Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 342-348 |
| Seitenumfang | 7 |
| Fachzeitschrift | Energy Procedia |
| Jahrgang | 80 |
| Publikationsstatus | Veröffentlicht - 2015 |
| Extern publiziert | Ja |
| Veranstaltung | 12th Deep Sea Offshore Wind R and D Conference, EERA DeepWind 2015 - Trondheim, Norwegen Dauer: 4 Feb. 2015 → 6 Feb. 2015 |
Abstract
A prescribed wake model for the aeroelastic simulation of wind turbines is presented. It is derived from a free wake model in order to reduce computing time and only lose a minimum in accuracy at the same time. It determines the wake geometry dependent on several parameters according to the operation condition. First results for steady conditions are promising and show a significant reduction in computing time.
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in: Energy Procedia, Jahrgang 80, 2015, S. 342-348.
Publikation: Beitrag in Fachzeitschrift › Konferenzaufsatz in Fachzeitschrift › Forschung › Peer-Review
}
TY - JOUR
T1 - Development of a prescribed wake model for simulation of wind turbines
AU - Krause, Ludwig
AU - Hübler, Clemens
N1 - Publisher Copyright: © 2015 The Authors. Published by Elsevier Ltd. Copyright: Copyright 2016 Elsevier B.V., All rights reserved.
PY - 2015
Y1 - 2015
N2 - A prescribed wake model for the aeroelastic simulation of wind turbines is presented. It is derived from a free wake model in order to reduce computing time and only lose a minimum in accuracy at the same time. It determines the wake geometry dependent on several parameters according to the operation condition. First results for steady conditions are promising and show a significant reduction in computing time.
AB - A prescribed wake model for the aeroelastic simulation of wind turbines is presented. It is derived from a free wake model in order to reduce computing time and only lose a minimum in accuracy at the same time. It determines the wake geometry dependent on several parameters according to the operation condition. First results for steady conditions are promising and show a significant reduction in computing time.
KW - Aeroelastic
KW - Simulation
KW - Vortex methods
KW - Wind Turbines
UR - http://www.scopus.com/inward/record.url?scp=84969926569&partnerID=8YFLogxK
U2 - 10.1016/j.egypro.2015.11.438
DO - 10.1016/j.egypro.2015.11.438
M3 - Conference article
AN - SCOPUS:84969926569
VL - 80
SP - 342
EP - 348
JO - Energy Procedia
JF - Energy Procedia
SN - 1876-6102
T2 - 12th Deep Sea Offshore Wind R and D Conference, EERA DeepWind 2015
Y2 - 4 February 2015 through 6 February 2015
ER -