Mostrar el registro sencillo del ítem

Artículo

dc.creatorTapia Córdoba, Alejandroes
dc.creatorMillán Gata, Pabloes
dc.creatorGutiérrez Reina, Danieles
dc.date.accessioned2023-01-27T09:08:13Z
dc.date.available2023-01-27T09:08:13Z
dc.date.issued2022-08-14
dc.identifier.citationTapia Córdoba, A., Millán Gata, P. y Gutiérrez Reina, D. (2022). Optimizing the Layout of Run-of-River Powerplants Using Cubic Hermite Splines and Genetic Algorithms. Applied Sciences, 12 (16), 8133. https://doi.org/10.3390/app12168133.
dc.identifier.issn2076-3417es
dc.identifier.urihttps://hdl.handle.net/11441/141985
dc.description.abstractDespite the clear advantages of mini hydropower technology to provide energy access in remote areas of developing countries, the lack of resources and technical training in these contexts usually lead to suboptimal installations that do not exploit the full potential of the environment. To address this drawback, the present work proposes a novel method to optimize the design of mini-hydropower plants with a robust and efficient formulation. The approach does not involve typical 2D simplifications of the terrain penstock layout. On the contrary, the problem is formulated considering arbitrary three-dimensional terrain profiles and realistic penstock layouts taking into account the bending effect. To this end, the plant layout is modeled on a continuous basis through the cubic Hermite interpolation of a set of key points, and the optimization problem is addressed using a genetic algorithm with tailored generation, mutation and crossover operators, especially designed to improve both the exploration and intensification. The approach is successfully applied to a real-case scenario with real topographic data, demonstrating its capability of providing optimal solutions while dealing with arbitrary terrain topography. Finally, a comparison with a previous discrete approach demonstrated that this algorithm can lead to a noticeable cost reduction for the problem studied.es
dc.formatapplication/pdfes
dc.format.extent19 p.es
dc.language.isoenges
dc.publisherMDPIes
dc.relation.ispartofApplied Sciences, 12 (16), 8133.
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectMicro-hyropower plantes
dc.subjectLayout optimizationes
dc.subjectHermite splineses
dc.subjectGenetic algorithmes
dc.titleOptimizing the Layout of Run-of-River Powerplants Using Cubic Hermite Splines and Genetic Algorithmses
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Ingeniería Electrónicaes
dc.relation.publisherversionhttps://www.mdpi.com/2076-3417/12/16/8133es
dc.identifier.doi10.3390/app12168133es
dc.contributor.groupUniversidad de Sevilla. TIC201: ACE-TIes
idus.validador.notaThis article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.es
dc.journaltitleApplied Scienceses
dc.publication.volumen12es
dc.publication.issue16es
dc.publication.initialPage8133es

FicherosTamañoFormatoVerDescripción
Tapia_2022_Applied Sciences_ ...2.429MbIcon   [PDF] Ver/Abrir  

Este registro aparece en las siguientes colecciones

Mostrar el registro sencillo del ítem

Atribución 4.0 Internacional
Excepto si se señala otra cosa, la licencia del ítem se describe como: Atribución 4.0 Internacional