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Optimization of Building HVAC Systems Using Intelligent Agents - A Proof of Concept Study

Published

Author(s)

George E. Kelly, Steven T. Bushby

Abstract

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 discussions and recommendations are made for future research efforts leading to the application of intelligent agents in real building.
Citation
Technical Note (NIST TN) - 1707
Report Number
1707

Keywords

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

Citation

Kelly, G. and Bushby, S. (2011), Optimization of Building HVAC Systems Using Intelligent Agents – A Proof of Concept Study, Technical Note (NIST TN), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=908632 (Accessed April 18, 2024)
Created October 2, 2011, Updated October 12, 2021