A Statistical Analysis of the Wind Speed Distribution Parameters and Wind Power Density in Antakya Region

被引：1

作者：

Mert, Ilker ^{[1
]}

Karakus, Cuma ^{[2
]}

机构：

[1] Denizcilik Meslek Yuksekokulu, Iskenderun, Turkey

[2] Muhendislik Fak, Makine Muhendisligi Bolumu, Iskenderun, Turkey

来源：

JOURNAL OF POLYTECHNIC-POLITEKNIK DERGISI | 2015年 / 18卷 / 01期

关键词：

Gamma distribution; Log-normal distribution; Wind speed; Wind energy;

D O I：

10.2339/2015.18.1,35-42

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

A precise determination of probability distribution for wind speed data is the most important step in statistically evaluating wind speed and wind energy potential of a region. In this study, wind characteristic and wind energy potential of the Antakya that is located in the Mediterranean coastal city Hatay of Turkey, are analyzed using the daily, monthly and annual average wind speed data of Turkish State Meteorological Service measured at 10 m. Log-normal and Gamma distributions widely used distributions in statistical analyses were applied to wind speed data sets for Antakya. Wind speed distribution curves, mean wind speed and the wind power density values of Antakya are obtained by using the Log-normal and Gamma probability density functions. Anderson-Darling test, the coefficient of determination and Root Mean Square Error Analysis are used to evaluate their goodness-of-fit of the Log-normal and Gamma distributions. As a result, it is found that the investigated location has a low wind power density.

引用

下载

页码：35 / 42

页数：8

共 50 条

[21] Statistical Estimation for Fitting Wind Speed Distribution
Chowdhury, Srinjoy Nag
Dhawan, Saniya
2016 INTERNATIONAL CONFERENCE ON ENERGY EFFICIENT TECHNOLOGIES FOR SUSTAINABILITY (ICEETS), 2016, : 34 - 37
[22] Statistical approach for improved wind speed forecasting for wind power production
Pearre, Nathaniel S.
Swan, Lukas G.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS, 2018, 27 : 180 - 191
[23] A statistical analysis of wind power density based on the Weibull and Rayleigh models at the southern region of Turkey
Celik, AN
RENEWABLE ENERGY, 2004, 29 (04) : 593 - 604
[24] Analysis of wind speed data and distribution parameters in Valladolid, Spain
Bilbao, J.
Miguel, A. H.
Perez-Burgos, A. M.
PROCEEDINGS OF ISES SOLAR WORLD CONGRESS 2007: SOLAR ENERGY AND HUMAN SETTLEMENT, VOLS I-V, 2007, : 2681 - 2685
[25] Sustainable Energy Through Wind Speed and Power Density Analysis in Ambam, South Region of Cameroon
Elie Bertrand, Kengne Signe
Abraham, Kanmogne
Lucien, Meva'a
FRONTIERS IN ENERGY RESEARCH, 2020, 8
[26] Statistical Analysis and Forecasting of Wind Speed
Shukla, Sakshi
Ramaprasad, Rohit
Pasari, Sumanta
Sheoran, Sarita
4th International Conference on Energy, Power, and Environment, ICEPE 2022, 2022,
[27] Statistical Analysis of Wind Speed Data
Teyabeen, Alhassan Ali
2015 6TH INTERNATIONAL RENEWABLE ENERGY CONGRESS (IREC), 2015,
[28] An investigation of wind power density distribution at location with low an high wind speeds using statistical model
Katinas, Vladislovas
Gecevicius, Giedrius
Marciukaitis, Mantas
APPLIED ENERGY, 2018, 218 : 442 - 451
[29] Improving the accuracy of wind speed statistical analysis and wind energy utilization in the Ningxia Autonomous Region, China
Dong, Zuo
Wang, Xianjia
Zhu, Runzhou
Dong, Xuan
Ai, Xueshan
APPLIED ENERGY, 2022, 320
[30] Improving the accuracy of wind speed statistical analysis and wind energy utilization in the Ningxia Autonomous Region, China
Dong, Zuo
Wang, Xianjia
Zhu, Runzhou
Dong, Xuan
Ai, Xueshan
Applied Energy, 2022, 320

← 1 2 3 4 5 →