IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v345y2023ics0306261923006815.html
   My bibliography  Save this article

Flame resistance and heat barrier performance of sustainable plain-woven jute composite panels for thermal insulation in buildings

Author

Listed:
  • Bhuiyan, M A Rahman
  • Ali, Ayub
  • Akter, Habiba
  • Dayan, M Anisur Rahman
  • Hossen, M Jakir
  • Abden, Md Jaynul
  • Khan, Ayub Nabi

Abstract

Global environmental awareness and stringent regulations laid the foundation for utilizing natural fibers alternative to synthetic fibers in polymeric composites due to their biodegradability and low carbon footprint. This research demonstrates the fabrication of natural jute-reinforced polypropylene biocomposite and investigates its utilization for heat insulation in buildings. Different volume fractions of cellulosic jute fiber as reinforcement were used to fabricate jute-polypropylene (jute-PP) composites, and mechanical and thermal performance was assessed by comparing them with the commercial gypsum board. The developed composites exhibited considerably higher tensile and flexural strength than the commercial specimen because of strong interfacial adhesion between jute fiber and polypropylene. Such stable bonding at the interface of reinforcement and matrix was also confirmed by the fractographic investigation. The thermal characteristics, including the low thermal conductivity and enhanced conductive and radiative heat resistance, revealed the superior thermal barrier performance of jute–PP composites compared to their commercial counterpart. The developed composites also demonstrated almost comparable flame resistance due to the presence of lignin in jute fiber. The thermogravimetric analysis revealed the inferior thermal stability of jute–PP composites at high temperatures. Besides, the low water absorption because of reduced interfacial vacuity indicated the potentiality of using jute–PP composites in the structure with durability. Hence, designing green buildings utilizing such heat-insulating engineered biocomposites is expected to alleviate the burgeoning global carbon dioxide emission associated with the energy consumption of buildings and promote the sustainable growth of this industry.

