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Title: Optimization Under Uncertainty for Wake Steering Strategies

Abstract

This presentation covers the motivation for this research, optimization under the uncertainty problem formulation, a two-turbine case, the Princess Amalia Wind Farm case, and conclusions and next steps.

Authors:
 [1];  [1];  [1];  [1]; ORCiD logo [1];  [1]
  1. National Renewable Energy Laboratory (NREL), Golden, CO (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:
1374530
Report Number(s):
NREL/PR-5000-68590
Journal ID: ISSN 1742-6588
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Conference
Resource Relation:
Journal Volume: 854; Conference: Presented at DTU Cities, 21 June 2017, Lyngby, Denmark
Country of Publication:
United States
Language:
English
Subject:
17 WIND ENERGY; uncertainty; wake steering; wind energy; wind turbine; optimization; NREL

Citation Formats

Quick, Julian, Annoni, Jennifer, King, Ryan N, Dykes, Katherine L, Fleming, Paul A, and Ning, Andrew. Optimization Under Uncertainty for Wake Steering Strategies. United States: N. p., 2017. Web. doi:10.1088/1742-6596/854/1/012036.
Quick, Julian, Annoni, Jennifer, King, Ryan N, Dykes, Katherine L, Fleming, Paul A, & Ning, Andrew. Optimization Under Uncertainty for Wake Steering Strategies. United States. doi:10.1088/1742-6596/854/1/012036.
Quick, Julian, Annoni, Jennifer, King, Ryan N, Dykes, Katherine L, Fleming, Paul A, and Ning, Andrew. Thu . "Optimization Under Uncertainty for Wake Steering Strategies". United States. doi:10.1088/1742-6596/854/1/012036. https://www.osti.gov/servlets/purl/1374530.
@article{osti_1374530,
title = {Optimization Under Uncertainty for Wake Steering Strategies},
author = {Quick, Julian and Annoni, Jennifer and King, Ryan N and Dykes, Katherine L and Fleming, Paul A and Ning, Andrew},
abstractNote = {This presentation covers the motivation for this research, optimization under the uncertainty problem formulation, a two-turbine case, the Princess Amalia Wind Farm case, and conclusions and next steps.},
doi = {10.1088/1742-6596/854/1/012036},
journal = {},
issn = {1742-6588},
number = ,
volume = 854,
place = {United States},
year = {2017},
month = {8}
}

Conference:
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Works referenced in this record:

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    Works referencing / citing this record:

    Detection of wakes in the inflow of turbines using nacelle lidars
    journal, January 2019