Finance grade wind measurements with masts and lidars in complex terrain - (PPT)

摘要

The financing terms agreed between lending institutions and wind farm developers are a critical element in determining the financial success of an operational wind farm. Terms are negotiated based upon a number of project specific details used to model the financial viability of the project. From those details one of the most significant is the projected annual revenue. In this study we aim to demonstrate the equivalence of projected annual revenue based on high quality mast measurements (30m and 45m agl) with duration of one year and lidar measurements (40m, 62m, 80m, 110m, 140m) for duration of four months (using MCP Matrix method with 45m mast measurements to expand to one year - excellent correlation) for two windfarms of total capacity of 34MW (2MW windturbines with hub height of 80m). The research team examines the financial benefits of using hub - and higher than hub height - measured data compared to using sub-hub height mast measurements. The financial analysis is based on long term corrected energy yield assessment calculations (WAsP and WindPro software packages), using measurements from masts and lidars with the above mentioned measurement heights. The uncertainty analysis will be done for P50, P75 and P90 confidence level and the deviation of the seven different scenarios (two level of measurements from mast and five levels from lidar - MCP with 45m level of mast) will be extracted. Additionally, the uncertainty will be calculated for one, ten and twenty years. Finally, the financial measures of IRR, NPV for twenty years period and payback period will be presented. The results demonstrate the ability of the lidar to measure finance grade wind data in complex terrain.