Energy and GHG Saving Potentials of Air Conditioners in a Typical Commercial Building using Adaptive Controller

Authors

  • Temitope Raphael Ayodele University of Ibadan
  • Samson Ogunjuyigbe University of Ibadan
  • Sunday Bamigboye

Keywords:

Air conditioner; electrical Energy; Energy management; Adaptive controller; Banking hall; GHG emission

Abstract

In this paper, adaptive data driven controller is utilised to manage energy consumption of Air Conditioner (AC) in a typical commercial banking hall with the aim of reducing electrical energy consumption as well as reduce the carbon emission. The controller has regulatory capability in such a way that the ACs working mode is made to follow the number of occupants and the ambient temperature (time of the day) within the banking hall. In this way, energy consumptions of the ACs are automatically reduced in the time of few customers and cloudy days (low ambient temperature). For effective design of the controller, two sets of primary data (number of people in banking hall per hour and hourly environmental temperature) are collected at a typical commercial banking hall. An algorithm is thereafter developed in java environment and implemented to control the output of the ACs based on the two data sets. Economic and environmental benefits of the proposed controller are also performed.  The result reveals that for the typical banking hall an estimation of electrical energy of about 37.2% to 58.2% could be saved using the proposed controller. Moreover, an estimated 2193.84 litres of diesel fuel with the corresponding cost of about $1382.12 could be saved per annum. This cumulates into a saving in CO2 emission of about 5923.368 kg/yr and CO emission of 16.8048 kg. The study is important as the proposed controller can be built into the thermostat of ACs to make it responsive to the number of customers and the ambient temperature.

Author Biography

Temitope Raphael Ayodele, University of Ibadan

Assisstance professor, Electrical and Electronic Engineering, University of Ibadan

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Published

21 June 2018

How to Cite

Ayodele, T. R., Ogunjuyigbe, S., & Bamigboye, S. (2018). Energy and GHG Saving Potentials of Air Conditioners in a Typical Commercial Building using Adaptive Controller. Journal of Renewable Energy and Smart Grid Technology, 13(2). Retrieved from https://ph01.tci-thaijo.org/index.php/RAST/article/view/114251

Issue

Vol. 13 No. 2 (2018): July-December 2018

Section

Articles

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