An innovative compressed air energy storage (CAES) using hydrogen energy integrated with geothermal and solar energy technologies: A comprehensive techno-economic analysis - different climate areas- using artificial intelligent (AI) |
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| Affiliation: | 1. State Key Laboratory of Nonlinear Mechanics, Institute of Mechanics, Chinese Academy of Sciences, Beijing, 100190, China;2. School of Engineering Science, University of Chinese Academy of Sciences, Beijing, 100049, China;3. The University of Hong Kong, Hong Kong, 999077, China;4. School of Earth and Space Sciences, Peking University, Beijing, 100871, China;1. Department of Chemical Engineering, University of Engineering and Technology, Lahore, Pakistan;2. Corporate Sustainability and Digital Chemical Management Department, Interloop Limited, Pakistan;1. School of Chemistry and Chemical Engineering, China University of Mining and Technology, 1 Daxue Street, Xuzhou, 221116, Jiangsu Province, China;2. School of Energy and Power Engineering, Nanjing University of Science and Technology, 200 Xiaolingwei Street, 210094, Jiangsu Province, China;1. Department of Chemical Engineering and Applied Chemistry, University of Toronto, 200 College Street. Toronto, ON, Canada, M5S 3E5;2. Deptartment of Civil & Mineral Engineering, University of Toronto, 35 St. George Street. Toronto, ON Canada M5S 1A4;1. School of Computer and Information, Qiannan Normal University for Nationalities, Duyun, Guizhou, 558000, China;2. School of Information and Artificial Intelligence, Nanchang Institute of Science and Technology, Nanchang, China;3. Institute for Big Data Analytics and Artificial Intelligence (IBDAAI), Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia;4. Faculty of Mechanical Engineering, University of Guilan, Rasht, Iran;1. Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences, Jinjiang, 362000, China;2. College of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University, Fuzhou, 350002, China;3. School of mechanical engineering, Beijing institute of technology, Beijing, 100081, China;4. College of Energy, Xiamen University, Xiamen, 361005, China;5. University of Chinese Academy of Sciences, Beijing, 100049, China;6. School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China |
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| Abstract: | The present study evaluates the optimal design of a renewable system based on solar and geothermal energy for power generation and cooling based on a solar cycle with thermal energy storage and an electrolyzer to produce hydrogen fuel for the combustion chamber. The subsystems include solar collectors, gas turbines, an electrolyzer, an absorption chiller, and compressed air energy storage. The solar collector surface area, geothermal source temperature, steam turbine input pressure, and evaporator input temperature were found to be major determinants. The economic analysis of the system showed that the solar subsystem, steam Rankine cycle, and compressed air energy storage accounted for the largest portions of the cost rate. The exergy analysis of the system demonstrated that the solar subsystem and SRC had the highest contributions to total exergy destruction. A comparative case study was conducted on Isfahan, Bandar Abbas, Mashhad, Semnan, and Zanjan in Iran to evaluate the performance of the proposed system at different ambient temperatures and irradiance levels during the year. To optimize the system and find the optimal objective functions, the NSGA-II algorithm was employed. The contradictory objective functions of the system included exergy efficiency maximization and cost rate minimization. The optimal Exergy round trip efficiency and cost rate were found to be 29.25% and 714.25 ($/h), respectively. |
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| Keywords: | Solar energy Geothermal energy Compressed-air energy storage (CAES) Exergy round trip efficiency Cost rate Artificial intelligent (AI) |
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