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470Effective energy consumption parametersminimum hardware resources of the system and provide a very high speed of energy analysis in cloud computing. Fig. 1 shows the 3D view of the building case study in Autodesk Revit software.RESULTS AND DISSCUSSIONThe building case study is a residential complex located in a mild climate zone. The building area is about 101,000 m2 located in Bandar Anzali, Gilan Province, Iran (37%u00b028%u201939.5%u201dN, 49%u00b025%u201911.8%u201dE). The main reason for choosing this building is to study of the form and orientation of the building and the cost changes caused by changing the effective parameters with the aim of optimizing energy consumption using BIM technology. First, three conceptual masses were created to examine various design ideas in the Autodesk Revit software (a top-down design approach). Then, floors, type of materials Fig. 1: The 3D view of the simulated building in Autodesk Revit softwareFig. 1: The 3D view of the simulated building in Autodesk Revit softwareTable 2: Comparison of different building forms based on simulation of energy consumption in conceptual massesModule-1 Module-2 Module-3Floors 22 43 43Units 548 560 561Height (m) 81.70 159.40 159.40Building Form Energy cost Saving Energy use intensity SavingUSD/m2/y Percent kWh/m2/y PercentModule-1BIM parameters 14 0 113 0Optimize parameters 5.96 57.43 80.40 28.85Module-2 BIM parameters 14.80 0 121 0Optimize parameters 7.69 48.04 97.60 19.34Module-3 BIM parameters 14.30 0 117 0Optimize parameters 7.18 49.79 88.80 24.10Table 2: Comparison of different building forms based on simulation of energy consumption in conceptual masses

