Guo Sen, Liu Guolei, Liu Shixuan
School of Economics and Management, North China Electric Power University, Beijing, 102206, China.
Environ Sci Pollut Res Int. 2023 Apr;30(17):51042-51060. doi: 10.1007/s11356-023-25873-1. Epub 2023 Feb 18.
Under the policy background of "joint prevention and control" of global greenhouse gas emission reduction and regional air pollutants, the power industry, as an important target industry of energy conservation and emission reduction policies, has become an effective choice to release dual pressures. In this paper, the "bottom-up" emission factor method was used to measure the emission of CO and NO from 2011 to 2019. Then, the contributions of six factors to NO emission reduction in China's power industry were identified using the Kaya identity and logarithmic mean divisia index (LMDI) decomposition methods. The research results show that (1) there is a significant synergistic emission reduction effect between CO emission reduction and NO emission reduction; (2) the factor that inhibits the growth of NO emissions reduction in the power industry is economic development factor; and (3) the main factors that promote the reduction of NO emission from the power industry are synergy effect, energy intensity, power generation intensity, and power production structure factors. Several suggestions are proposed, which are the power industry should adjust its structure, improve energy intensity, focus on applying low-nitrogen combustion technology, and improve the air pollutant emission information disclosure system to reduce NO emissions.
在全球温室气体减排与区域空气污染物“联防联控”的政策背景下,电力行业作为节能减排政策的重要目标行业,已成为释放双重压力的有效选择。本文采用“自下而上”的排放因子法来测算2011年至2019年CO和NO的排放量。然后,运用卡亚恒等式和对数平均迪氏指数(LMDI)分解法确定了六个因素对中国电力行业NO减排的贡献。研究结果表明:(1)CO减排与NO减排之间存在显著的协同减排效应;(2)抑制电力行业NO减排量增长的因素是经济发展因素;(3)促进电力行业NO减排的主要因素是协同效应、能源强度、发电强度和电力生产结构因素。提出了若干建议,即电力行业应调整结构、提高能源强度、注重应用低氮燃烧技术,并完善空气污染物排放信息披露制度以减少NO排放。