Project Details
Description
The project aims to develop data-driven predictive models enabling a better understanding of the impact of an incident in hydrogen-powered vessels. Hydrogen has high energy density, but its volumetric energy density is low
compared to other fuels, and hence it requires to be stored in the form of either high-pressure gas or a cryogenic liquid. Accidental release/leakage of hydrogen, especially in semi-confined spaces, can lead to catastrophic outcomes
such as uncontrolled fire and explosion. Early detection and effective safety barriers can help to minimise the impact of hydrogen leakage. The project will focus on the computational modelling of different scenarios that will assist in
developing more optimised intelligence sensing and monitoring systems as well as guidelines to install safety barriers.
It will enhance the safe adaptation of hydrogen in maritime vessels.
compared to other fuels, and hence it requires to be stored in the form of either high-pressure gas or a cryogenic liquid. Accidental release/leakage of hydrogen, especially in semi-confined spaces, can lead to catastrophic outcomes
such as uncontrolled fire and explosion. Early detection and effective safety barriers can help to minimise the impact of hydrogen leakage. The project will focus on the computational modelling of different scenarios that will assist in
developing more optimised intelligence sensing and monitoring systems as well as guidelines to install safety barriers.
It will enhance the safe adaptation of hydrogen in maritime vessels.
| Acronym | BE CRC-CO |
|---|---|
| Status | Active |
| Effective start/end date | 1/04/24 → 30/09/27 |