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Thermal performance optimization of a flat plate solar air heater using genetic algorithm

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  • Varun
  • Siddhartha

Abstract

Thermal performance of solar air heater is low and different techniques are adopted to increase the performance of solar air heaters, such as: fins, artificial roughness etc. In this paper an attempt has been done to optimize the thermal performance of flat plate solar air heater by considering the different system and operating parameters to obtain maximum thermal performance. Thermal performance is obtained for different Reynolds number, emissivity of the plate, tilt angle and number of glass plates by using genetic algorithm.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:appene:v:87:y:2010:i:5:p:1793-1799
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    Cited by:

    1. Yang, Ming & Yang, Xudong & Li, Xing & Wang, Zhifeng & Wang, Pengsu, 2014. "Design and optimization of a solar air heater with offset strip fin absorber plate," Applied Energy, Elsevier, vol. 113(C), pages 1349-1362.
    2. Baños, R. & Manzano-Agugliaro, F. & Montoya, F.G. & Gil, C. & Alcayde, A. & Gómez, J., 2011. "Optimization methods applied to renewable and sustainable energy: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(4), pages 1753-1766, May.
    3. Dong, Yao & Wang, Jianzhou & Jiang, He & Shi, Xiaomeng, 2013. "Intelligent optimized wind resource assessment and wind turbines selection in Huitengxile of Inner Mongolia, China," Applied Energy, Elsevier, vol. 109(C), pages 239-253.
    4. Siddhartha, & Sharma, Naveen & Varun,, 2012. "A particle swarm optimization algorithm for optimization of thermal performance of a smooth flat plate solar air heater," Energy, Elsevier, vol. 38(1), pages 406-413.
    5. Rosas-Flores, Jorge Alberto & Rosas-Flores, Dionicio & Fernández Zayas, José Luis, 2016. "Potential energy saving in urban and rural households of Mexico by use of solar water heaters, using geographical information system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 243-252.
    6. Singh, Sukhmeet & Chander, Subhash & Saini, J.S., 2012. "Investigations on thermo-hydraulic performance due to flow-attack-angle in V-down rib with gap in a rectangular duct of solar air heater," Applied Energy, Elsevier, vol. 97(C), pages 907-912.
    7. Hadidi, Amin, 2015. "A robust approach for optimal design of plate fin heat exchangers using biogeography based optimization (BBO) algorithm," Applied Energy, Elsevier, vol. 150(C), pages 196-210.
    8. Wang, Limin & Deng, Lei & Ji, Chenglong & Liang, Erkai & Wang, Changxia & Che, Defu, 2016. "Multi-objective optimization of geometrical parameters of corrugated-undulated heat transfer surfaces," Applied Energy, Elsevier, vol. 174(C), pages 25-36.
    9. Hassan, Hamdy & Abo-Elfadl, Saleh & El-Dosoky, M.F., 2020. "An experimental investigation of the performance of new design of solar air heater (tubular)," Renewable Energy, Elsevier, vol. 151(C), pages 1055-1066.
    10. 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.
    11. Zahraee, S.M. & Khalaji Assadi, M. & Saidur, R., 2016. "Application of Artificial Intelligence Methods for Hybrid Energy System Optimization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 617-630.
    12. Goel, Varun & Kumar, Rajneesh & Bhattacharyya, Suvanjan & Tyagi, V.V. & Abusorrah, Abdullah M., 2021. "A comprehensive parametric investigation of hemispherical cavities on thermal performance and flow-dynamics in the triangular-duct solar-assisted air-heater," Renewable Energy, Elsevier, vol. 173(C), pages 896-912.
    13. Cabello, J.M. & Cejudo, J.M. & Luque, M. & Ruiz, F. & Deb, K. & Tewari, R., 2011. "Optimization of the size of a solar thermal electricity plant by means of genetic algorithms," Renewable Energy, Elsevier, vol. 36(11), pages 3146-3153.

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