Gregory Pinon

Professor

Normandie Université

France

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Professor Gregory Pinon is a faculty member at Normandie Université in France. His research focuses on computational fluid dynamics (CFD), tidal turbine performance, and the validation of vortex particle methods, as evidenced by his recent articles. His work includes studies on blade element momentum models, pressure loads on oscillating water columns, and the interaction effects among tidal turbines. Professor Pinon contributes to advancing the understanding of turbulence effects in renewable energy applications.

Articles (10)

Year:

2024

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2024

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2023

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2022

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2021

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2021

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2021

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2020

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2020

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2020

Collaborators (6)

Christopher Vogel

University of Oxford

UNITED KINGDOM

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Michael Togneri

Lecturer

Swansea University

UNITED KINGDOM

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Julien Reveillon

Professor

University of Rouen

FRANCE

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Javier Lara

Associate Professor

Universidad de Cantabria

SPAIN

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MARC BATLLE I MARTIN

Barcelona Supercomputing Center

SPAIN

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Federico Zilic de Arcos

University of Oxford

UNITED KINGDOM

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Gregory Pinon

Research Interests

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Articles (10)

A CFD Study on High‐Thrust Corrections for Blade Element Momentum Models

Development and validation of a lifting‐line code associated with the vortex particle method software Dorothy

Computations of pressure loads on an oscillating water column with experimental comparison for random waves

Flat plate pressure impact on a still water surface: The effect of surrounding ambient pressure and plate size

Lagrangian Vortex Computations of a Four Tidal Turbine Array: An Example Based on the NEPTHYD Layout in the Alderney Race

Computations of soliton impact onto a vertical wall: Comparing incompressible and compressible assumption with experimental validation

Turbine design dependency to turbulence: An experimental study of three scaled tidal turbines

Three tidal turbines in interaction: An experimental study of turbulence intensity effects on wakes and turbine performance

Comparison of synthetic turbulence approaches for blade element momentum theory prediction of tidal turbine performance and loads

A stochastic method to account for the ambient turbulence in Lagrangian Vortex computations

Collaborators (6)

Christopher Vogel

Michael Togneri

Julien Reveillon

Javier Lara

MARC BATLLE I MARTIN

Federico Zilic de Arcos

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