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473Global J. Environ. Sci. Manage., 6(4): 467-480, Autumn 2020by the BIM title in the provided data. According to Table 2, the parameters presented in Table 3 were used to examine the various ideas of multi-mass concept design. Then, based on the parameters in Table 4, the main form of the building was selected after reviewing the proposed designs. After creating the building model (current condition of the building), energy analysis was performed based on the parameters presented in Table 5. Finally, the lowest energy consumption in the building was achieved by setting the parameters effecting energy consumption.Building energy simulation and data analysisBIM data export process After modeling and adjusting the parameters required in the Autodesk Revit software (Table 5), the energy model was created using the analyze tab (Fig. 2). Then, an Autodesk account was used to send the energy model and receive the data analysis results. It should be noted that by sending the energy model through the Autodesk Revit software to the Autodesk Insight software, the energy model is simultaneously sent to the Autodesk Green Building Studio software. Climate dataAfter sending the energy model, the climate data, as the first element of the environment in which the building is located, were automatically taken from the nearest weather station database (Table. 6). The data related to design conditions based on the dry-bulb temperature and the Mean Coincident Wet Bulb (MCWB) temperature are shown in Table 7. Fig. 3 shows the average daily minimum and maximum temperatures on a monthly basis.Solar orientation study Solar radiation on building surfaces were investigated. The results indicated that block D (located on the eastern side of the site), with the most sunlight received during the day, had a better position compared to block C. The frequency distribution diagrams of total sky cover, direct normal radiation, diffuse horizontal radiation, and global horizontal radiation are shown in Fig. 4 based on annual data. Analysis the parameters affecting energy Fig. 5 for block D shows the highest energy cost in July. It is obvious that ventilation fans and space cooling have the highest share compared to other Table 5: Basic parameters of the building%u2019s energy modelInput parameter ValueHVAC system Residential 14 SEER/0.9 AFUE Split/Packaged Gaz < 5.5 tonArea per person 105.82 m2Sensible heat gain (per person) 73.27 WLatent heat gain (per person) 58.61 WPower load density 10.76 W/m2Lighting load density 10.76 W/m2Plenum lighting contribution 20%Occupancy schedule 24 HoursLighting schedule All DayPower schedule All DayOutdoor air (per person) 2.36 L/sOutdoor air (per area) 0.30 L/(s.m2)Unoccupied cooling set point 27.78 %u2103Infiltration (ac/h) NoneFabric U-valuesExternal walls 20cm concrete block (U-value 6.5 W/m2K)Internal walls 10cm concrete block (U-value 13 W/m2K)Shear walls 45cm reinforced concrete (U-value 2.3244 W/m2K)Floor 22.5cm concrete slab (U-value 4.6489 W/m2K)External doors Wooden, Single-Flush (U-value 2.1944 W/m2K)Terrace doors Wood frame with single clear glass (U-value 5.6212 W/m2K)Lobby doors Metal frame with single clear glass (U-value 6.5580 W/m2K)Elevator doors Metal (U-value 3.7021 W/m2K)Windows 1/8 in Pilkington single glazing (U-value 3.6886 W/m2K)Table 5: Basic parameters of the building%u2019s energy model