10.1007/s40095-020-00374-w

Investigation of loops and paths as optimization tools for total annual cost in heat exchanger networks

  • B. U. Ogbonnaya1,
  • O. S. Azeez*2,
  • H. F. Akande3,
  • E. Muzenda4,
  1. Department of Chemical Engineering, Federal University of Technology, Minna, NG
  2. Department of Chemical Engineering, Federal University of Technology, Minna, NG Chemical Engineering Department, Botswana International University of Science and Technology, Palapye, BW
  3. Department of Chemical Engineering, Kaduna Polytechnic, Kaduna, NG
  4. Chemical Engineering Department, Botswana International University of Science and Technology, Palapye, BW Department of Chemical Engineering, University of Johannesburg, Johannesburg, ZA

Published in Issue 2021-01-02

How to Cite

Ogbonnaya, B. U., Azeez, O. S., Akande, H. F., & Muzenda, E. (2021). Investigation of loops and paths as optimization tools for total annual cost in heat exchanger networks. International Journal of Energy and Environmental Engineering, 12(2 (June 2021). https://doi.org/10.1007/s40095-020-00374-w
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Abstract

Abstract This research investigates the effectiveness of loops and paths as embedded in a modified pinch package (Aspen Energy Analyzer), that comprises a blend of traditional pinch technique with mathematical programming, in simultaneous optimization of total annual cost (TAC) in heat exchanger network synthesis (HENS). It uses composite curves, grand composites curves, supertargeting and looping system just as in pinch, as well as linear programming and mixed integer linear programming (MILP) in the design of HENs. The tool was adopted in solving some literature problems that had earlier been solved using pinch and mathematical programming techniques. The results obtained compared well with those of various authors that used different techniques as shown in the tables of cost comparison in this paper. The loop and path optimization technique adopted in this research obtained the least TAC in four out of five problems solved in this paper. This shows that loop and path optimization as available in a software-combining pinch and mathematical programming can be more effective than various other methods that have been adopted in the literature. It further demonstrated that no particular technique can return the lowest TAC for all HENS problems.

Keywords

  • Heat,
  • Loops and paths,
  • Optimization,
  • Pinch analysis,
  • Pollution,
  • Total annual cost

