Automation and control of an anaerobic biodigester for biogas production from POME

Authors

DOI:

https://doi.org/10.24054/8aravv73

Keywords:

Biogas, POME, anaerobic biodigester, automation, control

Abstract

Wastewater generated during palm oil production (POME) represents a significant environmental challenge due to its high organic load and the release of greenhouse gases when it is not properly treated. In response to this issue, this study focuses on the design and implementation of an automation and control system for a batch-type anaerobic biodigester, aimed at maximizing biogas production from this residue. The proposed methodology is based on the instrumentation of the reactor using temperature, pH, gas, and pressure sensors integrated into an ESP32-based platform, allowing continuous and reliable data acquisition. In addition, a PI control strategy is implemented for thermal regulation, while a fuzzy control approach is used to stabilize pH, since even small variations in these parameters can strongly affect biological performance. Furthermore, a real-time monitoring system developed in Python using WebSocket communication enables continuous supervision of the process. The main achievements include the thermal characterization of the system, the design of a zero-crossing power stage, and the implementation of continuous process monitoring.

Author Biographies

  • Luis Humberto Urueña Ardila, Universidad de Pamplona

    universidad de pamplona, Facultad de ingeniería y arquitectura, Ingeniería electrónica, Semillero de Investigación en Sistemas Electrónicos Embebidos (SISEE), Pamplona, Norte Santander, Colombia.

  • Carlos Arturo Vides Herrera, Universidad de Pamplona

    universidad de pamplona, Facultad de ingeniería y arquitectura, Ingeniería electrónica, Semillero de Investigación en Sistemas Electrónicos Embebidos (SISEE), Pamplona, Norte Santander, Colombia.

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Published

2025-12-29

How to Cite

Automation and control of an anaerobic biodigester for biogas production from POME. (2025). Revista Semilleros De Investigación, 8(1), 1-10. https://doi.org/10.24054/8aravv73

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