ZHENG Dingqian;TIAN Shanjun;MA Sining;CHANG Shiyan;Tsinghua University-University of Alberta Joint Research Center for Future Energy and Environment,Tsinghua University;School of Information Science and Engineering,Shandong Normal University;Institute of Energy,Environment and Economy,Tsinghua University;Tsinghua University-China Three Gorges Corporation Joint Research Center for Climate Governance Mechanism and Green Low-carbon Transformation Strategy,Tsinghua University;Tsinghua-Rio Tinto Join

Abstract：

Coal-biomass co-firing power generation(CBCP) can reduce CO_2 emissions and alleviate air pollution. Considering the low energy density of straw resources, the application potential of coal-fired coupled biomass power generation technology largely depends on the spatial matching between coal-fired power plants and straw resources. Therefore, from the perspective of spatial analysis, it is of great significance to study the potential of coal-fired coupled biomass power generation. The possible potential of coal-fired coupled power generation was evaluated by spatial matching method based on high-resolution coal-fired power plants and straw resource data. The research results show that coal-fired power plants are highly spatial matched with straw resources in China, with about 89% of the collectible straw located within a 100 km radius of coal-fired power plants. The amount of co-fired straw in coal-fired power plants is affected by the energy utilization ratio of straw and the co-firing level of straw in power plants. The higher the energy utilization of straw is and the higher the co-firing level in power plants is, the more straw is that can be co-firing in coal-fired power plants. Under the scenario of the high energy utilization rate of straw and 30% co-firing level, 1 066 power plants can find straw resources within a radius of 100 km, of which 52.6% of power plants can meet the 30% co-firing level. In this scenario, the power plant can absorb 384 million ton of straw and reduce CO_2 by about 511 million ton. The results can provide technical support for the formulation of technical support policies for coal-biomass co-firing power generation and straw resource utilization policies in China.

Key Words： coal-fired power plant;coal-biomass co-firing;straw;co-firing ratio;transport distance;energy utilization ratio of biomass

Abstract:

Keywords:

Foundation: 国家自然科学基金资助项目(72140004;71673165)

Authors: ZHENG Dingqian;TIAN Shanjun;MA Sining;CHANG Shiyan;Tsinghua University-University of Alberta Joint Research Center for Future Energy and Environment,Tsinghua University;School of Information Science and Engineering,Shandong Normal University;Institute of Energy,Environment and Economy,Tsinghua University;Tsinghua University-China Three Gorges Corporation Joint Research Center for Climate Governance Mechanism and Green Low-carbon Transformation Strategy,Tsinghua University;Tsinghua-Rio Tinto Join

