Repository for UNH-RVAT Reynolds number dependence experiment.
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Documents/IPython notebooks

UNH-RVAT Reynolds number dependence experiment

This repository contains the processing and plotting code, as well as the derived dataset from the UNH-RVAT Reynolds number dependence experiment performed in Spring 2014.

Getting started

Clone this repository with

git clone

To run the processing/plotting code we recommend the Anaconda Python distribution (Python 3.5) since it includes most dependencies. The remaining can be installed by executing

pip install progressbar33 pxl>=0.0.8

After installing all dependencies, execute python to generate figures from the experiment.


To contribute to this repository, please create a fork, add changes on a descriptively-named branch, and submit a pull request.

Documents and other resources

How to cite

Please cite

Bachant, P. and Wosnik, M. (2016) UNH-RVAT Reynolds number dependence experiment: Reduced dataset and processing code. figshare. DOI: 10.6084/m9.figshare.1286960.v5


These data were used in the following publications:

Bachant, P. and Wosnik, M. (2016) Effects of Reynolds Number on the Energy Conversion and Near-Wake Dynamics of a High Solidity Vertical-Axis Cross-Flow Turbine. Energies, 9

Bachant, P. and Wosnik, M. (2014) Reynolds Number Dependence of Cross-Flow Turbine Performance and Near-Wake Characteristics. In Proceedings of the 2nd Marine Energy Technology Symposium METS2014, April 15--18, Seattle, WA


Code licensed under the MIT license. See LICENSE for details. All other materials licensed under a Creative Commons Attribution 4.0 International License.

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