# MATHEMATICAL MODELLING FOR ENERGY SYSTEMS

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iten
Last update 24/12/2020 15:53
Code
86630
2020/2021
CREDITS
6 credits during the 1st year of 10170 ENERGY ENGINEERING (LM-30) SAVONA
SCIENTIFIC DISCIPLINARY SECTOR
MAT/07
LANGUAGE
English
TEACHING LOCATION
SAVONA (ENERGY ENGINEERING )
semester
1° Semester
Teaching materials

OVERVIEW

The course aims to provide general mathematical techniques for the implementation of a mathematical model, for its formalization, and for the study of its behavior.

## AIMS AND CONTENT

LEARNING OUTCOMES

The aim of the course is to provide students with an overview of the basic mathematical methods used for the solution and the qualitative study of certain types of ordinary and partial differential equations of interest in engineering.  A substantial part of the course is devoted to  pc labs with Matlab in which the topics treated at the blackboard  are exemplified. At the end of the course, the student acquires the ability to study the behavior of complex systems through the formulation of a simplified mathematical model capable of describing and predict the salient features of the phenomenon.

AIMS AND LEARNING OUTCOMES

The course introduces at the use of differential equations for the modeling of physical phenomena. Traditional lectures at the blackboard are complemented by lab sessions in which the student has to implement simple exercises with Matlab on the topics covered by the lectures. In order to become familiar with Matlab, a review of the matrix formalism is performed, which is of interest by itself.

Teaching methods

Traditional lectures, lab exercises with matlab.

SYLLABUS/CONTENT

 We introduce mathematical techniques for the construction of a mathematical model, for its formalization, and for the study of its behavior. In order to illustrate such methods, the following topics are developed: Simple systems modeled by ordinary differential equations. Systems modeled by partial differential equations: transport equation, and heat equations. Simple Cauchy and boundary value problems: formulation and main techniques: separation of variables (and related techniques: Fourier series and transform), fundamental solutions. Matlab exercises

• lecture notes
• E.Beltrami Mathematics for dynamic modelling Academic Press
• O.Caligaris - P.Oliva lecture notes at : //sv.inge.unige.it/DidRes/Analisi/

## TEACHERS AND EXAM BOARD

Ricevimento: Appointment on student's request (send an email to carm@sv.inge.unige.it).

Exam Board

CLAUDIO CARMELI (President)

OTTAVIO CALIGARIS

RENATO PROCOPIO (President Substitute)

## LESSONS

Teaching methods

Traditional lectures, lab exercises with matlab.

## EXAMS

Exam description

Students can choose among the following possibilities:

1) traditional examination:  it consists in solving a Matlab exercise and  answering a question about the syllabus.

2) writing a report: it consists in writing an essay on a topic of interest for the student. It should be structured as follows: explanation of the process/phenomenon under consideration, writing of the equations modeling it, solution (analytical and/or numerical), explanation and interpretation of the solution. Once the essay has been written, it must be submitted to the teacher before the day of the examination. If the report is approved, students must prepare a set of slides and present them. During the presentation, the students are required to prove their understanding of the topic by answering questions.

For those students who attended all the laboratories and delivered all the lab reports in due time, a simpler version of the exam is required, in which they have to solve a matlab exercise similar to one assigned during the labs.

Assessment methods

The exam verifies the student's ability to write the equations that model simple phenomena, to set the solution and to analyze the salient qualitative aspects.