A review of the carbon emission factor method’s application to power system accounting

Research Article
Open access

A review of the carbon emission factor method’s application to power system accounting

Yuchen Yang 1*
  • 1 Guangzhou University    
  • *corresponding author 2004100040@e.gzhu.edu.cn
Published on 7 November 2023 | https://doi.org/10.54254/2755-2721/26/20230813
ACE Vol.26
ISSN (Print): 2755-273X
ISSN (Online): 2755-2721
ISBN (Print): 978-1-83558-073-8
ISBN (Online): 978-1-83558-074-5

Abstract

Adopting low-carbon power technologies is a crucial step in the power sector's sustainable growth. Macro data statistics that are transformed based on primary energy consumption make up the majority of the carbon emissions statistics used in the current research. The applicability of such technologies is constrained, and they do not reveal the features of carbon emissions from the power system. The three widely used methods of carbon emission detection are listed by the review method in this paper. Additionally, a novel concept of combining carbon emission analysis and power system power flow calculation is discussed, the concept of power system carbon emission flow is proposed, the significance of power system carbon emission research is highlighted by combining specific data, and finally the application field and research direction of power system carbon emission are discussed. The carbon emission data released by the International Energy Agency in 2023, due to the impact of the new crown epidemic, the carbon emission in 2020 will be reduced, but it will rebound to the pre-epidemic level in 2021.

Keywords:

carbon emission monitoring, tributary carbon flow, tributary carbon flow rate, node carbon potential, electricity-carbon coupling

Yang,Y. (2023). A review of the carbon emission factor method’s application to power system accounting. Applied and Computational Engineering,26,120-125.
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References

[1]. Qixin CHEN, Chongqing KANG, Qing XIA, et al. Key low carbon factors in the evolution of power decarbonization and their impacts on generation expansion planning[J]. Automation of Electric Power Systems, 2009, 33(15): 18-23.

[2]. IPCC. Intergovernmental panel for climate change: fourth assessment report[R]. Cambridge, UK: Cambridge University, 2007.

[3]. Hong-Shuo YAN, Xian-Chun TAN, An ZENG, Ling-Si KONG,Advances in Climate Change Research Volume 14, Issue 1, February 2023, Pages 23-31.

[4]. Yiqing Wang. (2015). Application of IPCC emission factor method in fishery carbon emission reduction assessment. Modern Agricultural Science and Technology (20),165-166+182.

[5]. Ping ping WANG, Yongchun ZHAO, Junying ZHANG, et al. Research progress on carbon measurement methods for coal-fired power plants under the dual carbon goal[J]. Clean Coal Technology, 2022, 28(10):170-183.DOI:10.13226/j.issn.1006-6772.HK22090601.

[6]. Carbon flows: the emissions omitted-the usual figures ignorethe role of trade in the world’s carbon economy [EB/OL]. [2011-04-28]. http://www. economist.com/node/18618451.

[7]. ATKINSON G, HAMILTON K, RUTA G, et al. Trade invirtual carbon: empirical results and implications for policy[J]. Global Environmental Change, 2011, 21: 563-574.

[8]. Tianrui ZHOU, Chongqing KANG, Qianyao XU, Qixin CHEN. Preliminary study on carbon emission flow analysis theory of power system[J]. Automation of Electric Power Systems, 2012, 36(07): 38-43+85.

[9]. International energy agency [C], CO2 Emissions in 2022,2023 https://www.iea.org/reports/-co2-emissions-in-2022.

Cite this article

Yang,Y. (2023). A review of the carbon emission factor method’s application to power system accounting. Applied and Computational Engineering,26,120-125.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 2023 International Conference on Functional Materials and Civil Engineering

ISBN：978-1-83558-073-8(Print) / 978-1-83558-074-5(Online)
Editor：Bhupesh Kumar
Conference website: https://www.conffmce.org/
Conference date: 26 August 2023
Series: Applied and Computational Engineering
Volume number: Vol.26
ISSN：2755-2721(Print) / 2755-273X(Online)

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References

[1]. Qixin CHEN, Chongqing KANG, Qing XIA, et al. Key low carbon factors in the evolution of power decarbonization and their impacts on generation expansion planning[J]. Automation of Electric Power Systems, 2009, 33(15): 18-23.

[2]. IPCC. Intergovernmental panel for climate change: fourth assessment report[R]. Cambridge, UK: Cambridge University, 2007.

[3]. Hong-Shuo YAN, Xian-Chun TAN, An ZENG, Ling-Si KONG,Advances in Climate Change Research Volume 14, Issue 1, February 2023, Pages 23-31.

[4]. Yiqing Wang. (2015). Application of IPCC emission factor method in fishery carbon emission reduction assessment. Modern Agricultural Science and Technology (20),165-166+182.

[5]. Ping ping WANG, Yongchun ZHAO, Junying ZHANG, et al. Research progress on carbon measurement methods for coal-fired power plants under the dual carbon goal[J]. Clean Coal Technology, 2022, 28(10):170-183.DOI:10.13226/j.issn.1006-6772.HK22090601.

[6]. Carbon flows: the emissions omitted-the usual figures ignorethe role of trade in the world’s carbon economy [EB/OL]. [2011-04-28]. http://www. economist.com/node/18618451.

[7]. ATKINSON G, HAMILTON K, RUTA G, et al. Trade invirtual carbon: empirical results and implications for policy[J]. Global Environmental Change, 2011, 21: 563-574.

[8]. Tianrui ZHOU, Chongqing KANG, Qianyao XU, Qixin CHEN. Preliminary study on carbon emission flow analysis theory of power system[J]. Automation of Electric Power Systems, 2012, 36(07): 38-43+85.

[9]. International energy agency [C], CO2 Emissions in 2022,2023 https://www.iea.org/reports/-co2-emissions-in-2022.

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