Small scale mobile energy management system using Raspberry Pi and Python

David Ball, Nitin Naik, Paul Jenkins

Research output: Chapter in Book/Report/Conference proceedingConference publication

Abstract

This paper presents the design and implementation of a small scale mobile Energy Management System (EMS), for the optimized use of different energy sources, resulting in the most appropriate energy source being selected to charge a bank of batteries, which are being used to provide DC power to an emergency aid deployment in a remote location. The mobile EMS, utilizes a Raspberry Pi, a popular small scale computing device, with some peripheral devices attached and Python. The experimental simulation suggests a small emergency aid team deployment to a disaster area where local infrastructure may not be available, is possible. This proposed mobile EMS solution is small, lightweight, highly transportable and can be connected to any mobile device, and employed in any nomadic infrastructure for disaster management or for any other general purpose use.

Original languageEnglish
Title of host publication2017 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2017
PublisherIEEE
Pages139-143
Number of pages5
ISBN (Electronic)9781538646625
DOIs
Publication statusPublished - 18 Jun 2018
Event17th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2017 - Bilbao, Spain
Duration: 18 Dec 201720 Dec 2017

Publication series

Name2017 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2017

Conference

Conference17th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2017
CountrySpain
CityBilbao
Period18/12/1720/12/17

Keywords

  • EMS
  • Energy Management System
  • Power Management System
  • Python
  • Raspberry Pi
  • Renewable Energy Sources
  • RES

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