Details

Autor(en) / Beteiligte

• Dayal, Kunal K.
• Bellon, Gilles
• Cater, John E.
• Kingan, Michael J.
• Sharma, Rajnish N.

Titel

High-resolution mesoscale wind-resource assessment of Fiji using the Weather Research and Forecasting (WRF) model

Ist Teil von

• Energy (Oxford), 2021-10, Vol.232, p.121047, Article 121047

Ort / Verlag

Oxford: Elsevier Ltd

Erscheinungsjahr

2021

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• This study presents a high-resolution mesoscale wind-resource assessment of the small island developing state (SIDS) of Fiji using a 10-year simulation of the Weather Research and Forecasting (WRF) model with convection-permitting resolution. Our analysis evaluates the wind speed and Weibull distributions, diurnal and seasonal wind speed patterns, resource maps of annual and seasonal wind speed, power density, model statistical analysis and interannual wind speed variability. The results reveal that the WRF-model simulated wind resource parameters are in good agreement with observations at 24 existing weather stations. At 55 m above ground, the annual mean wind speed and wind power density varies from 1.5 m/s to 8 m/s and 50 W/m2 to 300 W/m2, respectively, for onshore land areas. Higher wind speeds are observed during austral winter than in austral summer. Forty high wind-resource areas are identified in this study, which were previously unknown. This indicates that there is potential for utility-scale wind power generation at selected locations with wind speed and power density greater than 6.4 m/s and 300 W/m2 (NREL, Wind Power Class 3). An estimated 1000 MW theoretical potential installed capacity is available for utility-scale wind power applications on Viti Levu and Vanua Levu. •Assessment of mesoscale wind resource for the SIDS of Fiji at a high-resolution.•WRF model simulated wind-resource parameters are in good agreement with the observations.•WRF model provides reliable information on the wind resource for the SIDS of Fiji.•Forty potential sites identified that were previously unknown.•1000 MW theoretical potential installed capacity available for utility-scale wind power applications.