Renewable Energy
& Energy Efficiency

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

Master Theses

1. M. Kroeker: Planning and Site Suitability of Wind Farms (2022).  
2. J. Qu: Augmented Reality for the Visualization of Wind Farms (2022).  
3. C. von Oy: Optimal Design and Scheduling of a Smart City Under Uncertain Renewable Energy Generation (2021).  
4. L. Aldenhoff: Raytracer for Central Receiver Systems using GPU (2021).  
5. V. Panichkin: Auralization and Visualization of Wind Farms using Augmented Reality (2021).  
6. M. Thelen: Quantification of Uncertainties and Determination of Sensitivities for Biogeochemical Ocean Simulations (2021).  
7. S. Bender: Resource Optimized Scheduling of Scientific Simulations on CPU and GPU Computing Platforms (2020).  
8. L. Vollmann: Evolutionary Optimization of Wind Farm and Heliostat Layouts (2020).  
9. N. von Stein: Nowcasting of Cloud Shadows using Neural Networks (2020).  
10. S. Coumbassa: Optimal Storage Strategy for Solar Tower Power Plants (2019).  
11. M. Maghnie: Simulation and Layout Optimization of Offshore Wind Farms (2019).  
12. A. Sachtje: Predictive Control of the flow in Networks of Tubes in Solar Thermal Power Plants (2019).  
13. L. Franke: Simulation and Optimization of Solar Tower Power Plants (2018).  
14. L. Netz: Analysis on Discretization of Gene Parameters in Evolutionary Algorithms (2017).  
15. G. Heiming: Development of a Techno-Economic Mdel for Solar Tower Power Plants (2017).  
16. P. Luckner: Optical and Electrical Simulation of Solar Cells (2017).  
17. M. K. Lal: Solar Tower Heliostat Field Layout Optimization - A Black-Box Optimizer, Master Thesis, Department of Mathematics, RWTH Aachen University & IIT Madras (2017).  
18. J. Wolters: Uncertainty Quantification Wind Farm Models (2016).  
19. L. Gerdes: Generation of Probabilistic Models for Solar Thermal Power Plants (2016).  
20. G. Jennessen: Optimierung eines Heliostatenfeldes unter Einsatz eines genetischen Algorithmus (2013).  

Bachelor Theses

1. M. Krebber: Modelling the Heat Demand of Buildings (2023).    
2. V. Geuenich: Occlusion for Augmented Reality Windfarms in Great Distance (2023).    
3. N. Feiereisen: Energetic Evaluation of Buildings (2023).    
4. P. Chrestin: Augmented Reality for the Visualization of Wind Farms with Obstacle Detection (2022).    
5. M. Alotbah: Optimal Design of Photovoltaic Systems (2022).    
6. A. Herzog: Optimal Layout of Wind Farms with Different Hub Heights (2021).    
7. M. Elgayar: Interactive Visualization of Shadow Cast for Wind Farms (2021).    
8. A. Timanov: Visualization of the Noise Propagation in Wind Farms (2021).  
9. L. Fischer: Multi-step layout optimization of heliostat fields in central receiver systems (2021).  
10. J. Germann: Optimal climate control in buildings using linear programming (2020).  
11. S. Klemp: Classification and prediction of thermodynamic value ranges based on geometrical building data (2020).  
12. F. Lockemann: Optimal control strategy for a virtual renewable power plant (2020).  
13. Z. Gong: Optimal control of volume flow in parabolic trough solar thermal power plants (2020).  
14. Y. Lo: Multi-Step Layout-Optimization of Turbines in Offshore Wind Farms (2020).  
15. N. Speetzen: Accelerated Aiming Strategy for Central Receiver Systems with Integer Linear Optimization Using Heuristics (2020).  
16. F. Hövelmann: Advanced Raytracer for Solar Tower Power Plants (2019).  
17. K. Yaneva: Optimized Control for Climate in Buildings Using Artificial Intelligence (2019).  
18. C. Schmidt Muniz: GPU Raytracer for Solar Tower Power Plants, Karlsruhe Institute of Technology (2019).  
19. J. Düstersiek: Uncertainty Quantification and Multi-Objective Optimization of Wind Farms (2019).  
20. M. Cherek: Control of the Temperature in a Network of Tubes of Solar Thermal Power Plants (2018).  
21. F. Kepp: Robust Optimization of Aiming Strategies of Heliostats in Solar Tower Power Plants (2018).  
22. T. von Platen: Optimal Cable Routing of Heliostats in Solar Tower Power Plants Using Integer Linear Programming (2018).  
23. G. Wicke: Optimization of Aiming Strategies for Heliostats in Solar-Thermal Power Plants (2018).  
24. F. Ossenbrink: Shortest Cable Routing of Heliostats in Solar Tower Power Plants (2017).  
25. R. Cakar: Uncertainty quantification of wind farm models (2017).  
26. J. Tinnes: Acceleration of Ray-Tracer Models for the Simulation of Solar Tower Power Plants with Real Weather Data (2017).  
27. P. Cremerius: Optimal Cable Layout for Offshore Wind Farms by Integer Linear Optimization (2016).  
28. J. Lust: Shortest Cable Routing in Offshore Wind Farms (2016).  
29. 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).
2. J. Beckmann, J. Beerwerth, K. Liao, L. Sander: Cloud Nowcasting for Solar Thermal Power Plants (2019).
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).
2. J. Hahnfeld, R. Klingenberg, J. Neuhaus, C. von Oy, P. Querl: Simulation and Optimization of Renewable Energy (2020).
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).

