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

Architectural Institute of Korea (대한건축학회)
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Development of Interface for BIM based Building Energy Simulation

BIM 에너지 시뮬레이션 인터페이스 개발과 검증

  • Received : 2012.03.01
  • Published : 2012.05.25
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Abstract

BIM(Building Information Model) enables information sharing and reuse for interoperability between prevalent software tools in the AEC(Architecture, Engineering, and Construction) industry. Although a BIM based energy simulation tool can reduce costs and time required for the simulation work, no practical interface between CAD softwares and dynamic energy analysis tools has been developed so far. With this in mind, this paper suggests two approaches (Full Automated Interface and Semi Automated Interface) enabling information transition from CAD tools (e.g., IFC) to EnergyPlus input file, IDF. FAI, if ideally developed, can convert IFC to IDF based on the use of pre-defined defaults without requiring human intervention. In contrast, SAI converts geometry information only out of IFC to IDF and then require human data entry for uncertain simulation inputs. For this study, a library building was chosen and space boundary generated from ArchiCAD 13 was employed for geometry mapping. The Morris method, one of sensitivity analysis methods, was used for identifying significant inputs. In FAI and SAI, dominant inputs, out of the Morris method, expresses were used for Monte Carlo simulation to quantify probablistic simulation outputs. In the paper, FAI and SAI simulation results are cross-compared, and pros and cons of FAI and SAI are discussed.

Keywords

Acknowledgement

Supported by : 한국연구재단

References

  1. K사 (2012), http://www.bac.co.kr/index.html, 검색일: 03/02/2012
  2. 박철수, 규범적 건물성능평가방법, 대한건축학회논문집 계획계 제 22권 11호, pp. 337-344, 2006
  3. ASHRAE (2004), 90.1 User's Manual ANSI/ASHRAE/IESNA Standard 90.1-2004, Atlanta, GA: America Society of Heating, Refrigerating and Air-Conditioning Engineers.
  4. ASHRAE (2009), ASHRAE Handbook Fundamentals, Atlanta, GA: America Society of Heaing Refrigerating and Air-Conditioning Engineers, Inc.
  5. Augenbroe, G. (1992), Integrated building performance evaluation in early design stages, Building and Environment, 27(2), pp.149-161 https://doi.org/10.1016/0360-1323(92)90019-L
  6. Bazjanac, V. & Maile, T. (2004), IFC HVAC Interface to EnergyPlus - A case of expanded interoperability for energy simulation, Proceeding of the SimBuild 2004 Conference, August 4-6, Colorado, USA.
  7. Bazjanac, V. (2009), Implementation of semi-automated energy performance simulation: building geometry, Proceedings of the 26th CIM W78 Conference, Managing IT in Construction, 1-3 October, Istanbul.
  8. BuildingSMART (2012), http://www.buildingsmart.com, last reviewed: 03/02/2012
  9. de Wit, S. (2001), Uncertainty in prediction of thermal comfort in Buildings, Ph.D. thesis, Tu Delft Netherlands.
  10. de Wilde, P. and D. Prickett (2009), Preconditions for the use of simulation in M&E engineering, Proceedings of the 11th IBPSA Conference, 27-30 July, Glasgow, Scotland, pp. 414-419
  11. de Wit, S., and Augenbroe, G. (2002), Analysis of uncertainty in building design evaluations and its implications. Energy and Buildings Vol.34, pp.951-958 https://doi.org/10.1016/S0378-7788(02)00070-1
  12. Donn M. (1999), Quality assurance simulation and the real world, Proceedings of the 99th IBPSA Conference, 13-15 September, Kyoto, Japan, III, pp. 1211-1218
  13. Heiselberg, P. and Brohus, H., Application of sensitivity analysis in design of low energy office buildings, draft, Aalborg University, Denmark.
  14. Hietanen, J. (2006a), IFC Model View Definition Format, International Alliance for Interoperability.
  15. Hietanen, J. (2006b), Information delivery manual guide to components and development methods, BuildingSmart, Oslo, Norway.
  16. Hopefe (2009), Uncertainty and sensitivity analysis in building performance simulation for decision support and design optimization". PhD thesis, Technische Universiteit Eindhoven
  17. Inpro (2010), Open Information environment for Knowledge-based collaborative processes throught the lifecycle of a building, http://www.inpro-project.eu/main.asp
  18. ISO (1992), Product data representation and exchangepart 1; Oberview and Fundamental Principles, STEP Document ISO TC184/SC4/PMAG.
  19. Karola A., Lahtelaa H., Hanninena R., Hitchcock R., Chenc Q., Dajkad S. and Hagstrom K. (2001), BSPro COM-Sever interoperability between software tools using industry foundation classes, Proceeding of the 7th IBPSA Conference, 13-15 August, Rio de Janeiro, Brazil, pp. 747-754
  20. MacDonald, I.A. (2002), Quantifying the effects of uncertainty in building simulation, Ph.D. thesis, University of Strathclyde, Scotland.
  21. Mahdavi, A., Mathew, P., Kumar, S. and Wong N. H. (1997), Bi-directional computational design support in the SEMPER environment, Automation in Construction, 6, pp. 353-373 https://doi.org/10.1016/S0926-5805(97)00050-2
  22. Maile, T., Fischer, M., and Bazjanac, V. (2007), Building energy performance simulation tools: a life-cycle and interoperable perspective, Stanford, California: Center for Integrated Facility Engineering.
  23. Malkawi, A. and Augenbroe, G. (2003), Advanced Building Simulation, London, UK: Spon Press
  24. O'Donnell, J., See, R., Rose, C., Maile, T., Bazjanac, V. and Haves, P. (2011), SIMMODEL: A domain data model for whole building energy simulation, Proceedings of the 12th IBPSA Conference, 14-16 November, Sydney, Australia.
  25. OGC (2009), The OGC AECOO-1 Testbed, http://www.opengeospatial.org/projects/initiatives/aecoo-1
  26. Satelli, A., Tarantola, S., Campolongo, F., and Ratto, M. (2004), Sensitivity Analysis in Practice, Wiley & Sons Ltd, The Atrium, Southern Gate, Chichester, West Sussex PO198SQ, England.
  27. See, R., Haves, P., Sreekanthan, P., O'Donnell, J., Basarkar, M. and Settlemyre, K. (2011), Development of a user interface for the EnergyPlus whole building energy simulation program, Proceedings of the 12th IBPSA Conference, 14-16 November, Sydney, Australia.
  28. Treldal N. (2009), Integrated Data and Process Control During BIM Design - Focused on Integrated Design of Energy and Indoor Climate Conditions, Master's Thesis, Technical University of Denmark, Denmark.
  29. United States General Services Administration(GSA) (2009), GSA Building Information Modeling Guide Series, 05-GSA BIM Guide for Energy Performance.
  30. Weise, M., Liebich T., See R., Bazjanac, V., Rose, C., O'Donnell, J., Maile, T. and Laine, T. (2010), Implementation Guide: Space Boundaries for Energy Analysis. Draft. Public ation pending.