Computational Fluid Dynamics Applied to Hydrogen Safety
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A5: Hydrogen Energy".
Deadline for manuscript submissions: closed (30 June 2023) | Viewed by 10909
Special Issue Editor
Interests: Computational Fluid Dynamics (CFD); fluid mechanics; simulation; turbulence; multiphase flows; heat transfer; dispersion modeling; hydrogen safety; LNG; adrea-hf; fluent
Special Issue Information
Dear Colleagues,
The climate and energy crisis has led governments to make long-term strategic decisions for effective reduction in carbon emissions within the coming years. This paves the way to hydrogen and accelerates its introduction to the transportation, shipping, and aviation sectors. This increasing interest in hydrogen technologies and their use as an energy carrier has raised the need to develop an international regulation framework for the inherently safer use of hydrogen. Computational fluid dynamics (CFD) is a valuable tool to perform safety studies and can significantly contribute to the development of regulation, codes, and standards. The outcomes of carefully designed and specially focused studies can assist policy makers and regulatory authorities by providing recommendations regarding safety distances and the efficiency of prevention and mitigation measures.
This Special Issue is dedicated to studying hydrogen-safety-related issues using the CFD methodology but is also interested in the safety of other alternative fuels or hydrogen carriers, such as methane, NH3, etc. The SI topics cover all aspects of safety, including but not limited to vapour dispersion, combustion, and fire modelling. Outstanding research and studies in the relevant disciplinary areas are welcome in this peer-reviewed SI of Energies.
We are inviting and encouraging you to submit your original work to this Special Issue.
Dr. Stella Giannissi
Guest Editor
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Keywords
- computational fluid dynamics
- hydrogen
- fuel
- safety
- dispersion
- combustion
- fire
- ventilation
- numerical modeling
- turbulence
- LNG
- ammonia
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