Abstract: A simulation method for the management of a pipeline network having input and output nodes (S1, S2, C1) and including defining operating states describing operating conditions of the pipeline network, determining, for each operating state STp, a three-dimensional dynamic matrix DMSTp whose each coefficient DMSTp(i,j,tk) corresponds to a pressure variation value from an initial pressure value at a j-th node at a k-th time step tk following a variation, at a i-th node, of a flow rate value, and estimating, for a given node at a given moment, a pressure value on the basis of an operating schedule providing information regarding variations of the flow rate value for each node and evolutions of the operating conditions of the pipeline network until the given moment, the estimation using the operating states and the three-dimensional dynamic matrices.

Abstract: A simulation method for the management of a pipeline network having input and output nodes (S1, S2, C1) and including defining operating states describing operating conditions of the pipeline network, determining, for each operating state STp, a three-dimensional dynamic matrix DMSTp whose each coefficient DMSTp(i,j,tk) corresponds to a pressure variation value from an initial pressure value at a j-th node at a k-th time step tk following a variation, at a i-th node, of a flow rate value, and estimating, for a given node at a given moment, a pressure value on the basis of an operating schedule providing information regarding variations of the flow rate value for each node and evolutions of the operating conditions of the pipeline network until the given moment, the estimation using the operating states and the three-dimensional dynamic matrices.

Abstract: The invention relates to the optimized management of one or more fluid production units, especially those involving fluid separation treatment, comprising: a) a data collection step, the data being on one or more values of current parameters defining a current operating point of the production unit, on a future production demand and on at least one optimization criterion; and b) a computation step for computing one or more parameters defining a new operating point of the unit, at least in accordance with this demand. The computation step b) comprises at least: 1) an estimation of at least one optimum solution for defining the new operating point; and 2) a validity test carried out on this optimum solution, at least in accordance with an analysis of the transition of the production unit from the current operating point to the new operating point.

Abstract: The invention relates to the optimized management of one or more fluid production units, especially those involving fluid separation treatment, comprising: a) a data collection step, the data being on one or more values of current parameters defining a current operating point of the production unit, on a future production demand and on at least one optimization criterion; and b) a computation step for computing one or more parameters defining a new operating point of the unit, at least in accordance with this demand. The computation step b) comprises at least: 1) an estimation of at least one optimum solution for defining the new operating point; and 2) a validity test carried out on this optimum solution, at least in accordance with an analysis of the transition of the production unit from the current operating point to the new operating point.

Abstract: Process for controlling the energy performance of an industrial unit, in which process: the value of a set (V) of variables relating to the industrial unit and to the environment are measured, as is the value of a quantity representing the energy performance (W), an estimate (We) of the quantity representing the energy performance is calculated, the value of an energy performance indicator (TE, TE+) is determined and the value of this indicator is compared with at least one threshold value (S) determined so as to detect a drift in the energy performance. The invention proposes the learning of a model based on the best energy performance (W) observed for each value of a set (V) of input variables and in the proposing in real time to the operator of a best configuration and of best settings (CR) of the equipment based on those associated with this best energy performance (W) observed in the past for the current value of the set (V) of input variables.

Abstract: Method of tracking the performance of an industrial appliance (E), in which an estimate (We) of the quantity representing the electrical power consumed is calculated, in real-time, using the model (M), based on the values of the set (F) of operating parameters of the industrial appliance (E), the difference between the measured value (W) of the electrical power consumed (W) and the estimated value (We) provided by the model (M) is calculated, to obtain the overconsumption value, based on a statistical test on the overconsumption variable, using the distribution of this variable, an overconsumption score is deduced from this corresponding to a probability of overconsumption (p1) and an alarm is triggered if the probability of overconsumption (p1) exceeds a given overconsumption probability threshold (sp1), so constituting an overconsumption indicator.

Abstract: A method for controlling a cryogenic distillation unit, for example an air separation unit or a unit for separating a mixture having hydrogen and carbon monoxide as its main components is presented.

Abstract: Method of tracking the performance of an industrial appliance (E), in which an estimate (We) of the quantity representing the electrical power consumed is calculated, in real-time, using the model (M), based on the values of the set (F) of operating parameters of the industrial appliance (E), the difference between the measured value (W) of the electrical power consumed (W) and the estimated value (We) provided by the model (M) is calculated, to obtain the overconsumption value, based on a statistical test on the overconsumption variable, using the distribution of this variable, an overconsumption score is deduced from this corresponding to a probability of overconsumption (p1) and an alarm is triggered if the probability of overconsumption (p1) exceeds a given overconsumption probability threshold (sp1), so constituting an overconsumption indicator.

Abstract: Process for controlling the energy performance of an industrial unit, in which process: the value of a set (V) of variables relating to the industrial unit and to the environment are measured, as is the value of a quantity representing the energy performance (W), an estimate (We) of the quantity representing the energy performance is calculated, the value of an energy performance indicator (TE, TE+) is determined and the value of this indicator is compared with at least one threshold value (S) determined so as to detect a drift in the energy performance. The invention proposes the learning of a model based on the best energy performance (W) observed for each value of a set (V) of input variables and in the proposing in real time to the operator of a best configuration and of best settings (CR) of the equipment based on those associated with this best energy performance (W) observed in the past for the current value of the set (V) of input variables.

Abstract: A method and an apparatus for automatically monitoring the performance of industrial equipment during its operation. During this monitoring, various operating parameters of the equipment are measured, a performance factor representative of the equipments operation is calculated, and information is indicated to a user as a function of the performance factor. Automatic calibration of the performance factor calculation may be performed at the request of a user.

Abstract: The invention relates to a method for automatically monitoring the performance of industrial equipment comprising a compressor. According to the inventive method, operating parameters of said industrial equipment, including at least the gas flow (Q) in the compressor, the pressure (Pin) of the gas entering the compressor, the pressure (Pout) of the gas leaving the compression, the temperature (TrEfr) of the coolant of the compressor, are measured. Automatic calibration subsequently occurs for a calculation rule in order to predict the performance factor and to detect a deterioration of the state of the industrial equipment. The invention can be applied to the production of gas from air.