Volume 19, Issue 5 (May 2019)                   Modares Mechanical Engineering 2019, 19(5): 1127-1134 | Back to browse issues page

XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Sadri V, Soltani H. Synthesis of Heat Exchanger Networks with Considering Pressure Drop and Finding Optimized Streams Path Inside Tube and Shell. Modares Mechanical Engineering 2019; 19 (5) :1127-1134
URL: http://mme.modares.ac.ir/article-15-22633-en.html
1- Chemical Engineering Department, Engineering Faculty, Ahar Branch, Islamic Azad University, Ahar, Iran
2- Chemical Engineering Department, Engineering Faculty, Ahar Branch, Islamic Azad University, Ahar, Iran , h-soltani@iau-ahar.ac.ir
Abstract:   (6096 Views)
In this research, taking into account the pressure drop of the streams, a simple and useful method is presented for finding the proper path of hot and cold streams inside shell-tube heat exchangers in the synthesis of heat exchangers networks (HENs). Generally, the HENs synthesis by mathematical programming leads to the problems which are answered by Mixed Integer Non Linear Programming (MINLP) methods. Optimization of such formulations results convergence difficulties due to the existence of both continuous and integer variables. In this study, instead of solving simultaneously integer and continuous variables, the genetic algorithm was used to find optimal HEN structure (integer variables). To find optimal values for continuous variables of the network, by categorizing this type of variables into two groups and using Quasi Linear Programming (QLP) instead of the nonlinear programming model (NLP), the complexity of the NLP model solution is also greatly reduced. The optimal values of continuous and integer variables are obtained with respect to a common objective function that reaches the minimum annual cost of the HEN. The comparison of the proposed method with the references shows that this method has the ability to reduce the cost of pumping flows to about 0.76%.
Full-Text [PDF 673 kb]   (2655 Downloads)    
Article Type: Original Research | Subject: Computational Fluid Dynamic (CFD)
Received: 2018/07/1 | Accepted: 2018/11/19 | Published: 2019/05/1

