Dynamic Response of a Pendulum-Driven Energy Harvester in the Presence of Noise
- 1. Lublin University of Technology, Nadbystrzycka 36, 20-618 Lublin (Poland)
- 2. Department of Electrical and Electronic Engineering, Imperial College London, London SW7 2AZ (United Kingdom)
Description
This paper presents time- and frequency-domain analyses of a previously reported wave energy harvesting system in the presence of noise. The energy harvester comprises a pendulum that drives two DC generators connected electrically in series. A mechanical model of the wave energy harvester is developed and simulated in Matlab. The output voltage and output power of the energy harvester is evaluated and compared for two input signal types: a deterministic case and a stochastic case. The latter consists of a white noise random excitation source that is bounded in amplitude at a fixed standard deviation. Simulation results indicate that a stochastic input signal shows considerable influence on the output characteristics of the energy harvester. The simulation models developed in this paper can be used to complement the design of resonant frequency tuning electronics for energy harvesting systems
Availability note (English)
Available from http://dx.doi.org/10.1088/1742-6596/476/1/012038Additional details
Identifiers
Publishing Information
- Journal Title
- Journal of Physics. Conference Series (Online)
- Journal Volume
- 476
- Journal Issue
- 1
- Journal Page Range
- [5 p.]
- ISSN
- 1742-6596
Conference
- Title
- 13. international conference on micro and nanotechnology for power generation and energy conversion applications
- Acronym
- PowerMEMS 2013
- Dates
- 3-6 Dec 2013
- Place
- London (United Kingdom)
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 46063686
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- MECHANICAL VIBRATIONS; NOISE; OSCILLATIONS; SIMULATION; STOCHASTIC PROCESSES; TIME MEASUREMENT