A review of methods to match building energy simulation models to measured data

Renewable and Sustainable Energy Reviews

Volumn 37, Issue , 2014, Pages 123-141

  Coakley, Daniel ^a   Raftery, Paul ^b   Keane, Marcus ^a  

^a NATIONAL UNIVERSITY OF IRELAND   (Ireland)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Calibration; EnergyPlus; Optimisation; Review; Simulation; Uncertainty

Indexed keywords

CALIBRATION; COST EFFECTIVENESS; REVIEWS;

BUILDING ENERGY SIMULATIONS; CALIBRATION PROCESS; ENERGY CONSERVATION MEASURES; ENERGYPLUS; OPTIMISATIONS; PERFORMANCE OPTIMISATION; SIMULATION; UNCERTAINTY;

STRUCTURAL DESIGN;

EID: 84901601082     PISSN: 13640321     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rser.2014.05.007     Document Type: Review

References (129)

1. Saltelli, Andrea, Marco Ratto, Terry Andres, Francesca Campolongo, Jessica Cariboni, and Debora Gatelli et al. Global sensitivity analysis: the primer 2008 John Wiley & Sons Ltd Chichester, West Sussex PO19 8SQ, England ISBN: 978-0-470-05997-5
2. P. Young, S. Parkinson, and M. Lees Simplicity out of complexity in environmental modelling: Occam?s razor revisited J Appl Stat 23 1996 165 210
3. A.R. Florita, and G.P. Henze Whole building fault diagnostics - a Bayesian approach Intell Build Oper Work, Boulder, CO 2013 In: procceding of 2013 intelligent building operations workshop, June 20-22, 2013, Boulder, CO, USA, (see ?http://www.ibpsa.us/IBO2013.shtml?)
4. T.A. Reddy, and K.K. Andersen An evaluation of classical steady-state off-line linear parameter estimation methods applied to chiller performance data HVAC&R Res 8 2002 101 124 (Pubitemid 34125220)
5. Winkelmann F, Birdsall B, Buhl W. DOE-2 supplement: version 2.1 e. LBL-34947. Berkeley: Calif Lawrence Berkeley Lab; 1993.
6. D. Crawley, and L. Lawrie EnergyPlus: creating a new-generation building energy simulation program Energy Build 33 2001 319 331 (Pubitemid 32874877)
7. S.A. Klein, W.A. Beckman, J.W. Mitchell, J.A. Duffie, N.A. Duffie, and T.L. Freeman et al. TRNSYS 16-A, transient system simulation program 1979 University of Wisconsin Madison, WI, USA For more info, ? http://sel.me.wisc. edu/trnsys/ ?
8. ESRU. ESP-r. Glasgow, Scotland G1 1XJ: Energy Systems Research Unit, University of Strathclyde; 1974.
9. D.B.D. Crawley, J.W.J. Hand, M. Kummert, and B.T. Griffith Contrasting the capabilities of building energy performance simulation programs Build Environ 43 2008 661 673 (Pubitemid 350177309)
10. G. Augenbroe Trends in building simulation Build Environ 37 2002 891 902 (Pubitemid 34789206)
11. Tupper K, Franconi E, Chan C, Fluhrer C, Jenkins M, Hodgin S. Pre-Read for BEM innovation summit. building energy model. In: Innovation summit. Boulder, CO; 2011.
12. F. Karlsson, P. Rohdin, and M.L. Persson Measured and predicted energy demand of a low energy building: important aspects when using building energy simulation Build Serv Eng Res Technol 28 2007 223 235 (Pubitemid 47323215)
13. C. Turner, and M. Frankel Energy performance of LEED for new construction buildings 2008 New Buildings Institute Washington, DC
14. J.H. Scofield Do LEED-certified buildings save energy? Not really... Energy Build 41 2009 1386 1390
15. W.L. Carroll, and R.J. Hitchcock Tuning simulated building descriptions to match actual utility data: methods and implementation ASHRAE Trans 99 1993 928 934
16. Kaplan M, Jones B, Jansen J. DOE-2.1 C model calibration with monitored end-use data. In: Proc from ACEEE 1990 summer study energy efficient building: vol. 10; 1990. p. 115-25.
17. Troncoso R. A hybrid monitoring-modeling procedure for analyzing the performance of large central chilling plants. In: Proceedings of the 6th international IBPSA conference, vol. 97. Prague, Czech Republic: International Building Performance Simulation Association; 1997. p. 421-8.
