Person

Thomas Bruno Schreiber

M. Sc.

Team Leader

Thomas Bruno Schreiber Copyright: EBC
Institute for Energy Efficient Buildings and Indoor Climate

Address

Building: Modulbau Melaten Nord - 4122

Room: 02.06

Mathieustraße 30

52074 Aachen

Contact

WorkPhone
Phone: +49 241 80 49804
Fax Fax: +49 241 80 49769
 

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