IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v156y2015icp465-477.html
   My bibliography  Save this article

Enhancement of energy efficiency in a paint curing oven via CFD approach: Case study in an air-conditioning plant

Author

Listed:
  • Niamsuwan, Sathit
  • Kittisupakorn, Paisan
  • Suwatthikul, Ajaree

Abstract

An oven has been commonly employed to cure powder painted on metal parts for an air-conditioning production. There are many options to improve efficiency in fuel use for the paint curing oven; however some options need deep understanding to prove the possibility of thermal performance. In this work, computational fluid dynamic (CFD) modeling and simulation have been applied to study the temperature distribution and the flow pattern in the paint curing oven on a large scale. The CFD model has been validated against real data. The validated CFD model is used to investigate the temperature distribution and the flow pattern for two proposed options: eliminating stored heat and rearranging airflow. Results demonstrate that both cases provide temperature increase of 1.9 and 1.3°C for air compared to the present paint curing oven. It can be concluded that the two proposed options are applicable for further implementation to the present paint curing oven.

Suggested Citation

  • Niamsuwan, Sathit & Kittisupakorn, Paisan & Suwatthikul, Ajaree, 2015. "Enhancement of energy efficiency in a paint curing oven via CFD approach: Case study in an air-conditioning plant," Applied Energy, Elsevier, vol. 156(C), pages 465-477.
    • Handle: RePEc:eee:appene:v:156:y:2015:i:c:p:465-477
    DOI: 10.1016/j.apenergy.2015.07.041
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261915008703
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2015.07.041?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. Defraeye, Thijs, 2014. "Advanced computational modelling for drying processes – A review," Applied Energy, Elsevier, vol. 131(C), pages 323-344.
    2. Chua, K.J. & Chou, S.K. & Yang, W.M. & Yan, J., 2013. "Achieving better energy-efficient air conditioning – A review of technologies and strategies," Applied Energy, Elsevier, vol. 104(C), pages 87-104.
    3. Tekasakul, Perapong & Promtong, Machimontorn, 2008. "Energy efficiency enhancement of natural rubber smoking process by flow improvement using a CFD technique," Applied Energy, Elsevier, vol. 85(9), pages 878-895, September.
    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. Nie, Pu-yan & Yang, Yong-cong & Chen, You-hua & Wang, Zhao-hui, 2016. "How to subsidize energy efficiency under duopoly efficiently?," Applied Energy, Elsevier, vol. 175(C), pages 31-39.
    2. Nie, Pu-Yan & Wang, Chan & Yang, Yon-Cong, 2017. "Comparison of energy efficiency subsidies under market power," Energy Policy, Elsevier, vol. 110(C), pages 144-149.

