IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i9p2225-d353572.html
   My bibliography  Save this article

Study of Heat Transfer and the Hydrodynamic Performance of Gas–Solid Heat Transfer in a Vertical Sinter Cooling Bed Using the CFD-Taguchi-Grey Relational Analysis Method

Author

Listed:
  • Junpeng Fu

    (Department of Thermal Engineering, SEP Key Laboratory of Eco-Industry, School of Metallurgy, Northeastern University, Shenyang 110819, China)

  • Jiuju Cai

    (Department of Thermal Engineering, SEP Key Laboratory of Eco-Industry, School of Metallurgy, Northeastern University, Shenyang 110819, China)

Abstract

The vertical sinter cooling bed (VSCB) is a high-efficiency energy-saving and environmentally friendly waste heat recovery equipment. In this study, a computational fluid dynamics (CFD) convection model was established to reveal the typical factors on the thermodynamic performance in VSCB. Indeed, a multiple performance optimal algorithm based on the Taguchi-grey relational analysis (GRA) method was first applied to investigate the effects of geometric and operational factors, including the diameter of the bed, height of the bed, air mass flow rate, air inlet temperature, and sinter mass flow rate, on improving the heat transfer ( Ex ) and hydrodynamic performance ( P drop ) and obtain the optimum combination of each factor in VSCB. The results found that the diameter of the bed was the most influential factor contributing the multiple types of performance with a contribution rate of 70.51%, followed by the air mass flow rate (15.84%), while the height of the bed (0.27%) exerted a limited effect on the performance of multiple processes. The optimal combination of factors (A 1 B 5 C 5 D 5 E 1 ) was compared with the initially selected parameters by performing a confirmation test. The performances of heat transfer and hydrodynamics were improved by the Taguchi with the GRA method.

