Computational fluid dynamics modelling to design and optimise power kites for renewable power generation.
Pegg, Christopher; Suri, Yatin; Islam, Sheikh Zahidul; Asthana, Abhishek; Hossain, Mamdud
Dr Yatin Suri email@example.com
Dr Sheikh Islam firstname.lastname@example.org
Academic Strategic Lead
Professor Mamdud Hossain email@example.com
Power kites provide the potential rewards of obtaining the disused energy supply from high altitude wind. This paper aims to provide a design of power kite and optimise the potential for renewable power generation. The power kite was modelled using computational fluid dynamics to study its characteristics. The numerical modelling results were compared against the wind tunnel experimental study and two 3D printed power kites. The design was optimised using several variables, of which include aerofoil choice, surface roughness, wind speed and operating parameters. The results suggest that operating the kites at minimum 15 m horizontal separation is favourable, with the trailing kite operating below the leading, removing the potential for this kite to operate in the wake turbulence of the first. This paper presents relevant, applicable data which can be used for predicting the performance, and potentially optimising further power kite design.
PEGG, C., SURI, Y., ISLAM, S.Z., ASTHANA, A. and HOSSAIN, M. 2020. Computational fluid dynamics modelling to design and optimise power kites for renewable power generation. International journal of design engineering [online], 9(2): energy and sustainable futures, pages 81-100. Available from: https://doi.org/10.1504/IJDE.2020.113057
|Journal Article Type||Article|
|Acceptance Date||Jul 6, 2020|
|Online Publication Date||Feb 5, 2021|
|Publication Date||Dec 31, 2020|
|Deposit Date||Mar 4, 2022|
|Publicly Available Date||Mar 4, 2022|
|Journal||International journal of design engineering|
|Peer Reviewed||Peer Reviewed|
|Keywords||Power kites; Computational fluid dynamics; CFD; Wind energy; Renewable power generation; Surface roughness; Aerofoil; Kite optimisation; Billows; Drag coefficient; Lift coefficient|
PEGG 2020 Computational fluid dynamics (AAM)
Publisher Licence URL
© 2020 Inderscience Enterprises Limited.
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