References
1. Smith R. Chemical process design and integration. 2nd Edition. Hoboken: John Wiley & Sons; 2016. [Link]
2. Floudas CA. Nonlinear and mixed-integer optimization: Fundamentals and applications. Oxford: Oxford University Press; 1995. [Link]
3. Shenoy UV. Heat exchanger network synthesis: Process optimization by energy and resource analysis. Houston: Gulf Publishing Company; 1995. [Link]
4. Linnhoff B, Hindmarsh E. The pinch design method for heat exchanger networks. Chemical Engineering Science. 1983;38(5):745-763. [Link] [DOI:10.1016/0009-2509(83)80185-7]
5. Linnhoff B, Mason DR, Wardle I. Understanding heat exchanger networks. Computers and Chemical Engineering. 1979;3(1-4):295-302. [Link] [DOI:10.1016/0098-1354(79)80049-6]
6. Linnhoff B, Institution of Chemical Engineers (Great Britain). User guide on process integration for the efficient use of energy. Oxford: Pergamon Press; 1982. [Link]
7. Linnhoff B, Turner JA. Heat-recovery networks: New insights yield big savings. Chemical Engineering. 1981;88(22):56-70. [Link]
8. Floudas CA, Ciric AR, Grossmann IE. Automatic synthesis of optimum heat exchanger network configurations. AIChE Journal. 1986;32(2):276-290. [Link] [DOI:10.1002/aic.690320215]
9. Grossmann IE, Sargent RWH. Optimum design of heat exchanger networks. Computers and Chemical Engineering. 1978;2(1):1-7. [Link] [DOI:10.1016/0098-1354(78)80001-5]
10. Papoulias SA, Grossmann IE. A structural optimization approach in process synthesis-II: Heat recovery networks. Computers and Chemical Engineering. 1983;7(6):707-721. [Link] [DOI:10.1016/0098-1354(83)85023-6]
11. Lewin DR. A generalized method for HEN synthesis using stochastic optimization-II.: The synthesis of cost-optimal networks. Computers and Chemical Engineering. 1998;22(10):1387-1405. https://doi.org/10.1016/S0098-1354(98)00220-8 [Link] [DOI:10.1016/S0098-1354(98)00221-X]
12. Lewin DR, Wang H, Shalev O. A generalized method for HEN synthesis using stochastic optimization-I. General framework and MER optimal synthesis. Computers and Chemical Engineering. 1998;22(10):1503-1513. [Link] [DOI:10.1016/S0098-1354(98)00220-8]
13. Yu H, Fang H, Yao P, Yuan Y. A combined genetic algorithm/simulated annealing algorithm for large scale system energy integration. Computers and Chemical Engineering. 2000;24(8):2023-2035. [Link] [DOI:10.1016/S0098-1354(00)00601-3]
14. Wei GF, Yao PJ, Luo X, Wilfried R. Study on multi-stream heat exchanger network synthesis with parallel genetic/simulated annealing algorithm. Chinese Journal of Chemical Engineering. 2004;12(1):66-77. [Link]
15. Wei GF, Yao PJ, Luo X, Roetzel W. A parallel genetic algorithm/simulated annealing algorithm for synthesizing multistream heat exchanger networks. Journal of the Chinese Institute of Chemical Engineers. 2004;35(3):285-297. [Link]
16. Lin B, Miller DC. Solving heat exchanger network synthesis problems with Tabu Search. Computers and Chemical Engineering. 2004;28(8):1451-1464. [Link] [DOI:10.1016/j.compchemeng.2003.10.004]
17. Rezaei E, Shafiei S. Heat exchanger networks retrofit by coupling genetic algorithm with NLP and ILP methods. Computers and Chemical Engineering. 2009;33(9):1451-1459. [Link] [DOI:10.1016/j.compchemeng.2009.03.009]
18. Polly GT, Panjeh Shahi MH. Interfacing heat exchanger network synthesis and detailed heat exchanger design. Transactions of the Institute of Chemical Engineers. 1991;69(Part A):445-457. [Link]
19. Zhu XX, Nie XR. Pressure drop considerations for heat exchanger network grassroots design. Computers and Chemical Engineering. 2002;26(12):1661-1676. [Link] [DOI:10.1016/S0098-1354(02)00149-7]
20. Panjeh Shahi MH, Khoshgard A. Design of heat exchanger networks with different heat transfer coefficients according to the Allowable pressure drop flows: A new method of targeting. Journal of Faculty of Engineering, University of Tehran. 2005;38(5):581-592. [Persian] [Link]
21. Frausto-Hernández S, Rico-Ramırez V, Jiménez-Gutiérrez A, Hernández-Castro S. MINLP synthesis of heat exchanger networks considering pressure drop effects. Computers and Chemical Engineering. 2003;27(8-9):1143-1152. [Link] [DOI:10.1016/S0098-1354(03)00042-5]
22. Soltani H, Shafiei S. Heat exchanger network synthesis with considering pressure drop by coupling genetic algorithm with Linear Programming method. The 7th International Chemical Engineering Congress (IChEC), 21-24 November, 2011, Kish, Iran. Tehran: Iranian Association of Chemical Engineers; 2011. [Persian] [Link]
23. Panjeh Shahi MH, Ali Mandegari A, Fallahi HR, Rezaei Dizjikan H. Optimal distribution of pressure drop in PDM designed heat exchanger networks. Iranian Journal of Chemistry and Chemical Engineering. 2005;24(2):1-8. [Persian] [Link]
24. Soltani H, Shafiei S. Heat exchanger networks retrofit with considering pressure drop by coupling genetic algorithm with LP (linear programming) and ILP (integer linear programming) methods. Energy. 2011;36(5):2381-2391. [Link] [DOI:10.1016/j.energy.2011.01.017]
25. Akpomiemie MO, Smith R. Pressure drop considerations with heat transfer enhancement in heat exchanger network retrofit. Applied Thermal Engineering. 2017;116:695-708. [Link] [DOI:10.1016/j.applthermaleng.2017.01.075]
26. Polly GT, Panjeh Shahi MH, Jegede FO. Pressure drop considerations in the retrofit of heat exchanger networks. Transactions of the Institute of Chemical Engineer. 1990;68(Part A):211-220. [Link]

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.