dc.creator | González Rodríguez, Ángel Gaspar | es |
dc.creator | Serrano-González, Javier | es |
dc.creator | Burgos Payán, Manuel | es |
dc.creator | Riquelme Santos, Jesús Manuel | es |
dc.date.accessioned | 2021-06-21T14:19:11Z | |
dc.date.available | 2021-06-21T14:19:11Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | González-Rodríguez, Á.G., Serrano-González, J., Burgos Payán, M. y Riquelme Santos, J.M. (2021). Realistic Optimization of Parallelogram-Shaped Offshore Wind Farms Considering Continuously Distributed Wind Resources. Energies, 14 (10), Article number 2895. | |
dc.identifier.issn | 996-1073 | es |
dc.identifier.uri | https://hdl.handle.net/11441/114698 | |
dc.description | Article number 2895 | es |
dc.description.abstract | Offshore wind power plants are becoming a realistic option for the renewable production
of electricity. As an improvement tool to the profitability of OWFs, this work presents the first
complete non-genetic (and non-binary) evolutionary algorithm to optimize the location, size and
layout of a parallelogram-shaped offshore wind farm, as the arrangement that is becoming an
standard for offshore wind farms. It has been tested in the HR-I site. Most relevant economic
data influencing the investment profitability have been taken into account. In addition, the paper
introduces a new approach to offshore wind farm optimization based on a continuous behaviour
of varying wind conditions, which allows a more realistic estimation of the energy produced. The
proposed optimization approach has been tested based on the available information from HR-I.
Obtained solutions present similar values to the actual offshore wind farm in terms of investment
and annual energy produced, but differs with respect to the optimal orientation and profitability.
The contributions of this paper are: it details the first method to interpolate a continuous distribution
of wind rose and Weibull parameters; it presents the first algorithm to obtain a realistic optimal
solution to the location+sizing+micro-siting problem for regular arrangements; it is prepared to work
with the most complete set of economic, bathymetric, and wind data. | es |
dc.description.sponsorship | FEDER ENE2016-77650-R | es |
dc.description.sponsorship | Red CYTED 718RT0564 | es |
dc.description.sponsorship | CDTI CER-20191019 | es |
dc.format | application/pdf | es |
dc.format.extent | 20 p. | es |
dc.language.iso | eng | es |
dc.publisher | MDPI | es |
dc.relation.ispartof | Energies, 14 (10), Article number 2895. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Offshore wind farms | es |
dc.subject | Non-genetic evolutionary algorithm | es |
dc.subject | Macro-siting | es |
dc.subject | Layout optimization | es |
dc.subject | Parallelogram-shaped wind farms | es |
dc.subject | Continuous distribution | es |
dc.subject | Investment costs | es |
dc.title | Realistic Optimization of Parallelogram-Shaped Offshore Wind Farms Considering Continuously Distributed Wind Resources | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ingeniería Eléctrica | es |
dc.relation.projectID | ENE2016-77650-R | es |
dc.relation.projectID | 718RT0564 | es |
dc.relation.projectID | CER-20191019 | es |
dc.relation.publisherversion | https://www.mdpi.com/1996-1073/14/10/2895 | es |
dc.identifier.doi | 10.3390/en14102895 | es |
dc.journaltitle | Energies | es |
dc.publication.volumen | 14 | es |
dc.publication.issue | 10 | es |
dc.publication.initialPage | Article number 2895 | es |