Daniel Scharrer

Dr.-Ing. Daniel Scharrer

Department of Computer Science
Chair of Computer Science 7 (Computer Networks and Communication Systems)

Room: Room 06.150
Martensstr. 3
91058 Erlangen

Short Biography

Starting 2010, Daniel Scharrer studied Energy Engineering at the FAU Erlangen-Nuremberg and successfully completed his studies in 2016. During his studies, he worked in the Department for Surface Technology of the Schaeffler GmbH in Herzogenaurach and for the Chair of Energy Process Engineering in Nuremberg. After a long stay abroad, he has been working as a research assistant at the Chair of Computer Science 7 for Computer Networks and Communication Systems since 2017. With the focus on Energy Process Engineering during his master’s degree, he is now working on the implementation of thermal components in the i7-AnyEnergy simulation model.

More Information

2024

2023

2022

2021

2020

2019

2018

  • Multi-sector coupled energy system modeling on a regional level

    (Third Party Funds Group – Overall project)

    Term: 2021-05-01 - 2024-04-30
    Funding source: Bundesministerium für Wirtschaft und Technologie (BMWi)
    URL: https://www.esm-regio.de
    Abstract
    Reducing primary energy use and greenhouse gases are central goals of the energy transition. However, switching from fossil to regenerative energy sources is not enough to achieve them. An overarching view and optimization of the different sectors of the energy system - electricity, gas, heat and transport - can significantly advance the further development of the energy system in Germany. Potential exists above all on a regional level.

    The goal of the ESM-Regio project - short for "Multisectoral Coupled Energy System Modeling on a regional level" - is to create a temporally high-resolution energy system model on a county level that takes into account the four sectors of electricity, gas, heat and transport as well as the required interface technologies. A key feature of the project is a cross-sector model logic. Suitable simulation methods enable a holistic analysis and optimization of the system operation under consideration of the four relevant sectors of the energy system.

  • Dynamic Simulation of Energy Flows and Storage of Waste Heat from Data Centers and of the Integration of Large Storage Systems in Local Heating Networks

    (Third Party Funds Group – Sub project)

    Overall project: Energie Campus Nürnberg 2
    Term: 2017-01-01 - 2019-12-31
    Funding source: Bayerische Staatsministerien
    Abstract
    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 production from coal and lignite with corresponding CO2 emissions.

    By using base load storage systems with low-temperature storage, the use of polluting thermal power plants should be reduced. During the day, heat from geothermal energy or industrial processes is upgraded with excess electricity from photovoltaics using heat pumps (HP) and stored in a low-temperature storage system. To generate nocturnal base load power, this heat energy is then removed from the storage via an Organic Rankine Cycle (ORC) process.

    The aim of the project is the dynamic simulation of energy flows in HP-ORC heat storages that are integrated into the energy system and use excess heat and power. With the simulation models, the dimensioning and suitable operating modes for the economic operation of low-temperature storage systems should be investigated.