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Are intelligent agents the key to optimizing building HVAC system performance?



George E. Kelly, Steven T. Bushby


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.
Hvac&R Research


building automation and control, intelligent agents, optimization, energy efficiency, HVAC systems


Kelly, G. and Bushby, S. (2012), Are intelligent agents the key to optimizing building HVAC system performance?, Hvac&R Research, [online], (Accessed July 22, 2024)


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Created August 9, 2012, Updated October 12, 2021