Modeling of HVAC operational faults in building performance simulation

Zhang, Rongpeng; Hong, Tianzhen

doi:10.1016/j.apenergy.2017.05.153

Title: Modeling of HVAC operational faults in building performance simulation

Journal Article · Sat May 27 00:00:00 EDT 2017 · Applied Energy

DOI:https://doi.org/10.1016/j.apenergy.2017.05.153· OSTI ID:1532219

Zhang, Rongpeng ^[1]; Hong, Tianzhen ^[1]

Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

Operational faults are common in the heating, ventilating, and air conditioning (HVAC) systems of existing buildings, leading to a decrease in energy efficiency and occupant comfort. Various fault detection and diagnostic methods have been developed to identify and analyze HVAC operational faults at the component or subsystem level. However, current methods lack a holistic approach to predicting the overall impacts of faults at the building level—an approach that adequately addresses the coupling between various operational components, the synchronized effect between simultaneous faults, and the dynamic nature of fault severity. This study introduces the novel development of a fault-modeling feature in EnergyPlus which fills in the knowledge gap left by previous studies. This paper presents the design and implementation of the new feature in EnergyPlus and discusses in detail the fault-modeling challenges faced. The new fault-modeling feature enables EnergyPlus to quantify the impacts of faults on building energy use and occupant comfort, thus supporting the decision making of timely fault corrections. Including actual building operational faults in energy models also improves the accuracy of the baseline model, which is critical in the measurement and verification of retrofit or commissioning projects. As an example, EnergyPlus version 8.6 was used to investigate the impacts of a number of typical operational faults in an office building across several U.S. climate zones. Finally, the results demonstrate that the faults have significant impacts on building energy performance as well as on occupant thermal comfort. Finally, the paper introduces future development plans for EnergyPlus fault-modeling capability.

View Accepted Manuscript (DOE)

View Accepted Manuscript (Publisher)

Cite

Export

Save

Research Organization:: Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

Sponsoring Organization:: USDOE Office of Science (SC); USDOE Office of Energy Efficiency and Renewable Energy (EERE)

Grant/Contract Number:: AC02-05CH11231

OSTI ID:: 1532219

Alternate ID(s):: OSTI ID: 1416212

Journal Information:: Applied Energy, Vol. 202, Issue C; ISSN 0306-2619

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

Citation Metrics:

Cited by: 85 works

Citation information provided by
Web of Science

References (22)

Review of possibilities and necessities for building lifetime commissioning Djuric, Natasa; Novakovic, Vojislav Renewable and Sustainable Energy Reviews, Vol. 13, Issue 2 https://doi.org/10.1016/j.rser.2007.11.007	journal	February 2009
Coupling of whole-building energy simulation and multi-dimensional numerical optimization for minimizing the life cycle costs of office buildings Karaguzel, Omer T.; Zhang, Rongpeng; Lam, Khee Poh Building Simulation, Vol. 7, Issue 2 https://doi.org/10.1007/s12273-013-0128-5	journal	July 2013
Sensor-fault detection, diagnosis and estimation for centrifugal chiller systems using principal-component analysis method Wang, Shengwei; Cui, Jingtan Applied Energy, Vol. 82, Issue 3 https://doi.org/10.1016/j.apenergy.2004.11.002	journal	November 2005
Improving occupants' satisfaction with effective maintenance management of HVAC system in office buildings Au-Yong, Cheong Peng; Ali, Azlan Shah; Ahmad, Faizah Automation in Construction, Vol. 43 https://doi.org/10.1016/j.autcon.2014.03.013	journal	July 2014
Monitoring-based HVAC commissioning of an existing office building for energy efficiency Wang, Liping; Greenberg, Steve; Fiegel, John Applied Energy, Vol. 102 https://doi.org/10.1016/j.apenergy.2012.09.005	journal	February 2013
Commercial Building Energy Saver: An energy retrofit analysis toolkit Hong, Tianzhen; Piette, Mary Ann; Chen, Yixing Applied Energy, Vol. 159 https://doi.org/10.1016/j.apenergy.2015.09.002	journal	December 2015
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
Token based scheduling for energy management in building HVAC systems Radhakrishnan, Nikitha; Su, Yang; Su, Rong Applied Energy, Vol. 173 https://doi.org/10.1016/j.apenergy.2016.04.023	journal	July 2016
Pattern recognition-based chillers fault detection method using Support Vector Data Description (SVDD) Zhao, Yang; Wang, Shengwei; Xiao, Fu Applied Energy, Vol. 112 https://doi.org/10.1016/j.apenergy.2012.12.043	journal	December 2013
A data-driven strategy for detection and diagnosis of building chiller faults using linear discriminant analysis Li, Dan; Hu, Guoqiang; Spanos, Costas J. Energy and Buildings, Vol. 128 https://doi.org/10.1016/j.enbuild.2016.07.014	journal	September 2016
Multi-source information fusion based fault diagnosis of ground-source heat pump using Bayesian network Cai, Baoping; Liu, Yonghong; Fan, Qian Applied Energy, Vol. 114 https://doi.org/10.1016/j.apenergy.2013.09.043	journal	February 2014
PCA-SVM-Based Automated Fault Detection and Diagnosis (AFDD) for Vapor-Compression Refrigeration Systems Han, Hua; Cao, Zhikun; Gu, Bo HVAC&R Research, Vol. 16, Issue 3 https://doi.org/10.1080/10789669.2010.10390906	journal	May 2010
Multiple faults diagnosis for sensors in air handling unit using Fisher discriminant analysis Du, Zhimin; Jin, Xinqiao Energy Conversion and Management, Vol. 49, Issue 12 https://doi.org/10.1016/j.enconman.2008.06.032	journal	December 2008
A system-level fault detection and diagnosis method for low delta-T syndrome in the complex HVAC systems Gao, Dian-ce; Wang, Shengwei; Shan, Kui Applied Energy, Vol. 164 https://doi.org/10.1016/j.apenergy.2015.02.025	journal	February 2016
Application of machine learning in the fault diagnostics of air handling units Najafi, Massieh; Auslander, David M.; Bartlett, Peter L. Applied Energy, Vol. 96 https://doi.org/10.1016/j.apenergy.2012.02.049	journal	August 2012
Optimal design of tests for heat exchanger fouling identification Palmer, Kyle A.; Hale, William T.; Such, Kyle D. Applied Thermal Engineering, Vol. 95 https://doi.org/10.1016/j.applthermaleng.2015.11.043	journal	February 2016
Building Fan Coil Electric Consumption Analysis with Fuzzy Approaches for Fault Detection and Diagnosis Lauro, F.; Moretti, F.; Capozzoli, A. Energy Procedia, Vol. 62 https://doi.org/10.1016/j.egypro.2014.12.403	journal	January 2014
EnergyPlus: creating a new-generation building energy simulation program Crawley, Drury B.; Lawrie, Linda K.; Winkelmann, Frederick C. Energy and Buildings, Vol. 33, Issue 4 https://doi.org/10.1016/S0378-7788(00)00114-6	journal	April 2001
Development of web-based information technology infrastructures and regulatory repositories for green building codes in China (iCodes) Lam, Khee Poh; Zhang, Rongpeng; Wang, Haopeng Building Simulation, Vol. 6, Issue 2 https://doi.org/10.1007/s12273-013-0112-0	journal	April 2013
An energy-aware, agent-based maintenance-scheduling framework to improve occupant satisfaction Cao, Yang; Wang, Tao; Song, Xinyi Automation in Construction, Vol. 60 https://doi.org/10.1016/j.autcon.2015.09.002	journal	December 2015
Dynamic optimization based integrated operation strategy design for passive cooling ventilation and active building air conditioning Zhang, Rongpeng; Nie, Yisu; Lam, Khee Poh Energy and Buildings, Vol. 85 https://doi.org/10.1016/j.enbuild.2014.09.032	journal	December 2014
The impact of air filter pressure drop on the performance of typical air-conditioning systems Nassif, Nabil Building Simulation, Vol. 5, Issue 4 https://doi.org/10.1007/s12273-012-0091-6	journal	July 2012

