EXE-ENGINEERING FOR ENVIRONMENT S.R.L. (20240253095). LANDFILL BIOGAS EXTRACTION PLANT WITH REMOTE MANAGEMENT AND CONTROL

LANDFILL BIOGAS EXTRACTION PLANT WITH REMOTE MANAGEMENT AND CONTROL

Organization Name

EXE-ENGINEERING FOR ENVIRONMENT S.R.L.

Inventor(s)

Gianni Cordaro of Poggibonsi IT

LANDFILL BIOGAS EXTRACTION PLANT WITH REMOTE MANAGEMENT AND CONTROL

This abstract first appeared for US patent application 20240253095 titled 'LANDFILL BIOGAS EXTRACTION PLANT WITH REMOTE MANAGEMENT AND CONTROL

Original Abstract Submitted

a remote control system of a plant for managing the biogas catchment wells of a landfill in an automated manner by means of central software, adapted to optimize biogas production by increasing its flow rate and maximizing the concentration of methane therein. the plant has a plurality of extraction wells, which are organized in substations, and an infrastructure of controllers for data acquisition and data sending. each well is associated with an infrastructure of sensors, an adjustment valve, and an actuator. the sensors are adapted to measure the volume percentage of methane % ch4, the volume percentage of oxygen % o2, the flow rate q sucked in, and the applied negative pressure p of the well. the extraction wells of a substation are connected to a controller of the infrastructure of data acquisition and data sending for sending the values measured from the sensors to the remote control system () through a communication network. the remote management system receives the values measured from the sensors through the controllers, processes them, and based on predetermined rules generates the actuation commands of the actuators acting on the adjustment valves. the predetermined rules are based on a preference principle, according to which the well to be opened more is chosen based on its contribution compared to the other wells, and on an interference principle, according to which, in the case of two interfering wells, the control system chooses the well from which to suck more biogas based on an average performance index (iq) of the wells.