Conference article

Parameter estimation using Bayesian approach for a model of Pressure Peaking Phenomena-ignited H2 releases

Agnieszka Weronika Lach
Process, Energy and Environmental Technology, University of South-Eastern Norway, Kjølnes Ring 53 3916 Norway

Torbjørn Grande Østby
Process, Energy and Environmental Technology, University of South-Eastern Norway, Kjølnes Ring 53 3916 Norway

Download articlehttps://doi.org/10.3384/ecp20176443

Published in: Proceedings of The 61st SIMS Conference on Simulation and Modelling SIMS 2020, September 22-24, Virtual Conference, Finland

Linköping Electronic Conference Proceedings 176:63, p. 443-450

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Published: 2021-03-03

ISBN: 978-91-7929-731-2

ISSN: 1650-3686 (print), 1650-3740 (online)

Abstract

The aim of this paper is to estimate the parameters of the model of Pressure Peaking Phenomena (PPP). This project focuses on the investigation of the overpressures arising from the ignited hydrogen releases in 14.9m3 enclosure (explosive chamber) through a 4mm nozzle. The various ventilation areas and mass flow rates were applied in 31 tests. The controlled variables for experiments are mass flow rate (MFR, g/s), ventilation area (Av, m2) and time of hydrogen releases (t, s). The Bayesian approach was implemented in the parameter estimation using Markov chain Monte Carlo method for simulations. The discharge coefficient and heat loss coefficient has been analyzed and gave by posterior distribution.

Keywords

pressure peaking phenomena, hydrogen safety, Bayesian analysis, parameter estimation, MCMC

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