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    Item type:Publication, Access status: without files ,
    Energy saving potential of reactive dividing wall columns with azeotropic reaction systems
    (2020-12-14)
    Harding, Laura-Selin
    ;
    Fieg, Georg
    The reactive dividing wall column (RDWC) is a highly integrated process that enables savings in investment and operational costs. Nevertheless, the high grade of integration leads to an extremely complex process behavior, complicating the prediction of the advantageousness of RDWC for a given task during process design. So far, many applications have been proposed in literature for RDWC, but little general knowledge on the influence of reaction system properties on the RDWC has been published. Latter studies are limited to ideal reaction system properties. This article investigates the influence of non-ideal reaction system properties, focusing on azeotropic phase equilibrium. A comprehensive process understanding of how the non-ideal separation properties affect the energy saving potential of RDWC is developed. The results are combined in short heuristics, which allow the process engineer a quick and easy evaluation of the energy saving potential of RDWC for the investigated reaction systems during process synthesis.
    Publicationtype: Journal Article
      146
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    Hybrid global optimization method for the analysis of integrated reaction and separation processes
    (Elsevier, 2018-07)
    Harding, Laura-Selin
    ;
    Schroeder, Moritz
    ;
    Fieg, Georg
    The reactive distillation and the reactive dividing wall column are examples of integrated reaction and separation processes, which show significant savings in investment as well as operational costs. Due to the high grade of integration the behavior of these processes is strongly nonlinear. This results in several local optima and thus the determination of energy optimal designs is quite challenging. Additionally, it is not trivial to understand and predict how the process performs in detail. Still, a fundamental process understanding is indispensable for a safe and energy efficient design of integrated reaction and separation processes. Therefore, a new hybrid global optimization method is presented, which is based on an evolutionary algorithm. This holistic approach is advantageous for optimization problems where the optimal values of the decision variables depend strongly on a certain decision variable. Dependencies of the process parameters can be deduced easily and a comprehensive process analysis can be carried out.
    Publicationtype: Conference Paper
      169
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    Energy minimum design and systematic analysis of the reactive dividing wall column
    (2018)
    Harding, Laura-Selin
    ;
    Fieg, Georg
    The reactive dividing wall column (RDWC) is a highly integrated apparatus, which combines a reactive distillation and a dividing wall column in one single shell. Thus, high savings in investment as well as operational costs can be achieved compared to conventional process alternatives. Due to the high grade of integration the process behavior of the RDWC is strongly nonlinear and extremely complex. Hence, it is not trivial to understand how the process performs in detail and to predict the advantageousness of the RDWC for a given task during conceptual design. Still, for a safe and energy efficient design as well as a steady operation in the industrial praxis it is essential to know, how the process performances and for which tasks the RDWC is more advantageous than less integrated process alternatives. Therefore, the aim of this research is to generate a profound process understanding and identify process applications for the RDWC. The investigations carried out focus on the influence of non-ideal reaction system properties, such as azeotropic phase equilibria. To determine the best process integration level, the energy optimal designs of the RWDC and less integrated process alternatives are determined and compared. By applying this procedure suitable reaction system characteristics can be identified and so, process applications for the RDWC can be derived. Moreover, heuristics regarding the optimal level of process integration can be deduced. This leads to an easier determination of the optimal process integration level and an acceleration of the conceptual design phase.
    Publicationtype: Journal Article
      46