Analysis of the Spatial and Temporal Differences of China’s Power Carbon Footprint

Author:

Zhao Zhen-Yu1ORCID,Yuan Shu-Guang1ORCID,Fu Yu1,Wang Ying2,Li Heng2

Affiliation:

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

2. Department of Building and Real Estate, The Hong Kong Polytechnic University, Hong Kong, China

Abstract

Thermal power generation has increased CO2 emissions, which in turn has put tremendous pressure on the environment. Therefore, analyzing the regional ecological environmental carrying capacity of thermal power carbon emissions is of great significance for countries with high thermal power capacity to guide the development of low-carbon power and industrial layout. To accurately measure the pressure of regional power production for the environment, this paper proposes the concept of renewable energy virtual carbon emission based on the carbon footprint theory. The regional power carbon footprint (PCF) depth model and the regional power carbon deficit model are constructed. Moreover, through the statistics of China’s power production, this paper calculates the depth of China’s PCF and analyzes the temporal and spatial differences of China’s PCF depth from the three aspects of regional power installation structure, power deficit, and PCF transfer. The results obtained illustrate, firstly, that China’s overall PCF continues to increase, with the depth of PCF moving eastward. Secondly, due to the imbalance of China’s PCF, there are significant temporal and spatial differences in the depth of regional PCF. Thirdly, with the rapid development of renewable energy in China, the effect of controlling the depth of regional PCF by renewable energy is rising. Besides, the transfer of PCF among different China’s regions has significant impact on the change of PCF depth of power output provinces.

Funder

Beijing Municipal Natural Science Foundation

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,General Computer Science,Signal Processing

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3