S
Sinan Akpinar
Researcher at Fırat University
Publications - 52
Citations - 1157
Sinan Akpinar is an academic researcher from Fırat University. The author has contributed to research in topics: Wave packet & Total angular momentum quantum number. The author has an hindex of 13, co-authored 52 publications receiving 1072 citations.
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Journal ArticleDOI
An assessment on seasonal analysis of wind energy characteristics and wind turbine characteristics
E. Kavak Akpinar,Sinan Akpinar +1 more
TL;DR: In this article, seasonal variations of the wind characteristics and wind turbine characteristics in the regions around Elazig, namely Maden, Agin and Keban, were analyzed for the six year period 1998-2003.
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Determination of the wind energy potential for Maden-Elazig, Turkey
E. Kavak Akpinar,Sinan Akpinar +1 more
TL;DR: In this paper, the Weibull density function has been used to determine the wind energy potential in Maden-Elazig, Turkey, and a long term data source consisting of five years (1998-2002) of hourly mean wind data, was adopted and analyzed.
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A statistical analysis of wind speed data used in installation of wind energy conversion systems
E. Kavak Akpinar,Sinan Akpinar +1 more
TL;DR: In this paper, statistical methods were used to analyze the wind speed data of Keban-Elazig in the east region of Turkey and two probability density functions were fitted to the measured probability distributions on a yearly basis.
Journal ArticleDOI
Estimation of wind energy potential using finite mixture distribution models
Sinan Akpinar,Ebru Kavak Akpinar +1 more
TL;DR: In this article, the authors investigated an analysis of wind characteristics of four stations (Elazig, Elazig-Maden, Elazer-Keban, and Elazar-Agin) over a period of 8 years (1998-2005).
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Wind energy analysis based on maximum entropy principle (MEP)-type distribution function
Sinan Akpinar,E. Kavak Akpinar +1 more
TL;DR: In this article, the maximum entropy principle (MEP) was applied to the analytical determination of wind speed distributions through application of the MEP, and the statistical analysis parameter based on wind power density was used as the suitable judgment criterion for the distribution functions.