2023

Optimization of Thermal Systems

Name: Optimization of Thermal Systems
Code: EME13173D
6 ECTS
Duration: 15 weeks/156 hours
Scientific Area: Mechanical Engineering

Teaching languages: Portuguese
Languages of tutoring support: Portuguese
Regime de Frequência: Presencial

Sustainable Development Goals

Learning Goals

The student will acquire knowledge and skills for modeling, simulation and optimization of thermal systems. The student should be able to develop and implementing simulation models of thermal systems, as e.g. heat exchangers, heat pumps, thermal solar panels and others, and should be able to optimizing such systems for improving energy efficiency. He/she should also be able to use concepts and methods as entropy generation minimization, irreversibility and exergy analysis, as well as using numerical methods of optimization.

Contents

1. Review of thermodynamics, fluid mechanics and heat transfer and its use for thermal systems modeling.
2. Thermal components modeling (compact heat exchangers and heat sinks, solar thermal collectors, solar thermal receivers in concentration systems, heat pumps and others). Governing equations and fluid flow and heat transfer modeling.
3. Simulation of thermal systems – global model development and simulation techniques through the solution of systems of non-linear equations. Applications.
4. Optimization of thermal systems: (i) use of simulation models for efficiency optimization; (ii) entropy generation minimization; (iii) exergy analysis and irreversibility.
5. Optimization of fluid flow and internal geometric structure of compact heat sinks and heat exchangers. Convection in porous media.

Teaching Methods

The teaching method is based on theoretical and theoretical/practical classes. In the theoretical classes the essential aspects of theory and model development will be presented and discussed. In the practical classes the implementation of simulation models will be approached using calculation and numerical simulation tools when necessary. Evaluation consists on two essay were students will search, develop and simulate an optimization model. These essays will be presented and discussed in the classes.

Teaching Staff