Fast and strongly exothermic reactions can exhibit a well-known phenomenon called “thermal runaway”. Over the years, particular attention has been posed on both the detection of operating parameters at which such a dangerous phenomenon can occur and safe process optimization, that is how to compute a set of operating parameters able to ensure high productivity and, contextually, safe conditions. To achieve these aims, with particular reference to industrial semibatch processes carried out using both isothermal and isoperibolic temperature control mode, a dedicated classification/optimization software has been implemented. Such a software is able to both classify a set of operating parameters from the thermal stability viewpoint and identify the optimum reacting/synthesis conditions using a topological criterion that binds the so-called “QFS region”, where reactants accumulation is low and all the heat released is readily removed by the cooling equipment. During the search for system optimum a number of safety and quality constraints can be taken into account. The software reliability, in terms of both classification and optimization ability, has been tested using both laboratory and industrial scale experimental data. Obtained results confirm a good agreement between theoretical software predictions and experimental evidences.
Classification and optimization of potentially runaway processes using topology tools
COPELLI, SABRINA;TORRETTA, VINCENZO;
2013-01-01
Abstract
Fast and strongly exothermic reactions can exhibit a well-known phenomenon called “thermal runaway”. Over the years, particular attention has been posed on both the detection of operating parameters at which such a dangerous phenomenon can occur and safe process optimization, that is how to compute a set of operating parameters able to ensure high productivity and, contextually, safe conditions. To achieve these aims, with particular reference to industrial semibatch processes carried out using both isothermal and isoperibolic temperature control mode, a dedicated classification/optimization software has been implemented. Such a software is able to both classify a set of operating parameters from the thermal stability viewpoint and identify the optimum reacting/synthesis conditions using a topological criterion that binds the so-called “QFS region”, where reactants accumulation is low and all the heat released is readily removed by the cooling equipment. During the search for system optimum a number of safety and quality constraints can be taken into account. The software reliability, in terms of both classification and optimization ability, has been tested using both laboratory and industrial scale experimental data. Obtained results confirm a good agreement between theoretical software predictions and experimental evidences.
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