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Volumn 93, Issue , 2015, Pages 2337-2350

A bottom-up and procedural calibration method for building energy simulation models based on hourly electricity submetering data

Author keywords

Building energy simulation models; Calibration; Cooling heating load; Submetering data

Indexed keywords

AIR CONDITIONING; ARCHITECTURAL DESIGN; BUILDINGS; CALIBRATION; CLIMATE CONTROL; COOLING SYSTEMS; OFFICE BUILDINGS;

EID: 84957930657     PISSN: 03605442     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.energy.2015.10.109     Document Type: Article
Times cited : (28)

References (50)
  • 1
    • 84871557117 scopus 로고    scopus 로고
    • Building energy consumption statistics and computing research in China
    • [1] Wang, Qingyi, Building energy consumption statistics and computing research in China. Energy Conserv Environ Prot 8 (2007), 9–10.
    • (2007) Energy Conserv Environ Prot , vol.8 , pp. 9-10
    • Wang, Q.1
  • 2
    • 84975888391 scopus 로고    scopus 로고
    • Key World Energy Statistics, 2009, IEA.
    • [2] Key World Energy Statistics, 2009, IEA.
  • 3
    • 84959156376 scopus 로고    scopus 로고
    • Buildings energy data book, office of energy efficiency and renewable energy
    • US Department of Energy, 2011
    • [3] DOE, Buildings energy data book, office of energy efficiency and renewable energy. US Department of Energy, 2011, 2010.
    • (2010)
    • DOE1
  • 4
    • 84855440065 scopus 로고    scopus 로고
    • Directive 2010/31/EU of the European Parliament and of the Council of 19 May, 2010 on the energy performance of buildings
    • [4] Council, E.P.A, Directive 2010/31/EU of the European Parliament and of the Council of 19 May, 2010 on the energy performance of buildings. Off J Eur Union, 2010, 13–35.
    • (2010) Off J Eur Union , pp. 13-35
    • Council, E.P.A,1
  • 6
    • 0029476562 scopus 로고
    • Validation of an algorithm to disaggregate whole-building hourly electrical load into end uses
    • [6] Akbari, H., Validation of an algorithm to disaggregate whole-building hourly electrical load into end uses. Energy 20 (1995), 1291–1301.
    • (1995) Energy , vol.20 , pp. 1291-1301
    • Akbari, H.1
  • 7
    • 33645388374 scopus 로고    scopus 로고
    • Experimental estimation of building energy performance by robust regression
    • [7] Ghiaus, C., Experimental estimation of building energy performance by robust regression. Energy Build 38:6 (2006), 582–587.
    • (2006) Energy Build , vol.38 , Issue.6 , pp. 582-587
    • Ghiaus, C.1
  • 8
    • 84871712826 scopus 로고    scopus 로고
    • Calibration and uncertainty analysis for computer models – a meta-model based approach for integrated building energy simulation
    • [8] Manfren, Massimiliano, Aste, Niccolò, Moshksar, Reza, Calibration and uncertainty analysis for computer models – a meta-model based approach for integrated building energy simulation. Appl Energy 103 (2013), 627–641.
    • (2013) Appl Energy , vol.103 , pp. 627-641
    • Manfren, M.1    Aste, N.2    Moshksar, R.3
  • 9
    • 44449103194 scopus 로고    scopus 로고
    • Annual electricity consumption forecasting by neural network in high energy consuming industrial sectors
    • [9] Azadeh, A., Ghaderi, S.F., Sohrabkhani, S., Annual electricity consumption forecasting by neural network in high energy consuming industrial sectors. Energy Convers Manag 49:8 (2008), 2272–2278.
    • (2008) Energy Convers Manag , vol.49 , Issue.8 , pp. 2272-2278
    • Azadeh, A.1    Ghaderi, S.F.2    Sohrabkhani, S.3
  • 10
    • 60249090242 scopus 로고    scopus 로고
    • Prediction of building energy consumption by using artificial neural networks
    • [10] Ekici, Betul Bektas, Aksoy, U. Teoman, Prediction of building energy consumption by using artificial neural networks. Adv Eng Softw 40 (2009), 356–362.
    • (2009) Adv Eng Softw , vol.40 , pp. 356-362
    • Ekici, B.B.1    Aksoy, U.T.2
  • 11
    • 70350586743 scopus 로고    scopus 로고
    • Multiobjective optimization of building design using genetic algorithm and artificial neural network
    • [11] Magnier, L., Haghighat, F., Multiobjective optimization of building design using genetic algorithm and artificial neural network. Build Environ 45 (2010), 739–746.
