京津冀“以电代煤”替代大气污染物排放清单

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Abstract A residential coal consumption estimation model was established based on artificial neural network, an emission inventory of air pollutants from the coal-to-electricity policy, a residential coal replacement program, in Beijing-Tianjin-Hebei (BTH) region was obtained. The results showed that there had been 2.59 million households that replaced coal with electricity in the BTH region by the end of 2018, which reduced about 7.07 million tons of residential coal, and reduced the emissions of PM_2.5、NO_x、SO₂ by 28092, 7647 and 21743 tons respectively according to our model. Beijing and Tianjin had achieved more substantial effects and accounted for 62.01% and 22.82% of the total fuel source switch from coal to electricity in the BTH region. Based on the survey data, this study also established the monthly distribution coefficient of coal consumption in BTH cities, and found that the January consumption was largest, which accounted for 27%~40% of the total annual coal consumption.

Key words： coal-to-electricity artificial neural network residential coal emission inventory monthly distribution coefficient

Received: 14 September 2020

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X513

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	LI Peng
	WU Hua-cheng
	ZHOU Wei-qing
	ZHANG Zi-jian
	WANG Mei-shun
	ZHANG Ru-ting
	LIU Song-tao
	CHEN Chuan-min

Cite this article:

LI Peng,WU Hua-cheng,ZHOU Wei-qing等. Emission inventory of atmospheric pollutants replaced by “coal-to-electricity” policy in Beijing-Tianjin-Hebei region[J]. CHINA ENVIRONMENTAL SCIENCECE, 2021, 41(4): 1489-1497.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2021/V41/I4/1489

