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Stochastic techniques used for optimization in solar systems: A review

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  • Sharma, Naveen
  • Varun,
  • Siddhartha,

Abstract

Nowadays, optimization of solar systems is used to reduce system total cost, increased life cycle savings and improving thermal efficiency. It is very demanding for optimal utilization of solar resources to meet the energy demands. Various optimization techniques either deterministic or stochastic are implemented to achieve this objective. The stochastic techniques generate better results as compared to deterministic in large search space in low computation time. The optimal set of design and operating parameters are means to produce maximum system performance. This study includes review of various stochastic optimization techniques implemented in solar energy systems for performance enhancement. Based on the results given by various investigators, an attempt has been made to compare the stochastic optimization techniques in terms of providing maximum system performance of different solar systems.

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  • Sharma, Naveen & Varun, & Siddhartha,, 2012. "Stochastic techniques used for optimization in solar systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(3), pages 1399-1411.
    • Handle: RePEc:eee:rensus:v:16:y:2012:i:3:p:1399-1411
    DOI: 10.1016/j.rser.2011.11.019
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    as
    1. Kalogirou, Soteris A., 2004. "Optimization of solar systems using artificial neural-networks and genetic algorithms," Applied Energy, Elsevier, vol. 77(4), pages 383-405, April.
    2. Kaushal, Aayush & Varun, 2010. "Solar stills: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(1), pages 446-453, January.
    3. Fong, K.F. & Yuen, S.Y. & Chow, C.K. & Leung, S.W., 2010. "Energy management and design of centralized air-conditioning systems through the non-revisiting strategy for heuristic optimization methods," Applied Energy, Elsevier, vol. 87(11), pages 3494-3506, November.
    4. Kumar, Rakesh & Sinha, A.R. & Singh, B.K. & Modhukalya, U., 2008. "A design optimization tool of earth-to-air heat exchanger using a genetic algorithm," Renewable Energy, Elsevier, vol. 33(10), pages 2282-2288.
    5. Hakimi, S.M. & Moghaddas-Tafreshi, S.M., 2009. "Optimal sizing of a stand-alone hybrid power system via particle swarm optimization for Kahnouj area in south-east of Iran," Renewable Energy, Elsevier, vol. 34(7), pages 1855-1862.
    6. Akella, A.K. & Saini, R.P. & Sharma, M.P., 2009. "Social, economical and environmental impacts of renewable energy systems," Renewable Energy, Elsevier, vol. 34(2), pages 390-396.
    7. Sacco, Wagner F. & Pereira, Cláudio M. N. A. & Soares, Pius P. M. & Schirru, Roberto, 2002. "Genetic algorithms applied to turbine extraction optimization of a pressurized-water reactor," Applied Energy, Elsevier, vol. 73(3-4), pages 217-222, November.
    8. Kongnam, C. & Nuchprayoon, S., 2010. "A particle swarm optimization for wind energy control problem," Renewable Energy, Elsevier, vol. 35(11), pages 2431-2438.
    9. Ekren, Orhan & Ekren, Banu Y., 2010. "Size optimization of a PV/wind hybrid energy conversion system with battery storage using simulated annealing," Applied Energy, Elsevier, vol. 87(2), pages 592-598, February.
    10. Muthusivagami, R.M. & Velraj, R. & Sethumadhavan, R., 2010. "Solar cookers with and without thermal storage--A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(2), pages 691-701, February.
    11. Varun, & Saini, R.P. & Singal, S.K., 2008. "Investigation of thermal performance of solar air heater having roughness elements as a combination of inclined and transverse ribs on the absorber plate," Renewable Energy, Elsevier, vol. 33(6), pages 1398-1405.
    12. Nafey, Abmed Safwat, 2005. "Simulation of solar heating systems--an overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 9(6), pages 576-591, December.
    13. Sharma, Atul & Chen, C.R. & Vu Lan, Nguyen, 2009. "Solar-energy drying systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(6-7), pages 1185-1210, August.
    14. Hans, Vishavjeet Singh & Saini, R.P. & Saini, J.S., 2009. "Performance of artificially roughened solar air heaters--A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 1854-1869, October.
    15. Ekren, Orhan & Ekren, Banu Y. & Ozerdem, Baris, 2009. "Break-even analysis and size optimization of a PV/wind hybrid energy conversion system with battery storage - A case study," Applied Energy, Elsevier, vol. 86(7-8), pages 1043-1054, July.
    16. Varun & Siddhartha, 2010. "Thermal performance optimization of a flat plate solar air heater using genetic algorithm," Applied Energy, Elsevier, vol. 87(5), pages 1793-1799, May.
    17. Bal, Lalit M. & Satya, Santosh & Naik, S.N., 2010. "Solar dryer with thermal energy storage systems for drying agricultural food products: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(8), pages 2298-2314, October.
    18. Thirugnanasambandam, Mirunalini & Iniyan, S. & Goic, Ranko, 2010. "A review of solar thermal technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(1), pages 312-322, January.
    19. Niknam, Taher & Firouzi, Bahman Bahmani, 2009. "A practical algorithm for distribution state estimation including renewable energy sources," Renewable Energy, Elsevier, vol. 34(11), pages 2309-2316.
    20. McCabe, A.P. & Aggidis, G.A. & Widden, M.B., 2010. "Optimizing the shape of a surge-and-pitch wave energy collector using a genetic algorithm," Renewable Energy, Elsevier, vol. 35(12), pages 2767-2775.
    21. Singal, S.K. & Varun, & Singh, R.P., 2007. "Rural electrification of a remote island by renewable energy sources," Renewable Energy, Elsevier, vol. 32(15), pages 2491-2501.
    22. Ekren, Orhan & Ekren, Banu Yetkin, 2008. "Size optimization of a PV/wind hybrid energy conversion system with battery storage using response surface methodology," Applied Energy, Elsevier, vol. 85(11), pages 1086-1101, November.
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