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Evaluating the influences of complementary corrections/adjustments on improving the accuracy of BEMT in large-scale wind turbine power prediction

Amarloo, Mahdiyar, Darbandi, Masoud et Schneider, Gerry. 2025. « Evaluating the influences of complementary corrections/adjustments on improving the accuracy of BEMT in large-scale wind turbine power prediction ». In Proceedings of the CSME-CFDSC-CSR 2025 International Congress (Montreal, QC, Canada, May 25-28, 2025) Coll. « Progress in Canadian Mechanical Engineering », vol. 8.

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Résumé

Advancements in technology and the increasing global demand for renewable energy have intensified interest in the development of large-scale megawatt wind turbines. Compared to small-scale turbines, these systems significantly improve energy production efficiency and reduce associated costs, making them a key solution for sustainable energy generation. This study evaluates the accuracy of power prediction using the Blade Element Momentum Theory (BEMT) when applied to large-scale wind turbines. To enhance prediction precision, several modifications are applied to the classical BEMT, including rotor tip loss corrections and adjustments for high axial induction factors. The improved model is tested on the NASA MOD-5A horizontal-axis wind turbine. Various correction methods are compared to identify the most effective combinations. Based on the analysis, the Prandtl correction for tip loss and the Peter Smith and Buhl methods for high induction factor adjustments offer the highest accuracy, minimizing error across wind speed ranges. The results confirm that the modified BEMT, when incorporating these specific corrections, provides a reliable and efficient approach for accurate power estimation in large-scale wind turbine design and analysis.

Type de document: Compte rendu de conférence
Éditeurs:
Éditeurs
ORCID
Hof, Lucas A.
NON SPÉCIFIÉ
Di Labbio, Giuseppe
NON SPÉCIFIÉ
Tahan, Antoine
NON SPÉCIFIÉ
Sanjosé, Marlène
NON SPÉCIFIÉ
Lalonde, Sébastien
NON SPÉCIFIÉ
Demarquette, Nicole R.
NON SPÉCIFIÉ
Date de dépôt: 18 déc. 2025 15:08
Dernière modification: 18 déc. 2025 15:08
URI: https://espace2.etsmtl.ca/id/eprint/32356

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