Publication detail
Quantitative risk assessment of biogas plant - determination of assumptions and estimation of selected top event
TRÁVNÍČEK, P. KOTEK, L. VÍTĚZ, T.
English title
Quantitative risk assessment of biogas plant - determination of assumptions and estimation of selected top event
Type
journal article in Web of Science
Language
en
Original abstract
Biogas plants are a specific facility from the QRA (Quantitative Risk Assessment) methodologies’ point of view, especially in the case of the determination of the event frequency of accident scenarios for biogas leakage from a gas holder and subsequent initiation. QRA methodologies determine event frequencies for different types of accident events related to vessels made of steel. Gas holders installed at biogas plants are predominantly made of other materials and are often integrated with the fermenter. It is therefore a specific type of gas holder, differing from that which is commonly used in the chemical industry. In addition, long-term experience is not available for the operation of biogas plants, unlike in the chemical industry. The event frequencies listed in the QRA methodologies are not relevant for the risk assessment of biogas plants. This work is focused on setting the prerequisites for QRA of biogas storage, including for example: information on hazardous chemical substances occurring at biogas plants, their classification, and information on the construction of integrated gas holders. For the purpose of the work, a scenario was applied where the greatest damage (to life or property) is expected. This scenario is the leakage of the total volume of hazardous gas substance from the gas holder and subsequent initiation. Based on this information, a “tree” was processed for “Fault Tree Analysis” (FTA), and frequencies were estimated for each event. Thereafter, an “Event Tree Analysis” was carried out. This work follows up on a discussion by experts on the determination of scenario frequencies for biogas plants that was conducted in the past.
English abstract
Biogas plants are a specific facility from the QRA (Quantitative Risk Assessment) methodologies’ point of view, especially in the case of the determination of the event frequency of accident scenarios for biogas leakage from a gas holder and subsequent initiation. QRA methodologies determine event frequencies for different types of accident events related to vessels made of steel. Gas holders installed at biogas plants are predominantly made of other materials and are often integrated with the fermenter. It is therefore a specific type of gas holder, differing from that which is commonly used in the chemical industry. In addition, long-term experience is not available for the operation of biogas plants, unlike in the chemical industry. The event frequencies listed in the QRA methodologies are not relevant for the risk assessment of biogas plants. This work is focused on setting the prerequisites for QRA of biogas storage, including for example: information on hazardous chemical substances occurring at biogas plants, their classification, and information on the construction of integrated gas holders. For the purpose of the work, a scenario was applied where the greatest damage (to life or property) is expected. This scenario is the leakage of the total volume of hazardous gas substance from the gas holder and subsequent initiation. Based on this information, a “tree” was processed for “Fault Tree Analysis” (FTA), and frequencies were estimated for each event. Thereafter, an “Event Tree Analysis” was carried out. This work follows up on a discussion by experts on the determination of scenario frequencies for biogas plants that was conducted in the past.
Keywords in English
Biogas; Fault tree analysis; Leakage; QRA; Scenarios
Released
15.05.2019
Publisher
Budapest University of Technology and Economics
Location
Budapest
ISSN
0324-5853
Volume
63
Number
3
Pages from–to
397–405
Pages count
9
BIBTEX
@article{BUT160541,
author="Petr {Trávníček} and Luboš {Kotek} and Tomáš {Vítěz},
title="Quantitative risk assessment of biogas plant – determination of assumptions and estimation of selected top event",
year="2019",
volume="63",
number="3",
month="May",
pages="397--405",
publisher="Budapest University of Technology and Economics",
address="Budapest",
issn="0324-5853"
}