Abstract
Abstract Hydroxymethylfurfural (HMF) is an organic compound that occurs in numerous foods and is used as feedstock in a variety of chemical processes. HMF can be hydrogenated to form 2,5-Dimethylfuran (DMF), which is an important component in biofuel production. Several kinetic models have been proposed in literature for this hydrogenation reaction, including power law and Langmuir-Hinshelwood-Hougen-Watson (LHHW) models based on reaction species. A critical aspect to address is the parametric identifiability in these models, i.e. the correct estimation of model parameters from experimental data. In this paper, a two-step identifiability approach is proposed exploiting model-based design of experiments (MBDoE) techniques to assess the identifiability of candidate kinetic models of HMF hydrogenation at variable experimental conditions in a batch reaction system. Information maps indicate the most informative regions of the experimental design space to be used to precisely estimate the kinetic model parameters.
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