کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6594857 1423732 2018 17 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
How to tighten a commonly used MINLP superstructure formulation for simultaneous heat exchanger network synthesis
ترجمه فارسی عنوان
چطور می توان فرموله سازی فوق العاده مورد استفاده برای ساخت مجتمع شبکه مبدل حرارت را به طور معمول استفاده کرد
کلمات کلیدی
شبکه های مبدل حرارتی، فرمول بندی قوی تر، بهینه سازی جهانی،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی مهندسی شیمی (عمومی)
چکیده انگلیسی
MINLP superstructures for heat exchanger network synthesis allow the simultaneous optimization of utility heat loads, the number of heat exchanger units and their area requirements. The algorithms used to solve these nonlinear non-convex optimization problems solve MILP and NLP sub-problems iteratively to find optimal solutions. If these sub-problems are tightened, which means that the solution space is reduced but still includes all feasible integer solutions, the algorithms can potentially go through the solution space faster as branches can be excluded earlier. In this work, tightening measures for a commonly used MINLP stage-wise superstructure formulation are proposed and the impact of tighter variable bounds and additional inequality constraints is investigated using various case-studies taken from literature. It is shown that tighter formulations help the solver to find global optimal solutions and that the duality gap can be reduced significantly if the test cases could not be solved to global optimality.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Chemical Engineering - Volume 112, 6 April 2018, Pages 48-56
نویسندگان
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