메뉴 건너뛰기




Volumn 3, Issue 2, 2010, Pages 87-101

The role of adaptive thermal comfort in the prediction of the thermal performance of a modern mixed-mode office building in the UK under climate change

Author keywords

Adaptive thermal comfort; Climate change; Overheating risk; Probabilistic method

Indexed keywords

ADAPTIVE THERMAL COMFORT; BUILDING DESIGNERS; BUILDING PERFORMANCE; BUILDING SIMULATION; CLIMATE CHANGE IMPACT; CONTROL SET; HVAC SYSTEM; MIXED MODE; PROBABILISTIC METHODS; THERMAL PERFORMANCE; THERMAL PERFORMANCE OF BUILDINGS; TIME HORIZONS; TIME-SCALES;

EID: 77952618586     PISSN: 19401493     EISSN: 19401507     Source Type: Journal    
DOI: 10.1080/19401490903486114     Document Type: Article
Times cited : (39)

References (49)
  • 3
    • 0004278893 scopus 로고    scopus 로고
    • ASHRAE, Atlanta: ASHRAE
    • ASHRAE, 2009. Handbook of fundamentals. Atlanta: ASHRAE
    • (2009) Handbook of Fundamentals
  • 4
    • 34247367257 scopus 로고    scopus 로고
    • Occupant comfort in UK offices - how adaptive comfort theories influence future low energy office refurbishment strategies
    • Barlow, S. and Fiala, D., 2007. Occupant comfort in UK offices - how adaptive comfort theories influence future low energy office refurbishment strategies. Energy and Buildings, 39, 837-846.
    • (2007) Energy and Buildings , vol.39 , pp. 837-846
    • Barlow, S.1    Fiala, D.2
  • 7
    • 77952609865 scopus 로고    scopus 로고
    • Estimating the impacts of climate change and urbanization on building performance
    • Crawley, D.B., 2009. Estimating the impacts of climate change and urbanization on building performance. Journal of Building Performance Simulation, 1 (2), 91-115.
    • (2009) Journal of Building Performance Simulation , vol.1 , Issue.2 , pp. 91-115
    • Crawley, D.B.1
  • 8
    • 77952601505 scopus 로고    scopus 로고
    • Identification of key factors for uncertainty in the prediction of the thermal performance of an office building under climate change
    • de Wilde, P. and Tian, W., 2009. Identification of key factors for uncertainty in the prediction of the thermal performance of an office building under climate change.Building Simulation, 2 (3), 157-174.
    • (2009) Building Simulation , vol.2 , Issue.3 , pp. 157-174
    • de Wilde, P.1    Tian, W.2
  • 9
    • 85121894623 scopus 로고    scopus 로고
    • Uncertainty in building simulation
    • In: A.M. Malkawi and G. Augenbroe, eds., New York: Spon Press
    • de Wit, S., 2003. Uncertainty in building simulation. In: A.M. Malkawi and G. Augenbroe, eds. Advanced building simulation. New York: Spon Press, 25-60.
    • (2003) Advanced Building Simulation , pp. 25-60
    • de Wit, S.1
  • 11
    • 23844555989 scopus 로고    scopus 로고
    • ECL, [online]. Environmental change institute. Available from, [Accessed 10 March 2009]
    • ECL, 2005. 40% House report [online]. Environmental change institute. Available from: http://www.eci.ox.ac.uk/research/energy/40house.php [Accessed 10 March 2009].
    • (2005) 40% House Report
  • 12
    • 24944531659 scopus 로고    scopus 로고
    • Climate change impacts on building heating and cooling energy demand in Switzerland
    • Frank, T., 2005. Climate change impacts on building heating and cooling energy demand in Switzerland. Energy and Buildings, 37 (11), 1175-1185.
    • (2005) Energy and Buildings , vol.37 , Issue.11 , pp. 1175-1185
    • Frank, T.1
  • 13
    • 0036085488 scopus 로고    scopus 로고
    • Identification and review of sensitivity analysis methods
    • Frey, H.C. and Patil, S., 2002. Identification and review of sensitivity analysis methods. Risk Analysis, 22 (3), 553-578.
    • (2002) Risk Analysis , vol.22 , Issue.3 , pp. 553-578
    • Frey, H.C.1    Patil, S.2
  • 14
    • 60549115963 scopus 로고    scopus 로고
