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Simplified Formulae for the Estimation of Offshore Wind Turbines Clutter on Marine Radars

The potential impact that offshore wind farms may cause on nearby marine radars should be considered before the wind farm is installed. Strong radar echoes from the turbines may degrade radars' detection capability in the area around the wind farm. Although conventional computational methods pr...

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Detalles Bibliográficos
Autores principales: Grande, Olatz, Cañizo, Josune, Angulo, Itziar, Jenn, David, Danoon, Laith R., Guerra, David, de la Vega, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3977105/
https://www.ncbi.nlm.nih.gov/pubmed/24782682
http://dx.doi.org/10.1155/2014/982508
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author Grande, Olatz
Cañizo, Josune
Angulo, Itziar
Jenn, David
Danoon, Laith R.
Guerra, David
de la Vega, David
author_facet Grande, Olatz
Cañizo, Josune
Angulo, Itziar
Jenn, David
Danoon, Laith R.
Guerra, David
de la Vega, David
author_sort Grande, Olatz
collection PubMed
description The potential impact that offshore wind farms may cause on nearby marine radars should be considered before the wind farm is installed. Strong radar echoes from the turbines may degrade radars' detection capability in the area around the wind farm. Although conventional computational methods provide accurate results of scattering by wind turbines, they are not directly implementable in software tools that can be used to conduct the impact studies. This paper proposes a simple model to assess the clutter that wind turbines may generate on marine radars. This method can be easily implemented in the system modeling software tools for the impact analysis of a wind farm in a real scenario.
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spelling pubmed-39771052014-04-29 Simplified Formulae for the Estimation of Offshore Wind Turbines Clutter on Marine Radars Grande, Olatz Cañizo, Josune Angulo, Itziar Jenn, David Danoon, Laith R. Guerra, David de la Vega, David ScientificWorldJournal Research Article The potential impact that offshore wind farms may cause on nearby marine radars should be considered before the wind farm is installed. Strong radar echoes from the turbines may degrade radars' detection capability in the area around the wind farm. Although conventional computational methods provide accurate results of scattering by wind turbines, they are not directly implementable in software tools that can be used to conduct the impact studies. This paper proposes a simple model to assess the clutter that wind turbines may generate on marine radars. This method can be easily implemented in the system modeling software tools for the impact analysis of a wind farm in a real scenario. Hindawi Publishing Corporation 2014-03-17 /pmc/articles/PMC3977105/ /pubmed/24782682 http://dx.doi.org/10.1155/2014/982508 Text en Copyright © 2014 Olatz Grande et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Grande, Olatz
Cañizo, Josune
Angulo, Itziar
Jenn, David
Danoon, Laith R.
Guerra, David
de la Vega, David
Simplified Formulae for the Estimation of Offshore Wind Turbines Clutter on Marine Radars
title Simplified Formulae for the Estimation of Offshore Wind Turbines Clutter on Marine Radars
title_full Simplified Formulae for the Estimation of Offshore Wind Turbines Clutter on Marine Radars
title_fullStr Simplified Formulae for the Estimation of Offshore Wind Turbines Clutter on Marine Radars
title_full_unstemmed Simplified Formulae for the Estimation of Offshore Wind Turbines Clutter on Marine Radars
title_short Simplified Formulae for the Estimation of Offshore Wind Turbines Clutter on Marine Radars
title_sort simplified formulae for the estimation of offshore wind turbines clutter on marine radars
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3977105/
https://www.ncbi.nlm.nih.gov/pubmed/24782682
http://dx.doi.org/10.1155/2014/982508
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