Mathematical Modeling of the Mojave Solar Plants

Antonio J. Gallego, Manuel Macías, Fernando de Castilla and Eduardo F. Camacho
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Antonio J. Gallego: Departamento de Ingeniería de Sistemas y Automática, Universidad de Sevilla, Camino de los Descubrimientos s/n, 41092 Sevilla, Spain
Manuel Macías: Atlantica Yield, Albert Einstein s/n, 41092 Sevilla, Spain
Fernando de Castilla: Atlantica Yield, Albert Einstein s/n, 41092 Sevilla, Spain
Eduardo F. Camacho: Departamento de Ingeniería de Sistemas y Automática, Universidad de Sevilla, Camino de los Descubrimientos s/n, 41092 Sevilla, Spain

Energies, 2019, vol. 12, issue 21, 1-20

Abstract: Competitiveness of solar energy is one of current main research topics. Overall efficiency of solar plants can be improved by using advanced control strategies. To design and tuning properly advanced control strategies, a mathematical model of the plant is needed. The model has to fulfill two important points: (1) It has to reproduce accurately the dynamics of the real system; and (2) since the model is used to test advanced control strategies, its computational burden has to be as low as possible. This trade-off is essential to optimize the tuning process of the controller and minimize the commissioning time. In this paper, the modeling of the large-scale commercial solar trough plants Mojave Beta and Mojave Alpha is presented. These two models were used to test advanced control strategies to operate the plants.

Keywords: solar energy; parabolic trough; modeling; distributed parameter model; black-box models (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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