E-World Energy & Water

Essen / May 23, 2023 - May 25, 2023

E-world Energy & Water

Department »System Analysis, Prognosis and Control«: Hall 5 – Booth Number 040

Department »Financal Mathematics«: Hall 5 – Booth Number 054

E-world energy & water is the industry meeting place for the European energy industry. The international exhibitors present sustainable technologies, intelligent services and approaches for achieving climate targets to the trade visitors.

A team from the departments »System Analysis, Prognosis and Control« and »Financial Mathematics« will present their research in the energy industry.

The exhibition is supplemented by the E world Congress and four open expert forums. Here, challenges are discussed and solutions are presented. E-world energy & water is the industry meeting place for the European energy industry. The topics of E-world 2022 are innovative solutions for the energy supply of the future – from generation, transport and storage to trading, efficiency and green technologies.

Fraunhofer ITWM at the E-world

Our experts of the departments »System Analysis, Prognosis and Control«, »High Performance Computing« and »Financial Mathematics« present our solutions in the field of energy in Hall 5, Booth 5-679:

»Financial Mathematics«: We research on the future of energy networks from a financial mathematical perspective. The project team prepares forecast models of how the demand for electricity will develop over the course of the year in order to optimally design the electricity grid.
»System Analysis, Prognosis and Control«: The team researches the optimal maintenance planning of plants by predictive maintenance and the modelling, simulation and control of hierarchical energy networks in the MathEnergy project.

Predictive Maintenance

Another major topic is Predictive Maintenance in the energy industry, i.e. optimizing plant efficiency through machine learning.
Ideally, a technical system is considered reliable and economical, if it is repaired promptly and available when required. This is only possible if the company can reliably predict the maintenance requirements of the systems, taking into account the current production plan and past load history, while guaranteeing the availability of the appropriate resources such as specialists, spare parts, logistics, etc.
Reliable prediction of future events is an integral part of any Predictive Maintenance (PM) system. An important key lies in the analysis of patterns in past events. In a joint modeling approach, we model not only the continuously measured sensor data, but also repetitive discrete event data and failure data. We develop machine learning methods to recognize and visualize complex high dimensional patterns as well as the dynamics and trends of production process states. Further-more, we use machine learning algorithms to predict and characterize the condition of technical systems.

Flexible Loads on the Energy Market

Flexible loads will become more important in the energy system of the future. These will be price-sensitive in electricity trading. We are developing new solutions.

Condition Monitoring and Predictive Maintenance

Optimize maintenance planning with Machine Learning

Marketing of Flexibility on the Energy Market

In the FlexEuro project we are developing methods for the optimal marketing of load flexibilities on electricity markets.

Power Generation and Distribution

Modeling, monitoring and control of energy producers, energy distribution networks and energy efficiency of consumers

Energy Efficient Annealing Lehr

Model-based control to minimize the energy input of an annealing lehr by using new, innovative actuators

Quantum Computing for the Energy Industry

In the BMWi-project EnerQuant, we develop algorithms for qubit-based quantum computers for solving an energy fundamental model with stochastic influence variables.