关于采煤煤炭方面的外文翻译、中英文翻译、外文文献翻译
冶金 毕业设计 外文文献翻译 中英文:铁矿石烧结的最新进展
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Recent Developments in Iron Ore Sintering Sintering is the most widely used agglomeration process for iron ores.As the blast furnace is a countercurrent process in which solids descend against a rising gas flow,it is imperative that the ferrous burden is supplied in a lumpy form.It is necessary,therefore,to agglomerate fine ores by sintering or pelletising.Pelletising is usuallypreferred in locations where low grade iron ore is mined and concentrated,particularly in North America.In other regions,natural high grade iron ores are available and sintering offer a lower cost agglomeration route.Consequently,sinteringis by far the more widelyused iron ore agglomeration process outside North America.In the past decade,the annual production of sinter worldwide has ranged from 530 to 586 Mt.Production has fallen since 1989 following the dramatic events which occurred in the Commonwealth of Independent States (CIS,previously the USSR)and other parts of Eastern Europe as their steel industries restructure.The recessionary effects in Europe and Japan have also adversely affected production,although it is expected to recover slowly soon,except in the CIS and Eastern Europe.Although alternative ironmaking processes are emerging,they are not expected to impact significantly on blast furnace production in the nest decade and possibly beyond. Consequently,sintering production should be maintained at its present level for some time to come.Production will decline in Eastern Europe and the CIS as rationalisation continus but grqwth will continue in China,Korea,and Taiwan.Sintering technology has evolved rapidly in the past decade.This has been driven by the need to:(i)decrease energy consumption following the escalation of energy costs in the 1970s;(ii)increase productivilty as older,less efficient plants are closed;(iii)reduce production costs;(iv)reduce environmental impact.In addition to reducing energy consumption,the sinter plant manager has been required to improve product quality to enable energy savings at the blast furnace.In Japan,coke breeze consumption has decreased fromabout 55 kg/t sinter (1973) to 45 kg/t sinter in 1992.Similarly,ignition energy has dropped from about 190 to below 30 MJ/t sinter at some locations.Some European plants have achieved similar reductions in coke breeze consumption,but in general have not been as successful in reducing ignition energy repuirements.Blast furnace coke consumption has also fallen in the past decade,partly to be replaced by fine coal injected through the tuyeres.Part of the coke saving,however,can be attributed to improved sinter quality,notably reducibility and high temperature properties.As the steel industry becomes more competitive,there has been mounting pressure to close older,less efficient plants under rationalisation programmes.On some sites,this has meant the closure of one or some sinter plants and that the surviving plant must increase its productivity in order to satisfy blast furnace demands.In Japan,five plants were closed between 1983 and 1987,but annual producyion was maintained constant,with a consequent increase in productivity.In 1992,the plants at Fos-sur-Mer(Sollac) in France and Kakogawa(Kobe) in Japan achieved the highest productivities of 50t m-3/day.Other ways of reducing costs have also been sought.Iron ore is a major cost component and ironmakers have sought ways to increase their intake of cheaper materials such as fine ores or concentrates and also limonitic ore such as RobeRiver.The use of the maximum amount possible of secondary materials arising on the works such as dusts, sludges, slags, etc.,has also received considerable attention.International concern for the environment has resulted in plant being installed to remove dust and some gaseous emissions from sinter plant process gas.In this respect,Japan has led yhe way with the installation of electrostatic precipitators for dust control and,more significantly,with plants to remove sulphur oxides and nitrogen oxides.Over 50% of sinter plants in Japan have installed desulphurising equipment and two plants have equipment to remove nitrogen oxides.On the other hand,in Europe only the Thyssen Stahl No.4sinter plant (Sehwelgern) has desulphurising equipment.Gas cleaning equipment is expensive and significantly increases the cost of producing sinter.Nevertheless,as legal requirements are introduced in Europe,new control equipment many have to be installedat many plants.In the to optimise the operation and produce the most consistent product,good plant control is essential.Although not discussed here,control and consistency in blending are equally important.In the granulation stage, operators determine their optimum moisture content and then use this for control purposes.Many plants have installed online,infrared(IR)analysers to monitor the moisture concent of the granulated feed.The water addition in the drum is automatically adjusted to maintain the set moisture content.Some Japanese plants use Iranalysres for all feed materials to be compensate for moisture variations at the inlet to the granulationdrum .On some plants,air permeability measurements are performed on granulated feed manually or automatically.Water addition to the drum may then be adjusted depending on the outcome of this measurement.Automatic control is preferred to manual methods since it results in a more rapid response and more consistent feed to the sinter strand.Bethlehem Steel has installed an online permeability apparatus in their feed hopper above the roll feeder at Burns Harbor. At Italsider, preignition permeability is monitored continuously online using a 4 4 m suction box installed immediately before the ignition hood.This has enabled Italsider to increase permeability by 9% since 1980.At NKK,uniformity of ignition is improved using a radiation thermometer installed on the exit side of the ignition hood.It is designed to scan the surface or the bed from side to side in a predetermined cycle.A microcomputer analyses the data and controls the positions of the gas valves in order to minimise surface temperature variation.Sinter chemistry is largely controlled by the blending process thoudgh final trim for CaOand some other elements is possible using bins in the sinter plant.Control of FeOis more complicated but usually involves a change in coke addition or possibly bed height.Chemical analysis is the usual method for determining FeO but a few plants use a magnetic permeability device such as Permagnag,developed by CRM in the late 1960s.This technique is currently in use at British Steel,s Scunthorpe Works.NKK have reported that they are using an FeO meter online atFukuyama Works.In order to complete the sintering process,the strand is operated in such a way to ensure that burnthrough usually occurs at the penultimate windbox.Traditionally,control of burnthrough location is achieved by adjusting the strand speed.Burnthrough itself is difficult to monitor so it is extrapolated from waste gas temperature measurement.Normally,the waste gas temperature is monitored using thermocouples in the last 3,4, or 5 windboxes and the strand operated with maximum temperature in the penultimate windbox.At some of the more modern plants,temperature is measured at several positions in each windbox to eliminate variations across the width of the strand.An average temperature is then used for each windbix.This system is used at Sollac,Fos-sur-Mer, sinter plant with the incorporation of an IRSID model.铁矿石烧结的最新进展烧结是最广泛使用的铁矿石造块法。
气体检测系统中英文对照外文翻译文献
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⽓体检测系统中英⽂对照外⽂翻译⽂献中英⽂对照翻译研究智能⽓体检测系统⽂摘根据统计数据,中国近年来,煤⽓泄漏时有发⽣,对⼈⾝安全造成很⼤威胁,因此⽓体检测和监控系统是需要作为⼀个安全装置在家庭应⽤。
在本⽂中,智能⽓体检测系统的设计。
该检测仪采⽤单⽚机AT89S52为控制核⼼,采⽤催化燃烧式⽓体传感器元件MC112作为⽓体传感器(CH4)检测。
该系统的主要功能如下:浓度的实时监测CH4和显⽰的浓度值;发射声光报警信号,如果CH4浓度值超过报警值通过键盘⾯板输⼊;串⾏通信⼝发送数据地⾯以上主机。
软件调试和硬件仿真上述系统也实现在同⼀时间。
关键词:数据采集,传感器,串⾏通信,单⽚机。
在本⽂中,检测系统采⽤单⽚机作为控制计算机;整个系统的⽰意图如图1所⽰。
选择理由:单⽚机作为控制核⼼,它具有体积⼩尺⼨,⾼可靠性,低价格,使其成为⾏业使⽤⾮常合适智能仪表、实时控制领域。
系统的操作界⾯如图2所⽰。
在右上⾓号码显⽰默认的或⽤户定义的⽓体浓度值,在左上⾓显⽰检测到的⽓体浓度值。
报警灯的设置。
所有的功能通过设置控制⾯板上的按键控制,包括电源键,复位键,数据采集的关键。
其他键包括⼗个数字键,调整值键和回车键来改变阈值。
基本操作程序如下:⾸先按下电源键,系统初始化机数据采集的关键,LED在右上⾓显⽰的阈值1;⽤户可以定制阈值调整值的按键和数字键,然后按回车键确认更改。
系统开始检测⽓体浓度和上显⽰这些参左叶⾯积,同时实时数据的传输,通过RS-485总线主机地⾯上的。
3⽓体检测系统的硬件系统设计主要包括主控单元系统的硬件结构,传感器和信号放⼤电路,A/D转换模块,声光报警电路,键盘显⽰模块,串⼝通信模块。
3.1主控单元具有集成度⾼,体积⼩,价格低,单⽚机已⼴泛应⽤于⼯业过程中⼴泛应⽤包括控制,数据采集,机电⼀体化,智能仪表,家⽤电器和⽹络技术,以及显著提⾼的程度技术和⾃动化。
考虑在芯⽚选择两个因素,⼀是抗⼲扰的能⼒,提⾼单⽚机应⽤系统的⼲扰,图2. 系统运⾏界⾯图所以单⽚机必须有较⾼的外界⼲扰;⼆是单⽚机的性能价格⽐。
薄煤层综采设备的研制及工艺参数优化——外文文献翻译、中英文翻译
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【外文文献】1The thin coal bed synthesis picks the equipmentthe development and the craft parameter optimizationMainly discussed the thin coal bed synthesis which Zaozhuang Mining industry Group Company independently developed to pick the equipment in Tian the Chen Kuang success application, and to its supplementary equipment technological transformations and the technical characteristic, the working surface geological condition, the synthesis picked the equipment the craft parameter optimization and the working surface working procedure reasonable match safeguard technology measure has carried on the thorough analysis and the introduction.Because the thin coal bed its mining space is narrow, the efficiency is low, the working surface condition is bad, machinery equipment not necessary or mining coal craft imperfect and so on technical questions, difficulty with realizes the mine pit highly effective and the safety in production.Zaozhuang Mining industry Group Company profits from the experience which my guozhong thick above coal bed synthesis picks, picked the supplementary equipment in the thin coal bed synthesis the development and the craft parameter optimization aspect has carried on the beneficial exploration.In October, 2003, ore 531 working surfaces equipped in its Tian the Chen has independently developed and the improvement three machines supplementary equipment, has obtained the tangible effect, realization maximum daily production 3504t, the average month produced 89636t, created the roller thin coal bed synthesis to pick the unit to yearly produce 1,000,000 ton new levels.Equips this working surfaceequipment fund investment is 1088.10 Yuan, the equipment does not invest into the equipment coal plow surface 1/10.First, the synthesis picks the three machines necessary and the technical characteristic(1) hydraulic pressure supportAccording to the thin coal bed mining characteristic, uses the computer to carry on the movement analysis optimization and the intensity design to the support four link motion gears, satisfies the working condition, optimized the support structure:(1) support for the support shield type, has used the overall top-beam, two column supports has satisfied the big expansion and contraction request;(2) main structural element with the Q550 high strength structure steel plate manufacture, reduced the support weight.Front uses welds preheating, after welds the artificial aging welding craft, the guarantee structural element welding quality;(3) selects the great current capacity hydraulic pressure part, enhances the support the speed of response;(4) reasonable arrangement hydraulic circuit system, has enlarged the human, machine the space.Its development ZY2400/08/19 hydraulic pressure support technical characteristic is as follows: Two column support shield type, support 0.8~1.9m, support width 1.43~1.6m, center distance 1.5m, working resistance 2400kN, supports and protections intensity 0.41~0.46MPa, the adaptation inclination angle is not bigger than highly 35°, opera ting mode for neighbour control, support weight 6500kg.(2) coal mining machineUnifies thin coal bed mining the technical characteristic, has carried on the transformation to the coal mining machine following several aspects:(1) improvement design pump box, the solution gives off heat the question, satisfies the synthesis to pick the operation percentage high operating mode need;(2) designs a group of tapering spindle rocking shaft specially, causes the drum circle diameter to reduce, increases the leaf blade altitude correspondingly, does an inside job the quantity request satisfiedly;(3) optimized drum design, increases the leaf blade spiral angle of climbing reasonably, the improvement coaling effect;(4) decreases the fuselage suitably highly (824mm), coal mining machine each big joint place has made the corresponding improvement.After the transformation coal mining machine MG200-BW2 technical characteristic is as follows: Picks high scope 1.0~2.0m, the adaptation inclination angle is not big ger than 35°, the adaptation coefficient of hardness f≤3.5, drum diameter 800/1000mm, machine surface altitude 824mm, does an inside job measures 91mm, the hauling way for the non-chain hauling, biggest force of traction 250kN, hauling speed 0~6.14m/min, installing equipment power 200kW, voltage rank 660/1140V, machine gross weight 15t, machine total length 7858mm.(3) scraper conveyerMainly has carried on the transformation to the scraper conveyer in following several aspects:(1) has used in the thin coal bed scraper conveyer the double strand transmission structure, loses the coal condition to be able to improve;(2) home for the first time used middle the 22E trough section on the thin coal bed scraper conveyer, the complete machine rigidity, the intensity had enhances greatly;(3) reduces the nose, the airplane tail trough highly (is excessively 430mm), improved the coal mining machine to the nose, the airplane tail coal wall cutting condition;(4) strengthened the shovel board, the cable tank frame, the hauling platoon has sold and so on place the joint structure.After the transformation scraper conveyer SGZ-630/220 technical characteristic is as follows: Completed length 170m, the transportation measures 450t/h, the installing equipment power 2×110kW, scraper chain fast 1.07m/s, tight chain way for brake disc tight chain.Second, working surface geological conditionThe development synthesis picks the equipment ore 531 working surfaces to apply for the first time in Tian the Chen, the working surface moves towards the long wall type arrangement, moves towards the length is 950m, the inclined length is 156m, coal bed thickness 0.4~3.0m, average 1.25m, coefficient of hardness f =2, the coal bed inclination angle 10°~15°, average 13°, reserves 283,400 t.Coal dust explosion index 31. 9%, is the strong explosive coal bed.The working surface has the mudstone false roof partially, thick 0~1.8m, soft easy to brave, its upside divides into the iron grey thin silicarenite, about its lower part lamination thick 1.5m for goes against directly, above for average thickness 33.5m, hard, the crevasse growth always goes against.The ledger wall partially has 0.1~0.4m charcoal mudstone, the direct bottom is the pessimistic siltstone, thick 2.6m, the ins and outs are the pessimistic novaculite, hard, the bedding is clear, thickness 16m.North 531 working surfaces are located five pick lower part the area, the track descends a mountain the left wing, ground table +45m, mine shaftelevation - 722m~-768m, the geological condition is complex, tunneling period exposition fault 8, above in which 1.0m fault 4, the F6 reversed fault dropping variance is 4.0m, also has strip width 20m, extends the 220m wash zone along the trend to pass through the entire working surface.Third, working surface craft parameter optimizationThe working surface reasonable craft parameter determination, is the synthesis picks the supplementary equipment to realize the working surface high production foundation.(1) section of deep choiceThe overall evaluation coal mining machine power, the anthrax coefficient of hardness, coal bed thickness and pick high, the roof jointing growth situation, the support press forcing crisp coal factor definite truncation depth and so on wall depth, support supports and protections way.Through analyzes the working surface geological condition and the equipment necessary situation earnestly, the definite truncation depth is 0.6m.When roof jointing growth, cave-in of sides of a mine tunnel serious, each knife tries to break up a fight when carries on supports and protects in advance, enhances the circulation per unit area yield.(2) coal mining machine hauling speed V determination (formula omitted)(3) supports and protections with moves a wayUses a neighbour operation, prompt supports and protections.In the mining coal machine cut from now on, first will move the support to support the roof, then will again move the conveyer.The union coal bed thickness grasping lengthening bar expands and contracts the scope, in order to and supports and protects the roof highly by the reasonable frame position.When roof situation permission, moves in turn and separates the frame to move to unify, guaranteed moves a speed to satisfy the coal miningmachine coal cutting speed, realizes continuously the fast coal cutting need.(4) coal mining machine feed wayUses the MG200-BW2 coal mining machine to fall the coal, unidirectional mining coal, middle bevelling feed.The first drum shears goes against the coal, the latter drum shears the bottom coal, from notching.Fourth, working surface working procedure match safeguard measure The thin coal bed synthesis picks the working surface reasonable craft parameter the effective safeguard, mainly includes the working surface each transportation link the intercoordination and the over-load protection, the long distance communication direction, the working surface “three straight one even” and the geologic structure control measure, coal mine has used the home most advanced TK-200 communication control system for this Tian the Chen, strengthened the working surface production management, had guaranteed the working surface various working procedures best match, reduced the working surface failure rate large scale, enables the working surface operation percentage to achieve above 90%.(1) TK-200 communication control system application(1) system compositionThe TK-200 communication control system by the TK110 working surface controller, the TK120 power source, the TJ100 mineral product electric current detector set, the TK130 micro telephone, the TK130C multi-purpose telephones, the TK150 intelligent terminal, the TK150E intelligence coupler and the TK130-X five core belt shield mineral product pulling force electric cable is composed.(2) system application effectThe TK-200 communication control system application, fully displays its communication control integration function, reduced the working surface equipment breakdown large scale, maximum limit has realized during various working procedures coordinated operation, raised a working surface man-hour of use factor enormously, had guaranteed powerfully the thin coal bed working surface high production is highly effective.Its application effect mainly manifests in:First, because the TK-200 communication control system has arranged 12 TK130 system telephone in the working surface, is equipped with the control bench on the electric train, between working surface all telephones and the control bench may converse on the telephone willfully, the control bench may realize the working surface all equipment common control, reduced the mechanical and electrical failure rate large scale.Second, because the working surface micro telephone can realize the working surface on all fronts to amplify along the route, therefore enormous place then personal servant party chief, the Leader Ban production control, changed the former personnel back and forth to move the direction, rocks the sending a letter number, the frontline propaganda relation way, strengthened between the working surface each production working procedure coordination and the unification, causes between various working procedures the close coordination, displays in fully the unit time the regular cycle operation validity, enhanced the working efficiency greatly.Third, because has used the common control and the working surface along the route block system, enables the working surface along the route operator only the engine off, cannot starting.If must starting, informs the control bench starting, the control bench when, must carry on the language to report to the police, and is equipped with the delay feature, avoided formerly being blind opens the vehicle to damage theelectromechanical device or to create the security accident the phenomenon.If the working surface has the breakdown along the route, the operator may the rapid block system engine off, and informs all operating personnel, like this eliminates the accident in the embryonic stage, thus has guaranteed the safety in production.Fourth, TK-200 communication control system itself has provided the TJ100 electric current examination alarm device, can as necessary uninterrupted carry on the examination to the working surface electric current, once examines the operating current to surpass the setting value, then carries on reports to the police, then the operator may adjust the coal cutting speed and the reduced mining coal quantity promptly, avoided because of the pressure which overloaded creates reduction gear the accident phenomenon and so on sliding, burning the electrical machinery, damages occurrences, not only like this has facilitated the production, enhanced the efficiency, moreover reduced the material and the fitting consumption greatly.Fifth, Tian the Chen ore 531 working surface transportation lane arranges 3 belt conveyers and the slanting lane 1 scraper conveyer, transports the link to restrict the working surface operation percentage directly.After uses this system, through carefully calculates the most appropriate slanting lane scraper conveyer and the belt conveyer load, carried on to the working surface scraper conveyer operating current has reported to the police the hypothesis, thus reduced the slanting lane scraper conveyer and the belt conveyer overload and the time of idle running, not only saved the electrical energy, moreover enhanced the working surface operation percentage.