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Reference Number InnUK/102239/01
Title SWEPT2
Status Completed
Energy Categories RENEWABLE ENERGY SOURCES(Wind Energy) 100%;
Research Types Applied Research and Development 100%
Science and Technology Fields ENGINEERING AND TECHNOLOGY (Mechanical, Aeronautical and Manufacturing Engineering) 100%
UKERC Cross Cutting Characterisation Not Cross-cutting 100%
Principal Investigator Project Contact
No email address given
Garrad Hassan and Partners Ltd
Award Type Collaborative Research & Development
Funding Source Innovate-UK
Start Date 01 May 2015
End Date 30 April 2018
Duration 36 months
Total Grant Value £678,400
Industrial Sectors
Region South West
Programme Competition Call: 1405_CRD_ENE_GEN_ENCATMSR1 - Energy Catalyst Mid Stage Round 1. Activity Energy Catalyst Rnd 1 Mid Stage
 
Investigators Principal Investigator Project Contact , Garrad Hassan and Partners Ltd (45.106%)
  Other Investigator Project Contact , Offshore Renewable Energy Catapult (16.863%)
Project Contact , Zenotech Limited (17.689%)
Project Contact , CFMS Services Limited (20.342%)
  Industrial Collaborator Project Contact , Chemical and Process Engineering, University of Strathclyde (0.000%)
Project Contact , Chemistry, Imperial College London (0.000%)
Project Contact , University of Bristol (0.000%)
Project Contact , University of Surrey (0.000%)
Project Contact , STFC Laboratories RAL Space (0.000%)
Web Site
Objectives The SWEPT2 consortium is funded via 5 EPSRC grants and one InnovateUK award : see EP/N508500/1, EP/N508512/1, EP/N508524/1, EP/N508536/1, EP/N508548/1, and InnUK/102239/01
Abstract

SWEPT2 follows the successful Simulated Wake Effects Platform for Turbines project to establish the viability of GPU-based fluid dynamics simulation of turbine array wake interaction effects. With a view to growing a UK-based technology supply chain, the original partners (DNV GL, Zenotech and the University of Bristol) will be joined by the Offshore Renewable Energy Catapult (providing access to LIDAR data for validation), STFC Daresbury (to apply the latest in big-data analytics to the challenge of comparing CFD & experimental data), CFMS (cloud computing integration and optimisation), and the universities of Surrey, Strathclyde and Imperial College to provide expertise in wake turbulence and wind tunnel data. SSE has agreed to independently assess the functionality and value of the service during the project.

SWEPT2 addresses the energy trilemma by (i) reducing costs, thus enabling a displacement of fossil fuels thereby (ii) cutting carbon emissions & (iii) reducing dependence on insecure imports.

Publications (none)
Final Report (none)
Added to Database 16/10/15