Suggested Citation

  • Bhuiyan, M A Rahman & Ali, Ayub & Akter, Habiba & Dayan, M Anisur Rahman & Hossen, M Jakir & Abden, Md Jaynul & Khan, Ayub Nabi, 2023. "Flame resistance and heat barrier performance of sustainable plain-woven jute composite panels for thermal insulation in buildings," Applied Energy, Elsevier, vol. 345(C).
  • Handle: RePEc:eee:appene:v:345:y:2023:i:c:s0306261923006815
    DOI: 10.1016/j.apenergy.2023.121317
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261923006815
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2023.121317?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. Abden, Md Jaynul & Tao, Zhong & Pan, Zhu & George, Laurel & Wuhrer, Richard, 2020. "Inclusion of methyl stearate/diatomite composite in gypsum board ceiling for building energy conservation," Applied Energy, Elsevier, vol. 259(C).
    2. Himeur, Yassine & Ghanem, Khalida & Alsalemi, Abdullah & Bensaali, Faycal & Amira, Abbes, 2021. "Artificial intelligence based anomaly detection of energy consumption in buildings: A review, current trends and new perspectives," Applied Energy, Elsevier, vol. 287(C).
    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. Yin, Sihua & Yang, Haidong & Xu, Kangkang & Zhu, Chengjiu & Zhang, Shaqing & Liu, Guosheng, 2022. "Dynamic real–time abnormal energy consumption detection and energy efficiency optimization analysis considering uncertainty," Applied Energy, Elsevier, vol. 307(C).
    2. Ahmed, Gaffer & Kishore, Nanda, 2024. "Synergistic effects on properties of biofuel and biochar produced through co-feed pyrolysis of Erythrina indica and Azadirachta indica biomass," Renewable Energy, Elsevier, vol. 227(C).
    3. Yan, Lei & Tian, Wei & Wang, Hong & Hao, Xing & Li, Zuyi, 2023. "Robust event detection for residential load disaggregation," Applied Energy, Elsevier, vol. 331(C).
    4. Pesantez, Jorge E. & Li, Binbin & Lee, Christopher & Zhao, Zhizhen & Butala, Mark & Stillwell, Ashlynn S., 2023. "A Comparison Study of Predictive Models for Electricity Demand in a Diverse Urban Environment," Energy, Elsevier, vol. 283(C).
    5. James Ogundiran & Ehsan Asadi & Manuel Gameiro da Silva, 2024. "A Systematic Review on the Use of AI for Energy Efficiency and Indoor Environmental Quality in Buildings," Sustainability, MDPI, vol. 16(9), pages 1-30, April.
    6. Sun, Xiaoqin & Lin, Yian & Zhu, Ziyang & Li, Jie, 2022. "Optimized design of a distributed photovoltaic system in a building with phase change materials," Applied Energy, Elsevier, vol. 306(PA).
    7. Latifa A. Yousef & Hibba Yousef & Lisandra Rocha-Meneses, 2023. "Artificial Intelligence for Management of Variable Renewable Energy Systems: A Review of Current Status and Future Directions," Energies, MDPI, vol. 16(24), pages 1-27, December.
    8. Cristina Nichiforov & Antonio Martinez-Molina & Miltiadis Alamaniotis, 2021. "An Intelligent Approach for Performing Energy-Driven Classification of Buildings Utilizing Joint Electricity–Gas Patterns," Energies, MDPI, vol. 14(22), pages 1-11, November.
    9. Couraud, Benoit & Andoni, Merlinda & Robu, Valentin & Norbu, Sonam & Chen, Si & Flynn, David, 2023. "Responsive FLEXibility: A smart local energy system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    10. Alexios Papaioannou & Asimina Dimara & Christoforos Papaioannou & Ioannis Papaioannou & Stelios Krinidis & Christos-Nikolaos Anagnostopoulos & Christos Korkas & Elias Kosmatopoulos & Dimosthenis Ioann, 2024. "Simulation of Malfunctions in Home Appliances’ Power Consumption," Energies, MDPI, vol. 17(17), pages 1-31, September.
    11. Ma, Y. & Tao, Y. & Shi, L. & Liu, Q.G. & Wang, Y. & Tu, J.Y., 2021. "Investigations on the thermal performance of a novel thermal energy storage unit for poor solar conditions," Renewable Energy, Elsevier, vol. 180(C), pages 166-177.
    12. Çimen, Halil & Bazmohammadi, Najmeh & Lashab, Abderezak & Terriche, Yacine & Vasquez, Juan C. & Guerrero, Josep M., 2022. "An online energy management system for AC/DC residential microgrids supported by non-intrusive load monitoring," Applied Energy, Elsevier, vol. 307(C).
    13. Sun, Zhe & Yao, Qiwei & Jin, Huaqiang & Xu, Yingjie & Hang, Wei & Chen, Hongyu & Li, Kang & Shi, Ling & Gu, Jiangping & Zhang, Qinjian & Shen, Xi, 2024. "A novel in-situ sensor calibration method for building thermal systems based on virtual samples and autoencoder," Energy, Elsevier, vol. 297(C).
    14. Haizhou Fang & Hongwei Tan & Ningfang Dai & Zhaohui Liu & Risto Kosonen, 2023. "Hourly Building Energy Consumption Prediction Using a Training Sample Selection Method Based on Key Feature Search," Sustainability, MDPI, vol. 15(9), pages 1-23, May.
    15. Tomasz Śmiałkowski & Andrzej Czyżewski, 2022. "Detection of Anomalies in the Operation of a Road Lighting System Based on Data from Smart Electricity Meters," Energies, MDPI, vol. 15(24), pages 1-23, December.
    16. Wang, Hu & Mao, Lei & Zhang, Heng & Wu, Qiang, 2024. "Multi-prediction of electric load and photovoltaic solar power in grid-connected photovoltaic system using state transition method," Applied Energy, Elsevier, vol. 353(PB).
    17. Koo, Jabeom & Yoon, Sungmin, 2022. "In-situ sensor virtualization and calibration in building systems," Applied Energy, Elsevier, vol. 325(C).
    18. Al-Yasiri, Qudama & Szabó, Márta, 2022. "Energetic and thermal comfort assessment of phase change material passively incorporated building envelope in severe hot Climate: An experimental study," Applied Energy, Elsevier, vol. 314(C).
    19. Borge-Diez, David & Icaza, Daniel & Trujillo-Cueva, Diego Francisco & Açıkkalp, Emin, 2022. "Renewable energy driven heat pumps decarbonization potential in existing residential buildings: Roadmap and case study of Spain," Energy, Elsevier, vol. 247(C).
    20. Ramos, Paulo Vitor B. & Villela, Saulo Moraes & Silva, Walquiria N. & Dias, Bruno H., 2023. "Residential energy consumption forecasting using deep learning models," Applied Energy, Elsevier, vol. 350(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:345:y:2023:i:c:s0306261923006815. 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.