LEARNING OUTCOMES
The teaching aims to learn energy simulation methodologies. During teaching, simulations are demonstrated using commercial or open source software.
Upon successful completion of the course the student will be able to:
• Use Computational Fluid Engineering knowledge so that he/she can use and configure software to perform simulations.
• Interpret and reflect using software, simulations of advanced energy problems of interest to mechanical engineers.
• To acquire knowledge necessary for research using energy system simulations.
General Competences
• Ability to understand software (commercial or open source) simulation mode.
• Promoting free, creative and inductive thinking
• Ability to program commercial software or open source software to perform simulations.
• Ability to reflect and interpret software simulation results for mechanical energy problems.
SYLLABUS
Modelling using Partial Differential Equations for simulation of energy systems through generalized laws of Conservation, Transport, Production or Consumption. Algebraicization and Computational solution through grid-creation techniques. Spatial-time discretization shapes, grid control. General structure of simulation software. Modeling complex physical problems. Turbulence models, incompressible and compressible, subsonic and ultrasonic flows. Commercial simulation codes or open source software. Solve mechanical problems using software available for each case. Evaluation of results and comparison with experimental data to improve the computational process.
Case Stady Problems: Mixing flow of different temperatures in a tube, compressible and incompressible flow over wing. Heat and mass transfer of mass to components. Air conditioning study in a room.
SUGGESTED BIBLIOGRAPHY
• Anders Logg • Kent-Andre Mardal • Garth N. Wells, Automated Solution of Differential Equations by the Finite Element Method, The FEniCS Book, Springer-Verlag Berlin Heidelberg 2012, ISBN 978-3-642-23098-1, DOI 10.1007/978-3-642-23099-8.
• Hans Petter Langtangen, Anders Logg, Solving PDEs in Python-The FEniCS Tutorial Volume I, Springer, 2017
• ANSYS training manual, Introduction to FLUENT, release 12.0, 2009.
• OpenFoam Tutorial Guide, version v1906, 2019, OpenCFD limited.