Please use this identifier to cite or link to this item: http://hdl.handle.net/11452/23859
Title: Modeling studies on the relation between wind speed and height: Tekirdag sample
Authors: Eker, Bülent
Durgut, Mehmet Recai
Okur, Ersen
Uludağ Üniversitesi/Ziraat Fakültesi/Biyosistem Mühendisliği.
Vardar, Ali
Kurtulmuş, Ferhat
R-8053-2016
AAH-5008-2021
15049958800
15848202900
Keywords: Energy & fuels
Engineering
Wind speed
Height parameter
Modelling
Artificial neural networks
Artificial neural-networks
Turkey
Power
Density
Error analysis
Mathematical models
Models
Neural networks
Computer environments
Data logger
Error comparison
Error rate
Height parameter
Modeling studies
Northwestern Turkey
Wind directions
Wind speed
Wind speed estimations
Wind effects
Issue Date: Jul-2011
Publisher: Sıla Science
Citation: Vardar, A. vd. (2011). "Modeling studies on the relation between wind speed and height: Tekirdag sample". Energy Education Science and Technology Part A-Energy Science and Research, 27(2), 383-388.
Abstract: The experiments of this study were conducted in Degirmenalti Campus of Namik Kemal University in Tekirdag, a province in northwestern Turkey between 2005-2008. An anemograph system which can measure wind speed and wind direction at 2 m and 10 m heights was used in this study. The recorded data was transferred to computer environment with a data logger. The relation between wind speed and height was modeled with the gathered data and it was compared with logarithmic wind speed. Also, artificial neural networks (ANN) method was used in wind speed estimation and error comparisons of the results of measurements and ANN estimations was done. The best results of the error analysis were gained from the developed mathematical model. Especially, the error rate of developed mathematical model for the wind speed values over 2 ms-1 remained under 5%. While error rates appeared to be higher in logarithmic wind speed model, they were quite near to the developed mathematical model in ANN method.
URI: http://hdl.handle.net/11452/23859
ISSN: 1308-772X
Appears in Collections:Scopus
Web of Science

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