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Exergy analysis and thermoeconomic optimisation of double-effect ejector-absorption refrigeration cycle using genetic algorithm

机译:基于遗传算法的双效喷射器吸收式制冷循环的火用分析和热经济性优化

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Originally, absorption refrigeration cycles emerged in response to destructive environmental consequences of chlorofluorocarbons (CFCs) and hydrochlorofluorocarbon (HCFCs) and resulting world regulations to restrict utilising these materials as refrigerants. The fact that these cycles require heat instead of power attracted scientist attention; therefore, they have proposed and implemented different modifications to simple refrigeration cycles, including multi-effect systems and lately, ejectors. In this work, exergy analysis and thermoeconomic optimisation of a double-effect ejector-absorption refrigeration cycle is presented. In the first step, the exergy destruction of the whole cycle is studied based on thermodynamic parameters. In the next step, the thermoeconomic optimisation of the cycle is considered. In order to minimise the total annual cooling cost of the ejector-absorption cycle, an objective function including the energy cost and capital cost is defined. Design parameters of the system are optimised through genetic algorithm. This optimisation results in 16% reduction in the total annual cost in comparison with the base case.
机译:最初,吸收制冷循环是针对氯氟烃(CFC)和氢氯氟烃(HCFC)的破坏性环境后果而出现的,并且是由此产生的世界法规,旨在限制将这些材料用作制冷剂。这些循环需要热量而不是能量的事实引起了科学家的注意;因此,他们已经提出并实施了对简单制冷循环的不同修改,包括多效系统和最近的喷射器。在这项工作中,提出了双效喷射器吸收式制冷循环的火用分析和热经济性优化。第一步,基于热力学参数研究整个循环的火用破坏。在下一步中,考虑循环的热经济性优化。为了最小化喷射器吸收循环的年度总冷却成本,定义了一个目标函数,包括能源成本和资本成本。通过遗传算法对系统的设计参数进行优化。与基本案例相比,此优化可将年度总成本降低16%。

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