2024-03-28T08:01:28Z
https://zenodo.org/oai2d
oai:zenodo.org:4302363
2021-07-07T14:29:43Z
openaire
user-cfars
user-ieawindtask32
Clifton, Andrew
Black, Andrew
Mazoyer, Paul
Wylie, Scott
Debnath, Mishu
Lammers, Andrew
Spalding, Taurin
Schultz, Robert
2020-12-02
<p>As part of its mission to reduce the uncertainty of preconstruction wind resource estimates, the Consortium for the Advancement for Remote Sensing (CFARS) is engaged in a survey of correction techniques for remote wind sensing devices in complex terrain.</p>
<p>This webinar presented and compared correction techniques from several suppliers (Leosphere, WindSim, Meteodyn) when applied to data collected by the most prominent sensing devices (Triton, WindCube, ZX). All techniques show similar results: uncorrected RSD wind speeds differ from cup measurement by 2%-5% and corrected data are all within ±1%. This study also examines anemometer biases due to flow inclination. The webinar goes beyond the CFARS presentation to AWEA 2020, providing further detail on the datasets, terrain classification and methods used to compare mast and lidars.</p>
<p>Andrew Hastings Black, Scott Wylie, and Paul Mazoyer presented the survey results. The discussion was moderated by Andy Clifton from IEA Wind Task 32.</p>
<p>This repository includes the following files:</p>
<ul>
<li>An introduction by Task 32 ("2020 12 08...")</li>
<li>The main presentation ("CFARS_...").</li>
</ul>
This material was presented in an IEA Wind Task 32 webinar on 8 December 2020. For more information about IEA Wind Task 32 see https://community.ieawind.org/task32/home. For more information about CFARS see http://www.cfars.org/.
https://doi.org/10.5281/zenodo.4302363
oai:zenodo.org:4302363
eng
Zenodo
https://zenodo.org/communities/cfars
https://zenodo.org/communities/ieawindtask32
https://doi.org/10.5281/zenodo.4302362
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
wind energy
wind lidar
complex terrain
complex flow
resource assessment
Survey of Correction Techniques for Remote Sensing Devices in Complex Flow
info:eu-repo/semantics/lecture
oai:zenodo.org:5529750
2021-09-29T14:30:58Z
user-cfars
user-dswe
user-ieawindtask32
St. Pé, Alexandra
Weyer, Ellie
Campbell, Iain
Arntsen, Alexandra E.
Kondabala, Nikhil
Mibus, Marcel
Coulombe-Pontbriand, Philippe
Black , Andrew H.
Parker, Zach
Swytink-Binnema, Nigel
Jolin, Nicolas
Goudeau, Barrett T.
Meklenborg Miltersen Slot, René
Svenningsen, Lasse
Lee, Joseph C. Y.
Debnath, Mithu
Wylie, Scott
Apgar, Dale
Fric, Thomas
Michaud, Dan
Smith, Elizabeth
Mazoyer, Paul
Tocco, Mackenzie
Guillemin, Fabrice
Teoh, Krystina
Matthew Meyers
2021-09-27
<p>In this white paper, the results from the Consortium for Advancing Remote Sensing's (CFARS) Site Suitability Subgroup’s first benchmarking analysis of <em>unadjusted</em> RSD to cup anemometer turbulence intensity (TI) and reference cup-to-redundant cup measurement differences are presented. Eight organizations participated in the benchmarking activity, contributing a total of 35 datasets.</p>
<p>This document introduces the Subgroup’s forthcoming analysis, examining the performance of <em>adjusted</em> RSD TI measurements compared to cup anemometry. This will be the industry’s first open source tool for comparing the performance of disparate RSD TI measurements and cup anemometry, the TI Adjustment Comparison Tool (TACT). TACT incorporates more than 15 adjustment techniques. Preliminary results from this benchmarking activity using TACT will be released to the industry in the Spring 2022 and summarized in detail in a forthcoming peer-reviewed article.</p>
<p>Finally, to ensure the delivery of commercial value to open source science and tools generated in the Subgroup, a best practice collaboration framework to connect RSD TI benchmarking activities with RSD TI acceptance decision-making for site suitability assessment is introduced herein. The CFARS best practice framework provides a platform that enables data-driven decisions, on acceptable loads bias thresholds in a commercial setting. The framework encourages industry stakeholders to collaborate to further refine TACT, leverage the tool to advance industry understanding of the sensitivity of turbine fatigue load models to varying TI measurements and therefore de-risks the use of adjusted RSD measurements in site suitability assessment.</p>
https://doi.org/10.5281/zenodo.5529750
oai:zenodo.org:5529750
eng
Zenodo
https://zenodo.org/communities/cfars
https://zenodo.org/communities/ieawindtask32
https://zenodo.org/communities/dswe
https://doi.org/10.5281/zenodo.5529749
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
wind energy
wind lidar
open source
collaboration
resource assessment
atmospheric science
CFARS Site Suitability Initiative: An Open Source Approach to Evaluate the Performance of Remote Sensing Device (RSD) Turbulence Intensity Measurements & Accelerate Industry Adoption of RSDs for Turbine Suitability Assessment
info:eu-repo/semantics/workingPaper