Representing Small Commercial Building Faults in EnergyPlus, Part II: Model Validation

Kim, Janghyun; Frank, Stephen; Im, Piljae; Braun, James E.; Goldwasser, David; Leach, Matt

doi:10.3390/buildings9120239

Representing Small Commercial Building Faults in EnergyPlus, Part II: Model Validation

Journal Article · Thu Nov 21 23:00:00 EST 2019 · Buildings

DOI:https://doi.org/10.3390/buildings9120239· OSTI ID:2377032

; Frank, Stephen; Im, Piljae; Braun, James E.; Goldwasser, David; Leach, Matt

Automated fault detection and diagnosis (AFDD) tools based on machine-learning algorithms hold promise for lowering cost barriers for AFDD in small commercial buildings; however, access to high-quality training data for such algorithms is often difficult to obtain. To fill the gap in this research area, this study covers the development (Part I) and validation (Part II) of fault models that can be used with the building energy modeling software EnergyPlus® and OpenStudio® to generate a cost-effective training data set for developing AFDD algorithms. Part II (this paper) first presents a methodology of validating fault models with OpenStudio and then presents validation results, which are compared against measurements from a reference building. We discuss the results of our experiments with eight different faults in the reference building (a total of 39 different baseline and faulted scenarios), including our methodology for using fault models along with the reference building model to simulate the same faulted scenarios. Then, we present validation of the fault models by comparing results of simulations and experiments either quantitatively or qualitatively.

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Sponsoring Organization:: USDOE

Grant/Contract Number:: AC36-08GO28308

OSTI ID:: 2377032

Alternate ID(s):: OSTI ID: 1606781
OSTI ID: 1598973

Journal Information:: Buildings, Journal Name: Buildings Journal Issue: 12 Vol. 9; ISSN 2075-5309; ISSN BUILCO

Publisher:: MDPI AGCopyright Statement

Country of Publication:: Switzerland

Language:: English

References (27)