    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. Jing, Gang & Cai, Wenjian & Zhang, Xin & Cui, Can & Yin, Xiaohong & Xian, Huacai, 2019. "An energy-saving oriented air balancing strategy for multi-zone demand-controlled ventilation system," Energy, Elsevier, vol. 172(C), pages 1053-1065.
    2. Ostanek, Jason K. & Li, Weisi & Mukherjee, Partha P. & Crompton, K.R. & Hacker, Christopher, 2020. "Simulating onset and evolution of thermal runaway in Li-ion cells using a coupled thermal and venting model," Applied Energy, Elsevier, vol. 268(C).
    3. EL-Mesery, Hany S. & EL-Seesy, Ahmed I. & Hu, Zicheng & Li, Yang, 2022. "Recent developments in solar drying technology of food and agricultural products: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 157(C).
    4. Tong, Zheming & Chen, Yujiao & Malkawi, Ali & Liu, Zhu & Freeman, Richard B., 2016. "Energy saving potential of natural ventilation in China: The impact of ambient air pollution," Applied Energy, Elsevier, vol. 179(C), pages 660-668.
    5. Sonthikun, Sonthawi & Chairat, Phaochinnawat & Fardsin, Kitti & Kirirat, Pairoj & Kumar, Anil & Tekasakul, Perapong, 2016. "Computational fluid dynamic analysis of innovative design of solar-biomass hybrid dryer: An experimental validation," Renewable Energy, Elsevier, vol. 92(C), pages 185-191.
    6. Zu, Kan & Qin, Menghao & Cui, Shuqing, 2020. "Progress and potential of metal-organic frameworks (MOFs) as novel desiccants for built environment control: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    7. Mortazavi, Mehdi & Schmid, Michael & Moghaddam, Saeed, 2017. "Compact and efficient generator for low grade solar and waste heat driven absorption systems," Applied Energy, Elsevier, vol. 198(C), pages 173-179.
    8. Mahmood, Muhammad H. & Sultan, Muhammad & Miyazaki, Takahiko & Koyama, Shigeru & Maisotsenko, Valeriy S., 2016. "Overview of the Maisotsenko cycle – A way towards dew point evaporative cooling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 537-555.
    9. Adamczyk, Janusz & Dylewski, Robert, 2017. "The impact of thermal insulation investments on sustainability in the construction sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 421-429.
    10. Laslett, Dean & Carter, Craig & Creagh, Chris & Jennings, Philip, 2017. "A large-scale renewable electricity supply system by 2030: Solar, wind, energy efficiency, storage and inertia for the South West Interconnected System (SWIS) in Western Australia," Renewable Energy, Elsevier, vol. 113(C), pages 713-731.
    11. Andrea Aquino & Pietro Poesio, 2021. "Off-Design Exergy Analysis of Convective Drying Using a Two-Phase Multispecies Model," Energies, MDPI, vol. 14(1), pages 1-36, January.
    12. Zu, Kan & Qin, Menghao, 2021. "Experimental and modeling investigation of water adsorption of hydrophilic carboxylate-based MOF for indoor moisture control," Energy, Elsevier, vol. 228(C).
    13. Ruparathna, Rajeev & Hewage, Kasun & Sadiq, Rehan, 2016. "Improving the energy efficiency of the existing building stock: A critical review of commercial and institutional buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1032-1045.
    14. Thangavelu, Sundar Raj & Myat, Aung & Khambadkone, Ashwin, 2017. "Energy optimization methodology of multi-chiller plant in commercial buildings," Energy, Elsevier, vol. 123(C), pages 64-76.
    15. Xu, Peng & Ma, Xiaoli & Zhao, Xudong & Fancey, Kevin, 2017. "Experimental investigation of a super performance dew point air cooler," Applied Energy, Elsevier, vol. 203(C), pages 761-777.
    16. Jim, C.Y., 2014. "Air-conditioning energy consumption due to green roofs with different building thermal insulation," Applied Energy, Elsevier, vol. 128(C), pages 49-59.
    17. Huang, Yanjun & Khajepour, Amir & Ding, Haitao & Bagheri, Farshid & Bahrami, Majid, 2017. "An energy-saving set-point optimizer with a sliding mode controller for automotive air-conditioning/refrigeration systems," Applied Energy, Elsevier, vol. 188(C), pages 576-585.
    18. Haitao Wang & Ning Lu & Fanghao Wu & Jianfeng Zhai, 2023. "Coupling Computational Fluid Dynamics and EnergyPlus to Optimize Energy Consumption and Comfort in Air Column Ventilation at a Tall High-Speed Rail Station," Sustainability, MDPI, vol. 15(17), pages 1-16, August.
    19. Shi, Long, 2018. "Theoretical models for wall solar chimney under cooling and heating modes considering room configuration," Energy, Elsevier, vol. 165(PB), pages 925-938.
    20. Hossain, Eklas & Roy, Shidhartho & Mohammad, Naeem & Nawar, Nafiu & Dipta, Debopriya Roy, 2021. "Metrics and enhancement strategies for grid resilience and reliability during natural disasters," Applied Energy, Elsevier, vol. 290(C).

    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:156:y:2015:i:c:p:465-477. 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.