This paper develops and utilizes an optimization based framework to investigate the maximal energy efficiency potentially attainable by HVAC system operation in a non-predictive context. Performance is evaluated relative to the existing state of the art set-point reset strategies. The expected efficiency increase driven by operation constraints relaxations is evaluated.
Revised: July 26, 2017 |
Published: July 3, 2017
Citation
Ramachandran T., S. Kundu, Y. Chen, and D.L. Vrabie. 2017.Towards a framework for selection of supervisory control for commercial buildings: HVAC system energy efficiency. In American Control Conference (ACC 2017), May 24-26, 2017, Seattle, Washington, 2925-2930. Piscataway, New Jersey:IEEE.PNNL-SA-124310.doi:10.23919/ACC.2017.7963395