Patents

1. Patent: DE 10 2022 117 763.7: Steuerung einer Versorgungstechnik eines Gebäudes mittels eines neuronalen Netzwerks, July 15, 2022.
2. Patent: EP 414 5243 A1: Verfahren und System zur Steuerung von Lasten in einem Gebäude, September 1, 2021.

Journal Publications

1. P. Richter, J. Wolters, M. Frank: Uncertainty Quantification for the Planning of Offshore Wind Farms Using Monte Carlo and Sparse Grid, Energy Sources, Part B: Economics, Planning, and Policy (2021).  
2. S. Klemp, A. Abida, P. Richter: Method and Analysis of Predicting Building Material U-Value Ranges Through Geometrical Pattern Clustering, Journal of Building Engineering (2021).  
3. N. Speetzen, P. Richter: Dynamic Aiming Strategy for Central Receiver Systems, Journal of Renewable Energy (2021).  
4. P. Richter, T. Trimborn, L. Aldenhoff: Predictive Storage Strategy for Optimal Design of Hybrid CSP-PV Plants With Immersion Heater, Journal of Solar Energy (2021).  
5. P. Richter, J. Tinnes, L. Aldenhoff: Accurate Approximation Method for the Annual Simulation of Solar Central Receiver Systems Using Celestial Coordinate System, Journal of Solar Energy (2020).  
6. P. Richter: Approximate Godunov-Suliciu Scheme for the Seven-Equations Two-Phase Flow Model, Journal of Computational Physics (2020).  [Preprint]
7. 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.  
8. 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.  
9. 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. L. Aldenhoff, P. Richter: Accelerating Raytracers for Central Receiver Systems using a GPU, In AIP Conference Proceedings. AIP Publishing (2021). [Accepted]  
2. P. Richter, F. Hövelmann: Computationally Fast Analytical Ray-Tracer for Central Receiver Systems, In AIP Conference Proceedings. AIP Publishing (2020). [Accepted]  
3. P. Richter, N. Speetzen: Accelerated Aiming Strategy in Central Receiver Systems Using Integer Linear Programming, In AIP Conference Proceedings. AIP Publishing (2020). [Accepted]  
4. 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).  
5. 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).  
6. 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).  
7. 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).  
8. 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).  
9. 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).  
10. 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.  
11. 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.  
12. 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).