Optimizing energy consumption of air-conditioning systems with the fuzzy logic controllers in residential buildings: Optimizing energy consumption of air-conditioning systems in residential buildings

摘要: In this research work, two energy management controllers are proposed: swarm optimization fuzzy mamdani (SOFM) and sugeno (SOFS) for the efficient scheduling controlling of electric loads in a residential building which is comprised 10 apartments having single family setup. Two types considered terms of: daily used appliances seasonally appliances. addition, demand side strategies managing both type concerning to load shifting curtailment. Daily commonly buildings; whereas loads, only air-conditioning systems considered. Load technique (binary particle optimization) applied curtailment strategy (fuzzy logic) order manage an effective fashion. The input parameters are: number appliances, time-slots, power rating, length operation time utility price case loads; we following parameters: initialized setpoints, user occupancy, ratings, indoor outdoor temperature. Output consumption (EC), cost, peak average ratio (PAR) efficiency. Simulations performed Matlab results proved that our proposed controllers: SOFM SOFS outperformed unscheduled existing approaches minimizing EC, PAR approach till 45% 48% EC cost reduction.