Wind turbine wake models' evaluation for different downstream locations

The land use limitations, especially for onshore applications, have led modern Wind Turbines (WTs) to be aggregated in wind parks under the scope of minimizing the necessary area required. Within this framework, the trustworthy prediction of the wind speed deficiency downstream the WTs' hub (kn...

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Autores principales:	Triantafyllou Panagiotis, Kaldellis John K.
Formato:	article
Lenguaje:	EN
Publicado:	EDP Sciences 2021
Materias:	Energy conservation TJ163.26-163.5 Renewable energy sources TJ807-830
Acceso en línea:	https://doaj.org/article/3063504762d54119b014bd14de05164f
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spelling	oai:doaj.org-article:3063504762d54119b014bd14de05164f2021-11-08T15:22:02ZWind turbine wake models' evaluation for different downstream locations2493-943910.1051/rees/2021046https://doaj.org/article/3063504762d54119b014bd14de05164f2021-01-01T00:00:00Zhttps://www.rees-journal.org/articles/rees/full_html/2021/01/rees210047/rees210047.htmlhttps://doaj.org/toc/2493-9439The land use limitations, especially for onshore applications, have led modern Wind Turbines (WTs) to be aggregated in wind parks under the scope of minimizing the necessary area required. Within this framework, the trustworthy prediction of the wind speed deficiency downstream the WTs' hub (known also as the “wake effect”) and the meticulous wind park micrositing are of uppermost importance for the optimized WTs siting across the available land area. In this context, substantial effort has been made by the academic and research community, contributing to the deployment of several analytical, numerical and semi-empirical wake models, attempting to estimate the wind speed values at different locations downstream a WT. The accuracy of several semi-empirical and analytical wake models, serving also as the basis for pertinent commercial software development, is investigated in the present work, by comparing their outcome with experimental data from a past research work that concerns the wake flow. The dimensionless streamwise distance (known also with the term “downstream distance”) from the WT's hub is used as benchmark in order to categorize and evaluate the calculation results. A dedicated comparison between the wind speed cases investigated is conducted, striving to properly assess the wake models' prediction accuracy. The notable findings obtained for the wake models examined designate the requirement for subsequent research to enlighten the wake effect dynamic behavior.Triantafyllou PanagiotisKaldellis John K.EDP SciencesarticleEnergy conservationTJ163.26-163.5Renewable energy sourcesTJ807-830ENRenewable Energy and Environmental Sustainability, Vol 6, p 40 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Energy conservation TJ163.26-163.5 Renewable energy sources TJ807-830
spellingShingle	Energy conservation TJ163.26-163.5 Renewable energy sources TJ807-830 Triantafyllou Panagiotis Kaldellis John K. Wind turbine wake models' evaluation for different downstream locations
description	The land use limitations, especially for onshore applications, have led modern Wind Turbines (WTs) to be aggregated in wind parks under the scope of minimizing the necessary area required. Within this framework, the trustworthy prediction of the wind speed deficiency downstream the WTs' hub (known also as the “wake effect”) and the meticulous wind park micrositing are of uppermost importance for the optimized WTs siting across the available land area. In this context, substantial effort has been made by the academic and research community, contributing to the deployment of several analytical, numerical and semi-empirical wake models, attempting to estimate the wind speed values at different locations downstream a WT. The accuracy of several semi-empirical and analytical wake models, serving also as the basis for pertinent commercial software development, is investigated in the present work, by comparing their outcome with experimental data from a past research work that concerns the wake flow. The dimensionless streamwise distance (known also with the term “downstream distance”) from the WT's hub is used as benchmark in order to categorize and evaluate the calculation results. A dedicated comparison between the wind speed cases investigated is conducted, striving to properly assess the wake models' prediction accuracy. The notable findings obtained for the wake models examined designate the requirement for subsequent research to enlighten the wake effect dynamic behavior.
format	article
author	Triantafyllou Panagiotis Kaldellis John K.
author_facet	Triantafyllou Panagiotis Kaldellis John K.
author_sort	Triantafyllou Panagiotis
title	Wind turbine wake models' evaluation for different downstream locations
title_short	Wind turbine wake models' evaluation for different downstream locations
title_full	Wind turbine wake models' evaluation for different downstream locations
title_fullStr	Wind turbine wake models' evaluation for different downstream locations
title_full_unstemmed	Wind turbine wake models' evaluation for different downstream locations
title_sort	wind turbine wake models' evaluation for different downstream locations
publisher	EDP Sciences
publishDate	2021
url	https://doaj.org/article/3063504762d54119b014bd14de05164f
work_keys_str_mv	AT triantafylloupanagiotis windturbinewakemodelsevaluationfordifferentdownstreamlocations AT kaldellisjohnk windturbinewakemodelsevaluationfordifferentdownstreamlocations
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Wind turbine wake models' evaluation for different downstream locations

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