Design optimization of desalination systems power-supplied by PV and W/G energy sources

被引:109
作者
Koutroulis, E. [1 ]
Kolokotsa, D. [2 ]
机构
[1] Tech Univ Crete, Dept Elect & Comp Engn, Iraklion, Greece
[2] Tech Univ Crete, Dept Environm Engn, Iraklion, Greece
关键词
Desalination; Renewable energy sources; Photovoltaic modules; Wind-generator; Genetic algorithms; WATER; SIMULATION; PLANTS; AREAS; ARRAY; SEA;
D O I
10.1016/j.desal.2010.03.018
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
In this paper, a methodology for the optimal sizing of desalination systems, power-supplied by Photovoltaic modules and Wind-Generators, is presented. The purpose of the proposed methodology is to derive, among a list of commercially available system devices, the optimal number and type of units such that the 20-year round total system cost is minimized, while simultaneously the consumer's water demand is completely covered. The total cost function minimization is implemented using genetic algorithms, which have the ability to calculate the global optimum in the overall state space with relative computational simplicity. The proposed method has been applied for the design of desalination systems, which cover the potable water demands of a small community and of a residential household, respectively, in order to prove its effectiveness in various desalination system size scales. According to the corresponding optimal sizing results presented in this paper, the total cost of the desalination system is highly affected by the operational characteristics of the devices comprising the system, which affect the degree of exploitation of the available solar and wind energy potentials. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码:171 / 181
页数:11
相关论文
共 17 条
[1]   Methodology for optimally sizing the combination of a battery bank and PV array in a Wind/PV hybrid system [J].
Borowy, BS ;
Salameh, ZM .
IEEE TRANSACTIONS ON ENERGY CONVERSION, 1996, 11 (02) :367-373
[2]  
CHEDID R, 2007, IEEE POW ENG SOC GEN, P1
[3]   Photovoltaic powered reverse osmosis sea-water desalination systems [J].
Colangelo, A ;
Marano, D ;
Spagna, G ;
Sharma, VK .
APPLIED ENERGY, 1999, 64 (1-4) :289-305
[4]   Comparison of photovoltaic array maximum power point tracking techniques [J].
Esram, Trishan ;
Chapman, Patrick L. .
IEEE TRANSACTIONS ON ENERGY CONVERSION, 2007, 22 (02) :439-449
[5]   Water desalination cost literature: review and assessment [J].
Karagiannis, Ioannis C. ;
Soldatos, Petros G. .
DESALINATION, 2008, 223 (1-3) :448-456
[6]   Wind energy exploitation for reverse osmosis desalination plants [J].
Kiranoudis, CT ;
Voros, NG ;
Maroulis, ZB .
DESALINATION, 1997, 109 (02) :195-209
[7]   Renewable energy driven desalination systems modelling [J].
Koroneos, C. ;
Dompros, A. ;
Roumbas, G. .
JOURNAL OF CLEANER PRODUCTION, 2007, 15 (05) :449-464
[8]   Optimization strategy for a small-scale reverse osmosis water desalination system based on solar energy [J].
Laborde, HM ;
França, KB ;
Neff, H ;
Lima, AMN .
DESALINATION, 2001, 133 (01) :1-12
[9]  
Lorenzo E., 1994, SOLAR ELECT ENG PHOT
[10]   A simulation-optimisation programme for designing hybrid energy systems for supplying electricity and fresh water through desalination to remote areas - Case study: the Merssini village, Donoussa island, Aegean Sea, Greece [J].
Manolakos, D ;
Papadakis, G ;
Papantonis, D ;
Kyritsis, S .
ENERGY, 2001, 26 (07) :679-704