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Bosch J.,Swissi Instituto Suizo Of Seguridad | Pey A.,Swissi Instituto Suizo Of Seguridad
Chemical Engineering Transactions | Year: 2013

In this paper an accident caused by the loss of control of a chemical reaction is analysed. Though the loss of control did not generate an extreme temperature and pressure increase, the reaction produced Hydrogen Chloride, which was released at a high rate from the reaction mass and finally released to the atmosphere. The aim of this study is to describe the triggering causes, to assess the consequences of the toxic dispersion and to propose the safety measures that should have been in place to prevent the accident. The reaction of interest had been studied during its development stage and carried out in the past in another production site of the same company with no incidents. Despite the knowledge available, the accident took place. These facts show the importance of the process design and the Management of Change (MOC) procedures. © 2013, AIDIC Servizi S.r.l.

Peya A.,Swissi Instituto Suizo Of Seguridad | Lerenaa P.,Swissi Instituto Suizo Of Seguridad
Chemical Engineering Transactions | Year: 2013

Industrial activities fall under the scope of the Seveso Directive as a function of the amount of dangerous substances present in the site. In this sense, as defined in point 12 of Art. 3 of the New Seveso III Directive, 'the 'presence of dangerous substances' means the actual or anticipated presence of dangerous substances in the establishment, or of dangerous substances which it is reasonable to foresee may be generated during loss of control of the processes, including storage activities, in any installation within the establishment'. Experience shows that the requirement of declaring the presence of dangerous substances due to a loss of control of an industrial chemical process is hard to fulfil; in first place due to the complexity of defining a loss of control scenario and secondly because of the lack of information on the substances that may be generated when processes do not follow the desired reactive behaviour. Since the behaviour of chemical substances on a chemical reaction does not follow a random path, this is an interesting and suitable field where to apply data mining techniques. These techniques intend to identify empirical regularities observed over a large data set, which are believed to be useful with substance prediction purposes. This paper explores different possible techniques that can be applied with the purpose of predicting the substances that may be generated under loss of control conditions. Suitability of different techniques is evaluated by measuring its accuracy on the prediction of known scenarios.

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