(2) working surface geological condition compatibility control measureGuarantees the working surface “straight three one even” is realizes the thin coal bed synthesis to pick the working surface regular production the effective method, when especially geologic structures and so on working surface fault or fold, the working surface equipment adapts the geological condition with difficulty, must strengthen the working surface production management, takes the effective control measure, reduces the equipment failure rate, enhances the working surface operation percentage.(1) guarantees the working surface “straight three one even” measure.The working surface implements the back guy management; The working surface hand illumination lamps and lanterns make the frame of reference; Pushes when slides, guarantees goes against slides the hoisting jack the traveling schedule to meet the standard requirements; If the working surface appears partially time not the straight phenomenon, should move promptly or moves slides; Raises the staff operational level, the enhancement sense of responsibility.(2) working surface fault measure.Adjusts between the working surface and the fault the included angle; The coal mining machine coal cutting will be prompt from now on moves the frame, will manage the good roof; The working surface support carries on supports and protects in advance; Controls the working surface cycle to press; If the nose appears partial braves to go against time, must select promptly goes against protects goes against; The belt pressure scratches goes against moves the frame; The coal wall hits supposes the wooden anchor rod, guards against the cave-in of sides of a mine tunnel; When necessity, hangs the I-steel on the support to be throat Liang; The attention hangs Liang, prevented the support drills the bottom.(3) working surface fold measure.The adjustment fold axial both sides slope, the government leader when is big to the both sides slope, suitably leaves a stub the coal, when the axial both sides slope is small, should the suitable broken bottom, guarantee the axial both sides slope to be gentle; Adjusts the support as necessary, prevented the support is crooked; Enhancement fold section working surface roof management.(4) prevented the scraper conveyer leaps up moves the measure.The coal mining machine driver, moves a labor, pushes sneaks off one's job should coordinat e, to guarantee the working surface “straight closely three one even”; Controls the working surface top and bottom two lanes to push the progress; When the working surface support appears the incline, must square promptly; The working surface discovered when the scraper conveyer has the glide tendency, should fling the knife promptly or catch up with slides; Using the support side guard shield, adjusts the scraper conveyer, above the impediment leaps up glides down; The embedment sells or installs the hoisting jack, prevented the scraper conveyer leaps up moves; Selects the reasonable feed method, prevented on the scraper conveyer flees glides down.Fifth, conclusion(1) this set independently develops and the improvement synthesis picks the equipment the success application, has laid the solid foundation for the thin coal bed synthesis mechanization mining realization high and stable yield. Also equips this equipment fund aspect to invest is 1,088,000,000 Yuan, the equipment does not invest into the equipment coal plow working surface 1/10.(2) optimizes picks the craft parameter, strengthens the scene management, realization maximum daily production 3504t, the average month produces 89636t, created the roller thin coal bed synthesis to pick the unit to yearly produce 1,000,000 ton new levels.(3) applied the thin coal to pick the synthesis to pick the working surface working procedure reasonable match the safeguard technology measure, has realized the working surface equipment common control, strengthened the production management, the breakdown diagnosis and the accident platoon looks up.Had guaranteed the working surface various working procedures best match, enhanced the working surface operation percentage.【中文翻译】1薄煤层综采设备的研制及工艺参数优化主要探讨了枣庄矿业集团公司自行研制的薄煤层综采设备在田陈矿的成功应用,并对其配套设备的技术改造及技术特征、工作面地质条件、综采设备的工艺参数优化及工作面工序合理匹配的保障技术措施进行了深入分析与介绍。
常用研磨机外文文献翻译、中英文翻译、外文翻译
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常用研磨机外文文献翻译、中英文翻译、外文翻译Grinding machine is a crucial n processing method that offers high machining accuracy and can process a wide range of materials。
It is suitable for almost all kinds of material processing。
and can achieve very high n and shape accuracy。
even reaching the limit。
The machining accuracy of grinding device is simple and does not require complex ___.2.Types of Grinding MachinesGrinding machines are mainly used for n grinding of workpiece planes。
cylindrical workpiece surfaces (both inside and outside)。
tapered faces inside。
spheres。
thread faces。
and other types of ___ grinding machines。
including disc-type grinding machines。
shaft-type grinding machines。
ic grinding machines。
and special grinding machines.3.Disc-type Grinding MachineThe disc-type grinding machine is a type of grinding machine that uses a grinding disc to grind the ___。
采矿工程 毕业设计_外文翻译 英译汉 中英文
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ROOM-AND-PILLAR METHOD OF OPEN-STOPE MINING空场采矿法中的房柱采矿法Chapter 1.A Classification of the Room-and-Pillar Method of Open-Stope Mining第一部分,空场采矿的房柱法的分类OPEN STOPING空场采矿法An open stope is an underground cavity from which the initial ore has been mined. Caving of the opening is prevented (at least temporarily) by support from the unmined ore or waste left in the stope,in the form of pillars,and the stope walls (also called ribs or abutments). In addition to this primary may also be required using rockbolts , reinforcing rods, split pipes ,or shotcrete to stabilize the rock surface immediately adjacent to the opening. The secondary reinforcement procedure does not preclude the method classified as open stoping.露天采场台阶是开采了地下矿石后形成的地下洞室。
通过块矿或采场的支柱和(也称为肋或肩)采场墙形式的废料的支持来(至少是暂时的)预防放顶煤的开幕。
除了这个,可能还需要使用锚杆,钢筋棒,分流管,或喷浆,以稳定紧邻开幕的岩石表面。
国际贸易对碳排放的影响外文文献翻译中英文
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外文文献翻译(含:英文原文及中文译文)英文原文The effects of international trade on Chinese carbon emissionsB Wei ,X Fang ,Y WangAbstractInternational trade is an important impact factor to the carbon emissions of a country. As the rapid development of Chinese foreign trade since its entry into the WTO in 2002, the effects of international trade on carbon emissions of China are more and more significant. Using the recent available input-output tables of China and energy consumption data, this study estimated the effects of Chinese foreign trade on carbon emissions and the changes of the effects by analyzing the emissions embodied in trade between 2002 and 2007. The results showed a more and more significant exporting behavior of embodied carbon emissions in Chinese international trade. From 2002 to 2007, the proportion of net exported emissions and domestic exported emissions in domestic emissions increased from 18.32% to 29.79% and from 23.97% to 34.76%, respectively. In addition, about 22.10% and 32.29% of the total imported emissions were generated in processing trade in 2002 and 2007, respectively, which were imported and later exported emissions. Although, most of the sectors showed a growth trend in imported and exportedemissions, sectors of electrical machinery and communication electronic equipment, chemical industry, and textile were still the biggest emission exporters, the net exported emissions of which were also the largest. For China and other developing countries, technology improvement may be the most favorable and acceptable ways to reduce carbon emissions at present stage. In the future negotiations on emissions reduction, it would be more fair and reasonable to include the carbon emissions embodied in international trade when accounting the total emissions of an economy. Keywords: input-output analysis, carbon emissions, international trade, ChinaIntroductionGlobal warming has been considered an indisputable fact. The main reason is that the warming of the global climate system is due to the continuous increase in the concentration of greenhouse gases in the atmosphere, the result of human activities (IPCC, 2007). In order to avoid the possible negative impact on human society's global warming, a series of measures have been taken to reduce global greenhouse gas emissions to slow down global warming. However, around the CO2 emission reduction and the future allocation of carbon emission rights, the game plays a different interest group.With the development of globalization, the impact on the international trade of the environment is becoming more and moresignificant, including the potential impact of carbon emissions from geographical relocation. Many researchers estimate that it is reflected in international trade in certain countries as well as in the world economy (Wykoff and Rupp, carbon emissions in 1994; Schaefer and Lealdesa, 1996, Machado et al., 2001 Year; Munksgaard, Peder and Sen, 2001; Ahmed and Wykov, 2003; Sanchez-Chóliz and Duarte, 2004; Peters and Hess, 2006, 2008; Mäenpää et al, 2007; Keman et al., 2007). The general conclusion is that in a more open economy, the impact of large foreign trade on the carbon emissions of a country. In addition, all these studies have pointed out that import and export trade cannot ignore a relatively open economy; otherwise, energy and carbon emissions figures may be seriously distorted by this economy (Machado et al., 2001). In terms of total volume, the value of China’s trade surplus increased from US$30.43 billion in 2002 to US$261.83 billion in 2007 (National Bureau of Statistics, 2008). The rapid growth of China’s foreign trade will have a significant effect on China’s carbon emissions.As one of the countries with the highest carbon emissions, China is facing increasing pressure to reduce emissions. However, China is also a big country in international trade. The rapid development of China’s economy has led to steady growth in foreign trade. From 1997 to 2002, China’s total import and export value increased by an average annual growth rate of 14.35%. Since joining the World Trade Organization, theaverage annual growth rate of China’s trade has jumped to 28.64%. From 2002 to 2007, the value of exports compared with 2002, it increased by 2.7 times in 2007 to reach US$1.2177.8 billion. Imports also soared to US$955.95 billion in 2007, which was 2.2 times higher than the 2002 imports. In terms of total volume, the value of China’s trade surplus increased from US$30.43 billion in 2002 to US$261.83 billion in 2007 (National Bureau of Statistics, 2008). The rapid growth of China’s foreign trade will have a significant effect on China’s carbon emissions.However, quantitative assessment of the impact of China's international trade in energy use and carbon emissions has only recently begun. Estimates from the IEA (2007) show that China's domestic production and export of energy-related carbon dioxide emissions account for 34% of total emissions, and if it is used in 2004, the weighted average carbon intensity of commodity countries imported from China is estimated. China's net exports of EM-rich CO2 may be more than 17% of total emissions in 2004 (Levin, 2008). Using a single-area input-output model, Pan et al. (2008) estimated that their production of energy and emissions in 2002 accounted for 16% and 19% of China’s net exports of primary energy consumption, respectively, in 2002. In the input-output analysis, China reported that the discharge volume of pre-grid discharges to the United States accounted for about 5%. Weber et al. (2008), ESTI mating production exported from China's carbon dioxide emissions from1987 to 2005. In 2005, about one-third of China's emissions were due to production exports, and this proportion has risen from 12% in 1987 to 21% in 2002. In developed countries, consumption is driving this trend. Wei et al.'s estimation (2009a) also found that the presence of emissions in China's economy in 2002 reflected significant export behavior; in addition, subsequent exports (processing trade played by EMIS--) were total imports of 20 %the above. In addition, using a multi-area input-output model, Peters and Hewei (2008) also found that export emissions represented 24.4% of China's domestic emissions, and the proportion of imports in 2001 was only 6.6%. A similar study by Atkinson et al. (2009) also shows that China is a net exporter of carbon emissions in international trade. In recent years, using ecological input-output based on physical access programs, MOD-Y eling, Chen and Chen (2010) estimated that in 2007 China's export of carbon dioxide emissions and total energy were respectively 32.31% and 33.65% of total emissions.Both the United States and European countries are major importers of China’s export carbon emissions. Using the economic input-output life cycle assessment software, Ruihe Harris (2006) found that about 7% of China’s carbon dioxide emissions from exports to the United States during the period of 1997-2003 were produced by 14% of the total; the US’s CO2 emissions will At 3%-6%, if increased imports from Chinahave been produced in the United States. AP-walking a similar approach, Lee Hewitt found that bilateral trade between the United Kingdom and China (2008) produced about 4% of CO2 emissions. In 2004, China's CO2 emissions were for the UK market to produce goods and the UK trade decreased. About 11%. Weber et al. (2008) also found that most of China’s recent export emissions went to developed countries, approximately 27% of the United States, 19% of the EU-27, and 14% of the remaining Annex B countries, mainly Japan and Australia. And New Zealand. Recently, Xu et al. (2009) studied the impact of energy consumption and exhaust emissions on the environment. From 2002 to 2007, the use of environmental input-output analysis and adjustment of bilateral trade data reflected trade in the East (from China to the United States). Zhang (2009) has also obtained similar results. Energy and CO2 account for about 12% and 17% of China's energy consumption, and China's CO2 emissions are 8% and 12%, respectively.Although China's international trade is a meaningful research on carbon emissions, further related research is necessary because of the rapid development of China's foreign trade, especially the development of processing trade. According to statistics (National Bureau of Statistics, 2008), the export share of processing trade has been more than 50% of total exports since 1996. In 2002 and 2007, the share of processing trade reached 55.26% and 50.71%, which will be processing trade. Thenecessary distinction between the impact of general trade and China's carbon emissions.Since China's input-output table is only 5 years, we have chosen from 2002 (entry to the WTO) to 2007 (the latest issue), and China's international trade input-output table has impact on carbon emissions with the view of the last requirement of this paper. Influence changes. In addition, we distinguish between domestic processing trade and import investment in the assessment of production processes (import emissions and re-exports), which will help us to further understand the impact of international trade on emissions status. In this study, we tried to answer three questions: 1) What is the net emissions generated by foreign trade in China as a big country's foreign trade? 2) China from 2002 to 2007, International How does trade affect carbon emissions? 3) From 2002 to 2007, which departments were the major emitters of China's import and export trade and their roles?Uncertainty in the calculation of carbon emissionsThe calculation of emissions from China's trade reflects a certain degree of uncertainty. One is that the input-output analysis itself has many inherent uncertainties (more discussion in Lenzen, 2001). Based on an input-output table for China's single region, it allows us to obtain a relatively accurate assessment of the emissions that are reflected in China's exports, but this error may be more pronounced when estimatingthe emissions of goods and services exported to China. (Lenzen , 2001; Lenzen et al., 2004). Another important factor of uncertainty is that the calculations come from different regions, which may underestimate the method of importing the carbon intensity factor that is reflected in the import of larger proportion of finished product producing countries and tertiary industries, and the smaller proportion of secondary industries. In addition, the method of pro-grade introduction of the column will inevitably result in some errors in order to obtain a matrix from the inlet of the original import and export table.At present, for reasons of data availability, we cannot fully quantify the accuracy of our calculations, but preliminary estimates suggest that the use of more accurate data results from research will not significantly change the conclusions of this analysis. These restrictions will be improved through the use of multi-zone import and export tables and out-of-zone more detailed industry carbon intensity and sector-to-sector production processes in the future for detailed analysis.Understand the impact of international trade on carbon emissions in ChinaFrom 2002 to 2007, the impact of foreign trade on China’s carbon emissions has greatly expanded. It may be largely related to two factors. The first is the coal-based energy consumption structure. The secondary industry-based production structure will maintain high domestic energyintensity. In 2002, the coal consumption exchange was only 66.3% of the total energy consumption. The 44.8% of China's gross domestic product (GDP) is due to the secondary industry in 2002 (National Bureau of Statistics, 2008). In 2007, related stock prices rose as high as 69.5% and 48.6%, respectively, which will lead to the fact that the unit exports are higher than the carbon emissions reflected in unit imports. The second factor, which may be a more important factor, is the rapid growth of export trade. From 2002 to 2007, China’s exports increased by 246.80%, while imports increased by 199.97% (National Bureau of Statistics, 2008). Export growth is significantly higher than imports, which may lead to a sharp increase in net exports. Decomposition analysis using input and output structures, Liu et al. (2010) also found that the total export expansion of export and energy-intensive products tends to expand, reflecting the export of energy from 1992 to 2005, but the improvement and change of energy efficiency in the primary energy consumption structure can offset part of the impact on export energy. The above driving force is implemented.Although, based on the coal-based energy consumption structure, the carbon dioxide emissions produced by the secondary industry-based production structure, the more important role, it may be difficult for China to adjust because of its endowment characteristics, and in a very short time Its structural characteristics and its current economicdevelop ment stage. In addition, the expansion of China’s foreign trade, including the expansion of the trade surplus, is mainly the result of the market economy’s maximizing its comparative advantage. The development-replacement of China's economy not only provided many of the world's goods and services, but also reduced the nation's production-based relative costs in developed countries. China’s foreign trade has always played an important role in the development of the world economy, due to its huge market, stable government system and abundant cheap labor. Therefore, it can be argued that at the current stage, for China's better methods to reduce the impact of international trade on national or global CO2 emissions should be to improve its production technology, reduce the intensity of energy consumption as a whole, not only to control China The amount of foreign trade. In addition, the imported goods from China should take part in China's carbon emission responsibilities, because the CON-consumer demand of foreign consumers has generated a large amount of China's carbon emissions, especially for consumers in developed countries.ConclusionDespite some uncertainties in this study, most areas produced from the details of the data, we can conclude that international trade has a significant impact on China's carbon emissions, and changed the impact of time on going. Compared with 2002 emissions, domestic exportemissions in 2007 increased from 267.07 MTC to 718.31 MTC, with a speed increase of over 160%; net exports also increased correspondingly, from 204.08 MTC up to 615.65 MTC, over 200% growth rate Now. From 23.97% in 2002, the share of domestic emissions from domestic emissions jumped to 34.76% in 2007. The share of pre-net transplants that exceeded domestic emissions also rose from 18.32% in 2002 to 29.79% in 2007. The results show that more and more significant net export behaviors of implied carbon emissions exist in China's economy and processing trade have more and more significant effects on carbon emissions.Regardless of the emissions of imported emissions or exports, most industries showed a growth trend in 2007. Compared with 2002, emissions although the sectoral emissions have changed for the entire economy from 2002 to 2002, The impact, of which the largest percentage of imported major department or China's export emissions remain unchanged. The largest import emissions (all or actual imports) come from the industries of electrical machinery and communications electronics, chemicals, smelting and rolling plus metals. Electrical machinery and communications electronics equipment, chemicals, textiles and other sectors are the largest emitters of exports, net exports of which are also the largest. Technological progress may be the most favorable and acceptable way for China and other developing countries toreduce their carbon emissions. Considering that the world’s largest carbon emissions and the recent increase in emissions are in developing countries, the historical responsibility for the current responsibilities, developed countries should also take more efforts to help developing countries reduce their carbon emissions. Economic growth through technical assistance And financial support. In the car's list of future emissions reductions, which include the total economic output, the carbon emissions reflected in international trade will be fair and reasonable.中文译文国际贸易对中国碳排放的影响: 一份具有经验性的分析作者:B Wei ,X Fang ,Y Wang摘要国际贸易是一个国家碳排放量重要的影响因素,自2002年加入世贸组织,中国对外贸易的快速发展对碳排放的影响越来越显著。
