The IMP testbed pilot offers a multi-carrier energy supply environment (including both conventional and renewable energy sources including the solar photovoltaic power plant 50kWp already installed on the rooftop of the IMP main building), as well as all necessary HW equipment (energy monitoring and control devices) for demonstration purposes in the SINERGY project. It provides an adequate environment for live demonstration activities, such as energy supply optimisation, integration of solar photovoltaic power in the energy mix, application of advanced DSM measures, etc. This allows the researchers to directly apply acquired knowledge (in the course of WP4 and WP5) and to obtain the hands-on experience on an actual system atop of theoretically oriented lectures and workshops.
The IMP has a campus-like structure, located in Belgrade, consisting of several buildings and a common energy supply infrastructure. The latter comprises a thermal plant running on fuel oil (mazut) and a local Photovoltaic Power Plant (PVPP) 50kWp. The campus is also connected to the public power grid via low-voltage power station (0.4kV/220V). Due to variety of metering and control equipment, the testbed pilot setting will be one of the buildings within the campus, commonly referred to as the “Blue building”, featuring several offices and a laboratory. For heating of the Blue building, the hot water is delivered from either the common thermal plant (producing a steam which is then fed to the heat exchanger to produce a hot water) or from the local electric boilers, which could be seen as suitable for deployment of optimized control of energy flows. The overall supervision and control of energy flows is based on deployed SCADA system (View4, IMP’s proprietary solution) which communicates with several Remote Terminal Units (pAtlas RTUs) and PLCs (ATLAS MAX).
Furthermore, by leveraging on the means of combined building and energy simulation with acquired know-how, SINERGY aims at delivering a unique building optimisation framework as one of the tangible project results.
SINERGY aims at development of innovative energy management services to unlock building energy and cost saving potential by filling the gap between comprehensive energy monitoring (electricity/gas meters, smart plugs etc.) and environment sensing (occupancy, temperature, illuminance, humidity, CO/CO2 etc.), generating abundance of data with untapped potential, and control capabilities of existing/legacy BMS/EMS and Home Automation systems with seamless integration of high value energy management services. IMP is doing research on state-of-the-art methods for development the following types of services
- Non-intrusive load monitoring (NILM) (deep learning techniques);
- Local and aggregated energy demand/consumption prediction (machine learning and data-driven techniques);
- Renewable energy sources (RES) generation forecasting (deterministic and probabilistic models);
- Energy dispatch optimisation (mixed integer linear programming, heuristic opt.);
- Energy performance evaluation and benchmarking (data envelopment and ML).
A proposal (workflow) for integration of IMP energy services is given in the Figure below.
The goal is to demonstrate and validate the performance of developed services by applying them with data from the IMP’s campus and data from the power distribution network.
Building upon the Energy Hub model concept (originally designed to provide optimal energy supply and dispatch solution for a given demand curve), the developed innovative services will provide the possibility for end users to specify individual constraints pertaining to when their appliances shall be activated and at what intensity they can operate, thus providing the ability of achieving significant cost and carbon emission reductions without severely impacting user comfort.
- Marko Jelić, Marko Batić, Nikola Tomašević:
Demand-Side Flexibility Impact on Prosumer Energy System Planning. Energies 2021, 14(21), 7076.
- Valentina Janev, Maria-Esther Vidal, Dea Pujić, Dušan Popadić, Enrique Iglesias, Ahmad Sakor, Andrej Čampa:
Responsible Knowledge Management in Energy Data Ecosystems. Energies 2022, 15(11), 3973 DOI: https://doi.org/10.3390/en15113973
- Marko Jelić, Darko Šošić, Nikola Tomašević:
Effects of coordinated prosumer operation on power distribution systems (Telfor 2021 Conference)
- Dea Pujić, Nikola Tomašević:
Hybrid ensemble neural network approach for photo-voltaic production forecast (Telfor 2021 Conference)
- Valentina Janev, Dušan Popadić, Dea Pujić, Maria-Esther Vidal, Kemble Endris, Reuse of Semantic Models for Emerging Smart Grids Applications. In: Zdravković, M., Trajanović, M., Konjović, Z. (Eds.) ICIST 2021 Proceedings, pp.119-123, 2021.
- Dušan Popadić, Enrique Iglesias, Ahmad Sakor, Valentina Janev, Maria-Esther Vidal:
Towards a Solution for an Energy Knowledge Graph, ISIC 2022 (Best Paper Award), Springer Nature (in print).
- Dea Pujić, Marko Jelić, Marko Batić, Nikola Tomašević: Application of Reinforcement Learning for Control of Heat Pump Systems, ICIST 2022.
- Marko Jelić, Dea Pujić, Marko Batić: Simulation of heat pump performances in buildings, ICIST 2022.
 Marko Batić, Nikola Tomašević, Giovanni Beccuti, Turhan Demiray, Sanja Vraneš, (2016), “Combined energy hub optimisation and demand side management for buildings,” Energy and Buildings, Vol. 127, pp. 229-241, Sept. 2016.