Buildings and their operation are responsible for around 40% of global energy consumption. Intelligent climate control systems which are specially designed for individual buildings can significantly reduce energy usage. This in its turn leads to lower costs, increased efficiency and a reduction in the building's impact on climate change.
The challenge involved here is that buildings are not immune to the high-tech digital systems which are found in all other areas of life. On the contrary, automated solutions are becoming increasingly widely used. The result is highly complex building systems that need to be managed efficiently.
Against this background, the Austrian Institute of Technology (AIT), Vienna University of Technology, UBIMET and Caverion Austria have launched a joint research project entitled Advanced Data Analytics for Energy Efficiency which aims to investigate the use of data analytics methods to improve the energy efficiency of buildings and to develop solutions in this area over the next three years. The building that will be used to test these processes is the headquarters of the ÖAMTC, the Austrian motoring association, which is currently under construction in Vienna.
Communications from the intelligent and efficient buildings of the future
Existing monitoring tools are struggling to manage the growing volumes of data and the increasingly rapid pace of data collection. An automated system that supports decision-making processes using data analytics algorithms, simulations and improvements will help building operators to take a dynamic approach to improving building efficiency and to achieve the best possible results.
One of the objectives of the research project is to use existing knowledge and methods to develop an automatic solution for increasing the energy efficiency of buildings on the basis of data analytics. During a subsequent phase, the solution will automatically evaluate monitoring data, predict future energy requirements and make recommendations for reducing energy consumption.
Specially developed algorithms will increase the predictability of the monitoring data that is collected in real-time on an ongoing basis and propose improved decision-making options. The project will make use of current and historic building information, weather data and forecasts, together with details of the building itself, including its location, function, fittings and many other factors.
A focus on permanent improvements to buildings
Caverion's involvement in the three-year research project highlights the company's strategic direction. We take a forward-looking approach to our business. Over recent decades we have accumulated extensive technical knowledge about buildings which will form the foundation for an energy-efficient and sustainable future and will help us to shape future trends.
Our objective is for you, as the owner, operator or user of buildings, to live and work in an environment which promotes productivity, offers comfortable surroundings and keeps long-term maintenance costs and energy consumption to a minimum, while at the same time remaining climate-neutral.
In simple terms, we call this Active life cycle management