Course Contents 2nd EDUCATION PERIOD
Part 1 (2 ECTS)
Module 1 Introduction, Context, Foundations
Module 2 Conservation equations
Module 3 Modeling paradigms
Module 4 Numerical methods and software
Module 5 Modelica
Module 6 Constitutive equations
Module 7 Components and system modeling
Module 8 Verification and validation
3rd EDUCATION PERIOD
Part 1 (1 ECTS)
Module 9 Model-based control
Take Home exam
Part 2 (2 ECTS)
Module 10 - Team Project to be chosen among
a Aero engine with GSP or GTPsim
b Power or propulsion system with Modelica
Study Goals After learning the content of the course, the student will be able to:
Given an engineering problem related to propulsion and power systems, use the 9-steps method to create or select the appropriate
model and run and interpret simulations in order to obtain a good solution of such problem, and communicate the results.
In particular, this overarching objective can be obtained by developing the following theoretical capabilities:
1. Describe the role and types of models in Propulsion and Power Systems Engineering, and define which different modeling
paradigms and numerical methods are most appropriate or needed to develop a system model given its purpose.
2. Formulate a mathematical model for a typical propulsion and power system or component, by first analyzing the functionality
of a system by means of a process flow diagram; by defining the energy, mass, and momentum conservation balances for the
system of interest, and choosing the most appropriate form of conservation equations; by selecting the constitutive equations
required to close the mathematical model (thermophysical models of fluids, chemical reaction eqs, heat transfer correlations,
etc.).
3. Choose and configure numerical techniques for the solution of non-linear algebraic and differential-algebraic equation systems,
which result from the formulation of a mathematical model.
4. Implement and code a system model of a power and propulsion application by adopting an object-oriented modeling approach
(use of modularity, hierarchy, predefined connectors and inter-module variables).
5. Evaluate the reliability and possibly the fidelity of a model in the light of its purpose (model validation)
6. Use system models to solve engineering problems such as system performance assessment, preliminary design of the system
and its components, the design of control strategies and the tuning of controller parameters, as well as communicate the results of
the engineering analysis both verbally, and by means of a technical report.
