OVERVIEW

Experimental analyses of the energy systems and their components are of fundamental importance for the knowledge and understanding of the real behavior of systems and for mathematical model validations.

To this end, it is necessary to know the operating principle and characteristics of the sensors and measurement and control systems, the calibration methods and theory of error propagation, in order to understand the reliability of the measured data.

AIMS AND CONTENT

LEARNING OUTCOMES

The course provides the foundations of the experimental study of components and technologies for the energy conversion systems, imparting the basic knowledge connected with the operation of laboratory equipment, measuring instruments for energy systems, data acquisition systems and processing of experimental measurements. The laboratory activities are aimed at the experimental characterization of energy systems integrated with renewable sources, microturbines, cogeneration and combined cycles, air or water micro-expanders, renewable source systems, hydrogen and e-fuels, fuel cells.

AIMS AND LEARNING OUTCOMES

- Knowledge and ability to apply the theory of errors to experimental data
- Knowledge of measuring instruments and data acquisition techniques
- Ability to carry out laboratory tests and to process data from fuel cells and hydrogen systems, emulators of combined cycle systems, innovative heat pumps and hydroelectric systems
- Knowledge of the performance and behavior of innovative and renewable energy systems.

Soft Skills:
Ability to communicate effectively in written and oral form, adaptation to the context, use of sources and aids of various kinds,
critical thinking, ability to use, process and evaluate information.

TEACHING METHODS

Frontal lessons, laboratory activities, technical visits, team work.

SYLLABUS/CONTENT

Theory of experimental errors, examples of direct and indirect energy balances

Experimental data reconciliation, statistical techniques for designing experiments

Instrumentation used in systems for measuring integral flow, pressure, temperature, and electrical power.

Cogeneration plants with microturbines and gas: theory, practical exercises, data processing.

Heat pump systems: theory, practical exercises, data processing.

Hydrogen and PEM fuel cell systems: theory, practical exercises, data processing.

Hardware for data acquisition and control of experimental systems.

RECOMMENDED READING/BIBLIOGRAPHY

Didactic materials provided during the lessons

TEACHERS AND EXAM BOARD

LESSONS

LESSONS START

https://corsi.unige.it/en/corsi/11438/studenti-orario

Class schedule

The timetable for this course is available here: Portale EasyAcademy

EXAMS

EXAM DESCRIPTION

Oral examination and laboratory experience reports.

Students with certified learning disability (DSA), disability or other regularly certified special educational needs are advised to contact the instructor at the beginning of the course to agree on teaching and examination methods that, in compliance with the course objectives, take into account the individual learning requirements.

ASSESSMENT METHODS

The oral interview will focus on one or more questions and will have the purpose of verifying the understanding and knowledge of the topics covered, the language properties and the synthesis capacity of the students.

Practical activities will be evaluated and discussed.