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首页> 外文期刊>Environmental progress >Optimal Sizing of Gas Engine in Combined Cooling Heat and Power Systems by a Proposed Evaluation Function and Genetic Algorithm Optimization Methods Based on 4E Analysis
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Optimal Sizing of Gas Engine in Combined Cooling Heat and Power Systems by a Proposed Evaluation Function and Genetic Algorithm Optimization Methods Based on 4E Analysis

机译：拟议的评估函数和基于4E分析的遗传算法优化方法在冷热电联产燃气发动机的优化选型。

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Determining the optimum size of the prime mover of combined cooling heating and power (CCHP) systems due to significant impact on energetic, environmental and economic results of these systems is very vital and essential. In this study, based on energy, exergy, environmental, and economic (4E) analysis the optimum capacity of the gas engine (GE) for CCHP systems have been investigated. The evaluation study performed by using a proposed evaluation function (EF) and genetic algorithm (GA) optimization methods for a sample official building in Iran. Regarding eight constraints, the optimum size of GE based on EF and GA optimization methods calculated 70 and 74.3437 kW, respectively. By comparing the results obtained from EF and GA methods, it was concluded that EF method calculate the same optimal capacity with little difference and with the same accuracy of GA method. This is while proposed EF method does not have the complexity of GA optimization algorithm and is simpler. (c) 2019 American Institute of Chemical Engineers Environ Prog, 38:e13146, 2019
机译：由于对这些系统的能量，环境和经济结果产生重大影响，因此确定组合式制冷供热（CCHP）系统的原动机的最佳尺寸是至关重要的。在这项研究中，基于能源，火用，环境和经济（4E）分析，研究了CCHP系统的燃气发动机（GE）的最佳容量。通过使用拟议的评估函数（EF）和遗传算法（GA）优化方法对伊朗的一个样本官方建筑物进行了评估研究。关于八个约束，基于EF和GA优化方法的GE的最佳尺寸分别计算出70和74.3437 kW。通过比较从EF和GA方法获得的结果，可以得出结论，EF方法计算出相同的最佳容量，而GA方法的差异很小且精度相同。与此相比，提出的EF方法不具有GA优化算法的复杂性，而且更简单。 （c）2019美国化学工程师学会Environ Prog，38：e13146，2019

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