Modeling And Energy Analysis of An Educational Building by Autodesk Insight and Green Building Studio
DOI:
https://doi.org/10.61453/INTIj.20260104Keywords:
BIM, Autodesk Revit, Autodesk Insight, Green Building StudioAbstract
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.
References
Ali, H. H., Al Nsairat, S. F., & Abu-Obeid, N. (2019). Energy efficiency in educational buildings in hot climates. Energy and Buildings, 199, 1–13. https://doi.org/10.1016/j.enbuild.2019.05.045
Andersen, R. V., Olesen, B. W., Toftum, J., & Larsen, T. S. (2013). Occupant behaviour and building performance. Energy and Buildings, 56, 8–17. https://doi.org/10.1016/j.enbuild.2012.11.004
Attia, S., Hensen, J. L. M., Beltran, L., & De Herde, A. (2012). Selection criteria for building performance simulation tools: Contrasting architects’ and engineers’ needs. Journal of Building Performance Simulation, 5(3), 155–169. https://doi.org/10.1080/19401493.2010.549573
Azhar, S., Carlton, W. A., Olsen, D., & Ahmad, I. (2011). Building information modeling for sustainable design and LEED® rating analysis. Automation in Construction, 20(2), 217–224. https://doi.org/10.1016/j.autcon.2010.09.019
Bouchie, R., Garde, F., & Thibault, G. (2012). ENERPOS: A net zero energy building in Reunion Island. Proceedings of PLEA 2012 - 28th Conference, Opportunities, Limits & Needs Towards an Environmentally Responsible Architecture.
Chen, Y., Hong, T., & Piette, M. A. (2018). Automatic generation and simulation of urban building energy models based on city datasets for city-scale building retrofit analysis. Applied Energy, 205, 323–335. https://doi.org/10.1016/j.apenergy.2017.07.128
Coakley, D., Raftery, P., & Keane, M. (2014). A review of methods to match building energy simulation models to measured data. Renewable and Sustainable Energy Reviews, 37, 123–141. https://doi.org/10.1016/j.rser.2014.05.007
Crawley, D. B., Lawrie, L. K., Winkelmann, F. C., Buhl, W. F., Huang, Y. J., Pedersen, C. O., … & Glazer, J. (2001). EnergyPlus: Creating a new-generation building energy simulation program. Energy and Buildings, 33(4), 319–331. https://doi.org/10.1016/S0378-7788(00)00114-6
Earthman, G. I. (2004). Prioritization of 31 criteria for school building adequacy. American Civil Liberties Union Foundation of Maryland.
Eisenhower, B., O’Neill, Z., Narayanan, S., Fonoberov, V. A., & Mezić, I. (2012). A methodology for meta-model based optimization in building energy models. Energy and Buildings, 47, 292–301. https://doi.org/10.1016/j.enbuild.2011.12.001
ENERPOS. (2022). ENERPOS: Energy positive building in Reunion Island. http://enerpos.reunion.fr
Ferrando, M., Causone, F., Hong, T., & Chen, Y. (2020). Urban building energy modeling (UBEM) tools: A state-of-the-art review. Advances in Applied Energy, 3, 100040. https://doi.org/10.1016/j.scs.2020.102408
Filippín, C., Flores Larsen, S., & Fernández, L. (2018). Energy consumption evaluation in educational buildings. Energy and Buildings, 159, 264–276. https://doi.org/10.1016/j.enbuild.2017.10.093
Fumo, N. (2014). A review on the basics of building energy estimation. Renewable and Sustainable Energy Reviews, 31, 53–60. https://doi.org/10.1016/j.rser.2013.11.040
Garde, F., Thibault, G., & Bouchie, R. (2010). Net zero energy buildings in tropical climates: Design and performance of the ENERPOS building in Reunion Island. Renewable Energy, 35(3), 646–655. https://doi.org/10.1016/j.renene.2009.08.007
Hamdy, M., Hasan, A., & Siren, K. (2013). A multi-stage optimization method for cost-optimal and nearly-zero-energy building solutions in line with the EPBD-recast 2010. Energy and Buildings, 56, 189–203. https://doi.org/10.1016/j.enbuild.2012.08.023
Hong, T., Chen, Y., Luo, X., & Luo, N. (2020). Ten questions on urban building energy modeling. Building and Environment, 168, 106508. https://doi.org/10.1016/j.buildenv.2019.106508
Hong, T., et al. (2015). Advances in building simulation. Energy and Buildings, 107, 409–419. https://doi.org/10.1016/j.enbuild.2015.08.036
Hopfe, C. J., & Hensen, J. L. M. (2011). Uncertainty analysis in building performance simulation for design support. Energy and Buildings, 43(10), 2798–2805. https://doi.org/10.1016/j.enbuild.2015.08.032
IEA. (2023). World Energy Outlook 2023. International Energy Agency.
IPCC. (2022). Climate Change 2022: Mitigation of Climate Change. Intergovernmental Panel on Climate Change.
Kats, G. (2006). Greening America’s Schools: Costs and Benefits. Capital E Report
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 INTI Journal
This work is licensed under a Creative Commons Attribution 4.0 International License.
