Abstract
Sensors are crucial input components for HVAC controls. Studies show faults are common for buidings and HVAC systems. Sensors with faults will compromise the control perfrormance regardless how advanced of the control algorithms. Majority studies assume the sensor fault to be constant the whole year. In reality, the sensor faults might evolve or develop with time, which is essentially the incipient (i.e. evolving) fault. The incipient sensor faults impacts remain a research gap. This study aims to investigate the incipient sensor fault impacts to control sequences of multi-zone VAV boxes and AHU system following the ASHRAE Guideline 36-2018: High-Performance Sequences of Operation.
Original language | English |
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Title of host publication | 2022 Building Performance Analysis Conference and SimBuild, IBPSA 2022 |
Publisher | American Society of Heating Refrigerating and Air-Conditioning Engineers |
Pages | 225-233 |
Number of pages | 9 |
ISBN (Electronic) | 9781955516211 |
State | Published - 2022 |
Event | 2022 Building Performance Analysis Conference and SimBuild, IBPSA 2022 - Chicago, United States Duration: Sep 14 2022 → Sep 16 2022 |
Publication series
Name | ASHRAE and IBPSA-USA Building Simulation Conference |
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Volume | 2022-September |
ISSN (Electronic) | 2574-6308 |
Conference
Conference | 2022 Building Performance Analysis Conference and SimBuild, IBPSA 2022 |
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Country/Territory | United States |
City | Chicago |
Period | 09/14/22 → 09/16/22 |
Funding
This material is based upon work supported by the US Department of Energy's (DOE's) Office of Science and Building Technologies Office (BTO). This research used resources of Oak Ridge National Laboratory's Building Technologies Research and Integration, which is a DOE Office of Science User Facility. This manuscript has been authored by UT-Battelle LLC under contract DEAC05-00OR22725 with DOE. The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. This material is based upon work supported by the US Department of Energy’s (DOE’s) Office of Science and Building Technologies Office (BTO). This research used resources of Oak Ridge National Laboratory’s Building Technologies Research and Integration, which is a DOE Office of Science User Facility. This manuscript has been authored by UT-Battelle LLC under contract DEAC05-00OR22725 with DOE. The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes.