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Complex industrial processes such as the drying of combustible biomass can be described with partial differential equations and finite volume methods. It is not straightforward to use these models to monitor or analyze process parameters due to the complexity of these methods. We show that reduced order models are capable to overcome this drawback and can be used in model based observers to determine quantities that cannot be measured directly.

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