Design and optimization of heat-integrated distillation configurations with variable feed composition by using a Boltzmann-based estimation of distribution algorithm as optimizer

Abstract The economic, energetic, and environmental performance of heat-integrated distillation columns used to separate close-boiling mixtures with variable feed composition is presented. A Boltzmann-based estimation of distribution algorithm was used as optimizer. The total annual cost was defined as the fitness function of the problem. We study three mixtures of hydrocarbons and one mixture of polar compounds. The results show that the BUMDA algorithm leads continuously to obtain good values of the fitness function. The analysis carried out showed that the influence of the feed composition was larger in the energy consumption than in the TAC at each case study. In addition, the best compromise between energy consumption and the total annual cost was obtained in mixtures with a feed composition of 0.75/0.25 for most case studies. These HIDiC configurations showed energy savings between 85 and 87%. Thus, similar reductions in the energy consumption, carbon dioxide emissions and cooling water were obtained. On the other hand, the TAC of the best HIDiC designs varies from HIDiC designs with a reduction of 27% to HIDiC schemes with a TAC 2% larger than the corresponding TAC of the traditional configurations.

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