LAPSE:2018.0713
Published Article
LAPSE:2018.0713
Layout Optimization Design of Two Vortex Induced Piezoelectric Energy Converters (VIPECs) Using the Combined Kriging Surrogate Model and Particle Swarm Optimization Method
Xinyu An, Baowei Song, Zhaoyong Mao, Congcong Ma
October 4, 2018
The layout configuration of Vortex Induced Piezoelectric Energy Converters (VIPECs) is essential to improve its overall performance. Based on the formations of migrating geese, the configuration is characterized by two nondimensionalized layout parameters. A number of sampled points for different configurations are simulated with the two-dimensional Computation Fluid Dynamics (CFD) method. The influence of layout configurations on VIPECs’ lift force and wake structure is investigated and the generated open circuit output voltage is obtained through the derived output voltage equation. The response surface model of the output voltage of both the leading VIPEC and the following VIPEC and their summation are established using the Kriging surrogate model based on the obtained simulation results. Then, optimal layout parameters are found through the Particle Swarm Optimization (PSO) algorithm, and its predicted result is compared with that of the CFD simulation. The simulation and optimization results reveal that the output voltage is not always consistent with the lift force on the plate. When VIPECs are placed in parallel with a certain spacing, their overall performance increases. The summation of output voltage is predicted to improve by approximately 63.7% compared to two single VIPECs when they are placed at the optimal layout parameters.
Keywords
Computatinal Fluid Dynamics (CFD), Kriging surrogate model, lift coefficient, open circuit output voltage, Particle Swarm Optimization (PSO), piezoelectric energy converter, separation angle, vortex shedding
Suggested Citation
An X, Song B, Mao Z, Ma C. Layout Optimization Design of Two Vortex Induced Piezoelectric Energy Converters (VIPECs) Using the Combined Kriging Surrogate Model and Particle Swarm Optimization Method. (2018). LAPSE:2018.0713
Author Affiliations
An X: School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China
Song B: School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China
Mao Z: School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China
Ma C: Laboratoire Roberval, Université de Technologie de Compiègne, 60200 Compiègne, France
[Login] to see author email addresses.
Journal Name
Energies
Volume
11
Issue
8
Article Number
E2069
Year
2018
Publication Date
2018-08-08
Published Version
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en11082069, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2018.0713
This Record
External Link

doi:10.3390/en11082069
Publisher Version
Download
Files
[Download 1v1.pdf] (16.4 MB)
Oct 4, 2018
Main Article
License
CC BY 4.0
Meta
Record Statistics
Record Views
718
Version History
[v1] (Original Submission)
Oct 4, 2018
 
Verified by curator on
Oct 4, 2018
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2018.0713
 
Original Submitter
Auto Uploader for LAPSE
Links to Related Works
Directly Related to This Work
Publisher Version