A review of sensitivity analysis methods in building energy analysis

Renewable and Sustainable Energy Reviews

Volumn 20, Issue , 2013, Pages 411-419

  Wei, Tian ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

Building energy; Correlated inputs; Global method; Sensitivity analysis; Variance based method

Indexed keywords

BUILDING ENERGY; BUILDING ENERGY CONSUMPTION; BUILDING ENERGY PERFORMANCE; BUILDING PERFORMANCE; BUILDING THERMAL PERFORMANCE; COMPUTATIONAL TIME; CORRELATED INPUTS; ENERGY MODEL; ENERGY SIMULATION; GLOBAL METHODS; GLOBAL SENSITIVITY ANALYSIS; IN-BUILDINGS; INPUT SPACE; KEY VARIABLES; META MODEL; MODEL OUTPUTS; OBSERVATIONAL STUDY; PRACTICAL GUIDANCE; PRACTICAL ISSUES; ROBUST ANALYSIS; SENSITIVITY INDICES; VARIANCE-BASED METHODS;

BUILDINGS; COMPUTER SIMULATION; ENERGY UTILIZATION; MIXED CONVECTION;

SENSITIVITY ANALYSIS;

EID: 84872293524     PISSN: 13640321     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rser.2012.12.014     Document Type: Review

References (74)

