A method for designing a compressor operable to compress a refrigerant. The method may include determining operating conditions for the compressor. The method may also include weighting the operating conditions. The method further include determining a compressor volume ratio based on the refrigerant and the weighted operating conditions.

According to some embodiments, system and methods are provided, comprising providing a dual-mode model for a reciprocating compressor, wherein the model includes a measurement mode and a tuning mode; receiving one or more inputs to the model from an operating reciprocating compressor; and in response to receipt of the one or more inputs, executing the model in at least one of the measurement mode and the tuning mode, wherein: in a measurement mode, execution of the model further comprises calculating an actual flow rate of gas in the compressor based on the one or more inputs; and in a tuning mode, execution of the model further comprises calculating one of an unloader setting and a speed set point of a physical element of the compressor for a given flow rate of gas. Numerous other aspects are provided.

A compressed air system for a motor vehicle with an air supply system includes an electric drive motor, which can be controlled for variable speed, an air compressor coupled to be driven by the electric drive motor, an electric power supply for supplying electric power to the electric drive motor, at least one air reservoir connected with the air compressor to receive air from the air compressor, an air utilization system connected to the air reservoir to receive air from the air reservoir, and a controller to control the speed of the electric drive motor. The controller controls the electric drive motor to determine its speed depending upon at least one of the following signals: a signal representing the activation status of an accelerator pedal of the vehicle, a signal representing the speed of the vehicle, a signal representing the temperature of the power supply, a signal representing the temperature of the electric drive motor, a signal representing the wetness level of the air compressed by the air compressor, a signal representing the load of the air compressor, a signal representing the running time of the air compressor, or a signal representing the status of the electric power supply.

A motor of an ESP is positioned in a wellbore. Measured data is received from one or more sensors. A first deep learning model miming on a motor controller of the ESP determines first operating parameters or first operating conditions for the ESP based on the measured data. The motor controller sends the first operating parameters or first operating conditions to a centralized computer system. A second deep learning model miming on the centralized computer system determines second operating parameters or second operating conditions associated with the ESP based on the first operating parameters or first operating conditions. The centralized computer system sends the second operating parameters or second operating conditions to the motor controller. The motor controller adjusts operation of the motor of the ESP based on the second operating parameters or second operating conditions.

A method for operating a plurality of geographically distributed compressors, wherein the outputs of the geographically distributed compressors are coupled to a compressed air distribution system within an industrial automation environment, is provided. The method includes receiving performance data from the plurality of compressors, and receiving current environment data from a plurality of sensors within the industrial automation environment, including at least some sensors within the compressed air distribution system. The method also includes assigning a guide vane weight to each compressor based at least in part on a capacity of each compressor, identifying a target system air pressure, and processing the performance data, current environment data, guide vane weights, and target system air pressure to determine control settings for each of the plurality of compressors.

A variable displacement pump for supplying fluid to a system is described. Controlling the variable displacement pump is determined based upon inputs from a fluidic pressure sensor and an accelerometer, and includes determining a desired fluidic pressure and monitoring, via the fluidic pressure sensor, an actual fluidic pressure. A pressure error term is determined based upon a difference between the actual fluidic pressure and the desired fluidic pressure. A time-integrated pressure error term is determined based upon the pressure error term, and a g-force is determined based upon an input signal from the accelerometer. The variable displacement pump is controlled in response to the time-integrated pressure error term when the g-force is greater than a threshold g-force.

A method includes supplying a plurality of generators, each generator in electrical communication with a switchgear with each switchgear in data communication with a generator data management system. The method also includes supplying a plurality of electrically driven fracturing pumps with each electrically driven fracturing pump in data communication with pump data management system. Further, the method includes supplying a load shedding system, the load shedding system in data communication with the generator data management system and a pump control system, the pump control system in data communication with the pump data management system. The method includes determining which pumps should have speed reduced by the load shedding system and reducing the speed of the pumps determined by the load shedding system using the pump control system.

A dynamic compressor control is provided. The dynamic compressor control includes sensors to sense operating parameters of a compressor and a compressor analytic software package. The compressor analytic software package uses the sensed operating parameters of the compressor to generate key performance indicators. The key performance indicators are used to calculate process variables for the compressor. The dynamic compressor control uses the sensed operating parameters and the process variables calculated from the key performance indicators to provide operating alarms and/or shutdowns.

A compressed air system for a motor vehicle with an air supply system includes an electric drive motor, which can be controlled for variable speed, an air compressor coupled to be driven by the electric drive motor, an electric power supply for supplying electric power to the electric drive motor, at least one air reservoir connected with the air compressor to receive air from the air compressor, an air utilization system connected to the air reservoir to receive air from the air reservoir, and a controller to control the speed of the electric drive motor. The controller controls the electric drive motor to determine its speed depending upon at least one of the following signals: a signal representing the activation status of an accelerator pedal of the vehicle, a signal representing the speed of the vehicle, a signal representing the temperature of the power supply, a signal representing the temperature of the electric drive motor, a signal representing the wetness level of the air compressed by the air compressor, a signal representing the load of the air compressor, a signal representing the running time of the air compressor, or a signal representing the status of the electric power supply.

A controller for operating a rod pumping unit includes a processor configured to operate the rod pumping unit at a pumping profile speed. The processor is further configured to compute a first downhole dynamometer card from surface measurements at the rod pumping unit. The processor is further configured to compute a second downhole dynamometer card from the surface measurements. The processor is further configured to validate at least one of the first downhole dynamometer card and the second downhole dynamometer card based on a rod pumping unit condition.