[1]	Zhang Y X, Schauer J J, Zhang Y H, et al. Characteristics of particulate carbon emissions from real-world Chinese coal combustion[J]. Environmental Science & Technology, 2008,42(14):5068-5073.
[2]	中国煤控研究项目散煤治理课题组.中国散煤综合治理调研报告2018[EB/OL]. http://coalcap.nrdc.cn/datum/info?id=79&type=22018-08-31/2020-08-03. China coal consumption cap plan and policy research project dispersed coal governance group. China dispersed coal governance report 2018[EB/OL]. http://coalcap.nrdc.cn/datum/info?id=79&type=22018-08-31/2020-08-03.
[3]	卢亚灵,周思,王建童,等.北方试点地区农村散煤治理的政策回顾与展望[J]. 环境与可持续发展, 2020,45(3):39-44. Lu Y L, Zhou S, Wang J T, et al. Review and prospect of rural bulk coal management policy in pilot cities of the North China[J]. Environment and Sustainable Development, 2020,45(3):39-44.
[4]	生态环境部.专家解读《打赢蓝天保卫战三年行动计划》[EB/OL]. http://www.gov.cn/zhengce/2018-07/06/content_5303964.htm2020-07-06/2020-08-03. Ministry of ecology and environment of the people's republic of China. Expert interpretation of "Three-year Action Plan to Win the Blue Sky Defense War"[EB/OL]. http://www.gov.cn/zhengce/2018-07/06/content_5303964.htm2020-07-06/2020-08-03.
[5]	Niu D X, Song Z Y, Xiao X L. Electric power substitution for coal in China:Status quo and SWOT analysis[J]. Renewable and Sustainable Energy Reviews, 2017,70:610-622.
[6]	王彦超,蒋春来,贺晋瑜,等.京津冀大气污染传输通道城市燃煤大气污染减排潜力[J]. 中国环境科学, 2018,38(7):2401-2405. Wang Y C, Jiang C L, He J Y, et al. Air pollutant emissions reduction potential from burning coal in cities of air pollution transmission channel in Beijing-Tianjin-Hebei area[J]. China Environmental Science, 2018,38(7):2401-2405.
[7]	Zhao N, Zhang Y X, Li B W, et al. Natural gas and electricity:Two perspective technologies of substituting coal-burning stoves for rural heating and cooking in Hebei Province of China[J]. Energy Science & Engineering, 2019,7(1):120-131.
[8]	支国瑞,杨俊超,张涛,等.我国北方农村生活燃煤情况调查、排放估算及政策启示[J]. 环境科学研究, 2015,28(8):1179-1185. Zhi G R, Yang J C, Zhang T, et al. Rural household coal use survey, emission estimation and policy implications[J]. Research of Environmental Science, 2015,28(8):1179-1185.
[9]	Cheng M M, Zhi G R, Wei T, et al. Air pollutant emission from the underestimated households' coal consumption source in China[J]. Science of the Total Environment, 2016,580:641-650.
[10]	Zhi G R, Zhang Y Y, Sun J Z, et al. Village energy survey reveals missing rural raw coal in northern China:Significance in science and policy[J]. Environmental Pollution, 2017,223:705-712.
[11]	Cai S Y, Li Q, Wang S X, et al. Pollutant emissions from residential combustion and reduction strategies estimated via a village-based emission inventory in Beijing[J]. Environmental Pollution, 2018,238:230-237.
[12]	牛宏宏,王宝庆,刘博薇,等.乌鲁木齐市散煤燃烧大气污染物排放清单及时空分布特征[J]. 环境科学研究, 2019,32(1):135-141. Niu H H, Wang B Q, Liu B W, et al. Emission inventory and temporal-spatial distribution of air pollutants from residential coal combustion in Urumqi City[J]. Research of Environmental Science, 2019,32(1):135-141.
[13]	赵文慧,姜磊,张立坤,等.北京平原区平房冬季燃煤量及污染物排放估算[J]. 中国环境科学, 2017,37(3):859-867. Zhao W H, Jiang L Zhang L K, et al. Estimation of coal consumption and related contamination emission in the plain area around Beijing during winter season[J]. China Environmental Science, 2017,37(3):859-867.
[14]	谢卧龙,张怀德,刘鑫,等.山西省农村地区燃煤采暖情况入户调查及排污量估算[J]. 环境科学研究, 2018,31(4):642-647. Xie W L, Zhang H D, Liu X, et al. Sampling survey and air pollutants emission estimation of coal combustion for heating in rural areas of Shanxi Province[J]. Research of Environmental Science, 2018,31(4):642-647.
