
Analysis of carbon reduction potential based on carbon flow theory
- 1 Chongqing University
* Author to whom correspondence should be addressed.
Abstract
As the severity of global climate change and energy crises continues to escalate, reducing carbon emissions and transitioning to a low-carbon power system have become shared objectives within the international community. To thoroughly understand the effectiveness and complexity of emission reduction strategies within the power sector, this paper delves into the carbon reduction potential of power systems, covering three key areas: generation, transmission, and consumption. It explores how systemic improvements in these sectors can drive large-scale low-carbon transformations of power networks, and elucidates the carbon reduction strategies and potentials of each sector. This paper examines and analyzes significant data and scholarly research from the power industry, as well as relevant policies, to measure the impact of various technological and policy approaches on carbon emission reduction. It also compares differences and synergies between different studies. The research findings indicate that the cornerstone for achieving a low-carbon power system lies in systematically promoting the low-carbon transformation across three dimensions based on carbon flow theory: power generation, electrical grid distribution, and consumer-side practices. In terms of power generation, integrating clean energies like wind and solar, coupled with improvements in low-carbon generation technologies, can significantly reduce carbon emissions. For the electrical grid, carbon reduction is mainly achieved through optimizing grid infrastructure, including minimizing transmission and distribution losses and SF6 emissions, as well as promoting distributed grids and storage technologies to enhance system flexibility. On the consumer side, optimizing industries with high carbon emissions, advancing the integration of electric vehicles with Vehicle-to-Grid (V2G) systems, and implementing low-carbon demand response is crucial for carbon reduction. Furthermore, policy support, incentive measures, and technological innovation are extremely vital in enhancing the effectiveness of these measures.
Keywords
Power system, low carbon, carbon reduction potential analysis, low carbon demand side response.
[1]. Hannah Ritchie and Max Roser (2020) - "CO2 emissions" Published online at OurWorldInData.org. Retrieved from: 'https:/ /ourworldindata.org/CO2-emissions' [Online Resource]
[2]. IPCC. IPCC 2006 guidelines for national greenhouse gas inventories [R/OL]. 2006 [2023-08-17]. https://www.ipcc.ch/report/2006-ipcc-guidelines-for-national-greenhouse-gas-inventories/
[3]. Wang, Yanzhe, Zhou, Sheng, Yao, Zilin & Au, Xunmin. (2021). Modeling analysis of life cycle CO2 and air pollutant emission interactions of coal power generation in China. China Electric Power (08), 128-135.
[4]. Song Q B, Wang Z S ,Li J H, et al. Comparative life cycle GHG emissions from local power generation using heavy oil natural gas, and MSW incineration in Macau[J]. Renewable and Sustainable Energy Reviews, 2018,81:2450-2459
[5]. Liu, Rui, Xiang Zhai and Veronica Chua. “Carbon Emission Calculation of Thermal Power Plant - An Overview.” Advanced Materials Research 962-965 (2014): 1368 - 1372.
[6]. Jing Li. (2023). Research on the current status and trend of the development of low-carbon transition technology of coal power. Coal Economic Research (06), 28-34. doi:10.13202/j.cnki.cer.2023.06.016.
[7]. Luo Shuiyuan, (2021). Shanghai uses a virtual power plant for the first time to realize "intelligent carbon reduction" The virtual power plant power generation capacity has reached 1 million kilowatts. Xinmin Evening News
[8]. Masoumeh Amirifard, Ronald A. Sinton, Sarah Kurtz, How demand-side management can shape electricity generation capacity planning, Utilities Policy, Volume 88, 2024, 101748, ISSN 0957-1787, https://doi.org/10.1016/j.jup.2024.101748.
[9]. Dmitrii Bogdanov, Christian Breyer, Role of smart charging of electric vehicles and vehicle-to-grid in integrated renewables-based energy systems on a country level, Energy, 2024, 131635, ISSN 0360-5442, https://doi.org/10.1016/j.energy.2024.131635.
[10]. Yaowang Li, Xuxin Yang, Ershun Du, et al, A review on carbon emission accounting approaches for the electricity power industry, Applied Energy, Volume 359, 2024, 122681, ISSN 0306-2619, https://doi.org/10.1016/j.apenergy.2024.122681.
[11]. Bolin Yu, Debin Fang, Kun Xiao, Yuling Pan, Drivers of renewable energy penetration and its role in power sector's deep decarbonization towards carbon peak, Renewable and Sustainable Energy Reviews, Volume 178, 2023, 113247, ISSN 1364-0321, https://doi.org/10.1016/j.rser.2023.113247.
Cite this article
Wang,Z. (2024). Analysis of carbon reduction potential based on carbon flow theory. Applied and Computational Engineering,93,134-140.
Data availability
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