Article
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Renovation or Redevelopment: The Case of Smart Decision-Support in Aging Buildings
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Version 1
: Received: 10 July 2023 / Approved: 11 July 2023 / Online: 12 July 2023 (08:08:16 CEST)
A peer-reviewed article of this Preprint also exists.
Wu, B.; Maalek, R. Renovation or Redevelopment: The Case of Smart Decision-Support in Aging Buildings. Smart Cities 2023, 6, 1922-1936. Wu, B.; Maalek, R. Renovation or Redevelopment: The Case of Smart Decision-Support in Aging Buildings. Smart Cities 2023, 6, 1922-1936.
Abstract
In Germany, as in many developed countries, over 60% of buildings were constructed before 1978, where most are in critical condition, requiring either demolition with plans for redevelopment or renovation and rehabilitation. Given the urgency of climate action and relevant sustainable development goals set by the United Nations, more attention must be shifted toward the various sustainability aspects when deciding on the strategy for renovation or redevelopment of existing buildings. To this end, this study focused on developing a smart decision support framework for aging buildings based on lifecycle sustainability considerations. The framework integrated digital technological advancements, such as building information modeling (BIM), point clouds processing with field information modeling (FIM)®, and structural optimization, together with life-cycle assessment to evaluate and rate the environmental impact of different solutions. Three sustainability aspects, namely, cost, energy consumption, and carbon emissions, were quantitatively evaluated and compared in two scenarios, namely, renovation, and demolition or deconstruction combined with redevelopment. A real building constructed in 1961 was the subject of the experiments to validate the framework. The result outlined the limitations and advantages of each method in terms of economics and environmental impact. It was further observed that optimizing the building design with the goal to reduce embodied energy and carbon in compliance with modern energy standards, was crucial to improve overall energy performance. This work demonstrated that the developed BIM-based framework to assess the environmental impact of rehabilitation work in aging buildings can provide effective ratings to guide decision-making in real-world projects.
Keywords
sustainability; building information modeling (BIM); Artificial Intelligence; optimization; renovation; field information modeling (FIM); Point Cloud; embodied Carbon and energy; deconstruction and demolition
Subject
Engineering, Civil Engineering
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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