Proceedings of the 2016 4th International Conference on Renewable Energy and Environmental Technology (ICREET 2016)

Research control strategy of hot air blower de-icing system for MW wind turbine blade

Authors
Yongshui Luo, Jian Liu, Qi Chen, Yongliang Li, Minqiang Zhou
Corresponding Author
Yongshui Luo
Available Online March 2017.
DOI
10.2991/icreet-16.2017.47How to use a DOI?
Keywords
wind power; blade; icing; hot air blower de-icing system; control strategy
Abstract

Aiming at the intelligent control strategy of the hot air blower de-icing technique for wind turbine blades was requirement. A high efficient and energy-economical intelligent control strategy was designed, the control strategy workflow and two intelligent modes were designed, namely pre-heating mode and de-icing mode. Through field de-icing tests, the results showed that the inner temperature of blade tip was around 30 when running at pre-heating mode, the blade tip surface temperature was 5 , which was able to restrain ice formation and supply fundamental heat for de-icing mode. The inner temperature of cavity reached 60 for supplying enough heat to de-ice quickly when running at de-icing mode. Compared with the conventional de-icing method, the intelligent de-icing control strategy was saved 80% energy consumption in one icing period, which improved electrical production. The feasibility of the intelligent control strategy was proved and it benefited for further development of wind turbine industry under cold weather conditions.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 4th International Conference on Renewable Energy and Environmental Technology (ICREET 2016)
Series
Advances in Engineering Research
Publication Date
March 2017
ISBN
10.2991/icreet-16.2017.47
ISSN
2352-5401
DOI
10.2991/icreet-16.2017.47How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yongshui Luo
AU  - Jian Liu
AU  - Qi Chen
AU  - Yongliang Li
AU  - Minqiang Zhou
PY  - 2017/03
DA  - 2017/03
TI  - Research control strategy of hot air blower de-icing system for MW wind turbine blade
BT  - Proceedings of the 2016 4th International Conference on Renewable Energy and Environmental Technology (ICREET 2016)
PB  - Atlantis Press
SP  - 275
EP  - 284
SN  - 2352-5401
UR  - https://doi.org/10.2991/icreet-16.2017.47
DO  - 10.2991/icreet-16.2017.47
ID  - Luo2017/03
ER  -