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Projects / Programmes source: ARIS

Multifunctional hydrogen technologies supporting power system balancing, energy storage and market

Research activity

Code Science Field Subfield
2.06.00  Engineering sciences and technologies  Systems and cybernetics   

Code Science Field
2.02  Engineering and Technology  Electrical engineering, Electronic engineering, Information engineering 
Keywords
hydrogen technologies, power system balancing, renewable electric energy sources, green transition, multi-criteria optimization, digital twins, electric energy storage,
Evaluation (metodology)
source: COBISS
Organisations (3) , Researchers (19)
0106  Jožef Stefan Institute
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  34624  PhD Pavle Boškoski  Systems and cybernetics  Researcher  2022 - 2025  193 
2.  16415  PhD Damjan Demšar  Computer science and informatics  Researcher  2025  46 
3.  15735  PhD Gregor Dolanc  Systems and cybernetics  Researcher  2022 - 2025  231 
4.  16161  PhD Samo Gerkšič  Systems and cybernetics  Researcher  2022 - 2025  138 
5.  35947  PhD David Jure Jovan  Systems and cybernetics  Technical associate  2022 - 2025  24 
6.  29924  PhD Matija Perne  Systems and cybernetics  Researcher  2022 - 2025  136 
7.  04543  PhD Janko Petrovčič  Systems and cybernetics  Head  2022 - 2025  340 
8.  25655  PhD Boštjan Pregelj  Systems and cybernetics  Researcher  2022 - 2025  142 
9.  12342  PhD Damir Vrančić  Systems and cybernetics  Researcher  2022 - 2024  368 
0796  University of Maribor, Faculty of Electrical Engineering and Computer Science
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  28428  PhD Miloš Beković  Electric devices  Researcher  2022 - 2025  170 
2.  37956  PhD Marko Bizjak  Computer science and informatics  Researcher  2022 - 2025  56 
3.  39651  Matej Pintarič  Energy engineering  Researcher  2022 - 2025  49 
4.  15671  PhD David Podgorelec  Computer science and informatics  Researcher  2022 - 2025  221 
5.  39978  Patricija Rijavec Simonič  Economics  Researcher  2022 - 2025  32 
6.  10814  PhD Gorazd Štumberger  Electric devices  Researcher  2022 - 2025  997 
7.  36449  PhD Primož Sukič  Electric devices  Researcher  2022 - 2025  84 
8.  56045  Marko Vodenik  Energy engineering  Researcher  2022 - 2025 
3317  Dravske elektrarne Maribor d.o.o. (Slovene)
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  25790  PhD Mojca Božič  Chemical engineering  Researcher  2022 - 2025  222 
2.  36645  PhD Boštjan Gregorc  Energy engineering  Researcher  2022 - 2025 
Abstract
The aim of the project is to research the possibilities of using hydrogen technologies for balancing the electric power system and energy storage. To reduce the carbon footprint and CO2 emissions, many new renewable energy sources (wind, photovoltaics, hydropower) are being installed, however, unfortunately they do not follow the time profile of energy demands, as they depend upon weather and time of year. Therefore, in parallel with the installation of renewable sources, it is necessary to introduce services for balancing the production and consumption of electricity. This is done in various ways: by adjusting energy consumption, by adjusting production (of those sources that be controlled) and by temporarily storing surplus electric energy and releasing it in periods of shortage. Technological possibilities for storing large amounts of electric energy are limited, one of the useful options are hydrogen systems, which consist of electrolyser, hydrogen storage tank and fuel cell. By hydrogen technologies, temporal surpluses of electric energy can be converted by electrolysis of water into hydrogen, which is stored in gaseous or liquid form in storage tanks. Stored hydrogen can later, during increased demand, be converted back into electricity using fuel cells, or it can be used directly as a fuel for heating and transport or as a feedstock for industry. To ensure efficient balancing of the power system and economically sustainable operation, hydrogen system must be properly designed and sized, and its operation must be constantly coordinated with the conditions and needs of the electric power system. Addressing these two challenges represents the core of the proposed project. Therefore, the first goal of the project is to develop an automatic coordination algorithm of the hydrogen system, which should automatically and optimally respond to the conditions and requirements of the power system and the market. It will be involved in several balancing mechanisms: ancillary services, the balancing market and seasonal energy storage. It will consider current and future forecasted conditions of the electric power system (forecast of electricity consumption and production), dynamic limitations of the hydrogen system, efficiency of the hydrogen system depending on the operation mode, the impact of dynamic operation on life time, etc. Based on the listed factors, the coordination algorithm will use the optimization algorithm to generate balancing actions. The second goal of the project is to develop digital twins (dynamic simulation models) of the hydrogen system and the power system and market. By digital twins, we will create a simulation environment to numerically simulate the operation of the hydrogen system in connection with the power system and market. In the simulation environment, we will test and optimize the operation of the coordination algorithm, evaluate the balancing efficiency and the resulting economic effects of hydrogen system operation. In addition, the digital twins will be indirectly integrated into the coordination algorithm to generate balancing actions using model-based multi-criterial optimization The results of the project will be extremely useful for all potential investors in hydrogen systems. With the help of developed digital twins of the hydrogen system and power system and market, it will be possible to determine the parameters of the hydrogen system with the help of computer simulation and observe how they affect operation and economic sustainability. Using the developed coordination algorithm, it will be possible to optimally coordinate hydrogen systems with the electric power system and to observe and optimize its operation in the simulation environment, to predict the potential economic effects and investment outcome. The coordination algorithm will be ready for transfer from the simulation environment to real hydrogen systems.
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