工业行业降碳减污协同效应与管理方法
The synergistic effect and governance methods of industrial pollution reduction and carbon abatement
DOI:
中文关键词:  协同效应  降碳减污  共生效益  冲突关系  环境治理
英文关键词:synergistic effect  carbon abatement and pollution reduction  co-benefits  trade-off  environmental governance
基金项目:国家自然科学基金委专项项目“重点行业碳达峰、碳中和路径优化及应用研究”(72140008),上海同济高廷耀环保科技发展基金会青年博士生杰出人才项目
作者单位邮编
温宗国* 清华大学 100084
许毛 清华大学 
张蓝心 清华大学 
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中文摘要:
      二氧化碳(CO2)与多污染物减排的协同效应及路径管理方法,是国际上应对气候变化和改善生态环境质量的关键科学问题。以工业为代表的重点行业作为CO2和污染物的主要来源,其降碳减污协同增效受到广泛关注。然而,由于工业行业降碳减污的工艺技术复杂、排放协同机理不明、参数不确定性大、管理目标数量多等难题,“协同效应”的科学认识不足。本文首先归纳总结了行业降碳减污“协同效应”的科学内涵,其既包括正向的“共生效益”,也包括负向的“冲突关系”,为降碳减污协同增效管理提供理论基础。其次,系统剖析了降碳减污协同效应的内在机理及数值化表征方法,探讨了高维多目标优化方法在支撑降碳减污管理决策方面的适用性和科学性,最后提出了未来行业降碳减污研究需关注的重点科学问题,以期为我国降碳减污相关政策的制定提供参考依据。
英文摘要:
      Carbon dioxide (CO2) and multi-pollutant emission reduction synergy and path management methods are the key scientific issues in the international response to climate change and improvement of ecological environment quality management. Key sectors, such as industrial and power sectors, are the main sources of CO2 and pollutants, and their synergistic effects of carbon reduction and pollution reduction have received widespread attention. However, the scientific understanding of "synergistic effects" is insufficient due to complex technological processes for industry carbon reduction and pollution reduction, unclear emission synergy mechanisms, large parameter uncertainty, and multi environmental management targets. The scientific connotation of the "synergistic effect" of industry carbon reduction and pollution reduction is first summarized in this study, which includes both positive "symbiotic benefits" and negative "conflict relationships", providing a theoretical basis for the synergistic management of CO2 reduction and pollution reduction. Secondly, the inherent mechanism and numerical characterization methods of the synergistic effect of CO2 reduction and pollution reduction have been systematically analyzed. The applicability and scientificity of high-dimensional multi-objective optimization methods in supporting carbon reduction and pollution reduction management decisions have been explored. Finally, key scientific issues that need to be paid attention to in future industry CO2 reduction and pollution reduction research have been proposed, in order to provide reference basis for the formulation of CO2 reduction and pollution reduction related policies in China.
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