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Spec Sheet Description
Fuel Cell Trainer
FCBE/EV
FCBA/EV (computerized version)
This system enables experimental investigation of the electrochemical energy conversion taking place in a fuel cell stack fed by hydrogen and oxygen (present in atmospheric air). The equipment is manufactured using real components available on the market.
Description:
The system consists of:
A) Fuel cell stack
B) Hydrogen feeding line
C) Switchable electric loads
D) Instrumentation
E) Transparent room for simulation of domestic heating
(on request for FCBE/EV)
F) Data acquisition board with USB interface for PC connection
(FCBA/EV)
Operating Principle:
Training Program:
- Electrochemical power conversion in a fuel cell
- Characteristics and application of fuel cells
- Measurement of the fuel cell stack output parameters in different conditions of load
- Drawing the characteristic curves
- Fuel cell stack efficiency calculation
- Calculation of the heating power produces by the fuel cell stack (in case of model FCBE/EV)
- Study of energy flows and related measurement devices
PC Data Acquisition (FCBA/EV)
- The unit includes a data acquisition board with USB interface for connection to PC.
- The unit is supplied with a specific software for monitoring the different parameters of the system.
- Parameters displayed:
- Voltage and current generated by the stack and powering the loads
- Flow rate of hydrogen feeding the stack
- Temperature and relative humidity of air at stack inlet and outlet
- Air speed at stack outlet
- The software enables to:
- Calculate the energy conversion efficiency
- Visualize the trend of power entering the stack (related to the hydrogen flow rate), stack electric power output, thermal power released by the stack
- Visualize the air enthalpy and hygrometric rate at stack inlet and outlet
- Visualize the trend of air temperature and relative humidity at stack inlet and outlet
- Draw the fuel cell stack characteristic curves output voltage vs output current and efficiency vs output current to find out the point of stack maximum performance
- Save the exercises data for future analysis or project work