Thermal efficiency enhancement of parabolic trough collectors: a review
The parabolic trough collectors are the most widely used linear concentrators for the
thermodynamic conversion of solar energy, especially in industrial and domestic fields …
thermodynamic conversion of solar energy, especially in industrial and domestic fields …
Application of novel framework based on ensemble boosted regression trees and Gaussian process regression in modelling thermal performance of small-scale …
This work examined the thermal performance of a small-scale solar organic Rankine cycle
system, in which a flat plate solar collector was employed to supply heat to the organic …
system, in which a flat plate solar collector was employed to supply heat to the organic …
A review of recent developments in the application of machine learning in solar thermal collector modelling
M Vakili, SA Salehi - Environmental Science and Pollution Research, 2023 - Springer
Over the past few decades, the popularity of solar thermal collectors has increased
dramatically because of many significant advantages like being a free, natural …
dramatically because of many significant advantages like being a free, natural …
Using Bayesian optimization and ensemble boosted regression trees for optimizing thermal performance of solar flat plate collector under thermosyphon condition …
The thermal performance of a flat plate solar collector operating under thermosyphon
conditions using MWCNT+ Fe 3 O 4/Water hybrid nanofluids was investigated in this study …
conditions using MWCNT+ Fe 3 O 4/Water hybrid nanofluids was investigated in this study …
Revealing prediction of perched cum off-centered wick solar still performance using network based on optimizer algorithm
A sincere effort has been made to engineer a perched cum off-centered wick solar still
(PCWSS) in the present work. The daily average efficiency with hourly prediction distillate …
(PCWSS) in the present work. The daily average efficiency with hourly prediction distillate …
Power plant energy predictions based on thermal factors using ridge and support vector regressor algorithms
This work aims to model the combined cycle power plant (CCPP) using different algorithms.
The algorithms used are Ridge, Linear regressor (LR), and upport vector regressor (SVR) …
The algorithms used are Ridge, Linear regressor (LR), and upport vector regressor (SVR) …
Data driven insights for parabolic trough solar collectors: Artificial intelligence-based energy and exergy performance analysis
Artificial intelligence (AI) algorithms can potentially contribute to optimizing energy and
exergy outputs in renewable resources to increase efficiencies and reduce environmental …
exergy outputs in renewable resources to increase efficiencies and reduce environmental …
A feedforward-feedback control strategy based on artificial neural network for solar receivers
In a solar power tower plant, the stability of the receiver's outlet temperature is required for
high-efficiency and safe operation. However, the dramatic variation of solar energy caused …
high-efficiency and safe operation. However, the dramatic variation of solar energy caused …
Energy and exergy analyses of a parabolic trough concentrated solar power plant using molten salt during the start-up process
Daily start-up is the character of concentrated solar power (CSP) plants because of solar
energy intermittency. Thus, much energy is consumed during the start-up process of CSPs …
energy intermittency. Thus, much energy is consumed during the start-up process of CSPs …
Hybrid data-driven method for low-carbon economic energy management strategy in electricity-gas coupled energy systems based on transformer network and deep …
Because of their attractive economic and environmental benefits, integrated energy systems
(IESs), especially electricity-gas coupled energy systems (EGCESs), have received great …
(IESs), especially electricity-gas coupled energy systems (EGCESs), have received great …