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Exergoeconomic investigation and multi-objective optimization of different ORC configurations for waste heat recovery: A comparative study

机译:对废热回收的不同ORC配置的Exergo经济调查和多目标优化:比较研究

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This paper compares four different architectures of organic Rankine cycle (ORC) namely the Basic ORC, Recuperative ORC, Regenerative ORC, and Recuperative-Regenerative ORC (RR-ORC) from the exergoeconomy viewpoint. First, a parametric analysis is performed to understand the effect of evaporator temperature, condenser temperature, and pinch point temperature difference on the performance of each system configuration. Next, a multi-objective optimization is performed to optimize the performance of the four configurations using Pareto Envelope-based Selection Algorithm-II (PESA-II) with exergy efficiency and the system cost rate as the objective functions. Pareto fronts, representing the set of optimal solutions, are obtained for each configuration, and multi-criteria decision analysis is done using the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) to select the best optimal solution. Next, the exergetic and exergoeconomic performance of the four ORC configurations is evaluated at their corresponding optimal conditions in order to provide a comparative assessment. It was found that, under optimal conditions, the RR-ORC performs superiorly to the other three configurations. Compared to the Basic ORC, the net power and exergy efficiency of the RR-ORC are 16.19% and 15.33% higher, while the system cost rate is 1.68 % low. After, the RR-ORC, the Regenerative, and the Recuperative ORCs are the second and the third-best configurations. It was also found that in all four configurations, the cost rate of exergy loss accounts for approximately 60 % of the total system cost rate.
机译:本文比较了四种不同架构的有机朗肯循环(ORC)即碱性兽人,恢复兽人,再生ORC和来自Exergo经济性观点的循环再生兽人(RR-ORC)。首先,进行参数分析以了解蒸发器温度,冷凝器温度和夹点温度差对每个系统配置的性能的影响。接下来,执行多目标优化,以使用基于Pareto信封的选择算法-II(PESA-II)优化四种配置的性能,具有卓越的效率和系统成本率作为目标函数。对于每个配置获得的Pareto Fronts是针对每个配置获得的,并且使用与理想解决方案(TOPSIS)相似的技术优先考虑的多标准判定分析,以选择最佳的最佳解决方案。接下来,在相应的最佳条件下评估四个兽人配置的前诊断性和exergo经济性能,以提供比较评估。发现,在最佳条件下,RR-ORC在其他三种配置中执行。与基本兽人相比,RR-ORC的净功率和高效效率为16.19%和15.33%,而系统成本率低1.68%。之后,RR-ORC,再生和恢复兽人是第二个和第三个最佳配置。还发现,在所有四种配置中,高度损失的成本率占总系统成本率的约60%。

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