Comparison of Three Methods for Wind Turbine Capacity Factor Estimation
Three approaches to calculating capacity factor of fixed speed wind turbines are reviewed and compared using a case study. The first “quasiexact” approach utilizes discrete wind raw data (in the histogram form) and manufacturer-provided turbine power curve (also in discrete form) to numerically calc...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/805238 |
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| author | Y. Ditkovich A. Kuperman |
| author_facet | Y. Ditkovich A. Kuperman |
| author_sort | Y. Ditkovich |
| collection | DOAJ |
| description | Three approaches to calculating capacity factor of fixed speed wind turbines are reviewed and compared using a case study. The first “quasiexact” approach utilizes discrete wind raw data (in the histogram form) and manufacturer-provided turbine power curve (also in discrete form) to numerically calculate the capacity factor. On the other hand, the second “analytic” approach employs a continuous probability distribution function, fitted to the wind data as well as continuous turbine power curve, resulting from double polynomial fitting of manufacturer-provided power curve data. The latter approach, while being an approximation, can be solved analytically thus providing a valuable insight into aspects, affecting the capacity factor. Moreover, several other merits of wind turbine performance may be derived based on the analytical approach. The third “approximate” approach, valid in case of Rayleigh winds only, employs a nonlinear approximation of the capacity factor versus average wind speed curve, only requiring rated power and rotor diameter of the turbine. It is shown that the results obtained by employing the three approaches are very close, enforcing the validity of the analytically derived approximations, which may be used for wind turbine performance evaluation. |
| format | Article |
| id | doaj-art-ebfbd8e3098f4a2aa4c5583ab621895f |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-ebfbd8e3098f4a2aa4c5583ab621895f2025-02-03T01:22:14ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/805238805238Comparison of Three Methods for Wind Turbine Capacity Factor EstimationY. Ditkovich0A. Kuperman1Hybrid Energy Sources Laboratory, Department of Electrical Engineering and Electronics, Ariel University Center of Samaria, 40700 Ariel, IsraelHybrid Energy Sources Laboratory, Department of Electrical Engineering and Electronics, Ariel University Center of Samaria, 40700 Ariel, IsraelThree approaches to calculating capacity factor of fixed speed wind turbines are reviewed and compared using a case study. The first “quasiexact” approach utilizes discrete wind raw data (in the histogram form) and manufacturer-provided turbine power curve (also in discrete form) to numerically calculate the capacity factor. On the other hand, the second “analytic” approach employs a continuous probability distribution function, fitted to the wind data as well as continuous turbine power curve, resulting from double polynomial fitting of manufacturer-provided power curve data. The latter approach, while being an approximation, can be solved analytically thus providing a valuable insight into aspects, affecting the capacity factor. Moreover, several other merits of wind turbine performance may be derived based on the analytical approach. The third “approximate” approach, valid in case of Rayleigh winds only, employs a nonlinear approximation of the capacity factor versus average wind speed curve, only requiring rated power and rotor diameter of the turbine. It is shown that the results obtained by employing the three approaches are very close, enforcing the validity of the analytically derived approximations, which may be used for wind turbine performance evaluation.http://dx.doi.org/10.1155/2014/805238 |
| spellingShingle | Y. Ditkovich A. Kuperman Comparison of Three Methods for Wind Turbine Capacity Factor Estimation The Scientific World Journal |
| title | Comparison of Three Methods for Wind Turbine Capacity Factor Estimation |
| title_full | Comparison of Three Methods for Wind Turbine Capacity Factor Estimation |
| title_fullStr | Comparison of Three Methods for Wind Turbine Capacity Factor Estimation |
| title_full_unstemmed | Comparison of Three Methods for Wind Turbine Capacity Factor Estimation |
| title_short | Comparison of Three Methods for Wind Turbine Capacity Factor Estimation |
| title_sort | comparison of three methods for wind turbine capacity factor estimation |
| url | http://dx.doi.org/10.1155/2014/805238 |
| work_keys_str_mv | AT yditkovich comparisonofthreemethodsforwindturbinecapacityfactorestimation AT akuperman comparisonofthreemethodsforwindturbinecapacityfactorestimation |