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Title: Performance Prediction and Validation: Data, Frameworks, and Considerations

Abstract

Improving the predictability and reliability of wind power generation and operations will reduce costs and potentially establish a framework to attract new capital into the distributed wind sector, a key cost reduction requirement highlighted in results from the distributed wind future market assessment conducted with dWind. Quantifying and refining the accuracy of project performance estimates will also directly address several of the key challenges identified by industry stakeholders in 2015 as part of the distributed wind resource assessment workshop and be cross-cutting for several other facets of the distributed wind portfolio. This presentation covers the efforts undertaken in 2016 to address these topics.

Authors:
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:
1358540
Report Number(s):
NREL/PR-5000-68426
DOE Contract Number:
AC36-08GO28308
Resource Type:
Conference
Resource Relation:
Conference: Presented at the 13th Annual Small Wind Conference, 10-11 April 2017, Bloomington, Minnesota
Country of Publication:
United States
Language:
English
Subject:
17 WIND ENERGY; small wind; distributed wind; distributed wind turbine; wind prospector

Citation Formats

Tinnesand, Heidi. Performance Prediction and Validation: Data, Frameworks, and Considerations. United States: N. p., 2017. Web.
Tinnesand, Heidi. Performance Prediction and Validation: Data, Frameworks, and Considerations. United States.
Tinnesand, Heidi. Fri . "Performance Prediction and Validation: Data, Frameworks, and Considerations". United States. doi:. https://www.osti.gov/servlets/purl/1358540.
@article{osti_1358540,
title = {Performance Prediction and Validation: Data, Frameworks, and Considerations},
author = {Tinnesand, Heidi},
abstractNote = {Improving the predictability and reliability of wind power generation and operations will reduce costs and potentially establish a framework to attract new capital into the distributed wind sector, a key cost reduction requirement highlighted in results from the distributed wind future market assessment conducted with dWind. Quantifying and refining the accuracy of project performance estimates will also directly address several of the key challenges identified by industry stakeholders in 2015 as part of the distributed wind resource assessment workshop and be cross-cutting for several other facets of the distributed wind portfolio. This presentation covers the efforts undertaken in 2016 to address these topics.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri May 19 00:00:00 EDT 2017},
month = {Fri May 19 00:00:00 EDT 2017}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

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