دورية أكاديمية

Multi-Objective Optimization for Synthesis Heat Exchanger Network Using TOPSIS Method.

التفاصيل البيبلوغرافية
العنوان: Multi-Objective Optimization for Synthesis Heat Exchanger Network Using TOPSIS Method.
المؤلفون: El Gawad, Mohamed S. Abd, Aly, Said M., Atwa, Ahmed M., Hussein, Mostafa H.
المصدر: Petroleum & Coal; 2023, Vol. 65 Issue 4, p1323-1333, 11p
مصطلحات موضوعية: HEAT exchangers, TOPSIS method, STATISTICAL decision making, CONSERVATION of energy, MANUFACTURING processes, POLYMER networks
مستخلص: The effective utilization and conservation of energy are crucial challenges in industrial process systems. The chemical engineering industry is actively researching the integration of processes via heat exchanger networks synthesis. The strategy presented in this work utilizes recent advancements in pinch technology to investigate the impact of minimum approach temperature variation on energy and capital costs. The multi-objective problem considered in this approach involves minimizing utilities of heating and cooling, minimizing the area of heat exchanger, minimizing irreversibility, and maximizing effectiveness. The technique of order preferences by similarity to an ideal solution (TOPSIS) is applied to determine the optimal heat exchanger network based on the compromise solution concept, which is achieved by selecting the network having the closest Euclidean distance to the perfect solution. The practicality of this methodology is validated by resolving two distinct cases, the first case involve ten streams, the second industrial case is a separating crude oil into its primary constituents namely naphtha, kerosene, diesel and residue which demonstrate that this technique can provide more practical solutions compared to prior literature. Additionally, the study reveals that the novel approach can identify other multi criteria decision making problems with a discrete number of alternatives, criteria and are more cost-effective networks than those produced by alternative techniques. [ABSTRACT FROM AUTHOR]
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قاعدة البيانات: Complementary Index