采煤专业外文翻译----中国煤矿开拓的沿革和成就
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附录A中国煤矿开拓的沿革和成就—矿井开拓的沿革和成就中国是世界上开采煤炭最早的国家之一,据记载在宋、元朝时,开采技术已发展到一定水平,但尚未形成完整的煤矿开拓系统。
到1876年和1877年相继建设的台湾基隆煤矿和开滦的唐山煤矿及林西煤矿等矿井,以及以后建设的抚顺西露天矿和阜新新邱露天矿等,才开始有了煤矿矿井开拓和露天开拓的雏形。
新中国成立后的1949年,共接收了320处矿井,全国产煤3243万t。
其中国有重点2353万t,地方国营890万t,内含集体煤矿145万t。
其中国营煤矿200处,规模均较小。
按矿井生产能力分,其中生产能力小于15万t/a的矿井占75%,大于30万t/a的矿井仅占5%。
多数矿井仍采用穿硐式、残柱式、高落式等采煤方法,采掘不分,许多矿井还是采用自然通风,更没有完善的通风系统和正规的运煤系统,也没有完善的排水系统。
1950年5月初成立的燃料工业部作出了在国营煤矿推行生产方法改革和安全生产的决议,提出了要有计划、有步骤地进行生产改革。
首先改革采煤方法,推行长壁式采煤方法以代替落后的采煤方法,同时逐步改革和建立了相应的运煤、运料、行人、排矸、通风、排水等生产系统,逐步地形成了煤矿的开拓系统。
开始以长壁式开采为主的正规的开拓系统进行改造,使1952年的煤炭产量达到了6350万,超过了旧中国历史最高水平的6190万t。
在1950~1952年全国煤矿恢复生产阶段,通过改革采煤方法,推行长壁式开采,建立正规的开拓系统和生产系统。
除了对旧矿进行技术改造外,并在东北老矿区开始了新井建设,开工建设了鹤岗矿物局东山立井、鸡西矿物局小恒山立井等17处,设计生产能力为1251万t开工新建井平均井型为73.58万t/a。
在恢复的三年中,包括改扩建和新建矿井,共投产60处。
生产能力为1564万t/a,平均井型为26.07万t/a,这种井型符合当时以炮采工作面为主的生产技术水平。
1953~1957年的第一个五年计划时期,在恢复和改建矿井的同时,还进行了大规模的新矿井建设,开工建设的新矿井194处,设计年生产能力7537万t/a,建成投产矿井205处,设计生产能力6376万t/a。
煤炭开采技术外文翻译
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外文翻译Coal Mining T echnology煤炭开采技术院校: 资源学院专业: 土木工程(矿建)班级: 2009级07班学生姓名: 学号: 时间: 2013年5月指导老师:煤炭开采技术摘要:在当今科技经济发展的新形势下,煤炭开采技术的研究必须面向国内国外两个市场、面向经济建设主战场,立足于煤炭开采技术的前沿,立足于中国煤炭发展战略所必要的技术储备,立足于煤炭工业中长期发展战略所必须的关键技术的攻关,立足于煤炭工业工程实际问题的解决,重点从事中长期研究开发和技术储备,跟踪产业科技前沿,开发有自主知识产权的以煤矿开采技术及配套装备为主导的核心技术,占领技术制高点。
关键词:采煤方法,围岩控制,巷道布置1、采煤方法和工艺采煤方法和工艺的进步和完善始终是采矿学科发展的主题。
采煤工艺的发展将带动煤炭开采各环节的变革,现代采煤工艺的发展方向是高产、高效、高安全性和高可靠性,基本途径是使采煤技术与现代高新技术相结合,研究开发强力、高效、安全、可靠、耐用、智能化的采煤设备和生产监控系统,改进和完善采煤工艺。
在发展现代采煤工艺的同时,继续发展多层次、多样化的采煤工艺,建立具有中国特色的采煤工艺理论。
我国长壁采煤方法已趋成熟,放顶煤采煤的应用在不断扩展,应用水平和理论研究的深度和广度都在不断提高,急倾斜、不稳定、地质构造复杂等难采煤层采煤方法和工艺的研究有很大空间,主要方向是改善作业条件,提高单产和机械化水平。
开发煤矿高效集约化生产技术、建设生产高度集中、高可靠性的高产高效矿井开采技术。
以提高工作面单产和生产集中化为核心,以提高效率和经济效益为目标,研究开发各种条件下的高效能、高可靠性的采煤装备和工艺,简单、高效、可靠的生产系统和开采布置,生产过程监控与科学管理等相互配套的成套开采技术,发展各种矿井煤层条件下的采煤机械化,进一步改进工艺和装备,提高应用水平和扩大应用范围,提高采煤(1)开发“浅埋深、硬顶板、硬煤层高产高效现代开采成套技术”,主要解决以下技术难题。
农业用机械设备外文文献翻译、中英文翻译、外文翻译
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农业用机械设备外文文献翻译、中英文翻译、外文翻译在公元前1世纪,中国已经开始推广使用耧,这是世界上最早的条播机具,在北方旱作区仍然得到应用。
1636年,希腊制造了世界上第一台播种机。
1830年,俄国人在畜力多铧犁上加装播种装置制成了犁播机。
1860年后,英美等国开始大量生产畜力谷物条播机。
20世纪后,牵引和悬挂式谷物条播机以及运用气力排种的播种机相继出现。
50年代,精密播种机开始得到发展。
中国从20世纪50年代开始引进谷物条播机、棉花播种机等。
60年代,中国先后研制成了悬挂式谷物播种机、离心式播种机、通用机架播种机和气吸式播种机等多种类型,并研制成了磨纹式排种器。
到70年代,中国已经形成了播种中耕通用机和谷物联合播种机两个系列,并成功研制出了精密播种机。
播种机具有播种均匀、深浅一致、行距稳定、覆土良好、节省种子、工作效率高等特点。
正确使用播种机应注意以下10个要点:1)在进田作业前,要清理播种箱内的杂物和开沟器上的缠草、泥土,确保状态良好。
对拖拉机及播种机的各传动、转动部位,按照说明书的要求加注润滑油,尤其是每次作业前要注意传动链条润滑和张紧情况以及播种机上螺栓的紧固情况。
2)机架不能倾斜,播种机与拖拉机挂接后,不得倾斜,工作时应使机架前后呈水平状态。
3)搞好各种调整,按照使用说明书的规定和农艺要求,将播种量、开沟器的行距、开沟覆土镇压轮的深浅调整适当。
Seeder Tips1.Pay n to adding good quality seeds to the seed box to XXX。
Make sure there are no small。
broken。
or impure seeds。
Also。
XXX.2.Before large-scale seeding。
conduct a 20-XXX.3.Choose a suitable route for the seeding machine to move ina straight line at a constant speed。
毕业设计论文化学系毕业论文外文文献翻译中英文
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毕业设计论文化学系毕业论文外文文献翻译中英文英文文献及翻译A chemical compound that is contained in the hands of the problemsfor exampleCatalytic asymmetric carbon-carbon bond formation is one of the most active research areas in organic synthesis In this field the application of chiral ligands in enantioselective addition of diethylzinc to aldehydes has attracted much attention lots of ligands such as chiral amino alcohols amino thiols piperazines quaternary ammonium salts 12-diols oxazaborolidines and transition metal complex with chiral ligands have been empolyed in the asymmetric addition of diethylzinc to aldehydes In this dissertation we report some new chiral ligands and their application in enantioselective addition of diethylzinc to aldehydes1 Synthesis and application of chiral ligands containing sulfur atomSeveral a-hydroxy acids were prepared using the literature method with modifications from the corresponding amino acids valine leucine and phenylalanine Improved yields were obtained by slowly simultaneous addition of three fold excess of sodium nitrite and 1 tnolL H2SO4 In the preparation of a-hydroxy acid methyl esters from a-hydroxy acids following the procedure described by Vigneron a low yield 45 was obtained It was found that much better results yield 82 couldbe obtained by esterifying a-hydroxy acids with methanol-thionyl chlorideThe first attempt to convert S -2-hydroxy-3-methylbutanoic acid methyl ester to the corresponding R-11-diphenyl-2-mercapto-3-methyl-l-butanol is as the following S-2-Hydroxy-3-methylbutanoic acid methyl ester was treated with excess of phenylmagnesium bromide to give S -11-diphenyl-3-methyl-12-butanediol which was then mesylated to obtain S -11-diphenyl-3-methyl-2-methanesulfonyloxy -l-butanol Unfortunately conversion of S-11-diphenyl-3-methyl-2- methanesulfonyloxy -l-butanol to the corresponding thioester by reacting with potassium thioacetate under Sn2 reaction conditions can be achieved neither in DMF at 20-60 nor in refluxing toluene in the presence of 18-crown-6 as catalyst When S -1ll-diphenyl-3-methyl-2- methane sulfonyloxy -l-butanol was refluxed with thioacetic acid in pyridine an optical active epoxide R-22-diphenyl -3-isopropyloxirane was obtained Then we tried to convert S -11-diphenyl-3-methyl-l2-butanediol to the thioester by reacting with PPh3 DEAD and thioacetic acid the Mitsunobu reaction but we failed either probably due to the steric hindrance around the reaction centerThe actually successful synthesis is as described below a-hydroxy acid methyl esters was mesylated and treated with KSCOCH3 in DMF to give thioester this was than treated with phenyl magnesium bromide to gave the target compound B-mercaptoalcohols The enantiomeric excesses ofp-mercaptoalcohols can be determined by 1H NMR as their S -mandeloyl derivatives S -2-amino-3-phenylpropane-l-thiol hydrochloride was synthesized from L-Phenylalanine L-Phenylalanine was reduced to the amino alcohol S -2-amino-3-phenylpropanol Protection of the amino group using tert-butyl pyrocarbonate gave S -2-tert-butoxycarbonylamino-3-phenylpropane-l-ol which was then O-mesylated to give S -2-tert-butoxycarbonylamino-3-phenylpropyl methanesulfonate The mesylate was treated with potassium thioacetate in DMF to give l-acetylthio-2-tert-butoxycarbonylamino-3-phenylpropane The acetyl group was then removed by treating with ammonia in alcohol to gave S -2-tert-butoxycarbonylamino-3-phenyl-propane-l-thiol which was then deprotected with hydrochloric acid to give the desired S-2-amino-3-phenylpropane-1-thiol hydrochlorideThe enantioselective addition of diethylzinc to aldehydes promoted by these sulfur containing chiral ligands produce secondary alcohols in 65-79 Synthesis and application of chiral aminophenolsThree substituted prolinols were prepared from the naturally-occurring L-proline using reported method with modifications And the chiral aminophenols were obtained by heating these prolinols with excess of salicylaldehyde in benzene at refluxThe results of enantioselective adBelow us an illustration forexampleN-Heterocyclic carbenes and L-Azetidine-2-carboxylicacidN-Heterocyclic carbenesN-Heterocyclic carbenes have becomeuniversal ligands in organometallic and inorganic coordination chemistry They not only bind to any transition metal with low or high oxidation states but also to main group elements such as beryllium sulfur and iodine Because of their specific coordination chemistry N-heterocyclic carbenes both stabilize and activate metal centers in quite different key catalytic steps of organic syntheses for example C-H activation C-C C-H C-O and C-N bond formation There is now ample evidence that in the new generation of organometallic catalysts the established ligand class of organophosphanes will be supplemented and in part replaced byN-heterocyclic carbenes Over the past few years this chemistry has become the field of vivid scientific competition and yielded previously unexpected successes in key areas of homogeneous catalysis From the work in numerous academic laboratories and in industry a revolutionary turningpoint in oraganometallic catalysis is emergingIn this thesis Palladium Ⅱ acetate and NN"-bis- 26-diisopropylphenyl dihydro- imidazolium chloride 1 2 mol were used to catalyze the carbonylative coupling of aryl diazonium tetrafluoroborate salts and aryl boronic acids to form aryl ketones Optimal conditions include carbon monoxide 1 atm in 14-dioxane at 100℃ for 5 h Yields for unsymmetrical aryl ketones ranged from 76 to 90 for isolated materials with only minor amounts of biaryl coupling product observed 2-12 THF as solvent gave mixtures of products 14-Dioxane proved to be the superior solvent giving higher yieldsof ketone product together with less biphenyl formation At room temperature and at 0℃ with 1 atm CO biphenyl became the major product Electron-rich diazonium ion substrates gave a reduced yield with increased production of biaryl product Electron-deficient diazonium ions were even better forming ketones in higher yields with less biaryl by-product formed 2-Naphthyldiazonium salt also proved to be an effective substrate givingketones in the excellent range Base on above palladium NHC catalysts aryl diazonium tetrafluoroborates have been coupled with arylboron compounds carbon monoxide and ammonia to give aryl amides in high yields A saturated yV-heterocyclic carbene NHC ligand H2lPr 1 was used with palladium II acetate to give the active catalyst The optimal conditions with 2mol palladium-NHC catalyst were applied with various organoboron compounds and three aryl diazonium tetrafluoroborates to give numerous aryl amides in high yield using pressurized CO in a THF solution saturated with ammonia Factors that affect the distribution of the reaction products have been identified and a mechanism is proposed for this novel four-component coupling reactionNHC-metal complexes are commonly formed from an imidazolium salt using strong base Deprotonation occurs at C2 to give a stable carbene that adds to form a a-complex with the metal Crystals were obtained from the reaction of imidazolium chloride with sodium t- butoxide Nal and palladium II acetate giving a dimeric palladium II iodide NHC complex The structure adopts a flat 4-memberedring u2 -bridged arrangement as seen in a related dehydro NHC complex formed with base We were pleased to find that chloride treated with palladium II acetate without adding base or halide in THF also produced suitable crystals for X-ray anaysis In contrast to the diiodide the palladium-carbenes are now twisted out of plane adopting a non-planar 4-ring core The borylation of aryldiazonium tetrafluoroborates with bis pinacolatoborane was optimized using various NHC ligand complexes formed in situ without adding base NN"-Bis 26-diisopropylphenyl-45-dihydroimidazolium 1 used with palladium acetate in THF proved optimal giving borylated product in 79 isolated yield without forming of bi-aryl side product With K2CO3 and ligand 1 a significant amount of biaryl product 24 was again seen The characterization of the palladium chloride complex by X-ray chrastallography deL-Azetidine-2-carboxylic acidL-Azetidine-2-carboxylic acid also named S -Azetidine-2-carboxylic acid commonly named L-Aze was first isolated in 1955 by Fowden from Convallaria majalis and was the first known example of naturally occurring azetidine As a constrained amino acid S -Azetidine-2-carboxylic acid has found many applications in the modification of peptides conformations and in the area of asymmetric synthesis which include its use in the asymmetric reduction of ketones Michael additions cyclopropanations and Diels-Alder reactions In this dissertation five ways for synthesize S-Azetidine-2-carboxylic acid were studied After comparing all methods theway using L-Aspartic acid as original material for synthesize S-Azetidine-2-carboxylic acid was considered more feasible All mechanisms of the way"s reaction have also been studied At last the application and foreground of S -Azetidine-2-carboxylic acid were viewed The structures of the synthetic products were characterized by ThermalGravity-Differential Thermal Analysis TG-DTA Infrared Spectroscopy IR Mass Spectra MS and 1H Nuclear Magnetic Resonance 1H-NMR Results showed that the structures and performances of the products conformed to the anticipation the yield of each reaction was more than 70 These can conclude that the way using L-Aspartie acid as original material for synthesize S -Azetidine-2-carboxylic acid is practical and effective杂环化合物生成中包含手性等问题如催化形成不对称碳碳键在有机合成中是一个非常活跃的领域在这个领域中利用手性配体诱导的二乙基锌和醛的不对称加成引起化学家的广泛关注许多手性配体如手性氨基醇手性氨基硫醇手性哌嗪手性四季铵盐手性二醇手性恶唑硼烷和过渡金属与手性配体的配合物等被应用于二乙基锌对醛的不对称加成中在本论文中我们报道了一些新型的手性配体的合成及它们应用于二乙基锌对醛的不对称加成的结果1含硫手性配体的合成和应用首先从氨基酸缬氨酸亮氨酸苯丙氨酸出发按照文献合成α-羟基酸并发现用三倍量的亚硝酸钠和稀硫酸同时滴加进行反应能适当提高反应的产率而根据Vigneron等人报道的的方法用浓盐酸催化从α-羟基酸合成α-羟基酸甲酯时只能获得较低的产率改用甲醇-二氯亚砜的酯化方法时能提高该步骤的产率从 S -3-甲基-2-羟基丁酸甲酯合成 R -3-甲基-11-二苯基-2-巯基-1-丁醇经过了以下的尝试 S -3-甲基-2-羟基丁酸甲酯和过量的格氏试剂反应得到 S -3-甲基-11-二苯基-12-丁二醇进行甲磺酰化时位阻较小的羟基被磺酰化生成 S -3-甲基-11-二苯基-2- 甲磺酰氧基 -1-丁醇但无论将 S -3-甲基-11-二苯基-2- 甲磺酰氧基 -1-丁醇和硫代乙酸钾在DMF中反应 20~60℃还是在甲苯中加入18-冠-6作为催化剂加热回流都不能得到目标产物当其与硫代乙酸在吡啶中回流时得到的不是目标产物而是手性环氧化合物 R -3-异丙基-22-二苯基氧杂环丙烷从化合物 S -3-甲基-11-二苯基-12-丁二醇通过Mitsunobu反应合成硫代酯也未获得成功这可能是由于在反应中心处的位阻较大造成的几奥斯塑手村犯体的合成裁其在不对称奋成中肠左用摘要成功合成疏基醇的合成路是将a-轻基酸甲酷甲磺酞化得到相应的磺酞化产物并进行与硫代乙酸钾的亲核取代反应得到硫酷进行格氏反应后得到目标分子p一疏基醇用p一疏基醇与 R 义一一甲氧基苯乙酞氯生成的非对映体经H侧NM吸测试其甲氧基峰面积的积分求得其ee值 3一苯基一氨基丙硫醇盐酸盐从苯丙氨酸合成斗3一苯基一氨基丙醇由L一苯丙氨酸还原制备氨基保护后得到习一3一苯基一2一叔丁氧拨基氨基一1一丙醇甲磺酞化后得到习一3一苯基一2一叔丁氧拨基氨基一1一丙醇甲磺酸酷用硫代乙酸钾取代后得匀一3-苯基一2一叔丁氧拨基氨基一1一丙硫醇乙酸酷氨解得习一3一苯基一2一叔丁氧拨基氨基一1一丙硫醇用盐酸脱保护后得到目标产物扔3一苯基屯一氨基丙硫醇盐酸盐手性含硫配体诱导下的二乙基锌与醛的加成所得产物的产率为65一79值为O井92手性氨基酚的合成和应用首先从天然的L一脯氨酸从文献报道的步骤合成了三种脯氨醇这些手性氨基醇与水杨醛在苯中回流反应得到手性氨基酚手性氨基酚配体诱导下的二乙基锌与醛的加成所得产物的产率为45一98值为0一90手性二茂铁甲基氨基醇的合成和应用首先从天然氨基酸绿氨酸亮氨酸苯丙氨酸和脯氨酸合成相应的氨基醇这些氨基醇与二茂铁甲醛反应生成的NO一缩醛经硼氢化钠还原得到手性二茂铁甲基氨基醇手性二茂铁甲基氨基醇配体诱导下的二乙基锌与醛的加成所得产物的产率为66一97下面我们举例说明一下例如含氮杂环卡宾和L-氮杂环丁烷-2-羧酸含氮杂环卡宾含氮杂环卡宾已广泛应用于有机金属化学和无机配合物化学领域中它们不仅可以很好地与任何氧化态的过渡金属络合还可以与主族元素铍硫等形成配合物由于含氮杂环卡宾不但使金属中心稳定而且还可以活化此金属中心使其在有机合成中例如C-H键的活化C-CC-HC-O和C-N键形成反应中有着十分重要的催化效能现有的证据充分表明在新一代有机金属催化剂中含氮杂环卡宾不但对有机膦类配体有良好的互补作用而且在有些方面取代有机膦配体成为主角近年来含氮杂环卡宾及其配合物已成为非常活跃的研究领域在均相催化这一重要学科中取得了难以想象的成功所以含氮杂环卡宾在均相有机金属催化领域的研究工作很有必要深入地进行下去本文研究了乙酸钯和NN双 26-二异丙基苯基 -45-二氢咪唑氯化物1作为催化剂催化芳基四氟硼酸重氮盐与芳基硼酸的羰基化反应合成了一系列二芳基酮并对反应条件进行了优化使反应在常温常压下进行一个大气压的一氧化碳14-二氧杂环己烷作溶剂100℃反应5h 不同芳基酮的收率达7690仅有微量的联芳烃付产物 212 反应选择性良好当采用四氢呋喃或甲苯作溶剂时得到含较多副产物的混合物由此可以证明14-二氧杂环己烷是该反应最适宜的溶剂在室温或0℃与一个大气压的一氧化碳反应联芳烃变成主产物含供电子取代基的芳基重氮盐常常给出较低收率的二芳基酮而含吸电子取代基的芳基重氮盐却给出更高收率的二芳基酮及较少量的联芳烃付产物实验证明2-萘基重氮盐具有很好的反应活性和选择性总是得到优异的反应结果在此基础上由不同的芳基四氟硼酸重氮盐与芳基硼酸一氧化碳和氨气协同作用以上述含氮杂环卡宾作配体与乙酸钯生成的高活性含氮杂环卡宾钯催化剂催化较高收率地得到了芳基酰胺优化的反应条件是使用2mol的钯-H_2IPr 1五个大气压的一氧化碳以氨气饱和的四氢呋喃作溶剂由不同的有机硼化合物与三种芳基重氮盐的四组份偶联反应同时不仅对生成的多种产物进行了定 L-氮杂环丁烷-2-羧酸L-氮杂环丁烷-2-羧酸又称 S -氮杂环丁烷-2-羧酸简称为L-Aze1955年由Fowden从植物铃兰 Convallaria majalis 中分离得到成为第一个被证实的植物中天然存在的氮杂环丁烷结构作为一种非典型的氨基酸已经发现 S -氮杂环丁烷-2-羧酸可广泛用于对多肽结构的修饰以及诸如不对称的羰基还原Michael 加成环丙烷化和Diels-Alder反应等不对称合成中的多个领域本文通过对 S -氮杂环丁烷-2-羧酸合成路线的研究综述了五种可行的合成路线及方法通过比较选用以L-天冬氨酸为初始原料合成 S -氮杂环丁烷-2-羧酸的路线即通过酯化反应活泼氢保护格氏反应内酰胺化反应还原反应氨基保护氧化反应脱保护等反应来合成 S -氮杂环丁烷-2-羧酸分析了每步反应的机理并对 S -氮杂环丁烷-2-羧酸的应用及前景给予展望通过热分析红外质谱核磁等分析手段对合成的化合物的结构进行表征结果表明所得的产物符合目标产物所合成的化合物的结构性能指标与设计的目标要求一致每步反应的收率都在70%以上可以判定以L-天冬氨酸为初始原料合成 S -氮杂环丁烷的路线方案切实可行。
煤矿瓦斯预防治理中英文对照外文翻译文献
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煤矿瓦斯预防治理中英文对照外文翻译文献(文档含英文原文和中文翻译)翻译:西班牙Riosa–Olloniego煤矿瓦斯预防和治理摘要矿井中一直控制存在不同的气体在采矿环境。
这些气体中,甲烷是最重要的,他伴随着煤的产生而存在。
尽管在技术在近几十年来的发展,瓦斯灾害尚未完全避免。
瓦斯气体随着开采深度的增加而增多,甲烷排放量高的地方,也适用于其他采矿有关的情况,如生产的增长率及其后果:难以控制的甲烷浓度增加,机械化程度提高,使用炸药和不重视气控制系统。
本文的主要目的是建立实地测量,使用一些不标准的采矿控制风险评估方法的一部分,并分析了深部煤层瓦斯矿井直立的行为,以及防止发生瓦斯事故的关键参数。
最终目标是在开采条件的改善,提高矿井的安全性。
为此,设置了两个不同的地雷仪表进行矿井控制和监测。
这两个煤矿属于Riosa-Olloniego煤田,在西班牙阿斯图里亚斯中央盆地。
仪器是通过subhorizontal能级开采的,一个约1000米的山Lusorio根据实际深度覆盖的地区。
在本研究中,一个是有利于瓦斯突出的易发煤(第八层),测定其气体压力及其变化,这将有助于提供以前的特征以完成数据,并评估第一次测量的网站潜在的爆发多发地区提供一些指导。
本文运用一个气体测量管设计了一套用于测量一段时间由于附近的运作的结果,计算低渗气压力以及其变化。
本文建立了作品的重叠效应,但它也表明了两个预防措施和适用功效,即高压注水和一个保护煤层(第七层)的开采,必须优先开采保护层以防止瓦斯气体的涌出。
这两项措施构成的开采顺序,提高矿井安全性。
因此,应该完成系统的测量控制风险:在8煤层瓦斯压力影响的其他地区,要建立最合适的时刻进行开采作业。
进一步的研究可以把重点放在确定的渗透,不仅在瓦斯爆炸危险区,而且在那些还没有受到采矿的工作和更精细的调整过载时间的影响范围和矿井第7煤层和第8煤层之间的瓦斯气体。
关键词:煤矿,煤层气,气体压力渗透率瓦斯突出1 简介近年来,煤层气体和煤矿瓦斯研究蓬勃发展。
外文文献及外文翻译 1
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The Stereo Garage1.1 An overview of the stereo garageVehicles parked nowhere is the problem of the urban social, economic and transport development to a certain extent the result, Garage Equipment development in foreign countries, especially in Japan nearly 30-40 years. Whether technically or in terms of experience had been a success. China is also in the beginning of the 1990s developed mechanical parking equipment, which was 10 years in the past. Because a lot of new residents in the district with the ratio of 1:1. To address the size of parking spaces for tenants and business areas contradictions 3D mechanical parking equipment with an average size of a small motorcycle's unique characteristics, the majority of users have been accepted.Compared with the traditional natural underground garage, Machinery garage demonstrates its superiority in many respects. First, the mechanical garage has a prominent section of superiority. Past due to the underground garage must elapse enough lanes, the average car will occupy an area of 40 square meters, If the use of double-mechanical garage, which would enable ground to improve the utilization rate of around 80% to 90%, If using ground multi-storey (21 storey), three-dimensional garage, 50 square meters of land area will be placed on the 40 cars, which can greatly save the limited land resources, Civil and save development costs.To underground garage, Mechanical garage can be more effective to ensure personal and vehicle safety in the garage or car kept prospective location, the entire electronic control equipment would not operate. It should be said that the mechanical garage from the management can do a thorough separation of people and vehicles.In the underground garage using mechanical parking, it also can remove the heating ventilation; therefore, Operation of the power consumption than workers in the management of underground garage is much lower. Mechanical garage don't usually do complete system, but as a single machine containers. This will give full play to its small space, the advantages of decentralized, Each of the residential areas or groups downstairs to make a complete circuit can be set up random mechanicalparking building. This garage of the district can solve the shortage of parking difficulty in providing convenient conditions right now.Currently, three-dimensional garage mainly in the following forms: lifting and transferring,aisle stacking garage, vertical garage, vertical cycle, box-level cycle, the level of circulating round.1.1.1 Lifting and transferringLifting and transferring Garage modular design, each module can be designed into two, three, four levels, the five-story, semi-submerged in various forms, such as the number of parking spaces from a few to hundreds. Three-dimensional garage applies to the ground and underground car parks, configuration flexibility and cost is low.1. Product features:1) Save land, the configuration flexibility, and shorter construction period.2) Low prices, firefighting and exterior decoration, with a total investment on small foundations.3) Use automatic control, simple structure, safe and reliable.4) Access to a quick, short waiting time.5) Run a smooth, low noise.6) Applies to commercial, offices, and residential quarters supporting the use of car parks.2. Safety devices: anti-dropping device, a photoelectric sensor, spacing protectors, emergency stop switch.1.1.2 Aisle stacking garageAisle stacking garage used as a stacking machine tool access vehicles. All vehicles are stacking machine access, so the technical requirements for stacker higher, a single stacker cost is higher. So aisle stacking apply to the parking garage needs a few more customers.1.1.3 Vertical GarageVertical Garage Elevator similar to the principle that both sides of the hoist layout spaces. Generally need a ground vehicle rotary tables can be saved by the driver away. Vertical Garage generally higher high (tens of meters), safety equipment, Installation precision machining requirements are very high, high cost, but has the smallest area.1.1.4 Vertical cycleProduct features:1) covers an area of small; two berths area can stop 6-10 vehicles.2) The decoration can be added only roof, fire hydrants available.3) Low prices, foundation, external decoration, fire and other small investment, short construction periods.4) Use automatic control, safe and reliable operation.2.2.1 The stereo garage automatic control systemThe modern large-scale building mainstream is intelligent mansion and community. So, automated parking equipment or garage automatic control system will become intelligent mansion and an important part of community. Simple, fast, easy to use, safe, reliable, and less maintenance, to provide users with a safe, easy to use environment, This is auto-parking feature of the basic equipment. All parking equipment operating conditions, vehicles parked in time, vehicle storage Malaysia, garage storage capacity. Vehicles kept high and low peaks, and other information can be transmitted through the network of intelligent control center through intelligent control center operator, and the broadcasting system and the management office of the Division linked related to early release control, management information, thus achieving all the intelligent management. Building and the Community through the intelligent control of the center could also associate with social networking functions. Information released to the collection coming out or expands utilization of the garage social and economic benefits. This will be the automation of the development direction of the garage. Solid Garage automation control system include the following five major subsystems: automatic toll collection management system automatic access systems for remote diagnosis system, automatic Gate, control security system.Subsystems are more unified control of the central control room, for customers planning Garage form of management, Published garage inventory capacity, traffic