IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0298731.html
   My bibliography  Save this article

Hybrid optimization algorithm for enhanced performance and security of counter-flow shell and tube heat exchangers

Author

Listed:
  • Ajmeera Kiran
  • Ch Nagaraju
  • J Chinna Babu
  • B Venkatesh
  • Adarsh Kumar
  • Surbhi Bhatia Khan
  • Abdullah Albuali
  • Shakila Basheer

Abstract

A shell and tube heat exchanger (STHE) for heat recovery applications was studied to discover the intricacies of its optimization. To optimize performance, a hybrid optimization methodology was developed by combining the Neural Fitting Tool (NFTool), Particle Swarm Optimization (PSO), and Grey Relational Analysis (GRE). STHE heat exchangers were analyzed systematically using the Taguchi method to analyze the critical elements related to a particular response. To clarify the complex relationship between the heat exchanger efficiency and operational parameters, grey relational grades (GRGs) are first computed. A forecast of the grey relation coefficients was then conducted using NFTool to provide more insight into the complex dynamics. An optimized parameter with a grey coefficient was created after applying PSO analysis, resulting in a higher grey coefficient and improved performance of the heat exchanger. A major and far-reaching application of this study was based on heat recovery. A detailed comparison was conducted between the estimated values and the experimental results as a result of the hybrid optimization algorithm. In the current study, the results demonstrate that the proposed counter-flow shell and tube strategy is effective for optimizing performance.

