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Solution of MEN synthesis problems using MINLP: Formulations of the Kremser equation

机译:使用MINLP的男性综合问题解决问题:克里姆斯方程式的配方

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One way of solving mass exchange network (MEN) synthesis problems is to formulate the synthesis task as a mixed integer non-linear programming problem. The solution of this optimisation problem delivers the desired MEN. In most cases, the objective function of the optimisation problem is the total annual cost. Assuming linear phase equilibrium relations, capital investment calculations of staged mass exchangers are most commonly based on the Kremser equation. Discontinuous functions, such as the Kremser equation, are difficult to formulate in an MINLP model. A new method is suggested for overcoming the difficulties arising from the discontinuity of the Kremser equation. Our new method is reliable and faster than the big-M, multi-M, simple logic, and convex-hull formulations applied for this particular problem. Our method is tested on a small and a large MEN synthesis problem. The solutions for four well-known MEN synthesis problems are also presented.
机译:解决大规模交换网络(男性)合成问题的一种方式是将合成任务制定为混合整数非线性规划问题。该优化问题的解决方案提供了所需的男性。在大多数情况下,优化问题的目标函数是年度总成本。假设线性相平关系,分阶段质量交换机的资本投资计算最常是基于Kremser方程。诸如Kremser方程的不连续功能难以在MINLP模型中制定。建议克服克雷姆斯方程的不连续性困难的新方法。我们的新方法是可靠且比大的Mult-M,Multi-M,简单逻辑和凸壳配方更快的方法。我们的方法在一个小而大的男性合成问题上进行了测试。还提出了四种着名的男性合成问题的解决方案。

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