Modeling And Energy Analysis of An Educational Building by Autodesk Insight and Green Building Studio
Buildings consume substantial energy throughout their life cycle, contributing significantly to global warming and environmental degradation. To address this challenge, early-stage energy performance assessment is critical. This study applies a BIM-based energy modeling methodology to predict and an...
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| Main Authors: | , |
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| Format: | Article |
| Language: | en en |
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INTI International University
2026
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| Subjects: | |
| Online Access: | http://eprints.intimal.edu.my/2294/2/846 http://eprints.intimal.edu.my/2294/3/ij2026_04.pdf http://eprints.intimal.edu.my/2294/ https://intijournal.intimal.edu.my |
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| Summary: | Buildings consume substantial energy throughout their life cycle, contributing significantly to global warming and environmental degradation. To address this challenge, early-stage energy performance assessment is critical. This study applies a BIM-based energy modeling methodology to predict and analyze the energy performance of a multi-storied educational (library) building located in Gulshan-2, Dhaka, Bangladesh, with a total floor area of approximately 8,830 m². The research methodology integrates Autodesk Revit 2021 for building modeling and Autodesk Insight, a cloud-based energy analysis tool, to evaluate electricity, fuel, and water consumption at the conceptual design stage. The results indicate a total Energy Use Intensity (EUI) of 94.8 kWh/m²/year and a mean annual energy cost of 7.06 USD/m²/year. Detailed parametric analysis reveals that HVAC systems (18.03 kWh/m²/year), plug load efficiency (38.21 kWh/m²/year), and lighting efficiency (38.57 kWh/m²/year) are the dominant contributors to overall energy consumption. Envelope-related parameters such as window-to-wall ratio, shading, glazing, wall construction, and roof construction exhibit comparatively lower but measurable impacts, with orientation-specific variations across the north, south, east, and west facades. The significance of this study lies in demonstrating the effectiveness of BIM-based energy analysis for early-stage decision-making in tropical climates. The findings provide quantitative insights into key energy drivers and highlight priority areas for optimization, enabling designers and policymakers to implement cost-effective and climate-responsive energy strategies. This approach supports sustainable educational building design in rapidly urbanizing contexts such as Bangladesh |
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