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Government control or low carbon lifestyle? - Analysis and application of a novel selective-constrained energy-saving and emission-reduction dynamic evolution system

机译:政府控制还是低碳生活方式? -新型选择性约束节能减排动态演化系统的分析与应用

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摘要

This paper explores a novel selective-constrained energy-saving and emission-reduction (ESER) dynamic evolution system, analyzing the impact of cost of conserved energy (CCE), government control, low carbon lifestyle and investment in new technology of ESER on energy intensity and economic growth. Based on artificial neural network, the quantitative coefficients of the actual system are identified. Taking the real situation in China for instance, an empirical study is undertaken by adjusting the parameters of the actual system. The dynamic evolution behavior of energy intensity and economic growth in reality are observed, with the results in perfect agreement with actual situation. The research shows that the introduction of CCE into ESER system will have certain restrictive effect on energy intensity in the earlier period. However, with the further development of the actual system, carbon emissions could be better controlled and energy intensity would decline. In the long run, the impacts of CCE on economic growth are positive. Government control and low carbon lifestyle play a decisive role in controlling ESER system and declining energy intensity. But the influence of government control on economic growth should be considered at the same time and the controlling effect of low carbon lifestyle on energy intensity should be strengthened gradually, while the investment in new technology of ESER can be neglected. Two different cases of ESER are proposed after a comprehensive analysis. The relations between variables and constraint conditions in the ESER system are harmonized remarkably. A better solution to carry out ESER is put forward at last, with numerical simulations being carried out to demonstrate the results.
机译:本文探索了一种新型的选择性约束节能减排(ESER)动态演化系统,分析了保守能源成本(CCE),政府控制,低碳生活方式以及对ESER新技术的投资对能源强度的影响。和经济增长。基于人工神经网络,确定了实际系统的定量系数。以中国的实际情况为例,通过调整实际系统的参数进行了实证研究。观察了现实中能源强度和经济增长的动态演化行为,其结果与实际情况完全吻合。研究表明,在早期,将CCE引入ESER系统将对能量强度产生一定的限制作用。但是,随着实际系统的进一步发展,碳排放将得到更好的控制,能源强度将下降。从长远来看,CCE对经济增长的影响是积极的。政府控制和低碳生活方式在控制ESER系统和降低能源强度方面起着决定性作用。但是,应同时考虑政府控制对经济增长的影响,应逐步加强低碳生活方式对能源强度的控制作用,而对ESER新技术的投资可忽略不计。综合分析后,提出了两种不同的ESER案例。 ESER系统中变量与约束条件之间的关系显着协调。最后提出了一种更好的进行ESER的解决方案,并通过数值模拟验证了结果。

著录项

  • 来源
    《Energy Policy》 |2014年第5期|498-507|共10页
  • 作者单位

    Center for Energy Development and Environmental Protection, Jiangsu University, Zhenjiang, Jiangsu 212013, PR China,Department of Basic Courses, Yancheng Institute of Technology, Yancheng, Jiangsu 224051, PR China;

    Center for Energy Development and Environmental Protection, Jiangsu University, Zhenjiang, Jiangsu 212013, PR China;

    Center for Energy Development and Environmental Protection, Jiangsu University, Zhenjiang, Jiangsu 212013, PR China;

    Center for Energy Development and Environmental Protection, Jiangsu University, Zhenjiang, Jiangsu 212013, PR China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Selective-constrained energy-saving; emission-reduction; Government control; Low carbon lifestyle;

    机译:选择性约束节能;减少排放;政府控制;低碳生活方式;

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