Description

The microcredential "M3-3-02 - Electrochemical Characterization of a Fuel Cell" focuses on the principles and techniques used to analyze the performance of fuel cells through electrochemical methods. Participants will learn how to measure key parameters such as voltage, current, and power output, as well as understand the factors influencing fuel cell efficiency. This microcredential provides hands-on experience with equipment and software commonly used in fuel cell research and development.

Learn-and-Earn Microcredentials

Learn-and-earn microcredentials require completing a structured learning experience, such as a course, workshop, or learning path. Afterward, you must demonstrate mastery of the acquired skills through assessments or evaluations. This type ensures your knowledge is both acquired and validated, making it ideal for those seeking to enhance their expertise while earning a recognized credential. It combines education and skill validation, offering a clear pathway to professional growth.

Non-Formal Learning

This microcredential supports non-formal learning experiences. It recognizes skills gained through workshops, online courses, or workplace training, offering a flexible way to validate targeted learning outcomes. It's perfect for those seeking recognition for practical, hands-on learning outside traditional institutions.

Details

Microcredential

Non-Formal

Learn & Earn

English

5 years

20:00Learning Hours: 20ECTS: 1

Advanced

EQF - Europe: Level 7

Skills you will earn

Fuel Cell Types and Operating Principles

Relate and distinguish between different fuel cell types by explaining their construction, operating principles, and key differences in performance and applications.

Fuel Cell Voltage Losses and Ideal vs Real Behaviour

Schematize the mechanisms behind voltage losses in fuel cells and explain the deviation between ideal and real voltage through physical and electrochemical phenomena.

Fuel Cell Performance Characterisation Methods

Differentiate and evaluate experimental and analytical methods used to characterise fuel cell performance across operating conditions.

Polarization Curve Acquisition for SOFC Systems

Obtain and interpret polarization curves from Solid Oxide Fuel Cell (SOFC) experiments to assess performance under varying load conditions.

SOFC Hydrogen Utilisation Modelling

Distinguish and apply modelling approaches for SOFC systems operating with hydrogen fuel, linking physical processes to system-level behaviour.

Electrochemical Impedance Spectroscopy (EIS) and DRT Fundamentals

Identify and explain non-invasive diagnostic techniques such as EIS and Distribution of Relaxation Times (DRT) for fuel cell analysis.

EIS Data Analysis in PEM Fuel Cells

Compute and interpret Electrochemical Impedance Spectroscopy (EIS) results to evaluate performance and degradation in PEM fuel cells.

DRT Analysis Using Open-Access Tools

Apply Distribution of Relaxation Times (DRT) analysis using open-access software tools to extract diagnostic insights from fuel cell data.

Equivalent Circuit Modelling and DRT for SOFCs

Develop and apply equivalent circuit models and DRT methodologies to analyse SOFC electrochemical behaviour and system dynamics.

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