Paper
13 May 2024 Economic operation optimization of energy system in industrial park considering the guidance of energy consumption behavior
MengMeng Jiang, Yuliang Qi, Hui Zhang, JunHao Lin, Chunjie Guo, Shanshan Wei, Hui Gao
Author Affiliations +
Proceedings Volume 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023); 131592Z (2024) https://doi.org/10.1117/12.3024524
Event: Eighth International Conference on Energy System, Electricity and Power (ESEP 2023), 2023, Wuhan, China
Abstract
Industrial park resources are diverse, with high energy coupling and a variety of energy consumption types, offering significant potential for carbon emission reduction. This paper proposes an economic optimization approach for the energy system in industrial parks, considering energy behavior guidance. Considering the economic operation needs of industrial parks, the study first constructs a integrated energy system(IES) model for a typical industrial park. Then, it establishes a Integrated demand response model incorporating price-based demand response, incentive-based demand response, and heat-sensitive demand response. Subsequently, considering equipment operation costs and different types of demand response costs, the economic operational objectives for the park are designed. The Cplex commercial solver is used to solve the model, obtaining the optimal system operation results. Finally, a case study is conducted using the energy system of an industrial park in Shandong Province, demonstrating that the proposed method effectively enhances the economic efficiency of system operation and reduces operational costs.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
MengMeng Jiang, Yuliang Qi, Hui Zhang, JunHao Lin, Chunjie Guo, Shanshan Wei, and Hui Gao "Economic operation optimization of energy system in industrial park considering the guidance of energy consumption behavior", Proc. SPIE 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023), 131592Z (13 May 2024); https://doi.org/10.1117/12.3024524
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KEYWORDS
System integration

Carbon

Power consumption

Systems modeling

Power grids

Integrated modeling

Mathematical optimization

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