Design and Implementation of Computing-based Air Conditioner (AC) (ComBAC) – A Preliminary Work

Authors

  • Afandi Ahmad Department of Computer Engineering, Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, Johor, 86400, Malaysia Reconfigurable Computing for Analytics Acceleration (ReCAA) Research Laboratory, Microelectronics and Nanotechnology – Shamsuddin Research Centre (MiNT-SRC), Universiti Tun Hussein Onn Malaysia, Johor, 86400, Malaysia
  • Muhammad Shafiq Nizar Reconfigurable Computing for Analytics Acceleration (ReCAA) Research Laboratory, Microelectronics and Nanotechnology – Shamsuddin Research Centre (MiNT-SRC), Universiti Tun Hussein Onn Malaysia, Johor, 86400, Malaysia
  • Muhammad Muzakkir Mohd Nadzri Reconfigurable Computing for Analytics Acceleration (ReCAA) Research Laboratory, Microelectronics and Nanotechnology – Shamsuddin Research Centre (MiNT-SRC), Universiti Tun Hussein Onn Malaysia, Johor, 86400, Malaysia
  • Muhammad Faris Roslan Reconfigurable Computing for Analytics Acceleration (ReCAA) Research Laboratory, Microelectronics and Nanotechnology – Shamsuddin Research Centre (MiNT-SRC), Universiti Tun Hussein Onn Malaysia, Johor, 86400, Malaysia
  • Abbes Amira Department of Computer Science and Engineering, Qatar University, P. O. Box 2713, Doha, Qatar.

Keywords:

Air Conditioner (AC), Computing,

Abstract

Computing-based air conditioner (ComBAC) highlights the concept of spot cooling that helps to reduce energy consumption without sacrificing consumer comfortability, while the conventional air conditioner (AC) cooling down the entire space regardless of occupancy. In this study, National Instruments (NI) myRIO has been explored as a hardware solution, and the advantage of graphical-based programming in LabVIEW has been fully used to design the graphical user interface (GUI) as well as for data acquisition programming. For the input, web camera C170 is used to detect the presence of human/object in a room, while the value of current is being measured using current sensor and later being analysed by NI myRIO to exhibit the energy consumed of an AC. NI myRIO also acts to control the AC, to divert the air flow according to the spot cooling concept and visualisation of energy consumed available via liquid crystal display (LCD). To evaluate the proposed system, ComBAC has been prototyped into a wallmounted AC unit with 2.5 meter height within a 3  3 square meter room floor area. An evaluation for objects/humans detection and dynamic tracking mechanism has been conducted and results obtained shown promising results. The proposed system has successfully captured the presence of object/human in a room, analyse the data and finally portray the value of energy consumption of the AC.

References

F. T. Tangang, L. Juneng, E. Salimun, K. M. Sei, L. J. Le, and H. Muhamad, “Climate change and variability over Malaysia: Gaps in science and research information,” Sains Malaysiana, vol. 41, no. 11, pp. 1355–1366, 2012.

Z. Liu, C. Cao, P. Yang, and Y. Zhou, “Energy Saving Control in Air Conditioning System Based on Flexible Iterative Learning Control,” 2008 2nd International Symp. Intell. Inf. Technol. Appl., pp. 560–564, 2008.

K. Venkatesan, and U. Ramachandraiah, “Adaptive Automation and Run Time Equalization with Real Time Monitoring for Split Air Conditioners in Telecom Applications for Energy Efficiency,” Int. Conf. Robot. Autom. Control Embed. Syst. – RACE 2015, no. February, 2015.

K. Katabira, H. Zhao, Y. Nakagawa, and R. Shibasaki, “Real-Time Monitoring of People Flows and Indoor Temperature Distribution for Advanced Air-Conditioning Control,” Proc. 11th Int. IEEE Conf. Intell. Transp. Syst. Beijing, China, Oct. 12-15, 2008 Real-Time, pp. 664–668, 2008.

J. Y. Wang, Y. K. Chuah, S. W. Chou, and T. H. Lo, “Non-invasive Zigbee wireless controller for air- conditioner energy saving,” Wireless Communications, Networking and Mobile Computing (WiCOM), 2011 7th International Conference onpp. 26–29, 2011.

P. Nangtin, P. Kumhom, and K. Chamnongthai, “Adaptive actual load for energy saving in split type air conditioning,” 2016 16th Int. Symp. Commun. Inf. Technol. Isc. 2016, pp. 182–185, 2016.

S. Wang and J. Xie, “Integrating Building Management System and facilities management on the Internet,” Automation in Control, vol. 11 (6), pp. 707–715, 2002.

S. Wang, “Dynamic simulation of building VAV air-conditioning system and evaluation of EMCS on-line control strategies,” Building and Environment, vol. 34 (6), pp. 681–705, 1999.

Z. Haider, F. Mehmood, X. Guan, J. Wu, Y. Liu, and P. Bhan, “Scheduling of Air Conditioner Based on Real Time Price and RealTime Temperature,” Control and Decision Conference (CCDC), 2015 27th Chinese, pp. 5134–5138, 2015.

J. Jing and Z. Xuesong, "Temperature control system of airconditioning based on the fuzzy theory," 2011 IEEE International Conference on Mechatronics and Automation, pp. 387–391.

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Published

2018-07-04

How to Cite

Ahmad, A., Nizar, M. S., Mohd Nadzri, M. M., Roslan, M. F., & Amira, A. (2018). Design and Implementation of Computing-based Air Conditioner (AC) (ComBAC) – A Preliminary Work. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(2-5), 69–73. Retrieved from https://jtec.utem.edu.my/jtec/article/view/4352