B Aebischer, M Jakob, G Catenazzi (2007). Impact of climate change on thermal comfort, heating and cooling energy demand in Europe. In: Proceedings ECEEE 2007 Summer Study “Saving Energy—Just do it!”, 2007 France.
D Arasteh, S Selkowitz, J Apte (2006). Zero Energy windows, 2006 ACEEE summer study on energy efficiency in buildings, 2006, Pacific Grove, CA, USA.
ASHRAE (2001). International Weather for Energy Calculations (IWEC Weather Files). Atlanta: ASHRAE.
SE Belcher, JN Hacker, DS Power (2005). Constructing design weather data for future climates. Building Services Engineering Research & Technology, 26(1): 49-61.
BRE—Building Research Establishment (2008). International comparison of energy standards in building regulations for non-domestic buildings: Denmark, Finland, Norway, Scotland, and Sweden, Scottish Government. July 2008.
M Bruns, CJJ Paredis, S Ferson (2006). Computational methods for decision making based on imprecise information. In: Proceedings of the NSF Workshop on Reliable Engineering Computing: Modeling Errors and Uncertainty in Engineering Computations, (pp. 1761-1769) 2006, Savannah, Georgia, USA.
DG Cacuci (2003). Sensitivity and Uncertainty Analysis Volume I: Theory. Boca Raton, FL, USA: Chapman and Hall/CRC Press.
CIBSE (2005). TM36: Climate change and the indoor environment: impacts and adaptation. London: CIBSE.
CIBSE—The Chartered Institution of Building Services Engineers. (2006). Guide A: Environmental Design, London: CIBSE.
DB Crawley (2008). Estimating the impacts of climate change and urbanization on building performance. Journal of Building Performance Simulation, 1(2): 91-115.
AC Cullen, HC Frey (1999). Probabilistic Techniques in Exposure Assessment. New York: Plenum Press.
NJ Cullen, H Lea (2001). Climate change—Design buildings with a future. In: 2001 CIBSE national conference, 2001, Regents College, UK.
J Douglas, (2008). Building Adaptation, 2nd edn. Amsterdam: Elsevier.
MS Eldred, ML Martinez-Canales, JP Watson, TG Kolda, BM Adams, LP Swiler, PJ Williams, PD Hough, DM Gay, DM Dunlavy, JP Eddy, WE Hart, AA Giunta,SL Brown (2008). DAKOTA, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis, Version 4.2 User's Manual, Sandia National Laboratories, USA.
Element Energy (2008). The growth potential for Micro-generation in England, Wales and Scotland. Department for Business, Enterprise and Regulatory Reform. UK. June 2008.
EPA (2001). Risk Assessment Guidance for Superfund (RAGS) Volume Ⅲ—Part A: Process for Conducting Probabilistic Risk Assessment, US Environmental Protection Agency (EPA).
HC Fennell, J Haehnel (2005). Setting airtightness standards. ASHRAE Journal, 47(9): 26-30.
T Frank (2005). Climate change impacts on building heating and cooling energy demand in Switzerland. Energy and Buildings, 37(11): 1175-1185.
HC Frey, S Patil (2002). Identification and review of sensitivity analysis methods. Risk Analysis, 22(3): 553-578.
HC Frey, A Moktari, J Zheng (2004). Recommended Practice Regarding Selection, Application, and Interpretation of Sensitivity Analysis Methods Applied to Food Safety Risk Process Models. North Carolina State University, USA.
M Gawith, R Street, R Westaway (2009). Application of the UKCIP02 climate change scenarios: reflections and lessons learnt. Global Environmental Change, 19(1): 113-121.
AA Giunta, MS Eldred, JP Castro (2004). Uncertainty quantification using response surface approximations. In: 9th ASCE Specialty Conference on Probabilistic Mechanics and Structural Reliability, 2004, Albuquerque, USA.
L Guan (2009). Implication of global warming on air-conditioned office buildings in Australia. Building Research & Information, 37(1): 43-54.
L Guan (2009). Preparation of future weather data to study the impact of climate change on buildings. Building and Environment, 44(4): 793-800.
JC Helton (1997). Uncertainty and sensitivity analysis in the presence of stochastic and subjective uncertainty. Journal of Statistical Computation and Simulation, 57(1): 3-76.
JC Helton, FJ Davis (2003). Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems. Reliability Engineering & System Safety, 81(1): 23-69.
JC Helton, JD Johnson, CJ Sallaberry, CB Storlie (2006). Survey of sampling-based methods for uncertainty and sensitivity analysis. Reliability Engineering & System Safety, 91(10-11): 1175-1209.
M Hinnells, R Layberry, D Curtis, A Shea (2008). Transforming UK non-residential buildings: achieving a 60% in CO2 emissions by 2050. Paper presented in IEECB (Improving Energy Efficiency in Commercial Buildings), 2008, Frankfurt, Germany.
FO Hoffman, JS Hammonds (1994). Propagation of uncertainty in risk assessments: the need to distinguish between uncertainty due to lack of knowledge and uncertainty due to variability. Risk Analysis, 14(5): 707-712.
MJ Holmes, J Hacker (2007). Climate change, thermal comfort and energy: meeting the design challenges of the 21st century. Energy and Buildings, 39(7): 802-814.
M Hulme, GJ Jenkins, X Lu, JR Turnpenny, TD Mitchell, RJ Jones, J Lowe, JM Murphy, D Hassell, P Boorman, R McDonald, S Hill (2002). Climate change scenarios for the United Kingdom: the UKCIP02 Scientific Report. Norwich: Tyndall Centre for Climate Change Research, University of East Anglia, UK.