    • (2010) Build Environ , vol.45 , pp. 739-746
    • Magnier, L.1    Haghighat, F.2
  • 12
    • 9244240793 scopus 로고    scopus 로고
    • Load forecasting using support vector machine: a study on EUNITE competition 2001
    • [12] Bo-Juen, Chang Ming-Wei, Lin, C.-J., Load forecasting using support vector machine: a study on EUNITE competition 2001. IEEE Trans Syst 19:4 (2004), 1821–1830.
    • (2004) IEEE Trans Syst , vol.19 , Issue.4 , pp. 1821-1830
    • Bo-Juen, C.M.-W.1    Lin, C.-J.2
  • 13
    • 13244270060 scopus 로고    scopus 로고
    • Applying support vector machines to predict building energy consumption in tropical region
    • [13] Dong, B., Cao, C., Lee, S.E., Applying support vector machines to predict building energy consumption in tropical region. Energy Build 37:5 (2005), 545–553.
    • (2005) Energy Build , vol.37 , Issue.5 , pp. 545-553
    • Dong, B.1    Cao, C.2    Lee, S.E.3
  • 14
    • 64849083683 scopus 로고    scopus 로고
    • Applying support vector machine to predict hourly cooling load in the building
    • [14] Qiong, Li, Qinglin, Meng, Jiejin, Cai, Hiroshi, Yoshino, Akashi, Mochida, Applying support vector machine to predict hourly cooling load in the building. Appl Energy 86:10 (2009), 2249–2256.
    • (2009) Appl Energy , vol.86 , Issue.10 , pp. 2249-2256
    • Qiong, L.1    Qinglin, M.2    Jiejin, C.3    Hiroshi, Y.4    Akashi, M.5
  • 15
    • 0027549823 scopus 로고
    • Decision tree approach to power systems security assessment
    • [15] Wehenkel, L., Pavella, M., Decision tree approach to power systems security assessment. Int J Electr Power Energy Syst 15:1 (1993), 13–36.
    • (1993) Int J Electr Power Energy Syst , vol.15 , Issue.1 , pp. 13-36
    • Wehenkel, L.1    Pavella, M.2
  • 16
    • 77955585423 scopus 로고    scopus 로고
    • A decision tree method for building energy demand modeling
    • [16] Yu, Zhun, Haghighat, Fariborz, Fung, Benjamin C.M., Yoshino, Hiroshi, A decision tree method for building energy demand modeling. Energy Build 42 (2010), 1637–1646.
    • (2010) Energy Build , vol.42 , pp. 1637-1646
    • Yu, Z.1    Haghighat, F.2    Fung, B.C.M.3    Yoshino, H.4
  • 17
    • 33747006652 scopus 로고
    • A fourier series approach to predict hourly heating and cooling energy use in commercial buildings with outdoor temperature as the only weather variable
    • Accepted for publication in ASME Journal of Solar Energy Engineering
    • [17] Dhar, A., Reddy, T.A., Claridge, D., A fourier series approach to predict hourly heating and cooling energy use in commercial buildings with outdoor temperature as the only weather variable. ASME/JSME/JSES International solar energy Conference, Mawuii, Mar. 27-30, vol. 1, 1995, 125–134 Accepted for publication in ASME Journal of Solar Energy Engineering.
    • (1995) ASME/JSME/JSES International solar energy Conference, Mawuii, Mar. 27-30 , vol.vol. 1 , pp. 125-134
    • Dhar, A.1    Reddy, T.A.2    Claridge, D.3
  • 18
    • 0033075597 scopus 로고    scopus 로고
    • Generalization of the fourier series approach to model hourly energy use in commercial buildings
    • February
    • [18] Dhar, A., Reddy, T.A., Claridge, D., Generalization of the fourier series approach to model hourly energy use in commercial buildings. Trans ASME, 121, February 1999, 54.
    • (1999) Trans ASME , vol.121 , pp. 54
    • Dhar, A.1    Reddy, T.A.2    Claridge, D.3
  • 19
    • 84927152990 scopus 로고    scopus 로고
    • HVAC terminal hourly end-use disaggregation in commercial buildings with Fourier series model
    • [19] Ji, Ying, Xu, Peng, Ye, Yunyang, HVAC terminal hourly end-use disaggregation in commercial buildings with Fourier series model. Energy Build 97 (2015), 33–46.
