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Application Analysis on Resource Assessment of Wind Fram Using WAsP Model

Author: WangZuo
Tutor: XuZuo
School: Zhejiang University of Technology
Course: Thermal Power Engineering
Keywords: WAsP SRTM wind farm wind resource assessment numerical simulation
CLC: TM614
Type: Master's thesis
Year: 2012
Downloads: 114
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Abstract


The development and utilization of wind energy is the most grown technique amongrenewable energy. In order to improve the energy structure and accelerate the utilization ofwind energy, wind resource assessment has been intensified in China in recent years. A fastand efficient method of wind energy resource assessment and wind farm site selection getsmore attention, which becomes a hit issue for many scholars at present.In order to reduce the costs of wind resource assessment and improve thescientificalness of the wind farm’s development, wind resource assessment of ZhoushanCengang wind farm and its 23 Wind Turbine Generators’ sites selection in the Mamu Hillhave been studied by Denmark wind resource assessment software—WasP. In addition,WAsP model calculation errors and wind farm’s security level have been analyzed in thispaper. The main work and results are as follows:1. Wind data was from national standard weather station having nearly 60 yearsobservation records near the Cengang wind farm, I used WAsP Climate Analyst to carry outstatistical calculations and model validation. The results show that it is reasonable for WAsPmode to estimate wind energy using Weibull distribution.2. Because there was often restrictions on terrain mapping and inspection of the surfacecondition, taking the Mamu mountain of Cengang wind farm as an example, tried usingSRTM terrain elevation data with 90m resolution to draw electronic topographic map, whichwas WAsP model required, and given a specific process. Then draw obstacle group androughness file around the weather stations using GoogleEarth software. The above works laidfoundation for the wind farm calculation with WAsP mode.3. Made wind turbine power curve according to the actual wind turbine parameters ofCengang wind farm, and then combined with grids to compute out of the wind resource maps,therefore we could determine the arrangement of the 23 WTG in Mamu hill. Study found thatannual energy output of the wind farm calculated from WAsP was about 10.27% higher than the actual value.4. For WAsP model errors，wind speed and power generation errors in this region werecalculated by RIX index method, so determined the wind speed error was -1.9% and thepower output error was about 2.32%. Then a research focused on the wind farm’s securitylevel was carried out, to simulate 50-years of extreme maximum wind speed (3s) of each fanon its hub height. Finally found that the 23 seats in five were in IEC2, and the rest 18 at IEC3,and this work provided references for determining fan’s style, locating of hazardous sites, androutine maintenance and so on.

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