Process design, integration, and optimization of a novel compressed air energy storage for the coproduction of electricity, cooling, and water
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DOI: 10.1016/j.rser.2023.114034
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Cited by:
- Forootan, Mohammad Mahdi & Ahmadi, Abolfazl, 2024. "Machine learning-based optimization and 4E analysis of renewable-based polygeneration system by integration of GT-SRC-ORC-SOFC-PEME-MED-RO using multi-objective grey wolf optimization algorithm and ne," Renewable and Sustainable Energy Reviews, Elsevier, vol. 200(C).
- Zhi, Keke & Wang, Bohong & Guo, Lianghui & Chen, Yujie & Li, Wei & Ocłoń, Paweł & Wang, Jin & Chen, Yuping & Tao, Hengcong & Li, Xinze & Varbanov, Petar Sabev, 2024. "Graphical pinch analysis-based method for heat exchanger networks retrofit of a residuum hydrogenation process," Energy, Elsevier, vol. 299(C).
- Liu, Changchun & Su, Xu & Yin, Zhao & Sheng, Yong & Zhou, Xuezhi & Xu, Yujie & Wang, Xudong & Chen, Haisheng, 2024. "Experimental study on the feasibility of isobaric compressed air energy storage as wind power side energy storage," Applied Energy, Elsevier, vol. 364(C).
- Esmaeilion, Farbod & Soltani, M. & Nathwani, Jatin & Al-Haq, Armughan & Dusseault, M.B. & Rosen, Marc A., 2024. "Exergoeconomic assessment of a high-efficiency compressed air energy storage system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
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Keywords
Energy and water; Multigeneration; Renewable energy; Energy storage; Process integration; 4E analysis;All these keywords.
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