Journal of the Architectural Institute of Korea Planning & Design (대한건축학회논문집:계획계)

Architectural Institute of Korea (대한건축학회)
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Issues and limitations in BIM to BEM for Energy Simulation

BIM 기반 건물 에너지 해석 자동화의 문제 및 고려사항

  • 최준우 (성균관대 미래도시융합공학과 대학원) ;
  • 박철수 (성균관대 건축토목공학부)
  • Received : 2015.09.30
  • Accepted : 2016.02.15
  • Published : 2016.02.29
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Abstract

Recently, BIM based energy simulation has been highlighted due to expectancy for efficient reuse and sharing of building information. The BIM based energy simulation is based on a belief that an automatic conversion of BIM to a BEM (Building Energy Model) can be seamless and such conversion would be much more efficient than a manual conversion. This paper aims to investigate whether the aforementioned belief is valid or not. In this study, four people were asked to develop a BIM model for a given small office building. Then, four BIM files were exported from a BIM authoring tool (Revit) to gbXML files. The gbXML files are then converted to EnergyPlus input files ($^*$.idf) by OpenStudio. Four Revit files, four gbXML files and four idf files as well as EnergyPlus simulation results were cross-compared. It has been concluded in the paper that currently, seamless conversion from BIM to BEM is not realistic and expert's judgment and intervention is indispensable.

Keywords

Acknowledgement

Supported by : 국토교통부

References

  1. ASHRAE. (2013a). ASHRAE Handbook1 Fundamentals 2013. Atlanta, American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc.
  2. ASHRAE. (2013b). ASHRAE Standard 90.1-2013. Atlanta, American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc.
  3. Augenbroe, G., & Hensen, J. (2004). Simulation for better building design, Building and Environment, 38, 875-877.
  4. Augenbroe, G., & Malkawi, A. (2004). Advanced Building Simulation. Taylor & Francis e-Library, Spon Press.
  5. Bazjanac, V. (2008). IFC BIM-Based Methodology for Semi-Automated Building Energy Performance Simulation, CIB-W78 25th International Conference on Information Technology in Construction, 163-168.
  6. Behrman, W. (2002). Best practices for the development and use of XML data interchange standards. Center for Integrated Facility Engineering Technical Report, 131, 27.
  7. Dong, B., Lam, K., Huang, Y., & Dobbs, G. (2007). A comparative study of the IFC and gbXML informational infrastructures for data exchange in computational design support environments, Building Simulation, 1530-1537.
  8. Dong, B., O'Neill, Z., & Li, Z. (2014). A BIM-enabled information infrastructure for building energy Fault Detection and Diagnostics. Automation in Construction, 44, 197-211. https://doi.org/10.1016/j.autcon.2014.04.007
  9. Eastman, C., Lee, J., Jeong, Y., & Lee, J. (2009). Automatic Rule-Based Checking of Building Design, Automation In Construction, 18(8), 1011-1033. https://doi.org/10.1016/j.autcon.2009.07.002
  10. Hand, J. (1998). Removing barriers to the use of simulation in the building design professions (Doctoral dissertation, University of Strathclyde).
  11. IBPSA (1999-2015), www.ibpsa.org, Proceedings of IBPSA (International Building Performance Simulation Association).
  12. Kim, J., Jeong, W., Clayton, N., Haberl, J., & Yan, W. (2015a). Developing a physical BIM library for building thermal energy simulation, Automation in Construction, 50, 16-28. https://doi.org/10.1016/j.autcon.2014.10.011
  13. Kim, Y., Yi, D., & Park, C. (2015b). Interface from BIM to BEM and its Application to Uncertainty Analysis in Windows, Journal of the Architectural Institute of Korea, 31(7), 135-146.
  14. LBNL. (2014). Simergy - a graphical user interface for EnergyPlus, Public Interest Energy Research (PIER) Program final project report. Retrieved August. 10, 2015 from http://simulationresearch.lbl.gov/projects/gui
  15. Mahdavi, A., Bachinger, J., & Suter, G. (2005). Toward a unified information space for the specification of building performance simulation results, Building simulation, 5, 671-676.
  16. Maile, T., O'Donnell, J., Bazjanac, V., & Rose, C. (2013). BIM-Geometry Modelling Guidelines for Building Energy Performance Simulation. Building Simulation Conference 2013.
  17. Negendahl, K. (2015). Building performance simulation in the early design stage: An introduction to integrated dynamic models. Automation in Construction, 54, 39-53. https://doi.org/10.1016/j.autcon.2015.03.002
  18. Reeves, T., Olbina, S., & Issa, R. (2012). Validation of building energy modeling tools: $Ecotect^{TM},\;Green\;Building\;Studio^{TM}\;and\;IES^{TM}$, WSC'12 Proceedings of the Winter Simulation Conference, 52, 582-593.
  19. Soebarto, V. (2005). Teaching simulation programs in architecture schools: lessons learned. Building simulation, 1147-1154.
  20. U.K. NCM. (2014). National Calculation Methodology (NCM) modelling guide, http://www.ncm.bre.co.uk/.
  21. U.S. General Services Adminstration. (2015). GSA Building Information Modelling (BIM) Guide for energy performance, Retrieved August. 10, 2015 from http://www.gsa.gov/bim
  22. Yoon, Y., & Lee, K. (2014). The annual energy simulation software - EnergyPlus, The Society Of Air-Conditioning And Refrigerating Engineers Of Korea, 4(9), 30-37.