Toward best practice in the design of tidal turbine arrays

Autor: Bonar, Paul Andrew Jude

In recent years, much research has focused on the possibility of using arrays of turbines to generate clean and predictable power from tidal currents. The first such array is now in development but a number of important questions remain unanswered. A

Externí odkaz: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.757038

Social and ecological impacts of marine energy development

Autor: Bonar, Paul A.J., Bryden, Ian G., Borthwick, Alistair G.L.

Publikováno v: In Renewable and Sustainable Energy Reviews July 2015 47:486-495

Review of foundation and mooring design tools for marine energy

Autor: Bonar, Paul, Hussain, Majid, Jawalageri, Satish, Wright, Christopher, Desmond, Cian

Selkie (2019-2022) is a collaborative marine energy research and development project funded by the European Union’s Ireland-Wales Cooperation Programme. Its aim is to develop a set of multi-use tools, templates, standards, and models in key shared

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36b640281890d2094cad2472bd646c35

Anomalous wave statistics following sudden depth transitions: application of an alternative Boussinesq-type formulation.

Autor: Bonar, Paul A. J., Fitzgerald, Colm J., Lin, Zhiliang, van den Bremer, Ton S., Adcock, Thomas A. A., Borthwick, Alistair G. L.

Publikováno v: Journal of Ocean Engineering & Marine Energy; May2021, Vol. 7 Issue 2, p145-155, 11p

Numerical modelling of two-scale turbine flow dynamics

Autor: Borthwick, Alistair, Bonar, Paul, Venugopal, Vengatesan, Adcock, Thomas A.A.

Publikováno v: Borthwick, A, Bonar, P, Venugopal, V & Adcock, T A A 2016, Numerical modelling of two-scale turbine flow dynamics . in 5th Oxford Tidal Energy Workshop, 21-22 March 2016, Oxford UK .

Two-scale actuator disc theory is shown to predict qualitatively the performance of a lateral array of tidal turbines in a depth-averaged channel model. The agreement between the numerical and analytical models is improved by extrapolating the numeri

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3094::53d7f3f539544989176027497e1a358d
https://hdl.handle.net/20.500.11820/b972be1d-b890-4781-8b4f-0ff55ac8c16b