Valente, Matteo
 
(2023)
Techno-Economic Analysis of Fire Protection Barriers in the Chemical and Process Industry.
[Laurea magistrale], Università di Bologna, Corso di Studio in 
Ingegneria chimica e di processo [LM-DM270], Documento full-text non disponibile
  
 
  
  
        
        
	
  
  
  
  
  
  
  
    
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      Abstract
      The knock-on effects possibly triggered by a fire is responsible for most of domino accidents occurred in chemical and process industry. It mainly depends on the presence of fire protection barriers, as well as on the primary fire scenario and on separation distances between the units. Active and passive safety barriers are largely employed to prevent or delay the initiation or propagation of domino effects. However, a blinkered allocation approach of safety measures based on subjective strategy, which does not consider cascading effects possibly triggered by an accident, can lead to an employment of a safety plan that are not effective in mitigating the consequences of a domino accident.
In the present work, a methodology to support and optimize the decision-making process for fire prevention in chemical environment is proposed.
The methodology can provide an optimal safety plan, in other words an optimal allocation of safety measures, aimed to prevent and mitigate fire escalation, under budget constraint. Moreover, it is able to assess the economic convenience of the implementation of the safety plan, considering both the cost of safety measures and the hypothetical benefits deriving from avoided accidents. Therefore, a cost-effectiveness analysis with an optimization algorithm is used to allocate a limited budget in terms of safety barriers, and the cost- variable decision tree is proposed as a tool to support fire prevention investment decisions. In this regard, an approach by which a cost-variable decision tree analysis can be carried out is presented, taking into account knock-on effects possibly triggered by a fire accident.
For the soul purpose of testing the developed methodology, it has been tested with a simple illustrative case-study representing a tank storage area. The results shows that the proposed methodology can effectively support the decision-making process.
     
    
      Abstract
      The knock-on effects possibly triggered by a fire is responsible for most of domino accidents occurred in chemical and process industry. It mainly depends on the presence of fire protection barriers, as well as on the primary fire scenario and on separation distances between the units. Active and passive safety barriers are largely employed to prevent or delay the initiation or propagation of domino effects. However, a blinkered allocation approach of safety measures based on subjective strategy, which does not consider cascading effects possibly triggered by an accident, can lead to an employment of a safety plan that are not effective in mitigating the consequences of a domino accident.
In the present work, a methodology to support and optimize the decision-making process for fire prevention in chemical environment is proposed.
The methodology can provide an optimal safety plan, in other words an optimal allocation of safety measures, aimed to prevent and mitigate fire escalation, under budget constraint. Moreover, it is able to assess the economic convenience of the implementation of the safety plan, considering both the cost of safety measures and the hypothetical benefits deriving from avoided accidents. Therefore, a cost-effectiveness analysis with an optimization algorithm is used to allocate a limited budget in terms of safety barriers, and the cost- variable decision tree is proposed as a tool to support fire prevention investment decisions. In this regard, an approach by which a cost-variable decision tree analysis can be carried out is presented, taking into account knock-on effects possibly triggered by a fire accident.
For the soul purpose of testing the developed methodology, it has been tested with a simple illustrative case-study representing a tank storage area. The results shows that the proposed methodology can effectively support the decision-making process.
     
  
  
    
    
      Tipologia del documento
      Tesi di laurea
(Laurea magistrale)
      
      
      
      
        
      
        
          Autore della tesi
          Valente, Matteo
          
        
      
        
          Relatore della tesi
          
          
        
      
        
          Correlatore della tesi
          
          
        
      
        
          Scuola
          
          
        
      
        
          Corso di studio
          
          
        
      
        
          Indirizzo
          Ingegneria di processo
          
        
      
        
      
        
          Ordinamento Cds
          DM270
          
        
      
        
          Parole chiave
          Fire safety,Fire prevention,Domino effect,cost-effectiveness analysis,cost variable decision tree analysis,Safety Economics,risk management,Safety decision making
          
        
      
        
          Data di discussione della Tesi
          24 Marzo 2023
          
        
      
      URI
      
      
     
   
  
    Altri metadati
    
      Tipologia del documento
      Tesi di laurea
(NON SPECIFICATO)
      
      
      
      
        
      
        
          Autore della tesi
          Valente, Matteo
          
        
      
        
          Relatore della tesi
          
          
        
      
        
          Correlatore della tesi
          
          
        
      
        
          Scuola
          
          
        
      
        
          Corso di studio
          
          
        
      
        
          Indirizzo
          Ingegneria di processo
          
        
      
        
      
        
          Ordinamento Cds
          DM270
          
        
      
        
          Parole chiave
          Fire safety,Fire prevention,Domino effect,cost-effectiveness analysis,cost variable decision tree analysis,Safety Economics,risk management,Safety decision making
          
        
      
        
          Data di discussione della Tesi
          24 Marzo 2023
          
        
      
      URI
      
      
     
   
  
  
  
  
  
  
    
      Gestione del documento: 
      
        