Upskilling RTI personnel using big data
GebäudetechnikAcronym
QualiOpt
Project running time
01/03/2024 - 31/12/2024
client/sponsor
AIT - Austrian Institute of Technology
The industry and building sectors represent considerable potential for reducing final energy demand and CO2 savings through possible technical savings potential and scaling effects. The trades involved in all phases of the building life cycle face challenges due to technical change and more complex requirements. It is therefore necessary to create relevant knowledge and integral competences about processes, tools, workflows and characteristic values in order to generate an understanding on the one hand and to overcome existing cross-sector/interdisciplinary interface problems on the other, thereby increasing the quality of the overall solution in terms of ecological sustainability, productivity and energy and resource efficiency.
SMEs in particular have gaps in knowledge and expertise in the aforementioned fields of work, their application and the associated methodology. Digitalisation, which is finding its way into all areas, provides a key building block for this. With a digitalisation rate of just under 7%, the construction industry in particular has some catching up to do. One of the biggest challenges of successful, comprehensive digitalisation, especially in the construction industry, is to define relevant data, models and processes, to bring them together across all trades and phases, to make them available in a binding manner and to evaluate them in a meaningful way with maximum added value generation, thus making them usable for future applications such as facility management.
The QualiOpt innovation camp is geared towards the aforementioned needs and supports the participating companies (SMEs, general contractors) in the further development and upskilling of existing RTI personnel by systematically building up expertise and knowledge in the fields of technical building services, plant operation and optimisation as well as digitalisation/data science. This makes potential efficiency, cost and CO2 savings visible and, by means of a holistic approach, enables an internal and external transfer of knowledge between industry partners, planning and executing trades and science across all trades, thus overcoming practical interface problems and promoting innovation in the participating companies.

Projectleader
Prof.(FH) DI(FH) Dr. Christian Heschl
Tel: +43 5 7705-4121
christian.heschl(at)hochschule-burgenland.at
Projectpartner/Researchpartner
client/sponsor
