• 论文
主办单位:煤炭科学研究总院有限公司、中国煤炭学会学术期刊工作委员会
基于空间分析方法的我国燃煤耦合生物质发电潜力分析
  • Title

    Potential analysis of coal-biomass co-firing power generation in China based on a spatial analysis method

  • 作者

    郑丁乾田善君马思宁常世彦

  • Author

    ZHENG Dingqian,TIAN Shanjun,MA Sining,CHANG Shiyan

  • 单位

    清华大学清华大学-阿尔伯塔大学未来能源与环境联合研究中心山东师范大学信息科学与工程学院清华大学能源环境经济研究所清华大学清华大学-中国长江三峡集团有限公司气候变化治理机制与绿色低碳转型战略联合研究中心清华大学清华-力拓资源能源与可持续发展研究中心

  • Organization
    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 Joint Research
    Center for Resources Energy and Sustainable Development,Low Carbon Energy Laboratory,Tsinghua University
  • 摘要

    燃煤耦合生物质发电可以降低燃煤电厂CO2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,1 066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CO2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。

  • Abstract

    Coal-biomass co-firing power generation(CBCP) can reduce CO2 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 CO2 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.

  • 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

  • KeyWords

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

  • 基金项目(Foundation)
    国家自然科学基金资助项目(72140004;71673165)
  • 文章目录

    0 引言

    1 研究方法和数据

       1.1 情景设置

       1.2 燃煤电厂数据处理

       1.3 秸秆资源空间降尺度

       1.4 燃煤电厂耦合生物质发电空间匹配方法

    2 分析结果

       2.1 我国秸秆资源空间分布

       2.2 我国燃煤耦合生物质发电潜力

    3 结论与建议

  • 引用格式
    郑丁乾,田善君,马思宁,等.基于空间分析方法的我国燃煤耦合生物质发电潜力分析[J].洁净煤技术,2022,28(6):35-43.
    ZHENG Dingqian,TIAN Shanjun,MA Sining,et al.Potential analysis of coal-biomass co-firing power generation in China based on a spatial analysis method[J].Clean Coal Technology,2022,28(6):35-43.
  • 相关专题
  • 图表
    •  
    •  
    • 全国1 km分辨率秸秆资源可利用量栅格数据生成

    图(4) / 表(0)

相关问题

主办单位:煤炭科学研究总院有限公司 中国煤炭学会学术期刊工作委员会

©版权所有2015 煤炭科学研究总院有限公司 地址:北京市朝阳区和平里青年沟东路煤炭大厦 邮编:100013
京ICP备05086979号-16  技术支持:云智互联