Power optimization of an endoreversible closed intercooled regenerated Brayton cycle |
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| Affiliation: | 1. Faculty 306, Naval University of Engineering, Wuhan 430033, PR China;2. Mechanical Engineering Department, US Naval Academy, Annapolis, MD 21402, USA;1. School of Mathematics, Minhaj University Lahore, Pakistan;2. Center for Mathematical Sciences (CMS), Pakistan Institute of Engineering & Applied Sciences, Nilore, 45650, Islamabad, Pakistan;3. Department of Physics and Applied Mathematics (DPAM), Pakistan Institute of Engineering & Applied Sciences, Nilore, 45650, Islamabad, Pakistan;4. Department of Mathematics, Division of Science and Technology, University of Education, Lahore, 54770, Pakistan;5. Mathematics Department, Al-Qunfudah University College, Umm Al-Qura University, Mecca, 21421, Saudi Arabia;6. Department of Physics, University of the Punjab Lahore, Pakistan;7. Department of Mathematics, College of Science, King Khalid University, Abha, 61413, Saudi Arabia;1. Massachusetts Institute of Technology, Department of Mechanical Engineering, 77 Massachusetts Ave., Cambridge, MA 02139, USA;2. National Energy Technology Laboratory, Morgantown, WV 26507, USA |
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| Abstract: | In this paper, power is optimized for an endoreversible closed intercooled regenerated Brayton cycle coupled to constant-temperature heat reservoirs in the viewpoint of finite-time thermodynamics (FTT) or entropy generation minimization (EGM). The effects of some design parameters, including the cycle heat reservoir temperature ratio and total heat exchanger inventory, on the maximum power and the corresponding efficiency are analyzed by numerical examples. The analysis shows that the cycle dimensionless power can be optimized by searching the optimum heat conductance distributions among the hot- and cold-side heat exchangers, the regenerator and the intercooler for fixed total heat exchanger inventory, and by searching the optimum intercooling pressure ratio. When the optimization is performed with respect to the total pressure ratio of the cycle, the maximum dimensionless power can be maximized again. |
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