Abstract:
The utilization of bio-hydrogen as a fuel source holds immense promise as a renewable energy option,
offering compelling economic and environmental advantages. This study investigates the economic and
environmental advantages of bio-hydrogen as a renewable energy source compared to fossil fuels, focusing
on the reduction of greenhouse gas emissions such as carbon dioxide and carbon monoxide. The enhancement of anaerobic hydrogen production reactor capacity is explored through the application of a fuzzy
controller system. Numerical simulations demonstrate that the fuzzy controller outperforms other methods
in augmenting biological hydrogen production, effectively addressing the inherent non-linear characteristics
of the system. In contrast, limitations in robustness against system uncertainty are observed with the nonlinear controller. Exceptional tracking of desired values by the fuzzy controller, even in the presence of
model uncertainty, results in a lower integral of time multiplied by squared error (ITSE) performance
index compared to non-linear and proportional–integral controllers. Emphasizing the viability of the fuzzy
method for regulating hydrogen production processes, potential gains of up to 95% in biological hydrogen
production are indicated compared to open-loop configurations. This clean-burning fuel holds promise for
industrial applications, contributing to the reduction of harmful gas emissions. The findings underscore the
transformative potential of the fuzzy controller system in advancing sustainable hydrogen production and
its significant role in addressing environmental concerns.
