Skip to main content

BIM and CFD Based Simulation Approach in Reducing Thermal Energy Demands of a Residential Building: A Case Study in Bangladesh

  • Conference paper
  • First Online:
Proceedings of the 6th International Conference on Advances in Civil Engineering (ICACE 2022)

Part of the book series: Lecture Notes in Civil Engineering ((LNCE,volume 368))

Included in the following conference series:

  • 73 Accesses

Abstract

With rising energy demands and impending climate crises driven by high energy consumption, household energy demand reduction is becoming vital for resilient development. This paper demonstrates how building information modeling (BIM) based thermal demand simulation, and computational fluid dynamics (CFD) analysis can help in sustainable building design decisions. Especially regarding selecting the sets of construction materials and components that help reduce building cooling energy demand while considering natural wind flow. Thus, the designers can forecast occupant thermal satisfaction utilizing a bioclimatic chart. The fourth level of a typical five-story residential building in Bangladesh was selected as the case study since residential building types are responsible for a significant percentage of national electricity demands, especially in the month of June. The case study building was replicated on Autodesk Revit. The energy analysis was done using BIM-centric cooling loads calculations based on building location, design characteristics, and material properties. Autodesk CFD software was used for ventilation simulation. Then material modifications with two alternative designs were conducted in the BIM model to produce different cooling load demands. These results are then compared with the initial design that uses conventionally used materials. The study examines the various building envelope materials designs, the different building components, and their individual leverage in reducing thermal energy demands. This will help orient further research toward selecting materials and building components with the most potential for thermal energy management while considering natural ventilation potential—especially regarding Bangladeshi climatic conditions.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. International Energy Agency (2021) Buildings: a source of enormous untapped efficiency potential. https://www.iea.org/topics/buildings

  2. Comstock M, Garrigan C, Pouffary S, Feraudy TD, Halcomb J, Hartke J (2012) Building design and construction: forging resource efficiency and sustainable development. United National Environmental Program (UNEP) 1

    Google Scholar 

  3. CBECS 2012: Energy Usage Summary. https://www.eia.gov/consumption/commercial/reports/2012/energyusage/. Accessed 20 May 2022

  4. Chen Z, Jiang C, Xie L (2018) Building occupancy estimation and detection: a review. Energy Build 169:260–270. https://doi.org/10.1016/j.enbuild.2018.03.084

    Article  Google Scholar 

  5. Østergård T, Jensen RL, Maagaard SE (2016) Building simulations supporting decision making in early design—a review. Renew Sustain Energy Rev 61:187–201

    Article  Google Scholar 

  6. Ilter D, Ergen E (2015) BIM for building refurbishment and maintenance: current status and research directions. Struct Surv 33:228–256. https://doi.org/10.1108/SS-02-2015-0008

    Article  Google Scholar 

  7. El-Diraby T, Krijnen T, Papagelis M (2017) BIM-based collaborative design and socio-technical analytics of green buildings. Autom Constr 82:59–74. https://doi.org/10.1016/j.autcon.2017.06.004

    Article  Google Scholar 

  8. Zhao X (2017) A scientometric review of global BIM research: analysis and visualization. Autom Constr 80:37–47. https://doi.org/10.1016/j.autcon.2017.04.002

    Article  Google Scholar 

  9. Liu J, Xu D, Hyyppä J, Liang Y (2021) A survey of applications with combined BIM and 3D Laser scanning in the life cycle of buildings. IEEE J Sel Topics Appl Earth Obs Remote Sens 14:5627–5637. https://doi.org/10.1109/JSTARS.2021.3068796

    Article  Google Scholar 

  10. Tian Z, Zhang X, Jin X, Zhou X, Si B, Shi X (2018) Towards adoption of building energy simulation and optimization for passive building design: a survey and a review. Energy Build 158:1306–1316

    Article  Google Scholar 

  11. Bruno R, Bevilacqua P, Cuconati T, Arcuri N (2019) Energy evaluations of an innovative multi-storey wooden near zero energy building designed for Mediterranean areas. Appl Energy 238:929–941. https://doi.org/10.1016/j.apenergy.2018.12.035

    Article  Google Scholar 

  12. Albatayneh A, Alterman D, Page A, Moghtaderi B (2020) Alternative method to the replication of wind effects into the buildings thermal simulation. Buildings 10:237

