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Evaluating EML Modeling Tools for Insurance Purposes: A Case Study
Author(s) -
Mikael Gustavsson,
Mohammad Shahriari,
Mats Lindgren
Publication year - 2010
Publication title -
international journal of chemical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 25
eISSN - 1687-8078
pISSN - 1687-806X
DOI - 10.1155/2010/104370
Subject(s) - reliability (semiconductor) , refinery , process (computing) , oil refinery , reliability engineering , computer science , risk analysis (engineering) , operations research , actuarial science , engineering , business , power (physics) , physics , quantum mechanics , operating system , waste management
As with any situation that involves economical risk refineries may share their risk with insurers. The decision process generally includes modelling to determine to which extent the process area can be damaged. On the extreme end of modelling the so-called Estimated Maximum Loss (EML) scenarios are found. These scenarios predict the maximum loss a particular installation can sustain. Unfortunately no standard model for this exists. Thus the insurers reach different results due to applying different models and different assumptions. Therefore, a study has been conducted on a case in a Swedish refinery where several scenarios previously had been modelled by two different insurance brokers using two different softwares, ExTool and SLAM. This study reviews the concept of EML and analyses the used models to see which parameters are most uncertain. Also a third model, EFFECTS, was employed in an attempt to reach a conclusion with higher reliability

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