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Perspective for waste upcycling-driven zero energy buildings

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  • Yoon, Sungmin
  • Lee, Jechan

Abstract

This study proposes the novel concept of waste upcycling-driven zero energy building (W-ZEB). W-ZEB aims to accelerate the development of zero-energy buildings by incorporating waste upcycling processes (e.g., waste-to-energy (WtE), insulation material recovery, and biochar used in green roofs), ultimately advancing towards plus-energy building. W-ZEB includes three approaches: (1) generating additional energy through WtE, (2) enhancing building energy efficiency by utilizing advanced building materials recovered from waste, and (3) maintaining all elements and assets of W-ZEB using earnings obtained or saved from waste upcycling and management. To implement W-ZEB effectively, a building energy and waste management system (BEWMS) is suggested to coordinate and optimize energy demand, waste generation, and utilization, contributing to a net zero energy status and zero solid waste to landfills throughout building life cycle. Practical insights and research directions for unlocking the untapped potential of waste upcycling strategies to achieve zero-energy buildings are also provided.

Suggested Citation

  • Yoon, Sungmin & Lee, Jechan, 2024. "Perspective for waste upcycling-driven zero energy buildings," Energy, Elsevier, vol. 289(C).
  • Handle: RePEc:eee:energy:v:289:y:2024:i:c:s0360544223034230
    DOI: 10.1016/j.energy.2023.130029
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    References listed on IDEAS

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    1. Park, Hyeongmin & Joo, Junghee & Kim, Jiwon & Lee, Jechan & Kim, Sung-Kon, 2023. "A sustainable strategy for organic waste upcycling: Concurrent production of energy and Li-ion battery anode from chicken litter," Energy, Elsevier, vol. 278(C).
    2. Kim, Jiwon & Park, Chanyeong & Park, Hoyoung & Han, Jeehoon & Lee, Jechan & Kim, Sung-Kon, 2022. "Upcycling of cattle manure for simultaneous energy recovery and supercapacitor electrode production," Energy, Elsevier, vol. 258(C).
    3. Elisabetta Allevi & Maria Elena Giuli & Ruth Domínguez & Giorgia Oggioni, 2023. "Evaluating the role of waste-to-energy and cogeneration units in district heatings and electricity markets," Computational Management Science, Springer, vol. 20(1), pages 1-49, December.
    4. Rosaria E.C. Amaral & Joel Brito & Matt Buckman & Elicia Drake & Esther Ilatova & Paige Rice & Carlos Sabbagh & Sergei Voronkin & Yewande S. Abraham, 2020. "Waste Management and Operational Energy for Sustainable Buildings: A Review," Sustainability, MDPI, vol. 12(13), pages 1-21, July.
    5. Po-Ching Hwang, Humble & Ku, Cooper Cheng-Yuan & Chao-Yang Huang, Mason, 2023. "Intelligent cleanup scheme for soiled photovoltaic modules," Energy, Elsevier, vol. 265(C).
    6. Lund, Henrik & Østergaard, Poul Alberg & Nielsen, Tore Bach & Werner, Sven & Thorsen, Jan Eric & Gudmundsson, Oddgeir & Arabkoohsar, Ahmad & Mathiesen, Brian Vad, 2021. "Perspectives on fourth and fifth generation district heating," Energy, Elsevier, vol. 227(C).
    7. Hong, Yejin & Yoon, Sungmin & Choi, Sebin, 2023. "Operational signature-based symbolic hierarchical clustering for building energy, operation, and efficiency towards carbon neutrality," Energy, Elsevier, vol. 265(C).
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