This thesis presents an integrated model and methodology to quantify and demonstrate
the thermal 
exibility potential of a residential building featuring an air-based building integrated
photovoltaic thermal (BIPV/T) system coupled to an air-source heat pump and a
water-based sensible thermal energy storage.
A BIPV/T system is used to preheat outdoor air drawn under the PV with a fan, in
addition to producing solar electricity. The pre-heated air leaving the BIPV/T cavity in the
heating season is sent to the evaporator coil of the air-source heat pump so as to increase
its coe�cient of performance. The condenser side of the heat pump is connected to a water
thermal energy storage from which water is fed to a hydronic air-system used for space
heating. An integration with a thermal energy storage as a means of decoupling the loads
from the source is proposed with the objective of shifting thermal loads and electrical peak
demand so that they are outside the peak demand periods for the grid.
A model was developed and a case study of a residential net-zero energy solar building
was simulated in TRNSYS. Rule-based control strategies and a deterministic electrical grid
state schedule were used to optimize the pro�le of the electric demand of the building. The

exibility potential of di�erent design alternatives and control strategies were quanti�ed using
load matching grid interaction indicators, energy metrics, and di�erent pricing schemes. The
gross energy consumption of the building was reduced by more than 40% during peak grid
events, the overall coe�cient of performance of the air-source heat pump was improved by
22%, and the cost of electricity was decreased by 46% with the implementation of a variable
tari� price structure and a net-metering agreement.