Dr. phil. Dipl.-Systemwiss. Sascha Holzhauer

Researcher

[Translate to Englisch:] Sascha Holzhauer
Telephone
+49 561 804-6513
Fax
+49 561 804-6027
Email
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 - 03/2022

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

2020Holzhauer, 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
2020Holzhauer, 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.
2020Kocheril, 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.
2019Prasanna, 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
2018Holzhauer, S., Krebs, F., Fischer, T., & Mackensen, R. (2018). Architekturmodelle und Datenkonzepte im multimodalen Energiesystem. https://doi.org/10.5281/zenodo.3072736
2017Holzhauer, S. (2017). Dynamic social networks in agent-based modelling. Kassel University Press, Kassel. https://doi.org/10.19211/KUP9783737602631

Talks

08/2018Simulating a direct energy market - Products, performance, and social influence
Holzhauer, Sascha
Social Simulation Conference 2018
Stockholm, Sweden
08/2018Dynamic Social Networks in Agent-based Modelling
Holzhauer, Sascha
Social Simulation Conference 2018
Stockholm, Sweden

CV

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