DOI: 10.13226/j.issn.1006-6772.CC22022801

References：

• [1] 项目综合报告编写组.《中国长期低碳发展战略与转型路径研究》综合报告[J].中国人口·资源与环境，2020,30(11):1-25.
• [2] 张希良，黄晓丹，张达，等.碳中和目标下的能源经济转型路径与政策研究[J].管理世界，2022,38(1):35-66.ZHANG Xiliang,HUANG Xiaodan,ZHANG Da,et al.Research on the pathway and policies for China′s energy and economy transformation toward carbon neutrality[J].Journal of Management World,2022,38(1):35-66.
• [3] 中国电力企业联合会.2020年全国电力工业统计快报一览表[EB/OL].[2022-02-28].https://www.cec.org.cn/upload/1/editor/1611623903447.pdf.
• [4] 中国电力企业联合会.煤电机组灵活性运行与延寿运行研究[R].北京：中国电力企业联合会，2021.
• [5] 李政，陈思源，董文娟，等.现实可行且成本可负担的中国电力低碳转型路径[J].洁净煤技术，2021,27(2):1-7.LI Zheng,CHEN Siyuan,DONG Wenjuan,et al.Feasible and affordable pathways to low-carbon power transition in China [J].Clean Coal Technology,2021,27(2):1-7.
• [6] BASU P,BUTLER J,LEON M A.Biomass co-firing options on the emission reduction and electricity generation costs in coal-fired power plants[J].Renewable Energy,2011,36(1):282-288.
• [7] BAXTER L.Biomass-coal co-combustion:Opportunity for affordable renewable energy[J].Fuel,2005,84(10):1295-1302.
• [8] BERGGREN M,LJUNGGREN E,JOHNSSON F.Biomass co-fir-ing potentials for electricity generation in Poland:Matching supply and co-firing opportunities[J].Biomass and Bioenergy,2008,32(9):865-879.
• [9] 毛健雄.燃煤耦合生物质发电[J].分布式能源，2017,2(5):47-54.MAO Jianxiong.Co-firing biomass with coal for power generation[J].Distributed Energy,2017,2(5):47-54.
• [10] 国家发展改革委，国家能源局.电力发展“十三五”规划(2016-2020)[EB/OL].(2016-12-22)[2022-02-28].https://zfxxgk.ndrc.gov.cn/web/iteminfo.jsp?id=398.
• [11] JIANG Dong,ZHUANG Dafang,FU Jinying,et al.Bioenergy potential from crop residues in China:Availability and distribution[J].Renewable and Sustainable Energy Reviews,2012,16(3):1377-1382.
• [12] QIU Huanguang,SUN Laixiang,XU Xinliang,et al.Potentials ofcrop residues for commercial energy production in China:A geographic and economic analysis[J].Biomass and Bioenergy,2014,64:110-123.
• [13] ZHANG Hefeng,HU Jun,QI Yixuan,et al.Emission characterization,environmental impact,and control measure of PM2.5 emitted from agricultural crop residue burning in China[J].Journal of Cleaner Production,2017,149:629-635.
• [14] HUANG L,ZHU Y,WANG Q,et al.Assessment of the effects of straw burning bans in China:Emissions,air quality,and health impacts[J].Science of The Total Environment,2021,789:147935.
• [15] SUN Jianfeng,PENG Haiyun,CHEN Jianmin,et al.An estim-ation of CO2 emission via agricultural crop residue open field burning in China from 1996 to 2013[J].Journal of Cleaner Production,2016,112:2625-2631.
• [16] 周裕雯，廖炜鹏，杨静，等.基于MODIS火点数据分析南北方省份生物质开放式燃烧与排放特征[J].环境科学学报，2021,41(9):3696-3708.ZHOU Yuwen,LIAO Weipeng,YANG Jing,et al.Based on MODIS fire pixel location data to characterize the biomass burning and air pollutants emissions in northern and southern China[J].Acta Scientiae Circumstantiae,2021,41(9):3696-3708.
• [17] 生态环境部.2020年中国生态环境状况公报[EB/OL].(2021-05-26) [2022-02-28].https://www.mee.gov.cn/hjzl/sthjzk/zghjzkgb/.
• [18] IEA Bioenergy.Bioenergy:A sustainable and reliable energy sou-rce[R].Paris:IEA Bioenergy,2009.
