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

Abstract

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 themore »« less

Authors:

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

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

Publication Date:: Sat May 27 00:00:00 EDT 2017

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

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

OSTI Identifier:: 1532219

Alternate Identifier(s):: OSTI ID: 1416212

Grant/Contract Number:: AC02-05CH11231

Resource Type:: Accepted Manuscript

Journal Name:: Applied Energy

Additional Journal Information:: Journal Volume: 202; Journal Issue: C; Journal ID: ISSN 0306-2619

Publisher:: Elsevier

Country of Publication:: United States

Language:: English

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

Citation Formats


                    Zhang, Rongpeng, and Hong, Tianzhen. Modeling of HVAC operational faults in building performance simulation.  United States: N. p., 2017. 
Web.  doi:10.1016/j.apenergy.2017.05.153.

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                    Zhang, Rongpeng, & Hong, Tianzhen. Modeling of HVAC operational faults in building performance simulation.  United States.  https://doi.org/10.1016/j.apenergy.2017.05.153

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                    Zhang, Rongpeng, and Hong, Tianzhen. Sat .  
"Modeling of HVAC operational faults in building performance simulation".  United States.  https://doi.org/10.1016/j.apenergy.2017.05.153.  https://www.osti.gov/servlets/purl/1532219.

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@article{osti_1532219,

  title        = {Modeling of HVAC operational faults in building performance simulation},

  author       = {Zhang, Rongpeng and Hong, Tianzhen},

  abstractNote = {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.},

  doi          = {10.1016/j.apenergy.2017.05.153},

  journal      = {Applied Energy},

  number       = C,

  volume       = 202,

  place        = {United States},

  year         = {Sat May 27 00:00:00 EDT 2017},

  month        = {Sat May 27 00:00:00 EDT 2017}

}

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Similar Records

Title: Modeling of HVAC operational faults in building performance simulation

Abstract

Citation Formats

Review of possibilities and necessities for building lifetime commissioning journal, February 2009

Coupling of whole-building energy simulation and multi-dimensional numerical optimization for minimizing the life cycle costs of office buildings journal, July 2013

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Empirical modeling of the impacts of faults on water-cooled chiller power consumption for use in building simulation programs journal, April 2016

Token based scheduling for energy management in building HVAC systems journal, July 2016

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PCA-SVM-Based Automated Fault Detection and Diagnosis (AFDD) for Vapor-Compression Refrigeration Systems journal, May 2010

Multiple faults diagnosis for sensors in air handling unit using Fisher discriminant analysis journal, December 2008

A system-level fault detection and diagnosis method for low delta-T syndrome in the complex HVAC systems journal, February 2016

Application of machine learning in the fault diagnostics of air handling units journal, August 2012

Optimal design of tests for heat exchanger fouling identification journal, February 2016

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Development of web-based information technology infrastructures and regulatory repositories for green building codes in China (iCodes) journal, April 2013

An energy-aware, agent-based maintenance-scheduling framework to improve occupant satisfaction journal, December 2015

Dynamic optimization based integrated operation strategy design for passive cooling ventilation and active building air conditioning journal, December 2014

The impact of air filter pressure drop on the performance of typical air-conditioning systems journal, July 2012

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Review of possibilities and necessities for building lifetime commissioning
journal, February 2009

Coupling of whole-building energy simulation and multi-dimensional numerical optimization for minimizing the life cycle costs of office buildings
journal, July 2013

Sensor-fault detection, diagnosis and estimation for centrifugal chiller systems using principal-component analysis method
journal, November 2005

Improving occupants' satisfaction with effective maintenance management of HVAC system in office buildings
journal, July 2014

Monitoring-based HVAC commissioning of an existing office building for energy efficiency
journal, February 2013

Commercial Building Energy Saver: An energy retrofit analysis toolkit
journal, December 2015

Empirical modeling of the impacts of faults on water-cooled chiller power consumption for use in building simulation programs
journal, April 2016

Token based scheduling for energy management in building HVAC systems
journal, July 2016

Pattern recognition-based chillers fault detection method using Support Vector Data Description (SVDD)
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A data-driven strategy for detection and diagnosis of building chiller faults using linear discriminant analysis
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Multi-source information fusion based fault diagnosis of ground-source heat pump using Bayesian network
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PCA-SVM-Based Automated Fault Detection and Diagnosis (AFDD) for Vapor-Compression Refrigeration Systems
journal, May 2010

Multiple faults diagnosis for sensors in air handling unit using Fisher discriminant analysis
journal, December 2008

A system-level fault detection and diagnosis method for low delta-T syndrome in the complex HVAC systems
journal, February 2016

Application of machine learning in the fault diagnostics of air handling units
journal, August 2012

Optimal design of tests for heat exchanger fouling identification
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EnergyPlus: creating a new-generation building energy simulation program
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Development of web-based information technology infrastructures and regulatory repositories for green building codes in China (iCodes)
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The impact of air filter pressure drop on the performance of typical air-conditioning systems
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Text-mining building maintenance work orders for component fault frequency
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