UNH-RVAT baseline performance and near-wake measurements

The Reference Vertical Axis Turbine (RVAT) experiments were tidal turbine tests conducted “with a 1 m diameter, 1 m tall three-bladed vertical axis turbine in a towing tank” by Peter Bachant and Martin Wosnik of the Center for Ocean Renewable Energy at the University of New Hampshire. For more info, see their paper.

They have released a repository on GitHub, which contains the processing and plotting code, as well as the derived data set from the UNH-RVAT tow tank measurements performed in Spring 2013: github.com/UNH-CORE/RVAT-baseline

Advertisements

UNH-RVAT Reynolds number dependence experiment

Researchers, Peter Bachant and Martin Wosnik,  of the Center for Ocean Renewable Energy at the University of New Hampshire  “investigated—experimentally and numerically—the effects of Reynolds number on the performance and near-wake characteristics of a 3-bladed cross-flow turbine” For more info, see their METS paper.

Their are releasing the processing and plotting code, as well as the derived dataset from the UNH-RVAT Reynolds for free on GitHub: github.com/UNH-CORE/RVAT-Re-dep

 

turbinesFOAM

turbinesFoam is a library for simulating wind and marine hydrokinetic turbines in OpenFOAM (2.3.x). Some components for solvers and turbine models have been taken from NREL’s SOWFA and Offwind.

Get it on GitHub: github.com/turbinesFoam/turbinesFoam

This library is in heavy development and is not yet fully functional, but pull requests are encouraged!

For now, check out their videos:

Wave Farm Code – mwave

bitmap

Wave energy converters (WECs) will be deployed in groups or “wave farms”. The hydrodynamic interactions between WECs in a wave farm (i.e. how waves that are absorbed, scattered, or radiated by one WEC affect the others) will have siginificant impacts on the overall power performance of the wave farm.

A recently published paper by researchers at The University of Edinburgh titled “A novel method for deriving the diffraction transfer matrix and its application to multi-body interactions in water waves” presents a new method for computing wave farm performance with results from commercial software. Using the theory, WEC array interactions can be computed on the order of 1,000-10,000 times faster than with standard methods.  However, the method presented in the paper is still somewhat complicated to implement, which would make it difficult for others to employ it.

Open source to the rescue! The authors have chosen to share the wave farm code used in the paper for free. The Matlab package that they developed, including examples of WEC array performance, can be found on GitHub:

mwave

The authors chose to release the code to increase the impact of the work. The code is already being used by another researcher at Oregon State University as part of his wave farm design optimization work and is being evaluated for use by the International DTOcean project, which “aims at accelerating the industrial development of ocean energy power generation knowledge, and providing design tools for deploying the first generation of wave and tidal energy converter arrays.”

International collaboration, increased impact

It turns out that when scientists collaborate internationally, they are more like to have an impact on science than purely domestic collaborations.

Check out this really interesting story from NPR on international reseach collaboration:

http://www.npr.org/2014/12/15/370878827/why-some-scientific-collaborations-are-more-beneficial-than-others