• [19] 李永，陈文颖，刘嘉.二氧化碳收集与封存的源汇匹配模型[J].清华大学学报(自然科学版),2009,49(6):910-912,916.LI Yong,CHEN Wenying,LIU Jia.Source-sink matching model for CO2 capture and storage[J].Journal of Tsinghua University(Science and Technology),2009,49(6):910-912,916.
• [20] 孙亮，陈文颖.基于GAMS的CCS源汇匹配管网优化模型[J].清华大学学报(自然科学版),2013,53(1):111-116.SUN Liang,CHEN Wenying.CCS source-sink matching network optimization model based on GAMS [J].Journal of TsinghuaUniversity(Science and Technology),2013,53(1):111-116.
• [21] LI L,MANIER H,MANIER M A.Integrated optimization model for hydrogen supply chain network design and hydrogen fueling station planning[J].Computers & Chemical Engineering,2020,134:106683.
• [22] CANTúV H,AZZARO-PANTEL C,PONSICH A.A novel Ma-theuristic based on bi-level optimization for the multi-objective design of hydrogen supply chains [J].Computers & Chemical Engineering,2021,152:107370.
• [23] GARCíA-GALINDO D,JAVIER R,SEBASTIáN F.Assessment of biomass co-firing potentials in coal power plants[J].Strojarstvo,2010,52:411-427.
• [24] RONI M S,EKSIOGLU S D,SEARCY E,et al.A supply chain network design model for biomass co-firing in coal-fired power plants[J].Transportation Research Part E:Logistics and Transportation Review,2014,61:115-134.
• [25] WANG Rui,CHANG Shiyan,CUI Xueqin,et al.Retrofitting coal-fired power plants with biomass co-firing and carbon capture and storage for net zero carbon emission:A plant-by-plant assessment framework [J].GCB Bioenergy,2021,13(1):143-160.
• [26] 霍丽丽，赵立欣，孟海波，等.中国农作物秸秆综合利用潜力研究[J].农业工程学报，2019,35(13):218-224.HUO Lili,ZHAO Lixin,MENG Haibo,et al.Study on straw multi-use potential in China[J].Transactions of the Chinese Society of Agricultural Engineering,2019,35(13):218-224.
• [27] SCHAKEL W,MEERMAN H,TALAEI A,et al.Comparative lifecycle assessment of biomass co-firing plants with carbon capture and storage[J].Applied Energy,2014,131:441-467.
• [28] Global Energy Monitor.Global coal plant tracker[EB/OL].[2022-02-28].https://endcoal.org/globalcoal-plant-tracker/.
• [29] TONG Dan,ZHANG Qiang,DAVIS S J,et al.Targeted emission reductions from global super-polluting power plant units[J].Nature Sustainability,2018,1:59-68.
• [30] Global Energy Observatory,Google,KTH Royal Institute of Technology in Stockholm,Enipedia,World Resources Institute.Global power plant database[EB/OL].(2021-06-24) [2022-02-28].https://datasets.wri.org/dataset/globalpowerplantdatabase.
• [31] 生态环境部.关于公布全国燃煤机组脱硫脱硝设施等重点大气污染减排工程名单的公告[EB/OL].(2014-07-08) [2022-02-28].http://www.mee.gov.cn/gkml/hbb/bgg/201407/t20140711_278584.htm.
• [32] 中国电力企业联合会.关于公布2020年度电力行业火电机组能效水平对标结果的通知[EB/OL].(2021-05-31) [2022-02-28].https://cec.org.cn/detail/index.html 3-296876.
• [33] 中国电力企业联合会.中国电力工业统计资料汇编2019[M].北京：中国电力企业联合会，2020.
• [34] 黄其励，岳光溪，倪维斗，等.先进燃煤发电技术[M].北京：科学出版社，2014.
• [35] 中国电力企业联合会.中国电力统计年鉴2021[M].北京：中国统计出版社，2021.
• [36] 国家统计局.中国统计年鉴2021[M].北京：中国统计出版社，2022.
• [37] 陈鹏飞.北纬18°以北中国陆地生态系统逐月净初级生产力1公里栅格数据集(1985—2015)[J].全球变化数据学报，2019,3(1):34-41.CHEN Pengfei.Monthly NPP dataset covering China′s terrestri-al ecosystems at North of 18°N (1985—2015)[J].Global Change Research Data Publishing & Repository,2019,3(1):34-41.
• [38] 中国科学院资源环境科学与数据中心.2020年中国土地利用遥感监测数据[EB/OL].[2022-02-28].https://www.resdc.cn/data.aspx?DATAID=335.
• [39] 清华大学中国车用能源研究中心.中国车用能源展望.2012[M].北京：科学出版社，2012.