Abstract
In this research, the optimal feed flowrate trajectories, and reaction temperature for autocatalytic esterification of sec-butyl propionate in the semi-batch reactor had been determined using dynamic-nonlinear programming (NLP) based optimization. The dynamic multi-objective optimization (DMOO) problem yielded from this autocatalytic esterification due to contrary objective functions. The DMOO problem was characterized by multiple solutions, which are non-dominated or Pareto solutions. In this work, to generate the Pareto solutions for the chosen objective functions, which maximize conversion and minimize process time, the ε-constraint approach and control vector parameterization (CVP) has been applied. Here, various combinations of conversion and process time were obtained as a result of different optimal temperatures and feed flowrates in each point of Pareto solutions. Finally, these solution methods could benefit industries in evaluating and selecting the trade-offs and operating policies.
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Rohman, F.S., Zahan, K.A., Aziz, N. (2023). Pareto Solution of Autocatalytic Esterification in Semi-batch Reactor Using Control Vector Parameterization (CVP) and ε-Constraint. In: Johari, N.H., Wan Hamzah, W.A., Ghazali, M.F., Setiabudi, H.D., Kumarasamy, S. (eds) Proceedings of the 2nd Energy Security and Chemical Engineering Congress. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-19-4425-3_4
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DOI: https://doi.org/10.1007/978-981-19-4425-3_4
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