GAO Mingkai;YANG Pu;WU Haibin;CHENG Fangqin;YANG Fengling;

• 1:Institute of Resources and Environment Engineering
• 2:Shanxi University
• 3:State Environmental Protection Key Laboratory of Efficient Utilization Technology of Coal Waste Resources

Abstract：

A large amount of pollutants is emitted into the air in coal-fired power plants. Among them, SO_2 can cause various diseases to the human respiratory system. At the same time, it will react with rain to form acid rain during the precipitation process, which will cause serious harm to the ecological environment of our country. It is very important to control SO_2 emission. Flue Gas Desulfurization(FGD) technology is one of the important means to control SO_2 emissions in industry. The characteristics, principles, process flow and influencing factors of desulfurization efficiency of the two commonly used FGD technologies in coal-fired power plants: The circulating fluidized bed furnace desulfurization technology and the limestone-gypsum wet FGD technology were introduced. And the research status of optimization methods of FGD technology in coal-fired power plants was summarized. The methods of technology optimization include process modeling optimization, automatic control system optimization and system operating conditions optimization. In view of the complexity of FGD working conditions and the lack of overall optimization research, it is proposed that artificial intelligence technology can be applied to the optimization of the complexity of flue gas desulfurization technology. In addition, the traditional technical evaluation method focuses on the evaluation of technical and economic performance, and the impact of a large number of greenhouse gases released by FGD technology on the environment can′t be comprehensively analyzed. Under the background of national energy conservation and emission reduction, in view of the limitations of traditional technology evaluation methods, it is proposed that the method of Life Cycle Assessment(LCA) can be adopted for FGD system to realize the measurement control of carbon emissions and other harmful substances emissions during its entire life cycle, and conduct a comprehensive environmental impact assessment. The application of Life Cycle Assessment in flue gas desulfurization of coal-fired power plants is summarized. LCA combined with process simulation is put forward to quickly obtain the evaluation results of different processes and improve ability to select, optimize and make decisions on different technologies.

Key Words： coal-fired power plant;flue gas desulfurization;life cycle assessment;process simulation;carbon emission reduction

Abstract:

Keywords:

Foundation: 国家重点研发计划资助项目(2020YFB0606200);; 襄垣县固废综合利用科技攻关资助项目(2020XYSDCY-03)

Authors: GAO Mingkai;YANG Pu;WU Haibin;CHENG Fangqin;YANG Fengling;

