机构地区:[1]College of Urban and Environmental Sciences,Peking University,Beijing 100871,China [2]Collaborative Innovation Center of Atmospheric Environment and Equipment Technology,Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control(AEMPC),Nanjing University of Information Science and Technology,Nanjing 210044,China [3]Institute of Reproductive and Child Health,Peking University,Beijing 100191,China [4]Laboratory of Geographic Information Science,School of Geographic Sciences,East China Normal University,Shanghai 200241,China [5]The Bartlett School of Sustainable Construction,University College London,London WC1E 7HB,UK [6]College of Environment,Zhejiang University of Technology,Hangzhou 310014,China [7]Institute of Applied Ecology,Chinese Academy of Sciences,Shenyang 110016,China [8]Department of Epidemiology and Biostatistics,School of Public Health,Peking University,Beijing 100191,China [9]College of Resources and Environment,Shanxi Agricultural University,Jinzhong 030801,China [10]Xinjiang Key Laboratory of Environmental Pollution and Bioremediation,Xinjiang Institute of Ecology and Geography,Chinese Academy of Sciences,Urumqi 830011,China [11]National Engineering Technology Research Center for Desert-Oasis Ecological Construction,Xinjiang Institute of Ecology and Geography,Chinese Academy of Sciences,Urumqi 830011,China [12]University of Chinese Academy of Sciences,Beijing 100049,China [13]School of Geography and Tourism,Anhui University,Wuhu 241000,China [14]School of Environment,Nanjing University,Nanjing 210033,China [15]College of Geography and Environmental Science,Northwest Normal University,Lanzhou 730070,China [16]College of Geographical Science,Qinghai Normal University,Xining 810008,China [17]Academy of Plateau Science and Sustainability,Xining 810008,China [18]College of Chemistry,Chemical Engineering and Environment,Minnan Normal University,Zhangzhou 363000,China [19]School of Environmental Science and Engineering,Hubei Polytechnic University,Huangshi 435003,China [20]Depar
出 处:《National Science Review》2022年第7期130-144,共15页国家科学评论(英文版)
基 金:partly supported by the National Natural Science Foundation of China (41922057, 41991310,42077328 and 41830641);the Chinese Academy of Sciences(XDA23010100);the Ministry of Science and Technology of China (2019QZKK0605);the undergraduate student research training program of the Ministry of Education of China;the open fund by Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control (KHK 2104).
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∼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.
关 键 词:household energy mix energy transition clean heating modern energy sustainable development
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