Tim Stallard

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Professor and Head of Department

The University of Manchester

United Kingdom

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About

Tim Stallard is a Professor and Head of Department at the University of Manchester, UK. His research areas focus on fluid dynamics, specifically the synthesis and characterization of turbulent flows, tidal turbines, and their environmental impacts. Recent publications include studies on the interaction of turbine wakes with seabed features and numerical modeling of offshore wind-farm cluster wakes.

Recent Grants

Grant: Close

Tidal Stream Energiser Project (TIGER)

Open Date: 2019-07-01

Close Date: 2022-06-01

Grant: Close

Supergen ORE hub 2018

Open Date: 2018-06-30

Close Date: 2022-06-29

Grant: Close

ALL-TTidal: Arrays of Long Life Turbines for Tidal

Open Date: 2014-09-30

Close Date: 2015-06-29

Grant: Close

Step-WEC: STEP CHANGE FOR WAVE ENERGY CONVERSION THROUGH FLOATING MULTI-BODY MULTI-MODE SYSTEMS IN SWELL

Open Date: 2013-06-27

Close Date: 2016-09-29

Grant: Close

X-MED: EXtreme Loading of Marine Energy Devices due to Waves, Current, Flotsam and Mammal Impact

Open Date: 2012-02-01

Close Date: 2015-07-30

Articles (20)

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2022

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2022

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2022

Collaborators (11)

Andrew Folkard

University of Lancaster

UNITED KINGDOM

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David M. Schultz

Professor of Synoptic Meteorology

The University of Manchester

UNITED KINGDOM

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Sylvain S. GUILLOU

Professor

École Nationale Supérieure d'Ingénieurs de Caen et Centre de Recherche

FRANCE

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Jérôme Thiébot

Associate professor

Université de Caen Normandie

FRANCE

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David Apsley

The University of Manchester

UNITED KINGDOM

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Ben Parkes

The University of Manchester

UNITED KINGDOM

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Francis Watson

The University of Manchester

UNITED KINGDOM

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Pablo Ouro

The University of Manchester

UNITED KINGDOM

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Barbara Brooks

Head, NCAS Atmospheric Measurement Facility (AMF)

University of Leeds

UNITED KINGDOM

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Karim Ali

Graduate Teaching Assistant

The University of Manchester

UNITED KINGDOM

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Samuel Draycott

The University of Manchester

UNITED KINGDOM

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Tim Stallard

Research Interests

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About

Recent Grants

Articles (20)

Synthesis and characterisation of turbulent flows to predict fatigue loading of tidal turbines in arrays

Influence of seabed irregularity on the wake of a tidal turbine

Characterisation of turbulent flow and the wake of a tidal stream turbine in proximity to ridges of differing length

Numerical modelling of offshore wind-farm cluster wakes

Unsteady Loading on a Tidal Turbine Due to the Turbulent Wake of an Upstream Turbine Interacting with a Seabed Ridge

Numerical study of the effect of a ridge on the wake and loading of a tidal stream turbine

Environmental impacts from large-scale offshore renewable-energy deployment

Wake characteristics behind a tidal turbine with surface waves in turbulent flow analyzed with large-eddy simulation

A diffusion-based wind turbine wake model

Characterisation of turbulent flow and the wake of a tidal stream turbine in proximity to a ridge

Assessment of Five Wind-Farm Parameterizations in the Weather Research and Forecasting Model: A Case Study of Wind Farms in the North Sea

Power density capacity of tidal stream turbine arrays with horizontal and vertical axis turbines

Turbine fatigue load prediction from field measurements of waves and turbulence

Assessment of turbulence correction for actuator-line model of a horizontal-axis tidal stream turbine in near-wake region

Evaluation of Model Predictions of the Unsteady Tidal Stream Resource and Turbine Fatigue Loads Relative to Multi-Point Flow Measurements at Raz Blanchard

Accuracy of WRF for prediction of operational wind farm data and assessment of influence of upwind farms on power production

Impact of spatially varying flow conditions on the prediction of fatigue loads of a tidal turbine

Analysis of the kinetic energy recovery behind a tidal stream turbine for various submergence levels

Analysis of tidal turbine blade loading due to blade scale flow

Total wave power absorption by a multi-float wave energy converter and a semi-submersible wind platform with a fast far field model for arrays

Collaborators (11)

Andrew Folkard

David M. Schultz

Sylvain S. GUILLOU

Jérôme Thiébot

David Apsley

Ben Parkes

Francis Watson

Pablo Ouro

Barbara Brooks

Karim Ali

Samuel Draycott

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