基于平衡和非平衡权重算法的柴油机有机朗肯循环多目标优化
Multi-Objective Optimization of Organic Rankine Cycle for Diesel Engine Based on Balanced and Unbalanced Weight Algorithm
对非共沸混合工质的柴油机ORC系统进了研究,提出了一种基于平衡和非平衡权重的热力学高维多目标优化(EMO)方法。研究表明,使用非共沸混合物,可提高换热器中工质和热源的匹配度,苯/甲苯(质量比:60%/40%)的输出功率(Wnet)比纯工质提高5.4%~19.2%。敏感性参数分析表明,随着蒸发温度的增大,Wnet先增大后减小,热效率(ηth)单调增加,总㶲损(Izon)单调减少。由于Wnet,ηth和Izon相互矛盾,不存在同时满足这三个指标的运行参数,为此开展高维EMO,利用RPD-NSGA-Ⅱ进行多目标优化并通过TOPSIS进行分析。当基于ηth,Wnet和Izon的平衡权重进行选择,最佳ηth,Wnet和Izon分别为24.07%,72.36 kW和44.66 kW,而柴油机废气能量回收率(ηg)为12.5%;当基于Wnet和ηth的非平衡权重进行选择,最佳ηth和Wnet分别为22.42%和81.44 kW,对应的Izon为52.33 kW,ηg为14.07%。可见,基于不同权重的选取能够给出更多的工程选择。
The ORC system of a diesel engine with the non-azeotropic mixture was investigated and a highdimensional evolutionary multi-objective optimization(EMO) method was proposed based on balanced and unbalanced weights. The results indicate that using non-azeotropic mixtures in the ORC system enhances the match between the working fluid and heat source in the heat exchanger. Compared with the pure working fluid, the output power(Wnet) of benzene/toluene (60%/40% mass ratio) increases by 5.4%-19.2%. According to the sensitivity parameter analysis, Wnet first increases and then decreases, the thermal efficiency(ηth) monotonically increases, and the total exergy destruction(Izon) monotonically decreases when the evaporation temperature increases. The Wnet, ηth, and Izon indicators are mutually exclusive, and so there is no operating parameter that satisfies all three indicators simultaneously. Consequently, a high-dimensional EMO method is employed, and multi-objective optimization is performed using RPD-NSGA-Ⅱ and analysis is conducted by TOPSIS. Based on the balanced weight approach, the optimal values forηth, Wnet, and Izon are 24.07%, 72.36 kW and 44.66 kW respectively with a diesel exhaust gas energy recovery rate(ηg) of 12.5%. On the other hand, choosing unbalanced weights of Wnet andηth results in the optimalηth and Wnet of 22.42% and 81.44 kW, which corresponds to the Izon andηg of 52.33 kW and 14.07%. Accordingly, the use of different weight combinations presents more engineering choices.
非共沸混合工质 / 有机朗肯循环 / 敏感性分析 / 多目标优化
non-azeotropic mixture / organic rankine cycle / sensitivity analysis / multi-objective optimization
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