Wind turbine ice detection using AEP loss method: A case study

Jia Yi Jin; Timo Karlsson; Muhammad S. Virk

doi:10.1177/0309524X211072867

Wind turbine ice detection using AEP loss method: A case study

Jia Yi Jin (Corresponding Author), Timo Karlsson, Muhammad S. Virk

BA4203 Wind power technologies

Research output: Contribution to journal › Article › Scientific › peer-review

Abstract

This paper describes the comparison of a statistical and numerical case study of wind resource assessment and estimation of resultant Annual Energy Production due to ice of a wind park in ice prone cold region. Three years Supervisory Control and Data Acquisition data from a wind park located in arctic region is used for this study. Statistical analysis shows that the relative power loss due to icing related stops is the main issue for this wind park. While Larsen wake model is used for the CFD simulations, where results show that it is important to use the wake loss model for CFD simulations of wind resource assessment and AEP estimation of a wind park. A preliminary case study about wind park layout optimization has also been carried out which shows that AEP can be improved by optimizing the wind park layout and CFD simulations can be a good tool.

Original language	English
Journal	Wind Engineering
DOIs	https://doi.org/10.1177/0309524X211072867
Publication status	E-pub ahead of print - 7 Mar 2022
MoE publication type	A1 Journal article-refereed

Keywords

CFD
SCADA
T19IceLossMethod
wake effect
Wind resource assessment

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1177/0309524X211072867

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@article{ae24036c4d194200b55b28123be73151,

title = "Wind turbine ice detection using AEP loss method: A case study",

abstract = "This paper describes the comparison of a statistical and numerical case study of wind resource assessment and estimation of resultant Annual Energy Production due to ice of a wind park in ice prone cold region. Three years Supervisory Control and Data Acquisition data from a wind park located in arctic region is used for this study. Statistical analysis shows that the relative power loss due to icing related stops is the main issue for this wind park. While Larsen wake model is used for the CFD simulations, where results show that it is important to use the wake loss model for CFD simulations of wind resource assessment and AEP estimation of a wind park. A preliminary case study about wind park layout optimization has also been carried out which shows that AEP can be improved by optimizing the wind park layout and CFD simulations can be a good tool.",

keywords = "CFD, SCADA, T19IceLossMethod, wake effect, Wind resource assessment",

author = "Jin, {Jia Yi} and Timo Karlsson and Virk, {Muhammad S.}",

note = "Funding Information: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The work reported in this paper is supported by the University of Troms{\o} PhD project no (381100/74104) and the publication charges for this article have been funded by a grant from the publication fund of UiT-The Arctic University of Norway. Publisher Copyright: {\textcopyright} The Author(s) 2022.",

year = "2022",

month = mar,

day = "7",

doi = "10.1177/0309524X211072867",

language = "English",

journal = "Wind Engineering",

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T1 - Wind turbine ice detection using AEP loss method

T2 - A case study

AU - Jin, Jia Yi

AU - Karlsson, Timo

AU - Virk, Muhammad S.

N1 - Funding Information: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The work reported in this paper is supported by the University of Tromsø PhD project no (381100/74104) and the publication charges for this article have been funded by a grant from the publication fund of UiT-The Arctic University of Norway. Publisher Copyright: © The Author(s) 2022.

PY - 2022/3/7

Y1 - 2022/3/7

N2 - This paper describes the comparison of a statistical and numerical case study of wind resource assessment and estimation of resultant Annual Energy Production due to ice of a wind park in ice prone cold region. Three years Supervisory Control and Data Acquisition data from a wind park located in arctic region is used for this study. Statistical analysis shows that the relative power loss due to icing related stops is the main issue for this wind park. While Larsen wake model is used for the CFD simulations, where results show that it is important to use the wake loss model for CFD simulations of wind resource assessment and AEP estimation of a wind park. A preliminary case study about wind park layout optimization has also been carried out which shows that AEP can be improved by optimizing the wind park layout and CFD simulations can be a good tool.

AB - This paper describes the comparison of a statistical and numerical case study of wind resource assessment and estimation of resultant Annual Energy Production due to ice of a wind park in ice prone cold region. Three years Supervisory Control and Data Acquisition data from a wind park located in arctic region is used for this study. Statistical analysis shows that the relative power loss due to icing related stops is the main issue for this wind park. While Larsen wake model is used for the CFD simulations, where results show that it is important to use the wake loss model for CFD simulations of wind resource assessment and AEP estimation of a wind park. A preliminary case study about wind park layout optimization has also been carried out which shows that AEP can be improved by optimizing the wind park layout and CFD simulations can be a good tool.

KW - CFD

KW - SCADA

KW - T19IceLossMethod

KW - wake effect

KW - Wind resource assessment

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U2 - 10.1177/0309524X211072867

DO - 10.1177/0309524X211072867

M3 - Article

AN - SCOPUS:85126046185

JO - Wind Engineering

JF - Wind Engineering

SN - 0309-524X

ER -

Wind turbine ice detection using AEP loss method: A case study

Abstract

Keywords

UN SDGs

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