메뉴 건너뛰기




Volumn 169, Issue , 2016, Pages 14-27

Methodology of comprehensive building energy performance diagnosis for large commercial buildings at multiple levels

Author keywords

Building energy performance; Fault detection and diagnostics; Multiple level diagnosis; Sub metering

Indexed keywords

BUILDINGS; ENERGY EFFICIENCY; ENERGY MANAGEMENT SYSTEMS; ENERGY UTILIZATION; FAULT DETECTION; INFORMATION MANAGEMENT; OFFICE BUILDINGS; REPAIR;

EID: 84957889683     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2016.01.054     Document Type: Article
Times cited : (53)

References (45)
  • 1
    • 77951452384 scopus 로고    scopus 로고
    • Key world energy statistics
    • IEA. Key world energy statistics; 2014.
    • (2014)
  • 2
    • 84858067620 scopus 로고    scopus 로고
    • Building energy data book 2011
    • U.S. Department of Energy. Building energy data book 2011; 2012.
    • (2012)
  • 3
    • 84879714456 scopus 로고    scopus 로고
    • Energy efficiency in buildings in EU countries
    • Friedrich S. Energy efficiency in buildings in EU countries. DICE Report 2013, 11:57-59.
    • (2013) DICE Report , vol.11 , pp. 57-59
    • Friedrich, S.1
  • 5
    • 14544268558 scopus 로고    scopus 로고
    • Methods for fault detection, diagnostics, and prognostics for building systems - a review, Part I
    • Katipamula S., Brambley M.R. Methods for fault detection, diagnostics, and prognostics for building systems - a review, Part I. HVAC&R Res 2005, 11:3-25.
    • (2005) HVAC&R Res , vol.11 , pp. 3-25
    • Katipamula, S.1    Brambley, M.R.2
  • 6
    • 24744433957 scopus 로고    scopus 로고
    • Benchmarking the energy efficiency of commercial buildings
    • Chung W., Hui Y.V., Lam Y.M. Benchmarking the energy efficiency of commercial buildings. Appl Energy 2006, 83:1-14.
    • (2006) Appl Energy , vol.83 , pp. 1-14
    • Chung, W.1    Hui, Y.V.2    Lam, Y.M.3
  • 7
    • 84870618743 scopus 로고    scopus 로고
    • Quantitative energy performance assessment methods for existing buildings
    • Wang S.W., Yan C.C., Xiao F. Quantitative energy performance assessment methods for existing buildings. Energy Build 2012, 55:873-888.
    • (2012) Energy Build , vol.55 , pp. 873-888
    • Wang, S.W.1    Yan, C.C.2    Xiao, F.3
  • 8
    • 25844500264 scopus 로고    scopus 로고
    • On-line building energy prediction using adaptive artificial neural networks
    • Yang J., Rivard H., Zmeureanu R. On-line building energy prediction using adaptive artificial neural networks. Energy Build 2005, 37:1250-1259.
    • (2005) Energy Build , vol.37 , pp. 1250-1259
    • Yang, J.1    Rivard, H.2    Zmeureanu, R.3
  • 9
    • 13244270060 scopus 로고    scopus 로고
    • Applying support vector machines to predict building energy consumption in tropical region
    • Dong B., Cao C., Lee S.E. Applying support vector machines to predict building energy consumption in tropical region. Energy Build 2005, 37:545-553.
    • (2005) Energy Build , vol.37 , pp. 545-553
    • Dong, B.1    Cao, C.2    Lee, S.E.3
  • 10
    • 84905828118 scopus 로고    scopus 로고
    • Integrated and multi-hour optimization of office building energy consumption and expenditure
    • Aria H., Akbari H. Integrated and multi-hour optimization of office building energy consumption and expenditure. Energy Build 2014, 82:391-398.
