Representing Small Commercial Building Faults in EnergyPlus, Part I: Model Development

Kim, Janghyun; Frank, Stephen; Braun, James E.; Goldwasser, David

doi:10.3390/buildings9110233

Representing Small Commercial Building Faults in EnergyPlus, Part I: Model Development

Journal Article · Wed Nov 13 23:00:00 EST 2019 · Buildings

DOI:https://doi.org/10.3390/buildings9110233· OSTI ID:2377014

; Frank, Stephen; Braun, James E.; Goldwasser, David

Small commercial buildings (those with less than approximately 1000 m2 of total floor area) often do not have access to cost-effective automated fault detection and diagnosis (AFDD) tools for maintaining efficient building operations. AFDD tools based on machine-learning algorithms hold promise for lowering cost barriers for AFDD in small commercial buildings; however, such algorithms require access to high-quality training data that 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 I (this paper) presents a library of fault models, including detailed descriptions of each fault model structure and their implementation with EnergyPlus. This paper also discusses a case study of training data set generation, representing an actual building.

View Journal Article

Sponsoring Organization:: USDOE

OSTI ID:: 2377014

Alternate ID(s):: OSTI ID: 1580571

Journal Information:: Buildings, Journal Name: Buildings Journal Issue: 11 Vol. 9; ISSN 2075-5309; ISSN BUILCO

Publisher:: MDPI AGCopyright Statement

Country of Publication:: Switzerland

Language:: English

References (19)

A model-based fault detection and diagnosis strategy for HVAC systems Zhou, Qiang; Wang, Shengwei; Ma, Zhenjun International Journal of Energy Research, Vol. 33, Issue 10 https://doi.org/10.1002/er.1530	journal	August 2009
Normalized performance parameters for a residential heat pump in the cooling mode with single faults imposed Cho, Jin Min; Heo, Jaehyeok; Payne, W. Vance Applied Thermal Engineering, Vol. 67, Issue 1-2 https://doi.org/10.1016/j.applthermaleng.2014.03.010	journal	June 2014
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
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
A systematic feature extraction and selection framework for data-driven whole-building automated fault detection and diagnostics in commercial buildings Zhang, Liang; Frank, Stephen; Kim, Janghyun Building and Environment, Vol. 186 https://doi.org/10.1016/j.buildenv.2020.107338	journal	December 2020
A virtual condenser fouling sensor for chillers Zhao, Xinzhi; Yang, Mo; Li, Haorong Energy and Buildings, Vol. 52 https://doi.org/10.1016/j.enbuild.2012.05.018	journal	September 2012
An innovative fault impact analysis framework for enhancing building operations Li, Yanfei; O'Neill, Zheng Energy and Buildings, Vol. 199 https://doi.org/10.1016/j.enbuild.2019.07.011	journal	September 2019
A supervisory control strategy for building cooling water systems for practical and real time applications Ma, Zhenjun; Wang, Shengwei; Xu, Xinhua Energy Conversion and Management, Vol. 49, Issue 8 https://doi.org/10.1016/j.enconman.2008.01.019	journal	August 2008
A vapour compression chiller fault detection technique based on adaptative algorithms. Application to on-line refrigerant leakage detection Navarro-Esbrí, J.; Torrella, E.; Cabello, R. International Journal of Refrigeration, Vol. 29, Issue 5 https://doi.org/10.1016/j.ijrefrig.2005.12.008	journal	August 2006
Review Article: Methods for Fault Detection, Diagnostics, and Prognostics for Building Systems—A Review, Part I Katipamula, Srinivas; Brambley, Michael HVAC&R Research, Vol. 11, Issue 1 https://doi.org/10.1080/10789669.2005.10391123	journal	January 2005
Review Article: Methods for Fault Detection, Diagnostics, and Prognostics for Building Systems—A Review, Part II Katipamula, Srinivas; Brambley, Michael HVAC&R Research, Vol. 11, Issue 2 https://doi.org/10.1080/10789669.2005.10391133	journal	April 2005
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
An empirical model for simulating the effects of refrigerant charge faults on air conditioner performance Cheung, Howard; Braun, James E. Science and Technology for the Built Environment, Vol. 23, Issue 5 https://doi.org/10.1080/23744731.2016.1260419	journal	December 2016
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
An online model-based fault diagnosis scheme for HVAC systems Thumati, Balaje T.; Feinstein, Miles A.; Fonda, James W. 2011 IEEE International Conference on Control Applications (CCA) https://doi.org/10.1109/CCA.2011.6044486	conference	September 2011
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
Impacts of Commercial Building Controls on Energy Savings and Peak Load Reduction Fernandez, Nicholas E. P.; Katipamula, Srinivas; Wang, Weimin https://doi.org/10.2172/1400347	report	May 2017

Similar Records

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

Journal Article · Thu Nov 21 23:00:00 EST 2019 · Buildings · OSTI ID:2377032

Representing Small Commercial Building Faults in EnergyPlus, Part I: Model Development

Citation Formats

References (19)

Similar Records

Related Subjects