control program.2.1.1 Automatic Toll Management SystemAutomatic charge adopts contactless IC card. IC card points long-term card and the stored-card. For fixed users, the issue of long-term cards, the cost of fixed users pays management fees paid together; on the temporary users, issue stored-value cards, namely: the user feespaid cards exist within each parking card reader automatically deducted from the cost.2.1.2 Automatic vehicle access systemAutomatic vehicle access system is generally controlled by small PLC. Including the identification card number and mobile disc contains two cars process. Users enter the garage at the entrance to Swiping cards, reader data automatically transmitted to the PLC control system, PLC system through the judgment card number and automatically set the corresponding site mobile trucks and vehicles to the handover location, the garage door opened, shorten the time access to cars. Truck drivers light signals in accordance with the guidelines created only when vehicles parked in a safe location, Parking will be normal light-Kai. Access car after the completion of the garage doors shut down automatically. Mobile site contains car, the system in strict accordance with the various signal detection mobile state, including long signal detection, Detection in place, the position detection limit, officers hit detection, emergency stop signal detection. If cars are running plate is not in place or vehicle length in excess of the permitted length of the garage, all vehicles disc will contain no action, If detected emergency stop signal to stop all action until the emergency stop signal disappeared. Above signals are hardware signals, in addition, the software can also be installed to control signal protection, such as the protection of the time, to ensure that the damage due to hardware failure to signal equipment and the main guarantee for the safety of vehicles.2.1.3 Remote diagnosis systemControllers can spot card, hubs and other network equipment and control center connected to the LAN, MODEN through remote management, monitoring the operation of the scene, when the scene failure, in the control center can be addressed to facilitate the management, e-office security personnel.2.1.4 Automatic GateIn the garage entrance of the no-contact reader, and the Gate of coil users in the garage entrances Swiping cards, the system automatically discriminates validity of the card, if valid, the Gateopen automatically, through induction coils, Automatic self-closing fence; If invalid, the Gate is not open, and sound and light alarm.2.1.5 Monitoring security systemMonitoring security system is in the central control room for monitoring and controlling the operation of the garage scene conditions. It has motion detection, license plate recognition, network connections, different types of alarm systems linkage, and other functions, can be achieved unguarded.System catalog:Video monitoring function : the garage entrances, and the duty, the main segments within the garage installation focusing cameras, On the larger spaces installation spherical platforms, in order to achieve all-round garage on real-time monitoring. If the garage light conditions of the poor would use black-and-white cameras.Motion Detection functions: setting up the night in the garage of motion detection region, detecting when there are a moving target, Motion Detection and Alarm function remind staffs.LPR functions: it can set up the garage light vehicle license plates, vehicle. When the light vehicles entering the garage regional surveillance, the system automatically cross-referenced with images of a very odd situation, issued a warning signal and automatic switching and record their images.Alarm linkage functions: all can move even the police mainframe, if activated Relay acousto-optic warning issued notice of security personnel to voluntarily disarm Gate interception of vehicular access.Digital video functions : it with a continuous record of what happened in the garage, can be synchronized intervals over images arbitrary choice of the overall image to enlarge and local amplification, recording, playback, backup can be conducted all kinds of information.Reportedly, has begun an increasing number of residential quarters began to use a mechanical garage. Taking into account the cost and maintenance, the majority of the district is a multi-storey lifting and transferring parking equipment, mass storage mechanical garage also rarely. Lifting and transferring Garage Equipment parking flow indicate the following:1、The sense of light yellow instructions garage operationRed lamp was ongoing operating instructions, please wait; Green light is currently no operating instructions, can operate; yellow light instructions were to fail, the garage can not work.2、The operationDrivers of vehicles enter from the garage entrance. At the entrance of non-contact sensors Reader former regional shaken following their IC cards, induction process completed, the fence automatically rises driver drove into the garage. The fence shut down automatically after vehicles entering. Card is the controller to read spaces, corresponding to the parking garage containing cars moved to the site automatically transfer vehicle location, Automatic garage door open units. Car drivers entering and parking in place, Latin hand brake, alighted out of the garage, using IC cards in the garage exit Huang about IC cards Garage door modules to shut down automatically. Completed deposit truck operators.3、Collect the car operationDrivers entering the garage at the entrance to the non-contact sensors Reader former regional shaken following their IC cards Controller automatically read spaces, corresponding to the parking garage containing cars moved to the site automatically transfer vehicle location, Automatic garage door open modules, drivers entering the garage and drive out, in the garage exit of the automatic reader before induction regional dazzle your own IC cards, sensors finished, the reader receive information, Host controller automatically recorded, prepaid, automatically raising the fence, the driver drove the playing field, appeared after fencing to shut down automatically. Meanwhile, Controller automatically read spaces, corresponding to the garage door unit shut down automatically. Vehicle operation finished.The garage has a complete self-protection device in the course of operation. A series of photoelectric switches, proximity switches, trip switches and other vehicles on site contains accurate operation in place to play a decisive role; falling unique defense installations, broken rope warning device, speeding vehicle protection device to protect the security role played. Detection of long vehicles, vehicle parking is not in place detection, and personnel into a detection signal of vehicles and the safety play a decisive role.翻译立体车库1.1 立体车库概述车辆无处停放的问题是城市的社会、经济、交通发展到一定程度产生的结果,立体停车设备的发展在国外,尤其在日本已有近3040年的历史,无论在技术上还是在经验上均已获得了成功。
中英文双语外文文献翻译:一种基于...
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中英⽂双语外⽂⽂献翻译:⼀种基于...此⽂档是毕业设计外⽂翻译成品(含英⽂原⽂+中⽂翻译),⽆需调整复杂的格式!下载之后直接可⽤,⽅便快捷!本⽂价格不贵,也就⼏⼗块钱!⼀辈⼦也就⼀次的事!英⽂3890单词,20217字符(字符就是印刷符),中⽂6398汉字。
A Novel Divide-and-Conquer Model for CPI Prediction UsingARIMA, Gray Model and BPNNAbstract:This paper proposes a novel divide-and-conquer model for CPI prediction with the existing compilation method of the Consumer Price Index (CPI) in China. Historical national CPI time series is preliminary divided into eight sub-indexes including food, articles for smoking and drinking, clothing, household facilities, articles and maintenance services, health care and personal articles, transportation and communication, recreation, education and culture articles and services, and residence. Three models including back propagation neural network (BPNN) model, grey forecasting model (GM (1, 1)) and autoregressive integrated moving average (ARIMA) model are established to predict each sub-index, respectively. Then the best predicting result among the three models’for each sub-index is identified. To further improve the performance, special modification in predicting method is done to sub-CPIs whose forecasting results are not satisfying enough. After improvement and error adjustment, we get the advanced predicting results of the sub-CPIs. Eventually, the best predicting results of each sub-index are integrated to form the forecasting results of the national CPI. Empirical analysis demonstrates that the accuracy and stability of the introduced method in this paper is better than many commonly adopted forecasting methods, which indicates the proposed method is an effective and alternative one for national CPI prediction in China.1.IntroductionThe Consumer Price Index (CPI) is a widely used measurement of cost of living. It not only affects the government monetary, fiscal, consumption, prices, wages, social security, but also closely relates to the residents’daily life. As an indicator of inflation in China economy, the change of CPI undergoes intense scrutiny. For instance, The People's Bank of China raised the deposit reserve ratio in January, 2008 before the CPI of 2007 was announced, for it is estimated that the CPI in 2008 will increase significantly if no action is taken. Therefore, precisely forecasting the change of CPI is significant to many aspects of economics, some examples include fiscal policy, financial markets and productivity. Also, building a stable and accurate model to forecast the CPI will have great significance for the public, policymakers and research scholars.Previous studies have already proposed many methods and models to predict economic time series or indexes such as CPI. Some previous studies make use of factors that influence the value of the index and forecast it by investigating the relationship between the data of those factors and the index. These forecasts are realized by models such as Vector autoregressive (VAR)model1 and genetic algorithms-support vector machine (GA-SVM) 2.However, these factor-based methods, although effective to some extent, simply rely on the correlation between the value of the index and limited number of exogenous variables (factors) and basically ignore the inherent rules of the variation of the time series. As a time series itself contains significant amount of information3, often more than a limited number of factors can do, time series-based models are often more effective in the field of prediction than factor-based models.Various time series models have been proposed to find the inherent rules of the variation in the series. Many researchers have applied different time series models to forecasting the CPI and other time series data. For example, the ARIMA model once served as a practical method in predicting the CPI4. It was also applied to predict submicron particle concentrations frommeteorological factors at a busy roadside in Hangzhou, China5. What’s more, the ARIMA model was adopted to analyse the trend of pre-monsoon rainfall data forwestern India6. Besides the ARIMA model, other models such as the neural network, gray model are also widely used in the field of prediction. Hwang used the neural-network to forecast time series corresponding to ARMA (p, q) structures and found that the BPNNs generally perform well and consistently when a particular noise level is considered during the network training7. Aiken also used a neural network to predict the level of CPI and reached a high degree of accuracy8. Apart from the neural network models, a seasonal discrete grey forecasting model for fashion retailing was proposed and was found practical for fashion retail sales forecasting with short historical data and better than other state-of-art forecastingtechniques9. Similarly, a discrete Grey Correlation Model was also used in CPI prediction10. Also, Ma et al. used gray model optimized by particle swarm optimization algorithm to forecast iron ore import and consumption of China11. Furthermore, to deal with the nonlinear condition, a modified Radial Basis Function (RBF) was proposed by researchers.In this paper, we propose a new method called “divide-and-conquer model”for the prediction of the CPI.We divide the total CPI into eight categories according to the CPI construction and then forecast the eight sub- CPIs using the GM (1, 1) model, the ARIMA model and the BPNN. To further improve the performance, we again make prediction of the sub-CPIs whoseforecasting results are not satisfying enough by adopting new forecasting methods. After improvement and error adjustment, we get the advanced predicting results of the sub-CPIs. Finally we get the total CPI prediction by integrating the best forecasting results of each sub-CPI.The rest of this paper is organized as follows. In section 2, we give a brief introduction of the three models mentioned above. And then the proposed model will be demonstrated in the section 3. In section 4 we provide the forecasting results of our model and in section 5 we make special improvement by adjusting the forecasting methods of sub-CPIs whose predicting results are not satisfying enough. And in section 6 we give elaborate discussion and evaluation of the proposed model. Finally, the conclusion is summarized in section 7.2.Introduction to GM(1,1), ARIMA & BPNNIntroduction to GM(1,1)The grey system theory is first presented by Deng in 1980s. In the grey forecasting model, the time series can be predicted accurately even with a small sample by directly estimating the interrelation of data. The GM(1,1) model is one type of the grey forecasting which is widely adopted. It is a differential equation model of which the order is 1 and the number of variable is 1, too. The differential equation is:Introduction to ARIMAAutoregressive Integrated Moving Average (ARIMA) model was first put forward by Box and Jenkins in 1970. The model has been very successful by taking full advantage of time series data in the past and present. ARIMA model is usually described as ARIMA (p, d, q), p refers to the order of the autoregressive variable, while d and q refer to integrated, and moving average parts of the model respectively. When one of the three parameters is zero, the model is changed to model “AR”, “MR”or “ARMR”. When none of the three parameters is zero, the model is given by:where L is the lag number,?t is the error term.Introduction to BPNNArtificial Neural Network (ANN) is a mathematical and computational model which imitates the operation of neural networks of human brain. ANN consists of several layers of neurons. Neurons of contiguous layers are connected with each other. The values of connections between neurons are called “weight”. Back Propagation Neural Network (BPNN) is one of the most widely employed neural network among various types of ANN. BPNN was put forward by Rumelhart and McClelland in 1985. It is a common supervised learning network well suited for prediction. BPNN consists of three parts including one input layer, several hidden layers and one output layer, as is demonstrated in Fig 1. The learning process of BPNN is modifying the weights of connections between neurons based on the deviation between the actual output and the target output until the overall error is in the acceptable range.Fig. 1. Back-propagation Neural Network3.The Proposed MethodThe framework of the dividing-integration modelThe process of forecasting national CPI using the dividing-integration model is demonstrated in Fig 2.Fig. 2.The framework of the dividing-integration modelAs can be seen from Fig. 2, the process of the proposed method can be divided into the following steps: Step1: Data collection. The monthly CPI data including total CPI and eight sub-CPIs are collected from the official website of China’s State Statistics Bureau (/doc/d62de4b46d175f0e7cd184254b35eefdc9d31514.html /).Step2: Dividing the total CPI into eight sub-CPIs. In this step, the respective weight coefficient of eight sub- CPIs in forming the total CPI is decided by consulting authoritative source .(/doc/d62de4b46d175f0e7cd184254b35eefdc9d31514.html /). The eight sub-CPIs are as follows: 1. Food CPI; 2. Articles for Smoking and Drinking CPI; 3. Clothing CPI; 4. Household Facilities, Articles and Maintenance Services CPI; 5. Health Care and Personal Articles CPI; 6. Transportation and Communication CPI;7. Recreation, Education and Culture Articles and Services CPI; 8. Residence CPI. The weight coefficient of each sub-CPI is shown in Table 8.Table 1. 8 sub-CPIs weight coefficient in the total indexNote: The index number stands for the corresponding type of sub-CPI mentioned before. Other indexes appearing in this paper in such form have the same meaning as this one.So the decomposition formula is presented as follows:where TI is the total index; Ii (i 1,2, ,8) are eight sub-CPIs. To verify the formula, we substitute historical numeric CPI and sub-CPI values obtained in Step1 into the formula and find the formula is accurate.Step3: The construction of the GM (1, 1) model, the ARIMA (p, d, q) model and the BPNN model. The three models are established to predict the eight sub-CPIs respectively.Step4: Forecasting the eight sub-CPIs using the three models mentioned in Step3 and choosing the best forecasting result for each sub-CPI based on the errors of the data obtained from the three models.Step5: Making special improvement by adjusting the forecasting methods of sub-CPIs whose predicting results are not satisfying enough and get advanced predicting results of total CPI. Step6: Integrating the best forecasting results of 8 sub-CPIs to form the prediction of total CPI with the decomposition formula in Step2.In this way, the whole process of the prediction by the dividing-integration model is accomplished.3.2. The construction of the GM(1,1) modelThe process of GM (1, 1) model is represented in the following steps:Step1: The original sequence:Step2: Estimate the parameters a and u using the ordinary least square (OLS). Step3: Solve equation as follows.Step4: Test the model using the variance ratio and small error possibility.The construction of the ARIMA modelFirstly, ADF unit root test is used to test the stationarity of the time series. If the initial time series is not stationary, a differencing transformation of the data is necessary to make it stationary. Then the values of p and q are determined by observing the autocorrelation graph, partial correlation graph and the R-squared value.After the model is built, additional judge should be done to guarantee that the residual error is white noise through hypothesis testing. Finally the model is used to forecast the future trend ofthe variable.The construction of the BPNN modelThe first thing is to decide the basic structure of BP neural network. After experiments, we consider 3 input nodes and 1 output nodes to be the best for the BPNN model. This means we use the CPI data of time , ,toforecast the CPI of time .The hidden layer level and the number of hidden neurons should also be defined. Since the single-hidden- layer BPNN are very good at non-liner mapping, the model is adopted in this paper. Based on the Kolmogorov theorem and testing results, we define 5 to be the best number of hidden neurons. Thus the 3-5-1 BPNN structure is determined.As for transferring function and training algorithm, we select ‘tansig’as the transferring function for middle layer, ‘logsig’for input layer and ‘traingd’as training algorithm. The selection is based on the actual performance of these functions, as there are no existing standards to decide which ones are definitely better than others.Eventually, we decide the training times to be 35000 and the goal or the acceptable error to be 0.01.4.Empirical AnalysisCPI data from Jan. 2012 to Mar. 2013 are used to build the three models and the data from Apr. 2013 to Sept. 2013 are used to test the accuracy and stability of these models. What’s more, the MAPE is adopted to evaluate the performance of models. The MAPE is calculated by the equation:Data sourceAn appropriate empirical analysis based on the above discussion can be performed using suitably disaggregated data. We collect the monthly data of sub-CPIs from the website of National Bureau of Statistics of China(/doc/d62de4b46d175f0e7cd184254b35eefdc9d31514.html /).Particularly, sub-CPI data from Jan. 2012 to Mar. 2013 are used to build the three models and the data from Apr. 2013 to Sept. 2013 are used to test the accuracy and stability of these models.Experimental resultsWe use MATLAB to build the GM (1,1) model and the BPNN model, and Eviews 6.0 to build the ARIMA model. The relative predicting errors of sub-CPIs are shown in Table 2.Table 2.Error of Sub-CPIs of the 3 ModelsFrom the table above, we find that the performance of different models varies a lot, because the characteristic of the sub-CPIs are different. Some sub-CPIs like the Food CPI changes drastically with time while some do not have much fluctuation, like the Clothing CPI. We use different models to predict the sub- CPIs and combine them by equation 7.Where Y refers to the predicted rate of the total CPI, is the weight of the sub-CPI which has already been shown in Table1and is the predicted value of the sub-CPI which has the minimum error among the three models mentioned above. The model chosen will be demonstrated in Table 3:Table 3.The model used to forecastAfter calculating, the error of the total CPI forecasting by the dividing-integration model is 0.0034.5.Model Improvement & Error AdjustmentAs we can see from Table 3, the prediction errors of sub-CPIs are mostly below 0.004 except for two sub- CPIs: Food CPI whose error reaches 0.0059 and Transportation & Communication CPI 0.0047.In order to further improve our forecasting results, we modify the prediction errors of the two aforementioned sub-CPIs by adopting other forecasting methods or models to predict them. The specific methods are as follows.Error adjustment of food CPIIn previous prediction, we predict the Food CPI using the BPNN model directly. However, the BPNN model is not sensitive enough to investigate the variation in the values of the data. For instance, although the Food CPI varies a lot from month to month, the forecasting values of it are nearly all around 103.5, which fails to make meaningful