Wind Resource Assessment for Programmers

Issued by

DTU Wind and Energy Systems

Awarded to

Vijay Vasudevan

Wind Resource Assessment for Programmers

This intensive three-week course equips participants with practical Python programming skills for modern wind resource assessment. Through self-paced modules and live sessions, participants learn to process, analyse, and visualise wind data using xarray and geopandas, and to run full numerical assessments with DTU Wind Energy's WindKit, PyWAsP, and PyWake libraries. The curriculum spans wind data and climates, terrain and GIS, flow modelling with WAsP, wake modelling, and AEP estimation with losses and uncertainty quantification, culminating in validation and professional reporting.

Verified Competencies

WRA Python Toolkit

Wind Data QC & Weibull Climates

Terrain Data & GIS

Flow Modelling with WAsP and PyWAsP

Wake Modelling with PyWake

AEP, Losses & Uncertainty (P50/P75/P90)

Validation & Professional Reporting

Earning criteria

Complete the full three-week program, including the self-paced modules and the recommended live sessions (recordings available for participants attending asynchronously).

Complete hands-on Python and Jupyter exercises across the wind resource assessment workflow, covering wind data QC, Weibull climates, terrain and roughness mapping, and resource grids.

Complete a full wind resource assessment workflow using WindKit, PyWAsP, and PyWake, from wind climate through to net AEP with uncertainty (P50/P90) and a summary report.

About the issuer

DTU Wind and Energy Systems

wind.dtu.dk/

Earn this certificate of achievement