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https://doi.org/10.5194/wes-2025-71
https://doi.org/10.5194/wes-2025-71
06 May 2025
 | 06 May 2025
Status: this preprint is currently under review for the journal WES.

A global blockage parametrization for engineering wake models

Niels Goedegebure, Mikko Folkersma, and Jakob Maljaars

Abstract. Whereas engineering wake models can be used to efficiently provide energy production estimates for wind turbine sites, recent studies indicate the importance of a global blockage effect becomes manifest for larger assets. This global blockage effect is caused by site-scale interactions with the atmospheric boundary layer, and results in a wind speed deficit upstream of the asset. This paper presents an efficient and accurate parametrized global blockage model which integrates into existing engineering wake models. The central idea behind this global blockage model is to interpret the wind farm site as a parametrized porous object, subjected to an ambient flow field. We calibrate and benchmark our model through high-resolution LES model data for a representative offshore site using a calibrated wake deficit shape parameter. Results show significant improvements in turbine-level energy production prediction accuracy when compared to results obtained without any blockage model and results obtained with the local self-similar blockage model. The parametrized global blockage model has a significantly lower computational footprint compared to local blockage models. We conclude that not taking (global) blockage into account sufficiently can yield a tendency to overestimate the strength of the turbine wake deficit effects when calibrating wake deficit shape parameters. Finally, we note that the spatial distribution of (global) blockage and wake deficit errors can easily lead to error cancellation when aggregating over binned wind directions.

Competing interests: All authors are employed at Whiffle Precision Weather Forecasting BV, a limited liability company.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
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Niels Goedegebure, Mikko Folkersma, and Jakob Maljaars

Status: open (until 03 Jun 2025)

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Niels Goedegebure, Mikko Folkersma, and Jakob Maljaars
Niels Goedegebure, Mikko Folkersma, and Jakob Maljaars
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Short summary
A parametrized model for global blockage modeling is introduced for turbine wake interaction models using PyWake. The model is tested on a variety of site setups and benchmarked against high-fidelity large eddy simulation data. Results show significant improvement in energy production estimates compared to setups without blockage effects and a local blockage model. Furthermore, results show the importance of wake-shape parameter calibration and modeling blockage effects for energy production.
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