Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

Automated cleaning of wind turbine blades with no downtime

Authors: Dipankar Deb; Mrunal Patel; Himmat Singh;

Automated cleaning of wind turbine blades with no downtime

Abstract

Several factors affect the power generation efficiency of wind energy extracted from wind turbines. One of them is dust accumulation resulting in roughness of the blade surface and resulting in power loss. To overcome this problem, wind turbine blades need to be cleaned frequently. There are some existing techniques of cleaning but not very efficient and economically viable. In this paper, we have analyzed and discussed, an algorithm for fully automated wind turbine blade cleaning system with no downtime and thereby more economically efficient even over the semi-automated blade cleaning solutions available in literature. The proposed solution also does not use water jets unlike other existing solutions.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    6
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Top 10%
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!