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Research On Application Of Wind Energy Resource Fine Evaluation System In Wind Farm

Posted on:2018-12-14Degree:MasterType:Thesis
Country:ChinaCandidate:W LiuFull Text:PDF
GTID:2322330542480905Subject:Software engineering
Abstract/Summary:PDF Full Text Request
Wind energy resource assessment is an important component of wind farm planning and design,and its accuracy determines the profit of wind power projects.As wind farms are covering more and more intricate terrains,it becomes increasingly difficult to simulate wind energy resources.Therefore,it is of great value to study the fine assessment of wind energy resources in wind farms.In this paper,a representative wind farm is selected on intricate terrain and flat terrain respectively.It makes research on CFD model and linear model,two kinds of wind energy resource assessment systems widely used in the industry,and adopts representative assessment software of CFD model named WindSim and Meteodyn WT to take fine assessment in wind farms on different terrains.Based on corresponding data collected by nearby wind towers,wind speeds are calculated by analysis of different topographic map ranges and horizontal resolutions of model grids.By comparing speed errors under different schemes,the conclusion on the fine assessment of wind energy resources in wind farms is finally reached.The most reasonable schemes to evaluate wind energy resources,based on fine assessment by WindSim and Meteodyn WT,are 4km-50 and 2km-80 respectively on intricate terrain,and 6km-50 and 2km-80 on flat terrain.In linear model,fine assessment results are applied to estimate power generation and to calculate wind speed collected by wind towers.It shows that the linear model is more suitable for wind energy resource assessment in wind farms on flat terrains,and CFD model for assessment on intricate terrains,whose estimation of power generation are more conservative.
Keywords/Search Tags:Wind energy resource, Fine assessment, Intricate terrain, Flat terrain, CFD mode, Linear mode
PDF Full Text Request
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