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Dive into the research topics where Andrea Pucciarelli is active.

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Featured researches published by Andrea Pucciarelli.


Journal of Nuclear Engineering and Radiation Science | 2017

Summary on the Results of Two Computational Fluid Dynamic Benchmarks of Tube and Different Channel Geometries

Attila Kiss; Andrey Churkin; Darwan S. Pilkhwal; Abhijeet M. Vaidya; Walter Ambrosini; Andrea Pucciarelli; Krishna Podila; Yanfei Rao; Laurence Leung; Chen Yuzhou; Mark Anderson; Meng Zhao

Two computational fluid dynamic (CFD) benchmarks have been performed to assess the prediction accuracy and sensitivity of CFD codes for heat transfer in different geometries. The first benchmark focused on heat transfer to water in a tube (first benchmark), while the second benchmark covered heat transfer to water in two different channel geometries (second benchmark) at supercritical pressures. In the first round with the experimental data unknown to the participants (i.e., blind calculations), CFD calculations were conducted with initial boundary conditions and simpler CFD models. After assessment against measurements, the calculations were repeated with the refined boundary conditions and material properties in the follow-up calculation phase. Overall, the CFD codes seem to be able to capture the general trend of heat transfer in the tube and the annular channel but further improvements are required in order to enhance the prediction accuracy. Finally, sensitivity analyses on the numerical mesh and the boundary conditions were performed. It was found that the prediction accuracy has not been improved with the introduction of finer meshes and the effect of mass flux on the result is the strongest among various investigated boundary conditions. [DOI: 10.1115/1.4038162]


Journal of Nuclear Engineering and Radiation Science | 2015

Computational Fluid Dynamics Prediction of Heat Transfer in Rod Bundles With Water at Supercritical Pressure

Andrea Pucciarelli; Walter Ambrosini

The paper further explores the application of computational fluid dynamics (CFD) codes for the study of the heat-transfer phenomena involved when working with fluids at supercritical pressure; bundle analysis is considered here in particular. As for previous simulations performed by the authors considering heat-transfer deterioration inside heated tubes, this application points out the limited capabilities of the most commonly used Reynolds-averaged Navier–Stokes models when approaching the heat-transfer deterioration phenomenon. It must be noted that some of the considered experimental conditions, which are very close to the pseudocritical temperature, represent at the same time one of the most challenging situations for the CFD codes and a very common situation if supercritical water-cooled reactors (SCWRs) will be developed. Improvements of the currently available turbulence models are then needed. The paper analyzes the most likely causes of the observed insufficient quality of the obtained predictions. In addition to comparing the measured and calculated wall temperature trends, the effect of the presence of the spacer grids on the turbulent flow is considered. Spacers are in fact very important to assure the structural stability of fuel, though they also affect the flow, generally improving the turbulence conditions in their neighborhood and slightly impairing it in the downstream region. A comparison between predictions performed including or not including the spacers is also performed.


Nuclear Engineering and Design | 2015

Results of 4-equation turbulence models in the prediction of heat transfer to supercritical pressure fluids

Andrea Pucciarelli; Irene Borroni; Medhat Sharabi; Walter Ambrosini


Annals of Nuclear Energy | 2017

Improvements in the prediction of heat transfer to supercritical pressure fluids by the use of algebraic heat flux models

Andrea Pucciarelli; Walter Ambrosini


Nuclear Engineering and Design | 2016

Prediction of heat transfer to supercritical fluids by the use of Algebraic Heat Flux Models

Andrea Pucciarelli; Medhat Sharabi; Walter Ambrosini


Journal of Nuclear Engineering and Radiation Science | 2016

A Blind, Numerical Benchmark Study on Supercritical Water Heat Transfer Experiments in a 7-Rod Bundle

M. Rohde; J. W. R. Peeters; Andrea Pucciarelli; Attila Kiss; Yanfei Rao; E. N. Onder; P. Muehlbauer; A. Batta; M. Hartig; Vijay Chatoorgoon; Roman Thiele; Stavros Tavoularis; D.R. Novog; D. Mcclure; Malwina Gradecka; K. Takase


Annals of Nuclear Energy | 2016

Fluid-to-fluid scaling of heat transfer phenomena with supercritical pressure fluids: Results from RANS analyses

Andrea Pucciarelli; Walter Ambrosini


Nuclear Engineering and Design | 2015

A methodology for including wall roughness effects in k-ɛ low-Reynolds turbulence models

Walter Ambrosini; Andrea Pucciarelli; Irene Borroni


Annals of Nuclear Energy | 2018

On the effect of conjugate heat transfer on turbulence in supercritical fluids: Results from a LES application

Andrea Pucciarelli; Walter Ambrosini


International Journal of Heat and Mass Transfer | 2018

Use of AHFM for simulating heat transfer to supercritical fluids: Application to carbon dioxide data

Andrea Pucciarelli; Walter Ambrosini

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Attila Kiss

Budapest University of Technology and Economics

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Yanfei Rao

Chalk River Laboratories

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E. N. Onder

Chalk River Laboratories

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J. W. R. Peeters

Delft University of Technology

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