Low-carbon economic scheduling of large ship power system based on multi-energy cooperative utilization

Tiancheng Ouyang, Peijia Qin, Xiaoyu Tuo, Hao Zhou, Xinjing Xie and Yi Fan

Energy, 2025, vol. 314, issue C

Abstract: To mitigate costs and minimize environmental repercussions, integrated electric ship (IES) are an attractive option for developing greener, more efficient ships. Nevertheless, the service load uncertainty and the ineffective utilization of low-grade energy from diesel generators will hinder ships from attaining economical and low-carbon operation. Hence, an IES optimal joint scheduling model combining particle swarm optimization (PSO), waste heat recovery (WHR), and Latin hypercube sampling (LHS) is proposed. In this study, the mathematical modeling and reliability verification of the system are carried out, the performance of WHR is optimized, and the energy saving and emission reduction benefits of the combined system in IES's joint scheduling are explored. Simulation results illustrate that the innovative WHR integrated system can concurrently supply power, cooling capacity, and fresh water for IES, and the system yields 81.16 tons of fresh water during a single voyage. Finally, compared with Case 2, Case 1, which employs the transcritical CO2 Rankine cycle and combined cooling and power system, reduces operating costs and CO2 emissions by 2.3 % and 3.86 %, respectively, providing that the strategy proposed is effective in the IES's joint scheduling.

Keywords: Integrated electric ship; Waste heat recovery; Optimal joint scheduling; Particle swarm optimization; Latin hypercube sampling (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:314:y:2025:i:c:s0360544224040209

DOI: 10.1016/j.energy.2024.134242

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