DOI: 10.13226/j.issn.1006-6772.21101304

References：

• [1]刘恩丽，张强，陈伟堂．我国燃煤电厂超低排放常见问题与建议[J]．广东化工，2021,48(10):159-160.LIU Enli,ZHANG Qiang,CHEN Weitang.Common problems and suggestions on ultra low emission of coal-fired power plants in China[J].Guangdong Chemical Industry,2021,48(10):159-160．
• [2]王楠．电厂烟气脱硫脱硝控制系统的研究与应用[D]．西安：西安建筑科技大学，2015．
• [3]卢荣椿，苗苗，孔皓，等．260 t/h CFB锅炉烟气脱硫超低排放技术研究[J]．洁净煤技术，2020,26(S1):195-199.LU Rongchun,MIAO Miao,KONG Hao,et al.Ultra-low emission technology of flue gas desulfurization for 260 t/h CFB boilers[J].Clean Coal Technology,2020,26(S1):195-199．
• [4]高明明，洪烽，牟犇，等．循环流化床机组大气污染物排放运行优化研究[J]．中国电机工程学报，2018,38 (10):3033-3041,3154.GAO Mingming,HONG Feng,MOU Ben,et al.Study on the operation optimization of air pollutant emission in circulating fluidized bed units[J].Proceedings of the CSEE,2018,38(10):3033-3041,3154．
• [5]张建生．超临界350 MW机组CFB锅炉脱硫脱硝经济性分析[J]．热力发电，2017,46(11):114-118.ZHANG Jiansheng.Economic research on desulfurization and denitration for a supercritical 350 MW circulating fluidized bed boiler[J].Thermal Power Generation,2017,46(11):114-118．
• [6]王彦哲，周胜，姚子麟，等．中国煤电生命周期二氧化碳和大气污染物排放相互影响建模分析[J]．中国电力，2021,54(8):128-135.WANG Yanzhe,ZHOU Sheng,YAO Zilin,et al.Life cycle modeling analysis of the interaction between carbon dioxide and air pollutant emissions of coal power in China[J].Electric Power,2021,54(8):128-135．
• [7]王红．燃煤电厂烟气脱硫工艺生命周期评估[D]．杭州：浙江大学，2012．
• [8]XIN L,OU X,XU Z,et al.Life-cycle fossil energy consumption and greenhouse gas emission intensity of dominant secondary energy pathways of China in 2010[J].Energy,2013,50:15-23．
• [9]LIANG X,WANG Z,ZHOU Z,et al.Up-to-date life cycle assessment and comparison study of clean coal power generation technologies in China[J].Journal of Cleaner Production,2013,39:24-31．
• [10]蔡晋，张缦，王中伟，等．循环流化床锅炉脱硫工艺经济性分析[J]．洁净煤技术，2020,26(3):90-98.CAI Jin,ZHANG Man,WANG Zhongwei,et al.Economic analysis of desulfurization technology of circulating fluidized bed boiler[J].Clean Coal Technology,2020,26(3):90-98．
• [11]刘鸣．影响炉内喷钙脱硫效率的主要因素及控制[J]．中国环保产业，2016(8):36-38.LIU Ming.Analysis and control of main factors in affecting efficiency of spraying calcium desulfurization in boiler[J].China Environmental Protection Industry,2016(8):36-38．
• [12]池涌，岑可法，倪明江．燃煤循环流化床燃烧脱硫的模型预测[J]．工程热物理学报，1994(4):449-452.CHI Yong,CEN Kefa,NI Mingjiang.Model prediction of sulfur capture performance in coal fired CFB bollers[J].Journal of Engineering Thermophysics,1994(4):449-452．
• [13]王鹏程，邓博宇，蔡晋，等．超临界循环流化床锅炉深度调峰技术难点及控制策略[J]．中国电力，2021,54(5):206-212.WANG Pengcheng,DENG Boyu,CAI Jin,et al.Technical difficulties and related control strategies on in-depth peak regulation for supercritical circulating fluidized bed boiler[J].Electric Power,2021,54(5):206-212．
• [14]李守信，纪立国，于军玲，等．石灰石-石膏湿法烟气脱硫工艺原理[J]．华北电力大学学报，2002,29(4):91-94.LI Shouxin,JI Liguo,YU Junling,et al.A analysis of wetl im estone-gypsum FGD technique[J].Journal of North China Electric Power University,2002,29(4):91-94．
• [15]ZHOU Lei,LIU Yong,LOU Lyuyuan,et al.Improving the removal of fine particles by chemical agglomeration during the limestone-gypsum wet flue gas desulfurization process[J].Journal of Environmental Sciences,2019,80(6):37-46．
• [16]SEO S K,CHU Y S,SHIM K B.A study on the application with limestone sludge at limestone-gypsum wet flue gas desulfurization process[J].Journal of the Korean Institute of Resources Recycling,2016,25(5):44-49．
