Quantitative assessment of safety barrier performance in the prevention of domino scenarios triggered by fire
Introduction
Domino accident scenarios triggered by the escalation of fires were responsible of severe accidents that affected the chemical and process industry [1], [2], [3], [4], [5]. Past accident data analysis confirmed that in more than half of the industrial accidents involving a domino effect occurred in the past fifty years escalation was triggered by a primary fire. Secondary targets more frequently affected by escalation were pressurized tanks, atmospheric tanks, process vessels and pipelines [4], [6], [7].
The awareness of the hazards posed by domino effect led to important efforts aimed at the prevention of such scenarios. In the European Union, the legislation on the control of major accident hazard (the so-called “Seveso-III” Directive, 2012/18/EU [8]) includes measures to assess, control and prevent domino effect [3], [9], [10]. Moreover, several technical standards introduce the use of protective systems or barriers to reduce the likelihood or possibility of domino events. In industrial facilities where such hazard is present, protections from escalation is usually obtained adopting multiple safety layers [11] that can include: the basic process control system, safety instrumented systems, passive and active devices, safety shutdown systems, protective systems (post-release actions) and emergency response plans.
The specific feature of escalation due to fires is the time lapse present between the start of secondary events with respect to the start of the primary fire [4], [12], [13], [14]. In other escalation scenarios, as those triggered by overpressure or fragments, the secondary scenarios start almost simultaneously to the primary event. The delay in the start of secondary events in escalation triggered by fire is due to the damage mechanism of secondary vessels when exposed to fire. Actually, time is needed before the temperatures of the shell and of the internal fluid are able to jeopardize the structural integrity of the target vessels [15]. This time lapse, occurring between the start of the primary fire and the failure of the secondary equipment is generally termed “time to failure” (ttf) [15], [16], [17]. The ttf represents a key parameter to describe the resistance of equipment to external fires. The ttf depends on both the characteristics of the primary fire scenarios and the features of the secondary equipment involved in the fire [3], [9], [18], [19], [20]. A key point in the assessment of escalation probability in fire scenarios is that in most cases both factors may be modified by the installation of mitigation barriers and by appropriate emergency measures.
Therefore, an accurate assessment of escalation probability needs to include the analysis of the available fire protection systems and safety barriers. However, an exhaustive approach to the quantitative assessment of protection layers relevant to the prevention or mitigation of fired domino effect is still lacking. Besides, a comprehensive approach to the quantitative evaluation of the performance of all categories of protection layers (passive, active, procedural) in reducing the probability of escalation still represents an open issue.
The present study aims at the integration of a systematic quantitative analysis of safety barrier performance with probabilistic models for the assessment of escalation developed in previous studies [12], [15]. A methodology to assess the performance of safety barriers in the prevention of escalation was developed. The performance of active, passive and procedural safety barriers for escalation prevention was assessed considering both availability and effectiveness, introducing a LOPA (Layer of Protection Analysis) approach. A database of expected performance reference data was obtained for standard safety barriers adopted in escalation prevention in different types of facilities. Equipment vulnerability models based on probit functions were integrated with the LOPA results. Modified escalation probabilities, including the influence of safety barriers, were thus obtained. The approach allowed assessing the reduction in escalation probability provided by each protection layer as well as by the overall system of safeguards implemented. The application to a case-study allowed the exploration of the features and potentialities of the methodology.
Section snippets
Type and action of standard safety barriers
In order to include the action of safety barriers in the assessment of escalation, a categorization of safety barriers needs to be introduced. Actually, different types of safety barriers are effective in delaying or preventing escalation, and the procedure to consider their action in a quantitative assessment of escalation probability is different. Three different categories of barriers were identified, adapting the classification of protection layers proposed by AIChE [21] and in the Aramis
Repository of data: Reference target equipment and reference installations
Since the type of fire protection systems strongly depends on the features of the site and equipment under analysis, it is useful to introduce a repository of data for some of the safety barriers more frequently applied to prevent escalation triggered by fire. Clearly enough, the repository is far from being a complete database including all available safety barriers, and is only intended to provide a first set of data to demonstrate the application of the methodology developed in the present
Case study definition
Fire escalation probability assessment based on expected safety barrier performance data reported in the present study was carrier out considering a sample layout derived from that of an existing industrial installation. An LPG storage (reference installation RI.2) was considered. The layout is reported in Fig. 6a. In order to simplify the case study, only two equipment items are considered: the atmospheric tank T1, containing ethanol, and the pressurized tank T2, storing LPG. The spacing among
Results and discussion
The analysis of the case-study outlined in Section 4 allows understanding the importance of a correct assessment of safety barrier performance in fire escalation assessment. The application of the proposed methodology led to the development of the escalation event tree represented in Fig. 7. It is worth mentioning that due to the relevant spacing among the two units considered, the primary fire radiation affecting the domino target is not as severe as in case of full or partial engulfment.
Conclusions
A methodology for the probabilistic assessment of fire escalation leading to domino scenarios was developed taking into account the role of safety barriers. The methodology allowed considering the actual performance of safety barriers in preventing escalation leading to domino scenarios. The developed procedures allow the calculation of site-specific data for barrier performance, and their update in order to consider barrier degradation and/or improvement. A repository of reference data,
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