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Publicaciones

Optimisation of Aiming Strategies in Solar Tower Power Plants

Autores

ASHLEY, THOMAS IAN, Carrizosa, Emilio , Fernandez-Cara, Enrique

Publicación externa

Si

Medio

AIP Conf. Proc.

Alcance

Proceedings Paper

Naturaleza

Científica

Cuartil JCR

Cuartil SJR

Fecha de publicacion

01/01/2018

ISI

000481681200032

Abstract

Inclement weather effects have a direct impact on the efficiency of a Solar Power Tower plant and have the potential to damage the receiver by flash heating. An optimised aiming strategy for the heliostat field mitigates the risk of receiver damage and maximises plant efficiency. A stochastic integer programming approach is applied to optimise the aiming strategy of the heliostat field, with uncertainty in the cloud location, size and density. The optimisation technique is demonstrated with a test case and results are presented for near real-time simulation of the optimal aiming strategy.