Small scale mobile energy management system using Raspberry Pi and Python

David Ball; Nitin Naik; Paul Jenkins

doi:10.1109/ISSPIT.2017.8388631

Small scale mobile energy management system using Raspberry Pi and Python

David Ball
, Nitin Naik
, Paul Jenkins

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

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 language	English
Title of host publication	2017 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	139-143
Number of pages	5
ISBN (Electronic)	9781538646625
DOIs	https://doi.org/10.1109/ISSPIT.2017.8388631
Publication status	Published - 21 Jun 2018
Externally published	Yes
Event	17th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2017 - Bilbao, Spain Duration: 18 Dec 2017 → 20 Dec 2017

Publication series

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

Conference

Conference	17th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2017
Country/Territory	Spain
City	Bilbao
Period	18/12/17 → 20/12/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

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

Access to Document

10.1109/ISSPIT.2017.8388631

Cite this

Ball, D., Naik, N., & Jenkins, P. (2018). Small scale mobile energy management system using Raspberry Pi and Python. In 2017 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2017 (pp. 139-143). (2017 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISSPIT.2017.8388631

Ball, David ; Naik, Nitin ; Jenkins, Paul. / Small scale mobile energy management system using Raspberry Pi and Python. 2017 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2017. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 139-143 (2017 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2017).

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title = "Small scale mobile energy management system using Raspberry Pi and Python",

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.",

keywords = "EMS, Energy Management System, Power Management System, Python, RES, Raspberry Pi, Renewable Energy Sources",

author = "David Ball and Nitin Naik and Paul Jenkins",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 17th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2017 ; Conference date: 18-12-2017 Through 20-12-2017",

year = "2018",

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doi = "10.1109/ISSPIT.2017.8388631",

language = "English",

series = "2017 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Ball, D, Naik, N & Jenkins, P 2018, Small scale mobile energy management system using Raspberry Pi and Python. in 2017 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2017. 2017 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2017, Institute of Electrical and Electronics Engineers Inc., pp. 139-143, 17th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2017, Bilbao, Spain, 18/12/17. https://doi.org/10.1109/ISSPIT.2017.8388631

Small scale mobile energy management system using Raspberry Pi and Python. / Ball, David; Naik, Nitin; Jenkins, Paul.
2017 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2017. Institute of Electrical and Electronics Engineers Inc., 2018. p. 139-143 (2017 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Naik, Nitin

AU - Jenkins, Paul

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AB - 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.

KW - EMS

KW - Energy Management System

KW - Power Management System

KW - Python

KW - RES

KW - Raspberry Pi

KW - Renewable Energy Sources

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DO - 10.1109/ISSPIT.2017.8388631

M3 - Conference contribution

AN - SCOPUS:85050156762

T3 - 2017 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2017

SP - 139

EP - 143

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

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 17th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2017

Y2 - 18 December 2017 through 20 December 2017

ER -

Ball D, Naik N, Jenkins P. Small scale mobile energy management system using Raspberry Pi and Python. In 2017 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2017. Institute of Electrical and Electronics Engineers Inc. 2018. p. 139-143. (2017 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2017). doi: 10.1109/ISSPIT.2017.8388631

Small scale mobile energy management system using Raspberry Pi and Python

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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Cite this