| Download | - View author's version: Using building performance simulation for fault impact evaluation (PDF, 399 KiB)
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| Author | Search for: Shi, Zixiao1; Search for: O'Brien, William |
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| Affiliation | - National Research Council of Canada. Construction
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| Format | Text, Article |
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| Conference | eSim 2018, May 9-10, 2018, Montreal, QC, Canada |
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| Subject | building performance simulation; fault detection and diagnostics; fault evaluation; building energy management |
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| Abstract | Automated building fault detection and diagnostics (AFDD) has become a valuable tool to maintain the efficiency of high-performance buildings. Still, when faults are detected or diagnosed, they are often presented to the building operators as-is with little explanation of their potential impacts. This could lead to higher workload and knowledge requirement for the operators to assess the situation and schedule maintenance tasks. One approach to aid the building operators' decision-making process is to provide quantitative impact metrics for faults. Metrics such as energy, thermal comfort, and cost can be simulated using building performance simulation (BPS) software or data-driven models. While BPS has been used in fault detection research as well as advanced control algorithms, little work has done to introduce BPS to fault evaluation and fault management applications. This paper proposes a standardized procedure to use BPS to evaluate diagnosed faults in building systems by quantifying symptoms caused by faults, and then translate these symptoms to BPS inputs. This research tries to tackle the challenges of uncertainties caused by parameter estimation and providing strategies to symptoms that cannot be directly translated to a BPS input. The proposed method can be generalized to be integrated with existing FDD tools or future FDD research. |
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| Publication date | 2018-05 |
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| Publisher | IBPSA Canada |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| NPARC number | 23004214 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | e81253ef-c153-4048-9a23-925884825667 |
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| Record created | 2018-10-12 |
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| Record modified | 2020-03-16 |
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