Optimization of the size of a solar thermal electricity plant by means of genetic algorithms

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, 36 (11). pp. 3146-3153. ISSN 0960-1481

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Official URL: http://www.sciencedirect.com/science/article/pii/S...

Related URL: http://dx.doi.org/10.1016/j.renene.2011.03.018


Solar thermal electricity technologies are attractive alternatives to produce electricity by means of a renewable source. One of these technologies is parabolic trough collectors. In Spain, the sale of solar electricity to the national grid is primed. There are three main parameters that affect the behaviour of these plants: area of solar collector field, capacity of thermal storage tanks and power of the auxiliary system. In this paper, a simplified model of the plant is used to optimize the size of its components that produces the maximum yearly profit. The use of traditional methods of optimization is not possible and genetic algorithms have been used. An important feature of the model is that the minimum level of the electricity production of the block of power can be fixed. Once the optimization has been performed, the traditional parameters that characterize the dimension of the plant are analysed (the solar multiple and the capacity factor). For a gross power of 50 MW, the optimum collector area varies between 583,000 m2 and 749,860 m2 with a thermal storage between 6.55 h and 13.46 h respectively. The economic benefit is always higher than 19.30 M€ per year and the cost of the electricity produced is about 18.5 c€/kWh.

Item Type:Article
Source:Copyright of this article belongs to Elsevier Science.
Keywords:Solar Thermal Electricity; Optimization; Genetic Algorithms
ID Code:81001
Deposited On:02 Feb 2012 15:07
Last Modified:02 Feb 2012 15:07

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