18. S. Diamond, and B. Hunn Comparison of DOE-2 computer program simulations to metered data for seven commercial buildings ASHRAE Trans 87 1981 1222 1231
19. M. Kaplan, J. McFerran, J. Jansen, and R. Pratt Reconciliation of a DOE2. 1C model with monitored end-use data for a small office building ASHRAE Trans 96 1990 982 993
20. Bronson DJ, Hinchey SB, Haberl JS, O'Neal DL. Procedure for calibrating the DOE-2 simulation program to non-weather-dependent measured loads. In: Proceedings of the ASHRAE winter meeting. Anaheim, CA, USA; 1992. p. 636-52.
21. Bou-Saada TE, Haberl JS. An improved procedure for developing calibrated hourly simulation models. In: Proceedings of the 5th international IBPSA conference. Montréal, Canada; 1995.
22. J. Kreider, and J. Haberl Predicting hourly building energy usage ASHRAE J 36 1994 72 81
23. J.F. Kreider, and J.S. Haberl Predicting hourly building energy use: the great energy predictor shootout: overview and discussion of results ASHRAE Trans 100 1994 1104 1118
24. ASHRAE. Guideline 14-2002: measurement of energy and demand savings. Atlanta, GA 30329: American Society of Heating, Refrigerating and Air-Conditioning Engineers; 2002.
25. EVO. International performance measurement & verification protocol. Efficiency Valuation Organisation; 2007.
26. US DOE. M&V guidelines: measurement and verification for federal energy projects version 3.0. US Department Of Energy; 2008.
27. Silvio O. Funtowicz, and Jerome R Ravetz Uncertainty and quality in science for policy vol. 15 1990 Kluwer Academic Publishers Norwell, MA 02061, U.S.A ISBN: 0-7923-0799-2
28. Robert. Rosen Life itself: a comprehensive inquiry into the nature, origin, and fabrication of life 1991 Columbia University Press New York, NY ISBN: 978-0231075657
29. K. Beven Prophecy, reality and uncertainty in distributed hydrological modelling Adv Water Resour 16 1993 41 51
30. G. Aronica, B. Hankin, and K. Beven Uncertainty and equifinality in calibrating distributed roughness coefficients in a flood propagation model with limited data Adv Water Resour 22 1998 349 365 (Pubitemid 29145483)
31. Oreskes, Naomi, Shrader-Frechette Kristin, and Belitz. Kenneth Verification, validation, and confirmation of numerical models in the earth sciences Science 263 5147 1994 641 646
32. S. De Wit, and G. Augenbroe Analysis of uncertainty in building design evaluations and its implications Energy Build 34 2002 951 958
33. I.A. Macdonald Quantifying the effects of uncertainty in building simulation [Ph.D. thesis] 2002 University of Strathclyde
34. I. Macdonald, and P. Strachan Practical application of uncertainty analysis Energy Build 33 2001 219 227 (Pubitemid 32029329)
35. Macdonald I, Clarke JA, Strachan PA. Assessing uncertainty in building simulation. In: Proceedings of the 6th international IBPSA conference. Kyoto, Japan: International Building Performance Simulation Association; 1999.
36. H. Moon Assessing mold risks in buildings under uncertainty [Ph.D. thesis] 2005 Georgia Institute of Technology GA, USA
37. Maile T, Fischer M. Formalizing approximations, assumptions, and simplifications to document limitations in building energy performance simulation. Comparing measured and simulated building energy performance data; 2010.
38. J.A. Clarke, P.A. Strachan, and C. Pernot An approach to the calibration of building energy simulation models ASHRAE Trans 99 1993 917
39. T.A. Reddy Literature review on calibration of building energy simulation programs: uses, problems, procedures, uncertainty, and tools ASHRAE Trans 112 2006 226 240
40. I. Shapiro Energy audits in large commercial office buildings ASHRAE J 51 2009 18 27
41. J. Waltz Practical experience in achieving high levels of accuracy in energy simulations of existing buildings ASHRAE Trans. 98 part 1 1992 606 617 paper number AN-92-1-2
42. T.A. Reddy, I. Maor, and C. Panjapornpon Calibrating detailed building energy simulation programs with measured data - Part I: general methodology (RP-1051) HVAC&R Res 13 2007 221 241 (Pubitemid 46647648)
