Category Archives: Open-access databases

H2020 OPERA Project – Mutriku database

As part of the OPERA H2020 project, the Mutriku Wave Power Plant is being used as a real condition laboratory for the experiment of innovative technologies. The plant is situated in the Basque Country and has been operating since 2011.

This repository publishes the IST Biradial turbine operating data collected at the Mutriku wave power plant from July 2017 to June 2018 within the framework of WP4.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 654.444.

The biradial turbine installed at the Mutriku power plant W640

Open Sea Operating Experience – Opera

opera-h2020.eu

OPERA is a European wave energy project which aims to collect long-term open-sea operating data from offshore and shore installed devices, delivery results for reducing structural costs and greatly increase power production, reduce technology-related uncertainties and advance standards for reducing business risk.

Open-access Journals

The number of open-access journals and publications is growing rapidly. These publications can be viewed and assessed by a wider audience, allowing for a broader and more rapid spread of the research. Open-access publishing operates in the same manner as a traditional journal,  except that the cost of publishing is covered by the author or a funding body. Once a publication is accepted, it becomes available for free online. A lot of offshore renewable energy research is undertaken by small companies with limited budgets, and just like in the case of open-source software, having free resources can have a huge impact.

But wait, there’s more!

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

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