Carbon Emission Intensity of Final Electricity Consumption: Assessment and Decomposition of Regional Power Grids in China from 2005 to 2020

Author:

Zhang Xiaocun1,Zhu Qiwen2,Zhang Xueqi3

Affiliation:

1. School of Civil & Environmental Engineering and Geography Science, Ningbo University, Ningbo 315211, China

2. Yangming College, Ningbo University, Ningbo 315211, China

3. School of Architecture, Xi’an University of Architecture and Technology, Xi’an 710055, China

Abstract

Electricity consumption is a crucial source of carbon emissions. Many studies have focused on the emissions relevant to electricity generation, yet it is also important to evaluate the carbon intensity of final electricity use for the emission assessment of various industries. Considering fossil fuel consumption, regional exchange, and transmission loss, this study proposed a method to assess the emission intensities of electricity generation, supply, and use. Based on statistical data, the carbon intensities of North, Northeast, East, Central, Northwest, and South China power grids were evaluated during the period from 2005 to 2020, and the driving factors including energy structure, energy intensity, clean production, supply structure, and power loss effects were discussed using Logistic Mean Divided Index (LMDI) decomposition. An overall descending trend was observed for the carbon intensity, and the national average carbon intensities of electricity generation, supply, and use were 0.599, 0.599, and 0.622 kgCO2e/kWh, respectively. The carbon intensity of South China gird was the lowest at 0.425 kgCO2e/kWh in 2020. Moreover, the energy intensity effect and clean production effect were identified as the most influential factors of carbon intensity. The proposed method and results can be helpful to assess carbon emissions relevant to final electricity use.

Funder

Zhejiang Provincial Natural Science Foundation of China

National Natural Science Foundation of China

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

Reference39 articles.

1. British Petroleum (BP) (2020). Statistical Review of World Energy, British Petroleum (BP). Available online: https://www.bp.com/content/dam/bp/business-sites/en/global/corporate/pdfs/energy-economics/statistical-review/bp-stats-review-2022-full-report.pdf.

2. State Council Information Office (SCIO) of China (2023, May 20). Energy in China’s New Era, Available online: http://english.scio.gov.cn/whitepapers/2020-12/21/content_77035604.htm.

3. Analysis of Electricity Consumption in China (1990–2016) using index decomposition and decoupling approach;Zhang;J. Clean. Prod.,2019

4. National Bureau of Statistics (2023, May 20). China Statistical Yearbook, Available online: http://www.stats.gov.cn/sj/ndsj/2022/indexeh.htm.

5. Coal use for power generation in China;Yuan;Resour. Conserv. Recycl.,2018

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