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Research Article Journal of Energy Management and Technology (JEMT) Vol. 5, Issue 2 66of energy cost as well as considering the items such as projectlocation, site scope, building height, facilities, and project cost,the main form of the building was chosen for accurate modelingand energy analysis. Table 1 shows the comparison of differentbuilding forms.The results of this analysis show that module-1 has thelowest energy consumption, among other modules. The costof energy consumption based on Table 2 parameters is 13.4USD/m2/year. Accordingly, the energy use intensity is equalto 110 kWh/m2/year, as shown in Table 1. The building orientation, in this case, is based on the geographical north. Thus,the angle of the building is automatically determined by thesoftware, based on the building form and the project geographiccoordinates. The window to wall ratio in all directions is 40%by default. All windows have shades with a depth of 45.72cm. Also, the type of windows in the conceptual model wasdouble-glazed windows without any external coating. The wallsstructure used in the conceptual model is lightweight wallswith typical mild climate insulation, and the roof structure islightweight and without insulation. As shown in Table 2, according to the BIM parameter were adjusted the values of buildinginfiltration rate, lighting efficiency, plug load efficiency, operating schedule, and building%u2019s HVAC system. This building hasno daylighting and occupancy controls system and photovoltaicsolar panels. After adjusting the parameters affecting energyconsumption, according to Table 2, the energy cost would be 6.56USD/m2/year. Accordingly, the energy use intensity would beequal to 81.6 kWh/m2/year. The building orientation relative tothe previous model (initial model) isn%u2019t changed and based onthe geographical north. The windows ratio to the northern andsouthern walls is 40% by default. These windows have shadesas high as 2/3 of the window height. Also, the type of these windows in the conceptual model was triple-glazed windows withlow emission. Due to the lack of significant efficiency have beenremoved the eastern and western windows from the conceptualmodel. The walls structure in the conceptual model is accordingto Table 2, and the roof structure is lightweight and withoutinsulation. The building infiltration rate was considered 0.17ACH. The value of the lighting efficiency is assumed to be 3.23W/m2. The values of the plug load efficiency and the operatingschedule were adjusted according to the BIM parameter. Thebuilding%u2019s HVAC system was assumed to be a high-efficiencyvariable air volume system. Also, the building has a daylightingand occupancy control system. Finally, to achieve the highestlevel of energy efficiency were used the photovoltaic solar panels. For this purpose, the photovoltaic solar panels were usedwith a yield of 18.6% and surface coverage of 90%. The paybacklimit of these panels was assigned for 30 years. The results ofthis analysis show that the use of building information modeling technology for adjusting the parameters affecting energyconsumption in conceptual designs can save up to 51.04% inenergy cost. Based on the energy use intensity, this value wouldbe 25.82%.C. Baseline Energy Model SpecificationsThe building energy model requires a set of parameters depending on analysis tools and specific studies. Table 3 shows thebasic parameters of the building energy model as the basis ofdesign. These parameters include materials with thermal properties, building occupancy, plug loads, HVAC, building naturalinfiltration rate, lighting density and efficiency, internal heatgains (plug loads and occupancy), operating schedules, thermostat set-point temperatures, and natural ventilation. TheseFig. 2. Creating the energy model using building elements inAutodesk Revit software.parameters are specified by the BIM title in the provided data.Table 3. Basic parameters of building 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 %u25e6CInfiltration (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)3. BUILDING ENERGY SIMULATION AND DATA ANALYSISA. BIM Data Export ProcessAfter modeling and adjusting the parameters required in Autodesk Revit software (Table 3), was created an energy modelusing the analyze tab (Fig.2). Then, an Autodesk account wasused to send the energy model and receive the data analysisresults. It should be noted that by sending the energy modelthrough Autodesk Revit software to Autodesk Insight software,simultaneously, an energy model will be sent to Autodesk GreenBuilding Studio software.B. Climate AnalysisAfter sending the energy model, the climate data, as the first element of the environment in which the building is located, wereautomatically taken from the nearest weather station database.