Computational Aspects of Simulating a Wind Turbine Blade Deflection Sensing System

Gert F. Pedersen; Ondrej Franek

doi:10.1109/CEMI.2018.8610574

Computational Aspects of Simulating a Wind Turbine Blade Deflection Sensing System

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

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Abstract

Recently introduced wind turbine blade deflection sensing system using ultrawideband technology is described. Challenges of simulating microwave propagation along the blade using the finite-difference time-domain method are outlined. Two straightforward techniques that have been used to speed up the finite-difference time-domain (FDTD) simulation are presented: load balancing of parallel processes and the moving frame technique. In addition, a simple method to reduce the numerical dispersion error of the FDTD method is presented.

Originalsprog	Engelsk
Titel	2018 International Workshop on Computing, Electromagnetics, and Machine Intelligence (CEMi'18)
Redaktører	Levent Gurel
Antal sider	2
Forlag	IEEE
Publikationsdato	11 jan. 2019
Sider	41-42
Artikelnummer	8610574
ISBN (Trykt)	978-1-5386-7846-6
ISBN (Elektronisk)	978-1-5386-7845-9
DOI	https://doi.org/10.1109/CEMI.2018.8610574
Status	Udgivet - 11 jan. 2019
Begivenhed	2018 International Workshop on Computing, Electromagnetics, and Machine Intelligence - Stellenbosch, Sydafrika Varighed: 21 nov. 2018 → 24 nov. 2018 http://cem18.computing.technology/

Workshop

Workshop	2018 International Workshop on Computing, Electromagnetics, and Machine Intelligence
Land/Område	Sydafrika
By	Stellenbosch
Periode	21/11/2018 → 24/11/2018
Internetadresse	http://cem18.computing.technology/

Adgang til dokumentet

10.1109/CEMI.2018.8610574

cemi18_full_openaccessAccepteret manuskript, 678 KB

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IRotor: Intelligent rotor for wind energy cost reduction
Pedersen, G. F.
01/01/2014 → 30/06/2018
Projekter: Projekt › Forskning

Citationsformater

@inproceedings{18e773a67bd54d10a1a79e0496fb21bd,

title = "Computational Aspects of Simulating a Wind Turbine Blade Deflection Sensing System",

abstract = "Recently introduced wind turbine blade deflection sensing system using ultrawideband technology is described. Challenges of simulating microwave propagation along the blade using the finite-difference time-domain method are outlined. Two straightforward techniques that have been used to speed up the finite-difference time-domain (FDTD) simulation are presented: load balancing of parallel processes and the moving frame technique. In addition, a simple method to reduce the numerical dispersion error of the FDTD method is presented.",

keywords = "Ultrawideband propagation, FDTD",

author = "Pedersen, {Gert F.} and Ondrej Franek",

year = "2019",

month = jan,

day = "11",

doi = "10.1109/CEMI.2018.8610574",

language = "English",

isbn = "978-1-5386-7846-6",

pages = "41--42",

editor = "Levent Gurel",

booktitle = "2018 International Workshop on Computing, Electromagnetics, and Machine Intelligence (CEMi'18)",

publisher = "IEEE",

address = "United States",

note = "2018 International Workshop on Computing, Electromagnetics, and Machine Intelligence, CEMi'18 ; Conference date: 21-11-2018 Through 24-11-2018",

url = "http://cem18.computing.technology/",

}

Pedersen, GF & Franek, O 2019, Computational Aspects of Simulating a Wind Turbine Blade Deflection Sensing System. i L Gurel (red.), 2018 International Workshop on Computing, Electromagnetics, and Machine Intelligence (CEMi'18)., 8610574, IEEE, s. 41-42, 2018 International Workshop on Computing, Electromagnetics, and Machine Intelligence, Stellenbosch, Sydafrika, 21/11/2018. https://doi.org/10.1109/CEMI.2018.8610574

Computational Aspects of Simulating a Wind Turbine Blade Deflection Sensing System. / Pedersen, Gert F.; Franek, Ondrej.
2018 International Workshop on Computing, Electromagnetics, and Machine Intelligence (CEMi'18). red. / Levent Gurel. IEEE, 2019. s. 41-42 8610574.

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

TY - GEN

T1 - Computational Aspects of Simulating a Wind Turbine Blade Deflection Sensing System

AU - Pedersen, Gert F.

AU - Franek, Ondrej

PY - 2019/1/11

Y1 - 2019/1/11

N2 - Recently introduced wind turbine blade deflection sensing system using ultrawideband technology is described. Challenges of simulating microwave propagation along the blade using the finite-difference time-domain method are outlined. Two straightforward techniques that have been used to speed up the finite-difference time-domain (FDTD) simulation are presented: load balancing of parallel processes and the moving frame technique. In addition, a simple method to reduce the numerical dispersion error of the FDTD method is presented.

AB - Recently introduced wind turbine blade deflection sensing system using ultrawideband technology is described. Challenges of simulating microwave propagation along the blade using the finite-difference time-domain method are outlined. Two straightforward techniques that have been used to speed up the finite-difference time-domain (FDTD) simulation are presented: load balancing of parallel processes and the moving frame technique. In addition, a simple method to reduce the numerical dispersion error of the FDTD method is presented.

KW - Ultrawideband propagation

KW - FDTD

UR - http://www.scopus.com/inward/record.url?scp=85062079643&partnerID=8YFLogxK

U2 - 10.1109/CEMI.2018.8610574

DO - 10.1109/CEMI.2018.8610574

M3 - Article in proceeding

SN - 978-1-5386-7846-6

SP - 41

EP - 42

BT - 2018 International Workshop on Computing, Electromagnetics, and Machine Intelligence (CEMi'18)

A2 - Gurel, Levent

PB - IEEE

T2 - 2018 International Workshop on Computing, Electromagnetics, and Machine Intelligence

Y2 - 21 November 2018 through 24 November 2018

ER -

Computational Aspects of Simulating a Wind Turbine Blade Deflection Sensing System

Abstract

Workshop

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AUB Link

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Projekter

IRotor: Intelligent rotor for wind energy cost reduction

Citationsformater