Szczegóły publikacji

Opis bibliograficzny

Verification of wind turbine energy productivity models under Polish conditions: a comparative analysis of ERA5, MERRA, and local measurement data / Piotr Olczak, Jarosław Kulpa, Artur Dyczko, Dominika MATUSZEWSKA, Lina Montuori // Sustainability [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN  2071-1050 . — 2025 — vol. 17 iss. 24 art. no. 11043, s. 1-18. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 16-18, Abstr. — Publikacja dostępna online od: 2025-12-10

Autorzy (5)

Słowa kluczowe

wind energyrenewable energy sourcesvalidationwind turbineERA5PolandMERRA

Dane bibliometryczne

ID BaDAP164929
Data dodania do BaDAP2025-12-23
Tekst źródłowyURL
DOI10.3390/su172411043
Rok publikacji2025
Typ publikacjiartykuł w czasopiśmie
Otwarty dostęptak
Creative Commons
Czasopismo/seriaSustainability

Abstract

Numerous models exist for estimating the specific energy yield of wind turbines, typically relying on meteorological wind speed data and turbine characteristics. However, the applicability and accuracy of these models must be validated against real-world data, particularly concerning the conditions specific to Poland. The primary objective of this study was to verify the accuracy of existing wind energy yield models for onshore wind turbine installations in Polish conditions. The study was conducted in two parts. First, the compliance of wind speed data derived from two global reanalysis databases (ERA5 and MERRA) was analyzed against actual hourly measurements. These measurements were collected from nacelle-mounted sensors at the hub height of six operational turbines (two 3 MW and four 0.8 MW units) at a wind farm site over the course of 2019. Second, a computational model for the specific energy yield was verified using the same on-site measurements, incorporating data on turbine configuration, location, and the ERA5/MERRA inputs. A significant discrepancy was observed: wind speeds measured directly on the higher-capacity turbines (3 MW) were consistently higher than those reported in the ERA5 and MERRA databases. This difference is attributed to the fact that the coarse grid resolution of global databases does not capture the precise, optimized placement of turbines at sites specifically selected for high wind potential, often considering local topography. Despite this initial wind speed variance, the subsequent verification of the energy yield model showed satisfactory agreement with real production data. The relative mean bias error (rMBE) was found to be below 8% for the ERA5 input paired with the 3 MW turbine data and below 12% for the MERRA input paired with the 0.8 MW turbine data. The findings confirm that while global reanalysis databases may underestimate local wind speeds due to generalized grid resolution, the tested energy yield model provides satisfactory results for wind turbine planning in Poland.

Publikacje, które mogą Cię zainteresować

fragment książki
#110445Data dodania: 2.1.2018
Predicting the amount of energy generated by a wind turbine on the basis of weather data / Qusay HASSAN, Marek JASZCZUR, Martín Serrano Juste, Robert Hanus // W: SEED 2017 : 2nd international conference on the Sustainable Energy and Environment Development : Kraków, Poland, 14–17 November, 2017 : book of abstracts. — Krakow : Institute for Sustainable Energy, 2017. — ISBN: 978-83-944254-4-9. — S. 42. — Q. Hassan – dod. afiliacja: University of Diyala, Iraq
fragment książki
#124441Data dodania: 23.9.2019
Investigation of use small wind turbines under local wind conditions in Rabka-Zdrój / Aleksandra SZULC, Barbara TOMASZEWSKA // W: IcoRES'19 [Dokument elektroniczny] : 6'th international scientific conference Renewable Energy Sources : 12–14 June [2019], Krynica, Poland : book of abstracts. — Wersja do Windows. — Dane tekstowe. — [Kraków : University of Agriculture], [2019]. — S. [57]. — Wymagania systemowe: Adobe Reader. — Tryb dostępu: http://renewenergy.pl/BoA19.pdf [2019-09-20]