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基于空间分析方法的我国燃煤耦合生物质发电潜力分析 被引量:6

Potential analysis of coal-biomass co-firing power generation in China based on a spatial analysis method
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摘要 燃煤耦合生物质发电可以降低燃煤电厂CO_(2)排放,减少空气污染。考虑秸秆资源能量密度较低等特点,燃煤耦合生物质发电技术的应用潜力很大程度上取决于燃煤电厂与秸秆资源在空间上的匹配程度。因此,从空间分析角度,研究燃煤耦合生物质发电潜力具有重要意义。基于高分辨率燃煤电厂与秸秆资源数据,采用空间匹配方法对燃煤耦合发电的可能潜力进行评价。结果表明,我国燃煤电厂与秸秆资源空间匹配程度较高,约89%的可收集秸秆位于燃煤电厂半径100 km以内。燃煤电厂可掺混秸秆量受秸秆可能源化利用率和电厂秸秆可掺混比例影响。秸秆可能源化利用率越高且电厂秸秆可掺混比例越高时,燃煤电厂可掺混的秸秆量越多。在秸秆高能源化利用率与30%掺混比例的情景下,1066个电厂可以在半径100 km以内找到可掺混的秸秆资源,其中约52.6%电厂可满足30%掺混比例。该情景下,电厂可消纳秸秆3.84亿t,减排CO_(2)约5.11亿t。相关结论可为我国燃煤耦合生物质发电技术支持政策以及秸秆能源化利用政策的制定提供技术支撑。 Coal-biomass co-firing power generation(CBCP)can reduce CO_(2) emissions and alleviate air pollution.Considering the low en⁃ergy 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 sig⁃nificance to study the potential of coal-fired coupled biomass power generation.The possible potential of coal-fired coupled power genera⁃tion was evaluated by spatial matching method based on high-resolution coal-fired power plants and straw resource data.The research re⁃sults show that coal-fired power plants are highly spatial matched with straw resources in China,with about 89%of the collectible straw lo⁃cated 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 cofiring 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 uti⁃lization rate of straw and 30%co-firing level,1066 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.
作者 郑丁乾 田善君 马思宁 常世彦 ZHENG Dingqian;TIAN Shanjun;MA Sining;CHANG Shiyan(Tsinghua University-University of Alberta Joint Research Center for Future Energy and Environment,Tsinghua University,Beijing100084,China;School of Information Science and Engineering,Shandong Normal University,Jinan250358,China;Institute of Energy,Environment and Economy,Tsinghua University,Beijing100084,China;Tsinghua University-China Three Gorges Corporation Joint Research Center for Climate Governance Mechanism and Green Low-carbon Transformation Strategy,Tsinghua University,Beijing100084,China;Tsinghua-Rio Tinto Joint Research Center for Resources Energy and Sustainable Development,Low Carbon Energy Laboratory,Tsinghua University,Beijing100084,China)
出处 《洁净煤技术》 CAS 北大核心 2022年第6期35-43,共9页 Clean Coal Technology
基金 国家自然科学基金资助项目(72140004 71673165)。
关键词 燃煤电厂 燃煤耦合生物质发电 秸秆 掺混比例 运输距离 生物质可能源化利用率 coal-fired power plant coal-biomass co-firing straw co-firing ratio transport distance energy utilization ratio of biomass
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  • 1田宜水,赵立欣,孙丽英,孟海波.农作物秸秆资源调查与评价方法研究[J].中国人口·资源与环境,2011,21(S1):583-586. 被引量:27
  • 2农业部办公厅关于下发《奶牛标准化规模养殖生产技术规范(试行)》的通知[J].中华人民共和国农业农村部公报,2008,0(3):36-44. 被引量:3
  • 3李小春,刘延锋,白冰,方志明.中国深部咸水含水层CO_2储存优先区域选择[J].岩石力学与工程学报,2006,25(5):963-968. 被引量:110
  • 4朱文泉,潘耀忠,张锦水.中国陆地植被净初级生产力遥感估算[J].植物生态学报,2007,31(3):413-424. 被引量:561
  • 5Dahowski R T, Dooley J J, Davidson C L, et al. A CO2 Storage Supply Curve for North America [M]. United States of America : Battelle, 2004.
  • 6陈志平,徐综本.计算复杂性理论与NPC、NP难问题的求解[M].北京:科学出版社,2001:68-71.
  • 7Egberts P, Ketppel F, Henbriks C, et al. GESTCO-DSS, A Decision Support System for Underground Carbon Dioxide Sequestration[M]. Netherlands Institue of Applied Geoseience TNO, 2003.
  • 8Egberts P, Keppel J, Wildenborg A, et al. A decision support system for underground COz sequestration [C]// Proceedings of the 6th International Conference on Greenhouse Gas Control Technologies. Kyoto, Japan: Pergamon, 2003:651 - 655.
  • 9Neele F, Hendriks C, Brandsma R, et al. DSS and Economic Evaluations, SESS-518318 D30 [R]. Utrecht, the Netherlands EU GeoCapacity, 2009.
  • 10Middleton R S, Bielicki J M. A scalable infrastructure model for carbon capture and storage: SimCCS [J]. Energy Policy, 2009, 37(3) : 1052- 1060.

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