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Constrained economic optimization of shell-and-tube heat exchangers using elitist-Jaya algorithm

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  • Rao, R. Venkata
  • Saroj, Ankit

Abstract

This paper explores the use of an elitist-Jaya algorithm for economic optimization of shell-and-tube heat exchanger (STHE) design. Three different optimization problems of STHE are considered in this work. The same problems were earlier attempted by other researchers using genetic algorithm (GA), simulated annealing (SA), non-dominated sorting algorithm (NSGA-II) and design approaches motivated by constructional theory. Jaya algorithm is a newly developed algorithm and it does not require any specific parameters to be tuned except the common control parameters. Elitist version of the algorithm is proposed in this paper to optimize the setup cost and operational cost of STHE simultaneously. Discrete variable optimization is also carried out in order to take the advantage of the standard design available for heat exchanger parts. The effect of common controlling parameters e.g. population size, number of iterations and elite size, is tested by considering different combinations of the same. Furthermore, two other case studies of STHE design are considered from the literature and the performance of the elitist-Jaya algorithm is compared with the recently published results. The results of computational experiments proved the superiority of the proposed algorithm over the latest reported methods used for the optimization of the same problems.

Suggested Citation

  • Rao, R. Venkata & Saroj, Ankit, 2017. "Constrained economic optimization of shell-and-tube heat exchangers using elitist-Jaya algorithm," Energy, Elsevier, vol. 128(C), pages 785-800.
    • Handle: RePEc:eee:energy:v:128:y:2017:i:c:p:785-800
    DOI: 10.1016/j.energy.2017.04.059
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    References listed on IDEAS

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    1. Daróczy, László & Janiga, Gábor & Thévenin, Dominique, 2014. "Systematic analysis of the heat exchanger arrangement problem using multi-objective genetic optimization," Energy, Elsevier, vol. 65(C), pages 364-373.
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    Cited by:

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    2. Shui-Hua Wang & Khan Muhammad & Yiding Lv & Yuxiu Sui & Liangxiu Han & Yu-Dong Zhang, 2018. "Identification of Alcoholism Based on Wavelet Renyi Entropy and Three-Segment Encoded Jaya Algorithm," Complexity, Hindawi, vol. 2018, pages 1-13, January.
    3. Xu, Shuhui & Wang, Yong & Wang, Zhi, 2019. "Parameter estimation of proton exchange membrane fuel cells using eagle strategy based on JAYA algorithm and Nelder-Mead simplex method," Energy, Elsevier, vol. 173(C), pages 457-467.
    4. Cai, Jun & Huai, Xiulan & Xi, Wenxuan, 2018. "An optimal design approach for the annular involute-profile cross wavy primary surface recuperator in microturbine and an application case study," Energy, Elsevier, vol. 153(C), pages 80-89.
    5. Saari, Jussi & Martinez, Clara Mendoza & Kaikko, Juha & Sermyagina, Ekaterina & Mankonen, Aleksi & Vakkilainen, Esa, 2022. "Techno-economic optimization of a district heat condenser in a small cogeneration plant with a novel greedy cuckoo search," Energy, Elsevier, vol. 239(PE).
    6. Ganjehkaviri, A. & Mohd Jaafar, M.N., 2020. "Multi-objective particle swarm optimization of flat plate solar collector using constructal theory," Energy, Elsevier, vol. 194(C).
    7. Yiming Wei & Zengchuan Dong, 2021. "Application of a Novel Jaya Algorithm Based on Chaotic Sequence and Opposition-based Learning in the Multi-objective Optimal Operation of Cascade Hydropower Stations System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(5), pages 1397-1413, March.
    8. Juan José Cartelle Barros & Manuel Lara Coira & María Pilar de la Cruz López & Alfredo del Caño Gochi & Isabel Soares, 2020. "Optimisation Techniques for Managing the Project Sustainability Objective: Application to a Shell and Tube Heat Exchanger," Sustainability, MDPI, vol. 12(11), pages 1-22, June.
    9. Yonathan Heredia-Aricapa & Juan M. Belman-Flores & Jorge A. Soria-Alcaraz & Vicente Pérez-García & Francisco Elizalde-Blancas & Jorge A. Alfaro-Ayala & José Ramírez-Minguela, 2022. "Multi-Objective Optimization of a Multilayer Wire-on-Tube Condenser: Case Study R134a, R600a, and R513A," Energies, MDPI, vol. 15(17), pages 1-14, August.
    10. Wang, Chaoyang & Liu, Ming & Zhao, Yongliang & Yan, Junjie, 2021. "Thermodynamic optimization of the superheater during switching the load transient processes," Energy, Elsevier, vol. 218(C).
    11. Dizaji, Hamed Sadighi & Pourhedayat, Samira & Aldawi, Fayez & Moria, Hazim & Anqi, Ali E. & Jarad, Fahd, 2022. "Proposing an innovative and explicit economic criterion for all passive heat transfer enhancement techniques of heat exchangers," Energy, Elsevier, vol. 239(PC).
    12. Xiao, Wu & Wang, Kaifeng & Jiang, Xiaobin & Li, Xiangcun & Wu, Xuemei & Hao, Ze & He, Gaohong, 2019. "Simultaneous optimization strategies for heat exchanger network synthesis and detailed shell-and-tube heat-exchanger design involving phase changes using GA/SA," Energy, Elsevier, vol. 183(C), pages 1166-1177.
    13. Rizk M. Rizk-Allah & Mahmoud A. Abo-Sinna, 2021. "A comparative study of two optimization approaches for solving bi-level multi-objective linear fractional programming problem," OPSEARCH, Springer;Operational Research Society of India, vol. 58(2), pages 374-402, June.
    14. Yu, Kunjie & Qu, Boyang & Yue, Caitong & Ge, Shilei & Chen, Xu & Liang, Jing, 2019. "A performance-guided JAYA algorithm for parameters identification of photovoltaic cell and module," Applied Energy, Elsevier, vol. 237(C), pages 241-257.

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