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
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.
Department of Computer Science, The University of Waikato
© 2014 the authors.