    • (2014) Energy Build , vol.82 , pp. 391-398
    • Aria, H.1    Akbari, H.2
  • 11
    • 79960737556 scopus 로고    scopus 로고
    • Establishment and validation of modified star-type RC-network model for concrete core cooling slab
    • Liu K.X., Tian Z., Zhang C., Ding Y., Wang W.L. Establishment and validation of modified star-type RC-network model for concrete core cooling slab. Energy Build 2011, 43:2378-2384.
    • (2011) Energy Build , vol.43 , pp. 2378-2384
    • Liu, K.X.1    Tian, Z.2    Zhang, C.3    Ding, Y.4    Wang, W.L.5
  • 12
    • 84902205261 scopus 로고    scopus 로고
    • Review of building energy modeling for control and operation
    • Li X., Wen J. Review of building energy modeling for control and operation. Renew Sustain Energy Rev 2014, 37(3):517-537.
    • (2014) Renew Sustain Energy Rev , vol.37 , Issue.3 , pp. 517-537
    • Li, X.1    Wen, J.2
  • 13
    • 84954142069 scopus 로고    scopus 로고
    • Developing a whole building cooling energy forecasting model for on-line operation optimization using proactive system identification
    • Li X., Wen J., Bai E. Developing a whole building cooling energy forecasting model for on-line operation optimization using proactive system identification. Appl Energy 2016, 164:69-88.
    • (2016) Appl Energy , vol.164 , pp. 69-88
    • Li, X.1    Wen, J.2    Bai, E.3
  • 14
    • 84926421788 scopus 로고    scopus 로고
    • A multi-level energy performance diagnosis method for energy information poor buildings
    • Yan C.C., Wang S.W., Xiao F., Gao D.C. A multi-level energy performance diagnosis method for energy information poor buildings. Energy 2015, 83:189-203.
    • (2015) Energy , vol.83 , pp. 189-203
    • Yan, C.C.1    Wang, S.W.2    Xiao, F.3    Gao, D.C.4
  • 15
    • 84870577507 scopus 로고    scopus 로고
    • Development and testing of an automated building commissioning analysis tool (ABCAT)
    • Bynum J.D., Claridge D.E., Curtin J.M. Development and testing of an automated building commissioning analysis tool (ABCAT). Energy Build 2012, 55:607-617.
    • (2012) Energy Build , vol.55 , pp. 607-617
    • Bynum, J.D.1    Claridge, D.E.2    Curtin, J.M.3
  • 17
    • 84869871543 scopus 로고    scopus 로고
    • Building operation and energy performance: monitoring, analysis and optimisation toolkit
    • Costa A., Keane M.M., Torrens J.I., Corry E. Building operation and energy performance: monitoring, analysis and optimisation toolkit. Appl Energy 2013, 101:310-316.
    • (2013) Appl Energy , vol.101 , pp. 310-316
    • Costa, A.1    Keane, M.M.2    Torrens, J.I.3    Corry, E.4
  • 18
    • 77953741930 scopus 로고    scopus 로고
    • Development and testing of an automated building commissioning analysis tool (ABCAT)
    • MS thesis, Texas A&M University, College Station, TX;
    • Curtin JM. Development and testing of an automated building commissioning analysis tool (ABCAT), MS thesis, Texas A&M University, College Station, TX; 2007.
    • (2007)
    • Curtin, J.M.1
  • 19
    • 84886515282 scopus 로고    scopus 로고
    • A statistical approach to detect abnormal building energy consumption with ABCAT
    • Lin G.J., Claridge D.E. A statistical approach to detect abnormal building energy consumption with ABCAT. Ashrae Tran 2013, 119:54-62.
    • (2013) Ashrae Tran , vol.119 , pp. 54-62
    • Lin, G.J.1    Claridge, D.E.2
  • 21
    • 84957930653 scopus 로고    scopus 로고
    • Project 2.6-Enhancement of the whole-building diagnostician task 2.6.10-whole-building energy enhancement report
    • Pacific Northwest National Laboratory; 2003. Report No.: PNNL14383.
