Cart (Loading....) | Create Account
Close category search window
 

A supply-demand model based scalable energy management system for improved energy utilization efficiency

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

6 Author(s)
Narasimhan, S. ; Case Western Reserve Univ., Cleveland, OH, USA ; McIntyre, D. ; Wolff, F. ; Yu Zhou
more authors

Harvesting energy from the environment can play an important role in reducing the dependency of an electronic system to primary energy sources (i.e. AC power or battery). For reliable and efficient energy harvesting while assuring best user experience, it is important to manage, route and match the harvested energy with the demand of various energy sources. In the most general case, multiple different energy sources can be used to provide energy to multiple different energy users. In this work, we propose a scalable rule-based energy management system for managing the acquisition, mixing, delivery and storage of energy for arbitrary collection of energy sources and users, which are characterized with different energy generation and consumption parameters. The system uses economics inspired supply-demand model for efficiently managing energy distribution between a set of energy sources and users. The energy allocation procedure tries to maximize the energy utilization efficiency of the sources while satisfying the demand of the users in order of their associated priorities, without starving an already allocated user. Simulation results for example scenarios show the effectiveness of the proposed approach for improving the energy utilization and lifetime of the energy sources.

Published in:

Green Computing Conference, 2010 International

Date of Conference:

15-18 Aug. 2010

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.