Wu, Nianyuan, Zhang, Fuzheng, Wang, Jiangjiang, Wang, Xiaonan, Wu, Jianzhong ORCID: https://orcid.org/0000-0001-7928-3602, Huang, Jingzhi, Tan, Jiawei, Jing, Rui, Lin, Jian, Xie, Shan and Zhao, Yingru 2023. A review on modelling methods, tools and service of integrated energy systems in China. Progress in Energy 5 (3) , 032003. 10.1088/2516-1083/acef9e |
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Abstract
An integrated energy system (IES) is responsible for aggregating various energy carriers, such as electricity, gas, heating, and cooling, with a focus on integrating these components to provide an efficient, low-carbon, and reliable energy supply. This paper aims to review the modeling methods, tools, and service modes of IES in China to evaluate opportunities for improving current practices. The models reviewed in this paper are classified as demand forecasting or energy system optimization models based on their modeling progress. Additionally, the main components involved in the IES modeling process are presented, and typical domestic tools utilized in the modeling processes are discussed. Finally, based on a review of several demonstration projects of IES, future development directions of IES are summarized as the integration of data-driven and engineering models, improvements in policies and mechanisms, the establishment of regional energy management centers, and the promotion of new energy equipment.
Item Type: | Article |
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Date Type: | Published Online |
Status: | Published |
Schools: | Engineering |
Publisher: | IOP Publishing |
ISSN: | 2516-1083 |
Date of First Compliant Deposit: | 24 October 2023 |
Date of Acceptance: | 11 August 2023 |
Last Modified: | 24 Oct 2023 14:31 |
URI: | https://orca.cardiff.ac.uk/id/eprint/163366 |
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