    • (2015) Energy Build , vol.97 , pp. 33-46
    • Ji, Y.1    Xu, P.2    Ye, Y.3
  • 20
    • 38949180625 scopus 로고    scopus 로고
    • Simulation and experimental validation of the variable-refrigerant-volume (VRV) air-conditioning system in EnergyPlus
    • [20] Zhou, Y.P., Wu, J.Y., Wang, R.Z., Shiochi, S., Li, Y.M., Simulation and experimental validation of the variable-refrigerant-volume (VRV) air-conditioning system in EnergyPlus. Energy Build 40:6 (2008), 1041–1047.
    • (2008) Energy Build , vol.40 , Issue.6 , pp. 1041-1047
    • Zhou, Y.P.1    Wu, J.Y.2    Wang, R.Z.3    Shiochi, S.4    Li, Y.M.5
  • 21
    • 38949103024 scopus 로고    scopus 로고
    • Simulation of energy consumption for Kuwaiti domestic buildings
    • [21] Al-ajmi, F.F., Hanby, V.I., Simulation of energy consumption for Kuwaiti domestic buildings. Energy Build 40:6 (2008), 1101–1109.
    • (2008) Energy Build , vol.40 , Issue.6 , pp. 1101-1109
    • Al-ajmi, F.F.1    Hanby, V.I.2
  • 22
    • 84887154819 scopus 로고    scopus 로고
    • Model-based real-time whole building energy performance monitoring and diagnostics
    • [22] O'Neilla, Zheng, Pang, Xiufeng, Shashanka, Madhusudana, Haves, Philip, Bailey, Trevor, Model-based real-time whole building energy performance monitoring and diagnostics. J Build Perform Simul 7:2 (2014), 83–99.
    • (2014) J Build Perform Simul , vol.7 , Issue.2 , pp. 83-99
    • O'Neilla, Z.1    Pang, X.2    Shashanka, M.3    Haves, P.4    Bailey, T.5
  • 23
    • 0013123123 scopus 로고
    • DOE-2 supplement: version 2.1 e. LBL-34947
    • Calif Lawrence Berkeley Lab Berkeley
    • [23] Winkelmann, F., Birdsall, B., Buhl, W., DOE-2 supplement: version 2.1 e. LBL-34947. 1993, Calif Lawrence Berkeley Lab, Berkeley.
    • (1993)
    • Winkelmann, F.1    Birdsall, B.2    Buhl, W.3
  • 24
    • 84975863419 scopus 로고    scopus 로고
    • ESRU. ESP-r. [accessed 05.12.09.].
    • [24] ESRU. ESP-r. [accessed 05.12.09.]. http://www.esru.strath.ac.uk/.
  • 25
    • 84975891544 scopus 로고    scopus 로고
    • USDE. 2009a. “EnergyPlus testing and validation, Department Energy, USA.” [accessed 06.12.09].
    • [25] USDE. 2009a. “EnergyPlus testing and validation, Department Energy, USA.” [accessed 06.12.09]. http://apps1.eere.energy.gov/buildings/energyplus.
  • 26
    • 84975864439 scopus 로고    scopus 로고
    • TRNSYS version 17.02 user manual and documentation, solar energy laboratory, mechanical engineering department
    • University of Wisconsin May Madison, WI May
    • [26] Solar Energy Laboratory, TRNSYS version 17.02 user manual and documentation, solar energy laboratory, mechanical engineering department. May 2014, University of Wisconsin, Madison, WI.
    • (2014)
    • Solar Energy Laboratory1
  • 27
    • 84975818368 scopus 로고    scopus 로고
    • IEA ECBCS Annex 53, Annex 53 total energy use in buildings: analysis & evaluation methods,.
    • [27] IEA ECBCS Annex 53, Annex 53 total energy use in buildings: analysis & evaluation methods, www.ecbcsa53.org.
  • 28
    • 84975872645 scopus 로고    scopus 로고
    • Energy Efficiency Verification Specialists, International Performance Measurement and Verification Protocol (IPMVP), 2002.
    • [28] Energy Efficiency Verification Specialists, International Performance Measurement and Verification Protocol (IPMVP), 2002.
  • 29
    • 0041752417 scopus 로고    scopus 로고
    • ASHRAE guideline 14–2002, measurement of energy and demand savings
    • [29] ASHRAE, ASHRAE guideline 14–2002, measurement of energy and demand savings. 2002.
