Analysis of cascade vapor compression refrigeration system using nanorefrigerants: Energy, exergy, and environmental (3E)

Yilmaz, Metin; Cimsit, Canan; Keven, Arzu; Karaali, Rabi

doi:10.1016/j.csite.2024.104373

Case Studies in Thermal Engineering

2024

DOI: 10.1016/j.csite.2024.104373

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Analysis of cascade vapor compression refrigeration system using nanorefrigerants: Energy, exergy, and environmental (3E)

Metin Yilmaz,

Canan Cimsit,

Arzu Keven

et al.

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Intelligence modeling of the flow boiling heat transfer of nanorefrigerant for integrated energy system

Zhang,

Li,

et al. 2024

Front. Energy Res.

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To promote the application of nanorefrigerant in Organic Rankine Cycle and Integrated Energy System a reliable model with simple structure and favorable accuracy for predicting the flow boiling heat transfer coefficient (HTC) of nanorefrigerant is essential. In this work, four intelligence models—the radial basis function (RBF), multilayer perceptron (MLP), least squares support vector machine (LSSVM), and adaptive neuro fuzzy inference system (ANFIS)—were developed to predict the flow boiling heat transfer coefficient using nanorefrigerants, based on 765 experimental samples. The performances of these artificial intelligence models were comprehensively evaluated through accuracy analysis, variation trend analysis, and sensitivity analysis. Results indicated that the comprehensive performance of the RBF model was superior than those of other intelligence models and the existing empirical models. The RBF model accurately captured the variation trend of the output as the input variables were varied. Meanwhile, the impact degrees of all input variables in decreasing order were nanoparticle concentration (φ), mass flux (G), thermal conductivity of nanoparticle (kp), and vapor quality (x).

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Intelligence modeling of the flow boiling heat transfer of nanorefrigerant for integrated energy system

Zhang,

Li,

et al. 2024

Front. Energy Res.

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Analysis of cascade vapor compression refrigeration system using nanorefrigerants: Energy, exergy, and environmental (3E)

Cited by 1 publication

References 24 publications

Intelligence modeling of the flow boiling heat transfer of nanorefrigerant for integrated energy system

Intelligence modeling of the flow boiling heat transfer of nanorefrigerant for integrated energy system

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