MAXIMIZING THE FINANCIAL RETURNS OF USING LIDAR SYSTEMS IN WIND FARMS FOR YAW ERROR CORRECTION APPLICATIONS

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dc.contributor.advisorSandborn, Peter Aen_US
dc.contributor.authorBakhshi, Roozbehen_US
dc.contributor.departmentMechanical Engineeringen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.date.accessioned2020-02-01T06:43:31Z
dc.date.available2020-02-01T06:43:31Z
dc.date.issued2019en_US
dc.description.abstractWind energy is an important source of renewable energy with significant untapped potential around the world. However, the cost of wind energy production is high and efforts to lower the cost of energy generation will help enable more widespread use of wind energy. Ideally, wind turbines have to be aligned with wind flow at all times. However, this is not the case and there exists and angle between a wind turbine nacelle’s central axis and the wind flow. This angle is called yaw error. Yaw error lowers the efficiency of turbines as well as lowers the reliability of key components in turbines. LIDAR devices can correct the yaw error; however, they are expensive and there is a trade-off between their costs and benefits. In this dissertation, a stochastic discrete-event simulation is developed that models the operation of a wind farm. By maximizing the Net Present Value (NPV) changes associated with using LIDAR devices in a wind farm, the optimum number of LIDAR devices and their associated turbine stay time will be determined. These optimum values are a function of number of turbines in the wind farm for specific turbine sizes. The outcome of this dissertation will help wind farm owners and operators to make informed decisions about purchasing LIDAR devices for their wind farms.en_US
dc.identifierhttps://doi.org/10.13016/tzb8-9vsp
dc.identifier.urihttp://hdl.handle.net/1903/25471
dc.language.isoenen_US
dc.subject.pqcontrolledMechanical engineeringen_US
dc.subject.pquncontrolledCost Modelingen_US
dc.subject.pquncontrolledLIDARen_US
dc.subject.pquncontrolledNPVen_US
dc.subject.pquncontrolledReturn on Investmenten_US
dc.subject.pquncontrolledWind Energyen_US
dc.subject.pquncontrolledYaw Erroren_US
dc.titleMAXIMIZING THE FINANCIAL RETURNS OF USING LIDAR SYSTEMS IN WIND FARMS FOR YAW ERROR CORRECTION APPLICATIONSen_US
dc.typeDissertationen_US

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