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pyBEMT

pyBEMT: An implementation of the Blade Element Momentum Theory in Python - Published in JOSS (2020)

https://github.com/kegiljarhus/pybemt

Science Score: 93.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 1 DOI reference(s) in JOSS metadata
  • ○
    Academic publication links
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ✓
    JOSS paper metadata
    Published in Journal of Open Source Software

Scientific Fields

Mathematics Computer Science - 37% confidence
Last synced: 6 months ago · JSON representation

Repository

Implementation of the Blade Element Momentum Theory for turbines and propellers in Python

Basic Info
  • Host: GitHub
  • Owner: kegiljarhus
  • License: mit
  • Language: Python
  • Default Branch: master
  • Size: 1.86 MB
Statistics
  • Stars: 70
  • Watchers: 3
  • Forks: 24
  • Open Issues: 2
  • Releases: 0
Created almost 6 years ago · Last pushed over 3 years ago
Metadata Files
Readme License

README.rst 

pyBEMT
======

Introduction
------------

pyBEMT is an implementation of the Blade Element Momentum Theory in Python.
The model can be used to estimate the thrust generated by a propeller or 
the power generated by a turbine.

Notable features:

- A small and unified implementation for both propellers and turbines
- A model for coaxial rotors
- Optimization of rotor parameters

Installation
------------

To install the package, first ensure that the following required libraries are installed:

- numpy
- scipy
- matplotlib
- pandas
- sphinx (for documentation)

These can be installed using the provided ``requirements.txt``,

.. code-block:: console

        pip install -r requirements.txt

Next, the package can be installed using pythontools:

.. code-block:: console

        python setup.py install

Alternatively, just add the pybemt directory to the PYTHONPATH.

Documentation
-------------

Examples on how to use the package are given in the examples directory.
Documentation is hosted on https://pybemt.readthedocs.io/ 

Contributions
-------------

Contributions are encouraged via pull requests, feature requests and bug reports on GitHub. 

License
-------

This software is released under the MIT license. See the LICENSE file for license rights and limitations.

Owner

  • Name: Knut Erik T. Giljarhus
  • Login: kegiljarhus
  • Kind: user
  • Location: Stavanger, Norway
  • Company: University of Stavanger

Associate Professor in Fluid Dynamics

JOSS Publication

pyBEMT: An implementation of the Blade Element Momentum Theory in Python
Published
September 07, 2020
DOI
Volume 5, Issue 53, Page 2480
Authors
Knut Erik T. Giljarhus ORCID
Department of Mechanical and Structural Engineering and Materials Science, University of Stavanger, Stavanger, Norway
Editor
Stefan Pfenninger ORCID
Tags
BEMT Wind energy Tidal energy Aerodynamics Aerospace Aeronautics
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GitHub Events

Total
  • Watch event: 13
  • Fork event: 7
Last Year
  • Watch event: 13
  • Fork event: 7

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 47
  • Total Committers: 4
  • Avg Commits per committer: 11.75
  • Development Distribution Score (DDS): 0.064
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Knut Erik Giljarhus k****s@u****o 44
Stefan Pfenninger s****n@p****g 1
Knut Erik T. Giljarhus k****t@g****m 1
EngenMe 8****e 1
Committer Domains (Top 20 + Academic)
pfenninger.org: 1 uis.no: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 6
  • Total pull requests: 2
  • Average time to close issues: about 1 month
  • Average time to close pull requests: 2 months
  • Total issue authors: 5
  • Total pull request authors: 2
  • Average comments per issue: 1.0
  • Average comments per pull request: 1.5
  • Merged pull requests: 2
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • HYB777 (2)
  • rafmudaf (1)
  • HOJYU (1)
  • tom634 (1)
Pull Request Authors
  • EngenMe (1)
  • sjpfenninger (1)
Top Labels
Issue Labels
Pull Request Labels

Dependencies

requirements.txt pypi
  • Sphinx >=2.4.0
  • matplotlib >=3.1.3
  • numpy >=1.18.1
  • pandas >=1.0.1
  • scipy >=1.4.1
  • sphinx-rtd-theme >=0.4.3