Next Article in Journal
A Switching Frequency Optimized Space Vector Pulse Width Modulation (SVPWM) Scheme for Cascaded Multilevel Inverters
Previous Article in Journal
Incorporating Charging/Discharging Strategy of Electric Vehicles into Security-Constrained Optimal Power Flow to Support High Renewable Penetration
Article Menu
Issue 5 (May) cover image

Export Article

Open AccessArticle
Energies 2017, 10(5), 730; doi:10.3390/en10050730

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

1
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
2
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)
View Full-Text   |   Download PDF [1729 KB, uploaded 20 May 2017]   |  

Abstract

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
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

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.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top