Integrated Building Information and decision management environment for repurposing and deep renovation of residential and non-residential buildings

Nowadays, engineers in their activities are increasingly turning to reconstruction and renovation building projects. This is interconnected with numerous macro-, micro-and socio-economic factors of urban environment changes. Redevelopment is the most effective method of returning to the efficient use of already existing facilities or former industrial areas. But, in contrast with new building projects, building redevelopment projects and processes together with environment transformation, is a more difficult and complex task that requires the development of an adapted methodology and innovative approaches towards decision making. In practice, this process is associated with the development and approval of a large number of technical, technological, regulatory and urban planning factors, calculations and management aspects. The planned work for the creation of the methodology will integrate all these factors and optimize the building redevelopment process and simplify decision-making systems for the further use of existing built assets. The main attention will be paid to the issue of BIM integration and digitalization of the methodology. One of the important aspects of developing an effective renovation process is information management, including diverse external sources, as-built BIM and Semantic Web (Linked Data) technologies. This will combine all the necessary information (e.g. from GIS, laser-scanning and photogrammetry, 4D/ 5D BIM) about the current state of the object and its urban context with information from various design options. Last but not least energy and environmental factors (e.g. energy-efficiency, renewable energy and recycling or reusing materials) and the related regional, national and European policy to support the transition have to be integrated into the evaluation and decision-making process. It is important that the process will be consistently managed and controlled at all stages of the project: from concept development, data collection, analysis of the current state to the decision support. For example, the concept development requires the following work to be managed effectively: collection of initial data and analysis of the existing state (preliminary survey, identification of necessary changes and their justification. Identification of factors requiring change (e.g. goals, criteria, objectives, basic requirements and constraints, risk level, project environment, potential participants; required time, resources and funding); identification and comparative assessment of alternatives; expertise; concept approval.