The effect of improper refrigerant charging on the performance of an air conditioner with capillary tube expansion O'Neal, Dennis L.; Farzad, Mohsen Energy and Buildings, Vol. 14, Issue 4 https://doi.org/10.1016/0378-7788(90)90098-4	journal	January 1990
Deep learning-based fault diagnosis of variable refrigerant flow air-conditioning system for building energy saving Guo, Yabin; Tan, Zehan; Chen, Huanxin Applied Energy, Vol. 225 https://doi.org/10.1016/j.apenergy.2018.05.075	journal	September 2018
Performance of a residential heat pump operating in the cooling mode with single faults imposed Kim, Minsung; Payne, W. Vance; Domanski, Piotr A. Applied Thermal Engineering, Vol. 29, Issue 4 https://doi.org/10.1016/j.applthermaleng.2008.04.009	journal	March 2009
Air-side particulate fouling of microchannel heat exchangers: Experimental comparison of air-side pressure drop and heat transfer with plate-fin heat exchanger Bell, Ian H.; Groll, Eckhard A. Applied Thermal Engineering, Vol. 31, Issue 5 https://doi.org/10.1016/j.applthermaleng.2010.10.019	journal	April 2011
Empirical modeling of the impacts of faults on water-cooled chiller power consumption for use in building simulation programs Cheung, Howard; Braun, James E. Applied Thermal Engineering, Vol. 99 https://doi.org/10.1016/j.applthermaleng.2016.01.119	journal	April 2016
Prediction of air-side particulate fouling of HVAC&R heat exchangers Inamdar, Harshad V.; Groll, Eckhard A.; Weibel, Justin A. Applied Thermal Engineering, Vol. 104 https://doi.org/10.1016/j.applthermaleng.2016.05.082	journal	July 2016
Effect of the distribution of faults and operating conditions on AFDD performance evaluations Yuill, David P.; Braun, James E. Applied Thermal Engineering, Vol. 106 https://doi.org/10.1016/j.applthermaleng.2016.06.149	journal	August 2016
Predicting particle deposition on HVAC heat exchangers Siegel, Jeffrey A.; Nazaroff, William W. Atmospheric Environment, Vol. 37, Issue 39-40 https://doi.org/10.1016/j.atmosenv.2003.09.033	journal	December 2003
Application of pattern matching method for detecting faults in air handling unit system Li, Shun; Wen, Jin Automation in Construction, Vol. 43 https://doi.org/10.1016/j.autcon.2014.03.002	journal	July 2014
Air leakage measurement and analysis in duct systems Aydin, Cigdem; Ozerdem, Baris Energy and Buildings, Vol. 38, Issue 3 https://doi.org/10.1016/j.enbuild.2005.05.010	journal	March 2006
Vacuum insulation panels for building application Simmler, H.; Brunner, S. Energy and Buildings, Vol. 37, Issue 11 https://doi.org/10.1016/j.enbuild.2005.06.015	journal	November 2005
Measured effect of airflow and refrigerant charge on the seasonal performance of an air-source heat pump using R-410A Palmiter, Larry; Kim, Jun-Hyeung; Larson, Ben Energy and Buildings, Vol. 43, Issue 7 https://doi.org/10.1016/j.enbuild.2011.03.026	journal	July 2011
Analysis of HVAC system oversizing in commercial buildings through field measurements Woradechjumroen, Denchai; Yu, Yuebin; Li, Haorong Energy and Buildings, Vol. 69 https://doi.org/10.1016/j.enbuild.2013.10.015	journal	February 2014
Transient pattern analysis for fault detection and diagnosis of HVAC systems Cho, Sung-Hwan; Yang, Hoon-Cheol; Zaheer-uddin, M. Energy Conversion and Management, Vol. 46, Issue 18-19 https://doi.org/10.1016/j.enconman.2005.02.012	journal	November 2005
Improved methodologies for simulating unitary air conditioners at off-design conditions Shen, Bo; Braun, James E.; Groll, Eckhard A. International Journal of Refrigeration, Vol. 32, Issue 7 https://doi.org/10.1016/j.ijrefrig.2009.06.009	journal	November 2009
Evaluation of the impacts of refrigerant charge on air conditioner and heat pump performance Kim, Woohyun; Braun, James E. International Journal of Refrigeration, Vol. 35, Issue 7 https://doi.org/10.1016/j.ijrefrig.2012.06.007	journal	November 2012
The impact of fouling on the condenser of a vapor compression refrigeration system: An experimental observation Qureshi, Bilal A.; Zubair, Syed M. International Journal of Refrigeration, Vol. 38 https://doi.org/10.1016/j.ijrefrig.2013.08.012	journal	February 2014
Continuous measurements of air change rates in an occupied house for 1 year: The effect of temperature, wind, fans, and windows Wallace, L. A.; Emmerich, S. J.; Howard-Reed, C. Journal of Exposure Science & Environmental Epidemiology, Vol. 12, Issue 4 https://doi.org/10.1038/sj.jea.7500229	journal	June 2002
The Sensitivity of Chiller Performance to Common Faults Comstock, M. C.; Braun, J. E.; Groll, E. A. HVAC&R Research, Vol. 7, Issue 3 https://doi.org/10.1080/10789669.2001.10391274	journal	July 2001
Application of a Generic Evaluation Methodology to Assess Four Different Chiller FDD Methods (RP-1275) Reddy, T. Agami HVAC&R Research, Vol. 13, Issue 5 https://doi.org/10.1080/10789669.2007.10390982	journal	September 2007
Evaporator Air-Side Fouling: Effect on Performance of Room Air Conditioners and Impact on Indoor Air Quality Ali, Ahmed Hamza; Ismail, Ibrahim HVAC&R Research, Vol. 14, Issue 2 https://doi.org/10.1080/10789669.2008.10391004	journal	March 2008
Evaluating the performance of fault detection and diagnostics protocols applied to air-cooled unitary air-conditioning equipment Yuill, David P.; Braun, James E. HVAC&R Research, Vol. 19, Issue 7 https://doi.org/10.1080/10789669.2013.808135	journal	July 2013
Simulation of fault impacts for vapor compression systems by inverse modeling. Part II: System modeling and validation Cheung, Howard; Braun, James E. HVAC&R Research, Vol. 19, Issue 7 https://doi.org/10.1080/10789669.2013.819769	journal	July 2013
Simulation of fault impacts for vapor compression systems by inverse modeling. Part I: Component modeling and validation Cheung, Howard; Braun, James E. HVAC&R Research, Vol. 19, Issue 7 https://doi.org/10.1080/10789669.2013.824800	journal	July 2013
A review of fault detection and diagnostics methods for building systems Kim, Woohyun; Katipamula, Srinivas Science and Technology for the Built Environment, Vol. 24, Issue 1 https://doi.org/10.1080/23744731.2017.1318008	journal	April 2017
Multiyear Plan for Validation of EnergyPlus Multi-Zone HVAC System Modeling using ORNL's Flexible Research Platform Im, Piljae; Bhandari, Mahabir S.; New, Joshua Ryan https://doi.org/10.2172/1329751	report	October 2016
Representing Small Commercial Building Faults in EnergyPlus, Part I: Model Development Kim, Janghyun; Frank, Stephen; Braun, James E. Buildings, Vol. 9, Issue 11 https://doi.org/10.3390/buildings9110233	journal	November 2019

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