prediction.We ascribe this problem to the feature of the training data. As we can see from the original sub-CPI data on the website of National Bureau of Statistics of China, nearly all values of sub-CPIs are around 100. As for Food CPI, although it does have more absolute variations than others, its changes are still very small relative to the large magnitude of the data (100). Thus it will be more difficult for the BPNN model to detect the rules of variations in training data and the forecastingresults are marred.Therefore, we use the first-order difference series of Food CPI instead of the original series to magnify the relative variation of the series forecasted by the BPNN. The training data and testing data are the same as that in previous prediction. The parameters and functions of BPNN are automatically decided by the software, SPSS.We make 100 tests and find the average forecasting error of Food CPI by this method is 0.0028. The part of the forecasting errors in our tests is shown as follows in Table 4:Table 4.The forecasting errors in BPNN testError adjustment of transportation &communication CPIWe use the Moving Average (MA) model to make new prediction of the Transportation and Communication CPI because the curve of the series is quite smooth with only a few fluctuations. We have the following equation(s):where X1, X2…Xn is the time series of the Transportation and Communication CPI, is the value of moving average at time t, is a free parameter which should be decided through experiment.To get the optimal model, we range the value of from 0 to 1. Finally we find that when the value of a is 0.95, the forecasting error is the smallest, which is 0.0039.The predicting outcomes are shown as follows in Table5:Table 5.The Predicting Outcomes of MA modelAdvanced results after adjustment to the modelsAfter making some adjustment to our previous model, we obtain the advanced results as follows in Table 6: Table 6.The model used to forecast and the Relative ErrorAfter calculating, the error of the total CPI forecasting by the dividing-integration model is 0.2359.6.Further DiscussionTo validate the dividing-integration model proposed in this paper, we compare the results of our model with the forecasting results of models that do not adopt the dividing-integration method. For instance, we use the ARIMA model, the GM (1, 1) model, the SARIMA model, the BRF neural network (BRFNN) model, the Verhulst model and the Vector Autoregression (VAR) model respectively to forecast the total CPI directly without the process of decomposition and integration. The forecasting results are shown as follows in Table7.From Table 7, we come to the conclusion that the introduction of dividing-integration method enhances the accuracy of prediction to a great extent. The results of model comparison indicate that the proposed method is not only novel but also valid and effective.The strengths of the proposed forecasting model are obvious. Every sub-CPI time series have different fluctuation characteristics. Some are relatively volatile and have sharp fluctuations such as the Food CPI while others are relatively gentle and quiet such as the Clothing CPI. As a result, by dividing the total CPI into several sub-CPIs, we are able to make use of the characteristics of each sub-CPI series and choose the best forecasting model among several models for every sub-CPI’s prediction. Moreover, the overall prediction error is provided in the following formula:where TE refers to the overall prediction error of the total CPI, is the weight of the sub-CPI shown in table 1 and is the forecasting error of corresponding sub-CPI.In conclusion, the dividing-integration model aims at minimizing the overall prediction errors by minimizing the forecasting errors of sub-CPIs.7.Conclusions and future workThis paper creatively transforms the forecasting of national CPI into the forecasting of 8 sub-CPIs. In the prediction of 8 sub-CPIs, we adopt three widely used models: the GM (1, 1) model, the ARIMA model and the BPNN model. Thus we can obtain the best forecasting results for each sub-CPI. Furthermore, we make special improvement by adjusting the forecasting methods of sub-CPIs whose predicting results are not satisfying enough and get the advanced predicting results of them. Finally, the advanced predicting results of the 8 sub- CPIs are integrated to formthe forecasting results of the total CPI.Furthermore, the proposed method also has several weaknesses and needs improving. Firstly, The proposed model only uses the information of the CPI time series itself. If the model can make use of other information such as the information provided by factors which make great impact on the fluctuation of sub-CPIs, we have every reason to believe that the accuracy and stability of the model can be enhanced. For instance, the price of pork is a major factor in shaping the Food CPI. If this factor is taken into consideration in the prediction of Food CPI, the forecasting results will probably be improved to a great extent. Second, since these models forecast the future by looking at the past, they are not able to sense the sudden or recent change of the environment. So if the model can take web news or quick public reactions with account, it will react much faster to sudden incidence and affairs. Finally, the performance of sub-CPIs prediction can be higher. In this paper we use GM (1, 1), ARIMA and BPNN to forecast sub-CPIs. Some new method for prediction can be used. For instance, besides BPNN, there are other neural networks like genetic algorithm neural network (GANN) and wavelet neural network (WNN), which might have better performance in prediction of sub-CPIs. Other methods such as the VAR model and the SARIMA model should also be taken into consideration so as to enhance the accuracy of prediction.References1.Wang W, Wang T, and Shi Y. Factor analysis on consumer price index rising in China from 2005 to 2008. Management and service science 2009; p. 1-4.2.Qin F, Ma T, and Wang J. The CPI forecast based on GA-SVM. Information networking and automation 2010; p. 142-147.3.George EPB, Gwilym MJ, and Gregory CR. Time series analysis: forecasting and control. 4th ed. Canada: Wiley; 20084.Weng D. The consumer price index forecast based on ARIMA model. WASE International conferenceon information engineering 2010;p. 307-310.5.Jian L, Zhao Y, Zhu YP, Zhang MB, Bertolatti D. An application of ARIMA model to predict submicron particle concentrations from meteorological factors at a busy roadside in Hangzhou, China. Science of total enviroment2012;426:336-345.6.Priya N, Ashoke B, Sumana S, Kamna S. Trend analysis and ARIMA modelling of pre-monsoon rainfall data forwestern India. Comptesrendus geoscience 2013;345:22-27.7.Hwang HB. Insights into neural-network forecasting of time seriescorresponding to ARMA(p; q) structures. Omega2001;29:273-289./doc/d62de4b46d175f0e7cd184254b35eefdc9d31514.html am A. Using a neural network to forecast inflation. Industrial management & data systems 1999;7:296-301.9.Min X, Wong WK. A seasonal discrete grey forecasting model for fashion retailing. Knowledge based systems 2014;57:119-126.11. Weimin M, Xiaoxi Z, Miaomiao W. Forecasting iron ore import and consumption of China using grey model optimized by particleswarm optimization algorithm. Resources policy 2013;38:613-620.12. Zhen D, and Feng S. A novel DGM (1, 1) model for consumer price index forecasting. Greysystems and intelligent services (GSIS)2009; p. 303-307.13. Yu W, and Xu D. Prediction and analysis of Chinese CPI based on RBF neural network. Information technology and applications2009;3:530-533.14. Zhang GP. Time series forecasting using a hybrid ARIMA and neural network model. Neurocomputing 2003;50:159-175.15. Pai PF, Lin CS. A hybrid ARIMA and support vector machines model in stock price forecasting. Omega 2005;33(6):497-505.16. Tseng FM, Yu HC, Tzeng GH. Combining neural network model with seasonal time series ARIMA model. Technological forecastingand social change 2002;69(1):71-87.17.Cho MY, Hwang JC, Chen CS. Customer short term load forecasting by using ARIMA transfer function model. Energy management and power delivery, proceedings of EMPD'95. 1995 international conference on IEEE, 1995;1:317-322.译⽂:⼀种基于ARIMA、灰⾊模型和BPNN对CPI(消费物价指数)进⾏预测的新型分治模型摘要:在本⽂中,利⽤我国现有的消费者价格指数(CPI)的计算⽅法,提出了⼀种新的CPI预测分治模型。
焦煤炉中英文对照外文翻译文献
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中英文对照外文翻译文献(文档含英文原文和中文翻译)原文:Energy saving and some environment improvements in coke-oven plants AbstractThe enthalpy of inlet coal and fuel gas is discharged from a coke-oven plant in the following forms: chemical and thermal enthalpy of incandescent coke, chemical and thermal enthalpy of coke-oven gas, thermal enthalpy of combustion exhaust gas, and waste heat from the body of the coke oven. In recent years the recovery of several kinds of waste energy from coke ovens has been promoted mainly for energy saving purposes, but also for the improvement of environmental conditions. Among the various devices yet realized, the substitution of the conventional wet quenching method with a coke dry cooling is the most technically and economically convenient. The aim of this paper is mainly a review of the main types of coke dry cooling plants and a detailed examination of the infiuence of some parameters, particularly of temperature and pressure of the produced steam, and on the energy efficiency of these plants.1. Introduction1.1. Usable energyThe energy of a system-environment combination is usually defined as the amount of work attainable when the system is brought to a state of unrestricted equilibrium (thermal, mechanical and chemical) by means of reversible processes, involving only the environment at a uniformly constant temperature and pressure and comprising substances that are in thermodynamic equilibrium. Notwithstanding the quite different meaning, chemical energies differ from lower heating values slightly, as is discussed in [1,2]. The chemical energy generally falls between the higher and lower heating values but is closer to the higher.Nomenclaturec p constant pressure heat capacity [kJ/(kg K)]Ex energy [kJ]Ex u usable energy[kJ]ex specific energy[kJ/kg]G v volume flow rate [m3(nTp)/h]G v*specific volume flow rate [m3(nTp)/t dry coke]i specific enthalpy [kJ/kg]p pressure [bar]s specific entropy [kJ/(kg K]T temperature [︒C, K]T o environment temperature [︒C, K]v specific volume [m3/kg]Фenergy effciency [dimensionless]Nonetheless, the chemical energy is not suitable for quantifying the technical value of a fuel for two reasons: (i) Prior to considering heat transfer, it is necessary to account for the essentially irreversible combustion process, which decreases the exergies of various fuels greatly in different ways. (ii) The work corresponding to reversible expansion of several components (in particular CO2) down to their atmospheric partial pressures cannot be obtained from the combustion gas, as is implicit in the energyde®nition. In addition, this work differs with fuel type. Consequently, Bisio [3] defined usable energyas the exergeticvalue following an adiabatic combustion with a given excess air ratio (e.g., 1.1) minus the energyloss resulting from irreversible mixing of com-bustion gas with the atmosphere after having reached atmospheric pressure and temperature.The ratio of usable energyto lower heating value of a given fuel is termed the merit factor. This factor is always less than one and increases as the technical and economic values of a fuel rise.The parameter “usable exergy”, as has been de®ned and applied in [3], is suitable in the examin-ation of plants, that utilize fuel mixing, when the aim is to reduce both the total fuel consumption and, chiefly, the more valuable component one.1.2. Coke-oven energy recoveriesThe chemical energy of a fuel gas, which is used for a coke oven, amounts to 2500-3200 MJ/t dry coal. This energy, degraded to thermal energy of various operative values, is discharged from the plant in such forms:1.Thermal energy of incandescent coke (43-48%)2.Thermal enthalpy of coke-oven gas (24-30%)3.Thermal energy of waste gas (10-18%)4.Permeability, convection and radiation heat from the external surface of coke oven, and various losses (10-17%)The oil crisis of 1973 created a strong impulse towards a new thinking on the consumption and rational utilization of energy, particularly in the highly industrialized countries with limited indigenous energy resources. At the same time, attention throughout the world was also increas-ingly focused on environment problems.The possible utilization of the thermal energy of incandescent coke is dealt with in many papers . Usually, in coking technology the coke is cooled by being sprayed with water under special quenching towers. In recent years, the various types of dry cooling plants allow the recov-ery of nearly 80% of the thermal energy of incandescent coke. The possibilities of utilizing reco-vered energy are as follows:1.Production of steam and electricity.2.Preheating of coking coal.3.Room heating.The thermal energy of coke-oven gas, which is the second largest in the above listing, has so far been rarely utilized. Various studies, however, have been carried out for the possible utilization of this waste energy and a technique has recently been commercialized in Japan. The thermal energy of combustion exhaust gas is utilized to preheat both the combustion air and fuel gas mixture through a large-capacity regenerator. Consequently the waste gas temperature is reduced to approximately 200 C. Lately, the further recovery of heat from waste gas has been reported in a few cases using a heat pipe installed in the ¯ue.The various kinds of heat wasted from the coke-oven external surface have been decreased by the reinforced sealing and better thermal insulation of coke ovens.In the following sections, the main types of coke-oven energy recoveries will be considered for a comparison.1.3. Protection of the environmentAs with the problem of energy saving and recovery, the last years have been characterized by increased prevention of atmospheric and water pollution by industrial emissions and domestic wastes. Work to control atmospheric pollution has been carried out in all developed countries. According to Zaichenko et al. , as a result of including measures for environmental protection, the investment and the coking costs are increased by 15%. However, if the calculations included allowance for losses caused by adverse effects of atmospheric pollution on workers health, instal-lation of engineering facilities for maintaining clean air can be cost-effective. In any case, it is obvious that an environmental facility is particularly tempting when, as with coke dry cooling plants, in addition to environment advantages, an energy recovery can be associated, even if the investment costs are higher and not justi®ed only by energy saving.2. Coke dry quenching2.1. Methods for energy recovery and saving from coke at the coke-oven outletThe idea of recovering thermal energy from incandescent coke by means of an inert gas dates back to the early 1900s. The ®rst industrial plants, designed particularly by the Sulzer Brothers (Winterthur, Switzerland) were carried out in the '20s and '30s both in the USA and in Europe (Germany, France, UK, Switzerland) [4,18]. However, the greater investment costs of dry quench-ing plants, in comparison with those of the wet quenching ones, were amortized with dif®culty in a period in which energy was very cheap. Consequently, dry quenching plants were given up.In the early 1960s, a new interest arose: in the USSR, dry cooling plants, which basically followed the Sulzer design, were built with the primary aim of preventing the coke from freezing in winter, as happens with wet quenched coke. The plant, constructed in various countries accord-ing to the Soviet Giprokoks process [6], is schematically shown in Fig. 1. The red-hot coke, at a temperature of about 1100︒C, is pushed from ovens, A, into containers placed on cars. Loaded cars are moved to the dry cooling plant, where containers, B, are lifted by bridgecrane, C, and unloaded through the charging system, D, into pre-chamber, E. Then,hot coke is transferred into the cooling chamber, F, in small batches. After leaving the cooling chamber through the discharg-ing system, G, coke runs, at a temperature of about 200︒C, onto conveyor belt, H. Coke is refriger-ated by a circulating gas, composed mainly by nitrogen and moved by the main blower, I. This gas transfers thermal energy in boiler, N, which produces superheated steam, O, at a pressure up to 100 bar. Before entering the boiler, the gas is scrubbed in the coarse de-duster, J, removing coarse particles of coke dust to protect the boilersurface from erosion. After leaving the boiler, the gas streams through the ®ne deduster, K, where ®ne dust is scrubbed out.In 1983 a dry cooling plant, schematically shown in Fig. 2, began operation in Germany. Its main characteristic is that 1/3 of the thermal energy is transferred directly from the coke to the vaporizing water and the remaining 2/3 through the inert gas. The advantages are a lower quantity of circulating gas with a correspondingly lower consumption of electrical energy by the blower and a greater energy recovery. Refrigerating walls in the cooling chamber represent the critical point of the plant i.In Germany, a combination of the coke dry cooling and coal preheating plant has been developed [5,9,14±16]. This system realizes primary energy saving (e.g. gas) instead of energy recovery of lower energyvalue (steam) and thus it is thermodynamically preferred (see, e.g., [29]). In addition, the well-known advantages of the single processes with respect to coke quality and increased output have been con®rmed. The completely closed system permits significant environmental improvements in the coking plant sector, avoiding the immissions of dust into the atmosphere in a practically complete way.Jung [13] considered the convenience of using water gas (H 2+CO) as the heat transfer fluid.Indeed, water gas has a thermal diffusivity three times that of nitrogen, and thus it allows us to reduce the boiler surface by 50%.In an anonymous note of “Metal Producing” [10], it was stated that the most convenient uses of the energy recovered from coke dry quenching (at least in the USA) are the following: the drying of coal and the heating of makeup water for boilers that provide steam in the coke plant per se. Indeed, the energy is available when the coke plant is running, which is of course when it is required. In addition, these quantities of energy match fairly well.2.2. Research on the optimal temperatures and pressures of steam2.2.1. Generalities about energy and energyanalysisIn Fig. 3 energy and energyflow diagrams are reported for a typical coke dry cooling plant with inlet coke temperature=1050°C and outlet coke temperature=200°C. Both diagrams are use-ful, however, only energyflow is suitable to visualize the operative value of the various energies.From Fig. 3 one remarks that with such devices it is possible to recover about 44% of the energyvalue of the incandescent coke thermal energy, corresponding to about the 20% of the energyvalue of the inlet coal.Owing to the relatively low value of the energyefficiency of a coke dry quenching system, it seems interesting to research the optimal values of some parameters, and in particular the charac-teristics of the steam produced (pressure and temperature) in order to obtain the more con-venient plant.A computer analysis has been made, assuming some input data, experimentally obtained from a recent actual plant. The input data are the temperature and pressure values of the gas flowing through the plant, the mass flow rates of coke at the inlet and outlet of the coke cooling chamber,and at the outlet of the coarse deduster, the mass flow rate, temperature and pressure of steam,the blower is entropic efficiency, and the efficiency in the electromechanical conversion of the electroblower. The fundamental data are:quenched coke mass flow rate 56 t/hsteam mass flow rate 28 t/hinlet coke temperature 1050°Coutlet coke temperature 200°Cspecific volume flow rate of gas 1650m 3 (nTp)/t dry coke.By varying the temperature and pressure of steam and/or the gas flow rate, one has determinedthe variation of the system energy efficiency, Ф , so defined:where: Ex st =steam exergy; Ex wa =boiler feed water; Ex c =energycorresponding to the electrical work of the electroblower; Ex co =coke physical energy(thus, excluding the chemical component of energy to be utilized in blast furnace).2.2.2. Specific energydependence upon temperature and pressureLet us consider specific energyas a function of temperature, T and pressure, p. In the diagram of Fig. 4, the steam specific energyfor an open system is reported as a function of pressure for various values of temperature. It is to be remarked that specific energyincreases always as T increases at constant p (for temperatures above that of the environment), whereas not always exincreases as p rises at constant T. This result seems puzzling and contrary to the concept of exergy.To justify the topic in a valid way, let consider the definition of specific energyfor an open sys-tem:and thenThe variation of specific enthalpy, di, and of specific entropy, ds, as a function of T and p can be written as [30]:and thenFrom these relations, one obtains that energyincreases as temperature rises, when T>T o , and the opposite is verified, when T<T o , as is well known. About the influence of pressure, one can say that energyincreases as pressure rises, when (T-T o .) and ∂1vtp have opposite sign, and, since with very few exceptions ∂1vtp> 0, when (T-T o )>0.When (T-T o ) and ∂1vtp have the same sign, one cannot exclude the possibility that exergy decreases when pressure goes up. This indeed is verified in a range in which the attractive forces are greatly prevailing on the repulsive forces [31]. For the problem that is here considered, this happens for superheated steam not far from the critical point. This analysis justifies that some is othermal curves of Fig. 4 have a maximum for a given pressure.On the other hand, this result could be yet puzzling. Indeed, it is well known that the operative value increases always with pressure. To this purpose, let us compare the following parameters:From these relations, in the range in which for the steam ∂2ex Tp <0 it follows:and then it follows that, if energydecreases as pressure goes down, the decrease of enthalpy is higher and consequently, even if the operative of the unit mass of steam goes down, the ratio of this operative value to the “cost” for obtaining it (i.e. the necessary heat) goes up and this is in agreement with the fact that a higher pressure is technically always more valuable. 