Suggested Citation

  • Junpeng Fu & Jiuju Cai, 2020. "Study of Heat Transfer and the Hydrodynamic Performance of Gas–Solid Heat Transfer in a Vertical Sinter Cooling Bed Using the CFD-Taguchi-Grey Relational Analysis Method," Energies, MDPI, vol. 13(9), pages 1-30, May.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:9:p:2225-:d:353572
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/9/2225/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/9/2225/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zheng, Ying & Cai, Jiu-ju & Dong, Hui & Feng, Jun-sheng & Liu, Jing-yu, 2019. "Experimental investigation of volumetric exergy transfer coefficient in vertical moving bed for sinter waste heat recovery," Energy, Elsevier, vol. 167(C), pages 428-439.
    2. Bademlioglu, A.H. & Canbolat, A.S. & Kaynakli, O., 2020. "Multi-objective optimization of parameters affecting Organic Rankine Cycle performance characteristics with Taguchi-Grey Relational Analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 117(C).
    3. Jeffrey Kuo, Chung-Feng & Su, Te-Li & Jhang, Po-Ruei & Huang, Chao-Yang & Chiu, Chin-Hsun, 2011. "Using the Taguchi method and grey relational analysis to optimize the flat-plate collector process with multiple quality characteristics in solar energy collector manufacturing," Energy, Elsevier, vol. 36(5), pages 3554-3562.
    4. Liu, Yan & Yang, Jian & Wang, Jing-yu & Ding, Xu-gang & Cheng, Zhi-long & Wang, Qiu-wang, 2015. "Prediction, parametric analysis and bi-objective optimization of waste heat utilization in sinter cooling bed using evolutionary algorithm," Energy, Elsevier, vol. 90(P1), pages 24-35.
    5. Liu, Yan & Yang, Jian & Wang, Jin & Cheng, Zhi-long & Wang, Qiu-wang, 2014. "Energy and exergy analysis for waste heat cascade utilization in sinter cooling bed," Energy, Elsevier, vol. 67(C), pages 370-380.
    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. Cheng, Zhilong & Tan, Zhoutuo & Guo, Zhigang & Yang, Jian & Wang, Qiuwang, 2020. "Recent progress in sustainable and energy-efficient technologies for sinter production in the iron and steel industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    2. Pahlevaninezhad, Masoud & Davazdah Emami, Mohsen & Panjepour, Masoud, 2014. "The effects of kinetic parameters on combustion characteristics in a sintering bed," Energy, Elsevier, vol. 73(C), pages 160-176.
    3. Roozbeh Vaziri & Akeem Adeyemi Oladipo & Mohsen Sharifpur & Rani Taher & Mohammad Hossein Ahmadi & Alibek Issakhov, 2021. "Efficiency Enhancement in Double-Pass Perforated Glazed Solar Air Heaters with Porous Beds: Taguchi-Artificial Neural Network Optimization and Cost–Benefit Analysis," Sustainability, MDPI, vol. 13(21), pages 1-18, October.
    4. Pan, Jeng-Shyang & Hu, Pei & Chu, Shu-Chuan, 2021. "Binary fish migration optimization for solving unit commitment," Energy, Elsevier, vol. 226(C).
    5. Xing Tian & Jian Yang & Zhigang Guo & Qiuwang Wang & Bengt Sunden, 2020. "Numerical Study of Heat Transfer in Gravity-Driven Particle Flow around Tubes with Different Shapes," Energies, MDPI, vol. 13(8), pages 1-15, April.
    6. Xiao, Qinge & Li, Congbo & Tang, Ying & Pan, Jian & Yu, Jun & Chen, Xingzheng, 2019. "Multi-component energy modeling and optimization for sustainable dry gear hobbing," Energy, Elsevier, vol. 187(C).
    7. Wu, Le & Yang, Yong & Yan, Ting & Wang, Yuqi & Zheng, Lan & Qian, Kun & Hong, Furong, 2020. "Sustainable design and optimization of co-processing of bio-oil and vacuum gas oil in an existing refinery," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
    8. Xia, Xiaoxia & Yang, Chengwu & Wang, Zhiqi & Sun, Tong & Zhang, Hualong & Wu, Jinhao, 2024. "Multi-objective optimization of the dual-pressure organic Rankine cycle system based on the orthogonal design method under different external conditions," Energy, Elsevier, vol. 296(C).
    9. Fan, Xiaoyu & Ji, Wei & Li, Junxian & Gao, Zhaozhao & Chen, Liubiao & Wang, Junjie, 2024. "Advancing liquid air energy storage with moving packed bed: Development and analysis from components to system level," Applied Energy, Elsevier, vol. 355(C).
    10. Chenyi Xu & Zhichun Liu & Shicheng Wang & Wei Liu, 2019. "Numerical Simulation and Optimization of Waste Heat Recovery in a Sinter Vertical Tank," Energies, MDPI, vol. 12(3), pages 1-19, January.
    11. Guo, Zhigang & Zhang, Shang & Tian, Xing & Yang, Jian & Wang, Qiuwang, 2020. "Numerical investigation of tube oscillation in gravity-driven granular flow with heat transfer by discrete element method," Energy, Elsevier, vol. 207(C).
    12. Konstantin Biel & Christoph H. Glock, 2017. "Prerequisites of efficient decentralized waste heat recovery and energy storage in production planning," Journal of Business Economics, Springer, vol. 87(1), pages 41-72, January.
    13. Chung-Feng Jeffrey Kuo & Sheng-Siang Syu & Chung-Yang Shih & Wei-Lun Lan & Chao-Yang Huang, 2017. "Optimization and practical verification of system configuration parameter design for a photovoltaic thermal system combined with a reflector," Journal of Intelligent Manufacturing, Springer, vol. 28(4), pages 1017-1029, April.
    14. Dongwei Liu & Jilili Abuduwaili & Lixin Wang, 2015. "Salt dust storm in the Ebinur Lake region: its 50-year dynamic changes and response to climate changes and human activities," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 77(2), pages 1069-1080, June.
    15. Zude Cheng & Haitao Wang & Junsheng Feng & Yongfang Xia & Hui Dong, 2021. "Energy and Exergy Efficiency Analysis of Fluid Flow and Heat Transfer in Sinter Vertical Cooler," Energies, MDPI, vol. 14(15), pages 1-18, July.
    16. Jiang, Binfan & Xia, Dehong & Zhang, Huili & Pei, Hao & Liu, Xiangjun, 2020. "Effective waste heat recovery from industrial high-temperature granules: A Moving Bed Indirect Heat Exchanger with embedded agitation," Energy, Elsevier, vol. 208(C).
    17. Zheng, Ying & Cai, Jiu-ju & Dong, Hui & Feng, Jun-sheng & Liu, Jing-yu, 2019. "Experimental investigation of volumetric exergy transfer coefficient in vertical moving bed for sinter waste heat recovery," Energy, Elsevier, vol. 167(C), pages 428-439.
    18. Bademlioglu, A.H. & Canbolat, A.S. & Kaynakli, O., 2020. "Multi-objective optimization of parameters affecting Organic Rankine Cycle performance characteristics with Taguchi-Grey Relational Analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 117(C).
    19. Feng, Jun-sheng & Dong, Hui & Gao, Jian-ye & Liu, Jing-yu & Liang, Kai, 2016. "Exergy transfer characteristics of gas-solid heat transfer through sinter bed layer in vertical tank," Energy, Elsevier, vol. 111(C), pages 154-164.
    20. Shuozhuo Hu & Zhen Yang & Jian Li & Yuanyuan Duan, 2021. "A Review of Multi-Objective Optimization in Organic Rankine Cycle (ORC) System Design," Energies, MDPI, vol. 14(20), pages 1-36, October.

    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:gam:jeners:v:13:y:2020:i:9:p:2225-:d:353572. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.