Risk-constrained stochastic optimization of a concentrating solar power plant

D Yu, AG Ebadi, K Jermsittiparsert… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
A central concentrating solar power (CSP) plant is increasing in the power systems as novel
technology in the solar energy sources. Also, solar thermal storage unit is combined with the …

[HTML][HTML] Model predictive control based on deep learning for solar parabolic-trough plants

S Ruiz-Moreno, JRD Frejo, EF Camacho - Renewable Energy, 2021 - Elsevier
In solar parabolic-trough plants, the use of Model Predictive Control (MPC) increases the
output thermal power. However, MPC has the disadvantage of a high computational …

[HTML][HTML] Fault detection in PV tracking systems using an image processing algorithm based on PCA

TG Amaral, VF Pires, AJ Pires - Energies, 2021 - mdpi.com
Photovoltaic power plants nowadays play an important role in the context of energy
generation based on renewable sources. With the purpose of obtaining maximum efficiency …

Model predictive control in solar trough plants: A review

EF Camacho, AJ Gallego - IFAC-PapersOnLine, 2015 - Elsevier
The importance of the use of renewable energy sources has experienced a great impulse
since the beginning of the 80s. In particular, solar energy is the most abundant source of …

A MPC approach for optimal generation scheduling in CSP plants

MJ Vasallo, JM Bravo - Applied Energy, 2016 - Elsevier
Thermal energy storage (TES) systems allow concentrated solar power (CSP) producers to
participate in a day-ahead market. Therefore, the optimal power scheduling problem can be …

Process intensification of solar thermal power using hybridization, flexible heat integration, and real-time optimization

K Rashid, SM Safdarnejad, KM Powell - Chemical Engineering and …, 2019 - Elsevier
This work demonstrates process intensification of a solar thermal and natural gas hybrid
power plant. Process intensification is achieved in three novel ways: 1-By synergistically …

New procedure in solar system dynamic simulation, thermodynamic analysis, and multi-objective optimization of a post-combustion carbon dioxide capture coal-fired …

E Mofidipour, M Babaelahi - Energy Conversion and Management, 2020 - Elsevier
One of the most vital concerns in evaluating power generation systems is the
comprehensive review of all useful indexes. In the vast range of researches regarding …

Transient thermal prediction methodology for parabolic trough solar collector tube using artificial neural network

SY Heng, Y Asako, T Suwa, K Nagasaka - Renewable energy, 2019 - Elsevier
The solar radiation fluctuation occurs at practically anywhere on the earth. When a solar
thermal power generation system is designed for the areas with considerable solar radiation …

Optimal model-free adaptive control based on reinforcement Q-Learning for solar thermal collector fields

IML Pataro, R Cunha, JD Gil, JL Guzmán… - … Applications of Artificial …, 2023 - Elsevier
This study addresses the challenge and related difficulties of controlling solar collector fields
(SCFs) using high-complex models by proposing an adaptive optimal model-free controller …

Analysis and improvement of solar flux distribution inside a cavity receiver based on multi-focal points of heliostat field

Q Yu, Z Wang, E Xu - Applied energy, 2014 - Elsevier
The strong flux variations distributed on the surfaces of receiver during its service life can
intensify material aging and thus deteriorate the thermal performance of material. Generally …