IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i6p1336-d1354856.html
   My bibliography  Save this article

Multiple Heat Recovery System for an Industrial Thermal Peeling Press Machine—Experimental Study with Energy and Economic Analyses

Author

Listed:
  • Obeida Farhat

    (Laboratoire de Thermique et Energie de Nantes, LTeN, UMR6607, CNRS, Nantes Université, F-44000 Nantes, France
    Energy and Thermo-Fluid Group, Lebanese International University, LIU, Bekaa P.O. Box 146404, Lebanon)

  • Mahmoud Khaled

    (Energy and Thermo-Fluid Group, Lebanese International University, LIU, Bekaa P.O. Box 146404, Lebanon
    Center for Sustainable Energy & Economic Development (SEED), Gulf University for Science & Technology, Mubarak Al-Abdullah P.O. Box 7207, Kuwait)

  • Jalal Faraj

    (Energy and Thermo-Fluid Group, Lebanese International University, LIU, Bekaa P.O. Box 146404, Lebanon
    Energy and Thermo-Fluid Group, The International University of Beirut BIU, Beirut P.O. Box 146404, Lebanon)

  • Farouk Hachem

    (Energy and Thermo-Fluid Group, Lebanese International University, LIU, Bekaa P.O. Box 146404, Lebanon)

  • Cathy Castelain

    (Laboratoire de Thermique et Energie de Nantes, LTeN, UMR6607, CNRS, Nantes Université, F-44000 Nantes, France)

Abstract

The enhancement of energy systems in industrial zones is attracting the attention of researchers from all over the world. At the same time, optimization and advancement in heat recovery systems are now generating major interest in the energy sector. In this context, the present study suggests a new multiple heat recovery system should be applied to an industrial thermal peeling press machine. The new system consists of multiple sources of energy: the heat excess in the chimney, the exhaust gas of the chimney, and the exhaust gas of the boiler. To proceed with testing the potential of the suggested system, a hydraulic thermal peel press machine in the wood industry undergoes different tests to achieve the best configuration that will enable this machine to reach its operational temperature when heating. Five test configurations are proposed, designed, and applied experimentally on this machine. Many parameters were effective during the experimental tests, such as water flow rate, ambient air temperature, and initial water temperature. It was found that the application of the multiple heat recovery system increases the rate of heating from around 7 °C/min to around 13 °C/min. In terms of energy and economy, the “chimney + boiler only” configuration proved to be the best system to apply during the fall and winter seasons.

