Abstract
This paper treats the real-time sensing-based risk-mitigation control of hydrogen jet leakage in a partially open space with low openings by forced ventilation. After describing the computational geometry and scenarios, and the mathematical model and numerical procedure, we propose a partially open space that is robust to external environment. Related to this model, a risk-mitigation control algorithm to change the exhaust volume rate based on the least-square method for hydrogen sensor signals is proposed considering the results of applying various exhaust volume rates to the dispersion fields. The proposed method is validated against representative cases.
