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Analysis of energy-related CO2 emissions and driving factors in five major energy consumption sectors in China

机译:中国五个主要能源消费领域与能源有关的CO2排放和驱动因素分析

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摘要

Continual growth of energy-related CO2 emissions in China has received great attention, both domestically and internationally. In this paper, we evaluated the CO2 emissions in five major energy consumption sectors which were evaluated from 1991 to 2012. In order to analyze the driving factors of CO2 emission change in different sectors, the Kaya identity was extended by adding several variables based on specific industrial characteristics and a decomposition analysis model was established according to the LMDI method. The results demonstrated that economic factor was the leading force explaining emission increase in each sector while energy intensity and sector contribution were major contributors to emission mitigation. Meanwhile, CO2 emission intensity had no significant influence on CO2 emission in the short term, and energy consumption structure had a small but growing negative impact on the increase of CO2 emissions. In addition, the future CO2 emissions of industry from 2013 to 2020 under three scenarios were estimated, and the reduction potential of CO2 emissions in industry are 335 Mt in 2020 under lower-emission scenario while the CO2 emission difference between higher-emission scenario and lower-emission scenario is nearly 725 Mt. This paper can offer complementary perspectives on determinants of energy-related CO2 emission change in different sectors and help to formulate mitigation strategies for CO2 emissions.
机译:在国内和国际上,中国与能源有关的二氧化碳排放量的持续增长受到了高度关注。在本文中,我们评估了从1991年到2012年评估的五个主要能源消耗部门的CO2排放量。为了分析不同部门中CO2排放量变化的驱动因素,对Kaya身份进行了扩展,并根据具体情况添加了一些变量。工业特性,并根据LMDI方法建立分解分析模型。结果表明,经济因素是解释每个部门排放量增加的主导力量,而能源强度和部门贡献是减少排放量的主要因素。同时,CO2的排放强度在短期内对CO2的排放没有显着影响,而能源消耗结构对CO2的排放增加的影响较小,但正在逐渐增加。此外,估计了三种情景下2013年至2020年工业未来的CO2排放量,低排放情景下2020年工业的CO2减排潜力为335 Mt,而高排放情景与低排放情景下的CO2排放差异排放情景接近725吨。本文可以为不同部门中与能源相关的CO2排放变化的决定因素提供补充的观点,并有助于制定缓解CO2排放的策略。

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