    • Chassin D, Carlon T, Gowri K. Project 2.6-Enhancement of the whole-building diagnostician task 2.6.10-whole-building energy enhancement report. Pacific Northwest National Laboratory; 2003. Report No.: PNNL14383.
    • Chassin, D.1    Carlon, T.2    Gowri, K.3
  • 22
    • 84954389072 scopus 로고    scopus 로고
    • A system-level fault detection and diagnosis method for low delta-syndrome in the complex HVAC systems
    • Gao D.C., Wang S., Shan K., Yan C. A system-level fault detection and diagnosis method for low delta-syndrome in the complex HVAC systems. Appl Energy 2016, 164:1028-1038.
    • (2016) Appl Energy , vol.164 , pp. 1028-1038
    • Gao, D.C.1    Wang, S.2    Shan, K.3    Yan, C.4
  • 23
    • 84896982375 scopus 로고    scopus 로고
    • Robust on-line fault detection diagnosis for HVAC components based on nonlinear state estimation techniques
    • Bonvini M., Sohn M.D., Granderson J., Wetter M., Piette M.A. Robust on-line fault detection diagnosis for HVAC components based on nonlinear state estimation techniques. Appl Energy 2014, 124:156-166.
    • (2014) Appl Energy , vol.124 , pp. 156-166
    • Bonvini, M.1    Sohn, M.D.2    Granderson, J.3    Wetter, M.4    Piette, M.A.5
  • 24
    • 37849186514 scopus 로고    scopus 로고
    • Using intelligent data analysis to detect abnormal energy consumption in buildings
    • Seem J.E. Using intelligent data analysis to detect abnormal energy consumption in buildings. Energy Build 2007, 39:52-58.
    • (2007) Energy Build , vol.39 , pp. 52-58
    • Seem, J.E.1
  • 25
    • 84870730207 scopus 로고    scopus 로고
    • Monitoring-based HVAC commissioning of an existing office building for energy efficiency
    • Wang L.P., Greenberg S., Fiegel J., Rubalcava A., Earni S., Pang X.F., et al. Monitoring-based HVAC commissioning of an existing office building for energy efficiency. Appl Energy 2013, 102:1382-1390.
    • (2013) Appl Energy , vol.102 , pp. 1382-1390
    • Wang, L.P.1    Greenberg, S.2    Fiegel, J.3    Rubalcava, A.4    Earni, S.5    Pang, X.F.6
  • 26
    • 84897823685 scopus 로고    scopus 로고
    • Fault detection analysis of building energy consumption using data mining techniques
    • Khan I., Capozzoli A., Corgnati S.P., Cerquitelli T. Fault detection analysis of building energy consumption using data mining techniques. Energy Proced 2013, 42:557-566.
    • (2013) Energy Proced , vol.42 , pp. 557-566
    • Khan, I.1    Capozzoli, A.2    Corgnati, S.P.3    Cerquitelli, T.4
  • 27
    • 0035043851 scopus 로고    scopus 로고
    • Assessing building performance in use 1: the Probe process
    • Cohen R., Standeven M., Bordass B., Leaman A. Assessing building performance in use 1: the Probe process. Build Res Inform 2001, 29:85-102.
    • (2001) Build Res Inform , vol.29 , pp. 85-102
    • Cohen, R.1    Standeven, M.2    Bordass, B.3    Leaman, A.4
  • 28
    • 0030672205 scopus 로고    scopus 로고
    • Energy performance of occupied non-domestic buildings: assessment by analyzing end-use energy consumptions
    • Field J., Soper J., Jones P., Bordass W., Grigg P. Energy performance of occupied non-domestic buildings: assessment by analyzing end-use energy consumptions. Build Serv Eng Res Technol 1997, 18:39-146.
