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:
-
[1];
[1];
[1];
[3]
- 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}
}
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