Wind power error estimation in resource assessments.

Estimating the power output is one of the elements that determine the techno-economic feasibility of a renewable project. At present, there is a need to develop reliable methods that achieve this goal, thereby contributing to wind power penetration. In this study, we propose a method for wind power...

Full description

Bibliographic Details
Main Authors: Osvaldo Rodríguez, Jesús A Del Río, Oscar A Jaramillo, Manuel Martínez
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2015-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4441467?pdf=render
id doaj-35cae68316fe476aacc8eed8cadfa25d
record_format Article
spelling doaj-35cae68316fe476aacc8eed8cadfa25d2020-11-25T02:33:34ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-01105e012483010.1371/journal.pone.0124830Wind power error estimation in resource assessments.Osvaldo RodríguezJesús A Del RíoOscar A JaramilloManuel MartínezEstimating the power output is one of the elements that determine the techno-economic feasibility of a renewable project. At present, there is a need to develop reliable methods that achieve this goal, thereby contributing to wind power penetration. In this study, we propose a method for wind power error estimation based on the wind speed measurement error, probability density function, and wind turbine power curves. This method uses the actual wind speed data without prior statistical treatment based on 28 wind turbine power curves, which were fitted by Lagrange's method, to calculate the estimate wind power output and the corresponding error propagation. We found that wind speed percentage errors of 10% were propagated into the power output estimates, thereby yielding an error of 5%. The proposed error propagation complements the traditional power resource assessments. The wind power estimation error also allows us to estimate intervals for the power production leveled cost or the investment time return. The implementation of this method increases the reliability of techno-economic resource assessment studies.http://europepmc.org/articles/PMC4441467?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Osvaldo Rodríguez
Jesús A Del Río
Oscar A Jaramillo
Manuel Martínez
spellingShingle Osvaldo Rodríguez
Jesús A Del Río
Oscar A Jaramillo
Manuel Martínez
Wind power error estimation in resource assessments.
PLoS ONE
author_facet Osvaldo Rodríguez
Jesús A Del Río
Oscar A Jaramillo
Manuel Martínez
author_sort Osvaldo Rodríguez
title Wind power error estimation in resource assessments.
title_short Wind power error estimation in resource assessments.
title_full Wind power error estimation in resource assessments.
title_fullStr Wind power error estimation in resource assessments.
title_full_unstemmed Wind power error estimation in resource assessments.
title_sort wind power error estimation in resource assessments.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2015-01-01
description Estimating the power output is one of the elements that determine the techno-economic feasibility of a renewable project. At present, there is a need to develop reliable methods that achieve this goal, thereby contributing to wind power penetration. In this study, we propose a method for wind power error estimation based on the wind speed measurement error, probability density function, and wind turbine power curves. This method uses the actual wind speed data without prior statistical treatment based on 28 wind turbine power curves, which were fitted by Lagrange's method, to calculate the estimate wind power output and the corresponding error propagation. We found that wind speed percentage errors of 10% were propagated into the power output estimates, thereby yielding an error of 5%. The proposed error propagation complements the traditional power resource assessments. The wind power estimation error also allows us to estimate intervals for the power production leveled cost or the investment time return. The implementation of this method increases the reliability of techno-economic resource assessment studies.
url http://europepmc.org/articles/PMC4441467?pdf=render
work_keys_str_mv AT osvaldorodriguez windpowererrorestimationinresourceassessments
AT jesusadelrio windpowererrorestimationinresourceassessments
AT oscarajaramillo windpowererrorestimationinresourceassessments
AT manuelmartinez windpowererrorestimationinresourceassessments
_version_ 1724813167127691264