Evaluation of two microscale flow models through two wind climate generalization procedures using observations from seven masts at a complex site in Brazil

Adaiana F. Gomes da Silva*, Alfredo Peña, Andrea N. Hahmann, Edson Luiz Zaparoli

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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Abstract

Two microscale flow models, a linear and a computational fluid dynamics model solving the Reynolds-averaged Navier–Stokes equations, are evaluated using observations from seven masts at Araripe wind farms, located on a complex terrain area in the northeast region of Brazil. The evaluation is performed by generalizing the wind climate from the masts. By doing so, the effects induced by the local topography on the surface wind are removed, resulting in the background wind field, which is the ideal undisturbed flow over flat terrain with uniform roughness. Here this is performed in two ways: using the time series of 10-min mean winds and using wind speed distributions. Non-negligible differences are found on the generalized winds when comparing the results from the two methods. For both generalization methods, the results obtained using the more complex flow model show significant improvements when compared to those obtained from the linear model at few locations and for particular inflow directions only.
Original languageEnglish
Article number053306
JournalJournal of Renewable and Sustainable Energy
Volume10
Issue number5
Number of pages14
ISSN1941-7012
DOIs
Publication statusPublished - 2018

Cite this

@article{56094bb33bd3441883f6df76692e598c,
title = "Evaluation of two microscale flow models through two wind climate generalization procedures using observations from seven masts at a complex site in Brazil",
abstract = "Two microscale flow models, a linear and a computational fluid dynamics model solving the Reynolds-averaged Navier–Stokes equations, are evaluated using observations from seven masts at Araripe wind farms, located on a complex terrain area in the northeast region of Brazil. The evaluation is performed by generalizing the wind climate from the masts. By doing so, the effects induced by the local topography on the surface wind are removed, resulting in the background wind field, which is the ideal undisturbed flow over flat terrain with uniform roughness. Here this is performed in two ways: using the time series of 10-min mean winds and using wind speed distributions. Non-negligible differences are found on the generalized winds when comparing the results from the two methods. For both generalization methods, the results obtained using the more complex flow model show significant improvements when compared to those obtained from the linear model at few locations and for particular inflow directions only.",
author = "{Gomes da Silva}, {Adaiana F.} and Alfredo Pe{\~n}a and Hahmann, {Andrea N.} and {Luiz Zaparoli}, Edson",
year = "2018",
doi = "10.1063/1.5027692",
language = "English",
volume = "10",
journal = "Journal of Renewable and Sustainable Energy",
issn = "1941-7012",
publisher = "American Institute of Physics (AIP)",
number = "5",

}

Evaluation of two microscale flow models through two wind climate generalization procedures using observations from seven masts at a complex site in Brazil. / Gomes da Silva, Adaiana F.; Peña, Alfredo; Hahmann, Andrea N.; Luiz Zaparoli, Edson.

In: Journal of Renewable and Sustainable Energy, Vol. 10, No. 5, 053306, 2018.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - Evaluation of two microscale flow models through two wind climate generalization procedures using observations from seven masts at a complex site in Brazil

AU - Gomes da Silva, Adaiana F.

AU - Peña, Alfredo

AU - Hahmann, Andrea N.

AU - Luiz Zaparoli, Edson

PY - 2018

Y1 - 2018

N2 - Two microscale flow models, a linear and a computational fluid dynamics model solving the Reynolds-averaged Navier–Stokes equations, are evaluated using observations from seven masts at Araripe wind farms, located on a complex terrain area in the northeast region of Brazil. The evaluation is performed by generalizing the wind climate from the masts. By doing so, the effects induced by the local topography on the surface wind are removed, resulting in the background wind field, which is the ideal undisturbed flow over flat terrain with uniform roughness. Here this is performed in two ways: using the time series of 10-min mean winds and using wind speed distributions. Non-negligible differences are found on the generalized winds when comparing the results from the two methods. For both generalization methods, the results obtained using the more complex flow model show significant improvements when compared to those obtained from the linear model at few locations and for particular inflow directions only.

AB - Two microscale flow models, a linear and a computational fluid dynamics model solving the Reynolds-averaged Navier–Stokes equations, are evaluated using observations from seven masts at Araripe wind farms, located on a complex terrain area in the northeast region of Brazil. The evaluation is performed by generalizing the wind climate from the masts. By doing so, the effects induced by the local topography on the surface wind are removed, resulting in the background wind field, which is the ideal undisturbed flow over flat terrain with uniform roughness. Here this is performed in two ways: using the time series of 10-min mean winds and using wind speed distributions. Non-negligible differences are found on the generalized winds when comparing the results from the two methods. For both generalization methods, the results obtained using the more complex flow model show significant improvements when compared to those obtained from the linear model at few locations and for particular inflow directions only.

U2 - 10.1063/1.5027692

DO - 10.1063/1.5027692

M3 - Journal article

VL - 10

JO - Journal of Renewable and Sustainable Energy

JF - Journal of Renewable and Sustainable Energy

SN - 1941-7012

IS - 5

M1 - 053306

ER -