ENHANCING ENERGY REDUCTION IN BUILDING MULTI-CIRCUIT AIR CONDITIONING SYSTEMS USING A HIGH-PERFORMANCE DIGITAL CONTROLLER

Authors

  • Ibrahim Oleolo School of Mechanical Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor, Johor, Malaysia
  • Hayati Abdullah School of Mechanical Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor, Johor, Malaysia
  • Mohamad Maziah School of Mechanical Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor, Johor, Malaysia
  • Alhussaini Wahab Salim Nasser College of Computing and Informatics, Universiti Tenaga Nasional, Putrajaya Campus, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor Darul Ehsan, Malaysia
  • Samuel Moveh Transport & Telecommunication Institute, LV-1019 Riga, Latvia
  • Emmanuel Alejandro Merchán-Cruz Transport & Telecommunication Institute, LV-1019 Riga, Latvia
  • Muteb Sinhat Almarshadi Department of Computer Science/College of Sciences & Human Studies, Dawadmi, Shaqra University, Shaqra, Saudi Arabia
  • Ihab Hasan Hatif Al-Furat Al-Awsat Technical University, Technical Institute of Al-Mussaib, Iraq

DOI:

https://doi.org/10.11113/jurnalteknologi.v88.25401

Keywords:

Air Conditioning, Digital Controller, Energy Management

Abstract

With buildings accounting for a significant share of global energy use, Energy management in buildings plays a critical role in reducing energy consumption, minimizing operational costs, and promoting environmental sustainability. Air conditioning system has the highest energy consumption in buildings, thus it is a necessity to reduce the rate at which energy is being consumed in Air conditioning. Energy management research in air conditioning systems is numerous, but very few studies were carried out involving an operational centralized multi-circuit air conditioning system. This paper presents a study on the application of digital on/off control system on an installed and operational multi-circuit centralized air cooled air-conditioning system. The digital on/off control implementation was compared with the on/off control's baseline energy usage. The results obtained showed that the digital controller was able to save 12.6%, 18.9% and 21.8% of energy consumption at temperature setpoints of 23oC, 24oC, 25oC respectively. In this study an operational multi-circuit centralized air conditioning system's performance has improved and energy consumption has decreased as a result of the digital control approach developed by this study

References

[1] E. Özahi, A. Abuşoğlu, A. İ. Kutlar, and O. Dağcı, “A comparative thermodynamic and economic analysis and assessment of a conventional HVAC and a VRF system in a social and cultural center building,” Energy Build., vol. 140, pp. 196–209, Apr. 2017, doi: https://10.1016/j.enbuild.2017.02.008.

[2] F. Ascione, N. Bianco, F. de’ Rossi, G. Turni, and G. P. Vanoli, “Green roofs in European climates. Are effective solutions for the energy savings in air-conditioning?,” Appl. Energy, vol. 104, pp. 845–859, Apr. 2013, doi: https://10.1016/j.apenergy.2012.11.068.

[3] H. Abdullah, O. Ibrahim, M. N. M. Jaafar, M. Maziah, and S. Sulaiman, “Energy Savings in a Multi-Circuit Water-Cooled Packaged Unit Air-Conditioning System,” vol. 76, no. 1, 2020.

[4] N. N. Abu Bakar et al., “Energy efficiency index as an indicator for measuring building energy performance: A review,” Renew. Sustain. Energy Rev., vol. 44, pp. 1–11, Apr. 2015, doi: https://10.1016/j.rser.2014.12.018.

[5] A. Mohammed, A. Mustapha, and N. Mu’azu, “Energy efficient buildings as a tool for ensuring sustainability in the building industry,” in 2011 International Conference on Multimedia Technology, Jul. 2011, pp. 4402–4405. doi: https://10.1109/ICMT.2011.6003238.

[6] I. Oleolo, H. Abdullah, M. Mohamad, and M. N. M. Jaafar, “Model Selection for the Control of Temperature in a Centralized Air Conditioning System,” vol. 74, no. 1, 2020.

[7] Z. Yang, A. Ghahramani, and B. Becerik-Gerber, “Building occupancy diversity and HVAC (heating, ventilation, and air conditioning) system energy efficiency,” Energy, vol. 109, pp. 641–649, Aug. 2016, doi: https://10.1016/j.energy.2016.04.099.

[8] A. Afram and F. Janabi-Sharifi, “Review of modeling methods for HVAC systems,” Appl. Therm. Eng., vol. 67, no. 1, pp. 507–519, Jun. 2014, doi: https://10.1016/j.applthermaleng.2014.03.055.

[9] S. Carlucci, L. Bai, R. de Dear, and L. Yang, “Review of adaptive thermal comfort models in built environmental regulatory documents,” Build. Environ., vol. 137, pp. 73–89, Jun. 2018, doi: https://10.1016/j.buildenv.2018.03.053.

