Multiobjective Optimization for Synthesizing Compressor-Aided Distillation Sequences with Heat Integration

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• 作者：J. Rafael Alc谩ntara-Avila ; Manabu Kano ; Shinji Hasebe
• 刊名：Industrial & Engineering Chemistry Research
• 出版年：2012
• 出版时间：May 2, 2012
• 年：2012
• 卷：51
• 期：17
• 页码：5911-5921
• 全文大小：486K
• 年卷期：v.51,no.17(May 2, 2012)
• ISSN：1520-5045

文摘

Various column structures, configurations, and energy conservation methods have been proposed to reduce the cost and energy consumption in distillation sequences, such as thermally coupling or heat integration. In this work, a synthesis method of optimal separation sequences including thermally coupled columns is proposed. In the proposed method, vapor recompression of the flow to the condenser and pressure change within thermally coupled columns are taken into account to increase the possibility of heat integration. Furthermore, the energy requirement (ER) was adopted as the objective function as well as the total annual cost (TAC). By solving the multiobjective optimization problem, the relationship between the required annual cost and the amount of energy can be explicitly evaluated, i.e., the necessary cost increase per unit of energy input to the sequence can easily be assessed. A superstructure approach was adopted to enumerate all the candidate distillation sequences which consisted of conventional and thermally coupled columns. Rigorous simulations of each column were effectively used to assign reliable data to the optimization stage. Then, the process synthesis problem was formulated as a mixed integer linear programming (MILP) problem whose objective is to minimize TAC and ER. For two case study problems, Pareto-optimal solutions have been derived. The results of two case studies indicated that nonconventional sequences became the optimal for both cases. Vapor recompression was effective for minimizing the energy requirement.