Negative carbon optimal scheduling of integrated energy system using a non-dominant sorting genetic algorithm

Liu S.; Song L.; Wang T.Dai B.Wang Z.Hao Y.

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Negative carbon optimal scheduling of integrated energy system using a non-dominant sorting genetic algorithm

机译：Negative carbon optimal scheduling of integrated energy system using a non-dominant sorting genetic algorithm

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? 2023 Elsevier LtdAn integrated energy system, as a system where multiple energy sources coexist, is important for achieving energy conservation and emission reduction and upgrading the energy structure. In this study, a regional integrated energy system capable of absorbing CO2 emissions is proposed. The system can absorb 38.24 of the CO2 generated in the system by using the alkaline solution produced by electrolysis of water for hydrogen production. At the same time, the system can recover the waste heat generated by electrolysis of water and fuel cells, which can meet 42.42 of the heat demand. In order to better achieve efficient utilization between energy sources of the integrated energy system, a nonlinear mixed integer dynamic scheduling optimization model is constructed with multiple objectives of minimizing economic operating costs, CO2 emissions, and energy consumption. The model is solved using a non-dominated ranking genetic algorithm, and the optimal scheduling scheme is determined by combining compromise schemes. Meanwhile, the system can spontaneously select the most appropriate scheduling strategy based on the proposed scheduling model. The results show that it saves 7.23 of operation cost, 33.04 of CO2 emission, and 9.94 of energy consumption compared with the conventional cooling, heating, and power triple-supply system. The system is not only a stable source of energy such as electricity and hydrogen, but also achieves energy saving and emission reduction.

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《Energy conversion & management》 |2023年第9期|117345.1-117345.14|共14页
作者
Liu S.; Song L.; Wang T.Dai B.Wang Z.Hao Y.;
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作者单位

Tianjin Key Laboratory of Refrigeration Technology Tianjin University of Commerce;

Tianjin Eco-Environmental Monitoring Center;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种英语
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关键词
CoCoSo; Integrated energy system; Negative carbon emissions; NSGA-III; Scheduling;

Negative carbon optimal scheduling of integrated energy system using a non-dominant sorting genetic algorithm

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