Review of the use of numerical weather prediction (NWP) models for wind energy assessment

Sultan Al-Yahyai, Yassine Charabi, Adel Gastli

Research output: Contribution to journalArticle

85 Citations (Scopus)

Abstract

Wind energy resource assessment applications require accurate wind measurements. Most of the published studies used data from existing weather station network operated by meteorological departments. Due to relatively high cost of weather stations the resolution of the weather station network is coarse for wind energy applications. Typically, meteorological departments install weather stations at specific locations such as airports, ports and areas with high density population. Typically, these locations are avoided during wind farms siting. According to WMO regulations, weather stations provide measurements for different weather elements at specific altitudes such as 2 m for air temperature and 10 m for wind measurements. For wind energy resource assessment applications, minimum of one year of wind measurements is required to build wind climatology for a certain site. Therefore data collected from a certain site cannot be used before one year of operation. Due to these limitations, wind energy resource assessment application needs to use data from different sources. Recently, wind assessment studies were conducted using data generated by Numerical Weather Prediction models. This paper reviews the use of the Numerical Weather Prediction data for wind energy resource assessment. It gives a general overview of NWP models and how they overcome the limitations in the classical wind measurements.

Original languageEnglish
Pages (from-to)3192-3198
Number of pages7
JournalRenewable and Sustainable Energy Reviews
Volume14
Issue number9
DOIs
Publication statusPublished - 2010

Fingerprint

Wind power
Energy resources
Climatology
Airports
Farms
Air
Costs

Keywords

  • Numerical Weather Prediction
  • Wind energy assessment
  • Wind measurements

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment

Cite this

Review of the use of numerical weather prediction (NWP) models for wind energy assessment. / Al-Yahyai, Sultan; Charabi, Yassine; Gastli, Adel.

In: Renewable and Sustainable Energy Reviews, Vol. 14, No. 9, 2010, p. 3192-3198.

Research output: Contribution to journalArticle

@article{f47854f37de74193ace8737b1590a867,
title = "Review of the use of numerical weather prediction (NWP) models for wind energy assessment",
abstract = "Wind energy resource assessment applications require accurate wind measurements. Most of the published studies used data from existing weather station network operated by meteorological departments. Due to relatively high cost of weather stations the resolution of the weather station network is coarse for wind energy applications. Typically, meteorological departments install weather stations at specific locations such as airports, ports and areas with high density population. Typically, these locations are avoided during wind farms siting. According to WMO regulations, weather stations provide measurements for different weather elements at specific altitudes such as 2 m for air temperature and 10 m for wind measurements. For wind energy resource assessment applications, minimum of one year of wind measurements is required to build wind climatology for a certain site. Therefore data collected from a certain site cannot be used before one year of operation. Due to these limitations, wind energy resource assessment application needs to use data from different sources. Recently, wind assessment studies were conducted using data generated by Numerical Weather Prediction models. This paper reviews the use of the Numerical Weather Prediction data for wind energy resource assessment. It gives a general overview of NWP models and how they overcome the limitations in the classical wind measurements.",
keywords = "Numerical Weather Prediction, Wind energy assessment, Wind measurements",
author = "Sultan Al-Yahyai and Yassine Charabi and Adel Gastli",
year = "2010",
doi = "10.1016/j.rser.2010.07.001",
language = "English",
volume = "14",
pages = "3192--3198",
journal = "Renewable and Sustainable Energy Reviews",
issn = "1364-0321",
publisher = "Elsevier Limited",
number = "9",

}

TY - JOUR

T1 - Review of the use of numerical weather prediction (NWP) models for wind energy assessment

AU - Al-Yahyai, Sultan

AU - Charabi, Yassine

AU - Gastli, Adel

PY - 2010

Y1 - 2010

N2 - Wind energy resource assessment applications require accurate wind measurements. Most of the published studies used data from existing weather station network operated by meteorological departments. Due to relatively high cost of weather stations the resolution of the weather station network is coarse for wind energy applications. Typically, meteorological departments install weather stations at specific locations such as airports, ports and areas with high density population. Typically, these locations are avoided during wind farms siting. According to WMO regulations, weather stations provide measurements for different weather elements at specific altitudes such as 2 m for air temperature and 10 m for wind measurements. For wind energy resource assessment applications, minimum of one year of wind measurements is required to build wind climatology for a certain site. Therefore data collected from a certain site cannot be used before one year of operation. Due to these limitations, wind energy resource assessment application needs to use data from different sources. Recently, wind assessment studies were conducted using data generated by Numerical Weather Prediction models. This paper reviews the use of the Numerical Weather Prediction data for wind energy resource assessment. It gives a general overview of NWP models and how they overcome the limitations in the classical wind measurements.

AB - Wind energy resource assessment applications require accurate wind measurements. Most of the published studies used data from existing weather station network operated by meteorological departments. Due to relatively high cost of weather stations the resolution of the weather station network is coarse for wind energy applications. Typically, meteorological departments install weather stations at specific locations such as airports, ports and areas with high density population. Typically, these locations are avoided during wind farms siting. According to WMO regulations, weather stations provide measurements for different weather elements at specific altitudes such as 2 m for air temperature and 10 m for wind measurements. For wind energy resource assessment applications, minimum of one year of wind measurements is required to build wind climatology for a certain site. Therefore data collected from a certain site cannot be used before one year of operation. Due to these limitations, wind energy resource assessment application needs to use data from different sources. Recently, wind assessment studies were conducted using data generated by Numerical Weather Prediction models. This paper reviews the use of the Numerical Weather Prediction data for wind energy resource assessment. It gives a general overview of NWP models and how they overcome the limitations in the classical wind measurements.

KW - Numerical Weather Prediction

KW - Wind energy assessment

KW - Wind measurements

UR - http://www.scopus.com/inward/record.url?scp=77957088306&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77957088306&partnerID=8YFLogxK

U2 - 10.1016/j.rser.2010.07.001

DO - 10.1016/j.rser.2010.07.001

M3 - Article

VL - 14

SP - 3192

EP - 3198

JO - Renewable and Sustainable Energy Reviews

JF - Renewable and Sustainable Energy Reviews

SN - 1364-0321

IS - 9

ER -