Szczegóły publikacji
Opis bibliograficzny
Predicting the amount of energy generated by a wind turbine based on the weather data / Qusay HASSAN, Marek JASZCZUR, Martín Serrano Juste, Robert Hanus // IOP Conference Series: Earth and Environmental Science ; ISSN 1755-1307. — 2019 — vol. 214 no. 1 art. no. 012113, s. 1–10. — Bibliogr. s. 9–10, Abstr. — Publikacja dostępna online od: 2019-01-24. — Q. Hassan - dod. afiliacja: University of Diyala, Department of Mechanical Engineering, Iraq. — 2nd International Conference on the Sustainable Energy and Environmental Development : 14–17 November 2017, Krakow, Poland
Autorzy (4)
Dane bibliometryczne
| ID BaDAP | 119850 |
|---|---|
| Data dodania do BaDAP | 2019-02-11 |
| Tekst źródłowy | URL |
| DOI | 10.1088/1755-1315/214/1/012113 |
| Rok publikacji | 2019 |
| Typ publikacji | referat w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | IOP Conference Series: Earth and Environmental Science |
Abstract
In this study, a new investigation is underway with the primary objective of the weather parameters impacton the wind turbine power. Therobust and straightforward dynamic model for accurate predicting wind turbine output power waspresented. The evaluation has been done for thewhole environmental components influencing on the model and output power. The selected wind turbine type (RW-5kW)and the predicted energy has been evaluated based onthe experimental weather data of the city of Hel in the north of Poland. The results show that the air density has a high influence on the wind turbine output power and this value is affected by several environmental factors such as pressure, humidity, and temperature. It turns out that the temperature is the most influential, while the pressure and humidity have a lower effect and if they are not available in measured data during modelling they can create only 0.5% error.