1. JS Hygh, JF DeCarolis, DB Hill, and S Ranji Ranjithan Multivariate regression as an energy assessment tool in early building design Building and Environment 57 2012 165 175
2. CJ Hopfe, and JLM Hensen Uncertainty analysis in building performance simulation for design support Energy and Buildings 43 2011 2798 2805
3. Westphal FS, Lamberts R Building simulation calibration using sensitivity analysis, August 15-18, 2005, Montréal, Canada. IBPSA (International Building Performance Simulation Association) conference2005.
4. J Sun, and TA Reddy Calibration of building energy simulation programs using the analytic optimization approach (RP-1051) HVAC&R Research 12 2006 177 196 (Pubitemid 43323563)
5. S-I Gustafsson Sensitivity analysis of building energy retrofits Applied Energy 61 1998 13 23 (Pubitemid 129522103)
6. JC Lam, KKW Wan, and L Yang Sensitivity analysis and energy conservation measures implications Energy Conversion and Management 49 2008 3170 3177
7. W Tian, and R Choudhary A probabilistic energy model for non-domestic building sectors applied to analysis of school buildings in greater London Energy and Buildings 54 2012 1 11
8. F Moran, S Natarajan, and M Nikolopoulou Developing a database of energy use for historic dwellings in Bath, UK Energy and Buildings 2012 in press 〈http://dx.doi.org/10.1016/j.enbuild.2012.09.016〉
9. W Tian, and P de Wilde Uncertainty and sensitivity analysis of building performance using probabilistic climate projections: a UK case study Automation in Construction 20 2011 1096 1109
10. de Wilde P, Tian W Preliminary application of a methodology for risk assessment of thermal failures in buildings subject to climate change. Strachan, Kelly, Kummert, editors IBPSA (International Building Performance Simulation Association) conference 2009. p. 2077-2084.
11. I Macdonald, and P Strachan Practical application of uncertainty analysis Energy and Buildings 33 2001 219 227 (Pubitemid 32029329)
12. HE Mechri, A Capozzoli, and V Corrado USE of the ANOVA approach for sensitive building energy design Applied Energy 87 2010 3073 3083
13. P de Wilde, and W Tian Identification of key factors for uncertainty in the prediction of the thermal performance of an office building under climate change Building Simulation 2 2009 157 174
14. A Saltelli, M Ratto, S Tarantola, and F Campolongo Update 1 of: sensitivity analysis for chemical models Chemical Reviews 112 2012 PR1 PR21
15. T Mara, and S Tarantola Application of global sensitivity analysis of model output to building thermal simulations Building Simulation 1 2008 290 302
16. KJ Lomas, and H Eppel Sensitivity analysis techniques for building thermal simulation programs Energy and Buildings 19 1992 21 44 (Pubitemid 23570174)
17. JC Lam, and S Hui Sensitivity analysis of energy performance of office buildings Building and Environment 31 1996 27 39 (Pubitemid 126399246)
18. M Rasouli, G Ge, CJ Simonson, and RW Besant Uncertainties in energy and economic performance of HVAC systems and energy recovery ventilators due to uncertainties in building and HVAC parameters Applied Thermal Engineering 50 2013 732 742
19. G Cammarata, A Fichera, and L Marletta Sensitivity analysis for room thermal response International Journal of Energy Research 17 1993 709 718
20. SØ Jensen Validation of building energy simulation programs: a methodology Energy and Buildings 22 1995 133 144
21. S Petersen, and S Svendsen Method and simulation program informed decisions in the early stages of building design Energy and Buildings 42 2010 1113 1119
22. Demanuele C, Tweddell T, Davies M Bridging the gap between predicted and actual energy performance in schools. World Renewable Energy Congress XI, 25-30 September 2010, Abu Dhabi, UAE2010.
23. SK Firth, KJ Lomas, and AJ Wright Targeting household energy-efficiency measures using sensitivity analysis Building Research & Information 38 2009 25 41
24. V Cheng, and K Steemers Modelling domestic energy consumption at district scale: a tool to support national and local energy policies Environmental Modelling and Software 26 2011 1186 1198
25. Y Yildiz, K Korkmaz, T Göksal Özbalta, and Z Durmus Arsan An approach for developing sensitive design parameter guidelines to reduce the energy requirements of low-rise apartment buildings Applied Energy 93 2012 337 347
26. F Domínguez-Muñoz, JM Cejudo-López, and A Carrillo-Andrés Uncertainty in peak cooling load calculations Energy and Buildings 42 2010 1010 1018
27. H Breesch, and A Janssens Performance evaluation of passive cooling in office buildings based on uncertainty and sensitivity analysis Solar Energy 84 2010 1453 1467
28. C Struck, J Hensen, and P Kotek On the application of uncertainty and sensitivity analysis with abstract building performance simulation tools Journal of Building Physics 33 2009 5 27
29. I Ballarini, and V Corrado Analysis of the building energy balance to investigate the effect of thermal insulation in summer conditions Energy and Buildings 52 2012 168 180
30. Tian W, de Wilde P Sampling-based sensitivity analysis of thermal performance in domestic buildings under climate change, EG-ICE(European Group for Intelligient Computing in Engineering), 6-8 JUly 2011, Twente University, The Netherlands 2011.
31. Wright JA, Wang M, Brownlee AEI, Buswell RA Variable convergence in evolutionary optimization and its relationship to sensitivity analysis, First building simulation and optimization conference, 10-11 September 2012, Loughborough, UK 2012.
32. Brohus H, Heiselberg P, Simonsen A, Sørensen K Uncertainty of energy consumption assessment of domestic buildings. Proceedings of the eleventh International Building Performance Simulation Association (IBPSA) Conference, Glasgow, UK2009. p. 27-30.
33. Zhao F Agent-based modeling of commercial building stocks for energy policy and demand response analysis, PhD thesis: Georgia Institute of Technology; 2012.
34. J Zhao, Y Xin, and D Tong Energy consumption quota of public buildings based on statistical analysis Energy Policy 43 2012 362 370
35. DG Sanchez, B Lacarrière, M Musy, and B Bourges Application of sensitivity analysis in building energy simulations: combining first- and second-order elementary effects methods Energy and Buildings 2012 in press 〈http://dx.doi.org/10.1016/j.enbuild.2012.08.048〉
