A case study: Exergoeconomic analysis and genetic algorithm optimization of performance of a hydrogen liquefaction cycle assisted by geothermal absorption precooling cycle
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DOI: 10.1016/j.renene.2018.05.063
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Cited by:
- Yilmaz, Ceyhun & Koyuncu, Ismail, 2021. "Thermoeconomic modeling and artificial neural network optimization of Afyon geothermal power plant," Renewable Energy, Elsevier, vol. 163(C), pages 1166-1181.
- Kim, Ayeon & Yoo, Youngdon & Kim, Suhyun & Lim, Hankwon, 2021. "Comprehensive analysis of overall H2 supply for different H2 carriers from overseas production to inland distribution with respect to economic, environmental, and technological aspects," Renewable Energy, Elsevier, vol. 177(C), pages 422-432.
- Li, Kaiyu & Gao, Yitong & Zhang, Shengan & Liu, Guilian, 2022. "Study on the energy efficiency of bioethanol-based liquid hydrogen production process," Energy, Elsevier, vol. 238(PC).
- Fengyuan Yan & Jinliang Geng & Guangxin Rong & Heng Sun & Lei Zhang & Jinxu Li, 2023. "Optimization and Analysis of an Integrated Liquefaction Process for Hydrogen and Natural Gas Utilizing Mixed Refrigerant Pre-Cooling," Energies, MDPI, vol. 16(10), pages 1-18, May.
- Sun, Chongzheng & Liu, Yuxiang & Yang, Xin & Li, Yuxing & Geng, Xiaoyi & Han, Hui & Lu, Xiao, 2024. "Experimental and numerical study on the offshore adaptability of new FLH2 floating hydrogen liquefaction production storage and offloading unit," Renewable Energy, Elsevier, vol. 224(C).
- Nawei Liu & Fei Xie & Zhenhong Lin & Mingzhou Jin, 2020. "Evaluating national hydrogen refueling infrastructure requirement and economic competitiveness of fuel cell electric long-haul trucks," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(3), pages 477-493, March.
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Keywords
Geothermal energy; Hydrogen liquefaction; Exergoeconomic; Optimization;All these keywords.
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