| Citation |
Gray, A., Dickens, B., Bruce, T., Ashton, I. and Johanning, L. Reliability and O & M sensitivity analysis as a consequence of site specific characteristics for wave energy converters, Ocean Engineering, 141: 493-511, 2017. https://dx.doi.org/10.1016/j.oceaneng.2017.06.043. Cite this using DataCite |
| Author(s) |
Gray, A., Dickens, B., Bruce, T., Ashton, I. and Johanning, L. |
| Project partner(s) |
University of Edinburgh, Quoceant Ltd, University of Exeter |
| Publisher |
Ocean Engineering, 141: 493-511 |
| DOI |
https://dx.doi.org/10.1016/j.oceaneng.2017.06.043 |
| Abstract |
Estimates for lifetime costs of wave energy arrays are difficult to obtain due to the uncertainty surrounding weather windows and failure rates for wave energy converters (WECs). An operations & maintenance (O&M) simulation tool has been used to assess the sensitivity of WEC failure rates on the profitability of a wave farm, with the Pelamis P2 device used as a case study. Two offshore wave energy sites in the UK have been characterised and presented in terms of accessibility for marine operations and power generation. It was found that a wave farm at one site would incur higher costs due to vessels having to wait longer for suitable weather windows. This was balanced by higher generated revenue, showing how the tool can be used to support strategic planning and site selection. The results identify the sensitivity to failure rate estimations for different components, helping target future work to reduce uncertainties and costs. The results highlight the need for WEC developers to collaborate closely with component manufacturers in order to design the best device possible for the challenging marine environment. Collaboration enables more realistic failure rate estimates to be obtained, leading to better understanding of the operational costs for commercial wave energy farms.
Highlights- This paper offers an extensive insight into modelling operations and maintenance strategies for wave energy arrays.
- There are two themes in the study; site characterisation and subsequent sensitivity analysis of failure rate estimations.
- The results highlight the need for WEC developers to collaborate closely with component manufacturers.
- Collaboration enables more realistic failure rate estimates to be obtained, leading to better understanding of OPEX.
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 |
| Associated Project(s) |
ETI-MA2003: Industrial Doctorate Centre for Offshore Renewable Energy (IDCORE) |
| Associated Dataset(s) |
No associated datasets |
| Associated Publication(s) |
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 ETI Insights Report - Wave Energy Environmental interactions of tidal lagoons: A comparison of industry perspectives 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 Hydrodynamic analysis of a ducted, open centre tidal stream turbine using blade element momentum theory 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 Re-creation of site-specific multi-directional waves with non-collinear current Reactive control of a two-body point absorber using reinforcement learning Reactive control of a wave energy converter using artificial neural networks 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 Industrial Doctorate Centre for Offshore Renewable Energy(IDCORE) - Case Studies The SPAIR method: Isolating incident and reflected directional wave spectra in multidirectional wave basins The effects of wind-induced inclination on the dynamics ofsemi-submersible floating wind turbines in the time domain The power-capture of a nearshore, modular, flap-type wave energy converter in regular waves UK offshore wind cost optimisation: top head mass (Presentation to All Energy, 10th May 2017) |
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