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Research Article Journal of Energy Management and Technology (JEMT) Vol. 5, Issue 2 65tion, emission of pollutants, and waste disposal throughoutconstruction, maintenance, and demolition [7, 8]. Furthermore,the impact of energy consumption is significant in the buildingusage phases, which can last multiple decades [9]. Therefore,it%u2019s essential to analyze building energy performance when themost critical decisions are made (especially the design phase)[6]. The building energy performance analysis requires accessto specific information such as properties of materials, U-value,and technical systems during the initial phase of design. Thisinformation is one of the factors determining the energy performance of the building [10]. Building Information Modeling isa technology for improving productivity and efficiency in theconstruction industry by taking advantage of the informationgenerated throughout the facility life-cycle using a consistentsystem [6]. The best description for building information modeling is a data model, which is made by integrating 3D digitaltechniques with different methods of information related to aspecific engineering project [9]. One of the main benefits of BIMin both the initial phase of design and subsequent stages of analysis is building energy simulation [4]. This technology makesit possible to continuously measure energy performance for thewhole life cycle of a building [11]. Building energy simulationprograms can be used effectively in the initial phases of design toevaluate %u201cwhat-if%u201d scenarios in the search for optimal solutions[12]. These programs can provide useful insights into changesthat can improve energy performance. The parametric natureof BIM programs allows the suggested changes to the buildingenergy model to be quickly updated [4]. In Iran, a considerable amount of energy annually is consumed in the household,public, and commercial sectors. According to the latest existingdata, the share of buildings%u2019 fuel consumption in 2016 was 34%of the total energy consumption [13]. The limitation of energyresources and the significant growth of using them comparedwith the worldwide average have doubled the necessity of optimizing energy consumption in Iran. Due to the high share ofenergy consumption in the building sector, accurate analysis ofthermal and cooling loads of the building and efforts to reduceenergy losses is an effective way to reduce energy consumption.Building information modeling provides the capacity to generate and manage all the information about a building during itslife cycle, which will be used in energy performance assessment[6]. Many types of research have been done on the main potential and value-added as a result of BIM adoption to achieveenergy efficiency in the energy sector [9, 14%u201328]. However, in theoptimum design and energy performance assessment based onBIM, there has not been much-focused research using simulation and analysis. Looking at the previous studies can be foundthat there are not any researches to study energy performanceassessment through the simultaneous evaluation of buildingcomponents using BIM technology with a conceptual designapproach, comparison, and reduction of energy consumption.These components include building orientation, window-to-wallratio (WWR), window shades, window glass, wall construction,roof construction, infiltration, lighting efficiency, daylightingand occupancy controls, plug load efficiency, HVAC, operatingschedule, photovoltaic panels efficiency, payback limit of photovoltaic modules, and surface coverage of photovoltaic modules.This research achieved the lowest level of energy consumptionin the studied building by examining the simultaneous combination of building components and showed that the use ofbuilding information modeling technology in evaluating energyperformance could significantly reduce energy consumption inthe life cycle of the building.Fig. 1. The 3D view of the simulated building in AutodeskRevit software.2. METHODOLOGYA. Software SelectionAutodesk Revit 2020 was chosen to create a building information model for several reasons. One, Autodesk Revit providesvarious strategies for model creation using either a bottom-upor top-down design approach. Two, using the Autodesk Insightplugin, it%u2019s also possible to perform energy analysis in AutodeskRevit software. Three, support of building data output in standard formats such as IFC and gbXML, which makes it possibleto perform energy analysis by other energy analyzer software.To perform energy analysis in this study was used related toolsin the energy field. This tool was chosen because of its ability toquickly create an energy model and visualization in the initialphase of design. Moreover, Autodesk Green Building Studio(GBS) software was used to obtain the results of climate dataanalysis and building energy consumption index. Also, this software was used to validate the results of energy analysis. Thus,by sending the energy model to the Autodesk Insight software, afile will be sent to the Autodesk Green Building Studio softwaresimultaneously. Using an Autodesk account provides the abilityto review energy analysis. It should be noted that both AutodeskGreen Building Studio software and Autodesk Insight softwareare flexible cloud-based services that allow for simulation ofbuilding performance to optimize energy efficiency. In additionto the reasons mentioned for choosing the software, it can usethe minimum hardware resources of the system and provide avery high speed of energy analysis in cloud computing. Fig.1shows the 3D view of the building case study in Autodesk Revitsoftware.B. Case StudyThis case study is a residential building located in a regionwith a mild climate. The building area is about 191000 m2,located in Anzali trade-industrial free zone, Gilan province, Iran(37%u00b027%u201914.7\building were to study the form and orientation of the buildingand the cost changes caused by changing the effective parameters to optimize energy consumption using Building InformationModeling technology. To examine different design ideas werecreated several conceptual masses in Autodesk Revit softwarewith a top-down design approach. Then, the floors and typesof materials and energy settings were defined for each mass. Finally, after generating the energy model and sending the relatedfile to the Autodesk cloud services were received the results ofenergy analysis. After reviewing the proposed designs in terms