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Energies 2017, 10(5), 730;

A New Methodology for Building-Up a Robust Model for Heliostat Field Flux Characterization

Department of Informatics, Agrifood Campus of International Excellence-Center for Research in Solar Energy (ceiA3-CIESOL), University of Almería, Sacramento Road s/n, La Cañada, 04120 Almería, Spain
Solar Platform of Almería-Center for Research in Energy, Environment and Technology (CIEMAT), P.O. Box 22, Tabernas, Almería E-04200, Spain
Author to whom correspondence should be addressed.
Academic Editor: Francesco Calise
Received: 2 March 2017 / Revised: 9 May 2017 / Accepted: 17 May 2017 / Published: 20 May 2017
(This article belongs to the Section Electrical Power and Energy System)
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The heliostat field of solar central receiver systems (SCRS) is formed by hundreds, even thousands, of working heliostats. Their adequate configuration and control define a currently active research line. For instance, automatic aiming methodologies of existing heliostat fields are being widely studied. In general, control techniques require a model of the system to be controlled in order to obtain an estimation of its states. However, this kind of information may not be available or may be hard to obtain for every plant to be studied. In this work, an innovative methodology for data-based analytical heliostat field characterization is proposed and described. It formalizes the way in which the behavior of a whole field can be derived from the study of its more descriptive parts. By successfully applying this procedure, the instantaneous behavior of a field could be expressed by a reduced set of expressions that can be seen as a field descriptor. It is not intended to replace real experimentation but to enhance researchers’ autonomy to build their own reliable and portable synthetic datasets at preliminary stages of their work. The methodology proposed in this paper is successfully applied to a virtual field. Only 30 heliostats out of 541 were studied to characterize the whole field. For the validation set, the average difference in power between the flux maps directly fitted from the measured information and the estimated ones is only of 0.67% (just 0.10946 kW/m2 of root-mean-square error, on average, between them). According to these results, a consistent field descriptor can be built by applying the proposed methodology, which is hence ready for use. View Full-Text
Keywords: solar central receiver systems; flux distribution; heliostat field characterization solar central receiver systems; flux distribution; heliostat field characterization

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Cruz, N.C.; Álvarez, J.D.; Redondo, J.L.; Fernández-Reche, J.; Berenguel, M.; Monterreal, R.; Ortigosa, P.M. A New Methodology for Building-Up a Robust Model for Heliostat Field Flux Characterization. Energies 2017, 10, 730.

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