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Paper ID:IJSREM65454

BIM-Based Optimum Design and Energy Performance Assessment of Residential Buildings

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM65454

Volume:

10 |

6 |

Jun 2026

Pages:

1-5

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

Prof.K.H.Ghorpade

Prof.K.H.Ghorpade

Civil Engineering Department

KJEI’s Trinity Academy of Engineering Pune

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PA

Prof. A.C.Shirle

Civil Engineering Department

KJEI’s Trinity Academy of Engineering Pune

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PM

Priyanka M.Raghoji

Civil Engineering Department

KJEI’s Trinity Academy of Engineering Pune

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BR

Bhakti R.Bhoke

Civil Engineering Department

KJEI’s Trinity Academy of Engineering Pune

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AS

Aarti S.Nagargoje

Civil Engineering Department

KJEI’s Trinity Academy of Engineering Pune

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PR

Priyanka R.Kshirsagar

Civil Engineering Department

KJEI’s Trinity Academy of Engineering Pune

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Abstract

Rapid urbanization and rising energy demands have made energy-efficient residential building design essential for sustainable development. Since a major portion of building energy consumption occurs during the operational phase, assessing energy performance during the early design stage is crucial. This study presents a Building Information Modeling (BIM)-based approach for optimizing energy consumption in a 1,400 sq ft residential building located in Aundh, Pune, India. A detailed model was developed using Autodesk Revit, and various design alternatives were evaluated by considering parameters such as building orientation, wall materials, roof insulation, glazing systems, lighting efficiency, and HVAC configurations. BIM-integrated energy simulations enabled comparison of different design options and identification of optimal solutions. The baseline building consumed 16,300 kWh/year (125.2 kWh/m²/year) with an annual energy cost of ₹1,38,550. By adopting AAC block walls, improved roof insulation, low-emissivity glazing, and enhanced daylight utilization, annual energy consumption was reduced to 9,246 kWh/year (71.0 kWh/m²/year), achieving a 43.3% reduction. The additional investment of ₹1,53,260 yielded a payback period of 2.55 years and a 30-year net present value of ₹16,45,510, demonstrating BIM’s effectiveness in supporting sustainable and energy-efficient residential design.

KEYWORDS

Building Information Modeling Energy Simulation Thermal Performance Sustainable Design Lifecycle Analysis Revit Autodesk Insight 360 Residential Buildings Tropical Climate Energy Efficiency

Cite This Article

Prof.K.H.Ghorpade, Prof. A.C.Shirle, Priyanka M.Raghoji, Bhakti R.Bhoke, Aarti S.Nagargoje, Priyanka R.Kshirsagar, "BIM-Based Optimum Design and Energy Performance Assessment of Residential Buildings," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 6, pp. 1-5, Jun 2026.

Full Article/Conclusion

ThisBIMbasedstudyconclusivelydemonstratesthatsystematicoptimizationofbuildingmaterialsand designparameters,groundedindetailedenergysimulationandlifecycleanalysis,candeliversubstantial energy, economic, and environmental benefits for residential construction in tropical Indian climates.The 43.3% energy reduction achieved, coupled with a 2.55-year payback period, establishes energy-efficient design not merely as an environmental aspiration but as a pragmatic economic decision for residential property owners and developers. The research validates Building Information Modeling as an essential tool for modern sustainable design practice, enabling data-driven decision-making at critical early designstages.The integration of BIM with energy performance analysisshifts thedesign paradigm from "how to minimize first costs" to "how to optimize lifecycle fundamental reorientationessentialforachievingIndia'ssustainabledevelopmentandclimateactiongoals

References

S. Azhar, “Building Information Modeling (BIM): Trends, benefits, risks, and challenges forthe AEC industry,”Leadership and Managementin Engineering, vol. 11, no. 3, pp. 241–252, 2011.   2.  N.AmaniandA.A.RezaSoroush,“Buildingenergymanagementusingbuilding information modeling: Evaluation of building components and construction materials,”JournalofRenewableEnergyandEnvironment,vol.8,no.2,pp.31–38, 2021.   3.  P.JadhavandP.Minde,“BIM-basedenergyconsumptionanalysisforresidential buildings: effects of orientation, size, and type of windows,” Discover Civil Engineering, vol. 1, no. 110, 2024.   4.  A. A. R. Soroush and N. Amani, “BIM-based optimum design and energy performance assessment of residential buildings,” Journal of Energy Management and Technology, vol. 5, no. 2, pp. 64–72, 2020.   5.  D. Bryde, M. Broquetas, and J. M. Volm, “The project benefits of Building Information Modelling (BIM),” International Journal of Project Management, vol. 31, no. 7, pp. 971–980, 2013   6.  N. Amani and A. A. Reza Soroush, "Effective energy consumption parameters in residential buildings using Building Information Modeling," Global J. Environ. Sci.Manage.,vol. 6, no. 4,pp. 467-480, Autumn 2020 7.  S. El Sayary and O. Omar, "Designing a BIM energy-consumption template to calculate andachieveanet-zero-energyhouse,"SolarEnergy,vol.216,pp. 315-320, 2021. 8.  H.Yao,"TheApplicationofBIMTechnologyinEnergy-SavingDesignofLow-Energy-Consumption Green Buildings," in 2025 International Conference on SmartCityandSustainableDevelopment(SCSD2025),Xi'an,China,Apr.11-13, 2025, pp. 283–287   9.  M. S. Yuvaraj, S. Nurulla, D. V. Purushotham, A. Y. Krishna, V. K. Sai, B. L. Babu,andP.Azaruddin,"BuildingEnergyOptimizationusingBIM:AStudyon Institutional Building," Int. J. Res. Appl. Sci. Eng. Technol., vol. 12, no. V, pp. 3061–3066, May 2024.   10. L. Tao, L. Zou, and Z. Gao, "Application research of deep learning-based BIM Technology in Intelligent Construction," Int. J. Low-Carbon Technol., vol. 19,pp. 2249–2257, 2024

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Publication Date

6/25/2026

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