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Global J. Environ. Sci. Manage. 6(4): 467-480, Autumn 2020*Corresponding Author:Email: nimaamani@iauc.ac.ir Phone: +98011 447749800Fax: +98 11-4474-7833Global Journal of Environmental Science and Management (GJESM)Homepage: https://www.gjesm.net/ORIGINAL RESEARCH PAPEREffective energy consumption parameters in residential buildings using Building Information ModelingN. Amani*, A.A. Reza SoroushDepartment of Civil Engineering, Chalous Branch, Islamic Azad University, Chalous, IranBuilding information modeling can help in predicting the energy efficiency in future based on dynamic patterns obtained by visualization of data. The aim of this study was to investigate the effective parameters of energy consumption using BIM technology which can evaluate the buildings 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 most 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 cost 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 schemes of energy use intensity optimization showed that 16.30% savings could be achieved by the base building model in a 30-year time horizon. Therefore, it was concluded that optimization of energy consumption would reduce the environmental pollutants emission and contribute to preservation and sustainability of the environment. %u00a92020 GJESM. All rights reserved.ARTICLE INFO Article History:Received 08 January 2019Revised 15 March 2020Accepted 30 April 2020 Keywords:Building energy conservationBuilding Information Modeling (BIM)Energy efficiencyEnergy managementEnergy simulationABSTRACTDOI: 10.22034/gjesm.2020.04.04NUMBER OF REFERENCES27NUMBER OF FIGURES6NUMBER OF TABLES10Note: Discussion period for this manuscript open until January 1, 2021 on GJESM website at the %u201cShow Article.