About Me.

I am PostDoc at the Steinbuch Centre for Computing at KIT in Karlsruhe. Furthermore, I am working on an industry project in the research group of Prof. Erika Ábrahám at RWTH Aachen University
Portrait Pascal Richter Portrait Pascal Richter

Dr. rer. nat. Pascal Richter
Research Group Theory of Hybrid Systems of Prof. Erika Ábrahám at RWTH Aachen University

After my studies of mathematics and computer science at RWTH Aachen University I did my Ph.D. thesis in the research group of Prof. Martin Frank at MathCCES institute. After a one year lasting PostDoc in the group of Prof. Michael Herty, I am now PostDoc at the Steinbuch Centre for Computing at KIT in Karlsruhe. Furthermore, I am working on an industry project in the research group of Prof. Erika Ábrahám at RWTH Aachen University. See my full CV   .
My method-oriented research focuses on:
  • Finite Volume Methods for Two-Phase Flow
  • Modeling
  • Optimization
  • Uncertainty Quantification
These techniques are applied to several application areas. Furthermore, in interdisciplinary projects the group acts as a bridge to transfer advanced mathematical techniques to real-world problems. Examples include:
  • Dynamic Control of Two-Phase Flow Through a Network of Solar Heated Tubes
  • Optimal Heliostat Field Layouts for Solar Tower Power Plants
  • Robust Placement of Wind Turbines in Offshore Wind Farms
  • Optimized Routing of Data and Power Cables Within Wind Farms and Solar Fields
  • Modeling and Simulation of Photovoltaic Cells
A list of selected Research Projects is given below.

Teaching and Publications.

