Anjali Reddy
Independent Researcher
India
Abstract
Heating, Ventilation, and Air Conditioning (HVAC) systems are among the most significant energy consumers in buildings worldwide. Optimizing energy consumption while maintaining thermal comfort is a critical engineering challenge. Conventional control strategies often fail to handle the nonlinearities and uncertainties inherent in HVAC systems effectively. Fuzzy Logic Controllers (FLCs), by mimicking human reasoning and dealing efficiently with imprecise data, offer an effective solution for such systems. This manuscript explores the application of FLCs in HVAC systems, focusing on energy optimization without compromising occupant comfort. It covers the fundamental principles of fuzzy logic control, reviews state-of-the-art applications in HVAC energy management up to 2021, presents methodology for implementing FLCs in HVAC, and analyzes results from simulated and experimental studies. The findings confirm that FLCs improve energy efficiency by dynamically adjusting control parameters, reduce energy consumption by up to 15%, and maintain occupant comfort within acceptable ranges. The study concludes with insights into future improvements and integration of fuzzy logic with other intelligent control techniques.
Keywords Fuzzy Logic Controller, HVAC, Energy Optimization, Thermal Comfort, Nonlinear Control, Building Automation
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