Identification of Optimal Parameters for a Small-Scale Compressed-Air Energy Storage System Using Real Coded Genetic Algorithm

Thomas Guewouo 1, 2 Lingai Luo 3 Dominique Tarlet 2 Mohand Tazerout 4
1 MSME - Laboratoire de Modélisation et Simulation Multi Echelle
2 LTN - Laboratoire de thermocinétique [Nantes]
3 LOCIE - Laboratoire Optimisation de la Conception et Ingénierie de l'Environnement
4 Mines Nantes - Mines Nantes
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Journal articles
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https://hal-upec-upem.archives-ouvertes.fr/hal-01996377
Contributor : Stéphane Vincent <>
Submitted on : Monday, January 28, 2019 - 12:38:12 PM
Last modification on : Tuesday, October 15, 2019 - 1:31:12 AM

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  • HAL Id : hal-01996377, version 1

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UPEC-UPEM | CNRS | UNIV-SAVOIE | UNIV-NANTES | MSME_TCM | MSME | UGA | LTEN | UPEC | LOCIE

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Thomas Guewouo, Lingai Luo, Dominique Tarlet, Mohand Tazerout. Identification of Optimal Parameters for a Small-Scale Compressed-Air Energy Storage System Using Real Coded Genetic Algorithm. Energies, MDPI, 2019, 12 (3), pp.377. ⟨hal-01996377⟩

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