Structural modeling and analysis of fuel cell: a graph-theoretic approach.

Area of Science:

• Energy Conversion
• Systems Engineering
• Computational Methods

Background:

• Fuel cells are critical energy conversion systems requiring performance analysis under various operating conditions.
• Evaluating fuel cell system performance logically is essential for informed decision-making regarding efficiency and interdependent parameters.

Purpose of the Study:

• To develop and present a novel methodology for analyzing fuel cell system structures.
• To enable more informed decisions in fuel cell system design and operation through quantitative performance evaluation.

Main Methods:

• Categorization of different fuel cell types.
• Development of a combined graph theory and matrix method for system analysis.
• Application of digraph, matrix, and permanent function representations.
• Quantitative evaluation using a mathematical model to derive a performance index.

Main Results:

• A structured methodology for analyzing fuel cell systems is established.
• A quantitative performance index is derived from the mathematical model.
• Case studies demonstrate the practical application and advantages of the proposed method.

Conclusions:

• The proposed graph and matrix-based methodology provides a robust framework for fuel cell system analysis.
• This approach facilitates informed decision-making by quantitatively assessing system performance and interdependencies.
• The method offers advantages in evaluating complex energy conversion systems.