Energy Systems Modeling

Recommended Prerequisites

Basic knowledge is required in Fluid Mechanics, Heat Transfer and Computer Programming. Knowledge in Numerical and Computational Methods is also recommended.

Teaching Methods

Theoretical classes have a traditional format, conducted through the presentation of the material on slides. In the theoretical-practical classes, students are guided in the utilization of open-source code and, later, in the utilization of commercial code, with the orientation preferably in the sense of helping the student to acquire progressively greater autonomy. The active participation of each student is subject to evaluation.

Learning Outcomes

The main objective of the course is to provide students with basic knowledge and applied skills in numerical modelling of heat and mass transport phenomena. The course is divided into two parts. One of a more fundamental nature, where the basic principles of numerical modeling applied to fluid mechanics and heat transfer are taught, and where students will have the opportunity to work with open source code. The second part has a more applied aspect, where commercial code will be used to solve problems of applied nature. It is expected that, at the end of the course, students will have acquired a solid foundation that will allow them to understand the potentialities and limitations of the most common techniques of numerical modeling of transfer phenomena associated with fluid flow, being able to use this type of tools in an effective and judicious way in their professional practice of engineering or research

Work Placement(s)

No

Syllabus

1.Fundamentals

       Mathematical description of physical phenomena

       Spatial and temporal discretization of the physical domain

       Simple Diffusion Problems

       Advection and diffusion

       Calculation of the flow field. SIMPLE algorithm.

       Introduction to using a 2D commercial calculation code.

2.Commercial 3D code

      Basic definition and formulation

      Construction of geometry

      Boundary conditions

      Solution

      Visualization

Head Lecturer(s)

Eugénio Miguel de Sousa Rodrigues

Assessment Methods

Assessment
Resolution Problems: 20.0%
Exam: 20.0%
Project: 60.0%

Bibliography

- S.V. Patankar, Numerical Heat Transfer and Heat Flow, Hemisphere Publishing Corp., 1980.

- D.A. Anderson, J.C. Tannehill e R.H. Pletcher, Computational Fluid Mechanics and Heat Transfer, Hemisphere Publishing Corp., (4th ed,) 2020.

- Cebeci, T., Shao, J.S., et al. (2005), Computational Fluid Dynamics for Engineers: From Panel to Navier-stokes Methods with Computer Programs. Springer.

- Chapra, S., Canale, R. (2021). Numerical Methods for Engineers (8º ed). McGraw–hill Higher Education.

- Ferziger, J.H., Peric, M. (2020), Computational Methods for Fluid Dynamics (4ªed). Springer.

-Versteeg, H. K., Malalasekera, W. (2007). An introduction to computational fluid dynamics: The finite volume method (2nd ed.). Pearson Education Limited.

- ANSYS Inc. (2021). Theory Reference Manual

- ANSYS Inc. (2021). ANSYS CFX-Pre User´s Guide.

- ANSYS Inc. (2021). Ansys CFX-Solver Theory Guide

- ANSYS Inc. (2021). ANSYS CFX-Solver Modelling Guide.