As wind power is one of the main contributions to the energy transition, conducting the necessary production simulations during the development stage of a wind project can provide developers with an initial idea of its power generation potential. Existing wind farm production simulation studies have focused on data sources and time scales based on actual measurement wind data and annual production. This study analyses the accuracy of production simulations for two small wind farms using publicly available mesoscale wind data (NEWA, NORA3, CERRA) in WindPro software. A total of three simulations with different mesoscale data were performed for each wind farm. Annual energy production (AEP) and 12 monthly energy production (MEP) were compared to the actual data and AEP deviations and MEP root mean square error (RMSE) were calculated. Finally, the differences in accuracy between the three mesoscale data for the production simulations are discussed, as well as the consistency of the accuracy on the annual and monthly scales. The results show that the accuracy of all three mesoscale data for the Grollingbo wind farm is weak, with the AEP and MEP simulations from CERRA having the highest relative accuracy (+25.4%; 45.3). For the Räpplinge wind farm, NORA3 has the highest accuracy for both AEP and MEP simulations (+6.3%; 95.2).
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-504335 |
| Date | January 2023 |
| Creators | MengHan, Zhi |
| Publisher | Uppsala universitet, Institutionen för geovetenskaper |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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