Generalized Disjunctive Programming for Optimum Distillation Column Sequence: a comparison with genetic algorithm and heuristic methods
عنوان مقاله: Generalized Disjunctive Programming for Optimum Distillation Column Sequence: a comparison with genetic algorithm and heuristic methods
شناسه ملی مقاله: ICHEC07_383
منتشر شده در هفتمین کنگره ملی مهندسی شیمی در سال 1390
شناسه ملی مقاله: ICHEC07_383
منتشر شده در هفتمین کنگره ملی مهندسی شیمی در سال 1390
مشخصات نویسندگان مقاله:
Morteza Mahmudimanesh - CAPE Lab, School of Chemical Engineering, Iran University of Science and Technology Narmak, Tehran, Iran, Postal code: ۱۶۸۴۶۱۳۱۱۴
Norollah Kasiri - CAPE Lab, School of Chemical Engineering, Iran University of Science and Technology Narmak, Tehran, Iran, Postal code: ۱۶۸۴۶۱۳۱۱۴
Javad Ivakpour - Research Institute of Petroleum Industry
خلاصه مقاله:
Morteza Mahmudimanesh - CAPE Lab, School of Chemical Engineering, Iran University of Science and Technology Narmak, Tehran, Iran, Postal code: ۱۶۸۴۶۱۳۱۱۴
Norollah Kasiri - CAPE Lab, School of Chemical Engineering, Iran University of Science and Technology Narmak, Tehran, Iran, Postal code: ۱۶۸۴۶۱۳۱۱۴
Javad Ivakpour - Research Institute of Petroleum Industry
An optimization systematic framework is inroduced in this work based on superstructure optimization with mathematical programming for the synthsis of optimum distillation column sequences that is a challenging problem, due to its huge search space. The proposed optimization models are obtained from a systematic modeling procedure where generalized disjunctive programming models are derived using the state task network (STN) superstructure representations. This method has been implemented in the LOGMIP, a GAMS-based software. The results obtained for optimum sequence is compared with genetic algorithm and heuristic method for a five component typical problem
کلمات کلیدی: distillation column sequence, generalized disjunctive programming, optimization, Mixed Integer Non Linear Programming (MINLP)
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/341134/