Journal Publications

Nitsch, F. and Wetzel, M. and Gils H.C., and Nienhaus, K. (2024). The future role of Carnot batteries in Central Europe: Combining energy system and market perspective. Journal of Energy Storage (85). doi: 10.1016/j.est.2024.110959

Schimeczek, C. and Nienhaus, K. and Frey, U. and Sperber, S. and Sarfarazi, S. and Nitsch, F. and Kochems, J. and El Ghazi, AA (2023). AMIRIS: Agent-based Market model for the Investigation of Renewable and Integrated energy Systems. Journal of Open Source Software, 8(84), 5041, doi: 10.21105/joss.05041

Nitsch, F. and Deissenroth-Uhrig, M. and Schimeczek, C. and Bertsch, V. (2021) Economic evaluation of battery storage systems bidding on day-ahead and automatic frequency restoration reserves markets. Applied Energy (298). Elsevier. doi: 10.1016/j.apenergy.2021.117267.

Torralba-Díaz, L. and Schimeczek, C. and Reeg, M. and Savvidis, G. and Deissenroth-Uhrig, M. and Guthoff, F. and Fleischer, B. and Hufendiek, K. (2020) Identification of the Efficiency Gap by Coupling a Fundamental Electricity Market Model and an Agent-Based Simulation Model. Energies. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/en13153920.

Frey, U. and Klein, M. and Nienhaus, K. and Schimeczek, C. (2020) Self-Reinforcing Electricity Price Dynamics under the Variable Market Premium Scheme. Energies. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/en13205350.

Deissenroth, M. and Klein, M. and Nienhaus, K. and Reeg, M. (2017) Assessing the Plurality of Actors and Policy Interactions: Agent-Based Modelling of Renewable Energy Market Integration. Complex., 2017, 7494313:1-7494313:24, doi: 10.1155/2017/7494313

Scholarly Publications

Klein, M. (2020) Agent-based modeling and simulation of renewable energy market integration: the case of PV-battery systems. Dissertation. Institut für Technische Thermodynamik, Stuttgart. Link.

Reeg, M. (2019) AMIRIS - ein agentenbasiertes Simulationsmodell zur akteursspezifischen Analyse techno-ökonomischer und soziotechnischer Effekte bei der Strommarktintegration und Refinanzierung erneuerbarer Energien. Dissertation, Deutsches Zentrum für Luft- und Raumfahrt, Institut für Technische Thermodynamik, Stuttgart. Link.

Conference Contributions

2023

Kochems, J. and Sperber, E. and Schimeczek, C. and Nienhaus, K. (2023) Comparison of Support Schemes for Renewables - German Case Study of Project TradeRES, ECEMP 2023, 5.-6. Oct 2023, online. Link

Nitsch, F. and Schimeczek, C. (2023) Modelling bidding strategies of flexibilities under uncertain price forecasts - An agent-based modelling approach. INREC 2023, 5.-6. Sep. 2023, Essen, Germany. Link

Nitsch, F. and El Ghazi, AA. (2023). Energy systems analysis considering cross-border electricity trading: Coupling day-ahead markets in an agent-based electricity market model. OR 2023, 29. Aug. – 1. Sep. 2023, Hamburg, Germany. Link

Nitsch, F. and Schimeczek, C. and Nienhaus, K. and Frey, U. and Sperber, S. and Sarfarazi, S. and Kochems, J. and El Ghazi, AA. (2023). AMIRIS - The Open Agent-based Market Model: How to get involved and profit from our model. openmod Workshop 2023, 22.-24. Mar. 2023, Laxenburg, Austria. Link.

Nitsch, F. (2023). AMIRIS - The Open Agent-based Market Model: Get started. openmod Workshop 2023, 22.-24. Mar. 2023, Laxenburg, Austria. Slides. Video.

