Effect of nonlinearities and objective function in optimization of an energy harvesting device
Creators
- 1. Grupo de Investigación en Multifísica Aplicada, Universidad Tecnológica Nacional FRBB and CONICET. 11 de abril 461, 8000 Bahía Blanca, Argentina. (Argentina)
- 2. Instituto de Física del Sur, CONICET and Departamento de Física. Universidad Nacional del Sur (UNS). Av Alem 1253, 8000 Bahía Blanca, Argentina. (Argentina)
Description
This work presents a study of the impact of the linearity assumption of the mechanical model in the overall performance of an energy harvesting piezoelectric beam. Also, a brief assessment of geometrical optimization solutions using different objective functions is presented. The mechanical model of the harvester is based on both linear and nonlinear variants of the electrical and mechanical constitutive equations for the piezoelectric material. The nonlinear elastic, damping and electromechanical coupling parameters are obtained via least squares identification using physical experimentation; the experimental tests are performed at different ground excitation accelerations. The computational optimization of the harvester is done using the genetic algorithm implemented in Matlab. Different objective functions are tested, i.e. broadband maximum peak power, maximum power at a particular frequency and broadband mean power; the influence of the selection of each of them in the total recovery of the power of the device is analyzed. The most suitable function to recover the vibratory energy from conventional transport vehicles is found. (paper)
Availability note (English)
Available from http://dx.doi.org/10.1088/1742-6596/1052/1/012098Additional details
Identifiers
Publishing Information
- Journal Title
- Journal of Physics. Conference Series (Online)
- Journal Volume
- 1052
- Journal Issue
- 1
- Journal Page Range
- [4 p.]
- ISSN
- 1742-6596
Conference
- Title
- 17. International Conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications
- Acronym
- PowerMEMS 2017
- Dates
- 14-17 Nov 2017
- Place
- Kanazawa (Japan)
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 53011355
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; S42: ENGINEERING;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- COUPLING; DAMPING; EXCITATION; GENETIC ALGORITHMS; LEAST SQUARE FIT; OPTIMIZATION; PERFORMANCE; PIEZOELECTRICITY
- Descriptors DEC
- ALGORITHMS; ELECTRICITY; ENERGY-LEVEL TRANSITIONS; MATHEMATICAL LOGIC; MATHEMATICAL SOLUTIONS; MAXIMUM-LIKELIHOOD FIT; NUMERICAL SOLUTION