DP Jenkins, Y Liu, AD Peacock (2008a). Climatic and internal factors affecting future UK office heating and cooling energy consumptions. Energy and Buildings, 40(5): 874-881.
DP Jenkins, AD Peacock, Y Liu (2008b). Assessing the risks and likelihood of eliminating cooling loads in UK offices. Paper presented in IEECB (Improving Energy Efficiency in Commercial Buildings), 2008, Frankfurt, Germany.
MF Jentsch, AS Bahaj, PAB James (2008). Climate change future proofing of buildings—Generation and assessment of building simulation weather files. Energy and Buildings, 40(12): 2148-2168.
S Jones, P Lacey, T Walshe. (2009). A dynamic hydrological Monte Carlo simulation model to inform decision-making at Lake Toolibin, Western Australia. Journal of Environmental Management, 90(5): 1761-1769.
D King (2007). Innovate green office: a new standard for sustainable buildings. Energy, 160(3): 105-111.
LBNL (Lawrence Berkeley National Laboratory) (2008). EnergyPlus Manual V3.0. November 2008, Berkeley, USA.
GJ Levermore (2008). A review of the IPCC assessment report four, Part 2: mitigation options for residential and commercial buildings. Building Services Engineering Research and Technology, 29(4): 363-374.
IA Macdonald (2002). Quantifying the effects of uncertainty in building simulation. PhD Thesis, University of Strathclyde, Scotland.
IA Macdonald, P Strachan (2001). Practical application of uncertainty analysis. Energy and Buildings, 33(3): 219-217.
IA Macdonald (2004). Assessing the significance of design changes when simulating building performance including the effects of uncertain input data. In: Proceedings eSim 2004, Vancouver, Canada.
TA Mara, S Tarantola (2008). Application of global sensitivity analysis of model output to building thermal simulations. Building Simulation, 1(4): 290-302.
MiniTab (2009). MiniTab statistical software package, V.15.
A Mokhtari, HC Frey (2005). Sensitivity analysis of a two-dimensional probabilistic risk assessment model using analysis of variance. Risk Analysis, 25(6): 1511-1529.
HJ Moon, G Augenbroe (2008). Empowerment of decision-makers in mould remediation. Building Research and Information, 36(5): 486-498.
MTP (market transformation programme) (2008a) Policy brief: improving the energy performance of commercial lighting products. Department for Environment Food and Rural affairs, UK.
MTP (market transformation programme) (2008b). Policy brief: improving the energy performance of information and com-munication technology products. Department for Environment Food and Rural affairs, UK.
MTP (market transformation programme) (2008c). BNCH01: model of UK energy consumption for non-domestic heating systems. Department for Environment Food and Rural affairs, UK.
MTP (market transformation programme) (2008d). BNCH02: non-domestic heating system efficiency. Department for Environment Food and Rural affairs, UK.
ODPM (2005). Age of Commercial and Industrial Stock: Local Authority Level 2004, England and Wales, Office of the Deputy Prime Minister (ODPM), London, UK.
DR Oughton, SL Hodkinson (2008). Faber & Kell's heating and air conditioning of buildings. Amsterdam: Elsevier.
CH Pout, F MacKenizie, R Bettle (2002). Carbon dioxide emissions from non-domestic buildings: 2000 and beyond. Department for Environment, Food & Rural Affairs, UK.
KD Rao, HS Kushwaha, AK Verma, A Srividya (2007). Quantification of epistemic and aleatory uncertainties in level-1 probabilistic safety assessment studies. Reliability Engineering & System Safety, 92(7): 947-956.
A Saltelli, K Chan, EM Scott (2000). Sensitivity analysis. Hoboken NJ: Wiley.
SIMLAB (2004). Version 2.2 Simulation Environment for Uncertainty and Sensitivity Analysis, developed by the Joint Research Centre of the European Commission.
SPSS (2007). SPSS statistics 16.0 for Microsoft Windows, November 2007.
K Steemers (2003). Towards a research agenda for adapting to climate change. Building Research & Information, 31(3-4): 291-301.
C Struck, J Hensen (2007). On supporting design decisions in conceptual design addressing specification uncertainties using performance simulation. In: Proceedings of the 10th International Building Performance Simulation Association conference and Exhibition (BS2007), Beijing, China.
C Struck, J Hensen (2006). Uncertainty analysis for conceptual building design—A review of input data, In: BauSIM 2006 Proceedings, 2006, Munich, Germany, 199-202.
LP Swiler, AA Giunta (2007). Aleatory and epistemic uncertainty quantification for engineering applications. Sandia Technical Report (USA), SAND2007-2670C.
P Tuohy (2008). Air-conditioning: the impact of UK regulations, the risks of un-necessary air-conditioning and a capability index for non-air conditioned naturally ventilated buildings. Air Conditioning and the Low Carbon Cooling Challenge, 2008 Cumberland Lodge, Windsor, UK.
UK Green Building Council (UKGBC) (2007). Report on carbon reductions in new non-domestic buildings. London: DCLG/UKGBC.
D Vose (2008). Risk Analysis: A Quantitative Guide, 3rd edn. Hoboken NJ: John Wiley and Sons.
R Willows, R Connell (2003). Climate adaptation: risk, uncertainty and decision-making. UKCIP, Oxford, UK.
S de Wit (2003). Uncertainty in building simulation. In: A Malkawi, G Augenbroe (eds), Advanced Building Simulation. New York: Spon Press, pp. 25-60.
FC Wu, YP Tsang (2004). Second-order Monte Carlo uncertainty/variability analysis using correlated model parameters: application to salmonid embryo survival risk assessment. Ecological Modelling, 177(3-4): 393-414.