||Allsop, S., Peyrard, C., Thies, P.R., Boulougouris, E. and Harrison, G.P. Hydrodynamic analysis of a ducted, open centre tidal stream turbine using blade element momentum theory, Ocean Engineering, 141: 531-542, 2017. https://doi.org/10.1016/j.oceaneng.2017.06.040. Cite this using DataCite
||Allsop, S., Peyrard, C., Thies, P.R., Boulougouris, E. and Harrison, G.P.
||University of Edinburgh, Electricité de France, University of Exeter, University of Strathclyde
||Ocean Engineering, 141: 531-542
||This paper analyses two different configurations of horizontal axis Tidal Stream Turbines (TSTs) using a Blade Element Momentum Theory (BEMT) model. Initially, a “conventional” three bladed and bare turbine is assessed, comparing against experimental measurements and existing literature. Excellent agreement is seen, increasing confidence in both the implementation of the theory and the applicability of the method. The focus of the paper lies on the analysis of a ducted and open centre turbine. An analytical adjustment to the BEMT model is applied, using empirical expressions detailed in the literature which are devised from Computational Fluid Dynamics (CFD) studies. This is modified to a symmetrical duct profile, calibrating certain geometrical parameters against blade resolved CFD studies of a bi-directional device. The results are validated with a coupled CFD blade element model (RANS BEM), where both models align very closely (within 2%) for most tip speed ratios (TSRs), including the peak power condition. Over predictions are seen at higher TSRs of up to 25% in power and 13% in thrust at TSR = 5, due to model limitations in replicating fully the complex flow interactions around the hub and the open centre. The presented approach benefits from significantly lower computational requirements, several orders of magnitude lower than reported in the RANS-BEM case, allowing practicable engineering assessments of turbine performance and reliability.
This work was partly funded via IDCORE, the Industrial Doctorate Centre for Offshore Renewable Energy, which trains research engineers whose work in conjunction with sponsoring companies aims to accelerate the deployment of offshore wind, wave and tidal-current technologies
- A BEMT model for 3 bladed bare turbines is validated with experimental data.
- A BEMT model incorporating analytical adjustments for ducted flow is developed.
- Rotor power and thrust are comparable to a coupled RANS BEM study.
- Over predictions at high TSRs are located towards the open centre hub.
- Significant computational cost savings are recorded compared with CFD.
||ETI-MA2003: Industrial Doctorate Centre for Offshore Renewable Energy (IDCORE)
||No associated datasets
A model to map levelised cost of energy for wave energy projects
An Integrated Data Management Approach for Offshore Wind Turbine Failure Root Cause Analysis
An investigation of the effects of wind-induced inclination on floating wind turbine dynamics: heave plate excursion
Application of an offshore wind farm layout optimization methodology at Middelgrunden wind farm
Characterisation of current and turbulence in the FloWave Ocean Energy Research Facility
Characterization of the tidal resource in Rathlin Sound
Comparison of Offshore Wind Farm Layout Optimization Using a Genetic Algorithm and a Particle Swarm Optimizer
Component reliability test approaches for marine renewable energy
Constraints Implementation in the Application of Reinforcement Learning to the Reactive Control of a Point Absorber
Control of a Realistic Wave Energy Converter Model Using Least-Squares Policy Iteration
Cost Reduction to Encourage Commercialisation of Marine in the UK
Cumulative impact assessment of tidal stream energy extraction in the Irish Sea
Design diagrams for wavelength discrepancy in tank testing with inconsistently scaled intermediate water depth
Development of a Condition Monitoring System for an Articulated Wave Energy Converter
Dynamic mooring simulation with Code(-)Aster with application to a floating wind turbine
Environmental interactions of tidal lagoons: A comparison of industry perspectives
ETI Insights Report - Wave Energy
Exploring Marine Energy Potential in the UK Using a Whole Systems Modelling Approach
Hybrid, Multi-Megawatt HVDC Transformer Topology Comparison for Future Offshore Wind Farms
Offshore wind farm electrical cable layout optimization
Offshore wind installation vessels - A comparative assessment for UK offshore rounds 1 and 2
Optimisation of Offshore Wind Farms Using a Genetic Algorithm
Quantifying uncertainty in acoustic measurements of tidal flows using a “Virtual” Doppler Current Profiler
Reactive control of a two-body point absorber using reinforcement learning
Reactive control of a wave energy converter using artificial neural networks
Re-creation of site-specific multi-directional waves with non-collinear current
Reliability and O & M sensitivity analysis as a consequence of site specific characteristics for wave energy converters
Reliability prediction for offshore renewable energy: Data driven insights
Resource characterization of sites in the vicinity of an island near a landmass
Review and application of Rainflow residue processing techniques for accurate fatigue damage estimation
Sensitivity analysis of offshore wind farm operation and maintenance cost and availability
Simulating Extreme Directional Wave Conditions
Testing Marine Renewable Energy Devices in an Advanced Multi-Directional Combined Wave-Current Environment
Testing the robustness of optimal access vessel fleet selection for operation and maintenance of offshore wind farms
The effects of wind-induced inclination on the dynamics ofsemi-submersible floating wind turbines in the time domain
The Industrial Doctorate Centre for Offshore Renewable Energy(IDCORE) - Case Studies
The power-capture of a nearshore, modular, flap-type wave energy converter in regular waves
The SPAIR method: Isolating incident and reflected directional wave spectra in multidirectional wave basins
UK offshore wind cost optimisation: top head mass (Presentation to All Energy, 10th May 2017)