Systems and methods are provided for adjusting a composition, pressure, and/or flow rate of a mixed refrigerant (MR) fluid in a liquefaction system to provide refrigeration to natural gas (NG) feedstock to produce liquefied natural gas (LNG). The MR fluid that is in circulation within a liquefaction system can include heavy components and light components. During LNG production, heavy components and/or light components of the MR fluid can be selectively removed from, and reintroduce into the MR fluid, thereby altering the composition of the remaining MR fluid in circulation. Adjusting the composition of the MR fluid in circulation within a liquefaction system can allow the system to be optimized to maximize efficiency, LNG production, and or profitability while the system is in operation.

A method and controller compensates control variables of a continuous process prior to the control variables being input to the controller/control matrix to at least partially mask the effect of a selected disturbance or a manipulated variable on that controlled variable to the controller. The controlled variable(s) has been chosen to be an inference of a desired underlying or related variable which is not directly measurable. The selected disturbance to be masked is one which does affect the (measured) controlled variable, but not the underlying desired variable. By at least partially masking the effect to all intents and purposes the controller is unaware of the effect of the selected disturbance on the controlled variable and therefore, for a fully masked disturbance, does not make any adjustment to a manipulated variable associated with the selected disturbance which would unnecessarily alter the underlying desired variable. In the event of a partially masked disturbance there will be some modification of the manipulated variable in comparison to that which would occur in the absence of the method.

Provided is an operation analysis method for a production plant (1), including: acquiring, with use of a Doppler LIDAR (5), a distribution of three-dimensional wind condition data at positions of an upper space of the production plant (1) and a surrounding space thereof including an arrangement region for an air-cooled heat exchanger (2); acquiring environment data indicating a state of a natural environment that affects operation of the air-cooled heat exchanger (2); and learning, through a numerical analysis with use of a computer, based on a distribution of the three-dimensional wind condition data and on the environment data, a correspondence between a distribution pattern of the three-dimensional wind condition data and the environment data.

A method and controller compensates control variables of a continuous process prior to the control variables being input to the controller/control matrix to at least partially mask the effect of a selected disturbance or a manipulated variable on that controlled variable to the controller. The controlled variable(s) has been chosen to be an inference of a desired underlying or related variable which is not directly measurable. The selected disturbance to be masked is one which does affect the (measured) controlled variable, but not the underlying desired variable. By at least partially masking the effect to all intents and purposes the controller is unaware of the effect of the selected disturbance on the controlled variable and therefore, for a fully masked disturbance, does not make any adjustment to a manipulated variable associated with the selected disturbance which would unnecessarily alter the underlying desired variable. In the event of a partially masked disturbance there will be some modification of the manipulated variable in comparison to that which would occur in the absence of the method.

An apparatus and process for processing of a fluid (e.g. hydrogen) for liquefaction can permit a reduction in power consumption and also an improvement in operational efficiency in flexibility. Embodiments can be configured to account for large variations in feed to be provided for liquefaction and also permit operational cost reductions associated with liquefaction processing so the overall power consumption and operational cost for liquefaction can be greatly reduced while also providing improved operational flexibility. For instance, embodiments can be configured to feed a fluid to multiple liquefiers of a train of liquefiers based on a pre-selected set of feed routing criteria for improving power consumption and providing greater operational flexibility for liquefaction operations.

The invention relates to: a method for monitoring a process engineering installation, in which a model of the process engineering installation is used to ascertain values of at least one performance parameter of the process engineering installation from actual values of at least one operating parameter of the process engineering installation that occur during operation of the process engineering installation, wherein the model is used to ascertain comparison values of the at least one performance parameter of the process engineering installation from setpoint values of the at least one operating parameter, and wherein mutually corresponding values and comparison values of the at least one performance parameter are taken as a basis for ascertaining at least one performance gap in the operation of the process engineering installation and to a process engineering installation.

A compressed vaporous discharge stream is de-superheated in a de-superheater system. The de-superheater system comprises a de-superheater heat exchanger configured to bring at least a portion of the compressed vaporous discharge stream in indirect heat exchanging contact with an ambient stream. A de-superheater bypass line comprising an temperature-controlled valve is configured to selectively bypass the de-superheater heat exchanger. A combiner is configured downstream of the de-superheater heat exchanger for rejoining the bypass portion with the portion of the compressed vaporous discharge stream that has passed through the de-superheater heat exchanger. A mixer is configured downstream of said combiner, to receive and mix the rejoined stream, and discharge the rejoined stream into a de-superheater discharge conduit as a de-superheated stream.

A method for determining an operating condition of a liquefied natural gas plant (2) includes preparing a training model (88) generated by machine learning using training data in which operating conditions data including a composition of a feed gas, a composition of a mixed refrigerant, and an ambient temperature and operation result data including a production efficiency of a liquefied product containing liquefied natural gas and a heavy component of the feed gas are associated together; and determining, as one new operating condition, a composition of the mixed refrigerant that optimizes a production efficiency of the liquefied natural gas predicted by the training model (88) from a latest composition of the feed gas in the liquefied natural gas plant (2) and a latest ambient temperature.

The present invention relates to a single cycle mixed refrigerant process for industrial cooling applications, for example, the liquefaction of natural gas. The present invention also relates to a refrigeration assembly configured to implement the processes defined herein and a mixed refrigerant composition usable in such processes.

Methods and systems include, using a monitoring system, initiating a control logic configured to control a production control system pertaining to a refrigeration system connected to a plurality of production trains. The method may include obtaining a plurality of production parameters; calculating, using the plurality of production parameters, an isentropic efficiency value for the primary compressor if the production flow rate is less than a production threshold; comparing each of the plurality of isentropic efficiency values; determining from the comparing each of the plurality of isentropic efficiency values, a primary compressor having a lowest isentropic efficiency value; selecting the respective primary compressor having the lowest isentropic efficiency value. The method may include, using a production control system, shutting down the selected primary compressor.