Method for extracting biogas and corresponding device

Abstract

The invention essentially relates to a method for controlling the extraction of a biogas from a housing ( 50 ) equipped with at least one extraction assembly ( 31 A, 31 B) connected to a manifold ( 70 A, 70 B) via a control valve ( 10 A, 10 B), said method comprising the following steps: providing a respective predetermined manifold pressure (Pr) for each manifold ( 70 A, 70 B), and opening the control valve ( 10 A, 10 B) in a given position. The method is essentially characterised in that it further comprises the following steps: measuring the value of a meteorological parameter outside the housing; calculating a global set point (dPci) of the control valve ( 0 A, 10 B) position based on the measured meteorological parameter value, and opening the control valve ( 10 A, 10 B) in a given position in response to the global set point (dPci).

1 . A method for controlling the extraction of a biogas from a housing equipped with at least one extraction assembly, each extraction assembly being connected to a respective manifold via a respective control valve and comprising at least one unitary extraction device, the method comprising the steps of:
 providing a respective predetermined manifold pressure (Pr) for each manifold, and   opening the control valve at a given position,   characterized in that it further comprises the steps of:
 measuring the value of a meteorological parameter outside the housing, 
 calculating a global set point (dPci) of differential pressure based on the measured meteorological parameter value, 
 measuring a relative pressure (dPi) at least at one extraction assembly, 
 comparing the measured relative pressure (dPi) with the global set point (dPci), and 
   changing a position of the control valve based on the comparison result.   
     
     
         2 . The method according to  claim 1 ,
 further comprising a step of:   providing a first local set point (dPci 1 ) by comparing the value of the measured meteorological parameter with a reference model,   the step of calculating the global set point (dPci) being a function of said first local set point (dPci 1 ).   
     
     
         3 . The method according to  claim 2 , wherein the measured external meteorological parameter value comprises at least one of atmospheric pressure, external temperature and rainfall rate. 
     
     
         4 . The method according to  claim 1 , further comprising the steps of:
 measuring a value of an internal adjusting parameter comprising O 2 /CH 4 /CO 2  content, pressure, and temperature at least at one extraction assembly,   comparing the measured value to a reference value, and   providing a second local set point (dPci 2 ) based on the comparison result,   the step of calculating the global set point (dPci) being a function of said second local set point (dPci 2 ).   
     
     
         5 . The method according to  claim 2 , wherein the reference model is built through a preliminary learning step, wherein an evolution of a pressure inside a mound of waste of the housing is measured based on the value of a measured external and internal parameter. 
     
     
         6 . A device for controlling the extraction of a biogas, capable of implementing the method according to  claim 1   the device comprising:
 a housing equipped with at least one extraction assembly, each extraction assembly being connected to a respective manifold via a respective control valve and comprising at least one unitary extraction device, 
 means for providing a manifold pressure (Pr) to the respective manifold, and 
 means for opening the control valve at a given position 
   characterized in that it further comprises,
 means for measuring a value of a meteorological parameter outside the housing, 
 means for calculating a global set point (dPci) of differential pressure based on the measured meteorological parameter value, 
 means for measuring the differential pressure (dPi) at least at one extraction assembly, 
 means for comparing the measured relative pressure with the global set point (dPci), and 
 means for changing a position of the control valve according to the comparison result. 
   
     
     
         7 . The device according to  claim 6 , further comprising:
 means for providing a first local set point (dPci 1 ) by comparing the value of the measured meteorological parameter with a reference model, the step of calculating the global set point (dPci) being a function of said first local set point (dPci 1 ).   
     
     
         8 . The device according to  claim 7 , further comprising learning means, configured to measure an evolution of an internal pressure (Pi) based on the value of the measured external meteorological parameter, the reference model being built from the learning means. 
     
     
         9 . The device according to  claim 6 , further comprising:
 means for measuring a value of an internal physicochemical parameter comprising O 2 /CH 4 /CO 2  content at least at one extraction assembly,   means for comparing the measured value with a reference value, and   means for providing a second local set point (dPci 2 ) based on the comparison result, the global set point (dPci) being a function of said second local set point (dPci 2 ).   
     
     
         10 . The method according to  claim 2 , further comprising the steps of:
 measuring a value of an internal adjusting parameter comprising O 2 /CH 4 /CO 2  content, pressure, and temperature at least at one extraction assembly,   comparing the measured value to a reference value, and   providing a second local set point (dPci 2 ) based on the comparison result,   the step of calculating the global set point (dPci) being a function of said second local set point (dPci 2 ).   
     
