Published December 4, 2013 | Version v1
Journal article

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/10.1088/1742-6596/476/1/012038

Additional details

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