| 1 |
Molten Salt Storage for Power Generation
Bauer T, Odenthal C, Bonk A
Chemie Ingenieur Technik, 93(4), 534, 2021 |
| 2 |
A comprehensive study of pin fins cooling channel for a single-cell concentration photovoltaic system under ultra-high concentration ratios
Maatallah TS
International Journal of Energy Research, 45(3), 4613, 2021 |
| 3 |
Integration of transparent insulation shells in linear solar receivers for enhanced energy and exergy performances
Amein H, Kassem MA, Ali S, Hassan MA
Renewable Energy, 171, 344, 2021 |
| 4 |
Techno-economic analysis of a foil-based solar collector driven electricity and fresh water generation system
Desai NB, Pranov H, Haglind F
Renewable Energy, 165, 642, 2021 |
| 5 |
Application design and assessment of a novel small-decentralized solar distillation device based on energy, exergy, exergoeconomic, and enviroeconomic parameters
Fang SB, Mu L, Tu WR
Renewable Energy, 164, 1350, 2021 |
| 6 |
Improved ECMWF forecasts of direct normal irradiance: A tool for better operational strategies in concentrating solar power plants
Lopes FM, Conceicao R, Silva HG, Salgado R, Collares-Pereira M
Renewable Energy, 163, 755, 2021 |
| 7 |
A theoretical heat transfer analysis of different indirectly-irradiated receiver designs for high-temperature concentrating solar power applications
Wang WJ, Fan LW, Laumert B
Renewable Energy, 163, 1983, 2021 |
| 8 |
Post subsidy conditions: Evaluating the techno-economic performance of concentrating solar power in Spain
Parent PA, Mirzania P, Balta-Ozkan N, King P
Solar Energy, 218, 571, 2021 |
| 9 |
High accuracy data-driven heliostat calibration and state prediction with pretrained deep neural networks
Pargmann M, Quinto DM, Schwarzbozl P, Pitz-Paal R
Solar Energy, 218, 48, 2021 |
| 10 |
Positioning and focusing of light sources in light concentrating systems using convolutional neural network modelling
Haseler D, Ali AM, Kakosimos KE
Solar Energy, 218, 445, 2021 |
