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Smart Energy

energy-efficiency

Smart Energy

Electricity production from renewable energies is subject to strong fluctuations, especially in the case of solar and wind energy. The mismatch between supply and demand is resolved on the one hand by controlling conventional power plants, on the other hand by energy storage or by shifting peak demand on the demand side. The expansion of renewables also requires more decentralized coordinated units (e.g., in houses or communities) rather than large centralized units.

The entire system of power grid and communication network combined with storage and the continued efficient use of fossil fuels must ensure a reliable and cost-effective energy supply. We develop simulation models for the analysis, design, and control of such systems: on a smaller scale for microgrids (combined producers and consumers trying to remain self-sufficient) and on a larger scale for the main aspects of the energy system of a region or state.

Projects

Today's computer technology supports researchers and scientists in developing their complex ideas and innovative technologies. The use of such new ideas and technologies in an increasingly complex overall technical and ecological system will be examined in this project. These can be production systems, transport systems, computer networks, smart grids, or even a combination of such systems.

The modeling and analysis of such complex systems is supported by powerful data structures and algorithms,…

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Im Rahmen des Kooperationsprojektes SWARM der N-ERGIE AG und dem Energie Campus Nürnberg (EnCN) beschäftigt sich unter anderem der Lehrstuhl für Informatik 7 (Rechnernetze und Kommunikationssysteme) mit den Fragestellungen, unter welchen Bedingungen Privathaushalte in innovative Stromspeicher investieren, wie sich diese Speicher auf die Stabilität des Stromnetzes auswirken und welchen ökonomischen Nutzen sie aus Sicht des Netzbetreibers bzw. der Privathaushalte schaffen.

Übergeordnetes Ziel …

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The share of electricity from photovoltaics in the electricity mix in Germany has been greatly expanded in recent years. In the near future, electricity generation from renewable energies and thus also solar generated electricity will continue to increase. At high solar radiation, this already leads to a local oversupply in the power grid, while the photovoltaic at night naturally can not contribute to the power supply. Ensuring the nightly base load at night is therefore largely ensured by fossil…

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Development of the simulation framework i7-AnyEnergy for networked smart energy systems. For this framework methods such as discrete event simulation (e.g. for demand, weather and control models) and System Dynamics models (e.g. for energy and cost flows) are combined in one simulation model. It provides pre-built components from which more complex energy system models can be constructed in a flexible way. From the basic components for the energy demand (electrical and thermal), for energy conversion…

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The expansion of renewable energy sources and the growing share of decentralized and highly fluctuating energy producers pose complex challenges for modern energy systems. Storage systems such as CHP systems with heat storage, pure electricity storage, or other technologies also play a decisive role. Furthermore, communication between producers, consumers, and storage as well as the intelligent control of electricity producers and consumers is crucial for the stability and efficiency of the energy…

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With the expansion of highly fluctuating renewables, the introduction of electric vehicles or securing the sufficient energy coverage of portable electronic devices electrochemical battery systems of each kind and dimensioning gain greater significance in various fields of everyday life. To assure cost- and time-efficient analysis for system design and project planning the usage of powerful models simulating the behavior of these battery systems is inevitable. In the project “Multi Battery Systems –…

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Germany decided to reorganize its energy supply system in a sustainable way by initiating the energy transition (Energiewende). One of its main targets is to be one of the most environmentally friendly and energy-conserving economies worldwide with competitive energy prices at the same time. This requires the support of all-embarrassing analytical systems, which take into account the technical, market and regulatory framework at once. Existing energy system analysis models often neglect or simplify…

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The aim of this project is to develop a comprehensive simulation framework for the Palestinian electric power network system with a focus on a specific area. The simulation framework should be able to capture the different aspects of the future energy supply.The project will provide two levels of abstraction. The first simulation level will be very abstract and it helps the authorities, and especially the energy regulatory authority to take decisions to boost the penetration of renewable energy resources…

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The worldwide expansion of decentralized generation units, such as photovoltaic systems and wind power plants, means that the generation of electrical energy depends on the fluctuating supply of renewable energy sources. In the project "Control of energy systems based on self-learning algorithms", new self-learning control algorithms for energy systems are investigated and compared with classical control algorithms. Models written in Python will make it possible to create several self-learning agents…

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The electrical energy network is in a state of change due to the digitization and integration of decentralized energy sources. Pervasive and interconnected sensors and actuators are creating complex virtual control systems.
Based on an efficient communication network, innovative services and applications can provide an ecological, economical, stable and high-quality energy supply. A particular challenge are the diverse requirements and traffic patterns of applications that may be distributed…

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The goal of the project is to develop an energy IT system in a decentralized and locally autonomous manner, which is able to integrate a scalable number of actors. By means of decentralization of system responsibility a stable energy system shall be empowered based on renewable energies and storages. 

The solution approach is based on the combination of blockchain technology and the cellular concept. The smart IT infrastructure can be used to stabilize the electricity system on all levels …

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As part of
the Energy Transition, conventional power plants, which are currently
responsible for the stability of the electricity grid, are increasingly being
taken off the grid. New concepts are necessary to ensure system stability in the
future. Therefore, a model is developed to describe the flexibility of charging
processes of electric vehicles. Simulations are performed to investigate the
capability, reliability, limits and costs of ancillary services with electric
vehicles such as reserve…

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Publications of this research group