Home | deutsch  | Legals | Data Protection | Sitemap | KIT
Thomas Dengiz

M.Sc. Thomas Dengiz

Researcher
Phone: +49 721 608-44678
Fax: +49-721-608-44682
thomas dengizGxa7∂kit edu


Institut für Industriebetriebslehre und Industrielle Produktion (IIP)

Westhochschule Gebäude 06.33 
Hertzstr. 16
76187 Karlsruhe

Raum 012



Research Abstract

The goal of my study is to quantify the flexibility of electrical heat supply in German households as a function of the various influencing factors like outside temperature, building insulation, heating technologies used and comfort level of the residents. For achieving this aim a model of a single building and of a residential area will be set up. This flexibility – together with data-driven supply forecasts – will be used to react to times when an oversupply of power produced by the volatile renewable energy sources is observable in the grid. By doing so we can estimate how much flexibility is necessary in order to avoid oversupply in certain areas in Germany (e.g. Schleswig-Holstein). Moreover, we aim to calculate the required macroeconomic investments to avoid excess energy in Germany by using different power-to-heat-systems. Those numbers will then be compared to the ones of other flexibility options like electric vehicles or batteries.

Research Interests

  • Operations Research and Optimisation
  • Energy System Analysis
  • Application of Data Mining and Machine Learning

Publications


Uncertainty handling control algorithms for demand response with modulating electric heating devices.
Dengiz, T.; Jochem, P.; Fichtner, W.
2019. 2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), Bucharest, RO, September 29 - October 2, 2019, Article no: 8905448, IEEE, Piscataway, NJ. doi:10.1109/ISGTEurope.2019.8905448
Reducing energy time series for energy system models via self-organizing maps.
Yilmaz, H. Ü.; Fouché, E.; Dengiz, T.; Krauß, L.; Keles, D.; Fichtner, W.
2019. Information technology, 61 (2-3), 125–133. doi:10.1515/itit-2019-0025
Demand response with heuristic control strategies for modulating heat pumps.
Dengiz, T.; Jochem, P.; Fichtner, W.
2019. Applied energy, 238, 1346–1360. doi:10.1016/j.apenergy.2018.12.008
Impact of different control strategies on the flexibility of power-to-heat-systems.
Dengiz, T.; Jochem, P.; Fichtner, W.
2018. Transforming Energy Markets : 41st IAEE International Conference, Groningen, Netherlands, 11th - 13th June, 2018, International Association for Energy Economics, Cleveland, (Ohio)
Comparison of Multi-objective Evolutionary Optimization in Smart Building Scenarios.
Braun, M.; Dengiz, T.; Mauser, I.; Schmeck, H.
2016. Applications of Evolutionary Computation (EvoApplications) : 19th European Conference, Proceedings Part 1, Porto, Portugal, 30th March - 1st April 2016. Ed.: G. Squillero, 443–458, Springer, Berlin. doi:10.1007/978-3-319-31204-0_29