메뉴 건너뛰기




Volumn 149, Issue , 2015, Pages 415-431

A model calibration framework for simultaneous multi-level building energy simulation

Author keywords

Building energy simulation; Energy conservation measures; Model calibration; Multi level

Indexed keywords

BUILDINGS; ENERGY EFFICIENCY; ENERGY UTILIZATION; HISTORIC PRESERVATION; POTENTIAL ENERGY; ZONE MELTING;

EID: 84928309623     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2015.03.048     Document Type: Article
Times cited : (127)

References (62)
  • 4
    • 79955483400 scopus 로고    scopus 로고
    • Experimental analysis of model predictive control for an energy efficient building heating system
    • Široký J., Oldewurtel F., Cigler J., Prívara S. Experimental analysis of model predictive control for an energy efficient building heating system. Appl Energy 2011, 88(9):3079-3087.
    • (2011) Appl Energy , vol.88 , Issue.9 , pp. 3079-3087
    • Široký, J.1    Oldewurtel, F.2    Cigler, J.3    Prívara, S.4
  • 5
    • 84862327947 scopus 로고    scopus 로고
    • A method for assessing buildings' energy efficiency by dynamic simulation and experimental activity
    • Pisello A.L., Goretti M., Cotana F. A method for assessing buildings' energy efficiency by dynamic simulation and experimental activity. Appl Energy 2012, 97:419-429.
    • (2012) Appl Energy , vol.97 , pp. 419-429
    • Pisello, A.L.1    Goretti, M.2    Cotana, F.3
  • 6
    • 84871712232 scopus 로고    scopus 로고
    • Study on performance of energy-efficient retrofitting measures on commercial building external walls in cooling-dominant cities
    • Huang Y., Niu J., Chung T. Study on performance of energy-efficient retrofitting measures on commercial building external walls in cooling-dominant cities. Appl Energy 2013, 103:97-108.
    • (2013) Appl Energy , vol.103 , pp. 97-108
    • Huang, Y.1    Niu, J.2    Chung, T.3
  • 7
    • 80755163211 scopus 로고    scopus 로고
    • Calibrating whole building energy models: detailed case study using hourly measured data
    • Raftery P., Keane M., Costa A. Calibrating whole building energy models: detailed case study using hourly measured data. Energy Build 2011, 43(12):3666-3679.
    • (2011) Energy Build , vol.43 , Issue.12 , pp. 3666-3679
    • Raftery, P.1    Keane, M.2    Costa, A.3
  • 8
    • 84901935343 scopus 로고    scopus 로고
    • Model calibration for building energy efficiency simulation
    • Mustafaraj G., Marini D., Costa A., Keane M. Model calibration for building energy efficiency simulation. Appl Energy 2014, 130:72-85.
    • (2014) Appl Energy , vol.130 , pp. 72-85
    • Mustafaraj, G.1    Marini, D.2    Costa, A.3    Keane, M.4
  • 9
    • 33750302942 scopus 로고    scopus 로고
    • Uncalibrated building energy simulation modeling results
    • Ahmad M., Culp C.H. Uncalibrated building energy simulation modeling results. HVAC&R Res 2006, 12(4):1141-1155.
    • (2006) HVAC&R Res , vol.12 , Issue.4 , pp. 1141-1155
    • Ahmad, M.1    Culp, C.H.2
  • 10
    • 84857063485 scopus 로고    scopus 로고
    • Calibration of building energy models for retrofit analysis under uncertainty
    • Heo Y., Choudhary R., Augenbroe G. Calibration of building energy models for retrofit analysis under uncertainty. Energy Build 2012, 47:550-560.
    • (2012) Energy Build , vol.47 , pp. 550-560
    • Heo, Y.1    Choudhary, R.2    Augenbroe, G.3
  • 11
    • 84871712826 scopus 로고    scopus 로고
    • Calibration and uncertainty analysis for computer models-A meta-model based approach for integrated building energy simulation
    • Manfren M., Aste N., Moshksar R. Calibration and uncertainty analysis for computer models-A meta-model based approach for integrated building energy simulation. Appl Energy 2013, 103:627-641.