43. T.A. Reddy, I. Maor, and C. Panjapornpon Calibrating detailed building energy simulation programs with measured data - Part II: application to three case study office buildings (RP-1051) HVAC&R Res 13 2007 243 265 (Pubitemid 46647649)
44. Lebot B. Investigation of an expert system to calibrate a computer simulation program; 1987.
45. R.J. Hitchcock, W.L. Carroll, and B.E. Birdsall RESEM: retrofit energy savings estimation model reference manual 1991 Applied Science Division, Lawrence Berkeley Laboratory (LBL), University of California Berkeley, CA 94720
46. Soebarto V. Calibration of hourly energy simulations using hourly monitored data and monthly utility records for two case study buildings. In: Proceedings of the 4th international IBPSA conference. Prague, Czech Republic; 1997.
47. J.S.J. Haberl, and T.E. Bou-Saada Procedures for calibrating hourly simulation models to measured building energy and environmental data J Sol Energy Eng 120 1998 193 204 (Pubitemid 128735693)
48. P. Raftery, M. Keane, and A. Costa Calibrating whole building energy models: detailed case study using hourly measured data Energy Build 43 2011 3666 3679
49. Coakley D, Raftery P, Molloy P. Calibration of whole building energy simulation models: detailed case study of a naturally ventilated building using hourly measured data. Build Simul Optim 2012;57-64. In: Conference proceedings - Wright Jonathan, Cook Malcolm, (editors.): 2012, Proceedings of the 2012 building simulation and optimization conference. 10-11 September 2012, Loughborough, Leicestershire, UK; ISBN: 978-1-897911-42-6.
50. Lunneberg T. Improving simulation accuracy through the use of short-term electrical end-use monitoring. In: Proceedings of the 6th international IBPSA conference. Kyoto, Japan; 1999. p. 1-8.
51. Manke J, Hittle D, Hancock C. Calibrating building energy analysis models using short term test data. In: Proceedings of the 1996 ASME international solar engineering conference. San Antonio, TX; 1996. p. 369-78.
52. Subbarao K. Primary and secondary terms analysis and renormalization: a unified approach to building energy simulations and short-term testing. Golden, CO; 1988.
53. M. Liu, D.E. Claridge, N. Bensouda, K. Heinemeier, S.U. Lee, and G. Wei High performance commercial building systems manual of procedures for calibrating simulations of building systems 2003 California Energy Commission (CEC) California, USA
54. G. Liu, and M. Liu A rapid calibration procedure and case study for simplified simulation models of commonly used HVAC systems Build Environ 46 2011 409 420
55. J. Yoon, E.J. Lee, and D.E. Claridge Calibration procedure for energy performance simulation of a commercial building J Sol Energy Eng 125 2003 251
56. Yoon J, Lee E. Calibration procedure of energy performance simulation model for a commercial building. In: Proceedings of building simulations 1999. Kyoto, Japan: International Building Performance Simulation Association; 1999.
57. T. Reddy, S. Deng, and D. Claridge Development of an inverse method to estimate overall building and ventilation parameters of large commercial buildings J Sol Energy Eng 121 1999 40 46
58. D. Hadley Daily variations in HVAC system electrical energy consumption in response to different weather conditions Energy Build 19 1993 235 247 (Pubitemid 23626322)
59. P. Raftery, M. Keane, J. O'Donnell, and J. O'Donnell Calibrating whole building energy models: an evidence-based methodology Energy Build 43 2011 2356 2364
60. H. Akbari Validation of an algorithm to disaggregate whole-building hourly electrical load into end uses Energy 20 1995 1291 1301
61. H. Akbari, and S. Konopacki Application of an end-use disaggregation algorithm for obtaining building energy-use data J Sol Energy Eng 120 1998 205 210 (Pubitemid 128735694)
