Abstract

This paper presents an experimental implementation of a whole building model predictive control (MPC) approach for a LEED gold certified academic building. The MPC is divided into portions for morning start and daytime optimization, to allow for specialized models to be used for the varying tasks. The MPC consists of a whole building optimization for energy that is supplemented with a zone operative temperature (ZOT) comfort metric. A ZOT based metric was used to evaluate thermal comfort, as traditional air temperature metrics neglect radiative impacts on comfort. The comfort metric is employed after the energy optimization to ensure comfort is the highest priority and maintained in each zone. A final layer of occupant feedback is incorporated to allow for users to provide feedback as to their comfort level and allow for changes in the comfort temperature range for their space. A four-month experimental test period shows a 29% HVAC electric energy reduction and a 63% thermal energy reduction compared to previous years for the same time period.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.