Technical building facilities are often operating in unnoticed suboptimal operating conditions for years causing substantial operating costs and wastage of resources. The optimization potentials remain largely unnoticed, except if a total failure of systems (e.g. room is not heated anymore) occurs. For energy services, e.g. in the form of performance contracting, the quantification of efficiency enhancement as well as the identification of optimization possibilities are indispensable. The operation of facilities can be optimized through monitoring relevant measurement data (flow temperatures, heat quantity, operating current, etc.) resulting in a decrease of the primary energy demand.
OptiMAS investigates through a model based energy flow analysis and under consideration of the newest developments in the sensors market how existing facilities, independently from the used HVAC-systems and their automatization components, are monitored, the data is analysed and how parameters can be derived for an optimization. The analysis of the energy flow distribution in hydraulic networks of facilities and complexes is an indicator for multiple facility technological faults. The “open-loop”-approach has the advantage that no requirements towards the HVAC facility have to be applied and changes of the hydraulic system and subsequent legal aspects (e.g. warranty claims, liabilities for modifications) do not occur.
The cost-effective and detailed spatial and temporal resolved energy flow measurement in hydraulic networks constitutes a substantial innovation of OptiMAS. This is reached by the use of a minimal quantity of non-invasive sensors, a model based approach for deriving the complete energy flow and semi-automated analysis procedures for localizing optimization potentials.
In sensor technology fundamental research with regard to characterization of low-cost, clip-on sensors in temperature and ultrasonic flow measurement is done. The model based energy flow determination distinguishes itself by using only a minimal number of measurement points, nevertheless it enables a detailed and comprehensive quantification. Additionally, the thermal active masses of buildings can be detected and analyzed, which are taken into account in future application of facilities as storage of volatile PV or wind energy. With the OptiMAS approach the optimization potential from single facilities to whole areas and city districts can be captured, localized and through adaption of system parameters the highest possible energy and resource efficiency is assured. <p>OptiMAS can be used for modular accessing the energy efficiency and optimizing of the total energy consumption up to decreasing the life cycle costs.
This project is co-funded by FFG within the programme "Stadt der Zukunft".
|Duration||01/10/2016 - 31/12/2019|
|Program||Stadt der Zukunft|
Center for Distributed Systems and Sensor Networks
|Principle investigator for the project (Danube University Krems)||Dipl.-Ing. Albert Treytl|
|Project members||Roman Beigelbeck Dipl.-Ing. Dr. Samir Cerimovic Dr. Thomas Glatzl, MSc Priv.-Doz.Dipl.-Ing.Dr. Thilo Sauter|
Cerimovic, S.; Treytl, A.; Glatzl, T.; Beigelbeck, R.; Keplinger, F.; Sauter, T. (2019). Development and Characterization of Thermal Flow Sensors for Non-Invasive Measurements in HVAC Systems. Sensors 2019, Vol. 19(6): doi: 10.3390/s1906139
Cerimovic, S.; Treytl, A.; Glatzl, T.; Beigelbeck, R.; Keplinger, F.; Sauter, T. (2018). Thermal Flow Sensor for Non-Invasive Measurements in HVAC Systems. In: Eurosensors, Proceedings Eurosensors 2018: 827, TU Graz, Graz
Cerimovic, S.; Treytl, A.; Glatzl, T.; Beigelbeck, R.; Keplinger, F.; Sauter, T. (2018). Thermal flow sensor for non-invasive measurements in HVAC systems. Proceedings 2018, MDPI
Glatzl, T.; Beigelbeck, R.; Cerimovic, S.; Steiner, H.; Treytl, A. (2018). Finite Element Method Simulation and Characterization of a Thermal Flow Sensor Based on Printed Circuit Board Technology for Various Fluids. mdpi proceedings, Vol. 2: 833
Sauter, T.; Treytl, A.; Diwold, K.,; Molnar, D.; Lechner, D.; Krammer, L.; Derler, B.; Seidl, C.; Wenig, F. (2018). Getting Fit for the Future: Optimizing Energy Usage in Existing Buildings by Adding Non-Invasive Sensor Networks. IEEE, proceedings ISIE 2018: 963-968, IEEE, Cairns
Glatzl, T.; Cerimovic, S.; Treytl, A. (2017). Thermal Flow Sensor Based on Printed Circuit Board Technology for Aqueous Media. Yurish, S.S., Proceedings of the 3rd International Conference on Sensors and Electronic Instrumentation Advances: 232-236, IFSA Publishing
Krammer, L.; Diwold, K.; Lechner, D.; Treytl, A.; Cerimovic, S.; Derler, B.; Seidl, C.; Wenig, F. (2017). Large-scale Energy Optimization of Buildings based on non-invasive Sensors. Department Energie-Umweltmanagement, FH Burgenland, Science.Research.Pannonia, Band 21, Zukunft der Gebäude: 99-108, leykamverlag
Wenig, F.; Heschl, C.; Glatzl, T.; Sauter, T. (2017). Numerical and experimental characterization of a novel low-cost thermal air flow sensor. IEEE, IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society: 3633-3637
Finite Element Method Simulation and Characterization of a Thermal Flow Sensor Based on Printed Circuit Board Technology for Various Fluids
Eurosensors 2018, Graz, Österreich, 10/09/2018
Thermal Flow Sensor for Non-Invasive Measurements in HVAC Systems
Eurosensors 2018 Conference, Graz, Austria, 10/09/2018
Thermal flow sensor for non-invasive measurements in HVAC systems
Eurosensors 2018 Conference, Graz, Austria, 9–12 September 2018, 10/09/2018
Smart Printed and Noninvasive Thermal Sensors for HVAC Monitoring
Guest Lecture, Aalto University, Finnland, 26/04/2018
Large-scale Energy Optimization of Buildings based on non-invasive Sensors
Konferenz e-nova 2017 in Pinkafeld, 24/11/2017
Numerical and experimental characterization of a novel low-cost thermal air flow sensor
IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Peking, 02/11/2017
Thermal Flow Sensor Based on Printed Circuit Board Technology for Aqueous Media
Konferenz SEIA 2017 in Moskau, 21/09/2017
Citrate anticoagulation and activation of the complement system.
ESAO 2006, Umea, Sweden, 24/06/2006