Optimized thermal power prediction model for Heliostat fields accounting for meteorological conditions

Abstract A specific computational model and procedure for the output thermal power of a Heliostat field under Stochastic weather patterns are proposed for a conical light scenario characterized by non-uniform radiation. To lessen the associated processing complexity, a radial staggered layout is implemented in the meantime. Numerical experiments show the best scheduling plan with probabilistic weather occurrences and demonstrate the output thermal power unit area of the Heliostat under random to clear weather conditions. This research contributes to the practical prediction of thermal power output fluctuations in Concentrating Solar Power (CSP) systems under uncertain weather circumstances. Its findings have the potential to facilitate the real-time control of ancillary equipment, thereby ensuring the stability and efficiency of heat collection capabilities.

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Publication Details

Journal
Journal of Physics Conference Series
Published
2025-02-01
DOI
https://doi.org/10.1088/1742-6596/2964/1/012103
Citations
1
Primary Topic
solar cell performance optimization
Type
article
Field-Weighted Citation Impact
0.73
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article

Optimized thermal power prediction model for Heliostat fields accounting for meteorological conditions

Jie He, Yangchun Feng
1 citations
Journal of Physics Conference Series
solar cell performance optimization
0.73
article

Optimized thermal power prediction model for Heliostat fields accounting for meteorological conditions

Jie He, Yangchun Feng
article en
1 citations

Abstract

Abstract A specific computational model and procedure for the output thermal power of a Heliostat field under Stochastic weather patterns are proposed for a conical light scenario characterized by non-uniform radiation. To lessen the associated processing complexity, a radial staggered layout is implemented in the meantime. Numerical experiments show the best scheduling plan with probabilistic weather occurrences and demonstrate the output thermal power unit area of the Heliostat under random to clear weather conditions. This research contributes to the practical prediction of thermal power output fluctuations in Concentrating Solar Power (CSP) systems under uncertain weather circumstances. Its findings have the potential to facilitate the real-time control of ancillary equipment, thereby ensuring the stability and efficiency of heat collection capabilities.

Journal of Physics Conference SeriesVol. 2964(1)
Guangdong University of Technology (CN)
Openalex Percentile: Top 31%
solar cell performance optimization
0.73
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