Wind speed extrapolation methods and their effect on energy generation estimation

Seyit Ahmet Akdag; Onder Guler; Emre Yagci

doi:10.1109/ICRERA.2013.6749793

Wind speed extrapolation methods and their effect on energy generation estimation

Seyit Ahmet Akdag
, Onder Guler
, Emre Yagci

Energy Institute

Istanbul Technical University

Research output: Contribution to conference › Paper › peer-review

6 Citations (Scopus)

Abstract

Wind speed profile in the atmospheric layer is critical factor for wind turbine capacity factor estimation. Prior to the installation of wind farm, it is essential to estimate expected energy output in order to assess the economic viability of the project. Wind speeds measurements are generally carried out at 10 or 30 m whereas most turbines in commercial use at present have hub heights between 60 and 100 m. Therefore, wind speed measurements are extrapolated to the wind turbine hub height. In this paper, 16 different extrapolation methods were reviewed and compared to determine wind speed, power density and their energy generation estimation capability. Two different error analyses were used to determine the best method. Utilized wind data was gathered from Turkey for 10, 30 and 50 m.

Original language	English
Pages	428-430
Number of pages	3
DOIs	https://doi.org/10.1109/ICRERA.2013.6749793
Publication status	Published - 2013
Event	2013 2nd International Conference on Renewable Energy Research and Applications, ICRERA 2013 - Madrid, Spain Duration: 20 Oct 2013 → 23 Oct 2013

Conference

Conference	2013 2nd International Conference on Renewable Energy Research and Applications, ICRERA 2013
Country/Territory	Spain
City	Madrid
Period	20/10/13 → 23/10/13

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

capacity factor
extrapolation
wind energy
wind speed

Access to Document

10.1109/ICRERA.2013.6749793

Cite this

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title = "Wind speed extrapolation methods and their effect on energy generation estimation",

abstract = "Wind speed profile in the atmospheric layer is critical factor for wind turbine capacity factor estimation. Prior to the installation of wind farm, it is essential to estimate expected energy output in order to assess the economic viability of the project. Wind speeds measurements are generally carried out at 10 or 30 m whereas most turbines in commercial use at present have hub heights between 60 and 100 m. Therefore, wind speed measurements are extrapolated to the wind turbine hub height. In this paper, 16 different extrapolation methods were reviewed and compared to determine wind speed, power density and their energy generation estimation capability. Two different error analyses were used to determine the best method. Utilized wind data was gathered from Turkey for 10, 30 and 50 m.",

keywords = "capacity factor, extrapolation, wind energy, wind speed",

author = "Akdag, \{Seyit Ahmet\} and Onder Guler and Emre Yagci",

year = "2013",

doi = "10.1109/ICRERA.2013.6749793",

language = "English",

pages = "428--430",

note = "2013 2nd International Conference on Renewable Energy Research and Applications, ICRERA 2013 ; Conference date: 20-10-2013 Through 23-10-2013",

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TY - CONF

T1 - Wind speed extrapolation methods and their effect on energy generation estimation

AU - Akdag, Seyit Ahmet

AU - Guler, Onder

AU - Yagci, Emre

PY - 2013

Y1 - 2013

N2 - Wind speed profile in the atmospheric layer is critical factor for wind turbine capacity factor estimation. Prior to the installation of wind farm, it is essential to estimate expected energy output in order to assess the economic viability of the project. Wind speeds measurements are generally carried out at 10 or 30 m whereas most turbines in commercial use at present have hub heights between 60 and 100 m. Therefore, wind speed measurements are extrapolated to the wind turbine hub height. In this paper, 16 different extrapolation methods were reviewed and compared to determine wind speed, power density and their energy generation estimation capability. Two different error analyses were used to determine the best method. Utilized wind data was gathered from Turkey for 10, 30 and 50 m.

AB - Wind speed profile in the atmospheric layer is critical factor for wind turbine capacity factor estimation. Prior to the installation of wind farm, it is essential to estimate expected energy output in order to assess the economic viability of the project. Wind speeds measurements are generally carried out at 10 or 30 m whereas most turbines in commercial use at present have hub heights between 60 and 100 m. Therefore, wind speed measurements are extrapolated to the wind turbine hub height. In this paper, 16 different extrapolation methods were reviewed and compared to determine wind speed, power density and their energy generation estimation capability. Two different error analyses were used to determine the best method. Utilized wind data was gathered from Turkey for 10, 30 and 50 m.

KW - capacity factor

KW - extrapolation

KW - wind energy

KW - wind speed

UR - https://www.scopus.com/pages/publications/84899100449

U2 - 10.1109/ICRERA.2013.6749793

DO - 10.1109/ICRERA.2013.6749793

M3 - Paper

AN - SCOPUS:84899100449

SP - 428

EP - 430

T2 - 2013 2nd International Conference on Renewable Energy Research and Applications, ICRERA 2013

Y2 - 20 October 2013 through 23 October 2013

ER -

Wind speed extrapolation methods and their effect on energy generation estimation

Abstract

Conference

UN SDGs

Keywords

Access to Document

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