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

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › 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.

Original language	English
Title of host publication	2018 International Workshop on Computing, Electromagnetics, and Machine Intelligence (CEMi'18)
Editors	Levent Gurel
Number of pages	2
Publisher	IEEE
Publication date	11 Jan 2019
Pages	41-42
Article number	8610574
ISBN (Print)	978-1-5386-7846-6
ISBN (Electronic)	978-1-5386-7845-9
DOIs	https://doi.org/10.1109/CEMI.2018.8610574
Publication status	Published - 11 Jan 2019
Event	2018 International Workshop on Computing, Electromagnetics, and Machine Intelligence - Stellenbosch, South Africa Duration: 21 Nov 2018 → 24 Nov 2018 http://cem18.computing.technology/

Workshop

Workshop	2018 International Workshop on Computing, Electromagnetics, and Machine Intelligence
Country/Territory	South Africa
City	Stellenbosch
Period	21/11/2018 → 24/11/2018
Internet address	http://cem18.computing.technology/

Keywords

Ultrawideband propagation
FDTD

Access to Document

10.1109/CEMI.2018.8610574

cemi18_full_openaccessAccepted author manuscript, 678 KB

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@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. in L Gurel (ed.), 2018 International Workshop on Computing, Electromagnetics, and Machine Intelligence (CEMi'18)., 8610574, IEEE, pp. 41-42, 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). ed. / Levent Gurel. IEEE, 2019. p. 41-42 8610574.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

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

AU - Pedersen, Gert F.

AU - Franek, Ondrej

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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.

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DO - 10.1109/CEMI.2018.8610574

M3 - Article in proceeding

SN - 978-1-5386-7846-6

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EP - 42

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

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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

Keywords

Access to Document

AUB Link

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IRotor: Intelligent rotor for wind energy cost reduction

Cite this

Computational Aspects of Simulating a Wind Turbine Blade Deflection Sensing System

Abstract

Workshop

Keywords

Access to Document

AUB Link

Other files and links

Fingerprint

Projects

IRotor: Intelligent rotor for wind energy cost reduction

Cite this