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- W3128085404 endingPage "104274" @default.
- W3128085404 startingPage "104274" @default.
- W3128085404 abstract "Although countries have reduced their total greenhouse gas emissions by improving energy and transportation policies, the contribution of the building sector has been widely overlooked. Embodied emissions (EE) are particularly important since they are released upfront rather than over building lifespans, making them critical for near-term emission reduction targets. Accordingly, this study developed a tool to reduce EE at the conceptual stage of high-rise residential buildings. The tool combines generative design with goals and constraints inherent to conceptual building design: maximizing site use, views, and building code compliance. In a case study, it was able to achieve a 7% reduction in EE compared to a sub-optimal solution. This research elucidated the potential of using generative design in early-stage design, proposed novel systems for the generation and evaluation of design alternatives, and delivered GenGHG, a ready-to-use, open-source tool for conceptual building design." @default.
- W3128085404 created "2021-02-15" @default.
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- W3128085404 date "2022-07-01" @default.
- W3128085404 modified "2023-09-30" @default.
- W3128085404 title "Generative design to reduce embodied GHG emissions of high-rise buildings" @default.
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- W3128085404 doi "https://doi.org/10.1016/j.autcon.2022.104274" @default.
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