2021

Kochems, J. and Schimeczek, C. (2021) Integrating demand response into an agent-based simulation model of the German power sector. In: 10th International Ruhr Energy Conference. 10th International Ruhr Energy Conference, 15.-16. Sep. 2021, Duisburg, Germany. Link.

Nitsch, F. and El Ghazi, AA. (2021) Day-ahead market coupling in an agent-based electricity market model. 12. Internationale Energiewirtschaftstagung (IEWT), 8.-10.9. 2021, Vienna, Austria. Link.

Kochems, J. und Schimeczek, C. (2021) Agentenbasierte Modellierung von Lastmanagement im deutschen Stromsektor. 12. Internationale Energiewirtschaftstagung (IEWT), 8.-10.9. 2021, Vienna, Austria. Link.

Sarfarazi, S. and Sasanpour, S. and Cao, K. K. (2021) Quantifying the Economic Granularity Gap by Model Coupling: The Case of Prosumer Self-Consumption in Germany. 12. Internationale Energiewirtschaftstagung (IEWT) 2021, 8-10. Sep. 2021, Vienna, Austria. Link.

Nitsch, F. and Schimeczek, C. and Bertsch, V. (2021) Agent-based modelling of market competition among flexibility options using machine-learning techniques. 27th International Computing in Economics and Finance Conference, 14.-16. Juni 2021, Tokyo, Japan (online). Link.

Nitsch, F. and Schimeczek, C. and Bertsch, V. (2021) Agent-based modelling of market competition among flexibility options using Temporal Fusion Transformer networks. 31st European Conference On Operational Research, Athens, Greece. Link.

2020

Sarfarazi, S. and Deissenroth-Uhrig, M. and Bertsch, V. (2020) Assessing the Impacts of Community Energy Storage Systems on the German Electricity Market: An Agent-based Analysis. IEEE. 2020 17th International Conference on the European Energy Market (EEM), 16-18 Sept. 2020, Stockholm, Sweden. doi: 10.1109/EEM49802.2020.9221924.

Nitsch, F. and Schimeczek, C. (2020) Model in model: Electricity price forecasts in agent-based energy system simulations. 9th INREC 2020 - Uncertainties in Energy Markets, 09.-10. Sept. 2020, Essen, Deutschland. Link.

Sperber, E. and Schimeczek, C. and Frey, U. (2020) Agentenbasierte Modellierung und Simulation von Demand Response mit Wärmepumpen. 16. Symposium Energieinnovation, 12.-14. Feb. 2020, Graz, Österreich. Link.

Frey, U. and Schimeczek, C. and Deissenroth-Uhrig, M. and Fuchs, B. and Nienhaus, K. (2023). Rapid development and execution of complex agent-based energy system simulations: the FAME framework. In: 2023 Open Source Modelling and Simulation of Energy Systems (OSMSES), doi: 10.1109/OSMSES58477.2023.10089770.

Nitsch, F. and Schimeczek, C. and Frey, U. and Fuchs, B. (2023). FAME-Io: Configuration tools for complex agent-based simulations. Journal of Open Source Software, 8(84), 4958, doi: 10.21105/joss.04958.

Schimeczek, C. and Deissenroth-Uhrig, M. and Frey, U. and Fuchs, B. and El Ghazi, AA and Wetzel, M. and Nienhaus, K. (2023). FAME-Core: An open Framework for distributed Agent-based Modelling of Energy systems. Journal of Open Source Software, 8(84), 5087, doi: 10.21105/joss.05087.

Schimeczek, C. (2023). FAME: open Framework for distributed Agent-based Modelling of Energy systems. openmod Workshop 2023, 22.-24. Mar. 2023, Laxenburg, Austria. Slides. Video.

Schimeczek, C. and Frey, U. and Nitsch, F. and El Ghazi, AA. and Nienhaus, K. (2023). FAME - The open Framework for Agent-based Modelling. openmod Workshop 2023, 22.-24. Mar. 2023, Laxenburg, Austria. Link.