Substantial transition to clean household energy mix in rural China

被引:81
作者
Shen, Guofeng [1 ]
Xiong, Rui [1 ]
Tian, Yanlin [1 ,2 ]
Luo, Zhihan [1 ]
Jiangtulu, Bahabaike [3 ]
Meng, Wenjun [1 ]
Du, Wei [4 ]
Meng, Jing [5 ]
Chen, Yuanchen [6 ]
Xue, Bing [7 ]
Wang, Bin [3 ,8 ]
Duan, Yonghong [9 ]
Duo, Jia [10 ,11 ,12 ]
Fan, Fenggui [13 ]
Huang, Lei [14 ]
Ju, Tianzhen [15 ]
Liu, Fenggui [16 ,17 ]
Li, Shunxin [18 ]
Liu, Xianli [19 ]
Li, Yungui [20 ]
Wang, Mu [21 ]
Nan, Ying [22 ]
Pan, Bo [23 ]
Pan, Yanfang [24 ]
Wang, Lizhi [25 ]
Zeng, Eddy [26 ]
Zhan, Chao [27 ]
Chen, Yilin [28 ]
Shen, Huizhong [28 ]
Cheng, Hefa [1 ]
Tao, Shu [1 ,28 ]
机构
[1] Peking Univ, Coll Urban & Environm Sci, Beijing 100871, Peoples R China
[2] Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Atmospher Environm & Equip, Jiangsu Key Lab Atmospher Environm Monitoring & P, Nanjing 210044, Peoples R China
[3] Peking Univ, Inst Reprod & Child Hlth, Beijing 100191, Peoples R China
[4] East China Normal Univ, Sch Geog Sci, Lab Geog Informat Sci, Shanghai 200241, Peoples R China
[5] UCL, Bartlett Sch Sustainable Construct, London WC1E 7HB, England
[6] Zhejiang Univ Technol, Coll Environm, Hangzhou 310014, Peoples R China
[7] Chinese Acad Sci, Inst Appl Ecol, Shenyang 110016, Peoples R China
[8] Peking Univ, Sch Publ Hlth, Dept Epidemiol & Biostat, Beijing 100191, Peoples R China
[9] Shanxi Agr Univ, Coll Resources & Environm, Jinzhong 030801, Peoples R China
[10] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, Xinjiang Key Lab Environm Pollut & Bioremediat, Urumqi 830011, Peoples R China
[11] Chinese Acad Sci, Natl Engn Technol Res Ctr Desert Oasis Ecol Const, Xinjiang Inst Ecol AndGeog, Urumqi 830011, Peoples R China
[12] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[13] Anhui Univ, Sch Geog & Tourism, Wuhu 241000, Peoples R China
[14] Nanjing Univ, Sch Environm, Nanjing 210033, Peoples R China
[15] Northwest Normal Univ, Coll Geog & Environm Sci, Lanzhou 730070, Peoples R China
[16] Qinghai Normal Univ, Coll Geog Sci, Xining 810008, Peoples R China
[17] Acad Plateau Sci & Sustainabil, Xining 810008, Peoples R China
[18] Minnan Normal Univ, Coll Chem Chem Engn & Environm, Zhangzhou 363000, Peoples R China
[19] Hubei Polytech Univ, Sch Environm Sci & Engn, Huangshi 435003, Hubei, Peoples R China
[20] Southwest Univ Sci & Technol, Dept Environm Engn, Mianyang 621010, Sichuan, Peoples R China
[21] Tibet Agr & Anim Husb Univ, Coll Food Sci, Linzhi 860000, Peoples R China
[22] Yanbian Univ, Coll Geog & OceanSci, Yanji 133002, Peoples R China
[23] Kunming Univ Sci & Technol, Fac Environm Sci & Engn, Kunming 650500, Yunnan, Peoples R China
[24] Henan Univ, Coll Geog & Environm Sci, Kaifeng 475001, Peoples R China
[25] Hainan Univ, Coll Ecol & Environm, Haikou 570228, Hainan, Peoples R China
[26] Jinan Univ, Sch Environm, Guangzhou 510632, Peoples R China
[27] Ludong Univ, Inst Coastal Res, Yantai 264025, Peoples R China
[28] Southern Univ Sci & Technol, Coll Environm Sci & Technol, Shenzhen 518055, Peoples R China
基金
中国国家自然科学基金;
关键词
household energy mix; energy transition; clean heating; modern energy; sustainable development; AIR-POLLUTION; PERSONAL EXPOSURE; SOLID FUELS; CONSUMPTION; EMISSIONS; COOKING; ELECTRICITY; IMPACT; PM2.5; COAL;
D O I
10.1093/nsr/nwac050
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The household energy mix has significant impacts on human health and climate, as it contributes greatly to many health- and climate-relevant air pollutants. Compared to the well-established urban energy statistical system, the rural household energy statistical system is incomplete and is often associated with high biases. Via a nationwide investigation, this study revealed high contributions to energy supply from coal and biomass fuels in the rural household energy sector, while electricity comprised similar to 20%. Stacking (the use of multiple sources of energy) is significant, and the average number of energy types was 2.8 per household. Compared to 2012, the consumption of biomass and coals in 2017 decreased by 45% and 12%, respectively, while the gas consumption amount increased by 204%. Increased gas and decreased coal consumptions were mainly in cooking, while decreased biomass was in both cooking (41%) and heating (59%). The time-sharing fraction of electricity and gases (E&G) for daily cooking grew, reaching 69% in 2017, but for space heating, traditional solid fuels were still dominant, with the national average shared fraction of E&G being only 20%. The non-uniform spatial distribution and the non-linear increase in the fraction of E&G indicated challenges to achieving universal access to modern cooking energy by 2030, particularly in less-developed rural and mountainous areas. In some non-typical heating zones, the increased share of E&G for heating was significant and largely driven by income growth, but in typical heating zones, the time-sharing fraction was <5% and was not significantly increased, except in areas with policy intervention. The intervention policy not only led to dramatic increases in the clean energy fraction for heating but also accelerated the clean cooking transition. Higher income, higher education, younger age, less energy/stove stacking and smaller family size positively impacted the clean energy transition. In rural China, affordable modern energy was increasingly adopted for cooking, and clean energy carriers were also used more for space heating.
引用
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页数:15
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