Sensor Incipient Fault Impacts on Building Energy Performance: A Case Study on a Multi-Zone Commercial Building
Abstract
Existing studies show sensor faults/error could double building energy consumption and carbon emissions compared with the baseline. Those studies assume that the sensor error is fixed or constant. However, sensor faults are incipient in real conditions and there were extremely limited studies investigating the incipient sensor fault impacts systematically. This study filled in this research gap by studying time-developing sensor fault impacts to rule-based controls on a 10-zone office building. The control sequences for variable air volume boxes (VAV) with an air handling unit (AHU) system were selected based on ASHRAE Guideline 36-2018: High-Performance Sequences of Operation for HVAC Systems. Large-scale simulations on cloud were conducted (3600 cases) through stochastic approach. Results show (1) The site energy differences could go –3.3% lower or 18.1% higher, compared with baseline. (2) The heating energy differences could go –66.5% lower or 314.4% higher, compared with baseline. (3) The cooling energy differences could go –11.5% lower or 65.0% higher, compared with baseline. (4) The fan energy differences could go 0.15% lower or 6.9% higher, compared with baseline.
- Authors:
-
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Univ. of Toronto, ON (Canada)
- (Matt) [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Publication Date:
- Research Org.:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Energy Efficiency Office. Building Technologies Office; USDOE Office of Science (SC)
- OSTI Identifier:
- 1960684
- Grant/Contract Number:
- AC05-00OR22725; CEBT105
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Buildings
- Additional Journal Information:
- Journal Volume: 13; Journal Issue: 2; Journal ID: ISSN 2075-5309
- Publisher:
- MDPI
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; building energy; sensor impact; building control; incipient sensor faults
Citation Formats
Li, Yanfei, Im, Piljae, Lee, Seungjae, Bae, Yeonjin, Yoon, Yeobeom, and Lee, Sangkeun. Sensor Incipient Fault Impacts on Building Energy Performance: A Case Study on a Multi-Zone Commercial Building. United States: N. p., 2023.
Web. doi:10.3390/buildings13020520.
Li, Yanfei, Im, Piljae, Lee, Seungjae, Bae, Yeonjin, Yoon, Yeobeom, & Lee, Sangkeun. Sensor Incipient Fault Impacts on Building Energy Performance: A Case Study on a Multi-Zone Commercial Building. United States. https://doi.org/10.3390/buildings13020520
Li, Yanfei, Im, Piljae, Lee, Seungjae, Bae, Yeonjin, Yoon, Yeobeom, and Lee, Sangkeun. Tue .
"Sensor Incipient Fault Impacts on Building Energy Performance: A Case Study on a Multi-Zone Commercial Building". United States. https://doi.org/10.3390/buildings13020520. https://www.osti.gov/servlets/purl/1960684.
@article{osti_1960684,
title = {Sensor Incipient Fault Impacts on Building Energy Performance: A Case Study on a Multi-Zone Commercial Building},
author = {Li, Yanfei and Im, Piljae and Lee, Seungjae and Bae, Yeonjin and Yoon, Yeobeom and Lee, Sangkeun},
abstractNote = {Existing studies show sensor faults/error could double building energy consumption and carbon emissions compared with the baseline. Those studies assume that the sensor error is fixed or constant. However, sensor faults are incipient in real conditions and there were extremely limited studies investigating the incipient sensor fault impacts systematically. This study filled in this research gap by studying time-developing sensor fault impacts to rule-based controls on a 10-zone office building. The control sequences for variable air volume boxes (VAV) with an air handling unit (AHU) system were selected based on ASHRAE Guideline 36-2018: High-Performance Sequences of Operation for HVAC Systems. Large-scale simulations on cloud were conducted (3600 cases) through stochastic approach. Results show (1) The site energy differences could go –3.3% lower or 18.1% higher, compared with baseline. (2) The heating energy differences could go –66.5% lower or 314.4% higher, compared with baseline. (3) The cooling energy differences could go –11.5% lower or 65.0% higher, compared with baseline. (4) The fan energy differences could go 0.15% lower or 6.9% higher, compared with baseline.},
doi = {10.3390/buildings13020520},
journal = {Buildings},
number = 2,
volume = 13,
place = {United States},
year = {Tue Feb 14 00:00:00 EST 2023},
month = {Tue Feb 14 00:00:00 EST 2023}
}
Works referenced in this record:
The detection and correction of various faulty sensors in a photovoltaic thermal heat pump system
journal, July 2020
- Wang, Peng; Li, Jiteng; Yoon, Sungmin
- Applied Thermal Engineering, Vol. 175
An innovative fault impact analysis framework for enhancing building operations
journal, September 2019
- Li, Yanfei; O'Neill, Zheng
- Energy and Buildings, Vol. 199
Improving Energy Efficiency and Thermal Comfort of Smart Buildings with HVAC Systems in the Presence of Sensor Faults
conference, August 2015
- Gunes, Volkan; Peter, Steffen; Givargis, Tony
- 2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security, and 2015 IEEE 12th International Conference on Embedded Software and Systems
Representing Small Commercial Building Faults in EnergyPlus, Part II: Model Validation
journal, November 2019
- Kim, Janghyun; Frank, Stephen; Im, Piljae
- Buildings, Vol. 9, Issue 12
A comparative study of the status of GSHP applications in the United States and China
journal, August 2015
- Liu, Xiaobing; Lu, Shilei; Hughes, Patrick
- Renewable and Sustainable Energy Reviews, Vol. 48
Parameter estimation of a building system model and impact of estimation error on closed-loop performance
conference, December 2011
- Bengea, S.; Adetola, V.; Kang, K.