Suggested Citation

  • Obeida Farhat & Mahmoud Khaled & Jalal Faraj & Farouk Hachem & Cathy Castelain, 2024. "Multiple Heat Recovery System for an Industrial Thermal Peeling Press Machine—Experimental Study with Energy and Economic Analyses," Energies, MDPI, vol. 17(6), pages 1-30, March.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:6:p:1336-:d:1354856
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/6/1336/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/17/6/1336/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Liu, Jizhen & Ma, Lifei & Wang, Qinghua, 2023. "Energy management method of integrated energy system based on collaborative optimization of distributed flexible resources," Energy, Elsevier, vol. 264(C).
    2. Wang, Yong & Wu, Yuankai & Tang, Yingjuan & Li, Qin & He, Hongwen, 2023. "Cooperative energy management and eco-driving of plug-in hybrid electric vehicle via multi-agent reinforcement learning," Applied Energy, Elsevier, vol. 332(C).
    3. Zhang, Hui & Wang, Hong & Zhu, Xun & Qiu, Yong-Jun & Li, Kai & Chen, Rong & Liao, Qiang, 2013. "A review of waste heat recovery technologies towards molten slag in steel industry," Applied Energy, Elsevier, vol. 112(C), pages 956-966.
    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. Suopajärvi, Hannu & Umeki, Kentaro & Mousa, Elsayed & Hedayati, Ali & Romar, Henrik & Kemppainen, Antti & Wang, Chuan & Phounglamcheik, Aekjuthon & Tuomikoski, Sari & Norberg, Nicklas & Andefors, Alf , 2018. "Use of biomass in integrated steelmaking – Status quo, future needs and comparison to other low-CO2 steel production technologies," Applied Energy, Elsevier, vol. 213(C), pages 384-407.
    2. Yang, Zhimin & Zhang, Yanchao & Dong, Qingchun & Lin, Jian & Lin, Guoxing & Chen, Jincan, 2018. "Maximum power output and parametric choice criteria of a thermophotovoltaic cell driven by automobile exhaust," Renewable Energy, Elsevier, vol. 121(C), pages 28-35.
    3. Sun, Yongqi & Shen, Hongwei & Wang, Hao & Wang, Xidong & Zhang, Zuotai, 2014. "Experimental investigation and modeling of cooling processes of high temperature slags," Energy, Elsevier, vol. 76(C), pages 761-767.
    4. Jung, Chung Woo & Song, Joo Young & Kang, Yong Tae, 2018. "Study on ammonia/water hybrid absorption/compression heat pump cycle to produce high temperature process water," Energy, Elsevier, vol. 145(C), pages 458-467.
    5. Shen, Chong & Zhang, Maoyong & Li, Xianting, 2017. "Experimental investigation on the thermal performance of cooling pipes embedded in a graphitization furnace," Energy, Elsevier, vol. 121(C), pages 55-65.
    6. Yongqi Sun & Zuotai Zhang & Lili Liu & Xidong Wang, 2015. "Heat Recovery from High Temperature Slags: A Review of Chemical Methods," Energies, MDPI, vol. 8(3), pages 1-19, March.
    7. Keerthana Sivamayil & Elakkiya Rajasekar & Belqasem Aljafari & Srete Nikolovski & Subramaniyaswamy Vairavasundaram & Indragandhi Vairavasundaram, 2023. "A Systematic Study on Reinforcement Learning Based Applications," Energies, MDPI, vol. 16(3), pages 1-23, February.
    8. Huang, Jintao & Lyu, Sha & Han, He & Wang, Yanjiang & Sun, Haoyang & Su, Jingtao & Liu, Yidong & Min, Yonggang & Sun, Dazhi, 2022. "Enhanced looping biomass/vapour gasification utilizing waste heat from molten copper slags," Energy, Elsevier, vol. 252(C).
    9. Wu, Junjun & Tan, Yu & Li, Peng & Wang, Hong & Zhu, Xun & Liao, Qiang, 2022. "Centrifugal-Granulation-Assisted thermal energy recovery towards low-carbon blast furnace slag treatment: State of the art and future challenges," Applied Energy, Elsevier, vol. 325(C).
    10. Du, Weijian & Li, Mengjie, 2023. "Opening the black box of environmental governance: Environmental target constraints and industrial firm pollution reduction," Energy, Elsevier, vol. 283(C).
    11. Yang, Sheng & Yang, Siyu & Wang, Yifan & Qian, Yu, 2017. "Low grade waste heat recovery with a novel cascade absorption heat transformer," Energy, Elsevier, vol. 130(C), pages 461-472.
    12. Li, Jie & Fotouhi, Abbas & Pan, Wenjun & Liu, Yonggang & Zhang, Yuanjian & Chen, Zheng, 2023. "Deep reinforcement learning-based eco-driving control for connected electric vehicles at signalized intersections considering traffic uncertainties," Energy, Elsevier, vol. 279(C).
    13. Ortega-Fernández, Iñigo & Rodríguez-Aseguinolaza, Javier, 2019. "Thermal energy storage for waste heat recovery in the steelworks: The case study of the REslag project," Applied Energy, Elsevier, vol. 237(C), pages 708-719.
    14. Li, Yuan & Zhu, Lei, 2014. "Cost of energy saving and CO2 emissions reduction in China’s iron and steel sector," Applied Energy, Elsevier, vol. 130(C), pages 603-616.
    15. Senthil Sundaramoorthy & Dipti Kamath & Sachin Nimbalkar & Christopher Price & Thomas Wenning & Joseph Cresko, 2023. "Energy Efficiency as a Foundational Technology Pillar for Industrial Decarbonization," Sustainability, MDPI, vol. 15(12), pages 1-24, June.
    16. Tan, Yu & Wang, Hong & Zhu, Xun & Lv, Yi-Wen & Ding, Yu-Dong & Liao, Qiang, 2020. "Film fragmentation mode: The most suitable way for centrifugal granulation of large flow rate molten blast slag towards high-efficiency waste heat recovery for industrialization," Applied Energy, Elsevier, vol. 276(C).
    17. Albert, Max D.A. & Bennett, Katherine O. & Adams, Charlotte A. & Gluyas, Jon G., 2022. "Waste heat mapping: A UK study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
    18. Pablo Donoso-García & Luis Henríquez-Vargas & Esteban Huerta, 2022. "Waste Heat Recovery from Air Using Porous Media and Conversion to Electricity," Energies, MDPI, vol. 15(15), pages 1-17, August.
    19. Jouhara, Hussam & Almahmoud, Sulaiman & Chauhan, Amisha & Delpech, Bertrand & Bianchi, Giuseppe & Tassou, Savvas A. & Llera, Rocio & Lago, Francisco & Arribas, Juan José, 2017. "Experimental and theoretical investigation of a flat heat pipe heat exchanger for waste heat recovery in the steel industry," Energy, Elsevier, vol. 141(C), pages 1928-1939.
    20. Jiankai Gao & Yang Li & Bin Wang & Haibo Wu, 2023. "Multi-Microgrid Collaborative Optimization Scheduling Using an Improved Multi-Agent Soft Actor-Critic Algorithm," Energies, MDPI, vol. 16(7), pages 1-21, April.

    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:17:y:2024:i:6:p:1336-:d:1354856. 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.