FLORIS — The Complete Guide: Wind-Farm Wake and Yield Modelling in Python

FLORIS is an open-source Python library developed at NREL, now the National Laboratory of the Rockies. It addresses a key question in wind-farm design: how much energy turbines lose when they stand in the aerodynamic shadow (wake) of other turbines. Instead of heavy CFD it uses fast engineering models, so thousands of cases can be run in minutes. The licence is BSD 3-Clause and allows any use, including commercial work.

FLORIS

National Laboratory of the Rockies (formerly NREL)

Python library for wind-farm wake modelling, energy-yield estimates and turbine control studies.

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What you get

Wake models — several established engineering models to choose and compare.
Annual energy production (AEP) — calculated over a full wind rose.
Layout optimisation — exploring turbine positions within a given area.
Wake steering — yawing turbines to raise the output of the whole farm.
Code integration — working with NumPy, pandas and Jupyter in one workflow.

Who it suits

Wind-energy engineers, wind-farm planners and control researchers who are comfortable working in code. There is no graphical interface, and everything is done in Python scripts. The models are steady-state, so final verification still needs CFD or field measurements.