IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v174y2016icp25-36.html
   My bibliography  Save this article

Multi-objective optimization of geometrical parameters of corrugated-undulated heat transfer surfaces

Author

Listed:
  • Wang, Limin
  • Deng, Lei
  • Ji, Chenglong
  • Liang, Erkai
  • Wang, Changxia
  • Che, Defu

Abstract

To achieve a maximum heat transfer capability and a minimum pumping power for corrugated-undulated (CU) heat transfer surfaces, a multi-objectives genetic algorithm was used to obtain the optimal values of the pitch and height of undulated plate (U-plate) and the height of the corrugated plate (C-plate) by using the Pareto optimal strategy. For this purpose, computational fluid dynamics (CFD) simulation, support vector machine (SVM) and the fast non-dominated sorting genetic algorithm were combined together and used for the optimization process. Three dimensional numerical simulations were performed to investigate the effect of geometrical parameters on the thermos-hydraulic performance of CU heat transfer surface. The maximum deviation for the Nusselt number and friction factor between the simulation and the published data were 8.81% and 13.1% respectively when the Reynolds number ranged from 1500 to 10,000. The flow and temperature profile in the CU passage were analyzed. Intensive secondary flows occurred in the C-plate channel and the U-plate channel due to the drag effect between the main flows in the two channels. And the effects of Reynolds number and structure parameters were studied. The change of U-plate height rather than that of U-plate pitch would have a dominant effect on the disturbance influence of U-plate. Besides, two SVM models were trained by the CFD results to predict the Nusselt number and friction factor of flow in CU passages with different geometrical and operational parameters. The comparison between the SVM predictions and the CFD results showed that the SVM models could predict the numerical data with a good accuracy. In addition, two evaluation criteria were proposed from perspectives of the manufacturers and the users, respectively. Finally, a set of optimized solutions were obtained. The optimal values of pumping power ratio and heat transfer area ratio between different CU passages and the standard one were in the range of 0.8–3.1 and 0.5–1.2, respectively. The manufacturers and the users can select the best design points according to their considerations.

Suggested Citation

  • Wang, Limin & Deng, Lei & Ji, Chenglong & Liang, Erkai & Wang, Changxia & Che, Defu, 2016. "Multi-objective optimization of geometrical parameters of corrugated-undulated heat transfer surfaces," Applied Energy, Elsevier, vol. 174(C), pages 25-36.
  • Handle: RePEc:eee:appene:v:174:y:2016:i:c:p:25-36
    DOI: 10.1016/j.apenergy.2016.04.079
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261916305402
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2016.04.079?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Konak, Abdullah & Coit, David W. & Smith, Alice E., 2006. "Multi-objective optimization using genetic algorithms: A tutorial," Reliability Engineering and System Safety, Elsevier, vol. 91(9), pages 992-1007.
    2. Wang, Yu & He, Ya-Ling & Mei, Dan-Hua & Tao, Wen-Quan, 2011. "Optimization design of slotted fin by numerical simulation coupled with genetic algorithm," Applied Energy, Elsevier, vol. 88(12), pages 4441-4450.
    3. Wang, Qiuwang & Zeng, Min & Ma, Ting & Du, Xueping & Yang, Jianfeng, 2014. "Recent development and application of several high-efficiency surface heat exchangers for energy conversion and utilization," Applied Energy, Elsevier, vol. 135(C), pages 748-777.
    4. Zhou, Guo-Yan & Wu, En & Tu, Shan-Tung, 2014. "Optimum selection of compact heat exchangers using non-structural fuzzy decision method," Applied Energy, Elsevier, vol. 113(C), pages 1801-1809.
    5. Sanaye, Sepehr & Hajabdollahi, Hassan, 2010. "Thermal-economic multi-objective optimization of plate fin heat exchanger using genetic algorithm," Applied Energy, Elsevier, vol. 87(6), pages 1893-1902, June.
    6. Sanaye, Sepehr & Dehghandokht, Masoud, 2011. "Modeling and multi-objective optimization of parallel flow condenser using evolutionary algorithm," Applied Energy, Elsevier, vol. 88(5), pages 1568-1577, May.
    7. Varun & Siddhartha, 2010. "Thermal performance optimization of a flat plate solar air heater using genetic algorithm," Applied Energy, Elsevier, vol. 87(5), pages 1793-1799, May.
    8. Hadidi, Amin, 2015. "A robust approach for optimal design of plate fin heat exchangers using biogeography based optimization (BBO) algorithm," Applied Energy, Elsevier, vol. 150(C), pages 196-210.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhang, Chengyu & Gümmer, Volker, 2020. "Multi-objective optimization and system evaluation of recuperated helicopter turboshaft engines," Energy, Elsevier, vol. 191(C).
    2. Maakala, Viljami & Järvinen, Mika & Vuorinen, Ville, 2018. "Optimizing the heat transfer performance of the recovery boiler superheaters using simulated annealing, surrogate modeling, and computational fluid dynamics," Energy, Elsevier, vol. 160(C), pages 361-377.
    3. Han, Xiaojuan & Liu, Dahe & Liu, Jian & Kong, Lingda, 2017. "Sensitivity analysis of acquisition granularity of photovoltaic output power to capacity configuration of energy storage systems," Applied Energy, Elsevier, vol. 203(C), pages 794-807.