[15]	Peng L Q, Zhang Q, Yao Z L, et al. Underreported coal in statistics:A survey-based solid fuel consumption and emission inventory for the rural residential sector in China[J]. Applied Energy, 2019,235:1169-1182.
[16]	Zhu M Y, Liu L, Yin S S, et al. County-level emission inventory for rural residential combustion and emission reduction potential by technology optimization:A case study of Henan, China[J]. Atmospheric Environment, 2020,228:117436.
[17]	Yuan P L, Duanmu L, Wang Z S. Coal consumption prediction model of space heating with feature selection for rural residences in severe cold area in China[J]. Sustainable Cities and Society, 2019,50:101643.
[18]	袁鹏丽,端木琳,王宗山.基于实测能耗数据的农宅供暖能耗影响因素分析[J]. 建筑科学, 2020,36(2):28-37. Yuan P L, Duan M L, Wang Z S. Analysis of influencing factors of heating energy consumption of rural residence based on measured energy consumption data[J]. Building Science, 2020,36(2):28-37.
[19]	郑远攀,李广阳,李晔.深度学习在图像识别中的应用研究综述[J]. 计算机工程与应用, 2019,55(12):20-36. Zheng Y P, Li G Y, Li Y. Survey of application of deep learning in image recognition[J]. Computer Engineering and Applications, 2019, 55(12):20-36.
[20]	梁荣,王洪涛,吴奎华,等.基于神经网络和ARIMA模型的冷热电短期负荷预测[J]. 电力系统及其自动化学报, 2020,32(3):52-58. Liang R, Wang H T, Wu K H, et al. Short-term forecasting of cooling, heating and power loads based on neural network and ARIMA mode[J]. Proceedings of the CSU-EPSA, 2020,32(3):52-58.
[21]	杨仲江,蔡波,刘旸.利用双隐层BP网络进行雷暴潜势预报试验——以太原为例[J]. 气象, 2013,39(3):377-382. Yang Z J, Cai B, Liu Y. Experimental research on thunderstorm forecasting with double hidden layer BP neural network:case study on Taiyuan[J]. Meteorology, 2013,39(3):377-382.
[22]	宗宸生,郑焕霞,王林山.改进粒子群优化BP神经网络粮食产量预测模型[J]. 计算机系统应用, 2018,27(12):204-209. Zong C S, Zheng H X, Wang L S. Grain yield prediction based on BP neural network optimized by improved particle swarm optimization[J]. Computer Systems and Applications, 2018,27(12):204-209.
[23]	李春.基于BP和LSTM神经网络的基因表达预测研究[D]. 太原:太原理工大学, 2019. Li C. Gene expression prediction based on BP and LSTM neural networks[D]. Taiyuan:Taiyuan university of technology, 2019.
[24]	北京市发展和改革委员会.北京市"煤改电"用户达到128万户[EB/OL]. http://fgw.beijing.gov.cn/gzdt/fgzs/gzdt/202004/t20200417_1814458.htm2018-12-14/2020-08-03. Beijing Municipal Development and Reform Commission. Beijing's "Coal to Electricity" users reached 1.28million[EB/OL]. http://fgw.beijing.gov.cn/gzdt/fgzs/gzdt/202004/t20200417_1814458.htm2018-12-14/2020-08-03.
[25]	国网天津市电力公司.中国电力报《为了天更蓝环境更美》[EB/OL]. http://www.tj.sgcc.com.cn/html/main/col37/2015-12/29/20151229103408823202890_1.html2015-12-29/2020-08-03. State Grid Tianjin Electric Power Company. China Electric Power News "For the Blue Sky and the Beautiful Environment"[EB/OL]. http://www.tj.sgcc.com.cn/html/main/col37/2015-12/29/20151229103408823202890_1.html2015-12-29/2020-08-03.
[26]	天津市人民政府.关于印发天津市居民冬季取暖工作方案的通知[EB/OL]. http://www.tj.gov.cn/zwgk/szfgb/qk/2017/23_3399/202005/t20200520_2476433.html2017-11-21/2020-08-03. Tianjin Municipal People's Government. Notice on Printing and Distributing the Work Plan for Tianjin Residents' Winter Heating[EB/OL]. http://www.tj.gov.cn/zwgk/szfgb/qk/2017/23_3399/202005/t20200520_2476433.html2017-11-21/2020-08-03.
