Abstract

This work investigates an exhaust heat-driven ejector refrigeration system with the thermo-economic considerations. The system is thermally modelled and is optimized considering the performance coefficient and the total annual cost as two objectives using heat transfer search algorithm. Generator temperature, evaporator temperature and condenser temperature are considered as design variables. A 2-D shock circle model is used to simulate the ejector component with R245fa refrigerant. The results of multi-objective optimization are discussed using the Pareto frontier obtained between both conflicting objective functions. The effect of varying the nozzle throat diameter and the ecological function on the thermo-economic objectives is presented and discussed. The sensitivity analysis of the objective functions to the decision variables is investigated. Further, the exergo-economic results at the optimal point are also presented and discussed. The results reveal that the ejector and the generator are the leading contributors to the exergy destruction and hence to the total annual cost. The coefficient of performance and total annual cost at the best optimal point are 0.3 and 25,903 $/year, respectively. The optimized product unit cost of the system is 53.8 $/GJ with 10.5% exergy efficiency.

Graphic abstract

中文翻译：

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基于热经济准则的喷射器制冷系统性能多目标评估

摘要

这项工作从热经济学的角度研究了排气热驱动的喷射器制冷系统。对系统进行热建模，并使用传热搜索算法将性能系数和年度总成本作为两个目标进行优化。发电机温度，蒸发器温度和冷凝器温度被视为设计变量。二维激振圆模型用于模拟带有R245fa制冷剂的喷射器组件。使用两个有冲突的目标函数之间获得的帕累托边界讨论了多目标优化的结果。提出并讨论了改变喷嘴喉咙直径和生态功能对热经济目标的影响。研究了目标函数对决策变量的敏感性分析。此外，还介绍和讨论了最佳点的能效经济结果。结果表明，喷射器和发生器是造成火用破坏的主要因素，因此也是年度总成本的主要因素。在最佳最佳点的性能系数和年度总成本分别为0.3和25,903美元/年。该系统的优化产品单位成本为53.​​8 $ / GJ，有效率为10.5％。

图形摘要