Current Situation & Problem
Comfort conditions in rooms and buildings are currently poorly recorded and maintained by the building management due to the lack of appropriate sensors, data management and data analytics. New solutions are required for maintaining satisfactory room conditions while achieving optimal energy efficiency.
Project COMFORT applies aggregated and enriched information extracted from sensors and simulation data to quantify, evaluate and optimise the human comfort temperature and air quality, taking economic considerations into account.
New approaches to building automation, including machine learning, multi-source data fusion, virtual sensors, simulations, wireless sensor systems and coupling with building information modelling, can be used to analyse multi-modal and heterogeneous data. Thereby, a predictive and concise representation of comfort conditions in rooms and buildings can be achieved.
Expected Outcome and Impact
COMFORT creates foundations for better monitoring, control strategies, user interactions, user satisfaction assessment and weighted user feedback, predicted data input of control systems and optimisation of building maintenance and energy efficiency.
Numbers & Dates
- Project duration: 1st of October 2018 to 31st of March 2021
- Eight project partners, four research and four industry
- Total Budget € 917,130
The project “COMFORT – Comfort Orientated and Management Focused Operation of Room condiTions” (No. 867533) is funded by the program ‘ICT of the Future’ (6th Call 2017) of the Austrian Research Promotion Agency (FFG) and the Austrian Ministry for Transport, Innovation and Technology (BMVIT).