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WindGym

A dynamic wind farm environment for developing and evaluating reinforcement learning agents for wind farm control.

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📚 View the full documentation here

Overview

WindGym provides realistic wind farm simulations built on DYNAMIKS and PyWake. Agents learn to optimize turbine yaw control for power maximization and load reduction in complex wake interactions.

Installation

git clone https://gitlab.windenergy.dtu.dk/sys/WindGym.git
cd WindGym
pixi install
pixi shell

Examples

See the examples directory for complete usage demonstrations.

Animation of flowfield

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Reinforcement learning environment for wind farm control. Mirror of https://gitlab.windenergy.dtu.dk/sys/windgym

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