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Multi-scale evaluation and multi-scenario simulation analysis of regional energy carrying capacity-Case study: China

机译:区域能源携带能力研究的多规模评估与多场景仿真分析 - 案例研究:中国

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摘要

The analysis of energy carrying capacity (ECC) is an important basis for measuring the sustainable development level of regional energy carrying systems (ECS) and the selection of regional development models. This study establishes a regional ECS structure model from four subsystems: energy resources, economic development, social development, and ecological environment. The synergistic development relationship between subsystems and the feedback relationship between key elements are analyzed. Using a system dynamics model, the catastrophe progression method and the coupling coordination model are applied to rate the ECC and the coupling coordination degree (CCD) of China's ECS from 2004 to 2018. Furthermore, the status continuation scenario (SCS), policy planning scenario (PPS), strengthen policy scenario (SPS), and policy comparison scenario (PCS) are set up to carry out the multi-scenario simulation of China's ECC, and ECC and CCD in four scenarios from 2019 to 2050 are analyzed. The results reveal that from 2004 to 2018. the socioeconomic, the energy resources, and the energy environment carrying capacities to varying degrees, and the level of China's ECC and CCD increased year by year. It entered a comparably weak carrying level in 2010 and optimized from the uncoordinated stage to the primary coordinated stage in 2008. From 2019 to 2050, the ECC will reach the platform period in 2036 under PPS, and under SPS and PCS it will reach the platform period in 2030; the ECC stages and development coordination optimization nodes are both manifested as that SPS is the earliest, PCS is second, and PPS is the latest. In the future development process, it is recommended that take PPS as the bottom line and SPS as the goal, with high carrying capacity and superior coordinated stages as the guide, and the sustainable development capacity supported by ECS should be strengthened.
机译:能量承载能力(ECC)分析是测量区域能源携带系统(ECS)可持续发展水平以及区域发展模式的选择的重要依据。本研究建立了四个子系统的区域ECS结构模型:能源资源,经济发展,社会发展和生态环境。分析了子系统之间的协同发展关系和关键元素之间的反馈关系。使用系统动力学模型,灾难性进展方法和耦合协调模型应用于从2004年至2018年的中国ECC和中国EC的耦合协调度(CCD)。此外,地位延续情景(SCS),政策规划方案(PPS),加强政策方案(SPS),以及策略比较方案(PCS)被设置为执行中国ECC的多场景仿真,分析了2019年至2050的四种情景中的ECC和CCD。结果表明,从2004年到2018年。社会经济,能源和能源环境承载能力不同程度的能力,以及中国的ECC和CCD的水平逐年增加。它在2010年进入了相对弱的载入水平,并于2008年从未计量的阶段优化到主要协调阶段。从2019年到2050年,ECC将在PPS下的2036年达到平台期,并且在SPS和PC下它将到达平台2030年期间; ECC阶段和开发协调优化节点都表现出,因为SPS是最早的,PC是秒,PPS是最新的。在未来的开发过程中,建议将PPS作为底线,SPS作为目标,具有高承载能力和卓越的协调阶段作为指导,并加强ECS支持的可持续发展能力。

著录项

  • 来源
    《The Science of the Total Environment》 |2020年第10期|139440.1-139440.17|共17页
  • 作者单位

    School of Economics and Management North China Electric Power University Beijing 102206 China Beijing Key Laboratory of New Energy and Low-Carbon Development North China Electric Power University Beijing 102206 China;

    School of Economics and Management North China Electric Power University Beijing 102206 China Beijing Key Laboratory of New Energy and Low-Carbon Development North China Electric Power University Beijing 102206 China;

    School of Control and Computer Engineering North China Electric Power University Beijing 102206 China;

    School of Economics and Management North China Electric Power University Beijing 102206 China Beijing Key Laboratory of New Energy and Low-Carbon Development North China Electric Power University Beijing 102206 China;

    School of Economics and Management North China Electric Power University Beijing 102206 China Beijing Key Laboratory of New Energy and Low-Carbon Development North China Electric Power University Beijing 102206 China;

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

    Energy carrying capacity; Multi-scenario simulation; System dynamics model; Catastrophe progression method; Coupling coordination model;

    机译:能量承载能力;多场景模拟;系统动力学模型;灾难进展方法;耦合协调模型;

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