This work is licensed under the Creative Commons Attribution 4.0 International License.
Safety and Security Analysis: Investigative Report by NASA on Proposed EPA Hydrogen-Powered Vehicle Fueling Station. Assessment and Standards Division Office of Transportation and Air Quality U.S. Environment Protection Agency, EPA420-R-04-016 October 2004. 45 p.Search in Google Scholar
Sato Y., Iwabuchi H., Groethe M., Merilo E., Chiba S. Experiments on hydrogen deflagration. Journal of Power Sources 2006:159(1):144–148. https://doi.org/10.1016/j.jpowsour.2006.04.062Search in Google Scholar
Puttock G. S., Colenbrander G. W., Blackmore D. R., Maplin Sands experiments 1980: Dispersion results from continuous releases of refrigerated liquid propane, S. Hartwig (ed), Heavy Gas and Risk Assessment 1980:11:147–161. https://doi.org/10.1007/978-94-009-7151-6_9Search in Google Scholar
Garcia, J., Baraldi, D., Gallego, E., Beccantini, A., Crespo A., Hansen O. R., Hoiset S., Kotchourko A., Makarov D., Migoya E., Molkov V., Voort M. M., Yanez J. An intercomparison exercise on the capabilities of CFD models to reproduce a large-scale hydrogen deflagration in open atmosphere. International Journal of Hydrogen Energy 2010:35(9):4435–4444. https://doi.org/10.1016/j.ijhydene.2010.02.011Search in Google Scholar
Skob Y., Ugryumov M., Granovskiy E. Numerical Evaluation of Probability of Harmful Impact Caused by Toxic Spill Emergencies. Environmental and Climate Technologies 2019:23:1–14. https://doi.org/10.2478/rtuect-2019-0075Search in Google Scholar
Sathiah P., Holler T., Kljenak I., Komen E. The role of CFD combustion modeling in hydrogen safety management – V: Validation for slow deflagrations in homogeneous hydrogen-air experiments. Nuclear Engineering and Design 2016:310:520–531. https://doi.org/10.1016/j.nucengdes.2016.06.030Search in Google Scholar
Skob Y., Yakovlev S., Pichugina O., Kalinichenko M., Korobchynskyi K. Mathematical Modelling of Gas Admixtures Release, Dispersion and Explosion in Open Atmosphere. CEUR Workshop Proceedings 2023:3641:168–181.Search in Google Scholar
Skob Y., Yakovlev S., Korobchynskyi K., Kalinichenko M. Numerical Assessment of Terrain Relief Influence on Consequences for Humans Exposed to Gas Explosion Overpressure. Computation 2023:11(2):19. https://doi.org/10.3390/computation11020019Search in Google Scholar
McQuaid J. Trials on dispersion of heavy gas clouds. Plant/Operations Progress 1985:4(1):58–61. https://doi.org/10.1002/prsb.720040112Search in Google Scholar
Zatorska E. On the steady flow of a multicomponent, compressible, chemically reacting gas. Nonlinearity 2011:24:11. https://doi.org/10.1088/0951-7715/24/11/013Search in Google Scholar
Gotaas Y. Heavy gas dispersion and environmental conditions as revealed by the Thorney Island experiments. Journal of Hazardous Materials 1985:11:399–408. https://doi.org/10.1016/0304-3894(85)85050-0Search in Google Scholar
Skob Y., Yakovlev S., Pichugina O., Kalinichenko M., Korobchynskyi K., Hulianytskyi A. Numerical Evaluation of Wind Speed Influence on Accident Toxic Spill Consequences Scales. Environmental and Climate Technologies 2023:27:450–463. https://doi.org/10.2478/rtuect-2023-0033 Colenbrander G. W., Puttock J. S. Maplin Sands Experiments 1980: Interpretation and Modelling of Liquefied Gas Spills onto the Sea. In: Ooms, G., Tennekes, H. (eds) Atmospheric Dispersion of Heavy Gases and Small Particles 1984:277–295. https://doi.org/10.1007/978-3-642-82289-6_22Search in Google Scholar
Men’shikov V., Skob Y., Ugryumov M. Solution of the three-dimensional turbomachinery blade row flow field problem with allowance for viscosity effects. Fluid Dynamics 1991:26(6):889–896. https://doi.org/10.1007/BF01056792Search in Google Scholar
Tregillis I. L., Koskelo A. Analytic Solutions as a Tool for Verification and Validation of a Multiphysics Model. Journal of Verification, Validation and Uncertainty Quantification 2019:4(4):041004. https://doi.org/10.1115/1.4045747Search in Google Scholar
Markiewicz T. A review of mathematical models for the atmospheric dispersion of heavy gases. Part I. A classification of models. Ecological Chemistry and Engineering S 2012:19(3):297–314. https://doi.org/10.2478/v10216-011-0022-ySearch in Google Scholar
Walker E. L., Tanenbaum B. S. Investigation of Kinetic Models for Gas Mixtures. Physics of Fluids 1968:11:1951–1954. https://doi.org/10.1063/1.1692224Search in Google Scholar
Mansha M., Saleemi A.R., Ghauri B. M. Kinetic models of natural gas combustion in an internal combustion engine. Journal of Natural Gas Chemistry 2010:19(1):6–14. https://doi.org/10.1016/S1003-9953(09)60024-4Search in Google Scholar
Yu H., Zhang X. Molecular-kinetic study of multilayers gas-adsorption in a rarefied gas environment. Physics of Fluids 2022:34(12):123106. https://doi.org/10.1063/5.0124970Search in Google Scholar