2.2.3. Analysis results“Recovered exergy”has been determined; the numerator of relation (1) gives this parameter.As an example, in Figs. 5 and 6 the recovered energyis shown for one value of the specific volume flow rate of gas, alternatively, with steam pressure in abscissae (and temperature as parameter) or with steam temperature in abscissae (and pressure as parameter). One remarks that the recovered energygoes up almost linearly as the steam temperature increases, and goes up always as the steam pressure rises (contrary to the steam specific entropy), but with negative second derivative.In Fig. 7 the recovered energyis shown for one value of steam temperature as a function of the specific volume flow rate of gas (in abscissae) for various steam pressures (reported as parameter). To justify the diagrams, it must be remarked that as the specific volume flow rate of gas increases, the heat exchanged in the boiler between the gas and the water-steam increases with negative second derivative. Consequently, for every fixed couple of values of T and p, the team flow rate and the total steam energyexhibit the same behavior. On the contrary,owing to the increase of the necessary gas compression work, the recovered energyhas a maximum in correspondence with a given specific volume flow rate of gas. This maximum, for every temperature value, tends to a higher specific volume flow rate, as the pressure increases. In particular, at p=80 bar, the maximum is near to the value G v * =1650m 3 (nTp)/t dry coke .The variations of the energyefficiency, owing to its definition and the constancy of the physical energyof the incandescent coke, are totally similar to those of the recovered exergy. Thus, onlytwo diagrams for energyefficiency in correspondence to a specific volume flow rate of gasG v* =1650m 3 (nTp)/t dry coke are reported. In Figs. 8 and 9, energyefficiency vs steam pressure (with steam temperature as parameter) or vs the steam temperature (with steam pressure as parameter),respectively, is reported.On the basis of the various diagrams (not all here reported), the specific volume flow rate of gas G v* =1650m 3 (nTp)/t dry coke seems to be the more convenient. The very low increase of the recovered energy(and thus of the energyefficiency), that can be noted for some values of the couple (T, p) of the steam in correspondence to values of the specific volume flow rate of gas G v* slightly higher than 1650 m 3 (nTp)/t dry coke does not probably compensate the higher plant and maintenance costs.The temperature rise allows a remarkable energyefficiency increase. Thus, it seems convenientto choose the maximum temperature consistent with the use of materials which are not particularly expensive. The limit value of T=540°C can be presently chosen.As the pressure rises, energyefficiency increases remarkably till a pressure of about 80 bar, and then the increase is progressively reduced. For what is known to authors, the maximum value till now applied is of 103 bar in a steel plant of Japan. Thus, it seems that the more convenient pressure value is about 100 bar.焦炉设备的能源节约和环境改善摘要在下面几种形式中焦炉设备的进口煤和燃气的热量是不可控制的:炽热焦的化学和热焓,焦炉煤气的化学和热焓,燃烧排放气的热焓,还有从焦煤炉体中浪费的大量热量。
矿井通风煤矿瓦斯利用论文中英文资料对照外文翻译文献综述
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中英文资料对照外文翻译文献综述附录A:Status of worldwide coal mine methaneemissions and useUnderground coal mines worldwide liberate an estimated 29–41×109 m3 of methane annually, of which less than 2.3×109 m3 are used as fuel. The remaining methane is emitted to the atmosphere, representing the loss of a valuable energy resource. Methane is also a major greenhouse gas and is thus detrimental to the environment when vented to the atmosphere. Coal mine methane recovery and use represents a cost-effective means of significantly reducing methane emissions from coal mining, while increasing mine safety and improving mine economics.The world’s ten largest coal producers are responsible for 90% of global methane emissions associated with the coal fuel cycle. China is the largest emitter of coal mine methane, followed by the Commonwealth of Independent States, or CIS particularly Russia, Ukraine and Kazakhstan, the United States, Poland, Germany, South Africa, the United Kingdom, Australia, India and the Czech Republic. Most of these countries use a portion of the methane that is liberated from their coal mines, but the utilization rate tends to be low and some countries use none at all. Coal mine methane is currently used for a variety of purposes. Methane is used for heating and cooking at many mine facilities and nearby residences. It is also used to fuel boilers, to generate electricity, directly heat air for mine ventilation systems andfor coal drying. Several mines in the United States sell high-quality mine gas to natural gas distributors. There are several barriers to decreasing methane emissions by increasing coal mine methane use. Many of the same barriers are common to a number of the subject countries. Technical barriers include low-permeability coals; variable or low gas quality, variations in gas supply an demand and lack of infrastructure.Economic and institutional barriers include lack of information pertinent to development of the resource, lack of capital and low natural gas prices. A possible option for encouraging coal mine methane recovery and use would be international adoption of a traceable permit system for methane emissions.1 IntroductionIn recent years, coalbed methane has gained attention as a saleable natural gas resource. Methane can be extracted either from coal seams which will never undergo mining, or it can be produced as a part of the coal mining process. This paper focuses on methane which is produced in conjunction with coal mining operations(coal mine methane). According to the United States Environmental Protection Agency (USEPA, 1994a), underground coal mines liberate an estimated 29 to 41×109 m 3of methane annually, of which less than 2.3×109 m3 are used as fuel. The remaining methane is vented to the atmosphere, representing the loss of a valuable energy resource. This paper examines the potential for recovering and using the methane which is currently being emitted from coal mines.There are three primary reasons for recovering coal mine methane. The first reason is to increase mine safety. Worldwide, there have beenthousands of recorded fatalities from underground mine explosions in which methane was a contributing factor. Using methane drainage systems, mines can reduce the methane concentration in their ventilation air, ultimately reducing ventilation requirements.The second reason is to improve mine economics. By reducing emissions and preventing explosions and outbursts, methane drainage systems can cost effectively reduce the amount of time that the coal mine must curtail production. Moreover, recovered methane can be used either as fuel at the mine site or sold to other users.The third reason for coalbed methane recovery and use is that it benefits the global and local environment. Methane is a major greenhouse gas and is second in global impact only to carbon dioxide; methane thus is detrimental to the environment if vented to the atmosphere. Although the amount of carbon dioxide accumulating in the atmosphere each year is orders of magnitude larger than that of methane, each additional gram of methane released to the atmosphere is as much as 22 times more effective in potentially warming the Earth’s surface over a 100-year period than each additional gram of carbon dioxide (USEPA, 1994a) . Compared with other greenhouse gases, methane has a relatively short atmospheric lifetime. The lifetime of methane (defined as its atmospheric content divided by its rate of removal) is approximately 10 years. Due to its short lifetime, stabilizing methane emissions can have a dramatic impact on decreasing the buildup of greenhouse gases in the atmosphere.Coal mine methane recovery and use represent a cost-effectivemeans of significantly reducing methane emissions from coal mines. Methane, moreover, is a remarkably clean fuel. Methane combustion produces no sulfur dioxide or particulates and only half the amount of carbon dioxide that is associated with coal combustion on an energy equivalent basis.Because of the environmental impact of coal mine methane emissions, the USEPA, the Int ernational Energy Agency’s Coal Advisory Board (CIAB), and others have investigated methane emissions from coal mining worldwide. The USEPA (1994a) estimates that the coal fuel cycle (which includes coal mining, post-mining coal transportation and handling, and coal combustion) emits 35 to 59×109 m3 of methane to the atmosphere annually. Table 1 shows methane emissions from the world’s ten largest coal producers, which are responsible for 90% of global methane emissions associated with the coal fuel cycle. Underground coal mining is the primary source of these emissions, accounting for 70 to 95% of total emissions.There are many opportunities for decreasing coal mine methane emissions by increasing recovery of this abundant fuel. Section 2 examines the status of methane recovery and use in key countries worldwide.2 Coal mine methane recovery and use in selected countries2.1 ChinaThe Peoples Republic of China (China) produces about 1.2×109 raw tons of hard coal annually (EIA, 1996). In 1990, coal mining activities in China emitted an estimated 14 to 24×109 m3 (10 to 16×106 ton) ofmethane to the atmosphere, contributing one-third of the world’s total from this source. Not only is China the largest coal producer in the world; it is unique in that underground mines produce over 95% of the nation’s coal. Because of the great depth and high rank of China’s coals, underground coal mines have higher methane emissions than surface mines.There are currently 108 Coal Mining Administrations (CMAs) in China, which manage more than 650 mines. These state-owned mines are responsible for most of China’s methane emissions, but there are numerous gassy local, township, and private mines that cumulatively produce over one-half of China’s coal. However, these non-states owned mines are not gassy (International Energy Agency or IEA, 1994).2.1.1 Methane recovery and use in ChinaChina has a long history of coal mine methane drainage, and the volume of methane drained has increased markedly during the past decade. Nationwide, coal mine methane drainage at state-run mines nearly doubled in 14 years, increasing from 294×106 m3 in 1980 to more than 561×106 m3 in 1994 .However, this is still less than 11% of the total methane liberated annually. Approximately 131 state-owned mines currently have methane drainage systems. Less than one-half of these mines are set up to distribute and use recovered methane. China’s state-run coal mining administrations use about 70% of the methane they drain (USEPA, 1996a).Most of the methane recovered from Chinese mines is used forheating and cooking at mine facilities and nearby residences. Methane is also used for industrial purposes, in the glass and plastics industries, and as a feedstock for the production of carbon black (an amorphous form of ca rbon used in pigments and printer’s ink). Methane is also being used, to a lesser extent, for power generation. In 1990, the Laohutai Mine at the Fushun Coal Mining Administration built a 1200 kW methane-fired power station, the first in China.Several barriers currently prevent China from developing economic methane recovery from coal mining to its full potential. Critical barriers include the lack of an appropriate policy framework, limited capital for project investments and equipment, the need for additional information and experience with technologies and the lack of a widespread pipeline network. Artificially regulated low gas prices and difficulty with repatriation of profits, create barriers to foreign investment in joint ventures for production of domestic energy resources (USEPA, 1993).2.1.2 The future of methane development in China Recognizing the need for a unified effort in advancing coalbed methane development, China’s highest governing body, the State Council, established the China United Coalbed Methane Company (China CBM) in May 1996. As a single, trans-sectoral agency, China CBM is responsible for developing the coalbed methane industry by commercializing the exploration, development, marketing, transportation and utilization of coalbed methane. The State Council has also granted China CBM exclusive rights to undertake theexploration, development and production of coalbed methane in coopera- tion with foreign partners (China Energy Report, 1996). More than 20 coalbed methane projects are underway or planned in China, and at least half of them are taking place at active mining areas. Some of the projects are state-sponsored, while others involve joint ventures with foreign companies. The future of the coalbed methane industry in China appears bright. The government recognizes coalbed methane’s potential for meeting the nation’s burgeoning energy needs and is generally supportive of efforts to develop this resource. With deregulation of energy prices, increased capital investment in pipeline infrastructure, and ongoing research efforts, China can likely overcome its remaining barriers to widespread coalbed methane use. 2.2 Russia, Ukraine and KazakhstanIn 1994, Russia produced more than 169×106 ton of hard coal; Kazakhstan produced nearly 104×106 ton and Ukraine more than 90×106 ton. The coal mining regions of these republics liberate approximately 5.3×109 m3 of methane annually, of which less than 3% is utilized. This amount represents about 20% of world methane emissions from underground coal mining.The energy sectors of these Republics are at a turning point. The coal mining industry, in particular, is undergoing restructuring, a process which includes decreasing or eliminating subsidies, and closing many of the most unprofitable mines. The industry is being compelled to become more efficient in order to increase profitability. Mining regions are also seeking to mitigate environmental problemsresulting from producing and using coal. Thus, there is an impetus to utilize more natural gas and decrease dependency on low grade coal. Increasing recovery and use of coalbed methane is a potential means of improving mine safety and profitability while meeting the regions’ energy and environmental goals.There are five coal basins in the Commonwealth of Independent States where hard coal is mined and which have the potential for coalbed methane development.They are: (1) the Donetsk Basin (Donbass) , located in southeastern Ukraine and western Russia, (2) the Kuznetsk Basin Kuzbass , located in western Siberia (south-central Russia) , (3)the L’vov-Volyn Basin, located in western Ukraine, which is the southeastern extension of Poland’s Lublin Basin, (4)the Pechora Basin, located in northern Russia and (5) the Karaganda Coal Basin, located in Kazakhstan.Of the five basins, the Donetsk and Kuznetsk Basins appear to have the largest near-term potential for coalbed methane development (USEPA, 1994b). Both of these regions are heavily industrialized and present many opportunities for coalbed methane use.2.2.1 Options for methane use in the CIS2.2.1.1 Heating mine facilities. Currently, most mines use coal-fired boilers to produce steam heat for drying coal, heating mine facilities and heating ventilation air. In some cases, mine boilers also supply thermal energy to the surrounding communities. Boilers can be retrofitted to co-fire methane with coal, a relatively simple and low-cost procedure. More than 20 mines in the Donetsk and PechoraBasins use methane to fuel boilers and several mines also use it for directly heating air for the mines’ ventilation systems and for coal drying (Serov, 1995; Saprykin et al., 1995).2.2.1.2. Use in furnaces in the metallurgical industry. Another viable market for methane use is the metallurgical industry. For example, the city of Novokuznetsk, in the southern portion of the Kuznetsk Basin, contains numerous gassy mines and is one of the biggest centers of metallurgy in Russia. The region’s metallurgical industry consumes about 54 PJ of natural gas annually, which is equivalent to about1.4×109 m3 of methane (USEPA, 1996b) .2.2.1.3. Power generation at mine facilities. Most mines purchase electricity from the power grid. Co-firing coalbed methane with coal to generate electricity on-site may be a more economical option for these mines. Coalbed methane can be used, independently of or in conjunction with coal, to generate electricity using boilers, gas turbines and thermal combustion engines (USEPA, 1994b).2.2.1.4. Use as a motor vehicle fuel. The Donetskugol Coal Production Association in Ukraine is draining methane in advance of mining using surface boreholes. The recovered methane is compressed on-site and used as fuel for the Association’s vehicle fleet. The refueling station, which has been operating for more than three years, produces about 1,000 m3 of compressed gas per day. Based on estimated gas reserves it is expected to operate for a total of eight years ( Pudak, 1995 ).While many mines in the CIS are utilizing their methane resources,the majority are not. Certain barriers must be overcome before recovery and use of coal mine methane becomes widespread. These barriers and their potential solutions are discussed in greater detail in Section 3 of this paper.2.3 The United StatesThere are five major coal producing regions in the United States from which hard coal is mined and which have the potential for coalbed methane development. They are: (1)the Appalachian Basin, located in Pennsylvania, Ohio, West Virginia, eastern Kentucky and Tennessee, (2)the Warrior Basin, located in Alabama, (3)the Illinois Basin, located in Illinois, Indiana and western Kentucky, (4)the Southwestern region, including the Uinta, Piceance, Green River and San Juan Basins located in Colorado, Utah and New Mexico and (5)the Western Interior region, including the Arkoma Basin of Oklahoma and Arkansas.In 1994, an estimated 4.2×109 m3 of methane were liberated by underground mining in these regions, of which less than 0.7×109 m3 were used(USEPA, unpublished data).Currently in the United States, at least 17 mines in six states (Alabama, Colorado,Ohio, Pennsylvania, Virginia and West Virginia)recover methane for profit, primarily through sale to gas distributors. In 1995, the total methane recovered from these mines, including vertical wells draining methane in advance of mining, exceeded 1×109 m3.By maximizing the amount of gas recovered via drainage systems, these mines have greatly reduced their ventilationcosts, improved safety conditions for miners and have collected and sold large quantities of high-quality gas. Following is a brief description of selected coal mine methane recovery activities in the United States.2.3.1 Warrior basin: AlabamaSix of the seventeen US mines with commercial methane recovery systems are located in the Warrior Basin of Alabama. Today, energy companies recover methane from the Warrior Basin by horizontal wells, gob wells(in areas being mined )and vertical wells(in both mined and unmined areas). Most of this gas is sold to regional natural gas distributors, although there is some on-site mine use. In 1995, four mines operated by Jim Walter Resources produced more than 380×106 m3 of methane for pipeline sale and USX’s Oak Grove Mine recovered an estimated 117×106 m3 of methane for use.2.3.2 Appalachian regionEight mines in Virginia and West Virginia have developed successful methane recovery and use projects. The Consol mines in Virginia are the most well-documented examples. Consol produces gas from a combination of vertical wells that are hydraulically stimulated, horizontal boreholes and gob wells drilled over longwall panels. In 1995, Consol produced approximately 688×106 m3 of saleable methane from three mines. Methane recovery efficiency at these mines is higher than 60%.2.3.3 Southwestern regionThe Soldier Canyon Mine in Utah recovered about 10.9×106 m3 ofmethane for sale annually until early 1994, when production was curtailed and gas sales ended due to low market prices.2.3.4 SummaryWhile methane recovery has been economically implemented at the above-described mines, safety and high coal productivity remain the impetus for their degasification efforts. Methane drainage at many gassy mines in the United States is limited or nonexistent. Section 3 of this paper discusses potential avenues for increasing methane recovery and use in the United States and other countries.2.4 GermanyGermany produced nearly 54 million tons of hard coal in 1995, all from underground mines (Schiffer, 1995). Of this total, 43 million tons were mined from the Ruhr Basin in northwestern Germany (Von Sperber et al., 1996)and most of the remainder was mined from the Saar Basin in southwestern Germany. Until recently, hard coal mining was heavily subsidized in Germany, and the industry’s future is in question (Schiffer, 1995). Even mines that are closed, however, can continue to liberate methane for long periods of time. An estimated 1.8×109 m3 of methane are liberated annually from underground mining activities in Germany, of which 520×106 m3, or 30%, are drained(63 IEA, 1994). About 371×106 m, or 71% of all drained methane is used, primarily for heating or power generation. Government officials suggest that as much as 45% of the methane emitted from coal mining activities could be drained and used in a variety of applications. The primary barrier to increased methanerecovery is low methane concentrations in the gas mixture.Safety regulations in Germany prohibit any utilization if the methane content is less than 25%. If the average