Weibull parameters estimation using combined energy pattern and power density method for wind resource assessment
This work deals with the development of Combined Energy Pattern & Power Density Method (CEPPDM) to evaluate the two parameters needed to define Weibull distribution. Five years (2015–2019) wind data recorded each 60-minutes interval at eleven representative sites in Pakistan was used and efficie...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2021-09-01
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| Series: | Energy Exploration & Exploitation |
| Online Access: | https://doi.org/10.1177/0144598720947483 |
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| _version_ | 1846124654783102976 |
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| author | Muhammad Sumair Tauseef Aized Syed Asad Raza Gardezi Muhammad Mahmood Aslam Bhutta Syed Ubaid ur Rehman Syed Muhammad Sohail Rehman |
| author_facet | Muhammad Sumair Tauseef Aized Syed Asad Raza Gardezi Muhammad Mahmood Aslam Bhutta Syed Ubaid ur Rehman Syed Muhammad Sohail Rehman |
| author_sort | Muhammad Sumair |
| collection | DOAJ |
| description | This work deals with the development of Combined Energy Pattern & Power Density Method (CEPPDM) to evaluate the two parameters needed to define Weibull distribution. Five years (2015–2019) wind data recorded each 60-minutes interval at eleven representative sites in Pakistan was used and efficiency of CEPPDM was compared with Energy Pattern Factor Method (EPFM) and Power Density Method (PDM) with the help of MAPE, MSE and R 2 . Analysis showed that CEPPDM is the most efficient method while EPFM is the least efficient. Furthermore, it was found that RYK is the most lucrative site and Layyah is the weakest site regarding wind potential. Wind rose plots were drawn which showed that the wind mainly blows in the range of 200°–270°. |
| format | Article |
| id | doaj-art-7586ee4f90934cf99acb5aa1c0b01e3e |
| institution | Kabale University |
| issn | 0144-5987 2048-4054 |
| language | English |
| publishDate | 2021-09-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Energy Exploration & Exploitation |
| spelling | doaj-art-7586ee4f90934cf99acb5aa1c0b01e3e2024-12-13T15:03:50ZengSAGE PublishingEnergy Exploration & Exploitation0144-59872048-40542021-09-013910.1177/0144598720947483Weibull parameters estimation using combined energy pattern and power density method for wind resource assessmentMuhammad SumairTauseef AizedSyed Asad Raza GardeziMuhammad Mahmood Aslam BhuttaSyed Ubaid ur RehmanSyed Muhammad Sohail RehmanThis work deals with the development of Combined Energy Pattern & Power Density Method (CEPPDM) to evaluate the two parameters needed to define Weibull distribution. Five years (2015–2019) wind data recorded each 60-minutes interval at eleven representative sites in Pakistan was used and efficiency of CEPPDM was compared with Energy Pattern Factor Method (EPFM) and Power Density Method (PDM) with the help of MAPE, MSE and R 2 . Analysis showed that CEPPDM is the most efficient method while EPFM is the least efficient. Furthermore, it was found that RYK is the most lucrative site and Layyah is the weakest site regarding wind potential. Wind rose plots were drawn which showed that the wind mainly blows in the range of 200°–270°.https://doi.org/10.1177/0144598720947483 |
| spellingShingle | Muhammad Sumair Tauseef Aized Syed Asad Raza Gardezi Muhammad Mahmood Aslam Bhutta Syed Ubaid ur Rehman Syed Muhammad Sohail Rehman Weibull parameters estimation using combined energy pattern and power density method for wind resource assessment Energy Exploration & Exploitation |
| title | Weibull parameters estimation using combined energy pattern and power density method for wind resource assessment |
| title_full | Weibull parameters estimation using combined energy pattern and power density method for wind resource assessment |
| title_fullStr | Weibull parameters estimation using combined energy pattern and power density method for wind resource assessment |
| title_full_unstemmed | Weibull parameters estimation using combined energy pattern and power density method for wind resource assessment |
| title_short | Weibull parameters estimation using combined energy pattern and power density method for wind resource assessment |
| title_sort | weibull parameters estimation using combined energy pattern and power density method for wind resource assessment |
| url | https://doi.org/10.1177/0144598720947483 |
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