Simulating The Potential Savings Of Implicit Energy Management On A City Scale

Jakob Doppler, Alois Ferscha, Doris Zachhuber

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

According to statistics and future prospects in the next few years world-wide energy consumption will increase significantly. Therefore not only more energy efficient technologies but also more extensive energy saving concepts have to be realized. We have developed an ”implicit interaction” based power saving concept, which automatically schedules and controls energy consumers depending on the recognized activities of users. Moreover, dynamically schedulable power consumption loads are shifted in time, so as to make use of the cheapest energy prices without compromising user comfort. In order to calculate the potential savings of this concept we have implemented a simulation framework executing energy consumption models on a city scale, which allows for more complex scenarios than being restricted to some devices or buildings only. Both the framework architecture as well as large scale energy consumption simulations are presented. Simulation experiments give strong evidence for our implicit energy management concept as a promising source of energy savings.
Original languageEnglish
Title of host publicationProceedings of the 12th IEEE/ACM International Symposium on Distributed Simulation and Real-Time Applications
Editors IEEE Computer Society Press
Pages207-216
Number of pages10
DOIs
Publication statusPublished - Oct 2008

Fields of science

  • 102 Computer Sciences
  • 102009 Computer simulation
  • 102013 Human-computer interaction
  • 102019 Machine learning
  • 102020 Medical informatics
  • 102021 Pervasive computing
  • 102022 Software development
  • 102025 Distributed systems
  • 202017 Embedded systems
  • 211902 Assistive technologies
  • 211912 Product design

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