An Optimal Approach for Assessing Weibull Parameters and Wind Power Potential for Six Coastal Cities in Pakistan
Assessing and effectively optimizing wind power potential for a wind site demands accurate calculation of Weibull parameters. In this research, we have ameliorated the performance of the recently-introduced novel energy pattern factor method (NEPFM) via a direct search algorithm, i.e., simplex searc...
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2025-01-01
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| author | Ghulam Abbas Arshad Ali Faizan Rashid Naveed Ashraf Zohaib Mushtaq Muhammad Zubair |
| author_facet | Ghulam Abbas Arshad Ali Faizan Rashid Naveed Ashraf Zohaib Mushtaq Muhammad Zubair |
| author_sort | Ghulam Abbas |
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| description | Assessing and effectively optimizing wind power potential for a wind site demands accurate calculation of Weibull parameters. In this research, we have ameliorated the performance of the recently-introduced novel energy pattern factor method (NEPFM) via a direct search algorithm, i.e., simplex search algorithm (SSA). We designate the resulting algorithm as NEPFM-SSA as it took NEPFM’s Weibull distribution parameters as an initial guess and retuned them with the help of the simplex search algorithm to get updated Weibull distribution parameters, which ensure better fitting characteristics. When applied to wind speed data collected from six coastal cities in Pakistan: Gwadar, Jiwani, Karachi, Ormara, Pasni, and Sonmiani Bay, NEPFM exhibited poor fitting characteristics to the observed wind data. Four statistical indicators, namely root mean square error, mean absolute error, coefficient of determination, and coefficient of efficiency, are taken into consideration to measure the accuracy offered by NEPFM-SSA and NEPFM. An enormous reduction in wind power density-based percentage error (for example, 15.3531% than 51.7205% for Gwadar at 10 m height) was observed in NEPFM-SSA compared to NEPFM. The numerical results reveal that NEPFM-SSA outshined NEPFM for all the cases under consideration, authenticating its workability. This increased accuracy results in improving the reliability of assessments of wind energy and the wider operation of wind energy installations. The MATLAB environment was used to achieve numerical results. The proposed NEPFM-SSA approach may be treated as the first choice to determine Weibull distribution parameters and wind power density for the considered wind sites rather than NEPFM. |
| format | Article |
| id | doaj-art-428fcb63ab364c6eba6b2d45f9c24b9f |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
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| series | IEEE Access |
| spelling | doaj-art-428fcb63ab364c6eba6b2d45f9c24b9f2025-01-07T00:02:22ZengIEEEIEEE Access2169-35362025-01-01132503251710.1109/ACCESS.2024.352444510818671An Optimal Approach for Assessing Weibull Parameters and Wind Power Potential for Six Coastal Cities in PakistanGhulam Abbas0https://orcid.org/0000-0002-2909-654XArshad Ali1https://orcid.org/0000-0001-5625-0867Faizan Rashid2https://orcid.org/0000-0002-2560-6047Naveed Ashraf3Zohaib Mushtaq4https://orcid.org/0000-0002-5587-7614Muhammad Zubair5Department of Electrical Engineering, The University of Lahore, Lahore, PakistanFaculty of Computer and Information Systems, Islamic University of Madinah, Madinah, Saudi ArabiaCollege of Engineering and Technology, University of Doha for Science and Technology, Doha, QatarDepartment of Electrical Engineering, The University of Lahore, Lahore, PakistanDepartment of Electrical, Electronics and Computer Systems, College of Engineering and Technology, University of Sargodha, Sargodha, PakistanCollege of Engineering and Technology, University of Doha for Science and Technology, Doha, QatarAssessing and effectively optimizing wind power potential for a wind site demands accurate calculation of Weibull parameters. In this research, we have ameliorated the performance of the recently-introduced novel energy pattern factor method (NEPFM) via a direct search algorithm, i.e., simplex search algorithm (SSA). We designate the resulting algorithm as NEPFM-SSA as it took NEPFM’s Weibull distribution parameters as an initial guess and retuned them with the help of the simplex search algorithm to get updated Weibull distribution parameters, which ensure better fitting characteristics. When applied to wind speed data collected from six coastal cities in Pakistan: Gwadar, Jiwani, Karachi, Ormara, Pasni, and Sonmiani Bay, NEPFM exhibited poor fitting characteristics to the observed wind data. Four statistical indicators, namely root mean square error, mean absolute error, coefficient of determination, and coefficient of efficiency, are taken into consideration to measure the accuracy offered by NEPFM-SSA and NEPFM. An enormous reduction in wind power density-based percentage error (for example, 15.3531% than 51.7205% for Gwadar at 10 m height) was observed in NEPFM-SSA compared to NEPFM. The numerical results reveal that NEPFM-SSA outshined NEPFM for all the cases under consideration, authenticating its workability. This increased accuracy results in improving the reliability of assessments of wind energy and the wider operation of wind energy installations. The MATLAB environment was used to achieve numerical results. The proposed NEPFM-SSA approach may be treated as the first choice to determine Weibull distribution parameters and wind power density for the considered wind sites rather than NEPFM.https://ieeexplore.ieee.org/document/10818671/NEPFM-SSANEPFMWeibull parametersstatistical indicatorswind power densitywind data |
| spellingShingle | Ghulam Abbas Arshad Ali Faizan Rashid Naveed Ashraf Zohaib Mushtaq Muhammad Zubair An Optimal Approach for Assessing Weibull Parameters and Wind Power Potential for Six Coastal Cities in Pakistan IEEE Access NEPFM-SSA NEPFM Weibull parameters statistical indicators wind power density wind data |
| title | An Optimal Approach for Assessing Weibull Parameters and Wind Power Potential for Six Coastal Cities in Pakistan |
| title_full | An Optimal Approach for Assessing Weibull Parameters and Wind Power Potential for Six Coastal Cities in Pakistan |
| title_fullStr | An Optimal Approach for Assessing Weibull Parameters and Wind Power Potential for Six Coastal Cities in Pakistan |
| title_full_unstemmed | An Optimal Approach for Assessing Weibull Parameters and Wind Power Potential for Six Coastal Cities in Pakistan |
| title_short | An Optimal Approach for Assessing Weibull Parameters and Wind Power Potential for Six Coastal Cities in Pakistan |
| title_sort | optimal approach for assessing weibull parameters and wind power potential for six coastal cities in pakistan |
| topic | NEPFM-SSA NEPFM Weibull parameters statistical indicators wind power density wind data |
| url | https://ieeexplore.ieee.org/document/10818671/ |
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