• [17]徐敬，屈一新，杨石波．石灰石/石膏湿法烟气脱硫系统物料平衡计算软件的设计与开发[J]．计算机与应用化学，2009,26(7):863-868.XU Jing,QU Yixin,YANG Shibo.The design and development of a mass balance calculation software for limestone/gypsum wet flue gas desulphurization system[J].Computers and Applied Chemistry,2009,26(7):863-868．
• [18]黄晓媛，莫建松，吴忠标．石灰石-石膏湿法烟气脱硫系统的数值模拟[J]．化学反应工程与工艺，2017,33(1):55-64.HUANG Xiaoyuan,MO Jiansong,WU Zhongbiao.Numerical simulation of limestone-gypsum wet flue gas desulfurization system[J].Chemical Reaction Engineering and Technology,2017,33(1):55-64．
• [19]史运涛，孙德辉，李正熙，等．电厂湿法烟气脱硫过程优化控制研究[J]．系统仿真学报，2007,19(22):5287-5290.SHI Yuntao,SUN Dehui,LI Zhengxi,et al.Research on optimal control of power plant wet flue gas desulphurization process[J].Journal of System Simulation,2007,19(22):5287-5290．
• [20]陈珂．富氧燃烧烟气加压脱硫脱硝过程的动力学模拟[D]．武汉：华中科技大学，2014．
• [21]洪文鹏，何慧颖，刘广林，等．基于Aspen Plus的氨法脱硫单塔系统流程模拟[J]．动力工程学报，2013,33(2):141-146.HONG Wenpeng,HE Huiying,LIU Guanglin,et al.Numerical simulation on single-tower process of ammonia desulfurization system based on aspen plus[J].Journal of Power Engineering,2013,33(2):141-146．
• [22]于荆鑫，王菁，杨凤玲，等．基于Aspen Plus的燃煤电厂烟气污染控制单元模拟[J]．过程工程学报，2019,19 (2):329-337.YU Jingxin,WANG Jing,YANG Fengling,et al.Simulation of flue gas pollution control units of coal-fired power plant based on Aspen Plus[J].The Chinese Journal of Process Engineering,2019,19(2):329-337．
• [23]林永明．大型石灰石-石膏湿法喷淋脱硫技术研究及工程应用[D]．杭州：浙江大学，2006．
• [24]楼涛，汪学军，何昆鹏，等．腐殖质的光化学降解及其对环境污染物环境行为的影响[J]．生态环境学报，2014,23(4):716-720.LOU Tao,WANG Xuejun,HE Kunpeng,,et al.Photodegradation of humic substance and its effects on the environmental pollutant behavior[J].Ecology and Environmental Sciences,2014,23(4):716-720．
• [25]乔宗良．石灰石/石膏湿法烟气脱硫系统优化技术研究[D]．南京：东南大学，2015．
• [26]曲江源，齐娜娜，关彦军，等．湿法烟气脱硫塔内传递与化学反应过程CFD模拟[J]．化工学报，2019,70(6):2117-2128.QU Jiangyuan,QI Nana,GUAN Yanjun,et al.CFD simulation of transfer and chemical reaction process in wet flue gas desulfurization tower[J].CIESC Journal,2019,70(6):2117-2128．
• [27]钟毅，高翔，王惠挺，等．基于CFD技术的湿法烟气脱硫系统性能优化[J]．中国电机工程学报，2008,28(32):18-23.ZHONG Yi,GAO Xiang,WANG Huiting,et al.Performance optimization of wet flue gas desulphurization system based on CFDtechnology[J].Proceedings of the CSEE,2008,28(32):18-23．
• [28]陈鸿伟，李树华．基于CFD技术的脱硫喷淋塔阻力特性的研究[J]．电站系统工程，2010,26(6):24-26.CHEN Hongwei,LI Shuhua.Study on resistance characteristic of wet flue gas desulphurization spraying scrubber based on CFDtechnology[J].Power Station System Engineering,2010,26(6):24-26．
• [29]卜奔，乔昭毓，刘付永，等．双面对切进口结构的湿法烟气脱硫喷淋塔内流场的数值模拟和实验研究[J]．科学技术与工程，2018,18(16):323-328.BU Ben,QIAO Zhaoyu,LIU Fuyong,et al.Numerical simulation and experimental study on the flow field in wet flue gas desulfurization spray tower with two side cut inlet structure[J].Science Technology and Engineering,2018,18(16):323-328．
• [30]陶敏，金保升，仲兆平，等．循环流化床烟气脱硫多层喷水数学模型[J]．东南大学学报（自然科学版），2010,40 (1):144-148.TAO Min,JIN Baosheng,ZHONG Zhaoping,et al.Mathematical model for multi-level humidifying of the circulating fluidized bed-flue gas desulfurization system[J].Journal of Southeast University (Natural Science Edition),2010,40(1):144-148．
• [31]NEVEUX T,MOULLEC Y L.Wet industrial flue gas desulfurization unit:Model development and validation on industrial data[J].Industrial&Engineering Chemistry Research,2011,50(12):7579-7592．
