MODELS AND METHODS FOR ENERGY ENGINEERING

MODELS AND METHODS FOR ENERGY ENGINEERING

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iten
Code
86662
ACADEMIC YEAR
2020/2021
CREDITS
6 credits during the 2nd year of 10170 ENERGY ENGINEERING (LM-30) SAVONA
SCIENTIFIC DISCIPLINARY SECTOR
ING-INF/04
LANGUAGE
English
TEACHING LOCATION
SAVONA (ENERGY ENGINEERING )
semester
1° Semester
Teaching materials

OVERVIEW

  • The course has the objective of providing the essential tools for analysis and optimization of energy systems. To this end, various methodological approaches will be introduced and discussed. The effectiveness of such approaches will be demonstrated via software exercises carried out in connection with simple case studies.

AIMS AND CONTENT

LEARNING OUTCOMES

To provide the essential methodological tools for the statement and the solution of management and control problems relevant to energy and environmental systems. To provide an introduction to widespread and flexible software tools (such as, for instance, LINGO and MATLAB) for the solution of optimization and control problems, and for the simulation and performance analysis of the controlled dynamic systems.

AIMS AND LEARNING OUTCOMES

The objective of the course is that of providing the essential methodological tools necessary for the statement and the solution of management and control problems of energy systems. Besides, software tools like MATLAB and LINGO will be introduced and used, during the course, for the solution of the considered problems, as well as for the simulation and analysis of the controlled systems. At the end of the course, the sudents will be able  to represent energy systems as dynamic models and to state and solve control and optimization problems for such systems.

 

 

PREREQUISITES

Mathematical analysis (standard level). Basic knowledge of system theory. Electrical systems models.

Teaching methods

Lectures and computer exercises in the classroom.

SYLLABUS/CONTENT

Methods and tools for dynamic system simulation. Static optimization. Linear and integer programming. State-space representation of dynamic systems. Dynamic optimization. Optimal control and dynamic programming. Predictive control. Optimal management of energy systems. 

RECOMMENDED READING/BIBLIOGRAPHY

Some bibliographical references are included in the class notes.

TEACHERS AND EXAM BOARD

Exam Board

MICHELA ROBBA (President)

ROBERTO SACILE

RICCARDO MINCIARDI (President Substitute)

LESSONS

Teaching methods

Lectures and computer exercises in the classroom.

EXAMS

Exam description

Oral examination, including a discussion of the reports of the computer classworks.

Assessment methods

The exam will be the objective of checking and evaluating the capability of the students to state and solve simple optimization and control problems, analogous to those presented during the lectures.

 

Exam schedule

Date Time Location Type Notes
29/06/2021 11:00 SAVONA Orale
20/07/2021 11:00 SAVONA Orale
06/09/2021 11:00 SAVONA Orale