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城市典型居民社区水能消费碳排放核算与影响评价

李阳 王春艳 刘毅 汪自书

李阳,王春艳,刘毅,等.城市典型居民社区水能消费碳排放核算与影响评价[J].环境工程技术学报,2022,12(6):1898-1904 doi: 10.12153/j.issn.1674-991X.20220426
引用本文: 李阳,王春艳,刘毅,等.城市典型居民社区水能消费碳排放核算与影响评价[J].环境工程技术学报,2022,12(6):1898-1904 doi: 10.12153/j.issn.1674-991X.20220426
LI Y,WANG C Y,LIU Y,et al.Carbon emission accounting and impact assessment of water and energy consumption at a community scale[J].Journal of Environmental Engineering Technology,2022,12(6):1898-1904 doi: 10.12153/j.issn.1674-991X.20220426
Citation: LI Y,WANG C Y,LIU Y,et al.Carbon emission accounting and impact assessment of water and energy consumption at a community scale[J].Journal of Environmental Engineering Technology,2022,12(6):1898-1904 doi: 10.12153/j.issn.1674-991X.20220426

城市典型居民社区水能消费碳排放核算与影响评价

doi: 10.12153/j.issn.1674-991X.20220426
基金项目: 国家自然科学基金项目(72004115,71974110)
详细信息
    作者简介:

    李阳(1997—),女,硕士研究生,主要从事城市系统碳排放核算研究,lysqjy@163.com

    通讯作者:

    刘毅(1975—),男,教授,主要从事环境系统分析研究,yi.liu@tsinghua.edu.cn

  • 中图分类号: X522

Carbon emission accounting and impact assessment of water and energy consumption at a community scale

  • 摘要:

    居民社区用水用能的碳排放与行为选择和技术水平有关,且随时间波动性强。通过智能监测、实地调研、问卷调查等多种方法,自下而上构建了涵盖居民社区水能消费行为和基础设施相关的碳排放核算方法并评估其影响。通过对北京市海淀区某社区的案例研究发现,该社区夏季、春秋季、冬季碳排放量分别为18.2~20.8、19.3~21.5、58.5~63.8 t/d(以二氧化碳计),不同季节周末日均碳排放量约为工作日的1.0~1.2倍,由于采暖等因素造成冬季碳排放是其他三季的3.0~3.1倍。从全年来看,社区基础设施端共排放二氧化碳6.98×103 t/a,居民消费端排放4.94×103 t/a,占比分别为58.7%和41.3%;案例社区的温室气体核算体系范围1(能源直接碳排放,即气耗)碳排放量为8.98×103 t/a,范围2(能源间接碳排放,即电耗和水耗)碳排放量为2.92×103 t/a,占比分别为75.4%和24.6%。研究结果表明,推动燃气设备等基础设施升级改造、倡导居民生活器具和行为方式节能化等途径是推动居民社区减碳和绿色低碳转型的重要手段。

     

  • 图  1  研究社区居民工作日户均分类生活用水量季节变化

    Figure  1.  Seasonal changes in residential daily water consumption classified by behaviors (weekday only)

    图  2  研究社区居民家庭户均工作日生活用水相关的能耗及碳排放量季节变化

    Figure  2.  Seasonal changes in residential daily energy consumption and carbon emission classified by behaviours (weekday only)

    图  3  研究社区基础设施端2020年9月—2022年3月逐月水能消耗与碳排放量

    Figure  3.  Monthly water and energy consumption and related carbon emission of community infrastructures from September 2020 to March 2022

    图  4  研究社区工作日碳排放量季节变化

    Figure  4.  Seasonal changes of community carbon emission on weekday

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  • 收稿日期:  2022-05-05
  • 网络出版日期:  2022-10-14

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