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- W4302759907 abstract "Achieving energy-optimized buildings have long been amongst top priorities in building sector and increasingly led designers towards implementing new materials and design practices. Despite being beneficial at the first glance, over-implementation of these options can impose unavoidable burdens on environment, economy, and society, specifically regarding their construction and demolition waste (C&DW) disposal. To remedy this issue, simultaneous incorporation of all C&DW impact categories into energy-optimized designs is the ideal comprehensive solution. However, such approach concludes in resolving a complex multi-objective optimization problem with several objectives. Therefore, the present study proposed a conceptual sustainability-oriented model that benefits from a novel accumulated negative sustainability indicator (ANSI) with a strong potential of justifying all C&DW impact categories into one quantitative indicator. ANSI can be applied in conjunction with other energy-related indicators in an optimization structure and result in design solutions that not only are energy-efficient but also have minimum adverse impacts on sustainability in post-demolition era. A case-study under different scenarios has been performed to elucidate and evaluate the applicability and validity of the proposed model. The results showed its remarkable potential in performing as a strong alternative for the outlined complex multi-objective optimization with 9% variation in electricity demand. Comparing this model with the regular lifecycle analysis (LCA) shows a remarkable superiority in fulfilling sustainability for periods after the building's existence by over 60%." @default.
- W4302759907 created "2022-10-07" @default.
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- W4302759907 date "2022-12-01" @default.
- W4302759907 modified "2023-09-27" @default.
- W4302759907 title "Integrating construction and demolition waste impact categories into building energy optimization through a conceptual sustainability-oriented model" @default.
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- W4302759907 doi "https://doi.org/10.1016/j.jclepro.2022.134543" @default.
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