Computational Aspects of Simulating a Wind Turbine Blade Deflection Sensing System

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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 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.
Original languageEnglish
Title of host publication2018 International Workshop on Computing, Electromagnetics, and Machine Intelligence (CEMi'18)
Number of pages2
PublisherIEEE
Publication date2019
ISBN (Print)978-1-5386-7846-6
ISBN (Electronic) 978-1-5386-7845-9
DOIs
Publication statusPublished - 2019
Event2018 International Workshop on Computing, Electromagnetics, and Machine Intelligence - Stellenbosch, South Africa
Duration: 21 Nov 201824 Nov 2018
http://cem18.computing.technology/

Workshop

Workshop2018 International Workshop on Computing, Electromagnetics, and Machine Intelligence
CountrySouth Africa
CityStellenbosch
Period21/11/201824/11/2018
Internet address

Fingerprint

Finite difference time domain method
Ultra-wideband (UWB)
Wind turbines
Turbomachine blades
Resource allocation
Microwaves

Keywords

  • Ultrawideband propagation
  • FDTD

Cite this

Pedersen, G. F., & Franek, O. (2019). Computational Aspects of Simulating a Wind Turbine Blade Deflection Sensing System. In 2018 International Workshop on Computing, Electromagnetics, and Machine Intelligence (CEMi'18) IEEE. https://doi.org/10.1109/CEMI.2018.8610574
Pedersen, Gert F. ; Franek, Ondrej. / Computational Aspects of Simulating a Wind Turbine Blade Deflection Sensing System. 2018 International Workshop on Computing, Electromagnetics, and Machine Intelligence (CEMi'18). IEEE, 2019.
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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 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",
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booktitle = "2018 International Workshop on Computing, Electromagnetics, and Machine Intelligence (CEMi'18)",
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}

Pedersen, GF & Franek, O 2019, Computational Aspects of Simulating a Wind Turbine Blade Deflection Sensing System. in 2018 International Workshop on Computing, Electromagnetics, and Machine Intelligence (CEMi'18). IEEE, 2018 International Workshop on Computing, Electromagnetics, and Machine Intelligence, Stellenbosch, South Africa, 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). IEEE, 2019.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

TY - GEN

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

AU - Pedersen, Gert F.

AU - Franek, Ondrej

PY - 2019

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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 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 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

U2 - 10.1109/CEMI.2018.8610574

DO - 10.1109/CEMI.2018.8610574

M3 - Article in proceeding

SN - 978-1-5386-7846-6

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

PB - IEEE

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Pedersen GF, Franek O. Computational Aspects of Simulating a Wind Turbine Blade Deflection Sensing System. In 2018 International Workshop on Computing, Electromagnetics, and Machine Intelligence (CEMi'18). IEEE. 2019 https://doi.org/10.1109/CEMI.2018.8610574