Power analysis of epicyclic gear transmission for wind farm

N. Hu; S. Liu; D. Zhao; C. Chen

doi:10.1007/978-3-030-17677-8_20

Power analysis of epicyclic gear transmission for wind farm

N. Hu
, S. Liu
, D. Zhao
, C. Chen

Mechanical & Aerospace Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

1 Citation (Scopus)

Abstract

Epicyclic gear transmissions are intensively used in wind turbines for driving the electric generators. To maximise the efficiency and minimise the rate of failure, it is essential to gain a full and precise understanding of the power flow inside the epicyclic gear systems. An algorithm based on constraint analysis and virtual power ratio is applied to a one-degree-of-freedom, four-stage gearbox of a wind turbine for prediction of efficiency. Power flow diagrams are constructed to obtain the power flow patterns and validate the prediction, by means of balance in normal and virtual power of the system. The analytical solution is derived for the efficiency of the gearbox. The analytical solution reveals that all loss factors are inversely proportional to the efficiency. Further, assuming equal loss factors on all gear meshes, the maximum loss factor is 0.147 to yield a positive efficiency, i.e. no self-locking of the gearbox.

Original language	English
Title of host publication	Robotics and Mechatronics
Subtitle of host publication	Proceedings of the Fifth IFToMM International Symposium on Robotics & Mechatronics (ISRM 2017)
Editors	Richard (Chunhui) Yang, Yukio Takeda, Chunwei Zhang, Gu Fang
Place of Publication	Cham Switzerland
Publisher	Springer
Chapter	20
Pages	251-262
Number of pages	12
ISBN (Electronic)	9783030176778
ISBN (Print)	9783030176761
DOIs	https://doi.org/10.1007/978-3-030-17677-8_20
Publication status	Published - 2019
Event	IFToMM International Symposium on Robotics and Mechatronics 2017 - Sydney, Australia Duration: 29 Nov 2017 → 1 Dec 2017 Conference number: 5th https://www.westernsydney.edu.au/isrm2017

Publication series

Name	Mechanisms and Machine Science
Publisher	Springer
Volume	72
ISSN (Print)	2211-0984
ISSN (Electronic)	2211-0992

Conference

Conference	IFToMM International Symposium on Robotics and Mechatronics 2017
Abbreviated title	ISRM 2017
Country/Territory	Australia
City	Sydney
Period	29/11/17 → 1/12/17
Internet address	https://www.westernsydney.edu.au/isrm2017

Keywords

Constraint analysis
Efficiency
Epicyclic gear transmission
Wind farm
Wind turbine

Access to Document

10.1007/978-3-030-17677-8_20

Cite this

Hu, N., Liu, S., Zhao, D., & Chen, C. (2019). Power analysis of epicyclic gear transmission for wind farm. In R. Yang, Y. Takeda, C. Zhang, & G. Fang (Eds.), Robotics and Mechatronics: Proceedings of the Fifth IFToMM International Symposium on Robotics & Mechatronics (ISRM 2017) (pp. 251-262). (Mechanisms and Machine Science; Vol. 72). Springer. https://doi.org/10.1007/978-3-030-17677-8_20

Hu, N. ; Liu, S. ; Zhao, D. et al. / Power analysis of epicyclic gear transmission for wind farm. Robotics and Mechatronics: Proceedings of the Fifth IFToMM International Symposium on Robotics & Mechatronics (ISRM 2017). editor / Richard (Chunhui) Yang ; Yukio Takeda ; Chunwei Zhang ; Gu Fang. Cham Switzerland : Springer, 2019. pp. 251-262 (Mechanisms and Machine Science).

@inproceedings{f775638aefc14113b48c453edfe570dd,

title = "Power analysis of epicyclic gear transmission for wind farm",

abstract = "Epicyclic gear transmissions are intensively used in wind turbines for driving the electric generators. To maximise the efficiency and minimise the rate of failure, it is essential to gain a full and precise understanding of the power flow inside the epicyclic gear systems. An algorithm based on constraint analysis and virtual power ratio is applied to a one-degree-of-freedom, four-stage gearbox of a wind turbine for prediction of efficiency. Power flow diagrams are constructed to obtain the power flow patterns and validate the prediction, by means of balance in normal and virtual power of the system. The analytical solution is derived for the efficiency of the gearbox. The analytical solution reveals that all loss factors are inversely proportional to the efficiency. Further, assuming equal loss factors on all gear meshes, the maximum loss factor is 0.147 to yield a positive efficiency, i.e. no self-locking of the gearbox.",

keywords = "Constraint analysis, Efficiency, Epicyclic gear transmission, Wind farm, Wind turbine",

