Risk Analysis Based on the Criticality Classes and Their Determination Using Accelerating Rate Calorimetry

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Risk Analysis Based on the Criticality Classes and Their Determination Using Accelerating Rate Calorimetry

Popis výsledku v původním jazyce

The scope of this paper is to incorporate thermokinetic parameters determined by Accelerating rate calorimetry (ARC) into risk analysis framework. This approach provides a reliable way for identification and consequent prevention of the risks resulting from the thermal hazards of the assessed processes. ARC is used to determine adiabatic temperature rise (ΔTad), self-accelerating decomposition temperature (SADT) and time to maximum rate (TMR). The other two temperatures are known from the process characteristics: process temperature (Tp) and maximal temperature for technical reasons (MTT). The relation among these temperatures determines the critical class of an assessed process. Event tree analysis (ETA) was used to construct the prefinished event tree for every particular class, which universally describes developments of thermal runaway scenarios. The critical scenarios are consequently analysed using Layer of protection analysis (LOPA) in order to obtain probability of a particular scenario. New method is demonstrated on phenol plant explosion, where the explosion of cumene hydroperoxide (CHP) occurred.

Název v anglickém jazyce

Risk Analysis Based on the Criticality Classes and Their Determination Using Accelerating Rate Calorimetry

Popis výsledku anglicky

The scope of this paper is to incorporate thermokinetic parameters determined by Accelerating rate calorimetry (ARC) into risk analysis framework. This approach provides a reliable way for identification and consequent prevention of the risks resulting from the thermal hazards of the assessed processes. ARC is used to determine adiabatic temperature rise (ΔTad), self-accelerating decomposition temperature (SADT) and time to maximum rate (TMR). The other two temperatures are known from the process characteristics: process temperature (Tp) and maximal temperature for technical reasons (MTT). The relation among these temperatures determines the critical class of an assessed process. Event tree analysis (ETA) was used to construct the prefinished event tree for every particular class, which universally describes developments of thermal runaway scenarios. The critical scenarios are consequently analysed using Layer of protection analysis (LOPA) in order to obtain probability of a particular scenario. New method is demonstrated on phenol plant explosion, where the explosion of cumene hydroperoxide (CHP) occurred.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20402 - Chemical process engineering

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 5th International Conference on Chemical Technology

ISBN

978-80-86238-65-4

ISSN

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e-ISSN

neuvedeno

Počet stran výsledku

6

Strana od-do

"BR2-1"-"BR2-6"

Název nakladatele

Česká společnost průmyslové chemie

Místo vydání

Praha

Místo konání akce

Mikulov

Datum konání akce

10. 4. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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