Analysis of regional carbon emission flow considering greenpower distribution

Ziqiang  Zhang; Futai  Shen; Ce  Li; Wenbo  Zhang; Lili  Feng

doi:10.6180/jase.202408_27(8).0007

Analysis of regional carbon emission flow considering greenpower distribution

Ziqiang Zhang, Futai ShenThis email address is being protected from spambots. You need JavaScript enabled to view it., Ce Li, Wenbo Zhang, and Lili Feng

State Grid Gansu Electric Power Company, Lanzhou 730030, China

Received: June 18, 2023
Accepted: September 29, 2023
Publication Date: November 16, 2023

Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.

Download Citation: ||https://doi.org/10.6180/jase.202408_27(8).0007

Most existing carbon emission management is based on macro data statistics, representing carbon emissions generated at the production side by static carbon emissions. It is not easy to describe the transfer and apportionment of carbon emissions. This paper studies the relationship between inter-regional power flow and carbon emission flow based on the theory of carbon emission flow of power system. It simplifies the power system in the region, improves the carbon emission flow index, defines the green electricity distribution factor, establishes the regional carbon emission flow calculation method and the carbon emission flow distribution factor analyzes the correlation between the inter-regional carbon emission flow. Finally, taking a Chinese province as an example, the carbon emission flow distribution and green power distribution between provincial municipalities and outward power coupling to other provinces is calculated to verify the method’s feasibility. The calculation results clearly describe the carbon emission levels of the regional power systems and the distribution of carbon emission flow in the province and analyze the impact of different power generation structures on the distribution of regional carbon emission flow and the contribution of green power. It provides a reference basis for regional emission reduction planning and new energy site selection.

Keywords: regional carbon emission flow; simplified power system; proportional sharing; carbon emission flow

[1] H. Li, D. Liu, and D. Yao, (2021) “Analysis and Reflection on the Development of Power System Towards the Goal of Carbon Emission Peak and Carbon Neutrality" Proceedings of the CSEE 41(18): 6245–6259.
[2] X. Han, T. Li, D. Zhang, and X. Zhou, (2021) “New Issues and Key Technologies of New Power System Planning Under Double Carbon Goals" High Voltage Engineering 47(9): 3036–3046.
[3] S. Chen, Z. Wei, W. Gu, and Q. Guo, (2021) “Transformation of energy system under the goal of carbon neutrality: multi energy flow collaborative technology" Electric Power Automation Equipment/Dianli Zidonghua Shebei 41(9):
[4] Z. Zhuo, E. Du, N. Zhang, C. P. Nielsen, X. Lu, J. Xiao, J. Wu, and C. Kang, (2022) “Cost increase in the electricity supply to achieve carbon neutrality in China" Nature communications 13(1): 3172.
[5] IPCC. 2006 IPCC guidelines for national greenhouse gas inventories. Geneva: Intergovernmental Panel on Climate Change. 2006.
[6] M. Liu, J. Meng, and B. Liu, (2014) “Research progress on carbon emission accounting methods at home and abroad" Tropical Geography 34(2): 248–258.
[7] T. Zhou, K. Chongqing, Q. Xu, and Q. Chen, (2012) “Preliminary theoretical investigation on power system carbon emission flow" Automation of Electric Power Systems 36(7): 38–43.
[8] T. Zhou, K. Chongqing, Q. Xu, and Q. Chen, (2012) “Preliminary investigation on a method for carbon emission flow calculation of power system" Automation of Electric Power Systems 36(11): 44–49.
[9] C. Kang, Y. Cheng, Y. Sun, N. Zhang, J. Meng, and H. Yan, (2017) “Recursive calculation method of carbon emission flow in power systems" Automation of Electric Power Systems 41(18): 10–16.
[10] C. Coskun, (2019) “A time-varying carbon intensity approach for demand-side management strategies with respect to CO2 emission reduction in the electricity grid" International Journal of Global Warming 19(1-2): 3–23.
[11] Carbon Intensity.
[12] T. Zhou, C. Kang, Q. Xu, Q. Chen, J. Xin, and Y. Wu, (2012) “Analysis on distribution characteristics andmechanisms of carbon emission flow in electric power network" Automation of Electric Power Systems 36(15): 39–44.
[13] C. Yang, H. Sun, T. Li, H. Xie, Z. Lei, J. Song, H. Cai, J. Yang, G. Gong, and S. Ren, (2022) “Coupled Model and Node Importance Evaluation of Electric Power CyberPhysical Systems Considering Carbon Power Flow" Energies 15(21): 8223.
[14] X. Feng and J. Yang, (2016) “Improvement and enhancement of carbon emission flow theory considering power loss" Electric Power Automation Equipment 36(5): 81–86.
[15] S. Yuan and R. Ma, (2014) “A research on the allocation model of carbon emission in power system based on carbon emission flow theory" Modern Electric Power 31(6): 70–75.
[16] W. Wang, Q. Huo, H. Deng, J. Yin, and T. Wei, (2023) “Carbon responsibility allocation method based on complex structure carbon emission flow theory" Scientific Reports 13(1): 1521.
[17] X. Wang, Y. Gong, and C. Jiang, (2014) “Regional carbon emission management based on probabilistic power flow with correlated stochastic variables" IEEE Transactions on Power Systems 30(2): 1094–1103.
[18] B. Li, Y. Song, and Z. Hu, (2013) “Carbon flow tracing method for assessment of demand side carbon emissions obligation" IEEE Transactions on Sustainable Energy 4(4): 1100–1107.
[19] K. Wang, J. Zhang, B. Cai, and S. Yu, (2019) “Emission factors of fugitive methane from underground coal mines in China: Estimation and uncertainty" Applied Energy 250: 273–282.
[20] N. Wang, Z. Guo, F. Meng, H. Wang, J. Yin, and Y. Liu, (2019) “The circular economy and carbon footprint: A systematic accounting for typical coal-fuelled power industrial parks" Journal of cleaner production 229: 1262–1273.
[21] J. Li, Y. Tian, Y. Zhang, and K. Xie, (2022) “Assessing spatially multistage carbon transfer in the life cycle of energy with a novel multi-flow and multi-node model: A case of China’s coal-to-electricity chain" Journal of Cleaner Production 339: 130699.
[22] G. Wan, Z. Ren, and X. Tian, (2003) “Study on model of reliability-nerwork-equivalent of distribution system reliability evalution" Proceedings of the CSEE 23(5): 48–52.
[23] C. Kang, T. Zhou, Q. Chen, Q. Xu, Q. Xia, and Z. Ji, (2012) “Carbon emission flow in networks" Scientific reports 2(1): 479.
[24] W. Wu, Y. Zhang, h. Chen, and j. Xiao, (2004) “Discussion on the method of network loss allocation based on complex power tracing" Relay 32(12): 82–86.
[25] Z. Jing, Y. Liu, and L. Zeng, (2010) “Comparison of four power grid source flow analysis methods" Automation of Electric Power Systems (23): 42–51.
[26] C. Xie, D. Dapeng, X. Jia, and y. Chen, (2011) “Carbon emission quota allocation of China’s power industry based on emission performance" Technology Economics 30(11): 6.