Power optimization of an endoreversible closed intercooled regenerated Brayton-cycle coupled to variable-temperature heat-reservoirs |
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| Affiliation: | 1. Postgraduate School, Naval University of Engineering, Wuhan 430033, PR China;2. Mechanical Engineering Department, US Naval Academy, Annapolis, MD 21402, USA;1. School of Chemical Engineering and Technology, Xi’an Jiaotong University, Xi’an 710049, China;2. State Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University, Xi’an 710049, China;3. Key Laboratory of Efficient Utilization of Low and Medium Grade Energy (Tianjin University), MOE, Tianjin 300072, China;1. College of Mechanical and Transportation Engineering, China University of Petroleum, Beijing 102249, PR China;2. State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou 310027, PR China;1. Energy System Engineering, Korea University of Science and Technology (UST), 217 Gajeong-ro Yuseong-gu, Daejeon, Republic of Korea;2. Energy Efficiency Research Division, Korea Institute of Energy Research (KIER), 152 Gajeong-ro, Yuseong-gu, Daejeon, Republic of Korea;1. Institute of Turbomachinery, State Key Lab Multiphase Flow Power Engineering, School of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an 710049, China;2. School of Energy and Environment, Southeast University, Nanjing 210096, China;3. Energy Transport and Research Laboratory, Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA;4. Equipment Division, Datang Shaanxi Power Generation Co., Ltd. Baqiao Thermoelectric Power Plant, Xi’an 710038, China;1. Geoenvironmental Group, Civil Engineering Department, University of Castilla-La Mancha, Avda. Camilo José Cela s/n, 13071 Ciudad Real, Spain;2. B+Tech Oy, Laulukuja 4, 00420 Helsinki, Finland |
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| Abstract: | In this paper, in the viewpoint of finite-time thermodynamics and entropy-generation minimization are employed. The analytical formulae relating the power and pressure-ratio are derived assuming heat-resistance losses in the four heat-exchangers (hot- and cold-side heat exchangers, the intercooler and the regenerator), and the effect of the finite thermal-capacity rate of the heat reservoirs. The power optimization is performed by searching the optimum heat-conductance distributions among the four heat-exchangers for a fixed total heat-exchanger inventory, and by searching for the optimum intercooling pressure-ratio. When the optimization is performed with respect to the total pressure-ratio of the cycle, the maximum power is maximized twice and a ‘double-maximum’ power is obtained. When the optimization is performed with respect to the thermal capacitance rate ratio between the working fluid and the heat reservoir, the double-maximum power is maximized again and a thrice-maximum power is obtained. The effects of the heat reservoir’s inlet-temperature ratio and the total heat-exchanger inventory on the optimal performance of the cycle are analyzed by numerical examples. |
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