Distributed Energy Feedback Control for Demand Response Operations in Commercial HVAC Systems

Hurt, Rodney

Distributed Energy Feedback Control for Demand Response Operations in Commercial HVAC Systems

dc.contributor.advisor	Song, Li
dc.contributor.author	Hurt, Rodney
dc.contributor.committeeMember	Cai, Jie
dc.contributor.committeeMember	Shabgard, Hamidreza
dc.date.accessioned	2021-08-05T16:00:23Z
dc.date.available	2021-08-05T16:00:23Z
dc.date.issued	2021-08
dc.date.manuscript	2021-07
dc.description.abstract	The goal of this thesis is to identify methods to control a commercial Heating, Ventilation, and Air Conditioning (HVAC) system that results in precise control of the cooling coil load and the ability to prioritize the comfort of certain zones. The state of the art method of zone temperature setpoint adjustments is introduced and the weaknesses are identified. Temporarily resetting the zone temperature setpoints shows the capacity to significantly reduce the cooling coil load, but the load is not controlled precisely. The setpoint reset method is compared through simulation and experimentation to the proposed solutions of Energy Demand Response control (EDR) and Transactive Control and Coordination (TCC) integrated with EDR control. A model of the system that captures the relevant behaviors was developed to test each of the control strategies under different scenarios. Through simulation it was found that EDR control can precisely regulate the cooling coil load but does not provide any way to prioritize the zones. EDR combined with TCC precisely controls the cooling coil load and allows for the comfort of specific zones to be prioritized. The setpoint reset and EDR control strategies were validated experimentally on a multizone variable air volume air handling unit. The cooling coil load during a period of setpoint reset was experimentally found to vary between 1.1±0.4 refrigeration tons. The cooling coil load under EDR control was regulated between 1.1±0.1 refrigeration tons. Future areas of study have been identified, which includes using a virtual flow meter for EDR control and increasing the scale of EDR+TCC implementation.	en_US
dc.identifier.uri	https://hdl.handle.net/11244/330214
dc.language	en	en_US
dc.rights	Attribution-ShareAlike 4.0 International	*
dc.rights.uri	http://creativecommons.org/licenses/by-sa/4.0/	*
dc.subject	Energy Feedback Control	en_US
dc.subject	Grid Interaction	en_US
dc.subject	Load Distribution	en_US
dc.subject	Commercial HVAC	en_US
dc.thesis.degree	Master of Science	en_US
dc.title	Distributed Energy Feedback Control for Demand Response Operations in Commercial HVAC Systems	en_US
ou.group	Gallogly College of Engineering::School of Aerospace and Mechanical Engineering	en_US