    • Application of the UKCIP02 climate change scenarios: Reflections and lessons learnt
    • Gawith, M., Street, R., and Westaway, R., 2009. Application of the UKCIP02 climate change scenarios: reflections and lessons learnt. Global Environmental Change, 19 (1), 113-121.
    • (2009) Global Environmental Change , vol.19 , Issue.1 , pp. 113-121
    • Gawith, M.1    Street, R.2    Westaway, R.3
  • 16
    • 0038476492 scopus 로고    scopus 로고
    • Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems
    • Helton, J.C. and Davis, F.J., 2003. Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems. Reliability Engineering and System Safety, 81 (1), 23-69.
    • (2003) Reliability Engineering and System Safety , vol.81 , Issue.1 , pp. 23-69
    • Helton, J.C.1    Davis, F.J.2
  • 17
    • 33745727561 scopus 로고    scopus 로고
    • Survey of sampling-based methods for uncertainty and sensitivity analysis
    • Helton, J.C., et al., 2006. Survey of sampling-based methods for uncertainty and sensitivity analysis. Reliability Engineering and System Safety, 91 (10-11), 1175-1209.
    • (2006) Reliability Engineering and System Safety , vol.91 , Issue.10-11 , pp. 1175-1209
    • Helton, J.C.1
  • 19
    • 34247108976 scopus 로고    scopus 로고
    • Climate change, thermal comfort and energy: Meeting the design challenges of the 21st century
    • Holmes, M.J. and Hacker, J., 2007. Climate change, thermal comfort and energy: meeting the design challenges of the 21st century. Energy and Buildings, 39 (7), 802-814.
    • (2007) Energy and Buildings , vol.39 , Issue.7 , pp. 802-814
    • Holmes, M.J.1    Hacker, J.2
  • 21
    • 38549090202 scopus 로고    scopus 로고
    • Climatic and internal factors affecting future UK office heating and cooling energy consumptions
    • Jenkins, D.P., Liu, Y., and Peacock, A.D., 2008a. Climatic and internal factors affecting future UK office heating and cooling energy consumptions. Energy and Buildings, 40 (5), 874-881.
    • (2008) Energy and Buildings , vol.40 , Issue.5 , pp. 874-881
    • Jenkins, D.P.1    Liu, Y.2    Peacock, A.D.3
  • 24
    • 52449087753 scopus 로고    scopus 로고
    • Climate change future proofing of buildings - generation and assessment of building simulation weather files
    • Jentsch, M.F., Bahaj, A.S., and James, P.A.B., 2008. Climate change future proofing of buildings - generation and assessment of building simulation weather files. Energy and Buildings, 40 (12), 2148-2168.
    • (2008) Energy and Buildings , vol.40 , Issue.12 , pp. 2148-2168
    • Jentsch, M.F.1    Bahaj, A.S.2    James, P.A.B.3
  • 27
    • 77952642848 scopus 로고    scopus 로고
    • LBNL (Lawrence Berkeley National Laboratory), November, Berkeley
    • LBNL (Lawrence Berkeley National Laboratory), 2008. EnergyPlus manual V3.0. November 2008, Berkeley.
    • (2008) EnergyPlus Manual V3.0
  • 29
    • 77952596813 scopus 로고    scopus 로고
    • Assessing the significance of design changes when simulating building performance including the effects of uncertain input data
    • Vancouver, Canada
    • Macdonald, I.A., 2004. Assessing the significance of design changes when simulating building performance including the effects of uncertain input data. In: Proceedings eSim 2004, Vancouver, Canada.
    • (2004) Proceedings eSim , pp. 2004
    • MacDonald, I.A.1
  • 30
    • 0035254162 scopus 로고    scopus 로고
    • Practical application of uncertainty analysis
    • Macdonald, I.A. and Strachan, P., 2001. Practical application of uncertainty analysis. Energy and Buildings, 33 (3), 219-217.
    • (2001) Energy and Buildings , vol.33 , Issue.3 , pp. 219-217
    • MacDonald, I.A.1    Strachan, P.2
  • 32
    • 77952627187 scopus 로고    scopus 로고
    • Market transformation programme [online]
    • MTP, Available from, [Accessed 10 March 2009]
