Effective Energy Consumption Parameters in Residential Buildings Using Building Information Modeling

Building information modeling can help in predicting energy efficiency in the future based on dynamic patterns obtained by visualization of data. This study aimed to investigate the effective parameters of energy consumption using BIM technology which can evaluate the building’s energy performance. First, three forms of general states in the building were modeled to evaluate the proposed designs in Autodesk Revit Software. Then, the main building form for energy modeling and analysis was selected. Autodesk Revit 2020 software was also used to obtain the results of climate data analysis and building energy consumption index. Finally, the optimal mode was selected by examining different energy consumption modes. The results showed that the use of building information modeling technology in adjusting the parameters affecting energy consumption can save energy costs up to 58.23% in block D. Energy cost savings for block C and the western lobby were obtained as 51.03% and 43.05%, respectively. Based on energy use intensity, energy cost savings for blocks C, D, and the western lobby were estimated as 16.67%, 16.30%, and 11%, respectively. The results of parametric studies on alternative energy use intensity optimization schemes showed that 16.30% savings could be achieved by the base building model in a 30-year time horizon. Therefore, it was concluded that optimizing energy consumption would reduce environmental pollutant emissions and contribute to the preservation and sustainability of the environment.