Person
Thomas Bruno Schreiber
M. Sc.Team Leader
Address
Building: Modulbau Melaten Nord - 4122
Room: 02.06
Mathieustraße 30
52074 Aachen
Contact
- WorkPhone
- Phone: +49 241 80 49804
Information
Teaching
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Fields of activity
As team leader of the team Urban Energy Systems, Thomas Schreiber is working on the sustainable heating and cooling supply of tomorrow's districts. His particular focus here is on the digitalization of planning and operation-optimization processes. Methods from the fields of thermal network simulation, design- and operation-optimization, cloud-based monitoring systems and algorithms from the field of machine learning are applied in this context. In his role, Thomas Schreiber manages TransUrban.NRW, one of the first "Reallabore der Energiewende", in addition to several other projects. In TransUrban.NRW, all the methods mentioned above come together and are applied in an interdisciplinary consortium from science and industry with the goal to bring the next step of the “Wärmewende” to four real urban districts.
CV
Thomas Schreiber graduated in mechanical engineering from RWTH Aachen University, specializing in energy technology. Before his academic career, he completed an apprenticeship as a construction mechanic. In addition to smaller projects, which he accompanied as an assistant scientist at the Institute of Jet Propulsion and Turbomachinery and at the Institute for Energy Efficient Buildings and Indoor Climate, Thomas Schreiber worked at RheinEnergie AG during his studies. Since 2017, he has been researching topics related to sustainable energy supply for buildings with a focus on automation and digitalization at the Institute for Energy Efficient Buildings and Indoor Climate of the RWTH Aachen University. Since December 2020, he is team leader of the team Urban Energy Systems and is working on bringing the digitalization of the planning process and topics around operation-optimization from science to real urban districts.
Publications
Title | Author(s) |
---|---|
Application of two promising Reinforcement Learning algorithms for load shifting in a cooling supply system Journal Article (2020) | Schreiber, Thomas Bruno Eschweiler, Sören Baranski, Marc Müller, Dirk |
Auto-generation of hybrid automata for real-time operation optimization of building energy systems Contribution to a book, Contribution to a conference proceedings (2020) | Oberkirsch, Laurin Kriwet, Jonathan Baranski, Marc Schreiber, Thomas Bruno Müller, Dirk |
Application of data-driven methods for energy system modelling demonstrated on an adaptive cooling supply system Contribution to a conference proceedings (2020) | Schreiber, Thomas Bruno Baranski, Marc Müller, Dirk Netsch, Christoph Storek, Thomas Peter Bruno Wang, Tianyuan Eschweiler, Sören |
Monitoring, Analyse der Energieeffizienz und nachhaltige Nutzung eines Geothermiefeldes zur Gebäudeklimatisierung Contribution to a book, Contribution to a conference proceedings (2019) | Stoffel, Phillip Baranski, Marc Schreiber, Thomas Bruno Müller, Dirk |
From plans to programs : a holistic toolchain for building data applications Contribution to a conference proceedings, Journal Article (2019) | Bode, Gerrit Thorben Stinner, Florian Baranski, Marc Brümmendorf, Erik Cai, Xiaoye Kümpel, Alexander Schraven, Markus Hans Schreiber, Thomas Bruno Stoffel, Phillip Storek, Thomas Peter Bruno Müller, Dirk |
Modeling of Petri-Net-based control algorithms for the simulation-based improvement of the planning process of building energy systems Contribution to a book, Contribution to a conference proceedings, Journal Article (2019) | Cai, Xiaoye Schild, Thomas Peter Schreiber, Thomas Bruno Baranski, Marc Müller, Dirk |
Generating Generic Data Sets for Machine Learning Applications in Building Services Using Standardized Time Series Data Contribution to a conference proceedings (2019) | Stinner, Florian Yang, Yingying Schreiber, Thomas Bruno Bode, Gerrit Thorben Baranski, Marc Müller, Dirk |
An automated feature selection for time-series classification in building automation and control systems Contribution to a book, Contribution to a conference proceedings (2019) | Schreiber, Thomas Bruno Bode, Gerrit Thorben Baranski, Marc Müller, Dirk |
A time series clustering approach for Building Automation and Control Systems Journal Article (2019) | Bode, Gerrit Thorben Schreiber, Thomas Bruno Baranski, Marc Müller, Dirk |
Comparing unsupervised and supervised machine learning techniques to improve time-series classification in building and energy data Contribution to a conference proceedings (2018) | Bode, Gerrit Thorben Schreiber, Thomas Bruno Baranski, Marc Müller, Dirk |