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Layout optimization of an airborne wind energy farm for maximum power generation

2020Journal article Open access
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dc.contributor.authorRoque, Luís A.C.
dc.contributor.authorPaiva, Luís Tiago
dc.contributor.authorFernandes, Manuel C.R.M.
dc.contributor.authorFontes, Dalila B.M.M.
dc.contributor.authorFontes, Fernando A.C.C.
dc.date.accessioned2022-01-13T16:50:11Z
dc.date.available2022-01-13T16:50:11Z
dc.date.issued2020
dc.description.abstractWe consider a farm of Kite Power Systems (KPS) in the field of Airborne Wind Energy (AWE), in which each kite is connected to an electric ground generator by a tether. In particular, we address the problem of selecting the best layout of such farm in a given land area such that the total electrical power generated is maximized. The kites, typically, fly at high altitudes, sweep a greater area than that of traditional wind turbines, and move within a conic shaped volume with vertex on the ground station. Therefore, constraints concerning kite collision avoidance and terrain boundaries must be considered. The efficient use of a given land area by a set of KPS depends on the location of each unit, on its tether length and on the elevation angle. In this work, we formulate the KPS farm layout optimization problem. Considering a specific KPS and wind characteristics of the given location, we study the power curve as a function of the tether length and elevation angle. Combining these results with an area with specified length and width, we develop and implement a heuristic optimization procedure to devise the layout of a KPS farm that maximizes wind power generation.pt_PT
dc.description.sponsorshipWe acknowledge the support of FEDER/COMPETE2020/NORTE2020/POCI/PIDDAC/MCTES/FCT, Portugal funds through grants SFRH/BPD/126683/2016, UID/IEEA/00147/006933–SYSTEC, PTDC/EEIAUT/2933/2014–TOCCATA, PTDC/EEI-AUT/31447/2017–UPWIND, POCI-01-0145-FEDER031821-FAST and NORTE-01-0145-FEDER-000033–STRIDE.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1016/j.egyr.2019.08.037pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/19467
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relationUID/IEEA/00147/006933–SYSTECpt_PT
dc.relationGlobal Optimisation-based Control of Hybrid Systems
dc.relationPTDC/EEI-AUT/31447/2017–UPWINDpt_PT
dc.relationPOCI-01-0145-FEDER031821-FASTpt_PT
dc.relationNORTE-01-0145-FEDER-000033–STRIDEpt_PT
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S2352484719306845pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectAirborne wind energy systemspt_PT
dc.subjectWind powerpt_PT
dc.subjectWind farmpt_PT
dc.subjectLayoutpt_PT
dc.subjectHeuristic optimizationpt_PT
dc.titleLayout optimization of an airborne wind energy farm for maximum power generationpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleGlobal Optimisation-based Control of Hybrid Systems
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//SFRH%2FBPD%2F126683%2F2016/PT
oaire.citation.endPage171pt_PT
oaire.citation.startPage165pt_PT
oaire.citation.titleEnergy Reportspt_PT
oaire.citation.volume6pt_PT
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isProjectOfPublication18125170-a8e9-44d4-a879-1787bf16ecda
relation.isProjectOfPublication.latestForDiscovery18125170-a8e9-44d4-a879-1787bf16ecda

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