Seminars & Labs
  1. Selected Topics in Renewable Energy: Web Application, summer term 2020
  2. Selected Topics in Renewable Energy: Modeling & Optimization, summer term 2020
  3. Selected Topics in Renewable Energy: Web Application, winter term 2019/20
  4. Selected Topics in Renewable Energy: Modeling & Optimization, winter term 2019/20
  5. Selected Topics in Renewable Energy: Web Application, summer term 2019
  6. Selected Topics in Renewable Energy: Modeling & Optimization, summer term 2019
  7. Selected Topics in Renewable Energy: Web Application, winter term 2018/19
  8. Selected Topics in Renewable Energy: Modeling & Optimization, winter term 2018/19
  9. Selected Topics in Renewable Energy: Web Application, summer term 2018
  10. Selected Topics in Renewable Energy: Modeling & Optimization, summer term 2018
  11. Selected Topics in Renewable Energy: Modeling, Optimization & Visualization, winter term 2017/18
  12. Selected Topics in Renewable Energy: Modeling, Optimization & Visualization, summer term 2017
  13. Selected Topics in Renewable Energy: Modeling, Optimization & Visualization, winter term 2016/17
  14. Selected Topics in Renewable Energy: Modeling, Optimization & Visualization, summer term 2016
  15. Selected Topics in Renewable Energy: Modeling, Optimization & Visualization, winter term 2015/16
  16. Selected Topics in Renewable Energy: Modeling, Optimization & Visualization, summer term 2015
  17. Selected Topics in Renewable Energy: Modeling, Optimization & Visualization, winter term 2014/15
  18. Selected Topics in Renewable Energy: Modeling, Optimization & Visualization, summer term 2014
  19. Selected Topics in Renewable Energy: Modeling, Optimization & Visualization, winter term 2013/14
  20. Selected Topics in Renewable Energy: Modeling, Optimization & Visualization, summer term 2012
Lectures
  1. Mathematics IV (CES), summer term 2017
  2. Mathematics V (CES), winter term 2016/17
  3. Mathematics IV (CES), summer term 2016
  4. Mathematics V (CES), winter term 2015/16
  5. Mathematics IV (CES), summer term 2015
  6. Mathematics III (CES), winter term 2014/15
  7. Mathematics II (CES), summer term 2014
  8. Computational Engineering, winter term 2013/14
  9. Mathematics I (CES), winter term 2011/12
  10. Mathematics IV (CES), summer term 2011
UROP Lab Projects
  1. Optimization of Solar Tower Power Plants, May-July 2014
  2. Modeling of Solar Tower Power Plants, May-July 2012
  3. Optimal Police Patrol, May-July 2011
Education Lab
  1. Modeling Week of Kaiser-Karls Gymnasium (high school) in Aachen, July 2013
  2. CAMMP Modeling Week in Voeren, Belgium, June 2013
  3. Modeling Week of Couven Gymnasium (high school) in Aachen, July 2012
  4. CAMMP Modeling Week in Voeren, Belgium, June 2012
  5. CAMMP Modeling Week in Nideggen, May 2011
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Master Theses
  1. L. Vollmann: Parameter Study of Genetic Algorithms for Layout Optimization in Renewable Energy Power Plants (2020).   [under development]
  2. M. Li: Optimized Control of an HVAC System in Buildings using Sequence Model and Deep Reinforcement Learning (2020).   [under development]
  3. J. Scheiper: Cloud Reconstruction for Solar Thermal Power Plants (2020).   [under development]
  4. N. von Stein: Cloud-Nowcasting using Artificial Intelligence (2020).   [under development]
  5. S. Coumbassa: Optimal Storage Strategy for Solar Tower Power Plants (2019).  
  6. M. Maghnie: Simulation and Layout Optimization of Offshore Wind Farms (2019).  
  7. A. Sachtje: Predictive Control of the flow in Networks of Tubes in Solar Thermal Power Plants (2019).  
  8. L. Franke: Simulation and Optimization of Solar Tower Power Plants (2018).  
  9. L. Netz: Analysis on Discretization of Gene Parameters in Evolutionary Algorithms (2017).  
  10. G. Heiming: Development of a Techno-Economic Mdel for Solar Tower Power Plants (2017).  
  11. P. Luckner: Optical and Electrical Simulation of Solar Cells (2017).  
  12. M. K. Lal: Solar Tower Heliostat Field Layout Optimization - A Black-Box Optimizer, Master Thesis, Department of Mathematics, RWTH Aachen University & IIT Madras (2017).  