[27]	河北省发展和改革委员会.对政协河北省第十二届委员会第二次会议第605号提案的答复[EB/OL]. http://hbdrc.hebei.gov.cn/web/web/xxgkzhzwjytadf/4028818b6a540d2b016a5895c5e7389f.htm2019-04-19/2018-08-03. Hebei provincial development and reform commission. Reply to proposal No. 605of the second meeting of the 12th Hebei provincial committee of the CPPCC[EB/OL]. http://hbdrc.hebei.gov.cn/web/web/xxgkzhzwjytadf/4028818b6a540d2b016a5895c5e7389f.htm2019-04-19/2018-08-03.
[28]	天气网.国内城市历史天气[EB/OL]. https://lishi.tianqi.com2020-08-03/2020-08-03. Tianqi Net. Historical weather in domestic cities[EB/OL]. https://lishi.tianqi.com2020-08-03/2020-08-03.
[29]	北京市统计局,国家统计局北京调查总队.北京统计年鉴2019[EB/OL]. http://nj.tjj.beijing.gov.cn/nj/main/2019-tjnj/zk/indexch.htm/2019-09-01. Beijing municipal bureau of statistics, Survey office of the national bureau of statistics in Beijing. Beijing statistical yearbook 2019[EB/OL]. http://nj.tjj.beijing.gov.cn/nj/main/2019-tjnj/zk/indexch.htm2019-09-01/2020-08-03.
[30]	天津市统计局,国家统计局天津调查总队.天津市统计年鉴2019[EB/OL]. http://stats.tj.gov.cn/nianjian/2019nj/zk/indexch.htm2019-09-01/2020-08-03. Tianjin municipal bureau of statistics, Survey office of the national bureau of statistics in Tianjin. Tianjin statistical yearbook 2019[EB/OL]. http://stats.tj.gov.cn/nianjian/2019nj/zk/indexch.htm2019-09-01/2020-08-03.
[31]	河北省人民政府.河北经济年鉴2018[EB/OL]. http://tjj.hebei.gov.cn/res/nj2018/zk/indexch.htm2018-09-01/2020-08-03. The people's government of Hebei province. Hebei economic yearbook 2018[EB/OL]. http://tjj.hebei.gov.cn/res/nj2018/zk/indexch.htm2018-09-01/2020-08-03.
[32]	中华人民共和国生态环境部.关于发布《民用煤燃烧污染综合治理技术指南(试行)》与《民用煤大气污染物排放清单编制技术指南(试行)》的公告[EB/OL]. http://www.mee.gov.cn/gkml/hbb/bgg/201610/t20161031_366528.htm2016-10-26/2020-08-03. Ministry of ecology and environment of the people's republic of China. Announcement on the issuance of "Technical Guidelines for the Comprehensive Treatment of Residential Coal Combustion Pollution (Trial)" and "Technical Guidelines for the Compilation of Residential Coal Air Pollutant Emission Inventories (Trial)"[EB/OL]. http://www.mee.gov.cn/gkml/hbb/bgg/201610/t20161031_366528.htm2016-10-26/2020-08-03.
[33]	霍沫霖,赵佳,徐朝,等.中国散烧煤消费地图及影响因素研究[J]. 中国电力, 2018,51(1):139-146. Huo M L, Zhao J, Xu C, et al. China scattered coal consumption map and influence factors[J]. China Electric Power, 2018,51(1):139-146.
[34]	国家统计局.北京市2010年第六次全国人口普查主要数据公报[EB/OL]. http://www.stats.gov.cn/tjsj/tjgb/rkpcgb/dfrkpcgb/201202/t20120228_30381.html2012-02-28/2020-08-03. National bureau of statistics. Beijing 2010sixth national census data bulletin[EB/OL]. http://www.stats.gov.cn/tjsj/tjgb/rkpcgb/dfrkpcgb/201202/t20120228_30381.html2012-02-28/2020-08-03.
[35]	河北省统计局.河北经济年鉴2012[EB/OL]. http://tjj.hebei.gov.cn/extra/col20/2012/0201.htm2012-09-01/2020-08-03. Hebei statistics bureau. Hebei economic yearbook 2012[EB/OL]. http://tjj.hebei.gov.cn/extra/col20/2012/0201.htm2012-09-01/2020-08-03.
[36]	日本全球环境战略研究所,2006年IPCC国家温室气体清单指南[EB/OL]. https://www.ipcc-nggip.iges.or.jp/public/2006gl/chinese/vol2.html2006-01-01/2020-08-03. The institute for global environmental strategies, 2006IPCC guidelines for national greenhouse gas inventories[EB/OL]. https://www.ipcc-nggip.iges.or.jp/public/2006gl/chinese/vol2.html2006-01-01/2020-08-03.
[37]	彭立群,张强,贺克斌.基于调查的中国秸秆露天焚烧污染物排放清单[J]. 环境科学研究, 2016,29(8):1109-1118. Peng L Q, Zhang Q, He K B. Emissions inventory of atmospheric pollutants from open burning of crop residues in china based on a national questionnaire[J]. Research of Environmental Science, 2016, 29(8):1109-1118.