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Title: Sodar - Vaisala Triton Wind Profiler, AON7 - Reviewed Data

This dataset contains measurements from eight different Vaisala Triton Wind Profiler instruments. The Triton Wind Profiler is a sodar wind profiler that measures wind speed, direction, and turbulence intensity at heights from 30 m to 200 m above ground every 10 minutes. The eight Tritons are located at various sites around the WFIP2 study area.
Authors:
Publication Date:
DOE Contract Number:
67025F
Product Type:
Dataset
Research Org(s):
Atmosphere to Electrons (A2e) Data Archive and Portal, Pacific Northwest National Laboratory; PNNL
Sponsoring Org:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)
Subject:
17 Wind Energy
OSTI Identifier:
1409330

Stoelinga, Mark. Sodar - Vaisala Triton Wind Profiler, AON7 - Reviewed Data. United States: N. p., Web. doi:10.21947/1409330.
Stoelinga, Mark. Sodar - Vaisala Triton Wind Profiler, AON7 - Reviewed Data. United States. doi:10.21947/1409330.
Stoelinga, Mark. 2018. "Sodar - Vaisala Triton Wind Profiler, AON7 - Reviewed Data". United States. doi:10.21947/1409330. https://www.osti.gov/servlets/purl/1409330.
@misc{osti_1409330,
title = {Sodar - Vaisala Triton Wind Profiler, AON7 - Reviewed Data},
author = {Stoelinga, Mark},
abstractNote = {This dataset contains measurements from eight different Vaisala Triton Wind Profiler instruments. The Triton Wind Profiler is a sodar wind profiler that measures wind speed, direction, and turbulence intensity at heights from 30 m to 200 m above ground every 10 minutes. The eight Tritons are located at various sites around the WFIP2 study area.},
doi = {10.21947/1409330},
year = {2018},
month = {1} }
  1. A2e is a multi-year, multi-stakeholder DOE research and development initiative tasked with improving wind plant performance and mitigating risk and uncertainty to achieve substantial reduction in the cost of wind energy production. The A2e strategic vision will enable a new generation of wind plant technology, in which smart wind plants are designed to achieve optimized performance stemming from more complete knowledge of the inflow wind resource and complex flow through the wind plant. Focus areas include high fidelity modeling, verification, and validation; aeroacoustics; integrated wind plant control; integrated systems and analysis; reliability; and data archiving.
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