    • MTP, 2009. Market transformation programme [online]. Available from: http://www.mtprog.com/ [Accessed 10 March 2009].
    • (2009)
  • 34
    • 77952589341 scopus 로고    scopus 로고
    • National calculation method [online]
    • NCM, UK. Available from, [Accessed 22 April 2009]
    • NCM, 2009. National calculation method [online]. UK. Available from: http://www.ncm.bre.co.uk/ [Accessed 22 April 2009].
    • (2009)
  • 35
    • 0036642936 scopus 로고    scopus 로고
    • Adaptive thermal comfort and sustainable thermal standards for buildings
    • Nicol, F. and Humphreys, M., 2002. Adaptive thermal comfort and sustainable thermal standards for buildings. Energy and Buildings, 34, 563-572.
    • (2002) Energy and Buildings , vol.34 , pp. 563-572
    • Nicol, F.1    Humphreys, M.2
  • 36
    • 33846564900 scopus 로고    scopus 로고
    • Maximum temperatures in European office buildings to avoid heat discomfort
    • Nicol, F. and Humphreys, M., 2007. Maximum temperatures in European office buildings to avoid heat discomfort. Solar Energy, 81 (3), 295-304.
    • (2007) Solar Energy , vol.81 , Issue.3 , pp. 295-304
    • Nicol, F.1    Humphreys, M.2
  • 37
    • 70249151459 scopus 로고    scopus 로고
    • Derivation of the adaptive equations for thermal comfort in free-running buildings in European standard EN15251
    • Nicol, F. and Humphreys, M., 2010. Derivation of the adaptive equations for thermal comfort in free-running buildings in European standard EN15251. Building and Environment, 45 (1), 11-17.
    • (2010) Building and Environment , vol.45 , Issue.1 , pp. 11-17
    • Nicol, F.1    Humphreys, M.2
  • 38
    • 67651233297 scopus 로고    scopus 로고
    • Suggestion for new approach to overheating diagnostics
    • Nicol, F., et al., 2009. Suggestion for new approach to overheating diagnostics. Building Research and Information, 37 (4), 348-357.
    • (2009) Building Research and Information , vol.37 , Issue.4 , pp. 348-357
    • Nicol, F.1
  • 41
    • 5344244656 scopus 로고    scopus 로고
    • R Development Core Team, Vienna, Austria: R Foundation for Statistical Computing. ISBN 3-900051-07-0. Available from
    • R Development Core Team, 2008. R: a language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. ISBN 3-900051-07-0. Available from: URL http://www.R-project.org
    • (2008) R: A Language and Environment for Statistical Computing
  • 43
    • 77952618403 scopus 로고    scopus 로고
    • SPSS statistics 16.0 for Microsoft Windows, November 2007
    • SPSS statistics 16.0 for Microsoft Windows, November 2007.
  • 44
    • 0037903067 scopus 로고    scopus 로고
    • Towards a research agenda for adapting to climate change
    • Steemers, K., 2003. Towards a research agenda for adapting to climate change. Building Research and Information, 31 (3-4), 291-301.
    • (2003) Building Research and Information , vol.31 , Issue.3-4 , pp. 291-301
    • Steemers, K.1
  • 47
    • 34548585030 scopus 로고    scopus 로고
    • Multiple predictor smoothing methods for sensitivity analysis: Description of techniques
    • Storlie, C.B. and Helton, J.C., 2008. Multiple predictor smoothing methods for sensitivity analysis: description of techniques. Reliability Engineering and System Safety, 93 (1), 28-54.
    • (2008) Reliability Engineering and System Safety , vol.93 , Issue.1 , pp. 28-54
    • Storlie, C.B.1    Helton, J.C.2
  • 49
    • 77952624333 scopus 로고    scopus 로고
    • Uncertainty analysis for conceptual building design - a review of input data
    • Munich, Germany. IBPSA Germany
    • Struck, C. and Hensen, J., 2006. Uncertainty analysis for conceptual building design - a review of input data. In: Proceedings of BauSIM 2006, Munich, Germany. IBPSA Germany, 199-202.
    • (2006) Proceedings of BauSIM 2006 , pp. 199-202
    • Struck, C.1    Hensen, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.