    • (2013) Appl Energy , vol.103 , pp. 627-641
    • Manfren, M.1    Aste, N.2    Moshksar, R.3
  • 12
    • 84862336744 scopus 로고    scopus 로고
    • Predicted vs. actual energy performance of non-domestic buildings: using post-occupancy evaluation data to reduce the performance gap
    • Menezes A.C., Cripps A., Bouchlaghem D., Buswell R. Predicted vs. actual energy performance of non-domestic buildings: using post-occupancy evaluation data to reduce the performance gap. Appl Energy 2012, 97:355-364.
    • (2012) Appl Energy , vol.97 , pp. 355-364
    • Menezes, A.C.1    Cripps, A.2    Bouchlaghem, D.3    Buswell, R.4
  • 13
    • 84878876631 scopus 로고    scopus 로고
    • A hierarchical Bayesian framework for calibrating micro-level models with macro-level data
    • Booth A., Choudhary R., Spiegelhalter D. A hierarchical Bayesian framework for calibrating micro-level models with macro-level data. J Build Perform Simulat 2013, 6(4):293-318.
    • (2013) J Build Perform Simulat , vol.6 , Issue.4 , pp. 293-318
    • Booth, A.1    Choudhary, R.2    Spiegelhalter, D.3
  • 15
    • 76549091558 scopus 로고    scopus 로고
    • Overview of HVAC system simulation
    • Trčka M., Hensen J.L. Overview of HVAC system simulation. Autom Constr 2010, 19(2):93-99.
    • (2010) Autom Constr , vol.19 , Issue.2 , pp. 93-99
    • Trčka, M.1    Hensen, J.L.2
  • 16
    • 84899526752 scopus 로고    scopus 로고
    • Data and analytics to inform energy retrofit of high performance buildings
    • Hong T.Z. Data and analytics to inform energy retrofit of high performance buildings. Appl Energy 2014, 126(1):90-106.
    • (2014) Appl Energy , vol.126 , Issue.1 , pp. 90-106
    • Hong, T.Z.1
  • 17
    • 77954028396 scopus 로고    scopus 로고
    • Energy conservation measures in an institutional building in sub-tropical climate in Australia
    • Rahman M.M., Rasul M., Khan M.M.K. Energy conservation measures in an institutional building in sub-tropical climate in Australia. Appl Energy 2010, 87(10):2994-3004.
    • (2010) Appl Energy , vol.87 , Issue.10 , pp. 2994-3004
    • Rahman, M.M.1    Rasul, M.2    Khan, M.M.K.3
  • 18
    • 84890278566 scopus 로고    scopus 로고
    • A review on the basics of building energy estimation
    • Fumo N. A review on the basics of building energy estimation. Renew Sustain Energy Rev 2014, 31:53-60.
    • (2014) Renew Sustain Energy Rev , vol.31 , pp. 53-60
    • Fumo, N.1
  • 19
    • 84901601082 scopus 로고    scopus 로고
    • A review of methods to match building energy simulation models to measured data
    • Coakley D., Raftery P., Keane M. A review of methods to match building energy simulation models to measured data. Renew Sustain Energy Rev 2014, 37:123-141.
    • (2014) Renew Sustain Energy Rev , vol.37 , pp. 123-141
    • Coakley, D.1    Raftery, P.2    Keane, M.3
  • 20
    • 70350586743 scopus 로고    scopus 로고
    • Multiobjective optimization of building design using TRNSYS simulations, genetic algorithm, and Artificial Neural Network
    • Magnier L., Haghighat F. Multiobjective optimization of building design using TRNSYS simulations, genetic algorithm, and Artificial Neural Network. Build Environ 2010, 45(3):739-746.
    • (2010) Build Environ , vol.45 , Issue.3 , pp. 739-746
    • Magnier, L.1    Haghighat, F.2
  • 21
    • 33644639915 scopus 로고    scopus 로고
    • Calibration of building energy simulation programs using the analytic optimization approach (RP-1051)
    • Sun J., Reddy T.A. Calibration of building energy simulation programs using the analytic optimization approach (RP-1051). HVAC&R Res 2006, 12(1):177-196.
    • (2006) HVAC&R Res , vol.12 , Issue.1 , pp. 177-196
    • Sun, J.1    Reddy, T.A.2
  • 23
    • 0033686465 scopus 로고    scopus 로고
    • Applications of artificial neural-networks for energy systems
    • Kalogirou S.A. Applications of artificial neural-networks for energy systems. Appl Energy 2000, 67(1):17-35.
