The increasing trend of Earth’s temperature in the past century has made the world search for solutions to preserve our planet in a livable condition and prevent the climate from exacerbating. Becoming net-zero energy can pave the way to achieving the global goal of reducing gas emissions and saving the planet. This can be done by practicing various approaches. Switching to renewable energy sources in the residential sector, which accounts for a considerable portion of global energy consumption, is one of the most effective ways.
This study aims to design and simulate the power electronics of a research solar house located at the Loyola Campus of Concordia University, Montréal, Canada. This research facility is built to investigate numerous renewable energy systems that can help achieve the net-zero energy goal for a typical detached single-family dwelling in Québec. This building, known as Future Buildings Laboratory (FBL), has integrated renewable energy sources such as solar, solar-thermal, and wind which allow the opportunity of testing different scenarios.
In this research, the power electronic system of the solar power system of the FBL is simulated in PSIM software considering the rated load of the house and the ratings of the real-life system.  other. The simulations are straightforward models of the actual system in three modes of operation: 1) grid feeds the load, 2) grid charges the battery, and 3) battery feeds the load. Each mode of operation is modeled as a unique circuit. Frequency-domain modeling of the system is also carried out in order to design the controllers. The system’s transfer function is estimated considering the system as a black box and is compared with an analytically derived transfer function to check the accuracy of the estimation. 
The last step is to validate the simulation results. For this, the third mode of operation is performed experimentally at the PEER group laboratory, Concordia University, using available converters, devices, and the real-time simulator (OPAL-RT). Various experiments are conducted to observe the performance of the simulated model in real conditions. The time-domain and frequency-domain experimental results closely match those acquired via simulation.