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Article Dans Une Revue Solar Energy Année : 2023

Monte-Carlo estimation of geometric sensitivities in Solar Power Tower systems of flat mirrors

Résumé

Optical optimizations for a Concentrated Solar Power (CSP) system are currently limited largely to gradient-free methods, since the gradient is hard to obtain by using the existing numerical optics tools available in the community. This article aims to build new algorithms of the Monte-Carlo type, which numerically estimate the gradient of power impacting the receiver with respect to the geometric parameters that characterize the geometric status of the heliostats in the heliostats field, for a Solar Power Tower (SPT) system.Physical models will be built for the specific intensity and also for its derivatives to the geometric parameters of the heliostats, also called geometric sensitivities of intensity. Similar to the intensity but with their own models, they are regarded as physical quantities emitted, absorbed and reflected in the system. They carry the perturbations of intensity as information, corresponding to the relations between the geometric parameters and the physical events in the SPT system: blocking, spillage, shadowing, etc. These relations will be distinguished and discussed.Finally, not only the gradient but also the contributions of physical events (blocking, spillage, shadowing, etc.) to the gradient can be estimated for further sensitivity analysis and optimization processes.
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Dates et versions

hal-03997190 , version 1 (21-02-2023)

Identifiants

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Zili HE, Paule Lapeyre, Stéphane Blanco, Simon Eibner, Mouna El-Hafi, et al.. Monte-Carlo estimation of geometric sensitivities in Solar Power Tower systems of flat mirrors. Solar Energy, 2023, 253, pp.9-29. ⟨10.1016/j.solener.2023.02.013⟩. ⟨hal-03997190⟩
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