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Layout Optimization Of Distributed Wind Turbine With Considering Of Natural Wind Characteristics

Posted on:2021-02-25Degree:MasterType:Thesis
Country:ChinaCandidate:Y WangFull Text:PDF
GTID:2392330614460723Subject:Engineering
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Distributed wind power is a kind of local development mode,which can effectively improve energy utilization efficiency and promote local economic and social development,and has become one of the future development priorities of China's wind power industry.Because of its proximity to the consumer side,the development environment is quite different from the traditional centralized wind power in terms of wind resource stability and ground-surface environment.This will affect the overall operational benefits of the wind farm.In addition,there are many constraints on the layout of distributed wind power.such as land resources,transmission conditions,etc.Which required that wind turbines layout work needs to be more flexible.Therefore,it is very important to explore the influence of atmospheric boundary factors such as wind shear and turbulence that cause instability of wind resources on the wake characteristics and wake interference of wind turbines in the optimization of distributed wind power.This paper focuses on the applicability of numerical methods,the influence of natural wind characteristics on wind turbines,and the optimization of distributed wind power layout.The main contents are as follows:(1)The numerical calculation is based on RANS method,the rotation of the wind rotor through the sliding mash,turbulence and wind shear are realized by inlet boundary and field function.The accuracy of meshing was determined by the independence verification.The turbulence model in the viscosity calculation is compared with open experiments in terms of power characteristics and wake distribution,respectively.The results show that the numerical results of the SST k-? turbulence model are more accurate.(2)Explore the impact of natural wind characteristics on large-scale wind turbines can provide a reliable basis for layout work.Natural wind characteristics including the most obvious turbulence and wind shear in the atmospheric boundary layer.Different inflow turbulence intensity and wind shear index are selected to represent different natural wind characteristics,and the three-dimensional numerical calculation of single wind turbine is performed.Focused on exploring the diffusion mechanism and power characteristics of wake characteristics,research shows that that complex natural winds can accelerate the diffusion and mixing of wakes and promote their recovery,but the operational benefits of wind turbines are subject to certain loss.The layout optimization in the complex environment of distributed wind power should make full use of this characteristic.(3)Furthermore,the three-dimensional flow numerical calculation of double wind turbines is carried out for wake interference.Consider wind turbine layouts of tandem,parallel and staggered to find the best fit.To evaluate the degree of influence of inflow turbulence and wind shear on wake interference,to guide the layout optimization of distributed wind power in complex environment.Reference to the optimal layout experience of centralized wind power,comparing the wind fields under two prevailing wind conditions,combined with WAs P and CFD methods,discuss factors such as power generation,wake loss,economic index,layout efficiency and other factors at different distances and deviation angles,and determine the optimal layout method to provide a reference for the development of distributed wind power.The results show that the areas with high turbulence and wind shear will promote wake recovery of upstream wind turbines,layout spacing can be reduced appropriately;The staggered layout is more suitable for practical engineering,with spacing d?4D and deviation angle between 50° and 70°,which can better realize flexible layout.
Keywords/Search Tags:distributed wind power, turbulence model, natural wind characteristics, wake interference, layout optimization
PDF Full Text Request
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