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- W4386500537 abstract "Renovating existing buildings to decrease their energy consumption is a priority to cut greenhouse emissions and decelerate the effects of climate change, but also to deal with the energy crisis. If the dimension of public funds and incentives mirrors the urgency and inadequacy of the current state, the capacity to intercept them relies on the proactivity of operators to plan and design the best renovation solutions for their buildings. In this context, the ongoing green and digital transitions encompassing the building sector identify the opportunity to tackle the sustainability challenges by exploiting even more advanced digital technologies, as support to humans for a more informed decision-making. The paper shares the pre-design activities performed to define the best renovation scenario for the energy renovation of a university building, the site of a pilot project, with the objective to define a methodology able to take into account not only energy efficiency but the interrelated renovation objectives of comfort and wellbeing, architectural quality and low environmental impact. The methodology is based on the exploitation of BIM models for the definition of a reliable knowledge framework of the existing building, for analyzing its criticalities through performance simulation tools and for the interactive and iterative design of renovation scenarios. Given the urgency of building renovation and the need to simplify processes to fasten the renovation rate, the paper explains the opportunities of the digital to support the green transition." @default.
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- W4386500537 date "2023-01-01" @default.
- W4386500537 modified "2023-10-16" @default.
- W4386500537 title "Building Digital Scenarios to Predict Energy-Efficient Renovations: The Experience of beXLab" @default.
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- W4386500537 doi "https://doi.org/10.1007/978-3-031-33148-0_51" @default.
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