    • (2000) Appl Energy , vol.67 , Issue.1 , pp. 17-35
    • Kalogirou, S.A.1
  • 24
    • 33745872542 scopus 로고    scopus 로고
    • Comparing linear and nonlinear forecasts for Taiwan's electricity consumption
    • Pao H. Comparing linear and nonlinear forecasts for Taiwan's electricity consumption. Energy 2006, 31(12):2129-2141.
    • (2006) Energy , vol.31 , Issue.12 , pp. 2129-2141
    • Pao, H.1
  • 25
    • 0035425552 scopus 로고    scopus 로고
    • Short-term hourly load forecasting using time-series modeling with peak load estimation capability
    • Amjady N. Short-term hourly load forecasting using time-series modeling with peak load estimation capability. Power Syst, IEEE Trans 2001, 16(3):498-505.
    • (2001) Power Syst, IEEE Trans , vol.16 , Issue.3 , pp. 498-505
    • Amjady, N.1
  • 26
    • 52349093047 scopus 로고    scopus 로고
    • Comparison between detailed model simulation and artificial neural network for forecasting building energy consumption
    • Neto A.H., Fiorelli F.A.S. Comparison between detailed model simulation and artificial neural network for forecasting building energy consumption. Energy Build 2008, 40(12):2169-2176.
    • (2008) Energy Build , vol.40 , Issue.12 , pp. 2169-2176
    • Neto, A.H.1    Fiorelli, F.A.S.2
  • 27
    • 73149103462 scopus 로고    scopus 로고
    • Energy efficient fuzzy based combined variable refrigerant volume and variable air volume air conditioning system for buildings
    • Karunakaran R., Iniyan S., Goic R. Energy efficient fuzzy based combined variable refrigerant volume and variable air volume air conditioning system for buildings. Appl Energy 2010, 87(4):1158-1175.
    • (2010) Appl Energy , vol.87 , Issue.4 , pp. 1158-1175
    • Karunakaran, R.1    Iniyan, S.2    Goic, R.3
  • 29
    • 59149084893 scopus 로고    scopus 로고
    • Energy audits in large commercial office buildings
    • Shapiro I. Energy audits in large commercial office buildings. ASHRAE J 2009, 51(1):18.
    • (2009) ASHRAE J , vol.51 , Issue.1 , pp. 18
    • Shapiro, I.1
  • 30
    • 84869787605 scopus 로고    scopus 로고
    • Building simulation calibration using sensitivity analysis
    • Westphal F.S., Lamberts R. Building simulation calibration using sensitivity analysis. Build Simulat 2005, 9:1331-1338.
    • (2005) Build Simulat , vol.9 , pp. 1331-1338
    • Westphal, F.S.1    Lamberts, R.2
  • 31
    • 84863350213 scopus 로고    scopus 로고
    • Simulation-assisted management and control over building energy efficiency-a case study
    • Zhou D., Park S.H. Simulation-assisted management and control over building energy efficiency-a case study. Energy Procedia 2012, 14:592-600.
    • (2012) Energy Procedia , vol.14 , pp. 592-600
    • Zhou, D.1    Park, S.H.2
  • 32
    • 77957711740 scopus 로고    scopus 로고
    • Methodology to estimate building energy consumption using EnergyPlus Benchmark Models
    • Fumo N., Mago P., Luck R. Methodology to estimate building energy consumption using EnergyPlus Benchmark Models. Energy Build 2010, 42(12):2331-2337.
    • (2010) Energy Build , vol.42 , Issue.12 , pp. 2331-2337
    • Fumo, N.1    Mago, P.2    Luck, R.3
  • 34
    • 70449509320 scopus 로고    scopus 로고
    • Calibration of a building energy model using measured data
    • Monfet D., Charneux R., Zmeureanu R., Lemire N. Calibration of a building energy model using measured data. ASHRAE Trans 2009, 115(1).
    • (2009) ASHRAE Trans , vol.115 , Issue.1
    • Monfet, D.1    Charneux, R.2    Zmeureanu, R.3    Lemire, N.4
  • 36
    • 34047251815 scopus 로고    scopus 로고
    • Calibrated building energy simulation and its application in a high-rise commercial building in Shanghai
    • Pan Y., Huang Z., Wu G. Calibrated building energy simulation and its application in a high-rise commercial building in Shanghai. Energy Build 2007, 39(6):651-657.