62. H. Akbari, K. Heinemeier, D. Flora, and P. LeConiac Analysis of commercial whole-building 15-minute-interval electric load data ASHRAE Trans 94 2 1988 OT-88-01-1. [Accessed at: ?https://publications.lbl.gov/islandora/object/ ir%3A113489? ]
63. Coakley D, Raftery P, Molloy P, White G. Calibration of a detailed BES model to measured data using an evidence-based analytical optimisation approach. In: Proceedings of the 12th international IBPSA conference. Sydney, Australia; 2011.
64. K. Lomas, and H. Eppel Sensitivity analysis techniques for building thermal simulation programs Energy Build 19 1992 1 44
65. A. Saltelli, S. Tarantola, F. Campolongo, and M. Ratto Sensitivity analysis in practice: a guide to assessing scientific models 2004 Wiley Hoboken, NJ
66. J.C. Lam, and S.C.M. Hui Sensitivity analysis of energy performance of office buildings Build Environ 31 1996 27 39 (Pubitemid 126399246)
67. B. Eisenhower, and Z. O'Neill Uncertainty and sensitivity decomposition of building energy models J Build Perform Simul 5 2012 37 41
68. Westphal F, Lamberts R. Building simulation calibration using sensitivity analysis. In: Proceedings of the 9th international IBPSA conference. Montréal, Canada; 2005. p. 1331-8.
69. Z. O'Neill, B. Eisenhower, V. Fonoberov, and T. Bailey Calibration of a building energy model considering parametric uncertainty ASHRAE Trans 118 2012, 189-196
70. Y. Heo, R. Choudhary, and G. Augenbroe Calibration of building energy models for retrofit analysis under uncertainty Energy Build 47 2012 550 560
71. T. Booth, R. Choudhary, and D.J. Spiegelhalter A hierarchical Bayesian framework for calibrating micro-level models with macro-level data J Build Perform Simul 6 2013 1 26
72. a. O'Hagan Bayesian analysis of computer code outputs: a tutorial Reliab Eng Syst Saf 91 2006 1290 1300
73. M.C. Kennedy, and A. O'Hagan Bayesian calibration of computer models J R Stat Soc Ser B (Stat Methodol) 63 2001 425 464
74. D. MacKay Bayesian nonlinear modeling for the prediction competition ASHRAE Trans 100 1994 1053 1062
75. J. Sun, and T.A. Reddy Calibration of building energy simulation programs using the analytic optimization approach (RP-1051) HVAC&R Res 12 2006 177 196 (Pubitemid 43323563)
76. A.H. Neto, and F.A.S. Fiorelli Comparison between detailed model simulation and artificial neural network for forecasting building energy consumption Energy Build 40 2008 2169 2176
77. S. Karatasou, M. Santamouris, and V. Geros Modeling and predicting building?s energy use with artificial neural networks: methods and results Energy Build 38 2006 949 958 (Pubitemid 43786232)
78. S.A. Kalogirou, and M. Bojic Artificial neural networks for the prediction of the energy consumption of a passive solar building Energy 25 2000 479 491 (Pubitemid 30586361)
79. G. Mihalakakou, M. Santamouris, and A. Tsangrassoulis On the energy consumption in residential buildings Energy Build 34 2002 727 736 (Pubitemid 34532366)
80. J. Burch, K. Subbarao, A. Lekov, M. Warren, and L. Norford Short-term energy monitoring in a large commercial building ASHRAE Trans 96 1990 1459 1477
81. J. Balcomb, J. Burch, and K. Subbarao Short-term energy monitoring of residences ASHRAE Trans 99 1993 935 944
82. B. Eisenhower, Z. O'Neill, S. Narayanan, V.a. Fonoberov, and I. Mezić A methodology for meta-model based optimization in building energy models Energy Build 47 2012 292 301
83. M. Manfren, N. Aste, and R. Moshksar Calibration and uncertainty analysis for computer models - a meta-model based approach for integrated building energy simulation Appl Energy 103 2013 627 641
84. S. Katipamula, and D. Claridge Use of simplified system models to measure retrofit energy savings J Sol Energy Eng 115 1993 57 68 (Pubitemid 23669178)
85. D. Knebel Simiplified energy analysis using the modified bin method 1983 American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE) Atlanta, GA, USA
