The Importance of Wake Meandering on Wind Turbine Fatigue Loads in Wake

Considering loads when optimizing wind-farm layouts or designing farm-control strategies is important, but the computational cost of using high-fidelity wake models in the loop can be prohibitively high. Using simpler models that consider only the spatial variation of turbulence statistics is a temp...

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Autores principales:	Jennifer Marie Rinker, Esperanza Soto Sagredo, Leonardo Bergami
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	wind turbine loads wind turbine wakes turbulence Technology T
Acceso en línea:	https://doaj.org/article/00e3e3ecf4cd4d66b9128c25a0fab542
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spelling	oai:doaj.org-article:00e3e3ecf4cd4d66b9128c25a0fab5422021-11-11T16:02:55ZThe Importance of Wake Meandering on Wind Turbine Fatigue Loads in Wake10.3390/en142173131996-1073https://doaj.org/article/00e3e3ecf4cd4d66b9128c25a0fab5422021-11-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/21/7313https://doaj.org/toc/1996-1073Considering loads when optimizing wind-farm layouts or designing farm-control strategies is important, but the computational cost of using high-fidelity wake models in the loop can be prohibitively high. Using simpler models that consider only the spatial variation of turbulence statistics is a tempting alternative, but the accuracy of these models with respect to the aeroelastic response is not well understood. This paper therefore highlights the effect of replacing wake meandering with spatially varying statistics (“profile functions”) in the inflow to a downstream turbine. Profile functions at different downstream and lateral locations are extracted from a large-eddy simulation with an upstream turbine and compared with two lower-fidelity models: one that prescribes both the mean and standard deviation of the turbulence and one that prescribes only the mean. The aeroelastic response of an NREL 5 MW wind turbine is simulated with the three different wake-model fidelities, and various quantities of interest are compared. The mean values for the power and rotor speed for the medium-and low-fidelity model match well, but the accuracy of the fatigue loads varies greatly depending on the load channel. Prescribing the profile function for the standard deviation is only beneficial for the tower-base fore-aft moment; all other DELs had similar accuracies for both the medium- and low-fidelity models. The paper concludes that blade DELs can be estimated using these simple models with some accuracy, but care should be taken with the load channels related to the shaft torsion and tower-base fore-aft bending moment.Jennifer Marie RinkerEsperanza Soto SagredoLeonardo BergamiMDPI AGarticlewind turbine loadswind turbine wakesturbulenceTechnologyTENEnergies, Vol 14, Iss 7313, p 7313 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	wind turbine loads wind turbine wakes turbulence Technology T
spellingShingle	wind turbine loads wind turbine wakes turbulence Technology T Jennifer Marie Rinker Esperanza Soto Sagredo Leonardo Bergami The Importance of Wake Meandering on Wind Turbine Fatigue Loads in Wake
description	Considering loads when optimizing wind-farm layouts or designing farm-control strategies is important, but the computational cost of using high-fidelity wake models in the loop can be prohibitively high. Using simpler models that consider only the spatial variation of turbulence statistics is a tempting alternative, but the accuracy of these models with respect to the aeroelastic response is not well understood. This paper therefore highlights the effect of replacing wake meandering with spatially varying statistics (“profile functions”) in the inflow to a downstream turbine. Profile functions at different downstream and lateral locations are extracted from a large-eddy simulation with an upstream turbine and compared with two lower-fidelity models: one that prescribes both the mean and standard deviation of the turbulence and one that prescribes only the mean. The aeroelastic response of an NREL 5 MW wind turbine is simulated with the three different wake-model fidelities, and various quantities of interest are compared. The mean values for the power and rotor speed for the medium-and low-fidelity model match well, but the accuracy of the fatigue loads varies greatly depending on the load channel. Prescribing the profile function for the standard deviation is only beneficial for the tower-base fore-aft moment; all other DELs had similar accuracies for both the medium- and low-fidelity models. The paper concludes that blade DELs can be estimated using these simple models with some accuracy, but care should be taken with the load channels related to the shaft torsion and tower-base fore-aft bending moment.
format	article
author	Jennifer Marie Rinker Esperanza Soto Sagredo Leonardo Bergami
author_facet	Jennifer Marie Rinker Esperanza Soto Sagredo Leonardo Bergami
author_sort	Jennifer Marie Rinker
title	The Importance of Wake Meandering on Wind Turbine Fatigue Loads in Wake
title_short	The Importance of Wake Meandering on Wind Turbine Fatigue Loads in Wake
title_full	The Importance of Wake Meandering on Wind Turbine Fatigue Loads in Wake
title_fullStr	The Importance of Wake Meandering on Wind Turbine Fatigue Loads in Wake
title_full_unstemmed	The Importance of Wake Meandering on Wind Turbine Fatigue Loads in Wake
title_sort	importance of wake meandering on wind turbine fatigue loads in wake
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/00e3e3ecf4cd4d66b9128c25a0fab542
work_keys_str_mv	AT jennifermarierinker theimportanceofwakemeanderingonwindturbinefatigueloadsinwake AT esperanzasotosagredo theimportanceofwakemeanderingonwindturbinefatigueloadsinwake AT leonardobergami theimportanceofwakemeanderingonwindturbinefatigueloadsinwake AT jennifermarierinker importanceofwakemeanderingonwindturbinefatigueloadsinwake AT esperanzasotosagredo importanceofwakemeanderingonwindturbinefatigueloadsinwake AT leonardobergami importanceofwakemeanderingonwindturbinefatigueloadsinwake
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The Importance of Wake Meandering on Wind Turbine Fatigue Loads in Wake

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