References

  1. Ogbonnaya, B.U.: Optimization of total annual cost of heat exchanger networks using modified B. Tech Thesis, chemical engineering department, federal university of technology, Minna. Nigeria (2018)
  2. Linnhoff (1993) Pinch analysis; a state of the art overview (pp. 503-522)
  3. Krishna and Murty (2008) Synthesis of cost-optimal heat exchanger networks using differential evolution (pp. 1861-1876) https://doi.org/10.1016/j.compchemeng.2007.10.005
  4. Azeez et al. (2013) Supply-based Superstructure synthesis of heat and mass exchanger networks (pp. 184-201)
  5. Azeez et al. (2012) Supply and target based superstructure synthesis of heat and mass exchanger networks (pp. 266-287) https://doi.org/10.1016/j.cherd.2011.07.004
  6. Rezaei and Safiei (2008) An NLP approach for evolution of heat exchanger networks designed by pinch technology 5(1) (pp. 13-21)
  7. Smith, R.: Chemical Process Design and Integration. John Wiley and Sons Ltd, (2005)
  8. Pinch Technology: Basics for beginners extracted from the chemical engineers' resource page;
  9. www.cheresources.com
  10. (Accessed October, 2017)
  11. Yee and Grossmann (1990) Simultaneous optimization models for heat integration: II. Heat exchanger network synthesis 14(10) (pp. 1165-1184) https://doi.org/10.1016/0098-1354(90)85010-8
  12. Isafiade and Fraser (2008) Interval–based MINLP superstructure synthesis of heat exchange networks (pp. 245-257) https://doi.org/10.1016/j.cherd.2007.11.001
  13. Storm, R.M., Price, K.: Differential evolution: a simple and efficient adaptive scheme for global optimization over continuous spaces. J. Global Optim.
  14. 23
  15. (1) (1995)
  16. Aspen Energy Analyzer, [Computer Software] Version 8.8
  17. Unknown (2008) Reference guide
  18. Itoh, J., Shiroko, K., Umeda, T.: Extensive Application of the T-Q Diagram to Heat Integrated System Synthesis. Proceedings (Technical Sessions) International Symposium on Process System Engineering (PSE-82), 92–99, Kyoto, Japan (1982)
  19. Linnhoff and Ahmad (1989) SUPERTARGETING: Optimum synthesis of energy management systems 111(3) (pp. 121-130) https://doi.org/10.1115/1.3231413
  20. Linnhoff et al. (1982) The institute of chemical engineering
  21. Shenoy et al. (1998) Multiple utilities targeting for heat exchanger networks (pp. 259-272) https://doi.org/10.1205/026387698524910
  22. Townsend and Linnhoff (1984) Surface area targets for heat exchanger networks
  23. Ahmad and Smith (1989) Targets and design for minimum number of shells in heat exchanger networks
  24. Linnhoff et al. (1979) Understanding heat exchanger networks https://doi.org/10.1016/0098-1354(79)80049-6
  25. Kemp, I.C.: Pinch analysis and process integration: a user guide on process integration for the efficient use of energy. 2nd Edition, Butterworth-Heinemann. Linacre House, Jordan (2007)
  26. March, L.: Introduction to pinch technology, Targeting house, Cheshire, England, 30–38 (1998)
  27. Grossmann (1985) Carnegie Mellon University
  28. Zamora and Grossmann (1998) A global MINLP optimization for the synthesis of heat exchanger networks with no stream splits 22(3) (pp. 367-384) https://doi.org/10.1016/S0098-1354(96)00346-8
  29. Priyani et al. (2006) Design of heat exchanger networks using randomized algorithm (pp. 1046-1053) https://doi.org/10.1016/j.compchemeng.2006.01.005
  30. Lukman, Y., Suleiman, B. and Azeez, O.S.: Analysis of heat exchanger networks for minimum total annual cost (TAC) using pinch analysis, proceedings from the 1st international engineering conference (IEC), (2015)
  31. Papoulias and Grossmann (1983) A structural optimization approach in process synthesis-II Heat recovery networks https://doi.org/10.1016/0098-1354(83)85023-6
  32. Linnhoff and Flower (1978) Synthesis of heat exchanger networks, I. Systematic generation of energy optimal networks 24(4) (pp. 633-642) https://doi.org/10.1002/aic.690240411
  33. Lee et al. (1970) Branch and bound synthesis of integrated process designs 9(1) (pp. 48-58) https://doi.org/10.1021/i160033a008
  34. Grossmann and Sargent (1978) Optimum design of heat exchanger networks (pp. 1-7) https://doi.org/10.1016/0098-1354(78)80001-5
  35. Bagajewicz et al. (1998) On the state space approach to mass/heat exchanger network design 53(14) (pp. 2595-2621) https://doi.org/10.1016/S0009-2509(98)00014-1
  36. Dolan, W.B., Cummings, P.T., and LeVan, M.D.: Heat exchanger network design by simulated annealing. In Proceedings of the first international conference on foundations of computer aided process operations (1987)
  37. Lewin (1998) A generalized method for HEN synthesis using stochastic optimization- II. The synthesis of cost-optimal networks 22(10) (pp. 1387-1405) https://doi.org/10.1016/S0098-1354(98)00221-X
  38. Lin and Miller (2004) Solving heat exchanger network problems with tabu search 14(7) (pp. 729-750)
  39. Ahmad, S.: Heat exchanger networks: Cost tradeoffs in energy and capital. Ph.D. Thesis. UK: UMIST Manchester (1985)
  40. Ravagnani et al. (2005) Heat exchanger network synthesis and optimization using Genetic Algorithm (pp. 1003-1017) https://doi.org/10.1016/j.applthermaleng.2004.06.024
  41. Zhu et al. (1995) A method for automated heat exchanger synthesis using block decomposition and non-linear optimization 73(11) (pp. 919-930)
  42. Linnhoff and Ahmad (1990) Cost optimum heat exchanger networks 1; Minimum energy and capital using simple models for capital cost 14(7) (pp. 729-750) https://doi.org/10.1016/0098-1354(90)87083-2
  43. Pettersson (2005) Synthesis of large scale heat exchanger networks using a sequential match reduction approach 29(5) (pp. 993-1007) https://doi.org/10.1016/j.compchemeng.2004.11.001