  13. J. Wolters: Uncertainty Quantification Wind Farm Models (2016).  
  14. L. Gerdes: Generation of Probabilistic Models for Solar Thermal Power Plants (2016).  
  15. G. Jennessen: Optimierung eines Heliostatenfeldes unter Einsatz eines genetischen Algorithmus (2013).  
Bachelor Theses
  1. L. Heilmeyer: Modeling Noise of Wind Turbines (2020).   [under development]
  2. P. Schulz: Virtual Reality for the Visualization of Wind Farms (2020).   [under development]
  3. N. Speetzen: Accelerated Aiming Strategy for Central Receiver Systems with Integer Linear Optimization Using Heuristics (2020).   [under development]
  4. L. Fischer: Optimal Control Strategy for a Hybrid Renewable Energy Power Plant (2020).   [under development]
  5. S. Marbaise: Accelerated Cable Routing for Offshore Wind Farms with Integer Linear Optimization Using Heuristics (2020).   [under development]
  6. F. Hövelmann: Advanced Raytracer for Solar Tower Power Plants (2019).  
  7. K. Yaneva: Optimized Control for Climate in Buildings Using Artificial Intelligence (2019).  
  8. C. Schmidt Muniz: GPU Raytracer for Solar Tower Power Plants, Karlsruhe Institute of Technology (2019).  
  9. J. Düstersiek: Uncertainty Quantification and Multi-Objective Optimization of Wind Farms (2019).  
  10. M. Cherek: Control of the Temperature in a Network of Tubes of Solar Thermal Power Plants (2018).  
  11. F. Kepp: Robust Optimization of Aiming Strategies of Heliostats in Solar Tower Power Plants (2018).  
  12. T. von Platen: Optimal Cable Routing of Heliostats in Solar Tower Power Plants Using Integer Linear Programming (2018).  
  13. G. Wicke: Optimization of Aiming Strategies for Heliostats in Solar-Thermal Power Plants (2018).  
  14. F. Ossenbrink: Shortest Cable Routing of Heliostats in Solar Tower Power Plants (2017).  
  15. R. Cakar: Uncertainty quantification of wind farm models (2017).  
  16. J. Tinnes: Acceleration of Ray-Tracer Models for the Simulation of Solar Tower Power Plants with Real Weather Data (2017).  
  17. P. Cremerius: Optimal Cable Layout for Offshore Wind Farms by Integer Linear Optimization (2016).  
  18. J. Lust: Shortest Cable Routing in Offshore Wind Farms (2016).  
  19. G. Heiming: Modeling and Simulation of Offshore Wind Farms (2015).  
Project Works
  1. A. Demerdjieva, P. Gschladt, D. Owen, N. Speetzen, J. Wirth: Optimal Wind Farm Cable Routing (2019).   [under development]
  2. J. Beckmann, J. Beerwerth, K. Liao, L. Sander: Cloud Nowcasting for Solar Thermal Power Plants (2019).   [under development]
  3. C. Fu, C. Witte, D. Wolff: Flow in Network of Tubes in Solar Thermal Power Plants (2017).  
  4. L. van der Peet, T. Claus, F. Leins, D. Boelke: Multi-objective optimization of a solar tower heliostat field (2017).  
  5. J. Sasse, L. Schumacher, A. Kristof: Detecting Soiling of Heliostat Surfaces (2017).  
  6. L. Netze, J. Theissen, P. Peltzer, A. Niebrügge: Detecting Deformations of Heliostat Surfaces Using Deflectometry with Drones (2017).  
  7. F. Kepp, B. Terschanski, A. Zingler: Simulation of Direct-Steam Generation in Solar Power Plants using Finite Volume Methods (2017).  
  8. K. Paul, Konstantin Key, M. Beikirch: Parallelized High-Order Finite Volume Methods on Non-Uniform 1D Grids (2016).  
  9. S. Jeschke, F. Löschner: Validation and Extension of the Eddy Viscosity Wake Model for Wind Turbines (2016).  
  10. M. Cherek, Y. Düren, M. Klösges, J. Stimm: Parallel Simulation of Two-Phase Flow Using Different Numerical Schemes in C++ (2015).  
Seminars & Labs
  1. S. Bender, F. Gruczka, S. Maden, M. Mortaga, L. Scheidt, S. Suder, D. Vladimirova, T. Wattenberg: Web Application for the Simulation of Renewable Energy (2020).   [under development]
  2. J. Hahnfeld, R. Klingenberg, J. Neuhaus, C. von Oy, P. Querl: Simulation and Optimization of Renewable Energy (2020).   [under development]
  3. F. Kepp: Heuristic Aiming Strategies for Solar Tower Power Plants (2019).
  4. M. Cherek: Regulating the Temperature in a Network of Tubes in Solar Thermal Power Plants (2019).
  5. A. Brinke, D. Le, J. Leufen, J. Pörzgen, J. Schlabertz, P. Schroer, P. Specht, L. Vatskicheva, N. von Stein, F. Wehnert, P. Wienholt, C. Zecha: Heliostat Calibration with Drones in Solar Tower Power Plants (2019).
