Hamilton-Jacobi-Bellman equations and dynamic programming for power-optimization of a multistage heat engine system with generalized convective heat transfer law |
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Authors: | ShaoJun Xia LinGen Chen FengRui Sun |
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Affiliation: | Postgraduate School, Naval University of Engineering, Wuhan 430033, China |
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Abstract: | A multistage endoreversible Carnot heat engine system operating between a finite thermal capacity high-temperature fluid reservoir
and an infinite thermal capacity low-temperature environment with generalized convective heat transfer law q
∝(ΔT)m] is investigated in this paper. Optimal control theory is applied to derive the continuous Hamilton-Jacobi-Bellman (HJB)
equations, which determine the optimal fluid temperature configurations for maximum power output under the conditions of fixed
initial time and fixed initial temperature of the driving fluid. Based on the universal optimization results, the analytical
solution for the Newtonian heat transfer law (m=1) is also obtained. Since there are no analytical solutions for the other heat transfer laws (m≠1), the continuous HJB equations are discretized and dynamic programming algorithm is performed to obtain the complete numerical
solutions of the optimization problem. The relationships among the maximum power output of the system, the process period
and the fluid temperature are discussed in detail. The results obtained provide some theoretical guidelines for the optimal
design and operation of practical energy conversion systems. |
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Keywords: | generalized convective heat transfer law multistage heat engine system maximum power optimal control finite timethermodynamics |
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