Global optimization of solar power tower systems using a Monte Carlo algorithm: Application to a redesign of the PS10 solar thermal power plant - IMT Mines Albi-Carmaux Accéder directement au contenu
Article Dans Une Revue Renewable Energy Année : 2018

Global optimization of solar power tower systems using a Monte Carlo algorithm: Application to a redesign of the PS10 solar thermal power plant

Résumé

There is a need to enhance the performance of Solar Power Tower (SPT) systems in view of their significant capital costs. In this context, the preliminary design step is of great interest as improvements here can reduce the global cost. This paper presents an optimization method that approaches optimal SPT system design through the coupling of a Particle Swarm Optimization algorithm and a Monte Carlo algorithm, in order to assess both the yearly heliostat field optical efficiency and the thermal energy collected annually by an SPT system. This global optimization approach is then validated on a well-known SPT system, ie the PS10 Solar Thermal Power plant. First, the direct model is compared to in-situ measurements and simulation results. Then, the PS10 heliostat field is redesigned using the optimization tool. This redesign step leads to an annual gain between 3.34% and 23.5% in terms of the thermal energy collected and up to about 9% in terms of the heliostat field optical efficiency from case to case.
Fichier principal
Vignette du fichier
Manuscript.pdf (1.51 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01660563 , version 1 (26-01-2018)
hal-01660563 , version 2 (02-06-2023)

Identifiants

Citer

Olivier Farges, Jean-Jacques Bézian, Mouna El-Hafi. Global optimization of solar power tower systems using a Monte Carlo algorithm: Application to a redesign of the PS10 solar thermal power plant. Renewable Energy, 2018, 119, pp.345-353. ⟨10.1016/j.renene.2017.12.028⟩. ⟨hal-01660563v1⟩
759 Consultations
1448 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More