[Madiha]

Continuous monitoring of gas levels, including methane (CH₄), carbon dioxide (CO₂), and hydrogen sulfide (H₂S), is critical. The accumulation of methane beyond safe limits in some process areas can cause explosions. Moreover, exposure to hydrogen sulfide, even at concentrations as low as a few hundred ppm, can cause severe damage. The presence of early detection monitoring systems and emergency response plans enables prompt action to prevent hazards such as explosions or exposure to toxic gases and minimize the associated risks.

Monitoring can take advantage of artificial intelligence (AI) to enhance the safety of biogas plants by utilizing advanced data analytics, predictive modelling, and automation capabilities. For example, AI algorithms can analyze data from sensors monitoring equipment such as pumps, valves, and digesters to detect anomalies or early signs of equipment malfunctions. Early detection helps prevent potential hazards such as leaks, overpressurization, or breakdowns that could lead to safety incidents.

The Anessa monitoring platform automatically collects data from various plant sensors, visualizes system trends and behaviours, and alerts operators to out-of-range values or hazardous situations. Additionally, the platform can integrate the plant’s response plan and standard operating procedures (SOP) to ensure appropriate actions are taken.