Main Article Content
Air conditioning, Control, Energy system, Fuzzy logic, Savings
Efficient air cooling in an air conditioning system minimizes power consumption. The air conditioning system is considered one of the home appliances in which a massive amount of electrical energy is recorded, especially in the urban area. In this work, the fuzzy logic controller is designed to save energy for northeastern Nigeria using six and two input and output parameters respectively. The input parameters consist of the temperature of the user, temperature difference, number of occupants, time of the day, dew point temperature, and weather conditions. The output parameters consist of compressor speed and operation mode. The controller performance was simulated. The controller is designed in such a way that it can control the compressor speed leading to energy savings, and the operation mode to optimize humidity conditions, and when the room gets hot, it switches to air conditioning. The simulated result showed that a good percentage of electrical power could be saved when fuzzy logic is utilized
 S. K. Dash and G. Mohanty, “Intelligent Air Conditioning System using Fuzzy Logic,” Int. J. Sci. Eng. Res., vol. 3, no. 12, pp. 1–6, 2012.
 A. Saepullah, “Comparative Analysis of Mamdani, Sugeno and Tsukamoto Method of Fuzzy Inference System for Air Conditioner Energy Saving,” J. Intell. Syst., vol. 1, no. 2, pp. 143–147, 2015.
 A. T. M. Abdo-Allah, “Dynamic modeling and fuzzy logic control of a large building HVAC system,” Memorial University of Newfoundland, 2020. [Online]. Available: https://research.library.mun.ca/14485/1/thesis.pdf
 H. S. Dizaji, S. Jafarmadar, and S. Khalilarya, “Novel experiments on COP improvement of thermoelectric air coolers,” Energy Convers. Manag., vol. 187, pp. 328–338, 2019, doi: 10.1016/j.enconman.2019.03.025.
 H. Nasution, K. Sumeru, A. A. Aziz, and M. Y. Senawi, “Experimental study of air conditioning control system for building energy saving,” Energy Procedia, vol. 61, pp. 63–66, 2014, doi: 10.1016/j.egypro.2014.11.907.
 M. A. Islam and M. S. Hossain, “The Development of Fuzzy Logic Controller (FLC) in Air Conditioning System Using Several Types of Fuzzy Numbers,” Intern. J. Fuzzy Math. Arch., vol. 1, no. x, pp. 2320–3250, 2021, [Online]. Available: www.researchmathsci.orgdoi:http://dx.doi.org/10.22457/ijfma.v19n1a01223
 S. Shodiya, U. . Mukhtar, and A. . Abdurazaq, “Fuzzy Logic Control of Domestic Airconditioning System for Energy Savings,” Niger. J. Eng. Sci. Technol. Res., vol. 3, no. 2, pp. 57–67, 2017.
 V. Singh, “Design Analysis of Fuzzy logic Model for the Control of Compressor Motor Speed of an Air Conditioning System,” 2014.
 S. Saha, S. K. Saha, I. S. Iqbal, A. K. Kundu, M. T. H. Khan, and S. K. Pramanik, “Designing of a Air Conditioning System Using Fuzzy Logic with Advantage of Energy Savings: International Conference on Imformatics,” 2014. doi: 10.1109/ICIEV.2014.6850757