IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i18p8209-d1747666.html
   My bibliography  Save this article

Advanced Thermal Insulation Plasters Derived from Hazelnut Shell Waste: A Comprehensive Experimental Research

Author

Listed:
  • Pinar Mert Cuce

    (Department of Architecture, Faculty of Engineering and Architecture, Recep Tayyip Erdogan University, Rize 53100, Turkey
    College of Built Environment, Birmingham City University, Birmingham B4 7BD, UK)

  • Erdem Cuce

    (Department of Mechanical Engineering, Faculty of Engineering and Architecture, Recep Tayyip Erdogan University, Zihni Derin Campus, Rize 53100, Turkey
    University Centre for Research and Development, Chandigarh University, Mohali 140413, India)

  • Emre Alvur

    (Department of Mechanical Engineering, Faculty of Engineering and Architecture, Recep Tayyip Erdogan University, Zihni Derin Campus, Rize 53100, Turkey)

Abstract

Reducing thermal losses through building envelopes remains a key strategy in the pursuit of low-carbon, energy-efficient buildings. This study presents an innovative and sustainable retrofitting approach involving thermal insulation plaster modified with finely ground hazelnut shells, an abundant agricultural by-product in Türkiye. The modified plaster is applied symmetrically on both sides of standard masonry briquettes in varying proportions (2%, 4%, and 6%), and its thermal performance is experimentally assessed via the laboratory-scale coheating test method. The results reveal a substantial reduction in U-values compared to the uninsulated briquette (5.5 W/m 2 K): the 2% shell-modified plaster achieves a U-value of 2.40 W/m 2 K (56.4% improvement), the 4% variant achieves 2.14 W/m 2 K (61.1%), and the 6% formulation performs best at 2.04 W/m 2 K (62.9%). In terms of effective thermal conductivity, the modified plasters exhibit values in the range of 0.0408–0.04856 W/mK. Additionally, the 6% composition exhibits enhanced thermal inertia, delaying internal heat loss and offering extended indoor comfort. All samples demonstrate exceptional measurement repeatability, with day-to-day U-value variation below 2%. These findings surpass thermal performance benchmarks reported in previous studies using bamboo or plaster thickness alterations, and position hazelnut shell-modified plaster as a high-potential solution for sustainable building retrofits. The outcomes offer practical implications for low-cost housing, rural construction, and building refurbishment programmes, while also informing policymakers and material standardisation bodies about scalable bio-based alternatives that align with circular economy and decarbonisation goals.

