Amirkabir University of Technology Amirkabir Journal of Mechanical Engineering 2008-6032 48 3 2016 09 22 Synthesis of Optimal Heat-Integrated Distillation Columns Sequence with Mathematical Programming method based on Superstructure Optimization Synthesis of Optimal Heat-Integrated Distillation Columns Sequence with Mathematical Programming method based on Superstructure Optimization 227 238 548 10.22060/mej.2016.548 FA Morteza Mahmudimanesh M.Sc in Chemical Engineering Iran University of Science and Technology School of Chemical Engineering Norollah Kasiri Faculty member of staff Iran University of Science and Technology School of Chemical Engineering Javad Ivakpour Faculty member of staff Reseach Institute of Petroleum Industry Journal Article 2012 03 07 In this paper, the problem of optimal distillation columns sequence determination for a multicomponent distillation system with heat integration between condensers and reboilers of various columns with using mathematical programming approach considered. Existence of nonlinear constraints also discrete and continuous variables in optimization model is reason that the problem will be a Mixed-Integer-Non-Linear-Program (MINLP). MINLP model that obtained from mathematical programming is solved with GAMS. Some of proposed method features are generality and flexibility for defining new operating conditions. In proposed MINLP model, the effect of heat integration on optimal sequence has been considered by simultaneous optimization of sequencing and energy demand. Energy saving using heat integration has become possible by regarding column pressure as a variable in optimization model. The Results obtained from solution of MINLP model for a four components separation, shows 25% saving in total annual cost that includes investment, operation costs and energy consumption. . . In this paper, the problem of optimal distillation columns sequence determination for a multicomponent distillation system with heat integration between condensers and reboilers of various columns with using mathematical programming approach considered. Existence of nonlinear constraints also discrete and continuous variables in optimization model is reason that the problem will be a Mixed-Integer-Non-Linear-Program (MINLP). MINLP model that obtained from mathematical programming is solved with GAMS. Some of proposed method features are generality and flexibility for defining new operating conditions. In proposed MINLP model, the effect of heat integration on optimal sequence has been considered by simultaneous optimization of sequencing and energy demand. Energy saving using heat integration has become possible by regarding column pressure as a variable in optimization model. The Results obtained from solution of MINLP model for a four components separation, shows 25% saving in total annual cost that includes investment, operation costs and energy consumption. . . https://mej.aut.ac.ir/article_548_8d34201a5b85900908db6cae92723617.pdf