Christopher Ripp

M.Sc. Christopher Ripp

Industrial energy management

+49 (0) 6151 16-21715
fax +49 (0) 6151 16-21712

S3|10 304
Landgraf-Georg-Str. 4
64283 Darmstadt

Research Interest

Field of Research: Industrial energy management, CO2 intensity

Keywords: mulit-modal energy system modelling, carbon intensity of energy, energy conversion, energy storages

Our research goal is the development of methods for further increase the flexibilization of the energy demand, which is one of the most important keys to a successful Energiewende. Therefore, we are focusing on the enhancement of transparency of multi-modal energy systems. We concentrate on the development and optimization of detailed digital replica of complex multi-modal energy related industrial systems and processes. Besides this, we aim for a renewable as possible supply, use and conversion of energy and thereby as climaneutral as possible at minimal costs.

To achieve this we simplify energy systems in such a way that we can solve it by mixed-integer linear programming (MILP) or linear programming (LP). Our whole system analysis is done in our own system modelling and optimization tool (similar to OSeMOSYS or oemof)

Our main research goals can be summarized as followed:

  • Establish the method of the “digital twin“ in context of digitization of energy systems
  • Optimizing the system setup to minimize cost and emissions by adding new technologies or rearrange the use of available ones
  • Uncertainty quantification (to obtain ±XX% cost and/or CO2 emission)
  • Development of a sensitivity analysis for small system constraint changes

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Open theses

Supervisor: Christopher Ripp
Earliest start: immediately
Type: Master Theses


EINS develops together with an industrial partner a tool to simulate and optimize future multi-modal energy systems. This is yields consistent master plans of the Energiewende that directly shape the political and economic discussions in the energy sector. In this project the existing tool that is based on mixed-integer linear programming shall be modified to support the decomposition of the simulation / optimization work. This is necessary for large models, such as one that models all energy sectors in hourly resolution from now until 2050, which leads to very large problems (tens of millions of variables). For different general purpose decomposition approaches (Benders, Wolfe-Dantzig) it shall be examined how to optimally apply them to the problem, i.e. which splits are optimal. At least one algorithm shall be implemented in the existing framework and tested for its properties. Optimally, one could even develop problem- specific novel decomposition approaches.

Short Bio

  • Since 2017: PhD student at EINS
  • 2014 - 2017 KONEXUS Consulting Group GmbH, Senior Consultant
    • Leading Projectmanager of strategy and management consulting projects for several german and austrian energy providers

    • Development of dynamic customer, energy consumption and sales models

    • Several other business projects in the energy domain, such as energy procurement, controlling, businessplan development for spin-offs, etc.

  • 2013 Master thesis "Analysis of the electrical energy requirements of the GSI facility" at the TU Darmstadt in cooperation with GSI (Helmholtzentrum für Schwerionenforschung)

  • 2011 - 2013 Master degree in technical physics at the TU Darmstadt

  • 2005 - 2011 Bachelor degree in physics at the TU Darmstadt

Publications

Operational Carbon Mitigation Potential of Flexible Multi-Energy Systems: A Case Study

Christopher Ripp ; Julia Barbosa ; Florian Steinke :
*accepted* Operational Carbon Mitigation Potential of Flexible Multi-Energy Systems: A Case Study.
To appear in: 2021 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe 2021), virtual Conference, 18.-21.10.2021,
[Conference Contribution] [TUDBiblio][BibTeX], (2021)

Multi-modales Echtzeit Energiemonitoring – Multi-modales echtzeit Energiemonitoring als Basis eines digitalen Zwillings des Energiesystems des Campus Lichtwiese der Technischen Universität Darmstadt

Christopher Ripp ; Mario Beykirch ; Johannes Oltmanns ; Florian Steinke :
Multi-modales Echtzeit Energiemonitoring – Multi-modales echtzeit Energiemonitoring als Basis eines digitalen Zwillings des Energiesystems des Campus Lichtwiese der Technischen Universität Darmstadt.
In: Digitalisieren – Sektoren koppeln – Flexibilisieren. Systemische Integration der Bioenergie und weiterer erneuerbarer Energien in Gebäuden & Quartieren, virtual Conference, 24.11.2020,
[Conference Contribution] [TUDBiblio][BibTeX], (2020)

Efficient Sensitivity Analysis for MPC Controlled Multimodal Energy Systems

Florian Steinke ; Christopher Ripp :
Efficient Sensitivity Analysis for MPC Controlled Multimodal Energy Systems.
In: GMA-Fachausschuss 1.50 "Grundlagen vernetzter Systeme", In: GMA-Fachausschuss 1.50 "Grundlagen vernetzter Systeme",
[Conference Contribution] [TUDBiblio][BibTeX], (2019)

Balancing power potential of pools of small-scale units

Jonas Hülsmann ; Christopher Ripp ; Florian Steinke :
Balancing power potential of pools of small-scale units.
In: 16th International Conference on the European Energy Market, Ljubljana, Slovenia, 18-20 Sept. 2019,
DOI: 10.1109/EEM.2019.8916477,
[Conference Contribution] [TUDBiblio][BibTeX], (2019)

Sensitivity analysis of linear programming economic dispatch models

Christopher Ripp ; Florian Steinke :
Sensitivity analysis of linear programming economic dispatch models.
In: ETG-Kongress 2019 - Das Gesamtsystem im Fokus der Energiewende, Esslingen am Neckar, Germany, 08.-09.Mai 2019,
[Conference Contribution] [TUDBiblio][BibTeX], (2019)

CO2 reduzieren mit Power-to-Heat: Woher weiß ich wann?

Florian Steinke ; Christopher Ripp :
CO2 reduzieren mit Power-to-Heat: Woher weiß ich wann?.
In: 4. Dialogplattform Power-to-Heat (VDE), Berlin, Deutschland, 11.-12.06.2018,
[Conference Contribution] [TUDBiblio][BibTeX], (2018)

Modeling Time-dependent CO_2 Intensities in Multi-modal Energy Systems with Storage

Christopher Ripp ; Florian Steinke :
Modeling Time-dependent CO_2 Intensities in Multi-modal Energy Systems with Storage.
In: ArXiv e-prints,
[Article] [TUDBiblio][BibTeX], (2018)

A First Shot at Time-Dependent CO2 Intensities in Multi-Modal Energy Systems

Christopher Ripp ; Florian Steinke :
A First Shot at Time-Dependent CO2 Intensities in Multi-Modal Energy Systems.
In: 2018 15th International Conference on the European Energy Market (EEM), Lodz, Poland, June 27–June 29, 2018, P. 1-5, ISSN 2165-4093,
DOI: 10.1109/EEM.2018.8469841,
[Conference Contribution] [TUDBiblio][BibTeX], (2018)