Practices and Considerations in Wind Data Processing for Accurate and Efficient Wind Farm Energy Calculation
An accurate estimation of future wind conditions is essential for calculating the annual energy produced by a wind farm. This estimation should be based on historical wind data collected over several years at the site location. However, research articles often rely on data grouped into 12 sectors. T...
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2025-06-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/18/13/3402 |
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| author | Angel Gaspar Gonzalez-Rodriguez Jose Manuel Riega-Medina Ildefonso Ruano-Ruano Jose Vicente Muñoz-Diez |
| author_facet | Angel Gaspar Gonzalez-Rodriguez Jose Manuel Riega-Medina Ildefonso Ruano-Ruano Jose Vicente Muñoz-Diez |
| author_sort | Angel Gaspar Gonzalez-Rodriguez |
| collection | DOAJ |
| description | An accurate estimation of future wind conditions is essential for calculating the annual energy produced by a wind farm. This estimation should be based on historical wind data collected over several years at the site location. However, research articles often rely on data grouped into 12 sectors. This article examines five methods to improve the speed and accuracy in the use of wind data. First, it studies the effect of inadequate Weibull parameter calculation based on historical data showing that purely mathematical fitting methods (the traditional ones) are not valid. Then, the error introduced by wind speed discretization is evaluated showing that the traditional binning of 1 m/s is not always the best choice. Next, the effect of using symmetric wind roses is examined, demonstrating that it is possible to reduce computation time by half for layouts exhibiting point symmetry, with negligible error for other layouts. After that, the effect of abrupt wind condition distributions caused by sectorization, which can alter results when searching for optimal configurations, is analyzed proposing continuous interpolation of wind data to improve result consistency. Finally, an alternative to the wind rose is proposed to provide a quick assessment of the highest-quality wind directions. |
| format | Article |
| id | doaj-art-510107e3d6a8484e97e06f3ba023cfc2 |
| institution | DOAJ |
| issn | 1996-1073 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-510107e3d6a8484e97e06f3ba023cfc22025-08-20T03:16:46ZengMDPI AGEnergies1996-10732025-06-011813340210.3390/en18133402Practices and Considerations in Wind Data Processing for Accurate and Efficient Wind Farm Energy CalculationAngel Gaspar Gonzalez-Rodriguez0Jose Manuel Riega-Medina1Ildefonso Ruano-Ruano2Jose Vicente Muñoz-Diez3Department of Electronic Engineering and Automation, University of Jaen, 23071 Jaen, SpainFacultad de Ciencias, Universidad Nacional de Ingeniería, Rimac 15333, PeruDepartment of Telecommunications Engineering, University of Jaen, 23071 Jaen, SpainDepartment of Electronic Engineering and Automation, University of Jaen, 23071 Jaen, SpainAn accurate estimation of future wind conditions is essential for calculating the annual energy produced by a wind farm. This estimation should be based on historical wind data collected over several years at the site location. However, research articles often rely on data grouped into 12 sectors. This article examines five methods to improve the speed and accuracy in the use of wind data. First, it studies the effect of inadequate Weibull parameter calculation based on historical data showing that purely mathematical fitting methods (the traditional ones) are not valid. Then, the error introduced by wind speed discretization is evaluated showing that the traditional binning of 1 m/s is not always the best choice. Next, the effect of using symmetric wind roses is examined, demonstrating that it is possible to reduce computation time by half for layouts exhibiting point symmetry, with negligible error for other layouts. After that, the effect of abrupt wind condition distributions caused by sectorization, which can alter results when searching for optimal configurations, is analyzed proposing continuous interpolation of wind data to improve result consistency. Finally, an alternative to the wind rose is proposed to provide a quick assessment of the highest-quality wind directions.https://www.mdpi.com/1996-1073/18/13/3402wind rosesector-wise Weibull distributionWeibull fittingwind speed binningwind direction binningpoint symmetry |
| spellingShingle | Angel Gaspar Gonzalez-Rodriguez Jose Manuel Riega-Medina Ildefonso Ruano-Ruano Jose Vicente Muñoz-Diez Practices and Considerations in Wind Data Processing for Accurate and Efficient Wind Farm Energy Calculation Energies wind rose sector-wise Weibull distribution Weibull fitting wind speed binning wind direction binning point symmetry |
| title | Practices and Considerations in Wind Data Processing for Accurate and Efficient Wind Farm Energy Calculation |
| title_full | Practices and Considerations in Wind Data Processing for Accurate and Efficient Wind Farm Energy Calculation |
| title_fullStr | Practices and Considerations in Wind Data Processing for Accurate and Efficient Wind Farm Energy Calculation |
| title_full_unstemmed | Practices and Considerations in Wind Data Processing for Accurate and Efficient Wind Farm Energy Calculation |
| title_short | Practices and Considerations in Wind Data Processing for Accurate and Efficient Wind Farm Energy Calculation |
| title_sort | practices and considerations in wind data processing for accurate and efficient wind farm energy calculation |
| topic | wind rose sector-wise Weibull distribution Weibull fitting wind speed binning wind direction binning point symmetry |
| url | https://www.mdpi.com/1996-1073/18/13/3402 |
| work_keys_str_mv | AT angelgaspargonzalezrodriguez practicesandconsiderationsinwinddataprocessingforaccurateandefficientwindfarmenergycalculation AT josemanuelriegamedina practicesandconsiderationsinwinddataprocessingforaccurateandefficientwindfarmenergycalculation AT ildefonsoruanoruano practicesandconsiderationsinwinddataprocessingforaccurateandefficientwindfarmenergycalculation AT josevicentemunozdiez practicesandconsiderationsinwinddataprocessingforaccurateandefficientwindfarmenergycalculation |