Economic-environmental evaluation and multi-objective optimization of supercritical CO2 based-central tower concentrated solar power system with thermal storage

Y Liang, J Chen, Z Yang, J Chen, X Luo… - Energy Conversion and …, 2021 - Elsevier
We address the optimal design of central tower-concentrated solar power (CSP) system
combined with supercritical CO 2 Brayton cycle and thermal storage under economic and …

[HTML][HTML] Reinforcement learning for heliostat aiming: Improving the performance of Solar Tower plants

JA Carballo, J Bonilla, NC Cruz, J Fernández-Reche… - Applied Energy, 2025 - Elsevier
Solar Tower (ST) systems use heliostats to concentrate solar radiation onto a tower-mounted
receiver. Optimizing the aiming strategy for these heliostats over the receiver remains a …

Aiming factor to flatten the flux distribution on cylindrical receivers

A Sánchez-González, MR Rodríguez-Sánchez… - Energy, 2018 - Elsevier
High incident flux gradients and hot spots lead to extreme thermal stresses that may damage
and reduce the lifetime of central receivers. An aiming strategy based on a single parameter …

Nowcasting, predictive control, and feedback control for temperature regulation in a novel hybrid solar-electric reactor for continuous solar-thermal chemical …

SC Rowe, I Hischier, AW Palumbo, BA Chubukov… - Solar Energy, 2018 - Elsevier
A novel 15 kW reactor for the hybridization of concentrated solar and conventional electric
heat was fabricated for renewable and continuous chemical processing at temperatures up …

Dynamic aiming strategy for central receiver systems

N Speetzen, P Richter - Renewable Energy, 2021 - Elsevier
Aiming strategies in central receiver systems search for an optimal assignment between
heliostats and aim point on the receiver surface. In this work, we develop an accelerated …

Validation of a closed-loop aim point management system at the Jülich solar tower

L Oberkirsch, D Zanger, B Hoffschmidt - Solar Energy, 2023 - Elsevier
Due to modeling errors and disturbances caused by clouds, Solar Power Tower (SPT) plants
consider high safety margins during operation leading to a significant loss of revenues. This …

GPU-based aim point optimization for solar tower power plants

L Oberkirsch, DM Quinto, P Schwarzbözl… - Solar Energy, 2021 - Elsevier
In solar tower power plants, aim point optimization is suitable to find aim point distributions
resulting in intercept powers close to the theoretical maximum. However, the application in …

Real-time heliostat field aiming strategy optimization based on reinforcement learning

Z Zeng, D Ni, G Xiao - Applied Energy, 2022 - Elsevier
The heliostat field aiming strategy optimization is a crucial topic in solar power tower (SPT)
plants. The optimal aiming strategy attempts to maximize the thermal power output while …

MDBA: An accurate and efficient method for aiming heliostats

S Wang, CA Asselineau, WR Logie, J Pye, J Coventry - Solar Energy, 2021 - Elsevier
In a solar power tower plant, the role of the heliostat aiming strategy is to control the radiative
flux distribution at the receiver surface to avoid thermally induced damage, while minimising …

Rapid design of a heliostat field by analytic geometry methods and evaluation of maximum optical efficiency map

J Wang, L Duan, Y Yang, L Yang - Solar Energy, 2019 - Elsevier
Many procedures have been developed to design and optimize a heliostat field, however it
is a rather challenging work partly because many influencing factors of a heliostat optical …