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内蒙古自治区呼和浩特市赛罕区大学西街235号 邮编: 010021
作者机构:State Key Joint Laboratory of Environmental Simulation and Pollution Control School of Environment Beijing Normal University Beijing100875 China Strategic Planning Department China Huadian Corporation Beijing100031 China School of Geographical Sciences Hebei Normal University Shijiazhuang050024 China School of Management Science and Engineering Central University of Finance and Economics Beijing100081 China
出 版 物:《SSRN》
年 卷 期:2023年
核心收录:
摘 要:There is worldwide that renewable energy such as wind power will play an essential role in the global low-carbon energy ***, most quantifications of CO2emissions of wind power systems ignored the indirect footprints induced by supply chains. Thus, this study developed input ‒output-based (IO-based) hybrid LCA models based on China’s 2007, 2012, and 2017 economic benchmark data to quantify the economy-wide greenhouse gas (GHG) footprint of the country’s wind power sector. Moreover, key sectors that drive the footprint variation were identified, and the footprint structure was analyzed via the the production layers decomposition method. The study results confirm the decarbonization of the wind power sector in China, with a decrease in the GHG footprint from 52.27g CO2e/kWh in 2007 to 21.23 g CO2e/kWh in 2017. This 59.38% GHG footprint (more than 84%) is deriven by the electricity and heat sector. Most of the wind power’s GHG footprint (more than 84%) is derived from upstream industries, highlighting the necessity of supply chain analysis in the governance of wind power industry. © 2023, The Authors. All rights reserved.