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Industrial application of genetic algorithms to cost reduction of a wind turbine equipped with a tuned mass damper
dc.contributor.author | Pons Prats, Jordi |
dc.contributor.author | Coma Company, Martí |
dc.contributor.author | Betran, Jaume |
dc.contributor.author | Roca, Xavier |
dc.contributor.author | Bugeda Castelltort, Gabriel |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Física |
dc.contributor.other | Universitat Politècnica de Catalunya. Doctorat en Ciència i Tecnologia Aeroespacials |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental |
dc.date.accessioned | 2021-03-23T16:33:54Z |
dc.date.available | 2021-03-23T16:33:54Z |
dc.date.issued | 2017 |
dc.identifier.citation | Pons-Prats, J. [et al.]. Industrial application of genetic algorithms to cost reduction of a wind turbine equipped with a tuned mass damper. A: International Conference on Evolutionary and Deterministic Methods for Design, Optimization and Control with Applications to Industrial and Societal Problems. "Evolutionary and Deterministic Methods for Design Optimization and Control With Applications to Industrial and Societal Problems". 2017, p. 419-436. ISBN 978-3-319-89890-2. DOI 10.1007/978-3-319-89890-2_27. |
dc.identifier.isbn | 978-3-319-89890-2 |
dc.identifier.uri | http://hdl.handle.net/2117/342309 |
dc.description.abstract | Design optimization has already become an important tool in industry. The benefits are clear, but several drawbacksare still present, being the main one the computational cost. The numerical simulation involved in the solution of eachevaluation is usually costly, but time and computational resources are limited. Computational resources can be easilyincreased because, nowadays, its cost is rapidly decreasing. Anyway, there is always an upper limit due to financialconstraints. On the other hand, time is key in industry. Lead time must be reduced to ensure competitiveness. It meansthe design stage has a reduced time slo |
dc.format.extent | 18 p. |
dc.language.iso | eng |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Energies::Energia eòlica |
dc.subject.lcsh | Wind turbines |
dc.subject.other | RMOP |
dc.subject.other | Genetic Algorithms |
dc.subject.other | Optimization platform |
dc.subject.other | Wind Energy |
dc.subject.other | Wind Turbine design |
dc.subject.other | Tuned mass damper. |
dc.title | Industrial application of genetic algorithms to cost reduction of a wind turbine equipped with a tuned mass damper |
dc.type | Conference report |
dc.subject.lemac | Turbines -- Mètodes numèrics |
dc.contributor.group | Universitat Politècnica de Catalunya. GMNE - Grup de Mètodes Numèrics en Enginyeria |
dc.contributor.group | Universitat Politècnica de Catalunya. RMEE - Grup de Resistència de Materials i Estructures en l'Enginyeria |
dc.identifier.doi | 10.1007/978-3-319-89890-2_27 |
dc.relation.publisherversion | https://www.esteco.com/corporate/eurogen-2017 |
dc.rights.access | Open Access |
local.identifier.drac | 28703436 |
dc.description.version | Postprint (published version) |
local.citation.author | Pons-Prats, J.; Coma, M.; Betran, J.; Roca, X.; Bugeda, G. |
local.citation.contributor | International Conference on Evolutionary and Deterministic Methods for Design, Optimization and Control with Applications to Industrial and Societal Problems |
local.citation.publicationName | Evolutionary and Deterministic Methods for Design Optimization and Control With Applications to Industrial and Societal Problems |
local.citation.startingPage | 419 |
local.citation.endingPage | 436 |