Research on dual-layer optimization strategy of photovoltaic-storage-hydrogen system in coal chemical industry park

Qunhai Huo, Qiran Liu, Huawei Deng, Wenyong Wang, Changli Shi and Tongzhen Wei

Renewable Energy, 2024, vol. 230, issue C

Abstract: Under the background of carbon neutrality, the traditional coal chemical industry needs to upgrade the industrial park to reduce the carbon emission in the production process. Therefore, this paper studies a method to transform the coal chemical industry park by using renewable energy to produce hydrogen, and proposes an energy management scheme coupled with renewable energy to produce hydrogen in the coal chemical industry park. Firstly, based on time of use electricity price, renewable energy generation and load, an energy management strategy aiming at maximizing daily income is proposed to obtain the optimal energy management scheme with the highest daily income. Then, based on this strategy, the annual revenue maximization optimization model considering the investment and operating costs of photovoltaic, hydrogen production, hydrogen storage and electricity storage is established, and the optimal capacity configuration of different equipment in the system is obtained. The simulation model is established on the MATLAB-YALMIP platform, and GUROBI is used to solve the optimization model. The proposed scheme can save about 76,800 tons of standard coal and reduce carbon emissions by 181,247.95 tons per year. In addition, a system that only considers photovoltaic and electricity storage coupling is also established as a comparison, and the net profit of the system under this scheme is reduced by 36.47 % compared with the proposed PV-storage-hydrogen system, which highlights the economic advantages of the proposed photovoltaic, electricity storage and green hydrogen coupling system.

Keywords: Carbon reduction in coal chemical industry; Energy management; Capacity optimization; Hydrogen production from renewable energy sources (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:230:y:2024:i:c:s0960148124008814

DOI: 10.1016/j.renene.2024.120813

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