OptiMAS - Optimization of building energy efficiency through model-based energy flow analysis with non-invasive sensors
Technical building facilities are often operating in unnoticed suboptimal operating conditions for years, causing substantial operating costs and waste of resources. With the exception of the total failure of systems (e.g. room is no longer heated), optimisation potentials remain largely unnoticed. Due to the high share of the building sector in the total energy consumption of the European Union, an intelligent monitoring and analysis system for the detection of inefficient operating conditions offers enormous potential for achieving the socio-political goals of resource savings and emission reduction.
OptiMAS follows the approach to monitor existing buildings, which are already equipped with building services installations, independently of the automation components used in them, to analyse the collected data and to derive parameters for an optimisation of the building operation. The developed concept combines a non-invasive measurement of energy flows in the hydraulic pipes with intelligent algorithms for the interpretation and evaluation of measurement data (with an appropriate correction algorithm) and a flexible cloud-based system architecture for data transmission, evaluation and provision.
In the course of the project, valuable contributions to method development and applicability of non-invasive sensor technology for the measurement of temperature and flow rates in hydraulic pipes could be generated. By developing compensation algorithms for surface temperature sensors, for example, the error relating to the invasive fluid temperature could be significantly reduced and the range of applications extended to include plastic pipes. In addition, an actively heated, low-cost non-invasive flow sensor was developed for which a relative accuracy below 3 % under laboratory conditions was proven. In addition, sensor-supported and model-based fault detection and diagnostic procedures were developed and prototypically demonstrated in field tests. Finally, a multidimensional evaluation of the developed concept was carried out within the framework of an economic and sustainability analysis. The scenarios examined show the influence that the size of the building, energy consumption or the scope of installation have on the economic amortisation of the system. For the economic variants, an ecological amortisation is also guaranteed, i.e. the environmental effects for production, operation and disposal of the monitoring and analysis system are compensated by the resource savings in building operation.
Retrofittable monitoring concepts, the semi-automated engineering of such systems and the combination with fault detection and diagnosis methods have the potential to put the theoretical resource savings in the operation of existing buildings into practice. This development should therefore be further strengthened by innovation impulses from similar research projects.
Forschung Burgenland GmbH
Project or cooperation partners
- Donau Universität Krems/Zentrum für Integrierte Sensorsysteme
- Siemens AG Österreich
- Reder Domotic GmbH