Layout Optimization Design of Two Vortex Induced Piezoelectric Energy Converters (VIPECs) Using the Combined Kriging Surrogate Model and Particle Swarm Optimization Method
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 co...
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doaj-1d53ed9de0b9494db2eea302328c526f2020-11-25T01:40:24ZengMDPI AGEnergies1996-10732018-08-01118206910.3390/en11082069en11082069Layout Optimization Design of Two Vortex Induced Piezoelectric Energy Converters (VIPECs) Using the Combined Kriging Surrogate Model and Particle Swarm Optimization MethodXinyu An0Baowei Song1Zhaoyong Mao2Congcong Ma3School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, ChinaSchool of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, ChinaSchool of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, ChinaLaboratoire Roberval, Université de Technologie de Compiègne, 60200 Compiègne, FranceThe 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.http://www.mdpi.com/1996-1073/11/8/2069vortex sheddingpiezoelectric energy converterlift coefficientseparation angleopen circuit output voltageComputatinal Fluid Dynamics (CFD)Kriging surrogate modelParticle Swarm Optimization (PSO) |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Xinyu An Baowei Song Zhaoyong Mao Congcong Ma |
spellingShingle |
Xinyu An Baowei Song Zhaoyong Mao Congcong Ma Layout Optimization Design of Two Vortex Induced Piezoelectric Energy Converters (VIPECs) Using the Combined Kriging Surrogate Model and Particle Swarm Optimization Method Energies vortex shedding piezoelectric energy converter lift coefficient separation angle open circuit output voltage Computatinal Fluid Dynamics (CFD) Kriging surrogate model Particle Swarm Optimization (PSO) |
author_facet |
Xinyu An Baowei Song Zhaoyong Mao Congcong Ma |
author_sort |
Xinyu An |
title |
Layout Optimization Design of Two Vortex Induced Piezoelectric Energy Converters (VIPECs) Using the Combined Kriging Surrogate Model and Particle Swarm Optimization Method |
title_short |
Layout Optimization Design of Two Vortex Induced Piezoelectric Energy Converters (VIPECs) Using the Combined Kriging Surrogate Model and Particle Swarm Optimization Method |
title_full |
Layout Optimization Design of Two Vortex Induced Piezoelectric Energy Converters (VIPECs) Using the Combined Kriging Surrogate Model and Particle Swarm Optimization Method |
title_fullStr |
Layout Optimization Design of Two Vortex Induced Piezoelectric Energy Converters (VIPECs) Using the Combined Kriging Surrogate Model and Particle Swarm Optimization Method |
title_full_unstemmed |
Layout Optimization Design of Two Vortex Induced Piezoelectric Energy Converters (VIPECs) Using the Combined Kriging Surrogate Model and Particle Swarm Optimization Method |
title_sort |
layout optimization design of two vortex induced piezoelectric energy converters (vipecs) using the combined kriging surrogate model and particle swarm optimization method |
publisher |
MDPI AG |
series |
Energies |
issn |
1996-1073 |
publishDate |
2018-08-01 |
description |
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. |
topic |
vortex shedding piezoelectric energy converter lift coefficient separation angle open circuit output voltage Computatinal Fluid Dynamics (CFD) Kriging surrogate model Particle Swarm Optimization (PSO) |
url |
http://www.mdpi.com/1996-1073/11/8/2069 |
work_keys_str_mv |
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