| Closure conditions for non-equilibrium multi-component models S Müller, M Hantke, P Richter Continuum Mechanics and Thermodynamics 28, 1157-1189, 2016 | 55 | 2016 |
| Robust optimal aiming strategies in central receiver systems S Kuhnke, P Richter, F Kepp, J Cumpston, AMCA Koster, C Büsing Renewable energy 152, 198-207, 2020 | 17 | 2020 |
| Field-design optimization with triangular heliostat pods CA Domínguez-Bravo, SJ Bode, G Heiming, P Richter, E Carrizosa, ... AIP Conference Proceedings 1734 (1), 2016 | 16 | 2016 |
| Optimization of robust aiming strategies in solar tower power plants P Richter, F Kepp, C Büsing, S Kuhnke AIP Conference Proceedings 2126 (1), 2019 | 15 | 2019 |
| Optimisation of concentrating solar thermal power plants with neural networks P Richter, E Ábrahám, G Morin International Conference on Adaptive and Natural Computing Algorithms, 190-199, 2011 | 15 | 2011 |
| Dynamic aiming strategy for central receiver systems N Speetzen, P Richter Renewable Energy 180, 55-67, 2021 | 13 | 2021 |
| Predictive storage strategy for optimal design of hybrid CSP-PV plants with immersion heater P Richter, T Trimborn, L Aldenhoff Solar Energy 218, 237-250, 2021 | 13 | 2021 |
| Simulation and optimization of solar thermal power plants P Richter RWTH Aachen University, 2017 | 13 | 2017 |
| SunFlower: A new solar tower simulation method for use in field layout optimization P Richter, G Heiming, N Lukas, M Frank AIP Conference Proceedings 2033 (1), 2018 | 9 | 2018 |
| HVAC control in buildings using neural network A Abida, P Richter Journal of Building Engineering 65, 105558, 2023 | 8 | 2023 |
| Wie funktioniert eigentlich GPS?–ein computergestützter Modellierungsworkshop M Frank, P Richter, C Roeckerath, S Schönbrodt Digitale Werkzeuge, Simulationen und mathematisches Modellieren: Didaktische …, 2018 | 8 | 2018 |
| Multi-objective optimization of solar tower heliostat fields P Richter, M Frank, E Abrahám Progress in Industrial Mathematics at ECMI 2014 18, 771-778, 2016 | 8 | 2016 |
| Heliostat Field Layout Optimization with Evolutionary Algorithms. P Richter, D Laukamp, L Gerdes, M Frank, E Abrahám GCAI, 240-252, 2016 | 7 | 2016 |
| New method and software for multivariable technoeconomic design optimization of CSP plants G Morin, P Richter, P Nitz | 7 | 2010 |
| Accurate interpolation methods for the annual simulation of solar central receiver systems using celestial coordinate system P Richter, J Tinnes, L Aldenhoff Solar Energy 213, 328-338, 2021 | 6 | 2021 |
| Uncertainty quantification of offshore wind farms using Monte Carlo and sparse grid P Richter, J Wolters, M Frank Energy Sources, Part B: Economics, Planning, and Policy 17 (1), 2000520, 2022 | 5 | 2022 |
| Computationally fast analytical ray-tracer for central receiver systems P Richter, F Hövelmann AIP Conference Proceedings 2445 (1), 2022 | 4 | 2022 |
| Accelerated aiming strategy in central receiver systems using integer linear programming P Richter, N Speetzen AIP Conference Proceedings 2445 (1), 2022 | 3 | 2022 |
| The tikzposter class P Richter, E Botoeva, R Barnard, D Surmann | 3 | 2014 |
| Accelerating ray-tracers for central receiver systems using a GPU L Aldenhoff, P Richter AIP Conference Proceedings 2815 (1), 2023 | 2 | 2023 |
Martin FrankComputational Science & Mathematical Methods, Steinbuch Center for Computing, Karlsruhe Institute of TechnologyVerified email at kit.edu