recovery efficiency at German mines is to be increased, it will be necessary to adopt practices that will recover methane in a more concentrated form.3 Barriers to decreasing coal mine methane emissionsThere are several barriers to decreasing methane emissions by increasing coal mine methane use. Some are technical, such as low coal permeability, while others are Institutional, such as low gas prices. In a few cases, certain barriers are country orregion specific, but most cases, many of the same barriers exist in a number of countries. This section discusses obstacles to increased coal mine methane use, and potential ways to overcome these obstacles.3.1 Technical issues3.1.1 Low-permeability coalsCoal seams that exhibit low permeability pose special problems for developingsuccessful methane drainage and recovery systems. Methane desorbs and flows through natural pores and fractures until the gas reaches the mine face or borehole. Stimulation technology that enhances the flow of gases from the seam into a recovery system has been successfully used in the past several years. Early efforts to modify fracturing techniques for application in coal seams were largely unsuccessful (IEA, 1994). The current practice of hydraulic stimulation in coals, however, minimizes roof damage while achievingextensive fracturing. Under ideal conditions, 60 to 70% of the methane contained in the coal seam can be removed using vertical degasification wells drilled more than 10 years in advance of mining. These efforts have been successful in the United States and other industrialized countries. Transfer of this technology to other countries can help increase coal mine methane recovery.3.2 Economic and institutional issuesIn addition to the technical obstacles described above, there are a variety of other issues that have prevented coal mine methane recovery from becoming more widespread.These issues include lack of information, lack of capital, low natural gas prices and risks associated with foreign investment. Some issues are explored below.The key strategy for overcoming informational barriers in the United States has been to develop outreach programs. Outreach programs work well when companies are shown that they can profit while at the same time reducing emissions or improving mine safety. Examples of outreach prog rams include the USEPA’s Coalbed Methane Outreach Program, which is conducted in the United States, and the Coalbed Methane Clearinghouses in Poland, China and Russia. These institutions distribute information and link together interested parties, provide technical training, and in some cases perform pre-feasibility assessments for specific projects.3.2.1 Lack of informationIn the United States and other countries, one of the problems thathas slowed coal mine methane project development is that some coal mine operators do not have adequate information regarding coal mine methane projects. While much has been published on the subject, methane recovery is still seen as a relatively new concept to many coal operators. A related constraint is that some coal operators simply do not have the time or resources to investigate the potential to develop a profitable project at their own coal mine.3.2.2 Lack of capitalEven when a pre-feasibility assessment has demonstrated that the economics of a coal mine methane project are attractive, a lack of financing may prevent projects from taking place. Coal companies often do not have surplus capital available to invest in coalbed methane recovery and use projects because available capital must be invested in their primary business of coal production. Additionally, some lending organizations may be unfamiliar with the relatively new concept of coal mine methane recovery and use, and project developers may thus be unable to secure the necessary up-front financing needed to cover the large capital investments required for such projects.3.2.3 Low natural gas pricesIn some countries natural gas prices are held at artificially low rates. Even in countries whose gas prices are at market levels, prices may be low due to low demand. In such cases, special types of incentives to encourage coal mine methane recovery could be implemented. For example, legislation could be enacted requiring local distributioncompanies to purchase recovered coal mine methane if it is sold at a competitive price. China has recently established preferential policies for projects which involve gas recovery and use from coal mines. The government has also passed a law exempting coalbed methane producers from royalties and land occupation fees for production of up to 2×109 m3 of methane per year.4 ConclusionsAs discussed above, coal mines worldwide emit large volumes of methane, much of which could be recovered and used as fuel. In many instances, countries whose mines emit large quantities of methane are in critical need of a domestic energy source, particularly one which is clean-burning. In countries whose economies are in transition, such as China, the former Soviet Union and the Eastern European nations, coal mine methane recovery offers economic benefits as a new industry that can help provide jobs for displaced coal miners or other workers. In countries whose economies are established, such as the United States, the United Kingdom and Australia, coal mine methane recovery may help increase the profit margin of mining enterprises.The reduction of methane emissions can have a significant global impact, but incentives are needed to encourage more widespread recovery of coal mine methane. An incentive program offered on an international level would probably be the most effective means of stimulating development of the coal mine methane industry. Of the various options for international-level incentives, a system of tradeable permits for methane emissions would likely be the most cost effective.Due to various technical, economic and institutional barriers, it will never be possible to completely eliminate emissions of methane from coal mines. However, a worldwide coal mine methane utilization rate of 25% may be realizable, particularly if an international incentive program is implemented. This would reduce the estimated emissions of coal mine methane to the atmosphere by 7 to 10×109 m3 annually, substantially reducing greenhouse gas emissions and curtailing the waste of a valuable energy source.附录B全球煤矿瓦斯涌出及利用现状全球煤矿每年释放瓦斯29~41×109m3,其中少于2.3×109m3的瓦斯用作燃料,其余的被直接排放到大气中,这是能源的一种浪费。
热电联产中英文对照外文翻译文献
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中英文对照外文翻译文献(文档含英文原文和中文翻译)外文文献:The Optimal Operation Criteria for a Gas Turbine Cogeneration System Abstract: The study demonstrated the optimal operation criteria of a gas turbine cogeneration system based on the analytical solution of a linear programming model. The optimal operation criteria gave the combination of equipment to supply electricity and steam with the minimum energy cost using the energy prices and the performance of equipment. By the comparison with a detailed optimization result of an existing cogeneration plant, it was shown that the optimal operation criteria successfully provided a direction for the system operation under the condition where the electric power output of the gas turbine was less than the capacity.Keywords: Gas turbine; Cogeneration; Optimization; Inlet air cooling.1. IntroductionCogeneration, or combined heat and power production, is suitable for industrial users who require large electricity as well as heat, to reduce energy and environmental impact. To maximize cogeneration, the system has to be operated with consideration electricity and heat demands andthe performance of equipment. The optimal operation of cogeneration systems is intricate in many cases, however, due to the following reasons. Firstly, a cogeneration system is a complex of multiple devices which are connected each other by multiple energy paths such as electricity, steam, hot water and chilled water. Secondly, the performance characteristics of equipment will be changed by external factors such as weather conditions.For example, the output and the efficiency of gas turbines depend on the inlet air temperature. Lastly,the optimal solution of operation of cogeneration systems will vary with the ratio of heat demand to electricity demand and prices of gas, oil and electricity.Because of these complexities of cogeneration systems, a number of researchers have optimal solutions of cogeneration systems using mathematical programming or other optimization techniques. Optimization work focusing on gas turbine cogeneration systems are as follows. Yokoyama et al. [1] presented optimal sizing and operational planning of a gas turbine cogeneration system using a combination of non-linear programming and mixed-integer linear programming methods. They showed the minimum annual total cost based on the optimization strategies. A similar technique was used by Beihong andWeiding [2] for optimizing the size of cogeneration plant. A numerical example of a gas turbine cogeneration system in a hospital was given and the minimization of annual total cost was illustrated. Kong et al. [3] analyzed a combined cooling, heating and power plant that consisted of a gas turbine, an absorption chiller and a heat recovery boiler. The energy cost of the system was minimized by a linear programming model and it was revealed that the optimal operational strategies depended on the load conditions as well as on the cost ratio of electricity to gas. Manolas et al. [4] applied a genetic algorithm (GA) for the optimization of an industrial cogeneration system, and examined the parameter setting of the GA on the optimization results. They concluded that the GA was successful and robust in finding the optimal operation of a cogeneration system.As well as the system optimization, the performance improvement of equipment brings energy cost reduction benefits. It is known that the electric power output and the efficiency of gas turbines decrease at high ambient temperatures. Some technical reports [5, 6] show that the electric power output of a gas turbine linearly decreases with the rise of the ambient temperature, and it varies about 5 % to 10 % with a temperature change of 10 ◦C. Therefore, cooling of the turbine inlet air enhances electric output and efficiency. Some studies have examined theperformance of the gas turbine with inlet air cooling as well as the effect of various cooling methods [7, 8, 9].The cooling can be provided without additional fuel consumption by evaporative coolers or by waste heat driven absorption chillers. The optimal operation of the system will be more complex, however, especially in the case of waste heat driven absorption chillers because the usage of the waste heat from the gas turbine has to be optimized by taking into consideration the performance of not only the gas turbine and the absorption chiller but also steam turbines, boilers and so on. The heat and electricity demands as well as the prices of electricity and fuels also influence the optimal operation.The purpose of our study is to provide criteria for optimal operation of gas turbine cogeneration systems including turbine inlet air cooling. The criteria give the minimum energy cost of the cogeneration system. The method is based on linear programming and theKuhn-Tucker conditions to examine the optimal solution, which can be applied to a wide range of cogeneration systems.2. The Criteria for the Optimal Operation of Gas Turbine Cogeneration SystemsThe criteria for the optimal operation of gas turbine cogeneration systems were examined from the Kuhn-Tucker conditions of a linear programming model [10]. A simplified gas turbine cogeneration system was modeled and the region where the optimal solution existed was illustrated on a plane of the Lagrange multipliers.2.1. The Gas Turbine Cogeneration System ModelThe gas turbine cogeneration system was expressed as a mathematical programming model. The system consisted of a gas turbine including an inlet air cooler and a heat recovery steam generator (HRSG), a steam turbine, an absorption chiller, a boiler and the electricity grid. Figure 1 shows the energy flow of the system. Electricity, process steam, and cooling for process or for air-conditioning are typical demands in industry, and they can be provided by multiple suppliers. In the analysis, cooling demands other than for inlet air cooling were not taken into account, and therefore, the absorption chiller would work only to provide inlet air cooling of the gas turbine. The electricity was treated as the electric power in kilowatts, and the steam and the chilled water were treated as the heat flow rates in kilowatts so that the energy balance can be expressed in the same units.Figure 1. The energy flow of the simplified gas turbine cogeneration system with the turbineinlet air cooling.The supplied electric power and heat flow rate of the steam should be greater than or equal to the demands, which can be expressed by Eqs. (1-2).(1)(2)where, xe and xs represent the electric power demand and the heat flow rate of the steam demand. The electric power supply from the grid, the gas turbine and the steam turbine are denoted by xG, xGT and xST, respectively. xB denotes the heat flow rate of steam from the boiler, and xAC denotes the heat flow rate of chilled water from the absorption chiller. The ratio of the heat flow rate of steam from the HRSG to the electric power from the gas turbine is denominated the steam to electricity ratio, and denoted by ρGT. Then, ρGTxGT represents the heat flow rate o f steam from the gas turbine cogeneration. The steam consumption ratios of the steam turbine and the absorption chiller are given as ωST and ωAC, respectively. The former is equivalent to the inverse of the efficiency based on the steam input, and the latter is equivalent to the inverse of the coefficient of performance.The inlet air cooling of the gas turbine enhances the maximum output from the gas turbine. By introducing the capacity of the gas turbine, XGT, the effect of the inlet air cooling was expressed by Eq. (3).(3).It was assumed that the increment of the gas turbine capacity was proportional to the heatflow rate of chilled water supplied to the gas turbine. The proportional constant is denoted byαGT.In addition to the enhancement of the gas turbine capacity, the inlet air cooling improves the electric efficiency of the gas turbine. Provided that the improvement is proportional to the heat flow rate of chilled water to the gas turbine, the fuel consumption of the gas turbine can be expressed as ωGTxGT¡βGTxAC, whereωGT is the fuel consumption ratio without the inlet air cooling and βGT is the improvement factor of the fuel consumption by the inlet air cooling. As the objective of the optimization is the minimization of the energy cost during a certain time period, Δt, the energy cost should be expressed as a function of xG, xGT, xST, xB and xAC. By defining the unit energy prices of the electricity, gas and oil as Pe, Pg and Po, respectively, the energy cost, C, can be given as:(4)where, ωB is the fuel consumpti on ratio of the boiler, which is equivalent to the inverse of the thermal efficiency.All the parameters that represent the characteristics of equipment, such as ωGT, ωST, ωAC, ωB, ρGT, αGT and βGT, were assumed to be constant so that the system could be m odeled by the linear programming. Therefore, the part load characteristics of equipment were linearly approximated.2.2. The Mathematical Formulation and the Optimal Solution From Eqs. (1–4), the optimization problem is formed as follows:(5)(6)(7)(8)where, x = (xG, xGT, xST, xB, xAC). Using the Lagrange multipliers, λ = (λ1, λ2, λ3), theobjectivefunction can be expressed by the Lagrangian, L(x,λ).(9)According to the Kuhn-Tucker conditions, x and λ satisfy the following conditions at the optimal solution.(10)(11)(12)(13)The following inequalities are derived from Eq. (10).(14)(15)(16)(17)(18)Equation (11) means that xi > 0 if the derived expression concerning the supplier i satisfies the equali ty, otherwise, xi = 0. For example, xG has a positive value if λ1 equals PeΔt. If λ1 is less than PeΔt, then xG equals zero.With regard to the constraint g3(x), it is possible to classify the gas turbine operation into two conditions.The first one is the case where the electric power from the gas turbine is less than the capacity,which means xG < XGT + αGTxAC. The second one is the case where the electric power from the gas turbine is at the maximum, which means xGT = XGT + αGTxAC. We denominate the former and the latter conditions the operational conditions I and II, respectively. Due to Eq. (12) of the Kuhn-Tucker condition, λ3 = 0 on the operational condition I, and λ3 > 0 on the operational condition II.2.3. The Optimal Solution where the Electric Power from the Gas Turbine is less than theCapacityOn the operational condition I where xG < XGT + αGTxAC, Eqs. (14–18) can be drawn on the λ1-λ2 plane because λ3 equals zero. The region surrounded by the inequalities gives the feasible solutions, and the output of the supplier i has a positive value, i.e. xi > 0, when the solution exists on the line which represents the supplier i.Figure 2 illustrates eight cases of the feasible solution region appeared on the λ1-λ2 plane. The possible optimal solutions ar e marked as the operation modes “a” to “g”. The mode a appears in the case A, where the grid electricity and the boiler are chosen at the optimal operation. In the mode b,the boiler and the steam turbine satisfy the electric power demand and the heat flow rate of the steam demand. After the case C, the electric power from the gas turbine is positive at the optimal operation.In the case C, the optimal operation is the gas turbine only (mode c), the combination of the gas turbine and the boiler (mode d) or the combination of the gas turbine and the grid electricity (mode e). In this case, the optimal operation will be chosen by the ratio of the heat flow rate of the steam demand to the electric power demand, which will be discussed later. When the line which represents the boiler does not cross the gas turbine line in the first quadrant, which is the case C’, only the modes c and e appear as the possible optimal solutions. The modes f and g appear in the cases D and E, respectively. The suppliersThe cases A through E will occur depending on the performance parameters of the suppliers and the unit energy prices. The conditions of each case can be obtained from the graphical analysis. For example, the case A occurs if λ1 at the intersection of G and B is smaller than that at the intersection of GT and B, and is smaller than that at the intersection of ST and B. In addition, the line B has to be located above the line AC so that the feasible solution region exists. Then, the following conditions can be derived.(19)(20)(21)Equation (19) means that the gas cost to produce a certain quantity of electricity and steam with the gas turbine is higher than the total of the electricity and oil costs to purchase the same quantity of electricity from the grid and to produce the same quantity of steam with the boiler.Equation (20) means that the electricity cost to purchase a certain quantity of electricity is cheaper than the oil cost to produce the same quantity of electricity using the boiler and the steam turbine. Equation (21) indicates that the reduction of the gas cost by a certain quantity of the inlet air cooling should be smaller than the oil cost to provide the same quantity of cooling using the boiler and the absorption chiller. Otherwise, the optimal solution does not exist because the reduction of the gas cost is unlimited by the inlet air cooling using the absorption chiller driven by the boiler.Figure 2. The possible cases of the optimal solution on the operational condition ISimilar ly, the following conditions can be derived for the other cases. The condition given as Eq. (21) has to be applied to all the cases below.Case B:(22)(23)Equation (22) compares the production cost of the electricity and the steam between the gas and the oil. The gas cost to produce a certain quantity of electricity and steam by the gas turbine is higher than the oil cost to produce the same quantity of electricity and steam by thecombination of the boiler and the steam turbine. Equation (23) is the opposite of Eq. (20), which means that the oil cost to produce a certain quantity of electricity by the boiler and the steam turbine is cheaper than the purchase price of electricity.Case C:(24)(25)(26)(27)Equation (24) is the opposite case of Eq. (19). Equation (25) compares the boiler and the gas turbine regarding the steam production, which is related to the mode d. In the case C, the oil cos t for the boiler is cheaper than the gas cost for the gas turbine to produce a certain quantity of steam. If the gas cost is cheaper, mode d is not a candidate for the optimal sol ution, as illustrated in the case C’. Equations (26) and (27) evaluate the effectiveness of the steam turbine and the inlet air cooling by the absorption chiller,resp ectively. The grid electricity is superior to the steam turbine and to the inlet air cooling in this case.Case D:In addition to Eq. (25),(28)(29)(30)Similarly to the case C’, the case D’ occurs if the inequality sign of Eq. (25) is reversed. Equation (28) is the opposite case of Eq. (22), which is the comparison of the electricity production between gas and oil. Equation (29) is the opposite case of Eq. (26), which is the comparison of the steam turbine and grid electricity. The gas cost to produce a certain quantity of electricity by the combination of the gas turbine and the steam turbine is cheaper than the purchase cost of the same quantity of electricity from the grid. Equation (30) gives the condition where the steam turbine is more advantageous than the inlet air cooling by the absorption chiller. The left hand side of Eq. (30) represents an additional steam required for a certain quantity of electricity production by the inlet air cooling. Therefore, Eq. (30) insists that the steam required for a certain quantity of electricity production by the steam turbine is smaller than that requiredfor the same quantity of electricity production by the inlet air cooling in this case, and it is independent of energy prices.Case E:In addition to Eq.