    • (2002)
    • ASHRAE1
  • 30
    • 79957522310 scopus 로고    scopus 로고
    • Building performance simulation for design and operation
    • Published by Spon Press
    • [30] Hensen, Jan L.M., Lamberts, Roberto, Building performance simulation for design and operation. 2011, Published by Spon Press.
    • (2011)
    • Hensen, J.L.M.1    Lamberts, R.2
  • 31
    • 0027812532 scopus 로고
    • Tuning simulated building descriptions to match actual utility data: methods and implementation
    • [31] Carroll, W.L., Hitchcock, R.J., Tuning simulated building descriptions to match actual utility data: methods and implementation. ASHRAE Trans 99 (1993), 928–934.
    • (1993) ASHRAE Trans , vol.99 , pp. 928-934
    • Carroll, W.L.1    Hitchcock, R.J.2
  • 32
    • 84870168830 scopus 로고    scopus 로고
    • Assisted calibration in building simulation–algorithm description and case studies
    • July 27-30,
    • [32] Lavigne, Karine, Assisted calibration in building simulation–algorithm description and case studies. Eleventh International IBPSA Conference, Glasgow, Scotland, July 27-30, 2009.
    • (2009) Eleventh International IBPSA Conference, Glasgow, Scotland
    • Lavigne, K.1
  • 33
    • 84870618743 scopus 로고    scopus 로고
    • Quantitative energy performance assessment methods for existing buildings
    • [33] Wang, Shengwei, Yan, Chengchu, Xiao, Fu, Quantitative energy performance assessment methods for existing buildings. Energy Build 55 (2012), 873–888.
    • (2012) Energy Build , vol.55 , pp. 873-888
    • Wang, S.1    Yan, C.2    Xiao, F.3
  • 34
    • 34548259330 scopus 로고    scopus 로고
    • Measured and predicted energy demand of a low energy building: important aspects when using building energy simulation
    • [34] Karlsson, F., Rohdin, P., Persson, M.L., 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.
    • (2007) Build Serv Eng Res Technol , vol.28 , pp. 223-235
    • Karlsson, F.1    Rohdin, P.2    Persson, M.L.3
  • 35
    • 64549115173 scopus 로고    scopus 로고
    • Energy performance of LEED for new construction buildings
    • New Buildings Institute Washington, DC
    • [35] Turner, C., Frankel, M., Energy performance of LEED for new construction buildings. 2008, New Buildings Institute, Washington, DC.
    • (2008)
    • Turner, C.1    Frankel, M.2
  • 36
    • 71749087674 scopus 로고    scopus 로고
    • Do LEED-certified buildings save energy? Not really…
    • [36] Scofield, J.H., Do LEED-certified buildings save energy? Not really…. Energy Build 41 (2009), 1386–1390.
    • (2009) Energy Build , vol.41 , pp. 1386-1390
    • Scofield, J.H.1
  • 37
    • 84901601082 scopus 로고    scopus 로고
    • A review of methods to match building energy simulation models to measured data
    • [37] Coakley, Daniel, Raftery, Paul, Keane, Marcus, A review of methods to match building energy simulation models to measured data. Renew Sustain Energy Rev 37 (2014), 123–141.
    • (2014) Renew Sustain Energy Rev , vol.37 , pp. 123-141
    • Coakley, D.1    Raftery, P.2    Keane, M.3
  • 38
    • 0036680550 scopus 로고    scopus 로고
    • A methodology for building energy modelling and calibration in warm climates
    • [38] Pedrini, A., Westphal, F.S., Lamberts, R., A methodology for building energy modelling and calibration in warm climates. Build Environ 37 (2002), 903–912.
    • (2002) Build Environ , vol.37 , pp. 903-912
    • Pedrini, A.1    Westphal, F.S.2    Lamberts, R.3
  • 39
    • 84924761026 scopus 로고    scopus 로고
    • Tony Roskilly. Building model calibration using energy and environmental data
    • [39] Royapoor, Mohammad, Tony Roskilly. Building model calibration using energy and environmental data. Energy Build 94 (2015), 109–120.
    • (2015) Energy Build , vol.94 , pp. 109-120
    • Royapoor, M.1
  • 40
    • 84869742238 scopus 로고    scopus 로고
    • Calibration of building models for supervisory control of commercial buildings
    • August 15-18,
    • [40] Liu, Simeng, Gregor, P. Henze, Calibration of building models for supervisory control of commercial buildings. Ninth International IBPSA Conference. Montréal, Canada, August 15-18, 2005.
