New dynamic consensus algorithms for building thermal energy management (CONSENSYS)
Excellence research grants (GEX-UPB) 2016-2017
Abstract: The CONSENSYS project proposes the study and development of new dynamic consensus algorithms with applications in thermal modeling/simulation and control of HVAC systems in residential and office buildings. The main novelty stems from the modeling approach using a multi-agent paradigm for the network of thermal zones, their interactions as well as the perturbations generated by the external environment and variable internal loads. This model will serve as the basis for modern control strategies e.g. predictive control, with the aim of combined cost-comfort optimization. It is foreseen the development of a small scale demonstrative system, highlighting the benefits of the new algorithms in a laboratory evaluation setting. The project implementation will lead to the allignement with the international research community in what concerns smart, software-defined, buildings while opening up the potential of collaboration with industry partners for joint development of new innovative products and systems.
- Design, implementation and evaluation of new dynamic consensus algorithms with the goal of improving the energy efficiency of smart buildings, while balancing operating costs with occupant comfort.
- Design, implementation and evaluation of a laboratory scale system for deploying the consensus models and exploratory integration with commercial BMS systems.
Stamatescu G., Stamatescu I., Arghira N., Fagarasan I., Pervasive System Architecture for Optimal HVAC Control in Smart Buildings, 12th IEEE Conference on Industrial Electronics and Applications (ICIEA 2017), Siem Reap, Cambodia, June 2017. [PDF]
Arghira N., Stamatescu I., Fagarasan I., Stamatescu G., Calofir V., Iliescu S. St., Demand Dispatch Framework for Smart Distribution Grids, 12th IEEE Conference on Industrial Electronics and Applications (ICIEA 2017), Siem Reap, Cambodia, June 2017. [PDF]
Chitu C., Stamatescu G., Stamatescu I., Sgarciu V., Wireless System for Occupancy Modelling and Prediction in Smart Buildings, 25th Mediterranean Conference on Control and Automation (MED 2017), Valetta, Malta, July 2017. [PDF]
Dragana C., Stamatescu G., Mihai V., Popescu D., An Approach for Weighted Average Consensus in Event Detection, 25th Mediterranean Conference on Control and Automation (MED 2017), Valetta, Malta, July 2017. [PDF]
Stamatescu G., Stamatescu I., Arghira N., Dragana C., Fagarasan I., Data-driven Methods for Smart Building AHU Subsystem Modelling, 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS’2017), Bucharest, Romania, September 2017. [PDF]
Chitu C., Stamatescu G., Sgarciu V., Poster: Scalable Architectures for Stream Analytics and Data Predictions dedicated to Smart Spaces, 4th ACM International Conference on Systems for Energy-Efficient Built Environments (BuildSys 2017), Delft, The Netherlands.