Suggested Citation

  • Ajmeera Kiran & Ch Nagaraju & J Chinna Babu & B Venkatesh & Adarsh Kumar & Surbhi Bhatia Khan & Abdullah Albuali & Shakila Basheer, 2024. "Hybrid optimization algorithm for enhanced performance and security of counter-flow shell and tube heat exchangers," PLOS ONE, Public Library of Science, vol. 19(3), pages 1-30, March.
  • Handle: RePEc:plo:pone00:0298731
    DOI: 10.1371/journal.pone.0298731
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0298731
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0298731&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0298731?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Adel Ghazikhani & Iman Babaeian & Mohammad Gheibi & Mostafa Hajiaghaei-Keshteli & Amir M. Fathollahi-Fard, 2022. "A Smart Post-Processing System for Forecasting the Climate Precipitation Based on Machine Learning Computations," Sustainability, MDPI, vol. 14(11), pages 1-27, May.
    2. Florides, Georgios & Kalogirou, Soteris, 2007. "Ground heat exchangers—A review of systems, models and applications," Renewable Energy, Elsevier, vol. 32(15), pages 2461-2478.
    3. Mohammed Algarni & Mashhour A. Alazwari & Mohammad Reza Safaei, 2021. "Optimization of Nano-Additive Characteristics to Improve the Efficiency of a Shell and Tube Thermal Energy Storage System Using a Hybrid Procedure: DOE, ANN, MCDM, MOO, and CFD Modeling," Mathematics, MDPI, vol. 9(24), pages 1-30, December.
    4. Azad, Abazar Vahdat & Amidpour, Majid, 2011. "Economic optimization of shell and tube heat exchanger based on constructal theory," Energy, Elsevier, vol. 36(2), pages 1087-1096.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rivera, Jaime A. & Blum, Philipp & Bayer, Peter, 2015. "Ground energy balance for borehole heat exchangers: Vertical fluxes, groundwater and storage," Renewable Energy, Elsevier, vol. 83(C), pages 1341-1351.
    2. Tang, F. & Lahoori, M. & Nowamooz, H. & Rosin-Paumier, S. & Masrouri, F., 2021. "A numerical study into effects of soil compaction and heat storage on thermal performance of a Horizontal Ground Heat Exchanger," Renewable Energy, Elsevier, vol. 172(C), pages 740-752.
    3. Tang, Fujiao & Nowamooz, Hossein, 2018. "Long-term performance of a shallow borehole heat exchanger installed in a geothermal field of Alsace region," Renewable Energy, Elsevier, vol. 128(PA), pages 210-222.
    4. Gao, Jiajia & Li, Anbang & Xu, Xinhua & Gang, Wenjie & Yan, Tian, 2018. "Ground heat exchangers: Applications, technology integration and potentials for zero energy buildings," Renewable Energy, Elsevier, vol. 128(PA), pages 337-349.
    5. Trumpy, Eugenio & Bertani, Ruggero & Manzella, Adele & Sander, Marietta, 2015. "The web-oriented framework of the world geothermal production database: A business intelligence platform for wide data distribution and analysis," Renewable Energy, Elsevier, vol. 74(C), pages 379-389.
    6. Somogyi, Viola & Sebestyén, Viktor & Nagy, Georgina, 2017. "Scientific achievements and regulation of shallow geothermal systems in six European countries – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 934-952.
    7. Shangyuan Chen & Jinfeng Mao & Xu Han & Chaofeng Li & Liyao Liu, 2016. "Numerical Analysis of the Factors Influencing a Vertical U-Tube Ground Heat Exchanger," Sustainability, MDPI, vol. 8(9), pages 1-12, September.
    8. Wu, Zhixiang & Feng, Huijun & Chen, Lingen & Xie, Zhuojun & Cai, Cunguang, 2019. "Pumping power minimization of an evaporator in ocean thermal energy conversion system based on constructal theory," Energy, Elsevier, vol. 181(C), pages 974-984.
    9. Rodríguez, Rafael & Díaz, María B., 2009. "Analysis of the utilization of mine galleries as geothermal heat exchangers by means a semi-empirical prediction method," Renewable Energy, Elsevier, vol. 34(7), pages 1716-1725.
    10. Teguh Hady Ariwibowo & Akio Miyara, 2020. "Thermal Characteristics of Slinky-Coil Ground Heat Exchanger with Discrete Double Inclined Ribs," Resources, MDPI, vol. 9(9), pages 1-17, August.
    11. Li, You-Rong & Du, Mei-Tang & Wu, Shuang-Ying & Peng, Lan & Liu, Chao, 2012. "Exergoeconomic analysis and optimization of a condenser for a binary mixture of vapors in organic Rankine cycle," Energy, Elsevier, vol. 40(1), pages 341-347.
    12. Aste, Niccolò & Adhikari, R.S. & Manfren, Massimiliano, 2013. "Cost optimal analysis of heat pump technology adoption in residential reference buildings," Renewable Energy, Elsevier, vol. 60(C), pages 615-624.
    13. Li, Min & Lai, Alvin C.K., 2012. "Heat-source solutions to heat conduction in anisotropic media with application to pile and borehole ground heat exchangers," Applied Energy, Elsevier, vol. 96(C), pages 451-458.
    14. García-Gil, Alejandro & Vázquez-Suñe, Enric & Alcaraz, Maria M. & Juan, Alejandro Serrano & Sánchez-Navarro, José Ángel & Montlleó, Marc & Rodríguez, Gustavo & Lao, José, 2015. "GIS-supported mapping of low-temperature geothermal potential taking groundwater flow into account," Renewable Energy, Elsevier, vol. 77(C), pages 268-278.
    15. Al-Ameen, Yasameen & Ianakiev, Anton & Evans, Robert, 2017. "Thermal performance of a solar assisted horizontal ground heat exchanger," Energy, Elsevier, vol. 140(P1), pages 1216-1227.
    16. Yu, Yuebin & Li, Haorong & Niu, Fuxin & Yu, Daihong, 2014. "Investigation of a coupled geothermal cooling system with earth tube and solar chimney," Applied Energy, Elsevier, vol. 114(C), pages 209-217.
    17. de Moel, Monique & Bach, Peter M. & Bouazza, Abdelmalek & Singh, Rao M. & Sun, JingLiang O., 2010. "Technological advances and applications of geothermal energy pile foundations and their feasibility in Australia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(9), pages 2683-2696, December.
    18. Heidar Sadeghzadeh & Mehdi Aliehyaei & Marc A. Rosen, 2015. "Optimization of a Finned Shell and Tube Heat Exchanger Using a Multi-Objective Optimization Genetic Algorithm," Sustainability, MDPI, vol. 7(9), pages 1-17, August.
    19. Ghoreishi-Madiseh, Seyed Ali & Sasmito, Agus P. & Hassani, Ferri P. & Amiri, Leyla, 2017. "Performance evaluation of large scale rock-pit seasonal thermal energy storage for application in underground mine ventilation," Applied Energy, Elsevier, vol. 185(P2), pages 1940-1947.
    20. Adriana Greco & Edison Gundabattini & Darius Gnanaraj Solomon & Raja Singh Rassiah & Claudia Masselli, 2022. "A Review on Geothermal Renewable Energy Systems for Eco-Friendly Air-Conditioning," Energies, MDPI, vol. 15(15), pages 1-17, July.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0298731. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.