Wind energy assessment using Weibull Distribution in coastal areas of Bangladesh

2014 ◽  
Author(s):  
Subarto Kumar Ghosh ◽  
Mohammad Hasanuzzaman Shawon ◽  
Md. Ashifur Rahman ◽  
Shimul Kanti Nath
Keyword(s):  
Wind Energy ◽  
Weibull Distribution ◽  
Coastal Areas ◽  
Energy Assessment

Assessment of wind energy resources in the urat area using optimized weibull distribution

2021 ◽  
Vol 47 ◽  
pp. 101351
Author(s):  
Jianxiong Wan ◽  
Fengfeng Zheng ◽  
Haolun Luan ◽  
Yi Tian ◽  
Leixiao Li ◽  
...  
Keyword(s):  
Wind Energy ◽  
Weibull Distribution ◽  
Energy Resources ◽  
Wind Energy Resources

Efficient data filtering for wind energy assessment

2012 ◽  
Vol 6 (6) ◽  
pp. 446-454 ◽  
Author(s):  
J.J. Melero ◽  
J. Beltrán ◽  
C. Pueyo ◽  
J.J. Guerrero
Keyword(s):  
Wind Energy ◽  
Data Filtering ◽  
Energy Assessment ◽  
Efficient Data

A temporal model for vertical extrapolation of wind speed and wind energy assessment

2021 ◽  
Vol 301 ◽  
pp. 117378
Author(s):  
Paola Crippa ◽  
Mariana Alifa ◽  
Diogo Bolster ◽  
Marc G. Genton ◽  
Stefano Castruccio
Keyword(s):  
Wind Speed ◽  
Wind Energy ◽  
Energy Assessment ◽  
Temporal Model

Calculation of Weibull Distribution parameters at low wind speed and performance analysis

2021 ◽  
pp. 1-24
Author(s):  
Yusuf Alper Kaplan
Keyword(s):  
Wind Speed ◽  
Wind Energy ◽  
Weibull Distribution ◽  
Energy Potential ◽  
Average Wind Speed ◽  
Statistical Indicator ◽  
Low Wind Speed ◽  
Distribution Parameters ◽  
Wind Energy Potential ◽  
And Performance

In this study, the compatibility of the real wind energy potential to the estimated wind energy potential by Weibull Distribution Function (WDF) of a region with low average wind speed potential was examined. The main purpose of this study is to examine the performance of six different methods used to find the coefficients of the WDF and to determine the best performing method for selected region. In this study seven-year hourly wind speed data obtained from the general directorate of meteorology of this region was used. The root mean square error (RMSE) statistical indicator was used to compare the efficiency of all used methods. Another main purpose of this study is to observe the how the performance of the used methods changes over the years. The obtained results showed that the performances of the used methods showed slight changes over the years, but when evaluated in general, it was observed that all method showed acceptable performance. Based on the obtained results, when the seven-year data is evaluated in this selected region, it can be said that the MM method shows the best performance.

scholarly journals Solar and Wind Energy Based Microgrid : Study of Architecture's Potential at Coastal Areas in Bangladesh

2018 ◽  
Vol 17 (2) ◽  
pp. 31-36
Author(s):  
Abir Muhtadi ◽  
Ahmed Mortuza Saleque ◽  
Mohammad Abdul Mannan
Keyword(s):  
Renewable Energy ◽  
Wind Energy ◽  
Fossil Fuel ◽  
Renewable Energy Sources ◽  
Coastal Areas ◽  
Real Case ◽  
Extension Study ◽  
Energy Sources ◽  
Case Scenario ◽  
Geographical Locations

Due to sheer dependency upon fossil fuel sources, Bangladesh as a country is not free from numerous negative aspects. Country’s requirement for a certain portion of power be generated from renewable energy sources is due and required renewable energy target (RET) needs to be fulfilled. In this study, potential of distinguished coastal sites for entirely renewable energy such as solar and wind sources based microgrid for chosen community is explored. Microgrid architecture is appropriate considering the coastal areas’ geographical locations and due to the inconvenience in grid extension. Study suggests, potential of coastal sites are found to be feasible for such structures based on real case scenario data and modelled technical scheme.

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