[10] D. Kim, J. Lee, S. Do, P. J. Mago, K. H. Lee, and H. Cho, “Energy Modeling and Model Predictive Control for HVAC in Buildings: A Review of Current Research Trends,” Energies, vol. 15, no. 19, p. 7231, Jan. 2022, doi: https://10.3390/en15197231.

[11] I. Oleolo et al., “System Identification Modelling for Humidity Control in a Centralised Water-Cooled Package Unit Air Conditioning System,” Niger. J. Technol. Dev., vol. 22, no. 5, pp. 135–144, Dec. 2025, doi: https://10.63746/njtd.v22i5.3587.

[12] I. Oleolo, H. Abdullah, M. Mohamad, M. N. M. Jaafar, A. Baharain, and S. Sulaiman, “Multi-circuit air-conditioning system modelling for temperature control,” J Adv Res Fluid Mech Therm Sci, vol. 83, no. 2, pp. 14–24, 2021.

[13] C. Ai, J. Yang, and R. Chen, “Energy-Saving Practice of Variable Frequency Drive Technology in Data Center HVAC System,” in 2023 5th International Conference on Power and Energy Technology (ICPET), Jul. 2023, pp. 240–247. doi: https://10.1109/ICPET59380.2023.10367206.

[14] H. Jouhara and J. Yang, “Energy efficient HVAC systems,” Energy Build., vol. 179, pp. 83–85, Nov. 2018, doi: https://10.1016/j.enbuild.2018.09.001.

[15] B. Farinaz, R. R. Abdul, S. Khairulmizam, and E. Hossein, “Energy saving by applying the fuzzy cognitive map control in controlling the temperature and humidity of room,” Int. J. Phys. Sci., vol. 12, no. 1, pp. 13–23, Jan. 2017, doi: https://10.5897/IJPS11.822.

[16] I. Oleolo, H. Abdullah, M. Mohamad, M. N. M. Jaafar, A. Baharain, and S. Sulaiman, “MODEL ANALYSIS FOR THE CONTROL OF HUMIDITY IN A WATER-COOLED CENTRALIZED AIR CONDITIONING SYSTEM,” in THE 9th INTERNATIONAL

GRADUATE CONFERENCE ON ENGINEERING, SCIENCE AND HUMANITIES, UNIVERSITI TEKNOLOGI MALAYSIA, 2022, p. 59. Accessed: Mar. 13, 2025. [Online]. Available: https://www.researchgate.net/profile/Adlin-Shaflina/publication/364164882_The_Identification_Of_Cognitive_Criteria_In_Design_Review_Decision_Making/links/633d2b6c76e39959d69dfa5c/The-Identification-Of-Cognitive-Criteria-In-Design-Review-Decision-Making.pdf#page=79

[17] I. Synnøve Jönsson, “System identification for control of temperature and humidity in buildings,” 2015, Accessed: Mar. 13, 2025. [Online]. Available: https://lup.lub.lu.se/student-papers/search/publication/7440340

[18] M. Zimmermann, H.-J. Althaus, and A. Haas, “Benchmarks for sustainable construction: A contribution to develop a standard,” Energy Build., vol. 37, no. 11, pp. 1147–1157, 2005.

[19] I. Oleolo et al., “Long Short-Term Memory Neural Network Model for the Control of Temperature in A Multi-Circuit Air Conditioning System,” 2022, Accessed: Mar. 15, 2025. [Online]. Available: https://www.researchgate.net/profile/Balogun-Adebayo/publication/372287900_Paper_with_Dr_oleolo_control_UTM_2022_paper_journalpdf/data/64ae318495bbbe0c6e2d8e45/Paper-with-Dr-oleolo-control-UTM-2022-paper-journal.pdf

[20] Z. Zhong, X. Xu, X. Zhang, and Z. Huang, “Simulation based control performance evaluation of a novel fuzzy logic control algorithm for simultaneously controlling indoor air temperature and humidity using a direct expansion (DX) air-conditioning (A/C) system,” Procedia Eng., vol. 205, pp. 1792–1799, 2017.

[21] J. C. Lam, C. L. Tsang, and L. Yang, “Impacts of lighting density on heating and cooling loads in different climates in China,” Energy Convers. Manag., vol. 47, no. 13–14, pp. 1942–1953, 2006.

[22] A. Handbook—Fundamentals, “SI edition. Atlanta, GA: American Society of Heating, Refrigerating and Air-Conditioning Engineers.” Inc, 2005.

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Published

01-11-2026

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Section

Science and Engineering

How to Cite

ENHANCING ENERGY REDUCTION IN BUILDING MULTI-CIRCUIT AIR CONDITIONING SYSTEMS USING A HIGH-PERFORMANCE DIGITAL CONTROLLER. (2026). Jurnal Teknologi (Sciences & Engineering), 88(6), 190-201. https://doi.org/10.11113/jurnalteknologi.v88.25401