    • (1997) Build Serv Eng Res Technol , vol.18 , pp. 39-146
    • Field, J.1    Soper, J.2    Jones, P.3    Bordass, W.4    Grigg, P.5
  • 29
    • 22144480628 scopus 로고    scopus 로고
    • Sensor-fault detection, diagnosis and estimation for centrifugal chiller systems using principal-component analysis method
    • Wang S., Cui J. Sensor-fault detection, diagnosis and estimation for centrifugal chiller systems using principal-component analysis method. Appl Energy 2005, 82(3):197-213.
    • (2005) Appl Energy , vol.82 , Issue.3 , pp. 197-213
    • Wang, S.1    Cui, J.2
  • 30
    • 63449107930 scopus 로고    scopus 로고
    • Fault diagnosis for temperature, flow rate and pressure sensors in VAV systems using wavelet neural network
    • Du Z., Jin X., Yang Y. Fault diagnosis for temperature, flow rate and pressure sensors in VAV systems using wavelet neural network. Appl Energy 2009, 86(9):1624-1631.
    • (2009) Appl Energy , vol.86 , Issue.9 , pp. 1624-1631
    • Du, Z.1    Jin, X.2    Yang, Y.3
  • 31
    • 0036165745 scopus 로고    scopus 로고
    • Demonstration of fault detection and diagnosis methods for air-handling units
    • Norford L.K., Wright J.A., Buswell R.A., et al. Demonstration of fault detection and diagnosis methods for air-handling units. HVAC&R Res 2002, 8(1):41-71.
    • (2002) HVAC&R Res , vol.8 , Issue.1 , pp. 41-71
    • Norford, L.K.1    Wright, J.A.2    Buswell, R.A.3
  • 32
    • 0036162646 scopus 로고    scopus 로고
    • Detection and diagnosis of HVAC faults via electrical load monitoring
    • Shaw S.R., Norford L.K., Luo D., et al. Detection and diagnosis of HVAC faults via electrical load monitoring. HVAC&R Res 2002, 8(1):13-40.
    • (2002) HVAC&R Res , vol.8 , Issue.1 , pp. 13-40
    • Shaw, S.R.1    Norford, L.K.2    Luo, D.3
  • 33
    • 33644645994 scopus 로고    scopus 로고
    • Detection of rooftop cooling unit faults based on electrical measurements
    • Armstrong P.R., Laughman C.R., Leeb S.B., Norford L.K. Detection of rooftop cooling unit faults based on electrical measurements. HVAC&R Res 2006, 12(1):151-175.
    • (2006) HVAC&R Res , vol.12 , Issue.1 , pp. 151-175
    • Armstrong, P.R.1    Laughman, C.R.2    Leeb, S.B.3    Norford, L.K.4
  • 34
    • 0026970695 scopus 로고
    • Nonintrusive appliance load monitoring
    • Hart G.W. Nonintrusive appliance load monitoring. Proc IEEE 1992, 80:1870-1891.
    • (1992) Proc IEEE , vol.80 , pp. 1870-1891
    • Hart, G.W.1
  • 35
    • 85021226988 scopus 로고    scopus 로고
    • Guide to the implementation of tenant submetering and billing for commercial buildings in Northern California
    • California T.B.O.A.M.A.O. Guide to the implementation of tenant submetering and billing for commercial buildings in Northern California; 2008.
    • (2008)
  • 36
    • 85021231079 scopus 로고    scopus 로고
    • Federal and Industry Partners Issue Challenge to Manufacturers.
    • ENERGY.GOV. Federal and Industry Partners Issue Challenge to Manufacturers. 2013. http://energy.gov/articles/federal-and-industry-partners-issue-challenge-manufacturers.
    • (2013)
  • 37
    • 84957930656 scopus 로고    scopus 로고
    • On the issuance of the notification on consumption monitoring system construction technical guidelines of government office buildings and large public building energy
    • Document No.114;
    • Ministry of Housing and Urban-Rural Development of the People's Republic of China (MOHURD), On the issuance of the notification on consumption monitoring system construction technical guidelines of government office buildings and large public building energy. In: Document No.114; 2008.