  6. L. Gaudino, G. Kolhof, N. Malyschkin, L. Neumann, Y. Pfeiffer, J. Rickert, P. Schulz, K. Sommer, Y. Yoon: Web Application for the Simulation of Renewable Energy (2019).
  7. L. Aldenhoff, H. Heinemann, J. Gösgens, M. Hippler, F. Rüdel, K. Wehrmeister: Simulation and Optimization of Renewable Energy (2019).
  8. J. Düstersiek, L. Heilmeyer, W. Hentze, Sven Timpe: Heuristic Layout Optimization of Renewable Energy Power Plants (2019).
  9. M. Bhardwaj, B. Saeed, W. Lu: Web Application for the Simulation of Offshore Wind Farms (2019).
  10. S. Das, F. De Moras Lara, N. Gurung: Web Application for the Simulation of Solar Tower Power Plants (2019).
  11. K. Subash, P. Sutiono: Real-Time Weather Map (2019).
  12. J. Busse, C. Steinhaus, J. Nalbach, F. Frei, M. Barbaric, H. Kämmerling: Simulation and Optimization of Solar Tower Power Plants (2019).
  13. Y. Zhang, F. Hövelmann, M. Bögershausen: Simulation and Optimization of Wind Farms (2019).
  14. T. von Platen: Optimal Cable Routing for Solar Tower Power Plants (2019).
  15. A. Josseron: Accelerated Annual Simulation of Solar Tower Power Plants (2018).
  16. J. Scheiper, S. Hilker, A. Brocker, C. del Valle: Offshore Wind Farm Web Application (2018).
  17. J.F. Konopka, R. Drahovsky, M. Thelen: Heliostat Field Layout Optimization (2018).
  18. D. Tran: Shortest Cable Routing of Heliostats in Solar Tower Power Plants (2018).
  19. S. Günther, U. Munir, K. Prokhorova: Realtime Visualization of Offshore Windpark Data (2018).
  20. S. Froitzheim, M. Schulz, L. Vollmann: Geo Data Processing for Wind Farm Simulations (2018).
  21. C. Muniz: Optimal control of solar thermal power plants (2018).
  22. A. Alt, I. Bongartz, M. Maghnie: Heliostat Field Layout Optimization (2018).
  23. J. Uthoff, M. Meskes, J.-M. Bücken: Modeling Onshore Wind Farms (2018).
  24. J. Groß, S. Meeger, S.-C. Ma, S. Hadzhidenev: Offshore Web Application (2018).
  25. J. Düstersiek, J. Esser: Offshore Wind Farm Optimization (2018).
  26. S. Koß, J. Nagel: Validation of Models for Solar Tower Power Plants (2018).
  27. L. Heilmeyer, M. Laska: Fleet Tracking Web Application (2018).
  28. R. Broeske: Optical Simulation of Thin-Film Solar Modules Using Maxwell’s Equations (2017).
  29. J. Strüver, P. Feser, S. Coumbassa, S. Pape: Solar Tower Web Application (2017).
  30. J. Hermanns, J. Hermanns: Prediction of Long-Term Corrected Wind and Sun Statistics (2017).
  31. T. Strothmann, H. Arndt: Heliostat Field Layout Optimization (2017).
  32. A. Drichel, B. Loup, L. Franke: Multi-Objective Layout Optimization of Offshore Wind Farms (2017).
  33. H. Mughis: Interactive WebGL for the Solar Tower Web Application (2017).
  34. A. Rezchikova: Ensemble Averaging and its Application to Multicomponent Flows (2016).
  35. J. Schafer, N. Lukas, C. Kirchner, P. Bläser: Solar Tower Web Application (2016).
  36. L. Netz, T. Hofmann, L. Banu: Improving the Solar Tower Model (2016).
  37. R. Lad: Gradient Based Heliostat Field Layout Optimization (2016).
  38. M. Lüger, M. Mades, K. Jahns: Web Application Frontend for a Solar Tower Simulation Software (2016).
  39. A. Faizan, M. Kajzer, S. Kurowski, A. Wachtel: Solartower Web Application - Simulation Backend (2016).
  40. M. Erdenedash, E. Scharwächter: Topography and Area Constraints for Heliostat Power Plants (2015).
  41. T. Marx, W. Pessin: GUI for Solartower Simulation and Optimization (2015).
  42. C. Maluwelmeng: Modeling and Optimization of Solar Tower Power Plants, UROP project, RWTH Aachen University & Iowa State University (2014).
  43. L. Gerdes, M. Großfengels, D. Laukamp: Structured Optimization of a Heliostat Field (2014).
  44. H. Spitzer, A. Mitseva, T. Berling: Multi-Objective Optimisation of a Solar Tower Heliostat Field (2013).
  45. M. Hauer: Modeling Sun Shape and Reflective Error in a Solar Tower Power Plant, UROP project, RWTH Aachen University & University of Alberta (2012).
  46. M. Ewert, O. Navarro Fuentes: Modeling and Simulation of a Solar Tower Power Plant (2012).
  47. A. Sutanto: Optimal Police Patrols, UROP project, RWTH Aachen University & Carnegie Mellon University (2011).
