Performance analysis and multi-objective optimization of a novel CCHP system integrated energy storage in large seagoing vessel

Tiancheng Ouyang, Xianlin Tan, Xiaoyu Tuo, Peijia Qin and Chunlan Mo

Renewable Energy, 2024, vol. 224, issue C

Abstract: To advance sustainable development and emission reduction efforts within the maritime industry, a novel combined cooling, heating, power, and storage (CCHPS) system is proposed. This system comprises a cogeneration system (ORC + ARC) and a thermal energy storage (TES) system. Initially, optimal working fluids are selected for the ORC and TES discharge systems. Subsequently, an analysis is conducted regarding the correlation between sensitivity parameters and system performance. Then, the cogeneration system's optimum design parameters are determined utilizing the multi-objective grey wolf optimization (MOGWO) algorithm. Finally, the TES system is analyzed and matched with the diesel generators to meet the ship's electricity demand. The CCHPS system achieves optimal thermal efficiency, payback period, annual CO2 emission reduction, and annual fuel savings of 30.07%, 6.22 years, 8910.49 tons, and 2791.74 kL, respectively. In contrast to the TES-absent system, the CCHPS system exhibits a 12.88% increase in thermal efficiency, along with a 25.48% improvement in annual fuel savings and annual CO2 emission reduction.

Keywords: Waste heat recovery; Multi-objective grey wolf optimization; Phase change heat storage; Working fluid selection; Power demand matching (search for similar items in EconPapers)
Date: 2024
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:224:y:2024:i:c:s0960148124002507

DOI: 10.1016/j.renene.2024.120185

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