Wind turbine ice detection using AEP loss method:A case study
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 arc...
Published in: | Wind Engineering |
---|---|
Main Authors: | , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
2022
|
Subjects: | |
Online Access: | https://cris.vtt.fi/en/publications/ae24036c-4d19-4200-b55b-28123be73151 https://doi.org/10.1177/0309524X211072867 http://www.scopus.com/inward/record.url?scp=85126046185&partnerID=8YFLogxK |
id |
ftvttcrispub:oai:cris.vtt.fi:publications/ae24036c-4d19-4200-b55b-28123be73151 |
---|---|
record_format |
openpolar |
spelling |
ftvttcrispub:oai:cris.vtt.fi:publications/ae24036c-4d19-4200-b55b-28123be73151 2023-05-15T15:04:34+02:00 Wind turbine ice detection using AEP loss method:A case study Jin, Jia Yi Karlsson, Timo Virk, Muhammad S. 2022-08 https://cris.vtt.fi/en/publications/ae24036c-4d19-4200-b55b-28123be73151 https://doi.org/10.1177/0309524X211072867 http://www.scopus.com/inward/record.url?scp=85126046185&partnerID=8YFLogxK eng eng info:eu-repo/semantics/closedAccess Jin , J Y , Karlsson , T & Virk , M S 2022 , ' Wind turbine ice detection using AEP loss method : A case study ' , Wind Engineering , vol. 46 , no. 4 , pp. 1224-1235 . https://doi.org/10.1177/0309524X211072867 CFD SCADA T19IceLossMethod wake effect Wind resource assessment /dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy SDG 7 - Affordable and Clean Energy article 2022 ftvttcrispub https://doi.org/10.1177/0309524X211072867 2022-10-13T14:13:31Z 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. Article in Journal/Newspaper Arctic VTT's Research Information Portal Arctic Wind Engineering 46 4 1224 1235 |
institution |
Open Polar |
collection |
VTT's Research Information Portal |
op_collection_id |
ftvttcrispub |
language |
English |
topic |
CFD SCADA T19IceLossMethod wake effect Wind resource assessment /dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy SDG 7 - Affordable and Clean Energy |
spellingShingle |
CFD SCADA T19IceLossMethod wake effect Wind resource assessment /dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy SDG 7 - Affordable and Clean Energy Jin, Jia Yi Karlsson, Timo Virk, Muhammad S. Wind turbine ice detection using AEP loss method:A case study |
topic_facet |
CFD SCADA T19IceLossMethod wake effect Wind resource assessment /dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy SDG 7 - Affordable and Clean Energy |
description |
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. |
format |
Article in Journal/Newspaper |
author |
Jin, Jia Yi Karlsson, Timo Virk, Muhammad S. |
author_facet |
Jin, Jia Yi Karlsson, Timo Virk, Muhammad S. |
author_sort |
Jin, Jia Yi |
title |
Wind turbine ice detection using AEP loss method:A case study |
title_short |
Wind turbine ice detection using AEP loss method:A case study |
title_full |
Wind turbine ice detection using AEP loss method:A case study |
title_fullStr |
Wind turbine ice detection using AEP loss method:A case study |
title_full_unstemmed |
Wind turbine ice detection using AEP loss method:A case study |
title_sort |
wind turbine ice detection using aep loss method:a case study |
publishDate |
2022 |
url |
https://cris.vtt.fi/en/publications/ae24036c-4d19-4200-b55b-28123be73151 https://doi.org/10.1177/0309524X211072867 http://www.scopus.com/inward/record.url?scp=85126046185&partnerID=8YFLogxK |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Jin , J Y , Karlsson , T & Virk , M S 2022 , ' Wind turbine ice detection using AEP loss method : A case study ' , Wind Engineering , vol. 46 , no. 4 , pp. 1224-1235 . https://doi.org/10.1177/0309524X211072867 |
op_rights |
info:eu-repo/semantics/closedAccess |
op_doi |
https://doi.org/10.1177/0309524X211072867 |
container_title |
Wind Engineering |
container_volume |
46 |
container_issue |
4 |
container_start_page |
1224 |
op_container_end_page |
1235 |
_version_ |
1766336314732445696 |