An economic model has been developed which allows the spatial dependence of wave energy levelised cost of energy (LCOE) to be calculated and mapped in graphical information system (GIS) software. Calculation is performed across a domain of points which define hindcast wave data; these data are obtained from wave propagation models like Simulating WAves Nearshore (SWAN). Time series of metocean data are interpolated across a device power matrix, obtaining energy production at every location. Spatial costs are calculated using Dijkstra's algorithm, to find distances between points from which costs are inferred. These include the export cable and operations, the latter also calculated by statistically estimating weather window waiting time. A case study is presented, considering the Scottish Western Isles and using real data from a device developer. Results indicate that, for the small scale device examined, the lowest LCOE hotspots occur in the Minches. This area is relatively sheltered, showing that performance is device specific and does not always correspond to the areas of highest energy resource. Sensitivity studies are performed, examining the effects of cut-in and cutout significant wave height on LCOE, and month on installation cost. The results show that the impact of these parameters is highly location-specific.
Control and Instrumentation (C&I) systems provide the framework for monitoring critical data streams and implementing control functions during the operation of a wave energy converter. However, cost and power constraints of wave energy converters present a challenge in designing a C&I architecture that is appropriate for the application. This study describes the design of a C&I system for an integrated wave energy array. A specification is first developed by defining operational requirements and design principles, measurement and control priorities are then identified, incorporating a failure mode and effects analysis. Available instrumentation options in the industry are reviewed and C&I topologies are presented. A distributed control system is proposed for the Albatern WaveNET Array, allowing for the implementation of control and protection strategies and condition monitoring. Improved C&I allows for the reduction of unplanned maintenance, maximising device availability for energy production.
An operations and maintenance (O&M) simulation tool has been developed with inputs specific to the off-grid array of wave energy converters designed by Scottish company Albatern Ltd. This paper takes the ongoing test programme of six 'Squid' wave energy devices as a case study for analysing several aspects of the O&M strategy for an off-grid wave energy array. The study demonstrates how the O&M simulation model can be a useful tool to inform contractual negotiations during the development phase of a wave energy array. Uncertainty in the model inputs is addressed by presenting the results of three different input scenarios.
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