Abstract
AbstractIn this work, the dynamic optimization of tubular reactors where nitroxide‐mediated radical polymerization (NMRP) of styrene takes place is performed. The effect of potential manipulated variables is addressed. The system is governed by partial differential equations (PDEs). The PDEs are discretized spatially giving rise to a differential‐algebraic equation (DAE) system. The DAE optimization problem is then solved using a simultaneous approach wherein the differential and the algebraic variables are fully discretized leading to a large‐scale nonlinear programming (NLP) problem. The resulting optimization problem is solved using an interior point algorithm capable of handling large‐scale NLPs. magnified image
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