Pywasp provides a Python based API for running the various models included in the WAsP and WAsP Engineering (WEng) programs.
In addition to the API, several examples have been developed to show users how to use the various WAsP routines for scientific studies. The goal of the API is to provide an easy to script interface to additional tools, and to provide an interface to performing Monte Carlo and other large scale sensitivity studies.
read more in Getting Started
- Getting Started
- User Guide
- API Reference
- Release Notes
- Development Roadmap
- Order PyWAsP
Rogier Floors and Morten Nielsen. Estimating Air Density Using Observations and Re-Analysis Outputs for Wind Energy Purposes. Energies, 12(11):2038, may 2019. URL: https://www.mdpi.com/1996-1073/12/11/2038, doi:10.3390/en12112038.
Rogier Ralph Floors, Ib Troen, and Mark C Kelly. Implementation of large-scale average geostrophic wind shear in WAsP12.1. Technical Report, E-0169, DTU Wind Energy, Roskilde, Denmark, 2018. URL: https://orbit.dtu.dk/en/publications/implementation-of-large-scale-average-geostrophic-wind-shear-in-w.
Niels G. Mortensen, Morten Nielsen, and Hans" Ejsing Jørgensen. Offshore creyap part 2 final results. In EWEA Technology Workshop. Helsinki, Finland, June 2015. URL: https://orbit.dtu.dk/en/publications/offshore-creyap-part-2-final-results.