As part of an effort to achieve a better balance between the power demand and supply, load (demand) control simulation framework is previously developed. In the framework, HVAC load is used as a control resource, driven by the thermostat logic modeled within the framework. However, it has not been proved, whether a com- mercial thermostat is able to perform modeled thermostat’s features. Therefore, it is desired to integrate a commercial thermostat to the framework, to verify its capabil- ity of participating and performing the Demand Response (DR) scheme developed. A ‘Nest Learning Thermostat’ is selected as a commercial thermostat. Nest Application Programming Interface (API) is used to import response of the Nest thermostat, as well as to input desired settings on the thermostat. A PID control system is imple- mented to regulate the temperature of a physical chamber, where the Nest thermostat is installed. As a result, the Nest thermostat is verified to be capable of responding to the DR signal. Also, simulation of the Nest thermostat is obtained by modeling its inertial behavior and switching logics empirically observed. A few limitations of the current study is introduced, and future work to overcome the limitations is proposed.
Demand response, smart thermostat, smart grid
Level of Degree
First Committee Member (Chair)
Second Committee Member
Third Committee Member
Choi, Jee Won. "Integration of a Commercial Smart Thermostat to the Aggregated Load Control Simulation Framework." (2018). https://digitalrepository.unm.edu/me_etds/161