Author
Abstract
In addressing the challenges associated with accurately predicting the efficiency of wave energy converters, particularly due to the intricate nature of certain parameters resistant to straightforward analytical derivation, this paper proposes a novel semi-parameter analytical dynamic model. This model not only effectively overcomes the inherent challenges but also undergoes rigorous validation through experimental testing. Building upon this foundation, we employ response surface methodology to develop a predictive framework for evaluating the energy harvesting efficiency of our innovative twin-turbine wave energy converter. The objectives of this predictive model are twofold: firstly, to eliminate the need for intricate numerical integration of dynamic differential equations governing the converter's behaviour; secondly, to distil the energy harvesting performance prediction model from intricate design parameters. This streamlined model facilitates an incisive analysis of design parameter sensitivities and interactive influences. Validation involves analysis of variance (ANOVA) and comparison against the semi-parameter analytical dynamic model. The innovative aspect of our wave energy converter lies in the creative use of twin turbines connected through a pulley-driven transmission system. This unique configuration significantly enhances generator rotational speed, enabling efficient power take-off mechanism placement within the buoy. The pulley-driven transmission system not only allows easy adjustment of the transmission ratio but also heightens generator efficiency by aligning its operational speed within the desired rated speed range. Additionally, the transmission system adeptly absorbs load fluctuations, impacts and vibrations from oceanic waves, enhancing device robustness and longevity. The streamlined design also facilitates maintenance access, affirming practicality.
Suggested Citation
Xiao, Han & Wang, Xu, 2024.
"Sensitivity analysis of design parameters and their interactions and performance prediction of a novel twin turbine wave energy converter,"
Energy, Elsevier, vol. 293(C).
Handle:
RePEc:eee:energy:v:293:y:2024:i:c:s0360544224004171
DOI: 10.1016/j.energy.2024.130645
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:293:y:2024:i:c:s0360544224004171. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.