TY - GEN
T1 - Compensation of HVAC system nonlinearities using cascaded control architecture
AU - Price, Christopher R.
AU - Rasmussen, Bryan P.
N1 - Publisher Copyright:
Copyright © 2014 by ASME.
PY - 2014
Y1 - 2014
N2 - Research into heating, ventilation, and air conditioning systems has shown that coordinating building climate control leads to large energy savings. However, most analyses have assumed linear dynamics not reflective of actual systems. Using a cascaded control architecture, this linear behavior can be recovered, allowing for maximum energy savings to be realized. Case studies on variable air volume, hydronic radiator, and terminal fan controlled systems demonstrate the broad app lication and benefits of this app roach. Also, because of the architectural simplicity and lack of required a priori knowledge of system performance or characteristics, the cascaded controller can be implemented immediately in the HVAC community.
AB - Research into heating, ventilation, and air conditioning systems has shown that coordinating building climate control leads to large energy savings. However, most analyses have assumed linear dynamics not reflective of actual systems. Using a cascaded control architecture, this linear behavior can be recovered, allowing for maximum energy savings to be realized. Case studies on variable air volume, hydronic radiator, and terminal fan controlled systems demonstrate the broad app lication and benefits of this app roach. Also, because of the architectural simplicity and lack of required a priori knowledge of system performance or characteristics, the cascaded controller can be implemented immediately in the HVAC community.
UR - http://www.scopus.com/inward/record.url?scp=84929251950&partnerID=8YFLogxK
U2 - 10.1115/DSCC2014-6127
DO - 10.1115/DSCC2014-6127
M3 - Conference contribution
AN - SCOPUS:84929251950
T3 - ASME 2014 Dynamic Systems and Control Conference, DSCC 2014
BT - Dynamic Modeling and Diagnostics in Biomedical Systems; Dynamics and Control of Wind Energy Systems; Vehicle Energy Management Optimization; Energy Storage, Optimization; Transportation and Grid Applications; Estimation and Identification Methods, Tracking, Detection, Alternative Propulsion Systems; Ground and Space Vehicle Dynamics; Intelligent Transportation Systems and Control; Energy Harvesting; Modeling and Control for Thermo-Fluid Applications, IC Engines, Manufacturing
PB - American Society of Mechanical Engineers
T2 - ASME 2014 Dynamic Systems and Control Conference, DSCC 2014
Y2 - 22 October 2014 through 24 October 2014
ER -
