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

Architectural Institute of Korea (대한건축학회)
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Needs and Issues for Better Use of Building Energy Simulation Tools at Design Stage

설계 과정에서의 빌딩 에너지 시뮬레이션 도구 활용과 개선

  • 김덕우 (성균관대 건설환경시스템공학과) ;
  • 박철수 (성균관대 건축공학과)
  • Received : 2012.04.27
  • Published : 2012.10.25
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Abstract

Building simulation has enormously developed over the past three decades. Building simulation tools can describe mass and heat transfer phenomena in buildings with high accuracy. However, such tools are not widely and pervasively used in the design firm on daily basis. At most, the tools are being used for code check or green building accreditation, not being iteratively used throughout the whole building design process for better decision making. This paper reports three factors (external, internal, technical) to investigate the aforementioned issue. For this purpose, the authors utilized international literature and domestic surveys. The external factor includes tight schedule, limited budget and cost, overloaded and ill-informed staff, and lack of education and proper training. The internal factor includes differences in knowledge and praxis between designers and simulationists. The technical factor includes steep learning curves and user-unfriendly interface of simulation tools, language barrier in program manual, lack of modeling information and library suited for domestic circumstances. Finally, in the paper, it is elaborated what should be done for better use of building simulation tools in the design process.

Keywords

Acknowledgement

Supported by : 국토해양부

References

  1. 김덕우 (2012a), 온라인 설문조사 문항, https://docs.google.com/spreadsheet/viewform?formkey=dFFyM1Z0ZjJ0SlliSHdRZ0Z4aWVHWVE6MQ (accessed Mar. 2012)
  2. 김덕우 (2012b), 온라인 설문조사 결과, https://docs.google.com/spreadsheet/ccc?key=0AuppfKgv3UGNdFFyM1Z0ZjJ0SlliSHdRZ0Z4aWVHWVE#gid=0
  3. 박철수, 규범적 건물성능평가방법, 대한건축학회논문집 제 22권 11호, pp.337-344, 2006
  4. 백영균, 박주성, 한승록, 김정겸, 최명숙, 변호승, 박정환, 강신천, 김보경, 유비쿼터스 시대의 교육방법 및 교육공학, 3판, 학지사, 2010
  5. 서울특별시 주택본부 (2011), Building Energy Simulation for Seoul, http://spp.seoul.go.kr/main/pds/pds_material.jsp?search_boardId=272&act=VIEW&boardId=272(accessed Mar. 2012)
  6. 안기언, 박철수, 설계단계에서 동적 시뮬레이션 툴을 이용한 건물에너지 성능분석의 쟁점들, 한국건축친환경설비학회 춘계학술발표대회 논문집, pp.131-134, 2012
  7. 임재한, 정재원, 송승영, 여명석, 김광우, 건축물 에너효율등급 평가 전문가 자격제도 연구, 한국건축친환경설비학회논문집 5권 1호, pp.16-24, 2011
  8. 에너지관리공단, 건축물 에너지효율등급 인증제도 운영규정(개정), 2011년 4월 5일 시행, 2011
  9. 에너지관리공단 (2012), ECO2-OD, http://www.kemco.or.kr/building/v2/bbs.asp?bid=data&sk=&kc=0&kt=&ks=&pop=0&cp=1&act=view&bno=108 (accessed Mar. 2012)
  10. 피앤디소프트 (2010), CE3 (Construction Energy Efficiency Evaluation), http://www.kihoo.co.kr/front/ce3/aboutCe3.jsp(accessed Mar. 2012)
  11. Attia, S., Hensen, J.L.M., Beltránc, L. and Herde, A.D.(2012), Selection criteria for building performance simulation tools: contrasting architects' and engineers' needs, journal of building performance simulation, Vol.5, No.3, pp.155-169 https://doi.org/10.1080/19401493.2010.549573
  12. Augenbroe G. and Malkawi A. (2004), Advanced Building Simulation, Spon Press
  13. Choudhary, R., Augenbroe,G., Gentry, R. and Hu, H. (2008) Simulation-enhanced prototyping of an experimental solar house, Building Simulation, Vol.1, No.4, pp.336-355 https://doi.org/10.1007/s12273-008-8430-3
  14. Cooper, A. Reimann R, Cronin, D. (2007), About Face3: The Essentials of Interaction Design, Wiley; 3Rev Ed edition
