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Title: Wind Energy Instrumentation Atlas

Abstract

The US Department of Energy (DOE) A2e program is focused on developing the next generation of predictive tools to better understand wind plant performance and help industry lower the overall cost of energy. A formal verification and validation process is required to demonstrate improved accuracy of these new models beyond those currently employed. And a critical part of model validation is utilization of a diverse set of accurate observations of atmospheric forcing and wind plant response. A number of existing data sets that will be used for this purpose, as highlighted by Schreck and Maniaci (2017) but A2e researchers also realize that new datasets will be required to meet validation objectives. As such, plans for new experiments based on model validation priorities (NALU validation plan, 2017) are currently being developed. This document is intended to serve as a reference to experimental study planners that describes the capability, accuracy and resolution of existing and developing measurement technologies to observe quantities of interest for wind plant model validation. Such systems can be broken into two major categories: those that measure the flow field and surrounding atmosphere around and within a wind plant and those that measure the turbine response within the windmore » plant. The A2e validation team will use this catalogue of instrument capability in conjunction with the validation plan, to choose the optimal set of instruments to be deployed, inform instrument placement and operation and estimate the types of validation that may be gathered through new field campaigns. Where existing instrumentation is deficient, the document will also help guide DOE towards potential areas where instrumentation development is required to meet validation objectives and A2e technology development funding may be required. The domain of interest is the wind plant microscale, within and surrounding a single wind plant, typically, tens of kilometers on a side in horizontal directions and to the top of the atmospheric boundary layer (about 1km) in the vertical. Some observations of dominant mesoscale forcing phenomena are required, with the highest resolution measurements occurring in the wind turbine wakes and on the turbines themselves. The simulation tools to be validated are mesoscale driven large-eddy simulations of the atmosphere with full aeroelastic response of individual turbines within the plant. Use cases vary slightly among tool users, but should focus on the primary end customers of the simulations and research insights, which would be turbine manufacturers, wind plant developers and owners. Broadly speaking their interests are maximizing energy output, while maintaining turbine reliability and lifetime.« less

Authors:
 [1]; ORCiD logo [2]; ORCiD logo [2];  [2]; ORCiD logo [2]; ORCiD logo [2];  [3]
  1. National Renewable Energy Lab. (NREL), Golden, CO (United States); Univ. of Colorado, Boulder, CO (United States)
  2. National Renewable Energy Lab. (NREL), Golden, CO (United States)
  3. Sandia National Lab. (SNL-CA), Livermore, CA (United States)
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)
OSTI Identifier:
1513195
Report Number(s):
NREL/TP-5000-68986
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
17 WIND ENERGY; wind energy; atmosphere to electrons; references; planning; modeling

Citation Formats

Lundquist, Julie K., Clifton, Andrew J., Dana, Scott, Huskey, Arlinda, Moriarty, Patrick J., Van Dam, Jeroen J., and Herges, Tommy. Wind Energy Instrumentation Atlas. United States: N. p., 2019. Web. doi:10.2172/1513195.
Lundquist, Julie K., Clifton, Andrew J., Dana, Scott, Huskey, Arlinda, Moriarty, Patrick J., Van Dam, Jeroen J., & Herges, Tommy. Wind Energy Instrumentation Atlas. United States. https://doi.org/10.2172/1513195
Lundquist, Julie K., Clifton, Andrew J., Dana, Scott, Huskey, Arlinda, Moriarty, Patrick J., Van Dam, Jeroen J., and Herges, Tommy. 2019. "Wind Energy Instrumentation Atlas". United States. https://doi.org/10.2172/1513195. https://www.osti.gov/servlets/purl/1513195.
@article{osti_1513195,
title = {Wind Energy Instrumentation Atlas},
author = {Lundquist, Julie K. and Clifton, Andrew J. and Dana, Scott and Huskey, Arlinda and Moriarty, Patrick J. and Van Dam, Jeroen J. and Herges, Tommy},
abstractNote = {The US Department of Energy (DOE) A2e program is focused on developing the next generation of predictive tools to better understand wind plant performance and help industry lower the overall cost of energy. A formal verification and validation process is required to demonstrate improved accuracy of these new models beyond those currently employed. And a critical part of model validation is utilization of a diverse set of accurate observations of atmospheric forcing and wind plant response. A number of existing data sets that will be used for this purpose, as highlighted by Schreck and Maniaci (2017) but A2e researchers also realize that new datasets will be required to meet validation objectives. As such, plans for new experiments based on model validation priorities (NALU validation plan, 2017) are currently being developed. This document is intended to serve as a reference to experimental study planners that describes the capability, accuracy and resolution of existing and developing measurement technologies to observe quantities of interest for wind plant model validation. Such systems can be broken into two major categories: those that measure the flow field and surrounding atmosphere around and within a wind plant and those that measure the turbine response within the wind plant. The A2e validation team will use this catalogue of instrument capability in conjunction with the validation plan, to choose the optimal set of instruments to be deployed, inform instrument placement and operation and estimate the types of validation that may be gathered through new field campaigns. Where existing instrumentation is deficient, the document will also help guide DOE towards potential areas where instrumentation development is required to meet validation objectives and A2e technology development funding may be required. The domain of interest is the wind plant microscale, within and surrounding a single wind plant, typically, tens of kilometers on a side in horizontal directions and to the top of the atmospheric boundary layer (about 1km) in the vertical. Some observations of dominant mesoscale forcing phenomena are required, with the highest resolution measurements occurring in the wind turbine wakes and on the turbines themselves. The simulation tools to be validated are mesoscale driven large-eddy simulations of the atmosphere with full aeroelastic response of individual turbines within the plant. Use cases vary slightly among tool users, but should focus on the primary end customers of the simulations and research insights, which would be turbine manufacturers, wind plant developers and owners. Broadly speaking their interests are maximizing energy output, while maintaining turbine reliability and lifetime.},
doi = {10.2172/1513195},
url = {https://www.osti.gov/biblio/1513195}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri May 17 00:00:00 EDT 2019},
month = {Fri May 17 00:00:00 EDT 2019}
}