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Energies 2016, 9(11), 971; doi:10.3390/en9110971

Multi-Objective Optimization of a Solar Chimney Power Plant with Inclined Collector Roof Using Genetic Algorithm

School of Mechanical Engineering, Kyungpook National University, Daegu 41566, Korea
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Academic Editor: Antonio Calvo Hern√°ndez
Received: 11 October 2016 / Revised: 9 November 2016 / Accepted: 17 November 2016 / Published: 21 November 2016
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Abstract

This paper presents an optimization of a solar chimney power plant with an inclined collector roof using genetic algorithms. Five design parameters that affect the system performance are the collector radius, collector inlet height, collector outlet height, chimney height and diameter. A multi-objective design to simultaneously optimize three conflicting objectives including system efficiency, power output and expenditure is used. Based on this approach, obtaining the best combination of the possible geometrical parameters, performance of two built pilot power plants in Kerman (Iran) and Manzanares (Spain) are optimized thermo-economically. The heights of the zero-slope collectors of the Kerman and Manzanares systems are 2 m and 1.85 m, respectively. The results show that in the Kerman pilot the optimal collector inlet and outlet heights are 1.5 m and 2.95 m, respectively, while those optimal heights in the Manzanares prototype are 1.5 m and 4.6 m, respectively. It is found that selecting the optimal collector roof configuration in addition to the other design parameters has a significant effect in the system optimization process. View Full-Text
Keywords: solar chimney power plant; inclined collector roof; renewable energy; multi-objective genetic algorithm solar chimney power plant; inclined collector roof; renewable energy; multi-objective genetic algorithm
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Gholamalizadeh, E.; Kim, M.-H. Multi-Objective Optimization of a Solar Chimney Power Plant with Inclined Collector Roof Using Genetic Algorithm. Energies 2016, 9, 971.

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