This study examines the feasibility of using solar photovoltaic (PV) systems integrated with building automation (BEMS), considering the impact of greenhouse gas emissions resulting from high energy consumption in the building sector. To achieve this goal, this study focuses on a residential building in the city of Ilam, Iran. It addresses key issues such as optimizing energy consumption, reducing dependence on the national grid, and enhancing the thermal comfort of residents. To perform the simulation, a research study was conducted using the Design Builder software and a multi-objective MINLP optimization model. The goal is to reduce energy consumption and greenhouse gas emissions while improving the comfort of building occupants (temperature, humidity, and lighting). In this simulation model, the automation system designed for the building adjusts the performance of the HVAC system based on the desired comfort indicators. The software output results for both winter and summer seasons show a considerable benefit from using a system with a hybrid photovoltaic (PV) setup compared to a scenario without PV. This hybrid system significantly reduces energy consumption and greenhouse gas emissions. The system, equipped with solar panels, not only provides electricity for the building but also significantly reduces carbon dioxide emissions by decreasing reliance on fossil fuels. This, in turn, lessens the building's dependence on the electricity grid. In addition to meeting part of the building's energy needs, the solar panels provide shade on the roof during hot seasons. This shade lowers the building's radiant heat and reduces sunlight intensity on the roof, which enhances cooling efficiency and decreases the energy consumption of the refrigeration system. This research offers a practical and analytical framework for designing and managing energy-efficient and environmentally friendly buildings, aligning with sustainable development goals.
