PARADIS - A process integrating tool for rapid generation and evaluation of holistic renovation scenarios

Recent research in building renovation seeks methods for the development of more holistic renovation scenarios that live up to a broader set of sustainability objectives and criteria, and that involve more stakeholders in the earlier stages of the design process. This paper presents a methodology for development of a Building Information Modeling (BIM) based decision support system PARADIS, which generates and evaluates optimal and holistic renovation scenarios tailored toward the renovation of dwellings in a Danish context. PARADIS supports the renovation sector with the following features: (a) optimizing the selection process of renovation alternatives, and the generation of renovation scenarios, through specific renovation typologies and constraints; (b) evaluating standard sustainability Key Performance Indicators (e.g. energy consumption, investment cost, indoor thermal comfort, etc.) over the generated renovation scenarios; and (c) visualizing the generated renovation scenarios for ease of comprehension by the designers, and for enabling discussion between expert stakeholders (i. e. engineers, contractors, facilities managers) and non-expert stakeholders (e.g. building occupants, owners, etc.). PARADIS thus supports informed decision making for optimal renovation scenario design. The first complete integrated toolchain, including a ready-to-release prototype of the PARADIS Revit plug-in, is demonstrated in this paper and empirically evaluated on a large apartment block in Denmark.

Automated summary

Recent research focuses on developing more holistic renovation scenarios that meet broad sustainability objectives. This paper presents a methodology for a Building Information Modeling (BIM) based decision support system, PARADIS, which supports the optimization and evaluation of renovation scenarios tailored to the Danish context. By visualizing scenarios and involving various stakeholders, PARADIS enables informed decision making for optimal renovation design.