     
         11 . The method according to  claim 3 , further comprising the steps of:
 measuring a value of an internal adjusting parameter comprising O 2 /CH 4 /CO 2  content, pressure, and temperature at least at one extraction assembly,   comparing the measured value to a reference value, and   providing a second local set point (dPci 2 ) based on the comparison result,   the step of calculating the global set point (dPci) being a function of said second local set point (dPci 2 ).   
     
     
         12 . The method according to  claim 3 , wherein the reference model is built through a preliminary learning step, wherein an evolution of a pressure inside a mound of waste of the housing is measured based on the value of a measured external and internal parameter. 
     
     
         13 . The method according to  claim 3 , wherein the reference model is built through a preliminary learning step, wherein an evolution of a pressure inside a mound of waste of the housing is measured based on the value of a measured external or internal parameter. 
     
     
         14 . The method according to  claim 4 , wherein the reference model is built through a preliminary learning step, wherein an evolution of a pressure inside a mound of waste of the housing is measured based on the value of a measured external and internal parameter. 
     
     
         15 . The method according to  claim 4 , wherein the reference model is built through a preliminary learning step, wherein an evolution of a pressure inside a mound of waste of the housing is measured based on the value of a measured external or internal parameter. 
     
     
         16 . The method according to  claim 10 , wherein the reference model is built through a preliminary learning step, wherein an evolution of a pressure inside a mound of waste of the housing is measured based on the value of a measured external and internal parameter. 
     
     
         17 . The method according to  claim 10 , wherein the reference model is built through a preliminary learning step, wherein an evolution of a pressure inside a mound of waste of the housing is measured based on the value of a measured external or internal parameter. 
     
     
         18 . The method according to  claim 11 , wherein the reference model is built through a preliminary learning step, wherein an evolution of a pressure inside a mound of waste of the housing is measured based on the value of a measured external and internal parameter. 
     
     
         19 . The method according to  claim 11 , wherein the reference model is built through a preliminary learning step, wherein an evolution of a pressure inside a mound of waste of the housing is measured based on the value of a measured external or internal parameter. 
     
     
         20 . A device for controlling the extraction of a biogas, capable of implementing the method according to  claim 2 ,
 the device comprising:
 a housing equipped with at least one extraction assembly, each extraction assembly being connected to a respective manifold via a respective control valve and comprising at least one unitary extraction device, 
 means for providing a manifold pressure (Pr) to the respective manifolds, and 
 means for opening the control valve at a given position 
   characterized in that it further comprises,
 means for measuring a value of a meteorological parameter outside the housing, 
 means for calculating a global set point (dPci) of differential pressure based on the measured meteorological parameter value, 
 means for measuring the differential pressure (dPi) at least at one extraction assembly, 
 means for comparing the measured relative pressure with the global set point (dPci), and 
 means for changing a position of the control valve according to the comparison result. 
   
     
     
         21 . The device according to  claim 20 , further comprising:
 means for providing a first local set point (dPci 1 ) by comparing the value of the measured meteorological parameter with a reference model, the step of calculating the global set point (dPci) being a function of said first local set point (dPci 1 ).   
     
     
         22 . The device according to  claim 21 , further comprising learning means, configured to measure an evolution of an internal pressure (Pi) based on the value of the measured external meteorological parameter, the reference model being built from the learning means. 
     
     
         23 . The device according to  claim 21 , further comprising:
 means for measuring a value of an internal physicochemical parameter comprising O 2 /CH 4 /CO 2  content at least at one extraction assembly,   means for comparing the measured value with a reference value, and   means for providing a second local set point (dPci 2 ) based on the comparison result, the global set point (dPci) being a function of said second local set point (dPci 2 ).   
     
     
         24 . A device for controlling the extraction of a biogas, capable of implementing the method according to  claim 3 ,
 the device comprising:
 a housing equipped with at least one extraction assembly, each extraction assembly being connected to a respective manifold via a respective control valve and comprising at least one unitary extraction device, 
 means for providing a manifold pressure (Pr) to the respective manifolds, and 
 means for opening the control valve at a given position 
   characterized in that it further comprises,
 means for measuring a value of a meteorological parameter outside the housing, 
 means for calculating a global set point (dPci) of differential pressure based on the measured meteorological parameter value, 
 means for measuring the differential pressure (dPi) at least at one extraction assembly, 
 means for comparing the measured relative pressure with the global set point (dPci), and 
 means for changing a position of the control valve according to the comparison result. 
   
     
     
         25 . The device according to  claim 24 , further comprising:
 means for providing a first local set point (dPci 1 ) by comparing the value of the measured meteorological parameter with a reference model, the step of calculating the global set point (dPci) being a function of said first local set point (dPci 1 ).   
     
