First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Engineering
Course unit
IN02120307, A.A. 2016/17

Information concerning the students who enrolled in A.Y. 2016/17

Information on the course unit
Degree course Second cycle degree in
IN0528, Degree course structure A.Y. 2014/15, A.Y. 2016/17
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Number of ECTS credits allocated 9.0
Type of assessment Mark
Course unit English denomination ENERGY SYSTEMS
Website of the academic structure
Department of reference Department of Industrial Engineering
E-Learning website
Mandatory attendance No
Language of instruction Italian
Single Course unit The Course unit can be attended under the option Single Course unit attendance
Optional Course unit The Course unit can be chosen as Optional Course unit

Teacher in charge ANDREA LAZZARETTO ING-IND/09

ECTS: details
Type Scientific-Disciplinary Sector Credits allocated
Core courses ING-IND/08 Fluid Machines 5.0
Core courses ING-IND/09 Energy and Environmental Systems 4.0

Mode of delivery (when and how)
Period First semester
Year 1st Year
Teaching method frontal

Organisation of didactics
Type of hours Credits Hours of
Hours of
Individual study
Lecture 9.0 72 153.0 No turn

Start of activities 26/09/2016
End of activities 20/01/2017

Examination board
Board From To Members of the board
10 A.A. 2017/18 01/10/2017 30/12/2018 LAZZARETTO ANDREA (Presidente)
RECH SERGIO (Membro Effettivo)
8 A.A. 2016/17 01/10/2016 15/12/2017 LAZZARETTO ANDREA (Presidente)
7 A.A. 2015/16 01/10/2015 30/11/2016 LAZZARETTO ANDREA (Presidente)
RECH SERGIO (Membro Effettivo)

Prerequisites: Students who want to attend the course must:
- know the basics of thermodynamics of non-reactive and reactive fluids, fluid mechanics and machines and
- have competence on machinery and power plants technologies that they learned in courses at the Bachelor Degree.
In addition, students must possess knowledge of mathematical analysis and numerical calculation in order to face the modeling and optimization problems related to the behavior of the energy systems.
Target skills and knowledge: Achieve basic concepts, criteria and techniques for modeling and optimizing the design and operation of energy conversion and recovery systems.
Examination methods: The exam consists in a written test consisting in some questions related to topics and methodologies considered during the course. The time available for the written test varies between two and three hours depending on the type of questions.
In order to participate to the exam students are asked to deliver a report including all the exercises performed during the course.

One of the questions refers to the application of Matlab-Simulink modeling criteria that were taught in the computing laboratory lectures. It requires to build an energy system/component block diagram.

In more detail the answer must include:
• A discussion on how mass and energy streams are modeled (which variables are considered to describe mass and energy streams and how these variables are organized in the Simulink signals);
• The choice, and a discussion on the choice, of the independent and dependent variables of the model;
• Model equations, and a discussion on what they represent (e.g., mass balance, energy balance, system component efficiency, etc.). All equations should be in explicit form as required by Simulink (i.e. in the form of a dependent variable versus all the other variables)
• A block diagram of the model that has to be sufficiently detailed to explain the usefulness of each block (e.g., Function block: it calculates the output variable “f(u)” versus a single input array including the generic variable “u”. This array “u” is built using a Mux block placed upstream the Function block. In the Mux block all signals containing the required variables are sorted; the order used in the construction of the array “u” is fundamental to include in the menu of the Function block the proper “f(u)” formula. The latter has to be included in the text);
• A clear and concise explanation of control criteria, or other criteria presented during the course to solve/modify system models;
• Other specific requested explanations (e.g., model modifications when the choice of the independent variables is changed)

The above requirements stricly correspond to all actions presented during the lectures in the computing laboratory about the construction of the energy systems models.

To prepare the exam we suggest students to write summaries of each macro-topic presented during the course.
Assessment criteria: The evaluation criteria take into account:
- Student's ability to answer questions according to the instructions presented in "Modalità d'esame" (Examination procedure);
- Quality and completeness of the reports about the exercises performed during the course.
Course unit contents: Introduction to energy conversion systems for the supply of energy to industrial or domestic users.

Introduction to energy systems modelling. Features of design and off-design energy systems models: number and type of equations and variables, aggregation level of the components. Simultaneous and sequential-modular approaches to modelling.

Zero-dimensional design and off-design model of the main energy system components: compressors, turbines, heat exchangers. Basics of combustion and combustors model.

Energy system modelling using a simultaneous approach in Engineering Equation Solver (EES) environment: design model of simple cycle gas turbine and steam power plants, off-design model of a gas turbine.

Energy system modelling using a sequential-modular approach in Matlab-Simulink environment. Presentation of the different approaches used to model a gas turbine power plant for different choices of the independent variables. Dynamic model of a solar system with thermal storage.

Exergoeconomic analysis of energy systems using the SPECO (Specific Exergy Costing) method and applications.

Basics of Pinch Technology for optimal integration of heat flows within power plants and industrial processes. Composite curves of the heat transfer. Solution of the "Problem Table" to find the minimum thermal utility. Design of a heat exchanger network according to the maximum energy savings and minimum economic cost criteria.

Formulation of an optimization problem: objective function, constraints. Standard and evolutionary optimization algorithms. Mono and multi-objective optimization of the energy system design and operation. Design and of design optimization of macro-systems including several power and thermal plants. Design optimization of energy systems independently of the configuration of the heat exchangers network.

Evolution of the configuration of energy systems based on the Brayton Joule cycle.
Planned learning activities and teaching methods: The course includes classroom lectures or lectures in the computing laboratory. The latter include the guided use of software for the construction of energy systems models mentioned at “Contents”.
The classroom lectures are intended to convey the criteria of the design and off-design modeling and optimization of energy systems conversion and recovery, those in the computing laboratory aim to provide every tool that are needed to implement them in calculation programs. The set of lectures aims to fully respond to the achievement of learning objectives of the course that are listed in “Knowledge and skills to be acquired”.
Additional notes about suggested reading: A pamphlet including all the topics covered in the lectures is provided. We recommend students to not exclusively base their exam-preparation on this pamphlet suggesting lesson by lesson books to refer for a fully understanding of topics. The suggested books are listed in "Recommended Books".
Textbooks (and optional supplementary readings)
  • A. Bejan, G. Tsatsaronis, M. Moran, Thermal Design and Optimization. New York: J. Wiley and Sons, 1996. Cerca nel catalogo
  • R.F. Boehm, Design Analysis of Thermal Systems. New York: J. Wiley and Sons, 1987. Cerca nel catalogo
  • W.F. Stoecker, Design of Thermal Systems. --: McGraw-Hill, 1989. Cerca nel catalogo
  • S. Rao, Engineering Optimization, Theory and Practice. New York: Wiley and Sons, 1996. Cerca nel catalogo
  • G.V. Reklaitis, A. Ravindran, K.M. Ragsdell, Engineering Optimization Methods and Applications. New York: J. Wiley and Sons, 1983. Cerca nel catalogo
  • M. Moran, H.N. Shapiro, Fundamentals of Engineering Thermodynamics. New York: J. Wiley and Sons, 2010. Cerca nel catalogo