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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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  • Yilmaz, Ceyhun

Abstract

The present paper deals with the hydrogen liquefaction system with absorption precooling cycle assisted by geothermal energy is modeled and analyzed as an exergoeconomic. Uses part of the geothermal water heat for absorption refrigeration to precool the hydrogen gas and part of the geothermal water heat to produce work with a binary geothermal cycle and use it in a liquefaction cycle. Exergoeconomic optimization procedure is applied using genetic algorithm method to the integrated system. The objective is to minimize the unit cost of hydrogen liquefaction of the composed system. Based on optimization calculations, hydrogen gas can be cooled down to −30 °C in the precooling cycle. The actual work consumption in the hydrogen liquefaction is calculated to be 10.06 kWh/kg LH2. The unit exergetic liquefaction cost of hydrogen is calculated to be 1.114 $/kg LH2 or 9.27 $/GJ, respectively in the optimum case.

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  • Yilmaz, Ceyhun, 2018. "A case study: Exergoeconomic analysis and genetic algorithm optimization of performance of a hydrogen liquefaction cycle assisted by geothermal absorption precooling cycle," Renewable Energy, Elsevier, vol. 128(PA), pages 68-80.
    • Handle: RePEc:eee:renene:v:128:y:2018:i:pa:p:68-80
    DOI: 10.1016/j.renene.2018.05.063
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    2. 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).
    3. 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.
    4. 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.
    5. 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.
    6. 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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