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Energy Efficiency in Buildings: Smart Glass Technology Evaluation and Selection Model

Author

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  • Nguyen Van Thanh

    (Department of Logistics and Supply Chain Management, School of Technology, Van Lang University, Ho Chi Minh City, Vietnam)

  • Nattaporn Chattham

    (Department of Physics, Faculty of Science, Kasetsart University, Bangkok 10900, Thailand)

  • Apichart Pattanaporkratana

    (Department of Physics, Faculty of Science, Kasetsart University, Bangkok 10900, Thailand)

  • Chawalit Jeenanunta

    (School of Management Technology, Sirindhorn International Institute of Technology, Thammasat University, Pathum Thani 12120, Thailand)

  • Vannak Seng

    (Department of Automation and Supply Chain Systems Engineering, Faculty of Engineering, Royal University of Phnom Penh, Phnom Penh 120404, Cambodia)

Abstract

In the context of the architecture and construction industries implementing environmentally friendly sustainable solutions, smart glass is also designed using sustainable materials and sustainable operations, contributing to environmental protection efforts. The application of smart glass in large buildings optimizes the buildings’ operation, helping to reduce reliance on air conditioners that consume large amounts of electricity and emit significant amounts of CO 2 into the environment. Additionally, smart glass enhances energy-saving efficiency by intelligently regulating the indoor temperature and natural lighting, thereby reducing overall energy consumption and operational costs. In this study, the authors propose a fuzzy multi-criteria decision-making (MCDM) model to evaluate and select optimal sustainable smart glass technology based on technical, environmental, economic, and social criteria. The model integrates the fuzzy analytic hierarchy process (FAHP) to calculate the weights of the criteria and the Interactive and Multi-criteria Decision-Making in Portuguese Model (TODIM) to rank different smart glass technology alternatives. The findings highlight the most suitable smart glass technology, offering significant benefits in reducing energy consumption while ensuring aesthetic appeal and durability. This study provides a comprehensive approach to integrating sustainability into smart glass design, contributing to the development of green and energy-efficient buildings.

Suggested Citation

  • Nguyen Van Thanh & Nattaporn Chattham & Apichart Pattanaporkratana & Chawalit Jeenanunta & Vannak Seng, 2025. "Energy Efficiency in Buildings: Smart Glass Technology Evaluation and Selection Model," Energies, MDPI, vol. 18(7), pages 1-18, April.
  • Handle: RePEc:gam:jeners:v:18:y:2025:i:7:p:1798-:d:1627085
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    References listed on IDEAS

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    1. Mohamed Alzarooni & Abdul Ghani Olabi & Montaser Mahmoud, 2024. "Multi-Criteria Decision-Making for Selecting Solar Window Film Sheets for Energy Saving in Buildings," Energies, MDPI, vol. 17(15), pages 1-14, July.
    2. Huiru Zhao & Sen Guo, 2014. "Selecting Green Supplier of Thermal Power Equipment by Using a Hybrid MCDM Method for Sustainability," Sustainability, MDPI, vol. 6(1), pages 1-19, January.
    3. Chao Gao & Feng Wang & Xiaobing Hu & James Martinez, 2023. "Research on Sustainable Design of Smart Cities Based on the Internet of Things and Ecosystems," Sustainability, MDPI, vol. 15(8), pages 1-18, April.
    4. Ghosh, Aritra & Norton, Brian, 2018. "Advances in switchable and highly insulating autonomous (self-powered) glazing systems for adaptive low energy buildings," Renewable Energy, Elsevier, vol. 126(C), pages 1003-1031.
    5. Chia-Nan Wang & Ching-Yu Yang & Hung-Chun Cheng, 2019. "Fuzzy Multi-Criteria Decision-Making Model for Supplier Evaluation and Selection in a Wind Power Plant Project," Mathematics, MDPI, vol. 7(5), pages 1-15, May.
    6. Lin, Robert & Lin, Jennifer Shu-Jen & Chang, Jason & Tang, Didos & Chao, Henry & Julian, Peter C, 2008. "Note on group consistency in analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 190(3), pages 672-678, November.
    7. Chung-Min Wu & Ching-Lin Hsieh & Kuei-Lun Chang, 2013. "A Hybrid Multiple Criteria Decision Making Model for Supplier Selection," Mathematical Problems in Engineering, Hindawi, vol. 2013, pages 1-8, September.
    8. Chia-Nan Wang & Van Thanh Nguyen & Hoang Tuyet Nhi Thai & Ngoc Nguyen Tran & Thi Lan Anh Tran, 2018. "Sustainable Supplier Selection Process in Edible Oil Production by a Hybrid Fuzzy Analytical Hierarchy Process and Green Data Envelopment Analysis for the SMEs Food Processing Industry," Mathematics, MDPI, vol. 6(12), pages 1-16, December.
    9. Khoiron Khulud & Ilyas Masudin & Fien Zulfikarijah & Dian Palupi Restuputri & Abdul Haris, 2023. "Sustainable Supplier Selection through Multi-Criteria Decision Making (MCDM) Approach: A Bibliometric Analysis," Logistics, MDPI, vol. 7(4), pages 1-21, December.
    10. Jui-Fang Chang & Chao-Jung Lai & Chia-Nan Wang & Ming-Hsien Hsueh & Van Thanh Nguyen, 2021. "Fuzzy Optimization Model for Decision-Making in Supply Chain Management," Mathematics, MDPI, vol. 9(4), pages 1-16, February.
    11. Paula Donaduzzi Rigo & Graciele Rediske & Carmen Brum Rosa & Natália Gava Gastaldo & Leandro Michels & Alvaro Luiz Neuenfeldt Júnior & Julio Cezar Mairesse Siluk, 2020. "Renewable Energy Problems: Exploring the Methods to Support the Decision-Making Process," Sustainability, MDPI, vol. 12(23), pages 1-27, December.
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