Data-driven and proactive optimisation service for buildings

Gebäudetechnik

A data-driven optimisation service for buildings is being developed as part of the project. With the help of a cross-industry partner network, suitable sensor configurations, communication solutions and analysis algorithms are being developed and integrated into a BIM-capable management tool. This enables performance gaps to be identified automatically and optimisation measures to be initiated proactively.

Acronym

SmartOptimiser

Project running time

01/01/2022 - 31/12/2023

Projectbudget in EUR

856.504

Technical building equipment (TBE) accounts for a significant proportion of the construction and maintenance costs of buildings. In Europe, it is also responsible for a significant proportion of greenhouse gas emissions. However, due to their dynamic load behaviour, MEP systems are extremely complex and difficult to analyse. The systems are therefore often operated inefficiently over several years without being noticed, causing considerable operating costs and thus wasting valuable resources. Optimisation potential in terms of thermal comfort and indoor air quality can also hardly be identified and exploited with the analysis tools and services currently available. Advances in digitalisation are opening up new opportunities to use data-driven optimisation methods and automatically identify performance gaps. However, this requires interdisciplinary cooperation in the areas of expertise of TGA, Internet of Sensors (IoS), Building Information Modelling (BIM), data protection and data analysis. Suitable sensor configurations, smart user-building interaction solutions and analysis algorithms are therefore being developed with a cross-industry partner network and integrated into a BIM-capable management tool. The result is a digital, proactive diagnostic tool for HVAC systems. This allows deviations from the ideal operating status to be detected automatically and optimisation and maintenance measures to be initiated and evaluated in a targeted manner. The synergetic use of control, modelling and AI-based methods means that the solutions developed are versatile and scalable for different building types.


Bundesministerium für Digitalisierung und Wirtschaftsstandort
FFG - Österreichische Forschungsförderungsgesellschaft

Projectleader

Prof.(FH) DI(FH) Dr. Christian Heschl

Tel: +43 5 7705-4121
christian.heschl(at)hochschule-burgenland.at

Projectpartner/Researchpartner

client/sponsor