    • (2007) Energy Build , vol.39 , Issue.6 , pp. 651-657
    • Pan, Y.1    Huang, Z.2    Wu, G.3
  • 37
    • 0041428078 scopus 로고    scopus 로고
    • Calibration procedure for energy performance simulation of a commercial building
    • Yoon J., Lee E., Claridge D. Calibration procedure for energy performance simulation of a commercial building. J Solar Energy Eng 2003, 125(3):251-257.
    • (2003) J Solar Energy Eng , vol.125 , Issue.3 , pp. 251-257
    • Yoon, J.1    Lee, E.2    Claridge, D.3
  • 39
    • 67749091139 scopus 로고    scopus 로고
    • On the application of uncertainty and sensitivity analysis with abstract building performance simulation tools
    • Struck C., Hensen J., Kotek P. On the application of uncertainty and sensitivity analysis with abstract building performance simulation tools. J Build Phys 2009, 33(1):5-27.
    • (2009) J Build Phys , vol.33 , Issue.1 , pp. 5-27
    • Struck, C.1    Hensen, J.2    Kotek, P.3
  • 41
    • 0027071130 scopus 로고
    • Sensitivity analysis techniques for building thermal simulation programs
    • Lomas K.J., Eppel H. Sensitivity analysis techniques for building thermal simulation programs. Energy Build 1992, 19(1):21-44.
    • (1992) Energy Build , vol.19 , Issue.1 , pp. 21-44
    • Lomas, K.J.1    Eppel, H.2
  • 42
    • 34247520494 scopus 로고    scopus 로고
    • Calibrating detailed building energy simulation programs with measured data-Part I: general methodology (RP-1051)
    • Reddy T.A., Maor I., Panjapornpon C. Calibrating detailed building energy simulation programs with measured data-Part I: general methodology (RP-1051). Hvac&R Res 2007, 13(2):221-241.
    • (2007) Hvac&R Res , vol.13 , Issue.2 , pp. 221-241
    • Reddy, T.A.1    Maor, I.2    Panjapornpon, C.3
  • 43
    • 84872050958 scopus 로고    scopus 로고
    • Calibration of a building energy model considering parametric uncertainty
    • O'Neill Z., Eisenhower B., Fonoberov V., Bailey T. Calibration of a building energy model considering parametric uncertainty. ASHRAE Trans 2012, 118(2).
    • (2012) ASHRAE Trans , vol.118 , Issue.2
    • O'Neill, Z.1    Eisenhower, B.2    Fonoberov, V.3    Bailey, T.4
  • 45
    • 0001244976 scopus 로고    scopus 로고
    • Sensitivity analysis as an ingredient of modeling
    • Saltelli A., Tarantola S., Campolongo F. Sensitivity analysis as an ingredient of modeling. Stat Sci 2000, 377-395.
    • (2000) Stat Sci , pp. 377-395
    • Saltelli, A.1    Tarantola, S.2    Campolongo, F.3
  • 46
    • 0036787951 scopus 로고    scopus 로고
    • Analysis of uncertainty in building design evaluations and its implications
    • De Wit S., Augenbroe G. Analysis of uncertainty in building design evaluations and its implications. Energy Build 2002, 34(9):951-958.
    • (2002) Energy Build , vol.34 , Issue.9 , pp. 951-958
    • De Wit, S.1    Augenbroe, G.2
  • 47
    • 84952096573 scopus 로고
    • Factorial sampling plans for preliminary computational experiments
    • Morris M.D. Factorial sampling plans for preliminary computational experiments. Technometrics 1991, 33(2):161-174.
    • (1991) Technometrics , vol.33 , Issue.2 , pp. 161-174
    • Morris, M.D.1
  • 48
    • 84869885122 scopus 로고    scopus 로고
    • Importance of occupancy information for building climate control
    • Oldewurtel F., Sturzenegger D., Morari M. Importance of occupancy information for building climate control. Appl Energy 2013, 101:521-532.
    • (2013) Appl Energy , vol.101 , pp. 521-532
    • Oldewurtel, F.1    Sturzenegger, D.2    Morari, M.3
  • 49
    • 84870610001 scopus 로고    scopus 로고
    • A comprehensive analysis of the impact of occupancy parameters in energy simulation of office buildings
    • Azar E., Menassa C.C. A comprehensive analysis of the impact of occupancy parameters in energy simulation of office buildings. Energy Build 2012, 55:841-853.
