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On building-up a yearly characterization of a heliostat field: A new methodology and an application example
•Theoretical expansion of an existing method for heliostat field characterization.•Method to build a yearly predictor of the projected flux map of any heliostat.•Analytical models adjusted from real or simulation data with adjustable scope.•Successfully applied to a replica of CESA-I at Plataforma S...
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Published in: | Solar energy 2018-10, Vol.173, p.578-589 |
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Main Authors: | , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | •Theoretical expansion of an existing method for heliostat field characterization.•Method to build a yearly predictor of the projected flux map of any heliostat.•Analytical models adjusted from real or simulation data with adjustable scope.•Successfully applied to a replica of CESA-I at Plataforma Solar de Almería.•Detailed description of the application example including the resulting model.
The flux distribution that a heliostat field projects on its receiver must be controlled carefully. It affects the performance of the system and its operational safety. Control strategies combine the use of real measurements with models of the system. This work proposes a new methodology to characterize the behavior of a given field for a whole year. It applies data modeling techniques to generalize the flux maps projected by a subset of heliostats at different solar positions. Upon success, it allows us to analytically estimate the flux map that every heliostat would form on the receiver at any time. The resulting field model is valuable for control purposes. It is also a convenient way of sharing representations of fields. The proposed methodology has been successfully applied to a model of field CESA-I, at the Plataforma Solar de Almería (PSA). The average error obtained provides a high reduction in the variance of the estimated parameters. Thus, the field model is reliable enough to predict the flux maps generated by its heliostats at any solar position. |
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ISSN: | 0038-092X 1471-1257 |
DOI: | 10.1016/j.solener.2018.08.007 |