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Hybrid optimization algorithm for thermal analysis in a solar parabolic trough collector based on nanofluid

Author

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  • Mohammad Zadeh, P.
  • Sokhansefat, T.
  • Kasaeian, A.B.
  • Kowsary, F.
  • Akbarzadeh, A.

Abstract

In recent years, many research works focused on improving and reducing the cost of solar collectors. This paper focuses upon the development of an efficient modeling and optimization of solar collector. The approach adopted in modeling utilizes a parabolic trough collector absorber tube with non-uniform heat flux, fully developed mixed convection flow and Al2O3/synthetic oil as a base fluid. Optimization of thermal analysis in a solar trough collector using nanofluid is non-convex, non-linear and computationally intensive process. In order to overcome these difficulties, a hybrid optimization method involving GA (genetic algorithm) and SQP (sequential quadratic programming) is introduced in the optimization process. The optimization problem used in this study involves maximization of a non-dimensional correlation consisting of Nusselt number and pressure drop with Reynolds and Richardson number which are used as design constraints. The methodology implemented within an integrated environment involving Matlab, Gambit and Fluent. The results obtained show that heat transfer enhancement has a direct relationship with the nanoparticle concentration ratio whereas it has inverse relationship with the operational temperature. In addition, the results show that the proposed methodology provides an effective way of solving thermal analysis in a solar parabolic trough collectors based on simulation models.

Suggested Citation

  • Mohammad Zadeh, P. & Sokhansefat, T. & Kasaeian, A.B. & Kowsary, F. & Akbarzadeh, A., 2015. "Hybrid optimization algorithm for thermal analysis in a solar parabolic trough collector based on nanofluid," Energy, Elsevier, vol. 82(C), pages 857-864.
    • Handle: RePEc:eee:energy:v:82:y:2015:i:c:p:857-864
    DOI: 10.1016/j.energy.2015.01.096
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    References listed on IDEAS

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    1. He, Ya-Ling & Xiao, Jie & Cheng, Ze-Dong & Tao, Yu-Bing, 2011. "A MCRT and FVM coupled simulation method for energy conversion process in parabolic trough solar collector," Renewable Energy, Elsevier, vol. 36(3), pages 976-985.
    2. Cheng, Z.D. & He, Y.L. & Cui, F.Q. & Du, B.C. & Zheng, Z.J. & Xu, Y., 2014. "Comparative and sensitive analysis for parabolic trough solar collectors with a detailed Monte Carlo ray-tracing optical model," Applied Energy, Elsevier, vol. 115(C), pages 559-572.
    3. Yousefi, Tooraj & Veysi, Farzad & Shojaeizadeh, Ehsan & Zinadini, Sirus, 2012. "An experimental investigation on the effect of Al2O3–H2O nanofluid on the efficiency of flat-plate solar collectors," Renewable Energy, Elsevier, vol. 39(1), pages 293-298.
    4. Silva, R. & Berenguel, M. & Pérez, M. & Fernández-Garcia, A., 2014. "Thermo-economic design optimization of parabolic trough solar plants for industrial process heat applications with memetic algorithms," Applied Energy, Elsevier, vol. 113(C), pages 603-614.
    5. de Risi, A. & Milanese, M. & Laforgia, D., 2013. "Modelling and optimization of transparent parabolic trough collector based on gas-phase nanofluids," Renewable Energy, Elsevier, vol. 58(C), pages 134-139.
    6. Ho, C.D. & Chen, T.C., 2006. "The recycle effect on the collector efficiency improvement of double-pass sheet-and-tube solar water heaters with external recycle," Renewable Energy, Elsevier, vol. 31(7), pages 953-970.
    7. Al-Madani, Hussain, 2006. "The performance of a cylindrical solar water heater," Renewable Energy, Elsevier, vol. 31(11), pages 1751-1763.
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