Improving Energy Management through Demand Response Programs for Low-Rise University Buildings

Recently, energy costs have increased significantly, and savings become more important, leading to the use of different patterns align with characteristics demand-side load. This paper focused on management low-rise university buildings, examining demand response related air conditioning lighting by measuring main parameters collecting managing data from these characteristics. system seeks control communicate aim reducing amount peak using a digital power meter installed inside distribution unit, an RS-485 communication port connected converter then displayed computer screen. The time were managed software optimization model algorithm based split type unit. unit had highest consumption in building as it works provide comfortable environment temperatures outside building. There was renewable source that compensated for usage decrease load curve when highest, mostly during business hours. An external providing 20 kWh solar inverter feeds into each phase distribution. controlled program algorithm. After applying real-time intelligent management, efficient presented this research could generate 25% AC system. A comparison key shows due room temperature combination split-type conditioning.