    • (2005) Ninth International IBPSA Conference. Montréal, Canada
    • Liu, S.1    Gregor, P.H.2
  • 41
    • 84975864408 scopus 로고    scopus 로고
    • Procedures for reconciling computer-calculated results with measured energy data
    • ASHRAE Research Project 1051- RP
    • [41] Agami Reddy, T., Maor, Itzhak, Procedures for reconciling computer-calculated results with measured energy data. ASHRAE Research Project 1051- RP, 2006.
    • (2006)
    • Agami Reddy, T.1    Maor, I.2
  • 42
    • 80755163211 scopus 로고    scopus 로고
    • Calibrating whole building energy models: detailed case study using hourly measured data
    • [42] Raftery, Paul, Keane, Marcus, Costa, Andrea, Calibrating whole building energy models: detailed case study using hourly measured data. Energy Build 43 (2011), 3666–3679.
    • (2011) Energy Build , vol.43 , pp. 3666-3679
    • Raftery, P.1    Keane, M.2    Costa, A.3
  • 43
    • 84893961114 scopus 로고    scopus 로고
    • Signature analysis calibration of a school energy model using hourly data
    • [43] Kandil, Alaa-Eldin, Love, James A., Signature analysis calibration of a school energy model using hourly data. J Build Perform Simul 7:5 (2014), 326–345.
    • (2014) J Build Perform Simul , vol.7 , Issue.5 , pp. 326-345
    • Kandil, A.-E.1    Love, J.A.2
  • 44
    • 84926246262 scopus 로고    scopus 로고
    • EnergyPlus model-based predictive control within design–build–operate energy information modelling infrastructure
    • [44] Zhao, Jie, Lam, Khee Poh, Ydstie, B. Erik, Karaguzel, Omer T., EnergyPlus model-based predictive control within design–build–operate energy information modelling infrastructure. J Build Perform Simul 8:3 (2015), 121–134.
    • (2015) J Build Perform Simul , vol.8 , Issue.3 , pp. 121-134
    • Zhao, J.1    Lam, K.P.2    Ydstie, B.E.3    Karaguzel, O.T.4
  • 45
    • 0032677814 scopus 로고    scopus 로고
    • Envelope and indoor thermal capacitance of buildings
    • [45] Antonopoulos, K.A., Koronaki, E., Envelope and indoor thermal capacitance of buildings. Appl Therm Eng 19 (1999), 743–756.
    • (1999) Appl Therm Eng , vol.19 , pp. 743-756
    • Antonopoulos, K.A.1    Koronaki, E.2
  • 46
    • 84863528945 scopus 로고    scopus 로고
    • Calculation of indoor air temperature and analysis of relative factors in natural ventilated buildings coupled with thermal mass
    • PhD thesis Hunan University [In Chinese]
    • [46] Zhou, Junli, Calculation of indoor air temperature and analysis of relative factors in natural ventilated buildings coupled with thermal mass. PhD thesis, 2009, Hunan University [In Chinese].
    • (2009)
    • Zhou, J.1
  • 48
    • 0348250107 scopus 로고    scopus 로고
    • Energy impacts of infiltration and ventilation in US office buildings using multizone airflow simulation
    • [48] Emmerich, S.J., Persily, A.K., Energy impacts of infiltration and ventilation in US office buildings using multizone airflow simulation. Proc IAQ Energy 98 (1998), 191–206.
    • (1998) Proc IAQ Energy , vol.98 , pp. 191-206
    • Emmerich, S.J.1    Persily, A.K.2
  • 49
    • 33645392733 scopus 로고    scopus 로고
    • Parameter estimation of internal thermal mass of building dynamic models using genetic algorithm
    • [49] Wang, Shengwei, Xu, Xinhua, Parameter estimation of internal thermal mass of building dynamic models using genetic algorithm. Energy Convers Manag 47 (2006), 1927–1941.
    • (2006) Energy Convers Manag , vol.47 , pp. 1927-1941
    • Wang, S.1    Xu, X.2
  • 50
    • 84919800452 scopus 로고    scopus 로고
    • Improving infiltration modeling in commercial building energy models
    • [50] Ng, Lisa C., Persily, Andrew K., Emmerich, Steven J., Improving infiltration modeling in commercial building energy models. Energy Build 88 (2015), 316–323.
    • (2015) Energy Build , vol.88 , pp. 316-323
    • Ng, L.C.1    Persily, A.K.2    Emmerich, S.J.3


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