    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. Hadidi, Amin, 2015. "A robust approach for optimal design of plate fin heat exchangers using biogeography based optimization (BBO) algorithm," Applied Energy, Elsevier, vol. 150(C), pages 196-210.
    2. Wang, Zhe & Li, Yanzhong, 2016. "A combined method for surface selection and layer pattern optimization of a multistream plate-fin heat exchanger," Applied Energy, Elsevier, vol. 165(C), pages 815-827.
    3. Luo, Xianglong & Yi, Zhitong & Zhang, Bingjian & Mo, Songping & Wang, Chao & Song, Mengjie & Chen, Ying, 2017. "Mathematical modelling and optimization of the liquid separation condenser used in organic Rankine cycle," Applied Energy, Elsevier, vol. 185(P2), pages 1309-1323.
    4. Momeni, Seyed Mohsen & Salehi, Gholamreza & Nimvari, Majid Eshagh, 2018. "Modeling and thermoeconomic optimization of marine diesel charge air cooler," Energy, Elsevier, vol. 162(C), pages 753-763.
    5. Zhang, Chengyu & Gümmer, Volker, 2020. "Multi-objective optimization and system evaluation of recuperated helicopter turboshaft engines," Energy, Elsevier, vol. 191(C).
    6. Lee, Su Kyoung & Lee, Jae Won & Lee, Hoseong & Chung, Jin Taek & Kang, Yong Tae, 2019. "Optimal design of generators for H2O/LiBr absorption chiller with multi-heat sources," Energy, Elsevier, vol. 167(C), pages 47-59.
    7. Wang, Fei-Long & He, Ya-Ling & Tang, Song-Zhen & Kulacki, Francis A. & Tao, Yu-Bing, 2019. "Multi-objective optimization of a dual-layer granular filter for hot gas clean-up by using genetic algorithm," Applied Energy, Elsevier, vol. 248(C), pages 463-474.
    8. De Bellis, Fabio & Catalano, Luciano A., 2012. "CFD optimization of an immersed particle heat exchanger," Applied Energy, Elsevier, vol. 97(C), pages 841-848.
    9. Gupta, Pankaj & Mittal, Garima & Mehlawat, Mukesh Kumar, 2013. "Expected value multiobjective portfolio rebalancing model with fuzzy parameters," Insurance: Mathematics and Economics, Elsevier, vol. 52(2), pages 190-203.
    10. Weifan Zhong & Lijing Du, 2023. "Predicting Traffic Casualties Using Support Vector Machines with Heuristic Algorithms: A Study Based on Collision Data of Urban Roads," Sustainability, MDPI, vol. 15(4), pages 1-18, February.
    11. Cai, Yuhao & Qian, Xin & Su, Ruihang & Jia, Xiongjie & Ying, Jinhui & Zhao, Tianshou & Jiang, Haoran, 2024. "Thermo-electrochemical modeling of thermally regenerative flow batteries," Applied Energy, Elsevier, vol. 355(C).
    12. Shahsavar, Amin & Al-Rashed, Abdullah A.A.A. & Entezari, Sajad & Sardari, Pouyan Talebizadeh, 2019. "Melting and solidification characteristics of a double-pipe latent heat storage system with sinusoidal wavy channels embedded in a porous medium," Energy, Elsevier, vol. 171(C), pages 751-769.
    13. Ahmadi, Mohammad H. & Amin Nabakhteh, Mohammad & Ahmadi, Mohammad-Ali & Pourfayaz, Fathollah & Bidi, Mokhtar, 2017. "Investigation and optimization of performance of nano-scale Stirling refrigerator using working fluid as Maxwell–Boltzmann gases," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 483(C), pages 337-350.
    14. Hausken, Kjell & Levitin, Gregory, 2009. "Minmax defense strategy for complex multi-state systems," Reliability Engineering and System Safety, Elsevier, vol. 94(2), pages 577-587.
    15. Akhlaque Ahmad Khan & Ahmad Faiz Minai & Rupendra Kumar Pachauri & Hasmat Malik, 2022. "Optimal Sizing, Control, and Management Strategies for Hybrid Renewable Energy Systems: A Comprehensive Review," Energies, MDPI, vol. 15(17), pages 1-29, August.
    16. Janssens, Jochen & Van den Bergh, Joos & Sörensen, Kenneth & Cattrysse, Dirk, 2015. "Multi-objective microzone-based vehicle routing for courier companies: From tactical to operational planning," European Journal of Operational Research, Elsevier, vol. 242(1), pages 222-231.
    17. H. Liao & Q. Wu, 2013. "Multi-objective optimization by learning automata," Journal of Global Optimization, Springer, vol. 55(2), pages 459-487, February.
    18. Ahmadi, Mohammad H. & Ahmadi, Mohammad-Ali & Maleki, Akbar & Pourfayaz, Fathollah & Bidi, Mokhtar & Açıkkalp, Emin, 2017. "Exergetic sustainability evaluation and multi-objective optimization of performance of an irreversible nanoscale Stirling refrigeration cycle operating with Maxwell–Boltzmann gas," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 80-92.
    19. Abokersh, Mohamed Hany & Vallès, Manel & Cabeza, Luisa F. & Boer, Dieter, 2020. "A framework for the optimal integration of solar assisted district heating in different urban sized communities: A robust machine learning approach incorporating global sensitivity analysis," Applied Energy, Elsevier, vol. 267(C).
    20. 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.

    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:eee:appene:v:174:y:2016:i:c:p:25-36. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.