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Danish extreme wind atlas: Background and methods for a WAsP engineering option

Abstract

Extreme wind statistics is necessary design information when establishing wind farms and erecting bridges, buildings and other structures in the open air. Normal mean wind statistics in terms of directional and speed distribution may be estimated by wind atlas methods and are used to estimate e.g. annual energy output for wind turbines. It is the purpose of the present work to extend the wind atlas method to also include the local extreme wind statistics so that an extreme value as e.g. the 50-year wind can be estimated at locations of interest. Together with turbulence estimates such information is important regarding the necessary strength of wind turbines or structures to withstand high wind loads. In the `WAsP Engineering` computer program a flow model, which includes a model for the dynamic roughness of water surfaces, is used to realise such an extended wind atlas method. With basis in an extended wind atlas, also containing extreme wind statistics, this allows the program to estimate extreme winds in addition to mean winds and turbulence intensities at specified positions and heights. (au) EFP-97. 15 refs.
Authors:
Rathmann, O; Kristensen, L; Mann, J; [1]  Hansen, S O [2] 
  1. Risoe National Lab., Wind Energy and Atmospheric Physics Dept., Roskilde (Denmark)
  2. Svend Ole Hansen ApS, Copenhagen (Denmark)
Publication Date:
Mar 01, 1999
Product Type:
Conference
Report Number:
RISO-R-1114(EN); CONF-990314-
Reference Number:
SCA: 170100; PA: DK-99:001412; EDB-99:087287; SN: 99002098318
Resource Relation:
Conference: EWEC`99. European wind energy conference, Nice (France), 1-5 Mar 1999; Other Information: PBD: Mar 1999; Related Information: Is Part Of Contributions from the Department of Wind Energy and Atmospheric Physics to EWEC `99 in Nice, France; Larsen, Gunnar C.; Westermann, Kirsten; Noergaard, Per [eds.]; PB: 256 p.
Subject:
17 WIND ENERGY; DENMARK; WIND; RESOURCE ASSESSMENT; W CODES; FLOW MODELS; SITE CHARACTERIZATION; TURBULENCE; SURFACE WATERS; ROUGHNESS
OSTI ID:
679630
Research Organizations:
Risoe National Lab., Roskilde (Denmark). Wind Energy and Atmospheric Physics Dept.
Country of Origin:
Denmark
Language:
English
Other Identifying Numbers:
Other: ON: DE99747779; CNN: Contract ENS-1363/97-0004; ISBN 87-550-2542-0; TRN: DK9901412
Availability:
OSTI as DE99747779
Submitting Site:
DK
Size:
pp. 153-156
Announcement Date:

Citation Formats

Rathmann, O, Kristensen, L, Mann, J, and Hansen, S O. Danish extreme wind atlas: Background and methods for a WAsP engineering option. Denmark: N. p., 1999. Web.
Rathmann, O, Kristensen, L, Mann, J, & Hansen, S O. Danish extreme wind atlas: Background and methods for a WAsP engineering option. Denmark.
Rathmann, O, Kristensen, L, Mann, J, and Hansen, S O. 1999. "Danish extreme wind atlas: Background and methods for a WAsP engineering option." Denmark.
@misc{etde_679630,
title = {Danish extreme wind atlas: Background and methods for a WAsP engineering option}
author = {Rathmann, O, Kristensen, L, Mann, J, and Hansen, S O}
abstractNote = {Extreme wind statistics is necessary design information when establishing wind farms and erecting bridges, buildings and other structures in the open air. Normal mean wind statistics in terms of directional and speed distribution may be estimated by wind atlas methods and are used to estimate e.g. annual energy output for wind turbines. It is the purpose of the present work to extend the wind atlas method to also include the local extreme wind statistics so that an extreme value as e.g. the 50-year wind can be estimated at locations of interest. Together with turbulence estimates such information is important regarding the necessary strength of wind turbines or structures to withstand high wind loads. In the `WAsP Engineering` computer program a flow model, which includes a model for the dynamic roughness of water surfaces, is used to realise such an extended wind atlas method. With basis in an extended wind atlas, also containing extreme wind statistics, this allows the program to estimate extreme winds in addition to mean winds and turbulence intensities at specified positions and heights. (au) EFP-97. 15 refs.}
place = {Denmark}
year = {1999}
month = {Mar}
}