Servizi per la didattica

Computational heat and mass transfer


A.A. 2021/22

Course Language


Course degree

Doctorate Research in Energetica - Torino

Course structure
Teaching Hours
Lezioni 20
Teacher Status SSD h.Les h.Ex h.Lab h.Tut Years teaching
Ferrari Alessandro Professore Associato ING-IND/08 6 0 0 0 6
Teaching assistant

SSD CFU Activities Area context
*** N/A ***    
Please refer to the English section
The course aims at introducing the main ideas associated to numerical computing for energy-related problems, where heat and mass transfer play a significant role. The different scales, from nano- to macro-, are considered. For each scale, examples of the respective models, methods and tools are provided and simple applications are presented. The ubiquitous question of the quality assurance (verification&validation) of the solution is addressed.
Please refer to the english section
Foundations of Mathematics and Physics, Fluid dynamics and Thermodynamics
Please refer to the English section
Introduction to computing. Identification of suitable model, method, tool, platform. Verification&validation of the solution. The nano-scale: fundamentals of energy transport by principal energy carriers: electron; phonon; fluid particle; photon. Phonons: molecular dynamics (MD) simulations; Kapitza resistance. Fluid particles: statistical thermodynamics; fluid dynamic continuum limit. Photons: radiative transfer equation. The main tools: GROMACS, LAMMPS. The meso-scale (Computational Fluid Dynamics, CFD): Convection/Diffusion. The theory of the conservation laws and the Navier-Stokes equations. Incompressible vs. compressible flow problems. Laminar flows and theory of instability of laminar flows. Modeling of turbulence with advanced CFD. Mesh generation. Main features of the numerical schemes. Method of the characteristics for the Euler equations and numerical treatment of shocks. The main tools: ANSYS Fluent, StarCCM+, OpenFoam. The macro-scale: System-level models. Object-oriented programming. The main tools: Modelica, Amesim, GT-POWER. Approach to multi-scale problems.
ModalitÓ mista
Mixed mode
Presentazione report scritto
Written report presentation
P.D.2-2 - Giugno
P.D.2-2 - June

© Politecnico di Torino
Corso Duca degli Abruzzi, 24 - 10129 Torino, ITALY