Implementation in an FPGA of an Optimization Algorithm to Maximize the Productivity of a MEC

Resumen: In this work, the implementation of an optimization algorithm in an FPGA is presented with the objective of maximizing the hydrogen flow rate produced by the degradation of organic matter in a microbial electrolysis cell. Through numerical simulation tests, the correct performance of the digital architecture was verified. The feasibility of implementing this optimization algorithm in an FPGA to replace a computer is verified through an analysis of hardware resources, execution time and power consumed.

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Jose de Jesus Colin Robles, Ixbalank Torres Zuñiga, Mario Alberto Ibarra Manzano & Victor Alcaraz Gonzalez. Implementation in an FPGA of an Optimization Algorithm to Maximize the Productivity of a MEC. Memorias del Congreso Nacional de Control Automático, pp. 196-201, 2021.

Palabras clave

Hydrogen production, FPGA-based implementation, hardware description, opptimization, microbial electrolisys cell

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