    • (2012) Energy Build , vol.55 , pp. 841-853
    • Azar, E.1    Menassa, C.C.2
  • 50
    • 84884193877 scopus 로고    scopus 로고
    • A review on simulation-based optimization methods applied to building performance analysis
    • Nguyen A., Reiter S., Rigo P. A review on simulation-based optimization methods applied to building performance analysis. Appl Energy 2014, 113:1043-1058.
    • (2014) Appl Energy , vol.113 , pp. 1043-1058
    • Nguyen, A.1    Reiter, S.2    Rigo, P.3
  • 51
    • 33644978280 scopus 로고    scopus 로고
    • Evolutionary multi-objective optimization: a historical view of the field
    • Coello Coello C.A. Evolutionary multi-objective optimization: a historical view of the field. Computat Intell Magaz, IEEE 2006, 1(1):28-36.
    • (2006) Computat Intell Magaz, IEEE , vol.1 , Issue.1 , pp. 28-36
    • Coello Coello, C.A.1
  • 52
    • 67650436159 scopus 로고    scopus 로고
    • Accelerating gradient projection methods for ℓ1-constrained signal recovery by step length selection rules
    • Loris I., Bertero M., De Mol C., Zanella R., Zanni L. Accelerating gradient projection methods for ℓ1-constrained signal recovery by step length selection rules. Appl Comput Harmon Anal 2009, 27(2):247-254.
    • (2009) Appl Comput Harmon Anal , vol.27 , Issue.2 , pp. 247-254
    • Loris, I.1    Bertero, M.2    De Mol, C.3    Zanella, R.4    Zanni, L.5
  • 54
    • 0041752417 scopus 로고    scopus 로고
    • American Society of Heating, Ventilating, and Air Conditioning Engineers, Atlanta, Georgia
    • ASHRAE. Guideline 14-2002, Measurement of Energy and Demand Savings. American Society of Heating, Ventilating, and Air Conditioning Engineers, Atlanta, Georgia; 2002.
    • (2002) Guideline 14-2002, Measurement of Energy and Demand Savings
  • 55
    • 0012822638 scopus 로고    scopus 로고
    • Energy Project Financing: Resources and Strategies for Success Lilburn, GA: The Fairmont Press, Inc.
    • Energy, Determining, and Water Savings. International performance measurement & verification protocol. Energy Project Financing: Resources and Strategies for Success Lilburn, GA: The Fairmont Press, Inc.; 2009.
    • (2009) International performance measurement & verification protocol
  • 57
    • 84856411502 scopus 로고    scopus 로고
    • Updated:2014. [accessed 12.01.14].
    • Energy Efficiency and Renewable Energy. EnergyPlus Energy Simulation Software: Weather Data. Updated:2014. [accessed 12.01.14]. http://apps1.eere.energy.gov/buildings/energyplus/weatherdata_about.cfm.
    • EnergyPlus Energy Simulation Software: Weather Data
  • 58
    • 84866250994 scopus 로고    scopus 로고
    • A non-intrusive occupancy monitoring system for demand driven HVAC operations
    • Zheng Yang, Nan Li, Burcin Becerik-Gerber, Michael Orosz A non-intrusive occupancy monitoring system for demand driven HVAC operations. Construct Res Congress 2012, 828-837.
    • (2012) Construct Res Congress , pp. 828-837
    • Zheng, Y.1    Nan, L.2    Burcin, B.-G.3    Michael, O.4
  • 60
    • 84905979634 scopus 로고    scopus 로고
    • A systematic approach to occupancy modeling in ambient sensor-rich buildings
    • Yang Z., Li N., Becerik-Gerber B., Orosz M. A systematic approach to occupancy modeling in ambient sensor-rich buildings. Simulation 2013, 10.1177/0037549713489918.
    • (2013) Simulation
    • Yang, Z.1    Li, N.2    Becerik-Gerber, B.3    Orosz, M.4
  • 61
    • 84928322525 scopus 로고    scopus 로고
    • ANSI/ASHRAE/IES Standard 90.1-2013 Energy Standard for Buildings Except Low-Rise Residential Buildings
    • ASHRAE, ANSI and IES. ANSI/ASHRAE/IES Standard 90.1-2013 Energy Standard for Buildings Except Low-Rise Residential Buildings; 2013.
    • (2013)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.