     
         26 . The device according to  claim 25 , further comprising learning means, configured to measure an evolution of an internal pressure (Pi) based on the value of the measured external meteorological parameter, the reference model being built from the learning means. 
     
     
         27 . The device according to  claim 26 , further comprising:
 means for measuring a value of an internal physicochemical parameter comprising O 2 /CH 4 /CO 2  content at least at one extraction assembly,   means for comparing the measured value with a reference value, and   means for providing a second local set point (dPci 2 ) based on the comparison result, the global set point (dPci) being a function of said second local set point (dPci 2 ).   
     
     
         28 . A device for controlling the extraction of a biogas, capable of implementing the method according to  claim 4 ,
 the device comprising:
 a housing equipped with at least one extraction assembly, each extraction assembly being connected to a respective manifold via a respective control valve and comprising at least one unitary extraction device, 
 means for providing a manifold pressure (Pr) to the respective manifolds, and 
 means for opening the control valve at a given position 
   characterized in that it further comprises,
 means for measuring a value of a meteorological parameter outside the housing, 
 means for calculating a global set point (dPci) of differential pressure based on the measured meteorological parameter value, 
 means for measuring the differential pressure (dPi) at least at one extraction assembly, 
 means for comparing the measured relative pressure with the global set point (dPci), and 
 means for changing a position of the control valve according to the comparison result. 
   
     
     
         29 . The device according to  claim 28 , further comprising:
 means for providing a first local set point (dPci 1 ) by comparing the value of the measured meteorological parameter with a reference model, the step of calculating the global set point (dPci) being a function of said first local set point (dPci 1 ).   
     
     
         30 . The device according to  claim 29 , further comprising learning means, configured to measure an evolution of an internal pressure (Pi) based on the value of the measured external meteorological parameter, the reference model being built from the learning means. 
     
     
         31 . The device according to  claim 28 , further comprising:
 means for measuring a value of an internal physicochemical parameter comprising O 2 /CH 4 /CO 2  content at least at one extraction assembly,
 means for comparing the measured value with a reference value, and 
 means for providing a second local set point (dPci 2 ) based on the comparison result, the global set point (dPci) being a function of said second local set point (dPci 2 ). 
   
     
     
         32 . A device for controlling the extraction of a biogas, capable of implementing the method according to  claim 5 ,
 the device comprising:
 a housing equipped with at least one extraction assembly, each extraction assembly being connected to a respective manifold via a respective control valve and comprising at least one unitary extraction device, 
 means for providing a manifold pressure (Pr) to the respective manifolds, and 
 means for opening the control valve at a given position 
   characterized in that it further comprises,
 means for measuring a value of a meteorological parameter outside the housing, 
 means for calculating a global set point (dPci) of differential pressure based on the measured meteorological parameter value, 
 means for measuring the differential pressure (dPi) at least at one extraction assembly, 
 means for comparing the measured relative pressure with the global set point (dPci), and 
 means for changing a position of the control valve according to the comparison result. 
   
     
     
         33 . The device according to  claim 32 , further comprising:
 means for providing a first local set point (dPci 1 ) by comparing the value of the measured meteorological parameter with a reference model, the step of calculating the global set point (dPci) being a function of said first local set point (dPci 1 ).   
     
     
         34 . The device according to  claim 33 , further comprising learning means, configured to measure an evolution of an internal pressure (Pi) based on the value of the measured external meteorological parameter, the reference model being built from the learning means. 
     
     
         35 . The device according to  claim 32 , further comprising:
 means for measuring a value of an internal physicochemical parameter comprising O 2 /CH 4 /CO 2  content at least at one extraction assembly,   means for comparing the measured value with a reference value, and   means for providing a second local set point (dPci 2 ) based on the comparison result, the global set point (dPci) being a function of said second local set point (dPci 2 ).   
     
     
         36 . The device according to  claim 7 , further comprising:
 means for measuring a value of an internal physicochemical parameter comprising O 2 /CH 4 /CO 2  content at least at one extraction assembly,   means for comparing the measured value with a reference value, and   means for providing a second local set point (dPci 2 ) based on the comparison result, the global set point (dPci) being a function of said second local set point (dPci 2 ).   
     
     
         37 . The device according to  claim 8 , further comprising:
 means for measuring a value of an internal physicochemical parameter comprising O 2 /CH 4 /CO 2  content at least at one extraction assembly,   means for comparing the measured value with a reference value, and   means for providing a second local set point (dPci 2 ) based on the comparison result, the global set point (dPci) being a function of said second local set point (dPci 2 ).