Bribat

Definition of an operational framework for the effective implementation of multi-factor curtailment algorithms for wind turbines in favour of bats

The Bribat project aims to translate multi-factor predictive algorithms for collision risk between wind turbines and bats into operational curtailment tools. These algorithms are trained on acoustic monitoring data collected from wind turbine nacelles, sourced from regulatory monitoring studies.

 

 

Optimising curtailment is today a major challenge given the sensitivity of these long-lived and threatened species to collisions, and the current inadequacy of conventional curtailment practices.

 

 

The project’s specific objectives will be, on the one hand, to optimise the effectiveness of the algorithms — the balance between collision risk reduction and the resulting loss of energy production — and, on the other hand, to test these algorithms against future usage scenarios in order to define implementation rules for optimal effectiveness and feasibility (decision rules, site-specific calibration or not, types of meteorological data, etc.).