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Thermo-economic optimization of Stirling heat pump by using non-dominated sorting genetic algorithm

机译:基于非支配排序遗传算法的斯特林热泵热经济性优化

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In this research, a parametric investigation of irreversible Stirling heat pump cycles that includes both internal and external irreversibilities together finite heat capacities of external reservoirs is carried out. Finite temperature difference between the external fluids and the working fluids through the heat sink and heat source causes an external irreversibility. On the other hand, regenerative heat loss and entropy generation through the cycle are the main source of the internal irreversibilities generation. Three objective functions including the heating load (RH) and coefficient of performance (COP) and thermo-economic criterion (F) have been considered simultaneously maximized. To evaluate this goal, Multi-objective optimization method jointed to NSGA-Ⅱ approach is implemented, which following parameters are included as decision parameters such as 1 - the effectiveness of the hot-side heat exchanger, 2 - the effectiveness of the cold-side heat exchanger, 3 - the rate of heat capacitance through the heat sink and heat source, 4 - temperature ratio (T_h/T/c), and 5 - temperature of cold side. By accomplishing above mentioned multi-objective optimization method, Pareto optimum frontier figured out, and with the aim of well-known decision-makers which consists the LINMAP, FUZZY Bellman-Zadeh and TOPSIS techniques, final optimum answers are specified.
机译:在这项研究中,对不可逆斯特林热泵循环进行了参数研究,其中包括内部和外部不可逆性以及外部水库的有限热容量。通过散热器和热源的外部流体与工作流体之间的有限温差会导致外部不可逆性。另一方面,循环中的再生热损失和熵产生是内部不可逆性产生的主要来源。同时考虑了三个目标函数,包括热负荷(RH)和性能系数(COP)以及热经济指标(F)。为了评估该目标,实施了与NSGA-Ⅱ方法相结合的多目标优化方法,其中包括以下参数作为决策参数:1-热侧热交换器的效率,2-冷侧热交换器的效率热交换器,3-通过散热器和热源的热容率,4-温度比(T_h / T / c),5-冷侧温度。通过完成上述多目标优化方法,找出了帕累托最优边界,并以包括LINMAP,FUZZY Bellman-Zadeh和TOPSIS技术在内的著名决策者为目标,确定了最终的最优答案。

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