36. Y Heo, R Choudhary, and GA Augenbroe Calibration of building energy models for retrofit analysis under uncertainty Energy and Buildings 47 2012 550 560
37. V Corrado, and HE Mechri Uncertainty and sensitivity analysis for building energy rating Journal of Building Physics 33 2009 125 156
38. P Heiselberg, H Brohus, A Hesselholt, H Rasmussen, E Seinre, and S Thomas Application of sensitivity analysis in design of sustainable buildings Renewable Energy 34 2009 2030 2036
39. S de Wit, and G Augenbroe Analysis of uncertainty in building design evaluations and its implications Energy and Buildings 34 2002 951 958
40. HJ Moon Uncertainty analysis in mould spore transportation and its application in an existing building Indoor and Built Environment 19 2010 355 365
41. S Hyun, C Park, and G Augenbroe Analysis of uncertainty in natural ventilation predictions of high-rise apartment buildings Building Services Engineering Research and Technology 29 2008 311 326
42. H Shen, and A Tzempelikos Sensitivity analysis on daylighting and energy performance of perimeter offices with automated shading Building and Environment 2012 in press 〈http://dx.doi.org/10.1016/j.buildenv.2012.08.028〉
43. Ruiz Flores R, Bertagnolio S, Lemort V Global sensitivity analysis applied to total energy use in buildings, international high performance buildings conference, July 16-19, 2012. Purdue.
44. C. Spitz, L. Mora, E. Wurtz, and A. Jay Practical application of uncertainty analysis and sensitivity analysis on an experimental house Energy and Buildings 55 2012 459 470
45. P de Wilde, and W Tian Predicting the performance of an office under climate change: a study of metrics, sensitivity and zonal resolution Energy and Buildings 42 2010 1674 1684
46. B Eisenhower, Z O'Neill, VA Fonoberov, and I Mezić Uncertainty and sensitivity decomposition of building energy models Journal of Building Performance Simulation 5 2012 171 184
47. JC Helton, JD Johnson, C Sallaberry, and CB Storlie Survey of sampling-based methods for uncertainty and sensitivity analysis Reliability Engineering & System Safety 91 2006 1175 1209
48. F Domínguez-Muñoz, B Anderson, JM Cejudo-López, and A Carrillo-Andrés Uncertainty in the thermal conductivity of insulation materials Energy and Buildings 42 2010 2159 2168
49. A Saltelli, M Ratto, T Andres, F Campolongo, J Cariboni, and D Gatelli Global sensitivity analysis: the primer 2008 Wiley-Interscience
50. W Tian, and P de Wilde Thermal building simulation using the UKCP09 probabilistic climate projections Journal of Building Performance Simulation 4 2011 105 124
51. DOE. EnergyPlus V7.1, May 2012, Department of Energy, USA. 2012.
52. CB Storlie, LP Swiler, JC Helton, and CJ Sallaberry Implementation and evaluation of nonparametric regression procedures for sensitivity analysis of computationally demanding models Reliability Engineering & System Safety 94 2009 1735 1763
53. Burhenne S, Jacob D, Henze GP Uncertainty analysis in building simulation with Monte Carlo techniques. Fourth national conference of IBPSA-USA, New York, August 11-132010.
54. MD Morris Factorial sampling plans for preliminary computational experiments Technometrics 33 1991 161 174
55. RB Gramacy, and M Taddy Categorical inputs, sensitivity analysis, optimization and importance tempering with tgp version 2, an R package for treed Gaussian process models Journal of Statistical Software 33 2012 1 48
56. A Saltelli, S Tarantola, F Campolongo, and M Ratto Sensitivity analysis in practice: a guide to assessing scientific models 2004 Wiley
57. A Saltelli Sensitivity analysis: could better methods be used Journal of Geophysical Research 104 1999 3789 3793 (Pubitemid 29298446)
58. D Hamby A review of techniques for parameter sensitivity analysis of environmental models Environmental Monitoring and Assessment 32 1994 135 154
59. SIMLAB. V2.2, Simulation environment for uncertainty and sensitivity analysis. Developed by the Joint Research Center of the European Commission. 2011.
60. S Levy, and DM Steinberg Computer experiments: a review AStA Advances in Statistical Analysis 94 2010 311 324
61. T Hastie, R Tibshirani, and J Friedman The elements of statistical learning: data mining, inference, and prediction 2009 Springer
62. JE Oakley, and A O'Hagan Probabilistic sensitivity analysis of complex models: a Bayesian approach Journal of the Royal Statistical Society: Series B (Statistical Methodology) 66 2004 751 769 (Pubitemid 39015911)
63. JPC Kleijnen An overview of the design and analysis of simulation experiments for sensitivity analysis European Journal of Operational Research 164 2005 287 300
64. IT Jolliffe Principal component analysis 2002 Wiley London
65. J Bi A review of statistical methods for determination of relative importance of correlated predictors and identification of drivers of consumer liking Journal of Sensory Studies 27 2012 87 101
66. U Grömping Estimators of relative importance in linear regression based on variance decomposition The American Statistician 61 2007 139 147
67. U Grömping Variable importance assessment in regression: linear regression versus random forest The American Statistician 63 2009 308 319
68. C Strobl, AL Boulesteix, T Kneib, T Augustin, and A Zeileis Conditional variable importance for random forests BMC Bioinformatics 9 2008 307
69. B Efron, and R Tibshirani An introduction to the bootstrap 1993 Chapman & Hall/CRC
70. Gilles Pujol BI, Alexandre Janon. R package sensitivity: sensitivity analysis. 〈http://cran.r-project.org/package=sensitivity/〉. 2012.
71. U Grömping Relative importance for linear regression in R: the package relaimpo Journal of Statistical Software 17 2006 1 27 (Pubitemid 44611242)
72. R development core team. R: a language and environment for statistical computing. R foundation for statistical computing, Vienna, Austria. ISBN 3-900051-07-0, URL 〈http://www.R-project.org/〉. 2011.
73. Storlie C CompModSA: sensitivity analysis for complex computer models. 〈http://cran.r-project.org/package=CompModSA/〉. 2012.
74. Torsten Hothorn KH, Carolin Strobl, Achim Zeileis sensitivity: sensitivity analysis. http://cran.r-project.org/package=party/. 2012.