Comparison of Aiming Point Strategy Algorithms and Their Assessment for Volumetric Solar Receivers

Elena Mellado; Olaia Itoiz; Amaia Mutuberria; Marcelino Sánchez; Justo Puerto

doi:10.52825/solarpaces.v2i.822

Authors

Elena Mellado National Renewable Energy Centre
Olaia Itoiz National Renewable Energy Centre https://orcid.org/0000-0003-4863-6932
Amaia Mutuberria National Renewable Energy Centre https://orcid.org/0000-0002-2799-029X
Marcelino Sánchez National Renewable Energy Centre
Justo Puerto Universidad de Sevilla

DOI:

https://doi.org/10.52825/solarpaces.v2i.822

Keywords:

Solar Tower Pants, Aiming Point Strategy, Optimization, Heuristic, Metaheuristic, Local Search

Abstract

The present work summarizes the work done within the scope of CATION, CHLOE, and HECTOR projects related to the aiming point strategies optimization algorithms applied to volumetric solar receivers. Several optimization methods have been applied in the literature for optimizing the aiming strategy of solar power tower plants. However, the use of these algorithms for the requirements of volumetric solar receivers and solar fuel applications has not been accomplished. Herein, the problem is formulated as a constrained optimization problem whose objective function is a combination of the total power on the receiver surface and the flux homogeneity. A comparison of the results is presented in this work. It will be seen that TABU search and SA algorithms are the most efficient in terms of computation time and, in addition, the first one shows very good results in power and spillage. The rest of the mentioned algorithms are much slower and, in general, the results are slightly worse.

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References

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