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Prediction and evaluation of energy and exergy efficiencies of a nanofluid-based photovoltaic-thermal system with a needle finned serpentine channel using random forest machine learning approach

Yuanlei Si, František Brumerčík, Yang Chun-sheng, Adam Głowacz, Zhenjun Ma, Patrick Siarry, Maciej Sułowicz, Munish Kumar Gupta, Zhixiong Li

2023Engineering Analysis with Boundary Elements37 citationsDOI

Topics & Concepts

ExergyNanofluidExergy efficiencyReynolds numberPhotovoltaic systemThermal efficiencyMaterials scienceThermalEfficient energy useThermal energyEnvironmental scienceProcess engineeringMechanical engineeringMechanicsThermodynamicsPhysicsElectrical engineeringEngineeringChemistryOrganic chemistryTurbulenceCombustionSolar Thermal and Photovoltaic SystemsPhotovoltaic System Optimization TechniquesNanofluid Flow and Heat Transfer
Prediction and evaluation of energy and exergy efficiencies of a nanofluid-based photovoltaic-thermal system with a needle finned serpentine channel using random forest machine learning approach | Litcius