86. M. Liu, and D.E. Claridge Use of calibrated HVAC system models to optimize system operation J Sol Energy Eng 120 1998 131 138 (Pubitemid 128651567)
87. G. Goodwin, and R. Payne Dynamic system identification: experiment design and data analysis 1977 Academic Press, Inc San Diego, California
88. L. Ljung System identification: theory for the user 1987 Prentice-Hall Englewood Cliffs, New Jersey 07632
89. Liu S, Henze GP. Calibration of building models for supervisory control of commercial buildings. In: Proceedings of the 9th international building performance simulation association conference. Montréal, Canada; 2005.
90. A. Thumann, and W. Younger Handbook of energy audits 7th ed. 2008 Fairmont Press Lilburn, GA
91. ASHRAE Procedures for commercial building energy audits 2nd ed 2011 American Society of Heating, Refrigerating and Air-Conditioning Engineers Atlanta, GA
92. M. Lyberg Source book for energy auditors vols. 1-2 1987 Swedish Council for Building Research Stockholm, Sweden
93. CEC Guide to preparing feasibility studies of energy efficiency projects 2000 California Energy Commission (CEC) California, USA
94. Ganji AR, Gilleland B. Investment grade energy audit. In: Proceedings of the 25th world energy engineering congress. Atlanta, GA; 2002, p. 1-5.
95. CASCADE Consortium. Deliverable D2.1 CASCADE methodology for energy efficient airports; 2012.
96. J. Adnot Field benchmarking and market development for audit methods in air conditioning (AUDITAC) final report Intell Energy Eur 2007 [Project Report] field benchmarking and market development for Audit methods in air conditioning (AUDITAC) final report, Intelligent Energy Europe; February 2007. 105 pp. Available at: ?http://www.eaci-projects.eu/iee/page/Page.jsp?op=project- detail&prid=1439?
97. Standards Australia. AS/NZ 3598:2000 Australian/New Zealand standard: energy audits. Australia/New Zealand; 2000.
98. ASHRAE. RP-351-energy audit input procedures and forms. Atlanta, GA; 1983.
99. TRC. DOE-2: comparison with measured data: design and operational energy studies in a new high-rise office building. New York, USA; 1984.
100. L.K. Norford, R.H. Socolow, E.S. Hsieh, and G.V. Spadaro Two-to-one discrepancy between measured and predicted performance of a "low- energy" office building: insights from a reconciliation based on the DOE-2 model Energy Build 21 1994 121 131
101. Hunn B, Banks J, Reddy S. Energy analysis of the Texas capitol restoration. Proceedings of the 8th symposium on improving building systems in. hot and humid climate. Dallas, TX; 1992, p. 165-73.
102. Mccray JA, Bailey PL, Parker JL, Gillman R. Using data visualization tools for the calibration of hourly DOE-2. 1 simulations calibration of simulation models. In: Proceedings of the 3rd international IBPSA conference. Madison, WI; 1995. p. 461-6.
103. J.S. Haberl, D.J. Bronson, S.B. Hinchey, and D.L. O'Neal Graphical tools to help calibrate the DOE-2 simulation program to non-weather dependent measured loads ASHRAE J 35 1993 27 32
104. J. Haberl, and M. Abbas Development of graphical indices for viewing building energy data: Part II J Sol Energy Eng 120 1998 162 167 (Pubitemid 128735689)
105. J. Haberl, and M. Abbas Development of graphical indices for viewing building energy data: Part I J Sol Energy Eng 120 1998 156 161 (Pubitemid 128735688)
106. J. Haberl, R. Sparks, and C. Culp Exploring new techniques for displaying complex building energy consumption data Energy Build 24 1996 27 38 (Pubitemid 126339888)
107. Christensen C. Digital and color energy maps for graphic display of hourly data. In: Proceedings of the 9th national passive solar conference, vol. 1. Columbus, Ohio; 1984.
108. Raftery P, Keane M. Visualising patterns in building performance data. In: Proceedings of the 12th international IBPSA conference. Sydney, Australia; 2011.
109. M. Abbas Development of graphical indices for building energy data [M.S. thesis] 1993 Texas A&M University
