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中国 1997-2040 年发电 CO2 排放:能源转型和火力发电效率的作用。

CO emissions from electricity generation in China during 1997-2040: The roles of energy transition and thermal power generation efficiency.

机构信息

College of Finance, Tianjin University of Finance and Economics, 300222 Tianjin, China; Laboratory for Fintech and Risk Management, Tianjin University of Finance and Economics, Tianjin 300222, China.

College of Management and Economics, Tianjin University, 300072 Tianjin, China.

出版信息

Sci Total Environ. 2021 Jun 15;773:145026. doi: 10.1016/j.scitotenv.2021.145026. Epub 2021 Feb 3.

Abstract

CO emissions from electricity generation (CEE) in China increased from 935 Mt to 3511 Mt during the period 1997-2017, ignoring a slight decline from 2013 to 2015. To identify what resulted in this pattern and how to peak China's CEE in the future, this study first quantitatively evaluated the drivers of CEE. Then, considering both the energy transition and thermal power generation efficiency (TPGE) could make sense in CEE reduction, based on historical data from China's 30 provinces during 1997-2017, we established twelve scenarios, which were hybrids of four electricity mix scenarios (refer to International Energy Agency (IEA) and China National Renewable Energy Centre (CNRE)) and three TPGE scenarios (business-as-usual (BAU), median scenario, and best-available-technology (BAT)), to explore the impacts of energy transition and regional convergence in TPGE on CEE until 2040. The BAU scenario assumes the TPGE in all provinces develops as historical trends, while the median scenario and BAT scenario represent a form of weak and strong regional convergence in TPGE across provinces, respectively. The decomposition results showed that TPGE was a dominator in emissions reduction, followed by the share of renewables in electricity generation. The scenario analysis indicated that when the electricity mix changes with IEA's Current Policies scenario, the decline in CEE will be not persistent after 2017 unless a strong regional convergence in TPGE occurs. Moreover, under BAT scenario, with any case of electricity mix the CEE in 2040 is 31-54% lower than that under BAU scenario. The results also showed that more ambitious targets for developing low-carbon technologies could help the rapid decarbonization of China's electricity sector.

摘要

中国发电(CEE)的二氧化碳排放量从 1997 年到 2017 年从 935 百万吨增加到 3511 百万吨,忽略了 2013 年至 2015 年的略有下降。为了确定导致这种模式的原因以及未来如何使中国的 CEE 达到峰值,本研究首先定量评估了 CEE 的驱动因素。然后,考虑到能源转型和火力发电效率(TPGE)在 CEE 减排方面都有意义,根据中国 1997-2017 年 30 个省份的历史数据,我们建立了十二个情景,这些情景是四个电力组合情景(参考国际能源署(IEA)和中国国家可再生能源中心(CNRE))和三个 TPGE 情景(现状、中位数情景和最佳可用技术(BAT))的混合体,以探讨能源转型和 TPGE 区域趋同对 2040 年之前 CEE 的影响。现状情景假设所有省份的 TPGE 都按照历史趋势发展,而中位数情景和 BAT 情景分别代表了 TPGE 在各省的弱和强区域趋同的形式。分解结果表明,TPGE 是减排的主导因素,其次是可再生能源在发电中的份额。情景分析表明,当电力组合随着 IEA 的现行政策情景发生变化时,除非 TPGE 在各省出现强烈的区域趋同,否则 CEE 的下降将不会持续到 2017 年之后。此外,在 BAT 情景下,无论采用哪种电力组合,2040 年的 CEE 都将比 BAU 情景低 31-54%。结果还表明,制定更具雄心的低碳技术发展目标可以帮助中国电力部门快速脱碳。

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