- IEEE Conference on Decision and Control and European Control Conference
Representing Small Commercial Building Faults in EnergyPlus, Part I: Model Development
journal, November 2019
- Kim, Janghyun; Frank, Stephen; Braun, James E.
- Buildings, Vol. 9, Issue 11
Sensor impact evaluation and verification for fault detection and diagnostics in building energy systems: A review
journal, August 2021
- Zhang, Liang; Leach, Matt; Bae, Yeonjin
- Advances in Applied Energy, Vol. 3
The role of sensitivity analysis in the building performance analysis: A critical review
journal, February 2020
- Pang, Zhihong; O'Neill, Zheng; Li, Yanfei
- Energy and Buildings, Vol. 209
Nationwide HVAC energy-saving potential quantification for office buildings with occupant-centric controls in various climates
journal, December 2020
- Pang, Zhihong; Chen, Yan; Zhang, Jian
- Applied Energy, Vol. 279
Impacts of HVACR temperature sensor offsets on building energy performance and occupant thermal comfort
journal, October 2018
- Yoon, Sungmin; Yu, Yuebin; Wang, Jiaqiang
- Building Simulation, Vol. 12, Issue 2
Energy and Exergy Analysis of Low-Global Warming Potential Refrigerants as Replacement for R410A in Two-Speed Heat Pumps for Cold Climates
journal, October 2020
- Shen, Bo; Ally, Moonis R.
- Energies, Vol. 13, Issue 21
Artificial intelligence-based fault detection and diagnosis methods for building energy systems: Advantages, challenges and the future
journal, July 2019
- Zhao, Yang; Li, Tingting; Zhang, Xuejun
- Renewable and Sustainable Energy Reviews, Vol. 109
Energy savings and ventilation performance from CO 2 -based demand controlled ventilation: Simulation results from ASHRAE RP-1747 (ASHRAE RP-1747)
journal, June 2019
- O'Neill, Zheng D.; Li, Yanfei; Cheng, Hwakong C.
- Science and Technology for the Built Environment, Vol. 26, Issue 2
Long Short-Term Memory
journal, November 1997
- Hochreiter, Sepp; Schmidhuber, Jürgen
- Neural Computation, Vol. 9, Issue 8
Empirical validation of building energy modeling for multi-zones commercial buildings in cooling season
journal, March 2020
- Im, Piljae; Joe, Jaewan; Bae, Yeonjin
- Applied Energy, Vol. 261
A review of sensitivity analysis methods in building energy analysis
journal, April 2013
- Tian, Wei
- Renewable and Sustainable Energy Reviews, Vol. 20
A review of computing-based automated fault detection and diagnosis of heating, ventilation and air conditioning systems
journal, June 2022
- Chen, Jianli; Zhang, Liang; Li, Yanfei
- Renewable and Sustainable Energy Reviews, Vol. 161
A novel simulation-based framework for sensor error impact analysis in smart building systems: A case study for a demand-controlled ventilation system
journal, April 2020
- Lu, Xing; O'Neill, Zheng; Li, Yanfei
- Applied Energy, Vol. 263
Sensor impacts on building and HVAC controls: A critical review for building energy performance
journal, November 2021
- Bae, Yeonjin; Bhattacharya, Saptarshi; Cui, Borui
- Advances in Applied Energy, Vol. 4
Sensor network data fault types
journal, May 2009
- Ni, Kevin; Ramanathan, Nithya; Chehade, Mohamed Nabil Hajj
- ACM Transactions on Sensor Networks, Vol. 5, Issue 3
Empirical modeling of the impacts of faults on water-cooled chiller power consumption for use in building simulation programs
journal, April 2016
- Cheung, Howard; Braun, James E.
- Applied Thermal Engineering, Vol. 99
A critical review of fault modeling of HVAC systems in buildings
journal, July 2018
- Li, Yanfei; O’Neill, Zheng
- Building Simulation, Vol. 11, Issue 5
Energy-saving potential evaluation for primary schools with occupant-centric controls
journal, July 2021
- Ye, Yunyang; Chen, Yan; Zhang, Jian
- Applied Energy, Vol. 293
Handling model uncertainty in model predictive control for energy efficient buildings
journal, July 2014
- Maasoumy, M.; Razmara, M.; Shahbakhti, M.
- Energy and Buildings, Vol. 77