Results 191 to 200 of about 19,472 (265)

Inter‐Material Transfer Learning for Accelerated Nanofluid Heat Transfer Prediction: A Machine Learning Approach for Energy Systems

open access: yesEnergy Science &Engineering, EarlyView.
This study presents an inter‐material transfer learning framework for nanofluid heat transfer prediction in energy systems. By leveraging knowledge from Al2O3‐water data, the model accurately predicts hybrid Al2O3‐TiO2 nanofluid performance with only 20 simulations, achieving R2 = 0.985 and reducing computational requirements by 78. ABSTRACT This paper
Soumaya Hadj Salah   +2 more
wiley   +1 more source

Thermal Analysis of Cells Behavior in Modular Lithium Iron Phosphate Battery System in Urban Electric Bus Fleet

open access: yesEnergy Science &Engineering, EarlyView.
Real‐world analysis of lithium iron phosphate battery systems in electric buses shows minimal short‐term temperature impact on energy but significant long‐term degradation at higher temperatures. Efficient cooling and thermal uniformity are critical to prevent accelerated aging, maintain performance, and ensure safety under dynamic operating conditions.
Wiktoria Kaczmarek   +4 more
wiley   +1 more source

Effects of Camber of S‐Series Airfoils on Aerodynamic Performance, Entropy Generation Rate, Irreversibility, and Second Law Efficiency of Horizontal Axis Wind Turbines

open access: yesEnergy Science &Engineering, EarlyView.
Due to the depletion of fossil fuels, enhancing wind turbine efficiency is crucial. Utilizing airfoils with high lift‐to‐drag ratios significantly improves power generation by optimizing aerodynamic parameters. Furthermore, entropy generation analysis serves as an effective method for design optimization by minimizing energy losses and exergy ...
Mitra Yadegari
wiley   +1 more source

Thermo-hydraulic performance analysis of a horizontal slinky-type geothermal heat exchanger under turbulent flow vonditions. [PDF]

open access: yesSci Rep
Hsu CY   +9 more
europepmc   +1 more source

Electronic Nose‐Based Methanol Feedback Precision Control Strategy for High‐Yield Alkaline Phosphatase Fermentation by Hansenula polymorpha

open access: yesFood Bioengineering, EarlyView.
Establishment of Closed‐Loop Methanol Feedback Precision Control System for Alkaline Phosphatase by Hansenula polymorpha. The electronic nose screened model for methanol detection as the core technical logic of online gas quantification. Methanol feedback control strategy for greatly elevating alkaline phosphatase production.
Jian‐Guang Liang   +6 more
wiley   +1 more source

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