Wind Energy Instrumentation Atlas

Abstract

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Parametric estimates of the kinetic energy in the atmospheric boundary layer from minisodar measurements

“…and () H  are unknown) problems of robust statistics and being actively developed now. 6,[7][8][9] In our case, the main problem of estimating the kinetic energy components in the ABL consists in developing robust algorithms of experimental data processing to obtain unbiased and effective estimates of the vector-parameter  and hence, of the average wind velocity components and their variances for the aprioristic distribution   ,θ G  on an inhomogeneous sample with distribution   ,θ F  . In the present work, new robust parametric algorithms of 3D wind vector data processing, based on the maximum weighted likelihood method, have been developed and used to estimate the kinetic energy components.…”

American WAKE experimeNt (AWAKEN)

“…The national laboratories will develop and execute an advanced wind plant observation instrumentation development strategy. The strategy will begin with a summary of the state of the art of remote-sensing technology for wind plant applications, which begins with an instrumentation atlas (Lundquist et al 2019) and will be augmented through a meeting of international experts. The outcome of the experts' meeting will be a document to detail and compare currently available technology and make recommendations and estimate potential costs for the most promising technologies to develop.…”

“…An important task will be the creation of an instrumentation development roadmap, starting from the current state of the art and proceeding through the end of the AWAKEN project. In 2019, an instrumentation atlas (Lundquist et al 2019) was developed that provided a current state of the art of microscale instrumentation and measurement capability gaps. The instrumentation atlas has been updated and ported to the AWAKEN wiki website (https://openei.org/wiki/ AWAKEN), where it can be maintained throughout the AWAKEN project.…”

Enabling the SMART Wind Power Plant of the Future Through Science-Based Innovation

“…In addition, these models must be extensively verified and validated using high-resolution data collected through large-scale measurement campaigns (Hills et al 2015). Recent advancements in meteorological sensing and measurement equipment (Peña et al 2015;Lundquist et al forthcoming) along with "Big Data" allow scientists to quantify wind power plant flow with resolution and accuracy that was not conceivable just a decade earlier.…”