Utilization of artificial neural network for Solid Oxide Fuel Cell modelling in off -design conditions

Aim of project
Utilization of the artificial neural network (ANN) for Solid Oxide Fuel Cell modelling in off -design conditions is the main goal of the project. The investigations cover the type and structure of ANN as close as possible to experimental data. Additionally, an important parameter which will be taken into consideration is the time needed to proceed the calculations.

Expected results
ANN-based SOFC off -design model is the main expected result of the project. Network configuration and optimized SOFC architecture will be an additional valuable result.