This paper describes the development and implementation of a simulation testbed used to study the concept of employing intelligent agents to optimize the performance of building Heating, Ventilating, and Air Conditioning (HVAC) systems. One day simulated cost savings results are presented for intelligent agents employing both a simple optimization method (SOM) and an advanced optimization method (AOM). The potential benefits and problems associated with each method are discussed and recommendations are made for future research efforts leading to the application of intelligent agents in real building.
Citation: Hvac&R Research
Pub Type: Journals
building automation and control, intelligent agents, optimization, energy efficiency, HVAC systems