  15. de Wilde P. and Prickett, D. (2009), Preconditions for the use of simulation in M&E engineering, 8th IBPSA conference, Glasgow, Scotland, July 27-30, pp.414-419
  16. De Wit, S. and Augenbroe. G. 2002. Analysis of uncertainty in building design evaluations and its implications. Energy and Buildings. 34:951-958. https://doi.org/10.1016/S0378-7788(02)00070-1
  17. DOE (2012), U.S. Department of Energy, Solar decathlon, http://www.solardecathlon.gov/ (accessed Mar. 2012)
  18. Donn, M. (2001), Tools for quality control in simulation, Building and Environment, Vol.36, pp.673-680 https://doi.org/10.1016/S0360-1323(00)00059-7
  19. Dunovska, T., Drkal F. and Hensen, J. (1999), Barriers and solutions to the use of building simulation in the Czech republic, Proceedings of the 6th IBPSA conference, Kyoto, Japan, September. 13-15 1999, pp.257-262
  20. Heo, Y.. Choudhary, R., Augenbroe G. (2012), Calibration of building energy models for retrofit analysis under uncertainty, Energy and Buildings, Vol.47, pp.550-560 https://doi.org/10.1016/j.enbuild.2011.12.029
  21. Hien, W.N., Poh, L.K., Feriadi, H. (2003), computer-based performance simulation for building design and evaluation: the Singapore perspective, simulation gaming Vol.34, No.3, pp.457-477 https://doi.org/10.1177/1046878103255917
  22. IBPSA (1987-2011), Proceedings of the IBPSA(International Building Performance Simulation Association) conference('87. '91, '93, '95, '97, '99, '01, '03, '05, '07, '09, '11)
  23. Kokogiannakis, G., Strachan, P. and Clarke, J. (2008), Comparison of the simplified methods of the ISO 13790 standard and detailed modelling programs in a regulatory context, Journal of Building Performance Simulation, Vol.1, No.4, pp.209-219 https://doi.org/10.1080/19401490802509388
  24. Mahdavi (1998), Computational decision support and the building delivery process: a necessary dialogue, Automation in Construction, Vol.7, pp205-211 https://doi.org/10.1016/S0926-5805(97)00061-7
  25. Mahdavi A, Feuer, S., Redlein, A, Suter, G. (2003), An inquiry into the building performance simulation tools usage by architects in austria, Proceedings of the 8th IBPSA conference, Eindhoven, Netherlands, August 11-14 2003, pp.777-784
  26. Mcdonald, I. (2002), Quantifying the Eects of Uncertainty in Building Simulation, Ph.D. thesis, Department of Mechanical Engineering University of Strathclyde
  27. Moore, A. (2002), Crossing the Chasm: Geoffrey, Collins Business Books essentials, revised Edition
  28. Lawson, B. (1997), How Designers Think: The Design Process Demystified, 4th ed. Architectural Press, Burlington
  29. Pilgrim, M. Bouchlaghem, N., Loveday, D. and Holmes M.(2003), Towards the efficient use of simulation in building performance analysis: a user survey, Building Service Engineering Research and Technology, Vol.24, No.3, pp.149-162 https://doi.org/10.1191/0143624403bt068oa
  30. Rao, S.S. (1996), Engineering optimization - theory and practice, 3rd Ed., John Wiley & Sons, Inc.
  31. Schon, D.A. (1991), The Reflective Practitioner: How Professionals Think in Action, Ashgate Publishing Limited, UK
  32. Schon, D.A. (1988), Designing: rules, types and worlds, Design Studies Vol.9, No.3, pp.181-190 https://doi.org/10.1016/0142-694X(88)90047-6
  33. Souza C.B. (2012), Contrasting paradigms of design thinking: the building thermal simulation tool user vs. the building designer, Automation in Construction, Vol.22, pp.112-122 https://doi.org/10.1016/j.autcon.2011.09.008