    • (2008)
  • 38
    • 84896085639 scopus 로고    scopus 로고
    • Forecasting energy consumption of multi-family residential buildings using support vector regression: investigating the impact of temporal and spatial monitoring granularity on performance accuracy
    • Jain R.K., Smith K.M., Culligan P.J., et al. Forecasting energy consumption of multi-family residential buildings using support vector regression: investigating the impact of temporal and spatial monitoring granularity on performance accuracy. Appl Energy 2014, 123(3):168-178.
    • (2014) Appl Energy , vol.123 , Issue.3 , pp. 168-178
    • Jain, R.K.1    Smith, K.M.2    Culligan, P.J.3
  • 39
    • 84899701114 scopus 로고    scopus 로고
    • Development of prediction models for next-day building energy consumption and peak power demand using data mining techniques
    • Cheng F., Fu X., Wang S. Development of prediction models for next-day building energy consumption and peak power demand using data mining techniques. Appl Energy 2014, 127(6):1-10.
    • (2014) Appl Energy , vol.127 , Issue.6 , pp. 1-10
    • Cheng, F.1    Fu, X.2    Wang, S.3
  • 40
    • 84927152990 scopus 로고    scopus 로고
    • HVAC terminal hourly end-use disaggregation in commercial buildings with Fourier series model
    • Ji Y., Xu P., Ye Y. HVAC terminal hourly end-use disaggregation in commercial buildings with Fourier series model. Energy Build 2015, 97:33-46.
    • (2015) Energy Build , vol.97 , pp. 33-46
    • Ji, Y.1    Xu, P.2    Ye, Y.3
  • 41
    • 84957930657 scopus 로고    scopus 로고
    • A bottom-up and procedural calibration method for building energy simulation models based on hourly electricity sub-metering data
    • Ji Y., Xu P. A bottom-up and procedural calibration method for building energy simulation models based on hourly electricity sub-metering data. Energy 2015, 93(2):2337-2350.
    • (2015) Energy , vol.93 , Issue.2 , pp. 2337-2350
    • Ji, Y.1    Xu, P.2
  • 42
    • 84909957432 scopus 로고    scopus 로고
    • Energy signal tool for decision support in building energy systems
    • Henze G.P., Pavlak G.S., Florita A.R., et al. Energy signal tool for decision support in building energy systems. Appl Energy 2014, 138:51-70.
    • (2014) Appl Energy , vol.138 , pp. 51-70
    • Henze, G.P.1    Pavlak, G.S.2    Florita, A.R.3
  • 43
    • 84897723089 scopus 로고    scopus 로고
    • Data mining in building automation system for improving building operational performance
    • Fu X., Cheng F. Data mining in building automation system for improving building operational performance. Energy Build 2014, 75(11):109-118.
    • (2014) Energy Build , vol.75 , Issue.11 , pp. 109-118
    • Fu, X.1    Cheng, F.2
  • 44
    • 84926181274 scopus 로고    scopus 로고
    • A framework for knowledge discovery in massive building automation data and its application in building diagnostics
    • Fan C., Xiao F., Yan C. A framework for knowledge discovery in massive building automation data and its application in building diagnostics. Automat Constr 2015, 50:81-90.
    • (2015) Automat Constr , vol.50 , pp. 81-90
    • Fan, C.1    Xiao, F.2    Yan, C.3
  • 45
    • 84957881822 scopus 로고    scopus 로고
    • Short-term prediction of power consumption for large-scale public buildings based on regression algorithm
    • Wang H., Lu X., Xu P., Yuan D. Short-term prediction of power consumption for large-scale public buildings based on regression algorithm. Procedia Eng 2015, 121:1318-1325.
    • (2015) Procedia Eng , vol.121 , pp. 1318-1325
    • Wang, H.1    Lu, X.2    Xu, P.3    Yuan, D.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.