    Article  Google Scholar 

  13. Shadram F, Johansson TD, Lu W, Schade J, Olofsson T (2016) An integrated BIM-based framework for minimizing embodied energy during building design. Energy Build 128:592–604. https://doi.org/10.1016/j.enbuild.2016.07.007

    Article  Google Scholar 

  14. Gan VJL, Deng M, Tse KT, Chan CM, Lo IMC, Cheng JCP (2018) Holistic BIM framework for sustainable low carbon design of high-rise buildings. J Clean Prod 195:1091–1104. https://doi.org/10.1016/j.jclepro.2018.05.272

    Article  Google Scholar 

  15. De Dear RJ, Brager GS (2002) Thermal comfort in naturally ventilated buildings: revisions to ASHRAE Standard 55. Energy Build 34:549–561

    Article  Google Scholar 

  16. Yik FW, Lun YF (2010) Energy saving by utilizing natural ventilation in public housing in Hong Kong. Indoor Built Environ 19:73–87

    Article  Google Scholar 

  17. Emmerich SJ, Dols WS, Axley JW (2001) Natural ventilation review and plan for design and analysis tools. US Department of Commerce, Technology Administration, National Institute of Standards and Technology

    Google Scholar 

  18. You W, Qin M, Ding W (2013) Improving building facade design using integrated simulation of daylighting, thermal performance and natural ventilation. Springer, pp 269–282

    Google Scholar 

  19. Porras-Amores C, Mazarrón FR, Cañas I, Sáez PV (2019) Natural ventilation analysis in an underground construction: CFD simulation and experimental validation. Tunn Undergr Space Technol 90:162–173

    Article  Google Scholar 

  20. Albuquerque DP, Mateus N, Avantaggiato M, da Graça GC (2020) Full-scale measurement and validated simulation of cooling load reduction due to nighttime natural ventilation of a large atrium. Energy Build 224:110233

    Article  Google Scholar 

  21. Hawendi S, Gao S (2017) Impact of an external boundary wall on indoor flow field and natural cross-ventilation in an isolated family house using numerical simulations. J Build Eng 10:109–123

    Article  Google Scholar 

  22. Ferrucci M, Brocato M (2019) Parametric analysis of the wind-driven ventilation potential of buildings with rectangular layout. Build Serv Eng Res Technol 40:109–128

    Article  Google Scholar 

  23. De Faria L, Cook M, Loveday D, Angelopoulos C, Manu S, Shukla Y (2018) Sizing natural ventilation systems for cooling: the potential of NV systems to deliver thermal comfort while reducing energy demands of multi-storey residential buildings in India

    Google Scholar 

  24. Gan VJ, Deng M, Tan Y, Chen W, Cheng JC (2019) BIM-based framework to analyze the effect of natural ventilation on thermal comfort and energy performance in buildings. Energy Procedia 158:3319–3324

    Article  Google Scholar 

  25. Olgyay V, Frontado J (1998) Arquitectura y clima: manual de diseño bioclimático para arquitectos y urbanistas. Gustavo Gili Barcelona

    Google Scholar 

  26. Matsumoto H, Tsuzuki K, Susanti L (2017) Bioclimatic analysis in pre-design stage of passive house in Indonesia. Buildings 7:24

    Google Scholar 

  27. Pontes RH, Najjar MK, Hammad AW, Vazquez E, Haddad A (2022) Adapting the Olgyay bioclimatic chart to assess local thermal comfort levels in urban regions. Clean Technol Environ Policy 24:661–675

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to S. A. Islam .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Islam, S.A., Hassan, M.T., Awall, M.R. (2024). BIM and CFD Based Simulation Approach in Reducing Thermal Energy Demands of a Residential Building: A Case Study in Bangladesh. In: Arthur, S., Saitoh, M., Hoque, A. (eds) Proceedings of the 6th International Conference on Advances in Civil Engineering. ICACE 2022. Lecture Notes in Civil Engineering, vol 368. Springer, Singapore. https://doi.org/10.1007/978-981-99-3826-1_25

Download citation

  • DOI: https://doi.org/10.1007/978-981-99-3826-1_25

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-3825-4

  • Online ISBN: 978-981-99-3826-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics