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Dynamic assessment of Energy Internet's emission reduction effect - a case study of Yanqing, Beijing

机译:能源互联网排放减排效果的动态评估 - 以北京延庆的案例研究

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摘要

The advent of the energy Internet (EI) has dramatically changed the energy model of today's world. Despite scholars have done a lot of research on energy Internet, few articles have been written to evaluate its CO2 emission reduction. In order to fill the vacancy, system dynamics (SD) is used to set up the dynamic assessment model of CO2 emission reduction of regional energy Internet. To illustrate the effectiveness of the model, we take the energy Internet in Yanqing district of Beijing as an example for simulation. The results show that the total CO2 emission reduction of this energy Internet will reach 5056.82 tons in 2019, and the emission reduction will continue to increase in the following years, the total amount of CO2 emission reduction peaked at 13384.80 tons in 2030. We conclude: (1) The CO2 emission reduction dynamic assessment model established in this paper has a strong versatility and can be applied to any built or planned energy Internet. (2) Energy Internet has a good long term effect in emission reduction. (3) The emission reduction of the supply side is the most obvious; the user side has the greatest potential for emission reduction, while the contribution of the transmission side to emissions reduction is the most stable.The innovation points of this paper mainly include: (1) we put forward and solve the dynamic assessment of carbon emission reduction on the energy Internet for the first time. (2) We establish a dynamic assessment model of CO2 emission reduction in the energy Internet based on system dynamics. (3) We quantitatively analyze the emission reduction contribution of the supply side, transmission side and user side of the energy Internet. (C) 2020 Elsevier Ltd. All rights reserved.
机译:能源互联网(EI)的出现大大改变了当今世界的能源模型。尽管学者对能源互联网进行了大量研究,但已经写了很少的文章来评估其CO2减排。为了填补空缺,系统动态(SD)用于建立区域能源互联网二氧化碳排放减排的动态评估模型。为了说明模型的有效性,我们将能源互联网互能互联网北京延庆区作为模拟示例。结果表明,2019年这一能源互联网的总二氧化碳排放减排将达到5056.82吨,减少减排将在接下来的几年中继续增加,二氧化碳排放总量在2030年达到13384.80吨。我们得出结论: (1)本文建立的CO2减排动态评估模型具有强大的多功能性,可应用于任何建造或计划的能源互联网。 (2)能源互联网在减排方面具有良好的长期效果。 (3)供应方的排放减少是最明显的;用户侧具有最大的排放减少潜力,而传输方对排放的贡献是最稳定的。本文的创新点主要包括:(1)我们提出并解决了碳排放的动态评估第一次在能源互联网上。 (2)基于系统动态,建立了能源互联网二氧化碳排放减少的动态评估模型。 (3)我们定量分析能源互联网供给侧,传输侧和用户侧的减排贡献。 (c)2020 elestvier有限公司保留所有权利。

著录项

  • 来源
    《Journal of Cleaner Production》 |2020年第1期|122663.1-122663.16|共16页
  • 作者单位

    North China Elect Power Univ Beijing Key Lab New Energy & Low Carbon Dev Beijing 102206 Peoples R China|North China Elect Power Univ Sch Econ & Management Beijing 102206 Peoples R China;

    North China Elect Power Univ Sch Econ & Management Beijing 102206 Peoples R China;

    North China Elect Power Univ Sch Econ & Management Beijing 102206 Peoples R China;

    Beijing Univ Technol Sch Econ & Management Beijing 100124 Peoples R China;

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

    Energy internet; Emissions reduction; System dynamics; Dynamic assessment;

    机译:能源互联网;减排;系统动态;动态评估;

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