Research Commons
      • Browse 
        • Communities & Collections
        • Titles
        • Authors
        • By Issue Date
        • Subjects
        • Types
        • Series
      • Help 
        • About
        • Collection Policy
        • OA Mandate Guidelines
        • Guidelines FAQ
        • Contact Us
      • My Account 
        • Sign In
        • Register
      View Item 
      •   Research Commons
      • University of Waikato Research
      • Computing and Mathematical Sciences
      • Computing and Mathematical Sciences Papers
      • View Item
      •   Research Commons
      • University of Waikato Research
      • Computing and Mathematical Sciences
      • Computing and Mathematical Sciences Papers
      • View Item
      JavaScript is disabled for your browser. Some features of this site may not work without it.

      Visualizing a control strategy for estimating electricity consumption

      Ozoh, Patrick; Abd-Rahman, Shapiee; Labadin, Jane; Apperley, Mark
      Thumbnail
      Files
      Visualizing a control strategy.pdf
      Published version, 319.3Kb
      Find in your library  
      Citation
      Export citation
      Ozoh, P., Abd-Rahman, S., Labadin, J., & Apperley, M. (2014). Visualizing a control strategy for estimating electricity consumption. In M. Masoodian, E. André, S. Luz, & T. Rist (Eds.), FSEA 2014 – Proceedings of the AVI 2014 Workshop on Fostering Smart Energy Applications through Advanced Visual Interfaces, Como, Italy, May 27, 2014 (pp. 43–47).
      Permanent Research Commons link: https://hdl.handle.net/10289/9084
      Abstract
      This paper investigates the potential of applying different control measures on low power and high power appliances with the goal of evolving efficiency in electricity consumption. The research involves carrying out simulations on their power consumption readings to set up a control system. The study discovers savings on all appliances under study to be 12.8% Kw, not minding occupancy rate of the building. Air-conditioners have the greatest impact of a 6% Kw contribution on savings. This would lead to a substantial contribution when converted to pricing rates. The results from the study indicate that control measures should be extended to peak periods and power saving measures extended to more appliances.
      Date
      2014
      Type
      Conference Contribution
      Publisher
      Department of Computer Science, The University of Waikato
      Rights
      © 2014 the authors.
      Collections
      • Computing and Mathematical Sciences Papers [1454]
      Show full item record  

      Usage

      Downloads, last 12 months
      26
       
       

      Usage Statistics

      For this itemFor all of Research Commons

      The University of Waikato - Te Whare Wānanga o WaikatoFeedback and RequestsCopyright and Legal Statement