Conference article

Mathematical Conditions in Heliostat Models for Deterministic Computation of Setpoints

Moisés Villegas-Vallecillos
Departamento de Matemáticas, Universidad de Cádiz, Spain

Luis J. Yebra
Plataforma Solar de Almería, CIEMAT, Spain / CIESOL, Joint Centre of the University of Almería-CIEMAT, Spain

Download articlehttp://dx.doi.org/10.3384/ecp17142919

Published in: Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016

Linköping Electronic Conference Proceedings 142:135, p. 919-925

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Published: 2018-12-19

ISBN: 978-91-7685-399-3

ISSN: 1650-3686 (print), 1650-3740 (online)

Abstract

In this paper a set of mathematical conditions on heliostat models is presented. Its purpose is to guarantee a deterministic computation of the heliostat setpoints in azimuth (ß) and elevation (a). In Central Receiver (CR) Concentrating Solar Power (CSP) plants, thousands of heliostats are continuously operated, and the updating of their setpoints is required frequently. For this reason, the ful?llment of some mathematical conditions of the mentioned type is important. In a simpli?ed approach, during the operation, each heliostat re?ects in its mirror a ray from the sun that impacts on a given aiming point P. This aiming point is assumed to be higher than the heliostat position, in the tower receiver. If v is the incident solar vector, x is the orthogonal vector of the heliostat re?ective plane and f (x) is the center of the heliostat mirror, then a system of equations with unknown x is arisen. Imposing certain conditions on f , we can ensure the existence and uniqueness of solution of this system, and provide a sequence converging to such solution. Furthermore, we offer a numerical method for approximating the solution in a deterministic form, which can be computed with the requirements of hard real time systems.

Keywords

central receiver concentrating solar thermal plants, heliostat setpoint, Banach’s fixed point theorem, Newton-Raphson’s numerical method, deterministic computation

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