首页> 外文期刊>Environmental Science & Technology >Quantifying Baseline Emission Factors of Air Pollutants in China's Regional Power Grids
【24h】

Quantifying Baseline Emission Factors of Air Pollutants in China's Regional Power Grids

机译:量化中国区域电网中空气污染物的基准排放因子

获取原文
获取原文并翻译 | 示例
       

摘要

Drawing lessons from the dean development mechanism (CDM), this paper developed a combined margin methodology to quantify baseline emission factors of air pollutants in China's regional power grids. The simple average of baseline emission factors of SO_2, NO_x, and PM_(2.5) in China's six power grids in 2010 were respectively 1.91 kg/MWh, 1.83 kg/MWh and 032 kg/MWh. Several low-efficient mitigation technologies, such as low nitrogen oxide burner (LNB), were suggested to be replaced or used together .with other technologies in order to virtually decrease the grid's emission factor.The synergies between GHG and air pollution mitigation in China's power sector was also notable. It is estimated that in 2010, that every 1% CO_2 reduction in China's power generation sector resulted in the respective coreduction of 1.1%, 0.5%, and 0.8% of SO_2, NO_x and PM_(2.5) Wind is the best technology to achieve the largest amount of coabatement in most parts of China. This methodology is recommended to be used in making comprehensive air pollution control strategies and in cobenefits analysis in future CDM approval processes.
机译:借鉴院长发展机制(CDM)的经验教训,本文开发了一种组合边际方法来量化中国区域电网中空气污染物的基准排放因子。 2010年,中国六个电网的SO_2,NO_x和PM_(2.5)基准排放因子的简单平均值分别为1.91 kg / MWh,1.83 kg / MWh和032 kg / MWh。为了降低电网的排放因子,建议将几种低效的减排技术(如低氮氧化物燃烧器(LNB))替换或一起使用,以真正降低电网的排放因子。中国电力中的温室气体减排与协同减排之间的协同作用部门也值得注意。据估计,在2010年,中国发电行业每减少1%的CO_2,其SO_2,NO_x和PM_(2.5)的分别减少1.1%,0.5%和0.8%。风能是实现这一目标的最佳技术。在中国大部分地区,打击行为最多。建议将此方法用于制定全面的空气污染控制策略,以及在未来的CDM批准流程中进行协同效益分析。

著录项

  • 来源
    《Environmental Science & Technology》 |2013年第8期|3590-3597|共8页
  • 作者单位

    Ministry of Education Key Laboratory for Earth System Modeling, and Center for Earth System Science, Tsinghua University, Beijing, China,State Key Joint Laboratory of Environment Simulation and Pollution Control (SKLESPC), and School of Environment, Tsinghua University, Beijing, China;

    Ministry of Education Key Laboratory for Earth System Modeling, and Center for Earth System Science, Tsinghua University, Beijing, China,State Key Joint Laboratory of Environment Simulation and Pollution Control (SKLESPC), and School of Environment, Tsinghua University, Beijing, China;

    Ministry of Education Key Laboratory for Earth System Modeling, and Center for Earth System Science, Tsinghua University, Beijing, China,State Key Joint Laboratory of Environment Simulation and Pollution Control (SKLESPC), and School of Environment, Tsinghua University, Beijing, China;

    Ministry of Education Key Laboratory for Earth System Modeling, and Center for Earth System Science, Tsinghua University, Beijing, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 14:02:07

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号