Dr. phil. Dipl.-Systemwiss. Sascha Holzhauer

Researcher

[Translate to Englisch:] Sascha Holzhauer

Telephone: +49 561 804-6513
Fax: +49 561 804-6027
Email: Sascha.Holzhauer[at]uni-kassel[dot]de

Site: Wilhelmshöher Allee 73
34121 Kassel

Room: WA-altes Gebäude (WA 73), ohne Raumangabe

Consultation Hours: on appointment

Research interests

The focus of my research is on communication architectures and new market designs of the energy system. These are required to address the challenges of increasingly decentralised and more fluctuating power generation, and to guarantee stable and efficient energy provision. I apply methods of agent-based simulation and network analysis. Methods: Agent-based simulation network analysis

Projects

Ladeinfrastruktur 2.0 06/2020 - 11/2022 Prof. Dr. rer. nat. Hoffmann, Clemens Dr. Holzhauer, Sascha; Gauglitz, Philip	The project addresses the optimisation of charging infrastructure for electric vehicles considering energy and grid economic criteria. To this end, demands and interests of car users, manufactures of cars and infrastructure, grid operators, and energy providers shall be integrated. The focus of the overarching analysis is on the interplay between products, tariffs, regulations, planning, and operation.

Publications

2021	Holzhauer, S., & Krebs, F. (2021). Managing flexibility in the distribution grid. In Institution of Engineering and Technology (IET) (Ed.), 5th E-Mobility Power System Integration Symposium (EMOB 2021) (pp. 121–127). https://doi.org/10.1049/icp.2021.2514
2020	Kocheril, G., Krebs, F., Nacken, L., & Holzhauer, S. (2020). Open and Integrative Modelling in Energy System Transitions - Conceptual Discussion about Model Reusability, Framework Requirements and Features. In 2019 SSC (Ed.), SSC2019 Proceedings (pp. 1–x). Springer.
2020	Holzhauer, S., Krebs, F., & Nölle, C. (2020). Simulating a Direct Energy Market: Products, Performance, and Social Influence. In H. Verhargen, M. Borit, G. Bravo, & N. Wijermans (Eds.), Advances in social simulation 2015 (pp. 233–238). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-030-34127-5_21
2020	Holzhauer, S., Krebs, F., Schön, A., & Braun, M. (2020). Using Prosumer Flexibility through a Direct Energy Market. In D. Schulz (Ed.), NEIS 2020 - Conference on Sustainable Energy Supply and Energy Storage Systems Hamburg, 14 – 15 September 2020 (pp. 255–260). Berlin: VDE-Verlag.
2019	Prasanna, A., Holzhauer, S., & Krebs, F. (2019). Overview of machine learning and data-driven methods in agent-based modeling of energy markets. In D. K., G. K., L. M., & S. G. (Eds.), INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft. Bonn: Gesellschaft für Informatik e.V.. (pp. 571–584). https://doi.org/10.18420/inf2019_73
2018	Holzhauer, S., Krebs, F., Fischer, T., & Mackensen, R. (2018). Architekturmodelle und Datenkonzepte im multimodalen Energiesystem. https://doi.org/10.5281/zenodo.3072736
2017	Holzhauer, S. (2017). Dynamic social networks in agent-based modelling. Kassel University Press, Kassel. https://doi.org/10.19211/KUP9783737602631

Talks

02/2022	Ladeinfrastruktur 2.0 Holzhauer, Sascha 5. Stakeholder Meeting EMOBICITY Kassel
09/2021	Managing Flexibility in the Distribution Grid Holzhauer, Sascha 5th E-Mobility Power System Integration Symposium Berlin
08/2018	Dynamic Social Networks in Agent-based Modelling Holzhauer, Sascha Social Simulation Conference 2018 Stockholm, Sweden
08/2018	Simulating a direct energy market - Products, performance, and social influence Holzhauer, Sascha Social Simulation Conference 2018 Stockholm, Sweden

CV

since 2017	Senior scientist at the University of Kassel, Integrated Energy Systems
2013-2016	Research associate at the University of Edinburgh, School of GeoSciences
2008-2013	Research associate at the Center for Environmental Systems Research (CESR), University of Kassel
2005	Environmental Science and Computer Science at Luleå University of Technology, Sweden
2002-2008	Diploma in Applied Systems Science at the University of Osnabrück (diploma thesis: Developing a Social Network Analysis and Visualisation Module for Repast Models)