Mapped economic modelling of wave energy

Abstract

A high level economic model has been developed to map wave energy performance and levelised cost of en-ergy (LCOE). It takes time-series, gridded hindcast wave data, for example generated by SWAN (Simulating WAves Nearshore) software. Interpolating this data against a device power matrix, the wave conditions are converted to power, and then to LCOE using a discounting method and considering capital and operational costs. The results are presented as maps, which serve as high level site assessment tools and allow the most cost-competitive sites to be established. Initial results have been generated for Albatern Ltd, a Scottish wave energy developer and industrial part-ner of the research project. Their technology is the WaveNET, a small-scale array based device which is con-structed from 7.5 kW rated modular units (known as “Squids”). LCOE Maps have been created for a domain covering the Scottish Western Isles, as well as for NOAA hindcast datasets for regions around the world. This paper includes a sample case study, comparing the LCOE for a device concept at two different scales. The re-sults found that, while the larger device performs better over the majority of the area, there are places where the smaller device has a better LCOE, sometimes by as much as 20-30 p/kWh. These are in the more sheltered regions, and imply both that there is not a one fit all solution to wave energy, and that device scale is a param-eter which could be tuned for location