Issue |
E3S Web Conf.
Volume 580, 2024
2024 2nd International Conference on Clean Energy and Low Carbon Technologies (CELCT 2024)
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|
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Article Number | 01005 | |
Number of page(s) | 4 | |
Section | Energy System Modeling and Ecological Resource Management | |
DOI | https://doi.org/10.1051/e3sconf/202458001005 | |
Published online | 23 October 2024 |
Demand and Forecast Analysis of Power New Energy under the Background of Carbon Peak Reachin
1 Power Dispatching and Control Center of Guangdong Power Grid Co., Ltd., Guangzhou 510600, Guangdong, China
2 Beijing TsIntergy Technology Co., Ltd., Beijing 100080, China
* Corresponding author: zhongxr@tsintergy.com
Electric power resources is directly related to the national development and social people’s livelihood of the energy industry, is to support the future economic transformation and improve the residents living standards of rigid demand, however, the power industry is the highest carbon dioxide emissions in China, the power industry accounts for the energy industry of carbon dioxide emissions more than 40%. Under the background of the increasing demand for power resources in the current social development, the carbon dioxide emissions of the power industry are directly related to whether China can achieve the goal of reaching the national carbon emission peak by 2030. The article will summarize the driving factors of carbon emission reduction in the power industry through scenario analysis, combining the social electricity demand, power structure adjustment and the coal consumption of power generation standards, and improve the new energy generation technologies such as offshore wind power and hydropower to achieve the carbon emission of the power industry to reach the carbon peak standard. The article mainly achieves carbon emission reduction in the power industry through offshore wind power and distributed photovoltaic technologies, optimizes the power supply structure, and achieves the carbon peak target by 2030.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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