Review of application of AI techniques to Solar Tower Systems

K Milidonis, MJ Blanco, V Grigoriev, CF Panagiotou… - Solar Energy, 2021 - Elsevier
Artificial Intelligence (AI) is increasingly playing a significant role in the design and
optimization of renewable energy systems. Many AI approaches and technologies are …

Predictive modelling for solar power-driven hybrid desalination system using artificial neural network regression with Adam optimization

H Salem, AE Kabeel, EMS El-Said, OM Elzeki - Desalination, 2022 - Elsevier
Today artificial intelligence is a major utility technology that can help industry and research
in many fields, including solar thermal energy for water desalination purposes. Hence, the …

ORC fluids selection for a bottoming binary geothermal power plant integrated with a CSP plant

TE Boukelia, O Arslan, S Djimli, Y Kabar - Energy, 2023 - Elsevier
Hybridization of geothermal power plants with concentrating solar power systems is an
attractive solution to enhance the dispatch capacity of thermal power plants. Hence, the …

Impact of cooling tower technology on performance and cost-effectiveness of CSP plants

S El Marazgioui, A El Fadar - Energy Conversion and Management, 2022 - Elsevier
Cooling towers are indispensable components for heat rejection in concentrated solar
power (CSP) plants. However, the overall performance of CSP plants relies heavily on the …

Use of artificial neural network to evaluate cadmium contamination in farmland soils in a karst area with naturally high background values

C Li, C Zhang, T Yu, X Liu, Y Yang, Q Hou, Z Yang… - Environmental …, 2022 - Elsevier
In recent years, the naturally high background value region of Cd derived from the
weathering of carbonate has received wide attention. Due to the significant difference in soil …

Application of BP-ANN model in evaluation of soil quality in the arid area, northwest China

W Shao, Q Guan, Z Tan, H Luo, H Li, Y Sun… - Soil and Tillage …, 2021 - Elsevier
Soil quality evaluation is an effective way to improve ecological environment quality of soil
and to perfect management system as well as keep its productivity of the soil sustainable …

Improvement of the classical artificial neural network simulation model of the parabolic trough solar collector outlet temperature and thermal efficiency using the …

W Ajbar, JE Solís-Pérez, E Viera-Martin… - … Energy, Grids and …, 2023 - Elsevier
The outlet temperature and the thermal efficiency predictions of the PTSC are essential
parameters in the solar thermal power system. Therefore, it is crucial to have a prediction …

Effect of chloride impurity on corrosion kinetics of stainless steels in molten solar salt for CSP application: experiments and modeling

H Li, X Yang, X Yin, X Wang, J Tang, J Gong - Oxidation of Metals, 2021 - Springer
Abstract Solar salt (60 wt% NaNO 3+ 40 wt% KNO 3) is widely used in the storage system of
concentrated solar power plant. However, the chloride within the molten solar salt can affect …

CSP performance and yield analysis including soiling measurements for Morocco and Portugal

AA Merrouni, R Conceição, A Mouaky, HG Silva… - Renewable Energy, 2020 - Elsevier
The objective of this research work is to understand the impact of soiling on the thermal
performance, electrical production and Levelized Cost of Electricity of possible …

Probability of cultivating Se-rich maize in Se-poor farmland based on intensive field sampling and artificial neural network modelling

X Ma, Z Yang, T Yu, DX Guan - Chemosphere, 2022 - Elsevier
Selenium (Se) is a necessary micronutrient for humans, and its supplementation from crop
grains is important to address the ubiquitous Se deficiency in people worldwide. Se uptake …