Christoph Schimeczek

ORCID: 0000-0002-0791-9365
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Research Areas
  • Smart Grid Energy Management
  • Electric Power System Optimization
  • Integrated Energy Systems Optimization
  • Electric Vehicles and Infrastructure
  • Energy, Environment, and Transportation Policies
  • Energy Efficiency and Management
  • Transportation and Mobility Innovations
  • Simulation Techniques and Applications
  • Microgrid Control and Optimization
  • Complex Systems and Time Series Analysis
  • Distributed and Parallel Computing Systems
  • Innovation Diffusion and Forecasting
  • Energy Load and Power Forecasting
  • Economic theories and models
  • Modeling and Simulation Systems
  • Renewable energy and sustainable power systems
  • Market Dynamics and Volatility
  • Vehicle emissions and performance
  • Renewable Energy and Sustainability

Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
2015-2024

Oldenburger Institut für Informatik
2023

Carl von Ossietzky Universität Oldenburg
2023

Data Management (Italy)
2023

In future electricity systems, not only generation but also frequency stabilization must be provided by low-carbon technologies. Battery systems are a promising solution to fill this gap. However, uncertainties regarding their revenue potential may hinder investments. Therefore, we apply the agent-based market model AMIRIS simulate day-ahead and an automatic restoration reserves market. Demonstrating setup, chose scenario with high shares of renewable energies. First, back-test our historic...

10.1016/j.apenergy.2021.117267 article EN cc-by Applied Energy 2021-06-23

Schimeczek et al., (2023). AMIRIS: Agent-based Market model for the Investigation of Renewable and Integrated energy Systems. Journal Open Source Software, 8(84), 5041, https://doi.org/10.21105/joss.05041

10.21105/joss.05041 article EN cc-by The Journal of Open Source Software 2023-04-17

Future power systems, in which generation will come almost entirely from variable Renewable Energy Sources (vRES), be characterized by weather-driven supply and flexible demand. In a simulation of the future Dutch system, we analyze whether there are sufficient incentives for market-driven investors to provide level security supply, considering profit-seeking myopic behavior investors. We co-simulate two agent-based models (ABM), one expansion operational time scale. The results suggest that...

10.1016/j.apenergy.2024.122695 article EN cc-by Applied Energy 2024-02-05

Electric vehicles can be a successful mobility alternative, but several obstacles and challenges have to overcome first. Especially the customers' purchase decision determines whether an innovation like electromobility will eventually successful. The objective of this paper covers investigation consumer's attitude towards electric their opinion on potential promotion measures its impact market penetration scenarios in different countries. aforementioned issues were investigated via European...

10.1007/s12544-015-0178-0 article EN cc-by European Transport Research Review 2015-09-01

In this paper we introduce FAME-Core, a Java library supporting development and execution of agent-based simulation models (ABM).It is main component the open Framework for distributed Agent-based Models Energy systems.FAME-Core offers rapid fast capabilities while reducing required programming skills efforts creating running complex ABM.

10.21105/joss.05087 article EN cc-by The Journal of Open Source Software 2023-04-17

A reliable and cost-effective electricity system transition requires both the identification of optimal target states definition political regulatory frameworks that enable these to be achieved. Fundamental optimization models are frequently used for determination cost-optimal configurations. They represent a normative approach typically assume markets with perfect competition. However, it is well known real systems do not behave in such an way, as decision-makers have information at their...

10.3390/en13153920 article EN cc-by Energies 2020-07-31

We present FAME-Io, a Python package designed to help users and creators of agent-based simulation models (ABM) better manage the preparation processing their input output datasets.The was built with needs researchers in mind.FAME-Io specifically developed interface open framework FAME 1 is published under Apache-2.0licence.The software offers various logging capabilities, shell-integrated documentation, as well extensive pre-run integrity checks helpful warning messages.It also allows...

10.21105/joss.04958 article EN cc-by The Journal of Open Source Software 2023-04-17

We report a potential self-reinforcing design flaw in the variable market premium scheme that occurs if renewable energy power plants receiving become price-setting market. A high share of is goal many countries on their transformation path to sustainable future. Accordingly, policies like feed-in tariffs have been place for years support investment. To foster alignment, premia introduced at least 12 European and further dozen additional world-wide. demonstrate both with mathematical model...

10.3390/en13205350 article EN cc-by Energies 2020-10-14

Developing innovative electricity market designs to facilitate a sustainable transition (near) 100% renewable power systems while meeting societal needs is crucial and actual topic of research. This article presents preliminary key findings from the H2020 Euro-pean project TradeRES, addressing this critical topic. The uses agent-based optimization models effectively capture behaviour different players, analyse current future system energy mixes selected European case studies with physical...

10.1049/icp.2023.2748 article EN IET conference proceedings. 2023-11-08

Agent-based models and simulations (ABMS) are capable of capturing complex behavior heterogeneous actors their emerging dynamics. Yet, in energy systems modelling, ABMS clearly a minority. To foster rapid development this field research we introduce the open software framework FAME. It provides powerful components for common tasks agent-based simulation addressing, e.g., data input, output, scheduling agent actions communication between agents. Java based on FAME highly performant, portable...

10.1109/osmses58477.2023.10089770 article EN 2023-03-27
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