Posters

Abstract

In this study, the impact of different measurement strategies on WRF based wind resource results for a Japanese near shore site were studied. Vortex FARM offers a calibration tool which makes possible to adjust modeled wind output with multiple wind measurement datasets. We compared several outputs generated by only inputting coastline measurement data for the calibration, offshore met mast data and multiple measurements permutations as part of a sensitivity study to the calibration input. Significant impact was found in near shore areas which confirm the importance of measurement campaign for accurate wind resource assessment. In Japan, offshore wind energy is growing, with the Japanese government confirming targets of eliminating greenhouse gas emissions by 2050 and increasing offshore wind farm capacity to 10GW capacity by 2030. To meet this timeline, the Japanese government is using an auction process where developers bid for wind development projects for which the accuracy and reliability of the offshore measurements are very important. near shore projects(2-10km) are familiar and there are many measurement systems for accurate wind resource assessments. For reasonable wind resource assessment, we also need to understand not only measurement side but also wind resource assessment, wind simulation by using measurement data. Green Power investment is a Japanese developer and believes the importance of measurement for reducing risk related to wind resource assessments. At a site, we installed a lot of measurements, offshore met mast & single scanning LiDAR at south, Dual scanning LiDAR at north and met masts at coastline. For wind resource assessment, we use a wind model to see wind resource distribution to catch the character of site. Vortex FARM is a reliable WRF-based wind simulation model is generally accurate enough to determine offshore wind conditions. Vortex meso-scale meteorological model is suitable for offshore wind because weather model can take into consider of daily weather phenomenon which has a big impact in offshore area. In this study, we run several cases of Vortex FARM where different wind measurement observations were used to check the impact on wind resource and compared average hub height wind speed at turbine location which we assuming layout. In experience, we set 4 cases. Case 1 is that we input whole measurement system which we have. Case 2, we input coastline data sets and south offshore measurement system(single scanning LiDAR and offshore met mast), Case 3, we input coastline data sets and north offshore measurement system(Dual scanning LiDAR). Case 4, input only coastline data sets (met masts). In conclusion, maximum error is 6% we can see in average hub height wind speed at turbine locations in 4 cases. We hope that this study will provide value for wind analyst confirm impact related measurement system on wind resource assessment in Japan and good insight to plan reasonable wind measurement campaign at several developing phase, it also leads to increase wind resource reliability for future.