Rogulski M. Indoor PM10 concentration measurements using low-cost monitors in selected locations in Warsaw. Energy Procedia 2018:147:137–144. https://doi.org/10.1016/j.egypro.2018.07.043Search in Google Scholar
Barisa A., Rosa M. Scenario analysis of CO2 emission reduction potential in road transport sector in Latvia. Energy Procedia 2018:147:86–95. https://doi.org/10.1016/j.egypro.2018.07.036Search in Google Scholar
Puttock J. S., McFarlane K., Prothero A., Rees F. J., Blewitt D. N. Dispersion models and hydrogen fluoride predictions. Journal of Loss Prevention in the Process Industries 1991:4(1):16–28. https://doi.org/10.1016/0950-4230(91)80003-DSearch in Google Scholar
Folch A., Costa A., Hankin R. K. S. twodee-2: A shallow layer model for dense gas dispersion on complex topography. Computers & Geosciences 2009:35(3):667–674. https://doi.org/10.1016/j.cageo.2007.12.017Search in Google Scholar
Kopka P., Wawrzynczak A. Framework for stochastic identification of atmospheric contamination source in an urban area. Atmospheric Environment 2018:195:63–77. https://doi.org/10.1016/j.atmosenv.2018.09.035Search in Google Scholar
Burns D. S., Rottmann S. D., Plitz A. B. L., Wiseman F. L., Chynwat V. A simplified chemistry module for atmospheric transport and dispersion models: Proof-of-concept using SCIPUFF. Atmospheric Environment 2012:56:212–221. https://doi.org/10.1016/j.atmosenv.2012.03.067Search in Google Scholar
Merah A., Noureddine A. Reactive pollutants dispersion modeling in a street Canyon. International Journal of Applied Mechanics and Engineering 2019:24(1):91–103. https://doi.org/10.2478/ijame-2019-0006Search in Google Scholar
Arvidson S., Davidson L., Peng S.-H. Interface methods for grey-area mitigation in turbulence-resolving hybrid RANS-LES. International Journal Heat and Fluid Flow 2018:73:236–257. https://doi.org/10.1016/j.ijheatfluidflow.2018.08.005Search in Google Scholar
Lipatnikov A. N., Sabelnikov V. A., Poludnenko A. Y. Assessment of a transport equation for mean reaction rate using DNS data obtained from highly unsteady premixed turbulent flames. International Journal Heat and Mass Transfer 2019:134:398–404. https://doi.org/10.1016/j.ijheatmasstransfer.2019.01.043Search in Google Scholar
Galeev A. D., Starovoitova E. V., Ponikarov S. I. Numerical simulation of the formation of a toxic cloud on outpouring ejection of liquefied chlorine to the atmosphere. Journal of Engineering Physics and Thermophysics 2013:86(1):219–228. https://doi.org/10.1007/s10891-013-0823-1Search in Google Scholar
Snegirev A. Y., Frolov A. S. The large eddy simulation of a turbulent diffusion flame. High Temperature 2011:49:690–704. https://doi.org/10.1134/S0018151X11040201Search in Google Scholar
Salamonowicz Z., Krauze A., Majder-Lopatka M., Dmochowska A., Piechota-Polanczyk A., Polanczyk A. Numerical Reconstruction of Hazardous Zones after the Release of Flammable Gases during Industrial Processes. Processes 2021:9(2):307. https://doi.org/10.3390/pr9020307Search in Google Scholar
Sutthichaimethee P., Ariyasajjakorn D. Forecast of Carbon Dioxide Emissions from Energy Consumption in Industry Sectors in Thailand Env. and Climate Technologies 2018:22(1):107–117. https://doi.org/10.2478/rtuect-2018-0007Search in Google Scholar
Slisane D., Blumberga D. Assessment of Roadside Particulate Emission Mitigation Possibilities Environmental and Climate Technologies 2013:12(1):4–9. https://doi.org/10.2478/rtuect-2013-0009Search in Google Scholar
RD-03-26-2007. Metodicheskiye ukazaniya po otsenke posledstviy avariynykh vybrosov opasnykh veshchestv (Methodological guidelines for the assessment of the consequences of accidental releases of hazardous substances). Moscow, STC Industrial safety, 2008:27(6):122. (In Russian).Search in Google Scholar
Skob Y., Ugryumov M., Granovskiy E. Numerical assessment of hydrogen explosion consequences in a mine tunnel. International Journal of Hydrogen Energy 2021:46(23):12361–12371. https://doi.org/10.1016/j.ijhydene.2020.09.067Search in Google Scholar
Skob Y., Ugryumov M., Dreval Y. Numerical Modelling of Gas Explosion Overpressure Mitigation Effects. Materials Science Forum 2020:1006:117–122. https://doi.org/10.4028/www.scientific.net/MSF.1006.117Search in Google Scholar
Skob Y., Ugryumov M., Dreval Y., Artemiev S. Numerical Evaluation of Safety Wall Bending Strength during Hydrogen Explosion. Materials Science Forum 2021:1038:430–436. https://doi.org/10.4028/www.scientific.net/MSF.1038.430Search in Google Scholar
Skob Y., Dreval Y., Vasilchenko A., Maiboroda R. Selection of Material and Thickness of the Protective Wall in the Conditions of a Hydrogen Explosion of Various Power. Key Engineering Materials 2023:952:121–129. https://doi.org/10.4028/p-ST1VeTSearch in Google Scholar