LAPSE:2023.6498v1
Published Article

LAPSE:2023.6498v1
Design and CFD Analysis of the Energy Efficiency of a Point Wave Energy Converter Using Passive Morphing Blades
February 23, 2023
Abstract
A wave energy converter features the ability to convert wave energy into the electrical energy required by unmanned devices, and its energy-conversion efficiency is an essential aspect in practical applications. This paper proposes a novel point-absorption wave energy converter with passive morphing blades to meet the demand for improved energy-conversion efficiency. We first introduce its concept and design, with its blades forming their shape by adaptive changes with the direction of the water flow. Next, the three-dimensional geometrical-morphing model, energy-conversion model, and energy-conversion-efficiency model of the wave energy converter were established. Then, the CFD model was built to optimize the design parameters, and the simulation results revealed that the maximum conversion efficiency can be obtained at 90% solidity with 10 blades, a 40−60% load, and 20~25 degrees for the external deflection angle. The simulations also showed that the passive morphing-blade group provides ~40% higher torque and ~60% higher hydraulic efficiency than the flat-blade group.
A wave energy converter features the ability to convert wave energy into the electrical energy required by unmanned devices, and its energy-conversion efficiency is an essential aspect in practical applications. This paper proposes a novel point-absorption wave energy converter with passive morphing blades to meet the demand for improved energy-conversion efficiency. We first introduce its concept and design, with its blades forming their shape by adaptive changes with the direction of the water flow. Next, the three-dimensional geometrical-morphing model, energy-conversion model, and energy-conversion-efficiency model of the wave energy converter were established. Then, the CFD model was built to optimize the design parameters, and the simulation results revealed that the maximum conversion efficiency can be obtained at 90% solidity with 10 blades, a 40−60% load, and 20~25 degrees for the external deflection angle. The simulations also showed that the passive morphing-blade group provides ~40% higher torque and ~60% higher hydraulic efficiency than the flat-blade group.
Record ID
Keywords
passive morphing blade, point absorption, power take-off, wave energy converter, wave power
Subject
Suggested Citation
Wang C, Luo Z, Lu Z, Shang J, Wang M, Zhu Y. Design and CFD Analysis of the Energy Efficiency of a Point Wave Energy Converter Using Passive Morphing Blades. (2023). LAPSE:2023.6498v1
Author Affiliations
Wang C: College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China
Luo Z: College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China [ORCID]
Lu Z: College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China
Shang J: College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China
Wang M: College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China
Zhu Y: College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China
Luo Z: College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China [ORCID]
Lu Z: College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China
Shang J: College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China
Wang M: College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China
Zhu Y: College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China
Journal Name
Energies
Volume
16
Issue
1
First Page
204
Year
2022
Publication Date
2022-12-25
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en16010204, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2023.6498v1
This Record
External Link

https://doi.org/10.3390/en16010204
Publisher Version
Download
Meta
Record Statistics
Record Views
201
Version History
[v1] (Original Submission)
Feb 23, 2023
Verified by curator on
Feb 23, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.6498v1
Record Owner
Auto Uploader for LAPSE
Links to Related Works
