2021
DOI: 10.3390/su13116018
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RINNO: Towards an Open Renovation Platform for Integrated Design and Delivery of Deep Renovation Projects

Abstract: The building stock accounts for a significant portion of worldwide energy consumption and greenhouse gas emissions. While the majority of the existing building stock has poor energy performance, deep renovation efforts are stymied by a wide range of human, technological, organisational and external environment factors across the value chain. A key challenge is integrating appropriate human resources, materials, fabrication, information and automation systems and knowledge management in a proper manner to achie… Show more

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Cited by 13 publications
(6 citation statements)
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“…Existing research in adapting such tools for renovation work also lack sufficient testing in real-world case studies; and their performance with specific inputs, context and constraints has rarely been examined. The present study derives from an EC-funded project called RINNO (Doukari et al , 2021; Lynn et al , 2021) and aims to overcome these gaps and contribute to the wider EU target of accelerating the rate of building renovation in Europe. The objectives here are twofold: firstly, to present an automated process, using BIM, for evaluating and comparing renovation scenarios in terms of duration, cost, workers needed and disruptive potential; next, to show the subsequent testing of the process and the analysis of its applicability and behaviour when applied on three live demonstration sites located in three different European countries, involving six renovation scenarios.…”
Section: Building Renovation: State-of-the-artmentioning
confidence: 99%
“…Existing research in adapting such tools for renovation work also lack sufficient testing in real-world case studies; and their performance with specific inputs, context and constraints has rarely been examined. The present study derives from an EC-funded project called RINNO (Doukari et al , 2021; Lynn et al , 2021) and aims to overcome these gaps and contribute to the wider EU target of accelerating the rate of building renovation in Europe. The objectives here are twofold: firstly, to present an automated process, using BIM, for evaluating and comparing renovation scenarios in terms of duration, cost, workers needed and disruptive potential; next, to show the subsequent testing of the process and the analysis of its applicability and behaviour when applied on three live demonstration sites located in three different European countries, involving six renovation scenarios.…”
Section: Building Renovation: State-of-the-artmentioning
confidence: 99%
“…When possible, these tools are adapted to the context of renovation projects [100] which represents one of the main factors that make their performance typically lower than that for new constructions [101,102]. The research study reported in this section is part of the RINNO research project [103,104] which aims to develop a holistic multi-disciplinary platform that will ensure the acceleration of the rate of deep renovation in EU residential buildings. Here, an ontology is introduced, and its application is illustrated within the context of building renovation.…”
Section: Automating 4d Bim Planning: the Rinno Case Studymentioning
confidence: 99%
“…Figure 13 presents the ontology developed within the RINNO project [103,104] dedicated to generating 4D BIM schedules for renovation projects. The overview given in Figure 13 is a UML (Unified Modelling Language) class diagram illustrating the ontological concepts, their relations and constraints, as well as the attributes or properties that define each concept (here class or entity) to facilitate its implementation as a renovation knowledge base in the case of this study.…”
Section: Renovation 4d Planning Ontologymentioning
confidence: 99%
“…This work was funded by the European Union's Horizon 2020 Research and Innovation Programme through the RINNO project [https://RINNO-h2020.eu/ (Doukari et al, 2021;Lynn et al, 2021)] under Grant Agreement Number 892071.…”
Section: Data Availability Statementmentioning
confidence: 99%