Wave energy extracting near Siri Island by using new energy converter type selection coefficient
摘要
This study investigated wave energy and the energy extracted by wave energy converters near Siri Island. For this purpose, the results of a 40-year (1979–2018) wind-wave simulation study, conducted using SWAN (Simulating WAve Nearshore) numerical model, were utilized. Several converters were analyzed, and the results showed that the Wave Dragon converter had the highest potential energy extraction at the studied location during winter and over the entire year, while the Sea-Based converter had the lowest. The estimated energy extraction in winter was approximately 18% higher than the annual average. Among the converters, the Pontoon converter exhibited the smallest seasonal variation, with a 4% difference between winter and the annual average, whereas the Archimedes converter showed the largest variation, with a 29% difference. To aid in selecting the most efficient converter, a new dimensionless Energy Converter Type Selection coefficient was introduced. This coefficient accounted for the extracted energy potential along with short-term, mid-term, and long-term sustainability. The results indicated that despite the significant difference in potential energy extraction between the Pontoon and Wave Dragon converters, their Energy Converter Type Selection coefficients, which reflect both the amount and sustainability of extracted energy, showed only a small variation. Therefore, both converters could be considered suitable for the study area.