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Journal Publications
  1. P. Richter: Entropy-stable Finite Volume Methods for the Seven Equations Two-Phase Flow Model, Journal xx (2020). [Preprint]
  2. P. Richter, J. Wolters, A. Verhoeven-Mrosek, M. Frank: Uncertainty Quantification of Offshore Wind Farms, Journal of Applied Energy (2020).  [Preprint]
  3. S. Kuhnke, P. Richter, F. Kepp, J. Cumpston, A. Koster, C. Büsing: Robust Optimal Aiming Strategies in Concentrated Solar Tower Power Plants, Journal of Renewable Energy, 152 (2020): 198-207.  
  4. M. Frank, P. Richter, C. Roeckerath, S. Schönbrodt: Wie funktioniert eigentlich GPS? - Ein computergestützter Modellierungsworkshop, Digitale Werkzeuge, Simulationen und mathematisches Modellieren: Didaktische Hintergründe und Erfahrungen aus der Praxis, Springer (2018), 137-163.  
  5. S. Müller, M. Hantke, P. Richter: Closure Conditions for Non-Equilibrium Multi-Component Models, Continuum Mechanics and Thermodynamics, 28.4 (2016): 1157-1189.  
Refereed Proceedings
  1. T. Reuscher, L. Pyta, T. Konrad, P. Richter, D. Abel: Proper Orthogonal Decomposition and Bilinear Lyapunov Control of Parabolic Trough Collectors, 27th Mediterranean Conference on Control and Automation (MED). IEEE, pp. 439-444, (2019).  
  2. P. Richter, F. Kepp, C. Büsing, S. Kuhnke: Optimization of robust aiming strategies in solar tower power plants, In AIP Conference Proceedings (Vol. 2126, No. 1, pp. 030045). AIP Publishing (2018).  
  3. P. Richter, J. Tinnes, P. Schwarzbözl, A. Rong, M. Frank: Efficient Ray-Tracing with Real Weather Data, In AIP Conference Proceedings (Vol. 2033, No. 1, pp. 210014). AIP Publishing (2017).  
  4. P. Richter, G. Heiming, N. Lukas, M. Frank: SunFlower: A New Solar Tower Simulation Method for Use in Field Layout Optimization, In AIP Conference Proceedings (Vol. 2033, No. 1, pp. 210015). AIP Publishing (2017).  
  5. P. Richter, D. Laukamp, L. Gerdes, M. Frank, E. Ábrahám: Heliostat Field Layout Optimization with Evolutionary Algorithms, In EPiC Series in Computing (Vol. 41, pp. 240-252). GCAI 2nd Global Conference on Artificial Intelligence (2016).  
  6. C. A. Domínguez-Bravo, S. J. Bode, G. Heiming, P. Richter, E. Carrizosa, E. Fernández-Cara, M. Frank, P. Gauché: Field-Design Optimization With Triangular Heliostat Pods, In AIP Conference Proceedings (Vol. 1734, No. 1, pp. 070006). AIP Publishing, (2016).  
  7. P. Richter, M. Frank, E. Ábrahám: Multi-objective Optimization of Solar Tower Power Plants, Proceedings of the 18th European Conference on Mathematics for Industry (ECMI), Volume of Progress in Industrial Mathematics at ECMI 2014, Springer (2014): 771-778.  
  8. P. Richter, E. Ábrahám, G, Morin: Optimisation of Concentrating Solar Thermal Power Plants with Neural Networks, Proceedings of the International Conference on Adaptive and Natural Computing Algorithms (ICANNGA), Volume 6593 of LNCS, Springer (2013), 190–199.  
  9. G. Morin, P. Richter, P. Nitz: New Method and Software for Multi-Variable Techno-Economic Design Optimisation of Parabolic Trough Power Plants, Proceedings of the 16th SolarPACES International Conference (2010).  
Mathematics Education
  1. M. Frank, K. Krycki, P. Richter, C. Roeckerath: Habe ich das Zeug zum MINT-Studium? Die CAMMP week als Orientierungshilfe für Schüler/innen , Proceedings of the 2nd khdm Workshop (2013).  
  2. M. Frank, K. Krycki, P. Richter, C. Roeckerath: CAMMP-Online: Wie funktioniert eigentlich... und was hat das mit Mathe zu tun? , Proceedings of the 2nd khdm Workshop (2013).  
Theses
  1. P. Richter: Simulation and Optimization of Solar Thermal Power Plants, Ph.D. Thesis, Department of Mathematics, RWTH Aachen University (2017).  
  2. P. Richter: Modellierung und Simulation der Direktverdampfung in Absorberrohren solarthermischer Kraftwerke, Diploma Thesis, Department of Mathematics, RWTH Aachen University and Fraunhofer ISE (2011).  
  3. P. Richter: Simulation und Auslegungsoptimierung solarthermischer Kraftwerke unter Einsatz evolutionärer Algorithmen und neuronaler Netze, Diploma Thesis, Department of Computer Science, RWTH Aachen University and Fraunhofer ISE (2009).  
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News.

