2002
DOI: 10.1016/s0038-092x(02)00111-1
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Investigations on optimizing large solar thermal systems

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Cited by 20 publications
(12 citation statements)
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“…Applicability of /-F chart method (Braun et al, 1983;Colle and Vidal, 2004) is restricted due to the complexity involved in the calculation of utilizability. Detailed simulation models have been applied for design and optimization of solar hot water systems (Braun et al, 1981;Chang and Minardi, 1980;Ghoneim et al, 1993;Shariah and Lof, 1996;Michaelides and Wilson, 1996;Abdel and Mohamad, 2001;Krause et al, 2002;Bojic et al, 2002;Mills and Morrison, 2003;Kalogirou, 2004;Chow et al, 2006). Different linear/nonlinear optimization techniques (Michelson, 1982;Matrawy and Farkas, 1997) and evolutionary search algorithms (Panteliou et al, 1996;Loomans and Visser, 2002;Kalogirou, 2004) have also been applied.…”
Section: Introductionmentioning
confidence: 99%
“…Applicability of /-F chart method (Braun et al, 1983;Colle and Vidal, 2004) is restricted due to the complexity involved in the calculation of utilizability. Detailed simulation models have been applied for design and optimization of solar hot water systems (Braun et al, 1981;Chang and Minardi, 1980;Ghoneim et al, 1993;Shariah and Lof, 1996;Michaelides and Wilson, 1996;Abdel and Mohamad, 2001;Krause et al, 2002;Bojic et al, 2002;Mills and Morrison, 2003;Kalogirou, 2004;Chow et al, 2006). Different linear/nonlinear optimization techniques (Michelson, 1982;Matrawy and Farkas, 1997) and evolutionary search algorithms (Panteliou et al, 1996;Loomans and Visser, 2002;Kalogirou, 2004) have also been applied.…”
Section: Introductionmentioning
confidence: 99%
“…A GA is a popular metaheuristic technique that is particularly well suited for the optimal design problems of energy systems [28] and has been proved to be a good method to solve combinatorial optimization problems in many previous studies [7,[10][11][12][13]. To optimize the design variables of the SWH system, this study uses the evolutionary algorithm based on NSGA-II proposed by Deb [39,40].…”
Section: Application Of Nsga-ii To Optimize Swh Systemmentioning
confidence: 99%
“…Most of them are based on certain characteristics and behavior of biological and molecular systems, swarms of insects, or neurobiological systems [7]. For instance, to optimize the design variables of an SWH system, linear and nonlinear optimization methods [8,9], genetic algorithms (GAs) [7,[10][11][12][13][14][15], and particle swarm optimization (PSO) [16,17] have been applied. Furthermore, hybrid optimization techniques such as the combination of PSO with the Hooke-Jeeves method [18] and the combination of a GA with the binary search method [19] have also been utilized in recent years.…”
Section: Introductionmentioning
confidence: 99%
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“…Hahne [3] reported the effect of parameters on the efficiency of flat-plate collector. Krause et al [4] reported the optimization procedure to improve performance of large solar thermal system. Andersen et al [5], Robles et al [6] and Wrobel et al [7] reported the effect of weather and location on thermal performance of solar thermal collector systems.…”
Section: Introductionmentioning
confidence: 99%