Abstract
This paper presents a hybrid framework to represent and analyse qualitative knowledge about chemical processes to encourage the generation of intensive design strategies. The methodology includes the mapping of qualitative models into mathematical models to quantify the effect of the proposed process configurations and conditions or to quantify equipment requirements. Models are based on the physicochemical phenomena arranged into abstract (i.e. equipment-independent) functional, structural and behavioural modules. These are consistently implemented using the object-oriented features of Aspen Custom Modeler. This approach is proposed to increase the flexibility, customisation and reusability of models to encourage the implementation and assessment of novel intensified and multifunctional options. The application of the methodology is illustrated with an aromatic nitration case study.
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