2013 Fiscal Year Final Research Report
Development of a cognitive and predictive risk mitigation system of hydrogen dispersion based on large-eddy sensing
| Project/Area Number |
22710157
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Social systems engineering/Safety system
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| Research Institution | Ehime University (2011-2013)
Tohoku University (2010) |
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Principal Investigator |
MATSUURA Kazuo 愛媛大学, 理工学研究科, 准教授 (20423577)
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| Project Period (FY) |
2010-04-01 – 2013-03-31
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| Keywords | Hydrogen / Safety / CFD / Sensing / Control |
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| Research Abstract |
I proposed a real-time sensing-based risk-mitigation control of hydrogen dispersion in a partially open space with low-height openings using forced ventilation. Related to the space, a plot of acceptable exhaust low rates for various leak low rates and leak positions (an acceptability diagram), a method for estimating the instantaneous hydrogen amount accumulating near the roof, and a hunting-preventive (HP) control scheme for the exhaust low rate based on the least-squares method were presented. A sensing-based risk-mitigation control strategy to control the exhaust volume low rate was then proposed. I proposed two acceleration methods that improved the ventilation performance of the original HP scheme after hydrogen leakage ceased. I developed a system that controls fan speed according to hydrogen concentration at a hydrogen sensor, and showed experimentally the possibility of self-excited oscillation of the system.
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Research Products
(9 results)