• [32]程光祥．湿法烟气脱硫自动控制系统设计探讨[J]．中国新技术新产品，2012(24):102.CHENG Guangxiang.Design of automatic control system for wet flue gas desulfurization[J].China New Technologies and Products,2012(24):102．
• [33]丁德群．火力发电厂湿法烟气脱硫自动控制系统的设计[D]．赣州：江西理工大学，2012．
• [34]王伟，郑茗友，赵文杰，等．燃煤机组烟气脱硫系统供浆控制策略研究与应用[J]．华北电力大学学报（自然科学版），2021,48(6):113-118,126.WANG Wei,ZHENG Mingyou,ZHAO Wenjie,et al.Research and application of slurry supply control strategy for WFGD system of coal-fired power plants[J].Journal of North China Electric Power University,2021,48(6):113-118,126．
• [35]肖贤．电厂湿法烟气脱硫控制系统设计[D]．西安：西安理工大学．
• [36]陈晓雷，毛国明，高峰，等．人工智能技术在脱硫智能供浆控制系统中的应用与研究[J]．节能与环保，2021(1):87-89.CHEN Xiaolei,MAO Guoming,GAO Feng,et al.Application and research of artificial intelligence technology in intelligent[J].Energy Saving and Environmental Protection,2021(1):87-89．
• [37]王艺霏．基于贝叶斯网络的脱硫烟尘协同控制集成设计系统[J]．中国电力，2017,50(9):129-134,170.WANG Yifei.The integrated design technology for simultaneous dust control and desulfurization system based on Bayes network model[J].China Electric Power,2017,50 (9):129-134,170．
• [38]边小君．石灰石/石膏湿法烟气脱硫系统的运行优化及其对锅炉的影响[D]．杭州：浙江大学，2006．
• [39]苏晓艳．火电厂石灰石-石膏湿法脱硫系统优化运行的策略改进[D]．杭州：浙江工业大学，2009．
• [40]曹建宗，刘琦，陈文通，等．典型湿法脱硫系统存在的问题及人工智能在优化运行中的应用[J]．化工进展，2020,39(S1):242-249.CAO Jianzong,LIU Qi,CHEN Wentong,et al.Problems of typical wet desulfurization system and application of artificial intelligence in optimal operation[J].Chemical Industry and Engineering Progress,2020,39(S1):242-249．
• [41]索新良，盛金贵，王大勇，等．600 MW燃煤电厂CO2排放量测算和碳减排分析[J]．锅炉技术，2019,50(6):17-21.SUO Xinliang,SHENG Jingui,WANG Dayong,et al.CO2emission calculation and carbon emission analysis of 600 MW coalfired power plant[J].Boiler Technology,2019,50(6):17-21．
• [42]吴兑，吴晟，谭浩波．现行脱硫技术存在排放温室气体的隐患[J]．环境科学与技术，2008,31(7):74-79.WU Dui,WU Sheng,TAN Haobo.Hidden issue of greenhouse gas emission in existing desulfurization technology[J].Environmental Science&Technology,2008,31(7):74-79．
• [43]赵国涛，钱国明，王盛．"双碳"目标下绿色电力低碳发展的路径分析[J]．华电技术，43(6):10.ZHAO Guotao,QIAN Guoming,WANG Sheng.Analysis on green and low-carbon development path for power industry to realize carbon peak and carbon neutrality[J].Huadian Technology,43(6):10．
• [44]李春山，谭心舜，项曙光，等．烟气脱硫过程对环境影响的生命周期评价[J]．青岛科技大学学报（自然科学版），2002,23(2):5-8.LI Chunshan,TAN Xinshun,XIANG Shuguang,et al.Assessing smoke-gas desulfurization process environmental impact using life cycle assessment method[J].Journal of Qingdao University of Science and Technology(Natural Science Edition),2002,23(2):5-8．
• [45]孙启宏，范与华．国外生命周期评价（LCA）研究综述[J]．标准科学，2000(12):24-25.SUN Qihong,FAN Yuhua.Review of life cycle assessment(LCA) abroad[J].Standard Science,2000(12):24-25．
• [46]HUNT R G,FRANKLIN W E.LCA-how it came about-personal reflections on the origin and the development of LCA in the USA[J].International Journal of Life Cycle Assessment,1996,1(1):4-7．
• [47]KORRE A,NIE Z,DURUCAN S.Life cycle modelling of fossil fuel power generation with post-combustion CO2capture[J].International Journal of Greenhouse Gas Control,2009,4 (2):289-300．
• [48]DURUCAN N S.Life cycle modelling of fossil fuel power generation with post-combustion CO2capture[J].International Journal of Greenhouse Gas Control,2010(2):289-300．