Suggested Citation

  • Pinar Mert Cuce & Erdem Cuce & Emre Alvur, 2025. "Advanced Thermal Insulation Plasters Derived from Hazelnut Shell Waste: A Comprehensive Experimental Research," Sustainability, MDPI, vol. 17(18), pages 1-23, September.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:18:p:8209-:d:1747666
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/18/8209/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/17/18/8209/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Imma Bortone & Hacer Sakar & Ana Soares, 2022. "Gaps in Regulation and Policies on the Application of Green Technologies at Household Level in the United Kingdom," Sustainability, MDPI, vol. 14(7), pages 1-16, March.
    2. Zhou, Sheng & Tong, Qing & Pan, Xunzhang & Cao, Min & Wang, Hailin & Gao, Ji & Ou, Xunmin, 2021. "Research on low-carbon energy transformation of China necessary to achieve the Paris agreement goals: A global perspective," Energy Economics, Elsevier, vol. 95(C).
    3. Ahmed Abdelrady & Mohamed Hssan Hassan Abdelhafez & Ayman Ragab, 2021. "Use of Insulation Based on Nanomaterials to Improve Energy Efficiency of Residential Buildings in a Hot Desert Climate," Sustainability, MDPI, vol. 13(9), pages 1-17, May.
    4. Ghosh, Aritra & Sundaram, Senthilarasu & Mallick, Tapas K., 2018. "Investigation of thermal and electrical performances of a combined semi-transparent PV-vacuum glazing," Applied Energy, Elsevier, vol. 228(C), pages 1591-1600.
    5. Butt, Afaq A. & de Vries, Samuel B. & Loonen, Roel C.G.M. & Hensen, Jan L.M. & Stuiver, Anthonie & van den Ham, Jonathan E.J. & Erich, Bart S.J.F., 2021. "Investigating the energy saving potential of thermochromic coatings on building envelopes," Applied Energy, Elsevier, vol. 291(C).
    6. Simões, N. & Manaia, M. & Simões, I., 2021. "Energy performance of solar and Trombe walls in Mediterranean climates," Energy, Elsevier, vol. 234(C).
    7. Tan, Yutong & Peng, Jinqing & Luo, Yimo & Luo, Zhengyi & Curcija, Charlie & Fang, Yueping, 2022. "Numerical heat transfer modeling and climate adaptation analysis of vacuum-photovoltaic glazing," Applied Energy, Elsevier, vol. 312(C).
    8. Liu, Xingjiang & Yang, Haotian & Wang, Chaojie & Shen, Chao & Bo, Rui & Hinkle, Laura & Wang, Julian, 2024. "Semi-experimental investigation on the energy performance of photovoltaic double skin façade with different façade materials," Energy, Elsevier, vol. 295(C).
    9. Harish, V.S.K.V. & Kumar, Arun, 2016. "A review on modeling and simulation of building energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 1272-1292.
    10. Jesús M. Blanco & Yokasta García Frómeta & Maggi Madrid & Jesús Cuadrado, 2021. "Thermal Performance Assessment of Walls Made of Three Types of Sustainable Concrete Blocks by Means of FEM and Validated through an Extensive Measurement Campaign," Sustainability, MDPI, vol. 13(1), pages 1-18, January.
    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. Tan, Yutong & Peng, Jinqing & Luo, Yimo & Li, Houpei & Wang, Meng & Zhang, Fujia & Ji, Jie & Song, Aotian, 2023. "Daylight-electrical-thermal coupling model for real-time zero-energy potential analysis of vacuum-photovoltaic glazing," Renewable Energy, Elsevier, vol. 205(C), pages 1040-1056.
    2. Yang, Jianming & Zhuang, Haojie & Liang, Yuying & Cen, Jian & Zhang, Xianyong & Li, Li & Li, Peng & Qiu, Runlong, 2024. "A novel vacuum-photovoltaic glazing integrated thermoelectric cooler/warmer for environmental adaptation: thermal performance modelling," Renewable Energy, Elsevier, vol. 229(C).
    3. Zhang, Guangpeng & Wu, Huijun & Liu, Jia & Liu, Yanchen & Ding, Yujie & Huang, Huakun, 2024. "A review on switchable building envelopes for low-energy buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 202(C).
    4. Tan, Yutong & Peng, Jinqing & Luo, Zhengyi & Luo, Yimo & Ma, Tao & Ji, Jie & Yang, Hongxing & Wang, Fazhi & Zhu, Minfeng, 2023. "Multi-function partitioned design method for photovoltaic curtain wall integrated with vacuum glazing towards zero-energy buildings," Renewable Energy, Elsevier, vol. 218(C).
    5. Wenxiao Chu & Maria Vicidomini & Francesco Calise & Neven Duić & Poul Alborg Østergaard & Qiuwang Wang & Maria da Graça Carvalho, 2022. "Recent Advances in Low-Carbon and Sustainable, Efficient Technology: Strategies and Applications," Energies, MDPI, vol. 15(8), pages 1-30, April.
    6. Vallianos, Charalampos & Candanedo, José & Athienitis, Andreas, 2023. "Application of a large smart thermostat dataset for model calibration and Model Predictive Control implementation in the residential sector," Energy, Elsevier, vol. 278(PA).
    7. Jun-Xi Deng & Xiao Li & Xiao-Juan Li & Tai-Bing Wei, 2023. "Research on the Performance of Recycled-Straw Insulating Concrete and Optimization Design of Matching Ratio," Sustainability, MDPI, vol. 15(12), pages 1-24, June.
    8. Zhu, Qingyuan & Xu, Chengzhen & Pan, Yinghao & Wu, Jie, 2024. "Identifying critical transmission sectors, paths, and carbon communities for CO2 mitigation in global supply chains," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    9. Xiao, Lan & Qin, Liang-Liang & Wu, Shuang-Ying, 2023. "Effect of PV-Trombe wall in the multi-storey building on standard effective temperature (SET)-based indoor thermal comfort," Energy, Elsevier, vol. 263(PB).
    10. Yildiz, B. & Bilbao, J.I. & Sproul, A.B., 2017. "A review and analysis of regression and machine learning models on commercial building electricity load forecasting," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 1104-1122.
    11. Tian, Shen & Shao, Shuangquan & Liu, Bin, 2019. "Investigation on transient energy consumption of cold storages: Modeling and a case study," Energy, Elsevier, vol. 180(C), pages 1-9.
    12. Pan, Zhongjie & Liu, Jia & Wu, Huijun & Luo, Diqian & Huang, Jialong, 2025. "Theoretical-experimental-simulation research on thermal-daylight-electrical performance of PV glazing in high-rise office building in the Greater Bay Area," Applied Energy, Elsevier, vol. 378(PA).
    13. Zha, Yunfei & He, Shunquan & Meng, Xianfeng & Zuo, Hongyan & Zhao, Xiaohuan, 2023. "Heat dissipation performance research between drop contact and immersion contact of lithium-ion battery cooling," Energy, Elsevier, vol. 279(C).
    14. Valerie Eveloy & Dereje S. Ayou, 2019. "Sustainable District Cooling Systems: Status, Challenges, and Future Opportunities, with Emphasis on Cooling-Dominated Regions," Energies, MDPI, vol. 12(2), pages 1-64, January.
    15. Shanyong Wang & Rongwei Zhang & Yancheng Lai, 2025. "Navigating the winds of change: climate policy uncertainty and corporate risk-taking," Economic Change and Restructuring, Springer, vol. 58(3), pages 1-33, June.
    16. Jaesung Park & Myunghwan Oh & Chul-sung Lee, 2019. "Thermal Performance Optimization and Experimental Evaluation of Vacuum-Glazed Windows Manufactured via the In-Vacuum Method," Energies, MDPI, vol. 12(19), pages 1-19, September.
    17. Minjeong Sim & Dongjun Suh & Marc-Oliver Otto, 2021. "Multi-Objective Particle Swarm Optimization-Based Decision Support Model for Integrating Renewable Energy Systems in a Korean Campus Building," Sustainability, MDPI, vol. 13(15), pages 1-18, August.
    18. Gautham Krishnadas & Aristides Kiprakis, 2020. "A Machine Learning Pipeline for Demand Response Capacity Scheduling," Energies, MDPI, vol. 13(7), pages 1-25, April.
    19. Cao, Lihong & Wang, Yueying & Yu, Jinyi & Zhang, Yikai & Yin, Xiaoye, 2024. "The impact of digital economy on low-carbon transition: What is the role of human capital?," Finance Research Letters, Elsevier, vol. 69(PB).
    20. Shi, Zhiwei & Tian, Xinghua & Peng, Qingguo & Huang, Zhixin & Teng, Peng & Yin, Ruixue, 2025. "Effects analysis of hydrogen production from methanol reforming of dual-U reactor for fuel-cell hybrid electric vehicles," Energy, Elsevier, vol. 318(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:jsusta:v:17:y:2025:i:18:p:8209-:d:1747666. 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.