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Research Article Journal of Energy Management and Technology (JEMT) Vol. 5, Issue 2 64BIM-based optimum design and energy performanceassessment of residential buildingsABDUL AMIR REZA SOROUSH1 AND NIMA AMANI1, *1Department of Civil Engineering, Chalous Branch, Islamic Azad University, Chaolus, Iran*Corresponding author: nimaamani@iauc.ac.irManuscript received 03 July, 2020; revised 09 September, 2020; accepted 11 October, 2020. Paper no. JEMT-2006-1244.Buildings are the largest energy consumer in the world, according to the United Nations Environment Program. Most of the energy will be used during the building life-cycle stage. Thus, achieving sustainabledevelopment at the national level requires minimizing the impact of buildings on the environment byreducing energy consumption. Using Building Information Modeling technology in energy performanceassessment could be significantly reduced time and cost. This study aimed to optimize energy consumption in a residential building using BIM technology. The main focus of this study was to evaluate energyperformance through the simultaneous evaluation of building components using BIM technology with aconceptual design approach, comparison, and reduction of energy consumption. To investigate differentdesign ideas were created several conceptual masses in Autodesk Revit software with a top-down design approach. After reviewing the conceptual masses, the main building form was chosen for modeling.Then, building energy consumption was computed using related tools in this field, based on the type ofmaterials, equipment, and project location. Finally, the most optimal mode was selected by examiningdifferent energy consumption forms. The results of parametric studies on alternative schemes of energyoptimization showed that 58.46% of energy cost savings could be achieved compared to the initial modelof the building on a 30-year time horizon. %u00a9 2020 Journal of Energy Management and Technologykeywords: Energy consumption, Energy performance assessment (EPA), Energy simulation, Building energy efficiency, BuildingInformation Modeling (BIM).http://dx.doi.org/10.22109/jemt.2020.236318.1244NOMENCLATUREAbbreviationsACH Air Changes per HourAFUE Annual Fuel Utilization EfficiencyBIM Building Information ModelingClr ClearEff EfficiencyHVAC Heating, Ventilation, and Air ConditioningLoE Low emissivityPV PhotovoltaicsR13+R10 Construction materialSEER Seasonal Energy Efficiency RatioSgl SingleTrp TripleVAV Variable Air VolumeWWR Window-to-Wall Ratio1. INTRODUCTIONIn 2019, U.S. residential and commercial buildings used morethan 39.2% of the nation%u2019s total energy and more than 71.1% ofthe electrical energy [1]. Emerging technologies are helping toreduce the energy use intensity by enabling cost-effective andenergy-efficient technologies to be developed and introducedinto the marketplace. Some of these technologies include HVAC,water heating, and appliances, windows and building envelope,solid-state lighting, grid-interactive efficient buildings, sensorsand controls, and building energy modeling [2, 3]. Buildingenergy models are usually created separately from buildinginformation models, and energy analysis is done with a separate analysis tool [4, 5]. In the traditional way of evaluatingenergy performance, which designers manually simulate anenergy model, there are serious problems such as error-pronedata duplication, data leaks, and redundant data processing andstorage [6]. The building energy model can be generated morequickly by leveraging existing data from BIM, and the use ofmultiple analysis tools is more practical [4]. Buildings causeenvironmental pollution due to energy and resource consump-