Economic assessment of concentrated solar power technologies: A review

AW Dowling, T Zheng, VM Zavala - Renewable and Sustainable Energy …, 2017 - Elsevier
This paper surveys economic assessments of concentrated solar power (CSP) technologies
and finds two dominant assessment methods. A majority of studies reported in the literature …

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 …

Management of operation and maintenance practices in photovoltaic plants: Key performance indicators

G Rediske, L Michels… - … Journal of Energy …, 2022 - Wiley Online Library
The number of large photovoltaic (PV) power plants is increasing around the world. Energy
sale usually follows demand contracts with clearly defined obligations, subject to nonsupply …

[HTML][HTML] Scenario-based model predictive control for energy scheduling in a parabolic trough concentrating solar plant with thermal storage

P Velarde, AJ Gallego, C Bordons, EF Camacho - Renewable Energy, 2023 - Elsevier
Optimal energy planning is a key topic in thermal solar trough plants. Obtaining a profitable
energy schedule is difficult due to the stochastic nature of solar irradiance and electricity …

[HTML][HTML] Clustering-based model predictive control of solar parabolic trough plants

P Chanfreut, JM Maestre, AJ Gallego, AM Annaswamy… - Renewable Energy, 2023 - Elsevier
This paper presents a clustering-based model predictive controller for optimizing the heat
transfer fluid (HTF) flow rates circulating through every loop in solar parabolic trough plants …

A light clustering model predictive control approach to maximize thermal power in solar parabolic-trough plants

E Masero, JRD Frejo, JM Maestre, EF Camacho - Solar Energy, 2021 - Elsevier
This article shows how coalitional model predictive control (MPC) can be used to maximize
thermal power of large-scale solar parabolic-trough plants. This strategy dynamically …

[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 …

Determination of design parameters to minimize LCOE, for a 1 MWe CSP plant in different sites

F El Hamdani, S Vaudreuil, S Abderafi, T Bounahmidi - Renewable Energy, 2021 - Elsevier
The levelized cost of energy (LCOE) from a parabolic trough collector power plant is
influenced directly by its design parameters. In the present paper, the impact of five design …

Centralized and distributed Model Predictive Control for the maximization of the thermal power of solar parabolic-trough plants

JRD Frejo, EF Camacho - Solar Energy, 2020 - Elsevier
This paper proposes a new centralized Model Predictive Control (MPC) algorithm for the
maximization of the thermal power obtained with a parabolic-trough collector field. The …

A novel multi-objective Dynamic Programming optimization method: Performance management of a solar thermal power plant as a case study

J Mahmoudimehr, P Sebghati - Energy, 2019 - Elsevier
Due to the intermittent nature of solar irradiance, solar power plants are usually equipped
with energy storage systems. Suitable charge and discharge management of the storage …