Cited By (6)

Evaluation of design faults in HVAC systems in housing: A study based on thermohygrometric variables Carretero-Ayuso, Manuel J.; Moreno-Cansado, Alberto; García-Sanz-Calcedo, Justo Science and Technology for the Built Environment, Vol. 26, Issue 2 https://doi.org/10.1080/23744731.2019.1611149	journal	June 2019
Building Integrated Shading and Building Applied Photovoltaic System Assessment in the Energy Performance and Thermal Comfort of Office Buildings Martinopoulos, Georgios; Serasidou, Anna; Antoniadou, Panagiota Sustainability, Vol. 10, Issue 12 https://doi.org/10.3390/su10124670	journal	December 2018
Building simulation: Ten challenges Hong, Tianzhen; Langevin, Jared; Sun, Kaiyu Building Simulation, Vol. 11, Issue 5 https://doi.org/10.1007/s12273-018-0444-x	journal	April 2018
Monitoring System Analysis for Evaluating a Building’s Envelope Energy Performance through Estimation of Its Heat Loss Coefficient Giraldo-Soto, Catalina; Erkoreka, Aitor; Mora, Laurent Sensors, Vol. 18, Issue 7 https://doi.org/10.3390/s18072360	journal	July 2018
Text-mining building maintenance work orders for component fault frequency Gunay, H. Burak; Shen, Weiming; Yang, Chunsheng Building Research & Information, Vol. 47, Issue 5 https://doi.org/10.1080/09613218.2018.1459004	journal	April 2018
Fault Isolability Analysis and Optimal Sensor Placement for Fault Diagnosis in Smart Buildings Trothe, Max Emil S.; Shaker, Hamid Reza; Jradi, Muhyiddine Energies, Vol. 12, Issue 9 https://doi.org/10.3390/en12091601	journal	April 2019

Similar Records

Modeling and Simulation of HVAC Faulty Operations and Performance Degradation due to Maintenance Issues

Conference · Tue Jan 01 00:00:00 EST 2013 · OSTI ID:1532219

Wang, Liping; Hong, Tianzhen

Using discrete Bayesian networks for diagnosing and isolating cross-level faults in HVAC systems

Journal Article · Mon Oct 10 00:00:00 EDT 2022 · Applied Energy · OSTI ID:1532219

Chen, Yimin; Wen, Jin; Pradhan, Ojas; +2 more

Learning-based framework for sensor fault-tolerant building HVAC control with model-assisted learning

Conference · Wed Nov 17 00:00:00 EST 2021 · Proceedings of the 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation · OSTI ID:1532219

Xu, Shichao; Fu, Yangyang; Wang, Yixuan; +2 more

Related Subjects

29 ENERGY PLANNING, POLICY, AND ECONOMY
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION
Operational fault
HVAC system
EnergyPlus
Modeling and simulation
Energy performance
Thermal comfort

Title: Modeling of HVAC operational faults in building performance simulation

Citation Formats

References (22)

Cited By (6)

Similar Records

Related Subjects