Open Theses

  25 Mar 2020
Available topics for theses:
  • Dynamic aiming strategy for solar tower power plants  
  • Optimal cabling of offshore wind farms  
  • Smart building – Optimized control for climate in buildings  
  • Robust predictive control in network of tubes in parabolic trough solar thermal power plants  
  • Heliostat calibration with drones in solar tower power plants  
  • Dynamic cloud nowcasting using artificial neural networks  
  • Heuristic layout optimization for solar tower power plants  
  • Raytracer for the simulation of solar tower power plants  
  • Web application for the simulation of offshore and onshore wind farms  
Please contact us if you are interested in these or similar topics.

Publications

  25 Mar 2020
Together with Adam Verhoeven-Mrosek from the company Vattenfall Europe Windkraft GmbH we submitted a paper about the uncertainty quantification of offshore wind farms.


  10 Jan 2020
Our paper about robust aiming strategies was accepted by the Journal for Renewable Energy.

Conferences

  25 Mar 2020
We have two contributions for the SolarPaces Conference in Albuquerque, September 29 - October 2, 2020.


  3 July 2017
We organized a Solar Workshop on July 3, 2017 in Aachen.

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Coming soon

WindFlower

Simulation of offshore wind farms and turbine layout optimization.

  • Techno-economic simulation considering time-dependent tariffs and cabling costs.
  • Wind turbine layout optimization using multi-step optimization with patterns, genetic algorithms and local search, with dynamic computation of optimal cabling costs.
  • Wind farm optimal cabling using exact optimization with automatic selection of best cables.

SunFlower

Simulation of central receiver systems and heliostat field layout optimization.

SunFlower
  • Techno-economic simulation considering thermal receiver, storage, time-dependent tariffs, different heliostat types, three different receiver types, and GPU acceleration.
  • Heliostat field layout optimization using multi-step optimization with patterns, genetic algorithms and local search.
  • Storage optimization for optimal storage capacity, optimal CSP field size, and optional optimal photovoltaic field size (used with additional immersion heater).
  • Fast aiming strategy with exact optimization, accelerated with heuristic constraints.

SmartCity

Simulation of future scenarios to cover the energy demand of cities with renewable energies.

Smart City
  • Optimal renewable energy supply of cities using exact optimization considering electricity demand curves and future demand on electric vehicles.
  • Real-time weather visualization showing wind speed, wind direction und solar irradiation.