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A multi-objective analysis for enhanced energy and exergy performances of an integrated compressed air energy storage system using the meta-heuristic whale optimization algorithm

Qiuli LiSchool of Computer Science and Technology, Shandong Technology and Business University, Yantai 264005, ChinaFei CaiSchool of Computer Science and Technology, Shandong Technology and Business University, Yantai 264005, ChinaSaleem AbbasAlsalam University CollegeAshit Kumar DuttaDepartment of Computer Science and Information Systems, College of Applied Sciences, AlMaarefa University, Ad Diriyah, Riyadh 13713, Saudi ArabiaShirin ShomurotovaDepartment of Chemistry Teaching Methods, Tashkent State Pedagogical University named after Nizami, Bunyodkor street 27, Tashkent, UzbekistanYasser ElmasryDepartment of Mathematics, College of Science, King Khalid University, P.O. Box 9004, Abha 61466, Saudi Arabia

Journal of Energy Storagejournal2024en

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ABI

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Thermodynamic and Exergetic Analyses of Power and Cooling Systems Building Energy and Comfort Optimization Refrigeration and Air Conditioning Technologies

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DOI: 10.1016/j.est.2024.114681

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