...
首页> 外文期刊>Journal of Cleaner Production >Energy-related CO_2 emission peaking target and pathways for China's city: A case study of Baoding City
【24h】

Energy-related CO_2 emission peaking target and pathways for China's city: A case study of Baoding City

机译:中国城市能源相关的CO_2排放峰值目标和途径:保定城市的案例研究

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

The prediction of CO2 emissions peak and its time for Baoding, which is one of the first pilot cities of "China's low-carbon city development project", is important for other cities to formulate low-carbon policies. This study first analyzes the main influencing factors of Baoding's emissions, and then predicts its CO2 emissions peak and its time under different scenarios. Results show that (1) CO2 emissions from industrial production account for more than 80% of the total emissions, and those from six energy consuming industries account for more than 40% of the total emissions in the city. (2) Economic growth has significantly contributed to the growth of CO2 emissions, whereas industrial structure and population growth have little contributions; energy intensity is the main negative factor for emissions growth, whereas the inhibiting effect of energy structure is not evident. (3)Based on the back propagation (BP) model, the city's CO2 emissions peak will be 59.74 million tons in 2024 under the low-speed and low carbon scenario; under the moderate-speed and benchmark scenario, it will continue to grow and reach 63.06 million tons in 2040; under high-speed and high-carbon scenario, the city's CO2 emissions will reach 80.18 million tons in 2040. This study provides a reference and experience for other cities in developing strategies to achieve the carbon emission peak, which has important practical significance for China to achieve peak carbon emissions as soon as possible. (C) 2019 Elsevier Ltd. All rights reserved.
机译:对二氧化碳排放峰的预测及其保定时间是“中国低碳城市发展项目”的第一个试点城市之一,对其他城市具有制定低碳政策的重要性。本研究首先分析了保定排放的主要影响因素,然后预测其二氧化碳排放峰值及其在不同情景下的时间。结果表明,(1)工业生产的二氧化碳排放量占总排放总量的80%以上,占城市总排放量的40%以上。 (2)经济增长显着促成了二氧化碳排放的增长,而产业结构和人口增长几乎没有贡献;能量强度是排放增长的主要负因子,而能量结构的抑制作用并不明显。 (3)基于背部传播(BP)模型,城市的二氧化碳排放峰值在低速和低碳情景下2024年的597.4万吨;在中等速度和基准场景下,它将在2040年继续增长并达到6306万吨;在高速和高碳情景下,这座城市的二氧化碳排放将于2040年达到8018万吨。本研究为其他城市制定战略提供了碳排放峰的策略,为中国具有重要的现实意义,为其他城市提供了参考和经验尽快实现峰值碳排放量。 (c)2019 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Journal of Cleaner Production》 |2019年第jul20期|471-481|共11页
  • 作者单位

    Shandong Inst Business & Technol Sch Business Adm Synergy Innovat Ctr Energy Econ Shandong Yantai 264005 Shandong Peoples R China;

    Shandong Inst Business & Technol Coal Econ Res Inst Synergy Innovat Ctr Energy Econ Shandong Yantai 264005 Shandong Peoples R China;

    Shandong Inst Business & Technol Coal Econ Res Inst Synergy Innovat Ctr Energy Econ Shandong Yantai 264005 Shandong Peoples R China;

    Shandong Inst Business & Technol Coal Econ Res Inst Synergy Innovat Ctr Energy Econ Shandong Yantai 264005 Shandong Peoples R China;

    Shandong Inst Business & Technol Coal Econ Res Inst Synergy Innovat Ctr Energy Econ Shandong Yantai 264005 Shandong Peoples R China;

    Hunan Normal Univ Sch Math & Stat Minist Educ China Key Lab Comp & Stochast Math Changsha 410081 Hunan Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Carbon emission peak; Total amount control; Scenario prediction; Baoding city;

    机译:炭发射峰;总量控制;情景预测;保定城市;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号