Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

A review on modelling methods, tools and service of integrated energy systems in China

Wu, Nianyuan, Zhang, Fuzheng, Wang, Jiangjiang, Wang, Xiaonan, Wu, Jianzhong ORCID:, 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

[thumbnail of Wu_2023_Prog._Energy_5_032003.pdf] PDF - Published Version
Available under License Creative Commons Attribution.

Download (5MB)


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
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

Actions (repository staff only)

Edit Item Edit Item


Downloads per month over past year

View more statistics