Real-Time / IoT Control Models

WBFuzzy Control: real-time control of maximum biogas production yield

by Giovanni Mappa

WBFuzzy Control is a software procedure designed to optimize anaerobic digestion processes for maximum biogas yield from heterogeneous biomass in the shortest timeframe possible.

Three Key Elements

The system addresses three primary elements:

1. Online Instrumentation

Uses readily available market equipment at sustainable costs, interpreting signals through inferential processes to generate early-warning information about process stability (VFA, pH, alkalinity, COD) and performance metrics (biogas flow, CH₄ percentage).

2. Integrated Real-Time Management

Manages both quantitative and qualitative aspects of digester feeding, considering biochemical characteristics of biomass matrices, potential biogas production (BMP — Biochemical Methane Potential), and biomass procurement costs.

3. Fuzzy Logic Control

Employs multi-fuzzy knowledge-based control systems to interpret and manage functional deviations promptly, accounting for the slow dynamics (20 days) inherent in anaerobic digestion processes.

Related Software: DAX-2

The DAX-2 companion software analyzes anaerobic digester functionality, providing:

  • Instability detection and diagnostics
  • Early-warning alerts with root cause identification
  • Troubleshooting guidance for remedial actions
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