• [49]Technical Committee ISO/TC 207.Environmental managementlife cycle assessment-principles and framework:ISO 14040:2006[S].[s.l.]:European Committee for Standardisation,2006．
• [50]李娇．循环流化床锅炉燃煤技术热电厂生命周期评价[D]．大连：大连理工大学，2013．
• [51]WU X C,WU K,ZHANG Y X.Comparative life cycle assessment and economic analysis of typical flue gas cleaning processes of coal-fired power plants in China[J].Journal of Cleaner Production,2017,142:3236-3242．
• [52]庞博．基于LCA的预应力钢筋混凝土连续刚构桥的环境影响分析[D]．北京：北京交通大学．
• [53]王静，宾鸿赞．产品生命周期评价及其指标体系的建立[J]．机械设计与制造工程，2001(2):1-2.WANG Jing,BIN Hongzan.Life cycle assessment for a product and establishment of the indicator system[J].Machine Design and Manufacturing Engineering,2001(2):1-2．
• [54]FRISCHKNECHT R,JUNGBLUTH N,ALTHAUS H J,et al.The ecoinvent database:Overview and methodological framework[J].The International Journal of Life Cycle Assessment,2005,10(1):3-9．
• [55]HONG J,SHAKE D S,ROSENBAUM R K,et al.Analytical uncertainty propagation in life cycle inventory and impact assessment:Application to an automobile front panel[J].International Journal of Life Cycle Assessment,2010,15(5):499-510．
• [56]时文肖．燃煤电厂不同烟气脱硫过程的生命周期评价[D]．济南：山东大学，2016．
• [57]洪巧巧．燃煤电厂烟气脱硫脱硝除尘技术生命周期评价[D]．杭州：浙江大学，2015．
• [58]王超．电石渣水泥和石灰石水泥生命周期评价的比较研究[D]．成都：西南交通大学，2007．
• [59]SAMPATTAGUL S,KATO S,KIATSIRIROAT T,et al.Life cycle analytical tools and externalities of the flue gas desulphurization system in Thailand[J].Chiang Mai University Journal of Natural Sciences,2005,4(1):1-17．
• [60]张晓玉．燃煤电厂烟气超净排放系统生命周期评价研究[D]．济南：山东大学，2018．
• [61]邓双，杨丽，刘宇，等．石灰石-石膏湿法烟气脱硫的生命周期和可持续性分析[J]．环境工程技术学报，2015,5 (3):186-190.DENG Shuang,YANG Li,LIU Yu,et al.Life-cycle and sustainability analysis of limestone-gypsum wet flue gas desulphurization[J].Journal of Environmental Engineering Technology,2015,5(3):186-190．
• [62]于伟静．燃煤电厂SO2超低排放技术的生命周期评价[J]．电力科技与环保，2017,33(2):19-21.YU Weijing.Life cycle assessment on SO2ultra-low emission technology in the coal-fired power plant[J].Electric Power Technology and Environmental Protection,2017,33(2):19-21．
• [63]韩涛，潘卫国，王文欢，等．基于LCA的燃煤锅炉FGD超低排放对资源消耗与环境影响评价[J]．热能动力工程，2016,31(9):75-82,135-136.HAN Tao,PAN Weiguo,WANG Wenhuan,et al.Resource consumption of the ultra low emissions from a coal-fired boiler in the process of flue gas desulfurization(FGD) and evaluation of the impact on the environment based on the life cycle assessment(LCA)[J].Journal of Engineering for Thermal Energy and Power,2016,31(9):75-82,135-136．
• [64]XIAO B,SUO C,YAN X.Comparing Chinese clean coal power generation technologies with life cycle inventory[J].Energy Procedia,2011(5):2195-2200．
• [65]张莉，王俏丽，潘淑萍，等．基于燃煤烟气污染物深度处理的电厂系统生命周期评价[J]．高校化学工程学报，2016,30(3):700-708.ZHANG Li,WANG Qiaoli,PAN Shuping,et al.Life cycle assessment of power plant with coal-fired flue gas advanced treatments[J].Journal of Chemical Engineering of Chinese Universities,2016,30(3):700-708．
• [66]REUTER M A.The simulation of industrial ecosystems[J].Minerals Engineering,1998,11(10):891-918．
• [67]ALES P,JAN B,MARKE'TA S,et al.Combining process modelling and LCA to assess the environmental impacts of wastewater treatment innovations[J].Water,2021,13(9):1246．
• [68]RINNE M,ELOMAA H,PORVALI A,et al.Simulation-based life cycle assessment for hydrometallurgical recycling of mixed LIBand NiMH waste[J].Resources Conservation and Recycling,2021,170(8):105586.