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479Global J. Environ. Sci. Manage., 6(4): 467-480, Autumn 2020energy consumption using the Building Information Modeling (BIM) technology. After reviewing the proposed designs and choosing the building form, an exact model of building elements was created in the Autodesk Revit software. Then, the energy model was generated based on the basic parameters. The results showed that application of the building information modeling technology for adjusting the parameters affecting energy consumption would save up to 58.23% energy cost for block D. This value was 51.03% for block C and 43.05% for the western lobby. As a result, this value would be 16.67%, 16.30% and 11% for blocks C, D, and the western lobby, respectively, based on the energy use intensity. Finally, adjusting the energy-efficient parameters led to reduction of energy cost in the building. The energy simulation results showed that 16.30% saving would be achieved based on energy use intensity for the base building model in a 30-year time horizon. AUTHOR CONTRIBUTIONSN. Amani performed the methodology, investigation, validation, conceptualization, and supervision. A.A. Reza Soroush performed the literature review, data collection, software, and writing the original draft.ACKNOWLEDGEMENTSThis study was supported by the Chalous Branch, Islamic Azad University for a postgraduate thesis. CONFLICT OF INTERESTThe authors declare that there is no conflict of interests regarding the publication of this manuscript. In addition, the ethical issues, including plagiarism, informed consent, misconduct, data fabrication and/or falsification, double publication and/or submission, and redundancy have been completely observed by the authors.ABBREVIATIONSACH Air Changes per HourAFUE Annual Fuel Utilization EfficiencyBIM Building Information ModelingCM CentimetersE East EFF EfficiencyHVAC Heating, ventilation, and air conditioningK Thermal conductivity of the materialkWh kilowatt-hourkWh/m2/y kilowatt-hour per square meter per yearL LiterL/s Liter per secondL/(s.m2) Liter per second to square meterM MeterM2 Square meterN NorthR13+R10 American energy codesS SecondSEER Seasonal Energy Efficiency RatioSGL Standard General LedgerUSD United State DollarUSD/m2/y United State Dollar per square meter per yearVAV Variable Air VolumeW WattW/m2 Watt per square meterW/m2K Watt per square meter per thermal conductivity of the materialy Year% Percent$ DollaroC degree Celsius REFERENCESAbanda, F.H.; Byers, L., (2016). An investigation of the impact of building orientation on energy consumption in a domestic building using emerging BIM (Building Information Modelling). Energy. 97: 517%u2013527 (11 pages). Banteli, A.; Stevenson, V.E., (2017). Building information modelling (BIM) as an enabler for whole-building embodied energy and carbon calculation in Early-Stage building design. WIT Trans. Built Environ., 169: 89%u2013100 (12 pages). Beazley, S.; Heffernan, E.; McCarthy, T.J., (2017). Enhancing energy efficiency in residential buildings through the use of BIM: The case for embedding parameters during design. Energy Procedia, 121: 57%u201364 (8 pages). Cemesova, A.; Hopfe, C.J.; McLeod, R.S., (2015). Passive BIM: Enhancing interoperability between BIM and low energy design