Performance evaluation and multi-objective optimization of hybrid photovoltaic-thermal collectors

被引：29
|
作者：
Vera, J. Tamayo [1 ]
Laukkanen, T. [1 ]
Siren, K. [1 ]
机构：
[1] Aalto Univ, Dept Energy Technol, Sch Engn, Espoo, Finland
来源：
SOLAR ENERGY | 2014年 / 102卷
关键词：
Solar energy; Photovoltaic thermal collector; Optimization; NSGA-II; Genetic algorithm; SYSTEMS; MODEL;
D O I：
10.1016/j.solener.2014.01.014
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
A mathematical model for making quantitative and qualitative predictions regarding the performance of water-cooled PV/T systems is presented. The hypothesis of the research is that design parameters affecting photovoltaic/thermal collectors' feasibility have to be optimized simultaneously in order to choose among a set of conflicting solutions the optimal design which fits a given application. The collectors design and performance are studied simultaneously using an elitist multi-objective evolutionary algorithm Non-Dominated Sorting Genetic Algorithm-II (NSGA-II). NSGA-II derives the Pareto optimal set, which illustrates the trade-off between solutions. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码：223 / 233
页数：11
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