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Thermo-economic triple-objective optimization of a solar chimney power plant using genetic algorithms

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  • Gholamalizadeh, Ehsan
  • Kim, Man-Hoe

Abstract

A triple-objective design method was developed for a solar chimney power plant system that simultaneously optimizes the expenditure, total efficiency, and power output. A multi-objective genetic algorithm was used to obtain the best combination of geometric parameters of the power plant. The following design parameters were selected: collector radius, chimney height, and chimney diameter. Two different solar chimney power plant configurations were considered: the Kerman pilot power plant and Manzanares prototype power plant. A set of possible optimal solutions (Pareto optimal set) was obtained. Based on the optimal solutions, the best configuration for each power plant was selected. The performance and expenditure of the optimal solutions and the built power plants were compared. The results showed that the increment of the power output was higher than the increment of the expenditure in the optimal configuration. A parametric study was conducted to evaluate the effects of changing design parameters on different objective functions. This paper provides a very useful design and optimization methodology for solar chimney power plant systems.

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  • Gholamalizadeh, Ehsan & Kim, Man-Hoe, 2014. "Thermo-economic triple-objective optimization of a solar chimney power plant using genetic algorithms," Energy, Elsevier, vol. 70(C), pages 204-211.
    • Handle: RePEc:eee:energy:v:70:y:2014:i:c:p:204-211
    DOI: 10.1016/j.energy.2014.03.115
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    References listed on IDEAS

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    10. Ehsan Gholamalizadeh & Jae Dong Chung, 2017. "A Comparative Study of CFD Models of a Real Wind Turbine in Solar Chimney Power Plants," Energies, MDPI, vol. 10(10), pages 1-11, October.
    11. Zuo, Lu & Yan, Ziyang & Dai, Pengzhan & Zhou, Tian & Qu, Bo & Yuan, Yue & Ge, Yunting, 2022. "Experimental research on the operation characteristics of solar chimney power plant combined with distillation (SCPPCD)," Applied Energy, Elsevier, vol. 326(C).
    12. Vieira, R.S. & Petry, A.P. & Rocha, L.A.O. & Isoldi, L.A. & dos Santos, E.D., 2017. "Numerical evaluation of a solar chimney geometry for different ground temperatures by means of constructal design," Renewable Energy, Elsevier, vol. 109(C), pages 222-234.
    13. Ming, Tingzhen & Wu, Yongjia & de_Richter, Renaud K. & Liu, Wei & Sherif, S.A., 2017. "Solar updraft power plant system: A brief review and a case study on a new system with radial partition walls in its collector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 472-487.
    14. Zuo, Lu & Liu, Zihan & Dai, Pengzhan & Qu, Ning & Ding, Ling & Zheng, Yuan & Ge, Yunting, 2021. "Economic performance evaluation of the wind supercharging solar chimney power plant combining desalination and waste heat after parameter optimization," Energy, Elsevier, vol. 227(C).
    15. Ehsan Gholamalizadeh & Man-Hoe Kim, 2016. "Multi-Objective Optimization of a Solar Chimney Power Plant with Inclined Collector Roof Using Genetic Algorithm," Energies, MDPI, vol. 9(11), pages 1-14, November.

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