基于NSGA-Ⅱ算法的VM循環(huán)熱泵多目標(biāo)優(yōu)化分析
發(fā)布時(shí)間:2018-06-25 11:40
本文選題:VM循環(huán)熱泵 + 系統(tǒng)性能; 參考:《太陽(yáng)能學(xué)報(bào)》2017年07期
【摘要】:以系統(tǒng)性能COP和效率ηe作為綜合優(yōu)化目標(biāo)函數(shù),選取熱源溫度、循環(huán)平均壓力、冷熱腔容積比和轉(zhuǎn)速作為決策變量。在決策變量的約束條件內(nèi),采用Matlab軟件和NSGA-Ⅱ算法,得到Pareto最優(yōu)前端,利用TOPSIS優(yōu)選方法優(yōu)選COP和效率ηe綜合指標(biāo)最佳的工況。對(duì)于以上4個(gè)決策變量,熱源溫度對(duì)目標(biāo)函數(shù)的影響最大,冷熱腔容積比與轉(zhuǎn)速影響相對(duì)較小,循環(huán)平均壓力的影響最小。因此在實(shí)際運(yùn)行中,應(yīng)首先保證熱源溫度恒定。
[Abstract]:The system performance cop and efficiency 畏 _ e are taken as the comprehensive optimization objective function, and the heat source temperature, cycle average pressure, volumetric ratio of cold and hot cavity and rotational speed are selected as decision variables. In the constraint condition of decision variables, the optimal front-end of Pareto is obtained by using Matlab software and NSGA- 鈪,
本文編號(hào):2065786
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