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A blade element momentum method for analyzing wind turbine aerodynamic performance that is robust (guaranteed convergence), fast (superlinear convergence rate), and smooth (continuously differentiable).
Python Fortran
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docs gradients now returned as dictionary and as full Jacobian. Makes them… Jan 10, 2014
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README.md updating readme and setup and changelogs for openmdao1 release Apr 3, 2019
setup.py

README.md

CCBlade

A blade element momentum method for analyzing wind turbine aerodynamic performance that is robust (guaranteed convergence), fast (superlinear convergence rate), and smooth (continuously differentiable). Analytic gradients are also (optionally) provided for the distributed loads, thrust, torque, and power with respect to design variables of interest.

Author: NREL WISDEM Team

Documentation

See local documentation in the docs-directory or access the online version at http://wisdem.github.io/CCBlade/

Prerequisites

pyMAP requires a Fortran compiler

Installation

For detailed installation instructions of WISDEM modules see https://github.com/WISDEM/WISDEM or to install CCBlade by itself do:

$ python setup.py install

Run Unit Tests

To check if installation was successful, run the unit tests

$ python test/test_ccblade.py
$ python test/test_gradients.py

For software issues please use https://github.com/WISDEM/CCBlade/issues. For functionality and theory related questions and comments please use the NWTC forum for Systems Engineering Software Questions.

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