author = "N. Hu and S. Liu and D. Zhao and C. Chen",

year = "2019",

doi = "10.1007/978-3-030-17677-8\_20",

language = "English",

isbn = "9783030176761",

series = "Mechanisms and Machine Science",

publisher = "Springer",

pages = "251--262",

editor = "Yang, \{Richard (Chunhui)\} and Yukio Takeda and Chunwei Zhang and Gu Fang",

booktitle = "Robotics and Mechatronics",

address = "Switzerland",

note = "IFToMM International Symposium on Robotics and Mechatronics 2017, ISRM 2017 ; Conference date: 29-11-2017 Through 01-12-2017",

url = "https://www.westernsydney.edu.au/isrm2017",

}

Hu, N, Liu, S, Zhao, D & Chen, C 2019, Power analysis of epicyclic gear transmission for wind farm. in R Yang, Y Takeda, C Zhang & G Fang (eds), Robotics and Mechatronics: Proceedings of the Fifth IFToMM International Symposium on Robotics & Mechatronics (ISRM 2017). Mechanisms and Machine Science, vol. 72, Springer, Cham Switzerland, pp. 251-262, IFToMM International Symposium on Robotics and Mechatronics 2017, Sydney, New South Wales, Australia, 29/11/17. https://doi.org/10.1007/978-3-030-17677-8_20

Power analysis of epicyclic gear transmission for wind farm. / Hu, N.; Liu, S.; Zhao, D. et al.
Robotics and Mechatronics: Proceedings of the Fifth IFToMM International Symposium on Robotics & Mechatronics (ISRM 2017). ed. / Richard (Chunhui) Yang; Yukio Takeda; Chunwei Zhang; Gu Fang. Cham Switzerland: Springer, 2019. p. 251-262 (Mechanisms and Machine Science; Vol. 72).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

TY - GEN

T1 - Power analysis of epicyclic gear transmission for wind farm

AU - Hu, N.

AU - Liu, S.

AU - Zhao, D.

AU - Chen, C.

N1 - Conference code: 5th

PY - 2019

Y1 - 2019

N2 - Epicyclic gear transmissions are intensively used in wind turbines for driving the electric generators. To maximise the efficiency and minimise the rate of failure, it is essential to gain a full and precise understanding of the power flow inside the epicyclic gear systems. An algorithm based on constraint analysis and virtual power ratio is applied to a one-degree-of-freedom, four-stage gearbox of a wind turbine for prediction of efficiency. Power flow diagrams are constructed to obtain the power flow patterns and validate the prediction, by means of balance in normal and virtual power of the system. The analytical solution is derived for the efficiency of the gearbox. The analytical solution reveals that all loss factors are inversely proportional to the efficiency. Further, assuming equal loss factors on all gear meshes, the maximum loss factor is 0.147 to yield a positive efficiency, i.e. no self-locking of the gearbox.

AB - Epicyclic gear transmissions are intensively used in wind turbines for driving the electric generators. To maximise the efficiency and minimise the rate of failure, it is essential to gain a full and precise understanding of the power flow inside the epicyclic gear systems. An algorithm based on constraint analysis and virtual power ratio is applied to a one-degree-of-freedom, four-stage gearbox of a wind turbine for prediction of efficiency. Power flow diagrams are constructed to obtain the power flow patterns and validate the prediction, by means of balance in normal and virtual power of the system. The analytical solution is derived for the efficiency of the gearbox. The analytical solution reveals that all loss factors are inversely proportional to the efficiency. Further, assuming equal loss factors on all gear meshes, the maximum loss factor is 0.147 to yield a positive efficiency, i.e. no self-locking of the gearbox.

KW - Constraint analysis

KW - Efficiency

KW - Epicyclic gear transmission

KW - Wind farm

KW - Wind turbine

UR - https://www.scopus.com/pages/publications/85068454713

U2 - 10.1007/978-3-030-17677-8_20

DO - 10.1007/978-3-030-17677-8_20

M3 - Conference Paper

AN - SCOPUS:85068454713

SN - 9783030176761

T3 - Mechanisms and Machine Science

SP - 251

EP - 262

BT - Robotics and Mechatronics

A2 - Yang, Richard (Chunhui)

A2 - Takeda, Yukio

A2 - Zhang, Chunwei

A2 - Fang, Gu

PB - Springer

CY - Cham Switzerland

T2 - IFToMM International Symposium on Robotics and Mechatronics 2017

Y2 - 29 November 2017 through 1 December 2017

ER -

Hu N, Liu S, Zhao D, Chen C. Power analysis of epicyclic gear transmission for wind farm. In Yang R, Takeda Y, Zhang C, Fang G, editors, Robotics and Mechatronics: Proceedings of the Fifth IFToMM International Symposium on Robotics & Mechatronics (ISRM 2017). Cham Switzerland: Springer. 2019. p. 251-262. (Mechanisms and Machine Science). doi: 10.1007/978-3-030-17677-8_20

Power analysis of epicyclic gear transmission for wind farm

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