(25),(31)(32)The case E’ occurs if Eq. (25) is reversed. Equations (31) and (32) are the opposite cases of Eqs. (27)and (30), which give the conditions where the inlet air cooling is more advantageous compared with the alternative technologies. In this case, Eq. (28) is always satisfied because of Eqs. (21) and (32).The conditions discussed above can be arranged using the relative electricity price, Pe/Pg and the relative oil price, Po/Pg. The optimal cases to be chosen are graphically shown in Figure 3 on the Po/Pg-Pe/Pg plane. When Eq. (30) is valid, Figure 3 (a) should be applied. The inlet air cooling is not an optimal option in any case. When Eq. (32) is valid, the cases E and E’ appear on the plane and the steam turbine is never chosen, as depicted in Figure 3 (b). It is noteworthy that if the inlet air cooling cannot improve the gas turbine efficiency, i.e. βGT = 0, the inlet air cooling is never the optimal solution.As the cases C, D and E include three operation modes, another criterion for the selection of the optimal operation mode is necessary in those cases. The additional criterion is related with the steam to electricity ratio, and can be derived from the consideration below.In the c ases C, D and E, λ1 and λ2 have positive values. Therefore, two of the constraints given as Eqs. (6) and (7) take the equality conditions due to the Kuhn-Tucker condition Eq. (12). Then, the two equations can be solved simultaneously for two variables which have positive values at each mode.For the mode d, the simultaneous equations can be solved under xGT, xB > 0 and xG, xST, xAC = 0.Then, one can obtain xGT = xe and xB = xs ¡ ρGTxe. Because xB has a positive value, the following condition has to be satisfied for the mode d to be selected.(33)At the mode e, one can obtain xG = xe ¡ xs/ρGT and xGT = xs/ρGT, and the following condition can be drawn out of the former expression because xG is greater than zero at this mode.(34)Similar considerations can be applied to the cases D and E. Consequently, Eq. (33) is the condition for the mode d to be selected, while Eq. (34) is the condition for the modes e, f or g to be selected. Furthermore, it is obvious that the mode c has to be chosen if the steam to electricity ratio of the gas turbine is equal to the ratio of the heat flow rate of the steam demand to the electric power demand, i.e. ρGT = xs/xe.Equations (33) and (34) mean that when the steam to electricity ratio of the gas turbine is smaller than the ratio of the heat flow rate of the steam demand to the electric power demand, the gas turbine should be operated to meet the electric power demand. Then, the boiler should balance the heat flow rate of the steam supply with the demand. On the other hand, if the steam to electricity ratio of the gas turbine is larger than the ratio of the heat flow rate of the steam demand to the electric power demand,the gas turbine has to be operated to meet the heat flow rate of the steam demand. Then, the insufficient electric power supply from the gas turbine has to be compensated by either the grid (mode e), the steam turbine (mode f), or the inlet air cooling (mode g). There is no need of any auxiliary equipment to supply additional electric power or steam if the steam to electricity ratio of the gas turbine matches the demands.Figure 3. The optimal operation cases expressed on the relative oil price-relative electricity price plane (the operational condition I).2.4. The Optimal Solution where the Electric Power from the Gas Turbine is at the MaximumIn the operational condition II, the third constraint, Eq. (8), takes the equality condition and λ3 would have a positive value. Then, Eqs. (11) and (18) yields:(35)It is reasonable to assume that ρGT ¡ !AC ®GT > 0 and ωGT ¡ ¯GT ®GT > 0 in the case ofgas turbine cogeneration systems because of relatively low electric efficiency (¼ 25 %) and a high heat to electricity ratio (ρGT > 1.4). Then, the optimal solution cases c an be defined by a similar consideration to the operational condition I, and the newly appeared cases are illustrated in Figure 4. The cases F and G can occur in the operational condition II in addition to the cases A and B of the operational condition I. Similarly to the cases C’ and D’ of the operational condition I, the cases F’ and G’ can be defined where the mode h is excluded from the cases F and G, respectively.Figure 4. The optimal solution cases on the operational condition II.In the operational condition II, the conditions of the cases A and B are slightly different from those in the operational condition I, as given below.Case A:(36)(37)Case B:(38)(39)The conditions for the cases F and G are obtained as follows.Case F:(40)(41)(42)Case G:In addition to Eq. (41),(43)(44)The case s F’ and G’ occur whenthe inequality sign of Eq. (41) is reversed. Equations (36), (38),(40), (41), (42), (43) and (44) correspond to Eqs. (19), (22), (24), (25), (26), (28) and (29), respectively.In these equations, ωGT ¡ ¯GT®GTis substituted for ωGT, an d ρGT ¡ !AC®GTis substituted for ρGT.The optimal cases of the operational condition II are illustrated on the Po/Pg-Pe/Pg plane as shown in Figure 5. Unlike the operational condition I, there is no lower limit of the relative oil price for the optimal solution to exist. The line separating the cases F and G is determined by the multiple parameters.Basically, a larger ρGT or a smaller ωST lowers the line, which causes a higher possibility for the case G to be selected.Figure 5. The optimal operation cases expressed on the relative oil price-relative electricity price plane (the operational condition II).To find the optimal mode out of three operation modes included in the cases F or G, another strategy is necessary. The additional conditions can be found by a similar examination on the variables to that done for the cases C, D and E. In the operational condition II, three variables can be analytically solved by the constraints given as Eqs. (6), (7) and (8) taking equality conditions.In the mode g, only two variables, ωGT andωAC are positive and the other variables are equal to zero.Therefore, the analytical solutions of those in the operational condition II can be obtained from equations derived from Eqs. (6) and (7) as xGT = xe and xAC = (ρGTxe ¡xs)/ωA C. Then the third constraint gives the equality condition concerning xs/xe and XGT/xe as follows:(45)where, XGT/xe represents the ratio of the gas turbine capacity to the electricity demand, and XGT/xe ·1.For mode h, the condition where this mode should be selected is derived from the analytical solution of xB with xB > 0 as follows:(46)For the mode i, xG > 0 and xAC > 0 give the following two conditions.(47)(48)For the mode j, xST > 0 and xAC > 0 give the following conditions.(49)(50)The conditions given as Eqs. (45–50) are graphically shown in Figure 6. In the cases F and G,the operational condition II cannot be applied to the region of xsxe< ρGTXGT xeand xsxe<(ωST+ρGT)XGTxe¡ωST,respectively, because xAC becomes negative in this region. The optimal operation should be found under the operational condition I in this region.3. Comparison of the Optimal Operation Criteria with a Detailed Optimization ResultTo examine the applicability of the method explained in the previous section to a practical cogeneration system, the combination of the suppliers selected by the optimal operation criteria was compared with the results of a detailed optimization of an existing plant.3.1. An Example of an Existing Energy Center of a FactoryAn energy center of an existing factory is depicted in Figure 7. The factory is located in Aichi Prefecture, Japan, and produces car-related parts. The energy center produces electricity by a combined cycle of a gas turbine and a steam turbine. The gas turbine can be fueled with either gas or kerosene, and it is equipped with an inlet air cooler. The electric power distribution system of the factory is also linked to the electricity grid so that the electricity can be purchased in case the electric power supply from the energy center is insufficient.The steam is produced from the gas turbine and boilers. The high, medium or low pressure steam is consumed in the manufacturing process as well as for the driving force of the steam turbine and absorption chillers. The absorption chillers supply chilled water for the process, air conditioning and the inlet air cooling. One of the absorption chiller can utilize hot water recovered from the low temperature waste gas of the gas turbine to enhance the heat recovery efficiency of the system.Figure 6. The selection of the optimal operation mode in the cases of F and G.3.2. The Performance Characteristics of the EquipmentThe part load characteristics of the equipment were linearly approximated so that the system could be modeled by the linear programming. The approximation lines were derived from the characteristics of the existing machines used in the energy center.The electricity and the steam generation characteristics of the gas turbine and the HRSG are shown in Figure 8, for example. The electric capacity of the gas turbine increases with lower inlet air temperatures. The quantity of generated steam is also augmented with lower inlet air temperatures.In practice, it is known that the inlet air cooling is beneficial when the purchase of the grid electricity will exceed the power contract without the augmentation of the gas turbine capacity. Furthermore, the inlet air cooling is effective when the outdoor air temperature is higher than 11 ◦C. A part of the operation of the actual gas turbine system is based on the above judgement of the operator, which is also included in the detailed optimization model.3.3. The Detailed Optimization of the Energy CenterThe optimization of the system shown in Figure 7 was performed by a software tool developed for this system. The optimization method used in the tool is the linear programming method combined with the listed start-stop patterns of equipment and with the judgement whether the inlet air cooling is on oroff. The methodology used in the tool is fully described in the reference [11].Figure 7. An energy center of a factory.Figure 8. The performance characteristics of the gas turbine and the HRSG.The Detailed Optimization MethodThe energy flow in the energy center was modeled by the linear programming. The outputs of equipment were the variables to be optimized, whose values could be varied within the lower and upper limits. To make the optimization model realistic, it is necessary to take the start-stop patterns of the equipment into account. The start-stop patterns were generated according to thepossible operation conditions of the actual energy center, and 20 patterns were chosen for the enumeration. The optimal solution was searched by the combination of the enumeration of the start-stop patterns and the linear programming method. The list of the start-stop patterns of the gas turbine and the steam turbine is given in Figure 9.The demands given in the detailed optimization are shown in Figure 10 as the ratios of the heat flow rate of the steam demand to the electric power demand on a summer day with a large electric power demand and on a winter day with a small steam demand. On the summer day, the ratio of the heat flow rate of the steam demand to the electric power demand is at a low level throughout a day. While, it is high on the winter day, and during the hours 2 to 6, the ratio exceeds 1.4 that is the steam to electricity ratio of the gas turbine.Figure 9. The start-stop patterns of the gas turbine and the steam turbine.The Plant Operation Obtained by the Detailed OptimizationThe accumulated graphs shown in Figures 11 through 14 illustrate the electric power supply and the heat flow rate of the steam supply from equipment on the summer and winter days. On the summer day, the gas turbine and the steam turbine worked at the maximum load and the electric power demand was met by the purchase from the grid for most of the day except the hours 2 to 6, at which the electric power demand was small. The inlet air cooling of the gas turbine was used only at the hours 10 and 14, at which the peak of the electric power demand existed. The steam was mainly supplied by the gas turbine, and the boiler was used only if the total heat flow rate of the steam demands by the process, the steam turbine, and the absorption。
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附录AProfile : Coal is China's main energy in the country's total primary energy accounted for 76% and above. Most coal strata formed and restore the environment, coal mining in the oxidizing environment, Flow iron ore mine with water and exposed to the air, after a series of oxidation and hydrolysis, so that water acidic. formation of acidic mine water. On groundwater and other environmental facilities, and so on have a certain impact on the environment and destruction. In this paper, the acidic mine water hazards, and the formation of acid mine water in the prevention and treatment of simple exposition. Keywords : mining activities acidic mine water prevention and correction of the environmental impact of coal a foreword is China's main energy, China accounted for one-time energy above 76%, will conduct extensive mining. Mining process undermined the seam office environment, the reduction of its original environment into oxidizing environment. Coal generally contain about 0.3% ~ 5% of sulfur, mainly in the form of pyrite, sulfur coal accounts for about 2 / 3. Coal mining in the oxidizing environment, flow and iron ore mine water and exposed to the air, after a series of oxidation, hydrolysis reaction to produce sulfuric acid and iron hydroxide, acidic water showed that the production of acid mine water. PH value lower than the six said acidic mine water mine water. Acid mine water in parts of the country in the South in particular coal mine were more widely. South China coal mine water in general pH 2.5 ~ 5.8, sometimes 2.0. Low pH causes and coal of high sulfur closely related. Acid mine water to the formation of ground water have caused serious pollution, while also corrosion pipes, pumps, Underground rail, and other equipment and the concrete wall, but also serious pollution of surface water and soil, river shrimp pictures, soil compaction, crops wither and affect human health. An acidic mine water hazards mine water pH is below 6 is acidic, metal equipment for a certain corrosive; pH is less than 4 has strong corrosive influence on the safety in production and the ecological environment in mining areas serious harm. Specifically, there are the following : a "corrosive underground rail, rope and other coal transport equipment. If rail, rope by the pH value "4 acidic mine water erosion, 10 days to Jishitian its intensity will be greatly reduced, Transport can cause accidents; 2 "prospecting low pH goaf water, Quality Control iron pipes and the gate under the flow erosion corrosion soon.3 "acidic mine water SO42-content high, and cement production of certain components interact water sulfate crystallization. These salts are generated when the expansion. After determination of when SO42-generation CaSO4 • 2H2O, the volume increased by 100%; Formation MgSO4.7H2O, v olume increased 430%; Volume increases, the structure of concrete structures.4 "acidic mine water or environmental pollution. Acid mine water is discharged into rivers, the quality of pH less than 4:00, would fish died; Acidic mine water into the soil, damage granular soil structure, soil compaction, arid crop yields fall, affecting workers and peasants; Acid mine water humans can not drink that long-term exposure, people will limbs broken, eyes suffering, enter the body through the food chain. affect human health. 2 acidic mine water and the reasons are mostly coal strata formed in the reduction environment, containing pyrite (FeS2) formed in the seam-reduction environment. Coal generally contain about 0.3% ~ 5% of sulfur, mainly in the form of pyrite, sulfur coal accounts for about 2 / 3. Coal mining in the oxidizing environment, flow and iron ore mine water and exposed to the air, after a series of oxidation, hydrolysis reaction to produce sulfuric acid and iron hydroxide, acidic water showed that the production of acid mine water. Acidic mine water that is the main reason for forming the main chemical reaction as follows : a "pyrite oxidation and free sulfate ferrous sulfate : 2FeS2 O2 +7 +2 +2 H2O 2H2SO4 FeSO4 2 "ferrous sulfate in the role of oxygen free Under into sulfate : 4FeSO4 +2 Cp'2Fe2 H2SO4 + O2 (SO4) 3 +2 H2O 3 "in the mine water The oxidation of ferrous sulfate, sometimes not necessarily need to sulfate : 12FeS2 O2 +6 +3 H2O 4Fe2 (SO4) 3 +4 Fe (OH) 3 4 "mine water Sulfate is further dissolved sulfide minerals in various roles : Fe2 (SO4) 3 + MS + H2O + / 2 + O2 M SO4 H2SO FeSO4 +5 " ferric sulfate in the water occurred weak acid hydrolysis sulfate produced free : Fe2 (SO4) 3 +6 H2O two Fe (OH) 3 +3 H2SO4 6 "deep in the mine containing H2S high, the reduction of conditions, the ferrous sulfate-rich mine water can produce sulfuric acid free : 2FeSO4 +5 FeS2 H2S 2 +3 +4 S + H2O H2SO4 acidic mine water in addition to the nature and sulfur coal on the other, with the mine water discharge, confined state, ventilation conditions, seam inclination, mining depth and size, water flow channels and other geological conditions and mining methods. Mine Inflow stability, stability of acidic water; Confined poor, good air circulation, the more acidic the water, Fe3 + ion content more; Instead, the acid is weak, the more Fe2 + ion; more deep mining of coal with a sulfur content higher; The larger the area of mining, water flows through the channel longer, oxidation, hydrolysis reactions from the more full, the water more acidic strong, If not weak. 3 acidic mine water prevention and control • a three acidic mine water under the Prevention of acidic mine water formation conditions and causes from source reduction, reductions, reduced when three aspects to prevent or mitigate damage. 1 "by the source : the seizure election made use of mineral acid, being the case. The main coal-bed mineral create acid when in a mixture of coal pyrite nodules and coal with a sulfur content itself. Coal mining rate is low and residual coal pillars or floating coal lost, abandoned pyrite nodules underground goaf, in which long-term water immersion, Acidic water produced is a major source. Face to reduce the loss of float coal, theuse of positive seized election pyrite nodules, can reduce the production of acidic water substances. Intercept surface water, reduce infiltration. For example, the filling of waste, control of roof to prevent collapse fissures along the surface water immersion goaf. In Underground, particularly old or abandoned wells closed shaft, the mine water discharge appropriate antibacterial agent, kill or inhibit microbial activity, or reduce the microbial mine water quantity. By reducing microbial sulfide on the effective role and to control the generation of acid mine drainage purposes. 2 "reduced discharge : the establishment of specialized drainage system, centralized emission acidic water, and storing up on the surface, it evaporated, condensed, then to be addressed to remove pollution. 3 "to reduce emissions of acid water in time : to reduce the underground mine water in the length of stay, in a certain extent, to reduce the microbial coal oxidation of sulphides, thus helping to reduce acid mine water. Containing pyrite, sulfur, surface water leakage conditions for a good shallow seam, or have formed strong acidic water stagnant water in the old cellar, the pioneering layout to weigh the pros and arrangements, not early in the mine prospecting or mining, leaving the end of mine water treatment avoid long-term emissions acidic water. • 2 3 acidic mine water treatment in certain geological conditions, Acidic water with calcium sulfate rock or other basic mineral occurrence and the reaction decreases acidity. Neutralizer with caustic soda used for less, less sludge is generated, but the total water hardness is often high, while reducing the acidity of the water. However, an increase in the hardness, and the high cost is no longer. Currently, treatment for a neutralizer to the milk of lime, limestone for the neutralizer and limestone -- lime, microbiological method and wetlands treatment. Neutralizer milk of lime treatment method applicable to the handling of a strong acid, Inflow smaller mine water; Limestone -- lime applied to various acidic mine water. especially when acidic mine water Fe2 + ions more applicable, but also can reduce the amount of lime; microbiological method applied when the basic tenets of iron oxide bacterial oxidation than iron, bacteria from the aquatic environment intake of iron, then to form ferric hydroxide precipitation-iron in their mucus secretions, Acidic water at the low iron into high-iron precipitates out and then reuse limestone and free sulfuric acid, can reduce investment, reduce sediment. Wetlands Act also known as shallow marshes, this method is low cost and easy operation, high efficiency, specific methods not go into details here. Conclusions Most coal strata formed and restore the environment, coal mining in the oxidizing environment, Flow iron ore mine with water and exposed to the air, after a series of oxidation and hydrolysis, so that water acidic. formation of acidic mine water. On groundwater and other environmental facilities, and so on have a certain impact on the environment and destruction, Meanwhile harmful to human health caused some influence. Based on the acidic mine water cause analysis,and to take certain preventive and treatment measures, reduce acid mine water pollution in the groundwater, environmental and other facilities and the damage caused to human health effects. References : [1] Wang Chun compiled, "hydrogeology basis," Geological Press, Beijing. [2] Yuan Ming-shun, the environment and groundwater hydraulics research papers on the topic, the Yangtze River Academy of Sciences reported that 1994,3.[3], Lin Feng, Li Changhui, Tian Chunsheng, "environmental hydrogeology," Beijing, geological Press, 1990,21.附录B简介:煤炭是我国的主要能源,在我国一次性能源中占76%以上。