110. P. Wilde, and W. Tian Identification of key factors for uncertainty in the prediction of the thermal performance of an office building under climate change Build Simul 2 2009 157 174
111. L. Wang, P. Mathew, and X. Pang Uncertainties in energy consumption introduced by building operations and weather for a medium-size office building Energy Build 53 2012 152 158
112. Wei G, Liu M, Claridge D. Signatures of heating and cooling energy consumption for typical AHUs. In: Proceedings of the eleventh symposium on improving building systems in hot and humid climates. Forth Worth, TX; 1998. p. 387-402.
113. F.W. Yu, and K.T. Chan Energy signatures for assessing the energy performance of chillers Energy Build 37 2005 739 746 (Pubitemid 40537194)
114. Liu M, Wei G, Claridge D. Calibrating AHU models using whole building cooling and heating energy consumption data. In: Proceedings of the ACEEE 1998 summer study energy efficient building: vol. 3; 1998. p. 229-41.
115. Parker J, Cropper P, Shao L. A calibrated whole building simulation approach to assessing retrofit options for Birmingham Airport. In: Proceedings of the building simulation and optimization conference. Loughborough, UK; 2012. p. 49-56.
116. D. Monfet, R. Charneux, R. Zmeureanu, and N. Lemire Calibration of a building energy model using measured data ASHRAE Trans 115 2009 348 359
117. A. Saltelli Sensitivity analysis for importance assessment Risk Anal 22 2002 579 590 (Pubitemid 34655124)
118. A. Saltelli Global sensitivity analysis: an introduction 2005 European Commission, Joint Research Centre Ispra, Italy
119. R.H. Henninger, M.J. Witte, and D.B. Crawley Analytical and comparative testing of EnergyPlus using IEA HVAC BESTEST E100-E200 test suite Energy Build 36 2004 855 863
120. E.M. Ryan, and T.F. Sanquist Validation of building energy modeling tools under idealized and realistic conditions Energy Build 47 2012 375 382
121. J. Neymark, R. Judkoff, G. Knabe, H.-T. Le, M. Dürig, and A. Glass Applying the building energy simulation test (BESTEST) diagnostic method to verification of space conditioning equipment models used in whole-building energy simulation programs Energy Build 34 2002 917 931
122. K.J. Lomas, H. Eppel, C.J. Martin, and D.P. Bloomfield Empirical validation of building energy simulation programs Energy Build 26 1997 253 275 (Pubitemid 127412854)
123. Vineeta Pal, Carroll William L, and Norman Bourassa RESEM-CA: Validation and testing, LBNL No. 52003 (HPBCS E2P2.2T2b) 2002 Ernest Orlando Lawrence Berkeley National Laboratory (LBNL) California, USA [see ?http://eetd.lbl.gov/ sites/all/files/publications/lbnl-52003.pdf? ]
124. Carroll WL, Birdsall BE, Hitchcock RJ, Kammerud RC. RESEM: an evaluation tool for energy retrofits in institutional buildings. In: Proceedings of the 1st international IBPSA conference. Vancouver, Canada; 1989.
125. Lavigne K. Assisted calibration in buildings simulation - algorithm description and case studies. In: Proceedings of the 11th international IBPSA conference. Glasgow, Scotland; 2009.
126. I. Turiel, R. Boschen, M. Seedall, and M. Levine Simplified energy analysis methodology for commercial buildings Energy Build 6 1984 67 83 (Pubitemid 14547444)
127. Liu Mingsheng, David E. Claridge, Application of calibrated HVAC system models to identify component malfunctions and to optimize operation and control schedules. In: Solar engineering 1995-proceedings of the 1995, ASME/JSME/JSES international solar energy conference, vol. 1. Maui, Hawaii; March 19-24, 1995. pp. 209-217
128. M. Liu, L. Song, G. Wei, and D.E. Claridge Simplified building and air-handling unit model calibration and applications J Sol Energy Eng 126 2004 601
129. H.A. Nielsen, and H. Madsen Modelling the heat consumption in district heating systems using a grey-box approach Energy Build 38 2006 63 71 (Pubitemid 41454944)