An Analysis on Energy Performance Assessment for Energy Efficiency Measures in Selected Commercial Buildings Using IoT Simulation Frameworks

Climate change has been exacerbated by the overuse of commercial buildings, which significantly impacts the environment. Researchers have found that commercial buildings consume a substantial amount of energy and emit considerable carbon into the atmosphere. Many residential spaces are now occupied by commercial buildings, where people meet their various needs. These commercial buildings typically contain Heating, Ventilation, and Air Conditioning (HVAC) systems, as well as refrigeration systems, which are the primary sources of energy consumption in these facilities. These technologies are employed to enhance customer satisfaction, make shopping more comfortable, and reduce food waste. The main purpose of this article is to estimate the heating and cooling load of a building using system simulation and modeling frameworks, providing a futuristic view of Building Information Modeling (BIM) and the Internet of Things (IoT). This involves detecting the occupancy of a building and considering HVAC systems to estimate the heating and cooling load using an Energy Management System. The eQUEST-3.63b software has been used for building energy modeling and simulation to improve energy efficiency in commercial buildings by evaluating the effectiveness of proposed energy efficiency measures. As a result of implementing these measures, the total cost of energy consumption has been reduced by 13.9%. This demonstrates a significant potential for energy savings and conservation in commercial buildings, which is particularly valuable in the developing world.