Wind Turbulence Intensity at La Ventosa, Mexico: A Comparative Study with the IEC61400 Standards

Lopez-Villalobos, C. A.; Rodríguez-Hernández, O.; Campos–Amezcua, Rafael; Hernández-Cruz, Guillermo; Jaramillo, O.A.; Mendoza, J. L.

doi:10.3390/en11113007

Cited by 17 publications

(15 citation statements)

References 27 publications

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“…This is because this site is located at a wind farm for which wind power data is also available. Furthermore, El Progreso is located within the low‐lying region between the mountain ranges to the East and West, and the Pacific Ocean and Gulf of Mexico to the South and North known as the Isthmus of Tehauntepec, which is considered the region with the highest potential for onshore and offshore wind power production (Lopez‐Villalobos et al ., 2018). This region on the Pacific coast is home to several wind farms as there are commonly strong Northerly winds (often referred to as the Tehuanos winds) that blow across the Isthmus of Tehuantepec (e.g., Steenburgh et al ., 1998; Prósper et al ., 2019), first documented by Hurd (1929).…”

Section: Introductionmentioning

confidence: 99%

Drivers of extreme wind events in Mexico for windpower applications

Thomas

Martínez‐Alvarado

Drew

et al. 2020

Intl Journal of Climatology

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In this study, we use a k-mean clustering approach to investigate the weather patterns responsible for extreme wind speed events throughout Mexico using 40 years of the ERA-5 atmospheric reanalysis. Generally, we find a large geographical split between the weather patterns that generate the strongest winds across the country. The highest wind power production periods therefore occur at different times in different regions across the country. In the South, these are associated with cold surge events, where an anticyclone is present in the Gulf of Mexico resulting in a strong Northerly flow across the Isthmus of Tehuantepec. In the NorthEast , Easterly trade winds are responsible for the strongest wind events, whereas in the NorthWest , it is the proximity of the North Pacific High. However, the weakest winds and lowest power production periods occur at the same times for all stations with the exception of Baja California Sur, meaning that low wind power production may be unavoidable at these times. The El Niño Southern Oscillation is found to influence wind speeds at some locations across Mexico at sub-seasonal timescales. We report that statistically stronger wind speeds are observed during the Summer during El Niño months than during La Niña months for both sites in Chiapas and Oaxaca.

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Section: Introductionmentioning

confidence: 99%

Drivers of extreme wind events in Mexico for windpower applications

Thomas

Martínez‐Alvarado

Drew

et al. 2020

Intl Journal of Climatology

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“…It is a set of design requirements to ensure the proper operation and life of wind turbines and recommended for the design of wind turbines. This standard considers the Normal Turbulence Model (NTM) as a reference for fatigue load calculations for wind turbines (Lopez-Villalobos et al 2018).…”

Section: Introductionmentioning

confidence: 99%

“…However, several authors have questioned about the suitability of NTM in certain turbulent environments since it does not include the wind dynamics related to such highly turbulent sites (Lopez-Villalobos et al 2018). This is the case of Ishihara et al (2012) who after studying the characteristics of the turbulence with the IEC61400-1 standard model on an offshore site in Japan, noticed that this model underestimated the turbulence intensity.…”

Section: Introductionmentioning

confidence: 99%

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Assessment of IEC Normal Turbulence Model and Modelling of the Wind Turbulence Intensity for Small Wind Turbine Design in Tropical Area: Case of the Coastal Region of Benin

Donnou

Akpo

Hounguè

et al. 2020

Int. J. Renew. Energy Dev.

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The wind turbulence intensity observed on a site have an influence the wind turbine energy production and the lifetime of the blades. It is therefore primordial to master this parameter for the optimization of the production. So therefore, this study is interested on the modelling of the wind turbulence intensity at 10 m above the ground on the coast of Benin. Four years of wind data measured on the site of Cotonou Port Authority (PAC) from 2011 to 2014 and recorded with a temporal resolution of 10 min were used. From the transport equation of turbulent kinetic energy followed by a numerical simulation based on the Nelder-Mead algorithm developed under the Matlab software, we proposed five new models for estimating the wind turbulence intensity. The results of the different simulations reveal that four of proposed models and based on the roughness, the speed of friction and the length of Obukhov better fit the data, during the periods of January, April, June, July, August, September and December. The estimators of the Root Mean Square Error (RMSE) and the Mean Absolute Error (MAE) vary from (0.02; 0.01) in December to (0.09; 0.07) in August. As for the model which is a function of roughness and the wind shear coefficient (expressed only according to the wind speed), it gives better performance whatever the time of the year and the atmosphere stability conditions. The estimations errors are included between (0.02; 0.01) obtained in December and (0.08; 0.06) observed in March. A comparative study between the existing models in the literature and the best model proposed in this study showed that only this model gives the best adjustment with the data. It can therefore be used on the sites where turbulence is influenced by the roughness and the atmosphere stability. Finally, from this model a new wind turbine design class has been proposed for the site of Cotonou. It takes into account the actual levels of turbulence observed and thus allow to optimize the energy production. ©2020. CBIORE-IJRED. All rights reserved

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“…To cope with this difficulty, there are simple approaches to extrapolating wind speed, based on Monin-Obukhov theory and applicable only in the surface layer [2,3]. It is the power and logarithmic laws which give a better profile of the wind speed at altitude and developed by several authors such as [4][5][6][7][8][9][10][11][12][13][14]. Elkinton et al [4] show that their predictions in altitude are identical, although on certain sites, one model may be better than another.…”

Section: Introductionmentioning

confidence: 99%

Vertical Extrapolation of Wind Speeds Under a Neutral Atmosphere and Evaluation of the Wind Energy Potential on Different Sites in Guinea

Mathos¹,

Donnou²,

Kouchade³

et al. 2020

AJEE

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This study has been focused on the vertical profile determination of the winds under a neutral atmosphere in order to assess of the wind power density at three sites in Guinea. The power law has been used as an extrapolation model for wind speed. The Weibull function has been used to estimate the wind power density. The satellite data at 10 m above the ground recorded during the period from January 2001 to December 2015 on the sites of Conakry, Mamou and N'zérékoré sites were used. The results indicate that the Conakry site is the windiest of the three study sites with an average speed estimated at 2.83 m.s-1 at 10 m and 4.23 m.s-1 at 100 m above the ground. The form parameter k of Weibull varies from 1 to 1.8 and the scale parameter c from 1.5 to 6 m.s-1 and are both increasing functions of altitude. Finally, the quantities of energy obtained at the three sites reveal that only the Conakry site could be suitable for the installation of small wind turbines for the wind energy production. The average annual density is estimated at 45.77 W.m-2 at 10 m; 85.62 W.m-2 at 50 m and 113.31 W.m-2 at 100 m. On the Mamou and N'zérékoré sites, the pumping water from multi-blade wind turbines could be considered.

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Wind Turbulence Intensity at La Ventosa, Mexico: A Comparative Study with the IEC61400 Standards

Cited by 17 publications

References 27 publications

Drivers of extreme wind events in Mexico for windpower applications

Drivers of extreme wind events in Mexico for windpower applications

Assessment of IEC Normal Turbulence Model and Modelling of the Wind Turbulence Intensity for Small Wind Turbine Design in Tropical Area: Case of the Coastal Region of Benin

Vertical Extrapolation of Wind Speeds Under a Neutral Atmosphere and Evaluation of the Wind Energy Potential on Different Sites in Guinea

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