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Peer-reviewedCC BYSolarPACES Conference Proceedings

Optimizing Flux Distribution Map Estimation for High-Flux Applications

  • Amaia Mutuberria1
  • Olaia Itoiz1
  • Fabienne Sallaberry1
  • Marcelino Sánchez1
  1. 1National Renewable Energy Centre
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Abstract

Accurate knowledge of flux distribution in solar tower plants is essential for maximizing its efficiency, especially in high-flux applications such as solar fuel production. This work presents a simulation-based approach to efficiently generate flux maps by creating a pre-computed database with a minimal set of sun positions. This strategy significantly reduces computational costs while maintaining low error levels through interpolation paving the way for real-time aiming strategy calculations. Four interpolation methods are compared to identify the most accurate for optimizing aiming strategies and improving solar field performance. The result optimal method combines 220 precomputed flux maps with barycentric interpolation, achieving an error below 3% for elevation angles above 18°.

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Cite

BibTeXRIS
BibTeX
@article{mutuberria2026optimizing,
  title = {{Optimizing Flux Distribution Map Estimation for High-Flux Applications}},
  author = {Amaia Mutuberria and Olaia Itoiz and Fabienne Sallaberry and Marcelino Sánchez},
  journal = {SolarPACES Conference Proceedings},
  year = {2026},
  month = oct,
  doi = {10.52825/solarpaces.v4i.2980},
  url = {https://doi.org/10.52825/solarpaces.v4i.2980},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Optimizing Flux Distribution Map Estimation for High-Flux Applications
AU  - Amaia Mutuberria
AU  - Olaia Itoiz
AU  - Fabienne Sallaberry
AU  - Marcelino Sánchez
PY  - 2026
DA  - 2026/10/24
JO  - SolarPACES Conference Proceedings
DO  - 10.52825/solarpaces.v4i.2980
UR  - https://doi.org/10.52825/solarpaces.v4i.2980
AB  - Accurate knowledge of flux distribution in solar tower plants is essential for maximizing its efficiency, especially in high-flux applications such as solar fuel production. This work presents a simulation-based approach to efficiently generate flux maps by creating a pre-computed database with a minimal set of sun positions. This strategy significantly reduces computational costs while maintaining low error levels through interpolation paving the way for real-time aiming strategy calculations. Four interpolation methods are compared to identify the most accurate for optimizing aiming strategies and improving solar field performance. The result optimal method combines 220 precomputed flux maps with barycentric interpolation, achieving an error below 3% for elevation angles above 18°.
SN  - 2751-9899
ER  -