Energy Sector (WP7)

Work Package WP7 focuses on the research and development of advanced tools for the energy sector, with a particular emphasis on applications in district heating and power transmission systems. The research aims to develop innovative solutions for these areas using artificial intelligence methods, with an emphasis on the synergy of the approaches being developed across these sectors. A key element is the close alignment with real-world application challenges identified in collaboration with leading industry partners.

In the area of power transmission systems, Work Package 7 focuses on developing innovative solutions that will significantly improve the observability of system operations through the predictive solutions being developed. Furthermore, tools will be created to detect inconsistencies in transmission system models in order to increase operational resilience. Last but not least, optimization tools will be developed to enable more efficient management of transmission systems, taking into account future requirements associated with a high share of renewable energy sources in the energy mix. In the field of district heating, the main objective of WP7 is to develop predictive software that will be used to accurately forecast future weather conditions, thereby enabling highly effective optimization of central heat supply operations.

What problem does the WP solve, and why is it important?

01

Heat production and distribution planning does not respond flexibly to unexpected weather fluctuations.

02

The transmission system is at risk of regional overload and imbalance, which, in extreme cases, could lead to instability.

03

Solutions across the energy sectors are fragmented, uncoordinated, and disconnected.

04

There is a gap between academic research and practice.

Examples of use / areas of application and benefits

Heating Industry

Accurate spatiotemporal weather forecasts
Optimisation of production and management of heating plants

Portable system

Improving observability and enhancing the robustness of technical models, leading to a higher degree of predictability in system behavior
Optimizing safe and reliable operations with a focus on cost-effectiveness

Key people

WP Leader

Ing. Martin Střelec, Ph.D.

Laboratory of Advanced Energy Systems (LAPS), NTIS | Faculty of Applied Sciences UWB (FAV UWB)

Martin Střelec works at the University of West Bohemia in Plzeň as part of the NTIS Centre – New Technologies for the Information Society, where he is head of the Laboratory of Advanced Energy Systems (LAPS) and an expert in the application of artificial intelligence in the energy sector. Within the project, he coordinates Work Package 7 (WP7), which focuses on the energy sector, including the development of AI solutions for critical energy infrastructure and collaboration with industrial partners. He has extensive experience of national and international projects and contract research, the results of which have been successfully implemented in practice (e.g. ČEPS, ČEZ, EirGrid)

Ing. Martin Střelec, Ph.D.

| NTIS-FAV UWB

Energy

prof. Ing. Radek Škoda, Ph.D.

| CIIRC CTU

Energy

Ing. et Ing. Přemysl Voráč, Ph.D.

| ČEPS, a.s.

Ing. Pavel Hrbek

| České Budějovice Heating Plant, a.s.