Abstract: A method may include monitoring, for two or more well heads of a hydraulic fracturing system, an operation or a state of one or more subsystems of the hydraulic fracturing system. The hydraulic fracturing system may include one or more fracturing rigs, one or more blending equipment, one or more power sources electrically connected to a first subset of the one or more fracturing rigs, or one or more fuel sources fluidly connected to a second subset of the one or more fracturing rigs, and one or more missile valves. The hydraulic fracturing system may further include one or more zipper valves, one or more well head valves, and multiple well heads. The method may further include controlling, based on an operation schedule for the hydraulic fracturing system and based on monitoring the operation or the state, fluid pressures at the two or more well heads for continuous pumping.

Abstract: A method may include receiving information related to operation or a configuration of a hydraulic fracturing system. The hydraulic fracturing system may include a plurality of electric power source outputs and a plurality of hydraulic fracturing rigs. The method may further include performing, based on the information, asymmetric power management of the plurality of electric power source outputs. The method may further include performing, based on the information, asymmetric load management of the plurality of hydraulic fracturing rigs.

Abstract: A method may include monitoring an operation or a state of one or more subsystems of a hydraulic fracturing system. The hydraulic fracturing system may include one or more fracturing rigs, one or more blending equipment, and one or more power sources electrically connected to a first subset of the one or more fracturing rigs, or one or more fuel sources fluidly connected to a second subset of the one or more fracturing rigs. The hydraulic fracturing system may further include one or more missile valves, one or more zipper piping and zipper valve sets, one or more well head valves, and one or more well heads. The method may further include controlling, based on monitoring the operation or the state, the one or more subsystems within operating limits or based on operating expectations to cause or prevent an occurrence of one or more well integrity-related events.

Abstract: A method may include monitoring, for two or more well heads of a hydraulic fracturing system, an operation or a state of one or more subsystems of the hydraulic fracturing system. The hydraulic fracturing system may include one or more fracturing rigs, one or more blending equipment, one or more power sources electrically connected to a first subset of the one or more fracturing rigs, or one or more fuel sources fluidly connected to a second subset of the one or more fracturing rigs, and one or more missile valves. The hydraulic fracturing system may further include one or more zipper valves, one or more well head valves, and multiple well heads. The method may further include controlling, based on an operation schedule for the hydraulic fracturing system and based on monitoring the operation or the state, fluid pressures at the two or more well heads for continuous pumping.

Abstract: A method may include receiving information related to operation or a configuration of a hydraulic fracturing system, The hydraulic fracturing system may include one or more fracturing rigs, one or more blending equipment, and one or more power sources electrically connected to a first subset of the one or more fracturing rigs, or one or more fuel sources fluidly connected to a second subset of the one or more fracturing rigs. The hydraulic fracturing system may further include one or more missile valves, one or more zipper valves, one or more well head valves, and one or more well heads. The method may further include optimizing the operation of one or more subsystems of the hydraulic fracturing system using a particle swarm algorithm. The method may further include outputting one or more control signals to the one or more subsystems based on optimizing the operation.

Abstract: A method may include monitoring, for a well head of a hydraulic fracturing system, an operation or a state of one or more subsystems of the hydraulic fracturing system. The hydraulic fracturing system may include one or more fracturing rigs, one or more blending equipment, and one or more power sources electrically connected to a first subset of the one or more fracturing rigs, or one or more fuel sources fluidly connected to a second subset of the one or more fracturing rigs. The hydraulic fracturing system may further include one or more missile valves, one or more zipper valves, one or more well head valves, and one or more well heads. The method may further include controlling, based on an operation schedule for the hydraulic fracturing system and based on monitoring the operation or the state, the state or equipment changes.

Abstract: A method may include monitoring, for a well head of a hydraulic fracturing system, an operation or a state of one or more subsystems of the hydraulic fracturing system. The hydraulic fracturing system may include one or more fracturing rigs, one or more blending equipment, and one or more power sources electrically connected to a first subset of the one or more fracturing rigs, or one or more fuel sources fluidly connected to a second subset of the one or more fracturing rigs. The hydraulic fracturing system may further include one or more missile valves, one or more zipper valves, one or more well head valves, and one or more well heads. The method may further include controlling, based on an operation schedule for the hydraulic fracturing system and based on monitoring the operation or the state, the state or equipment changes.

Abstract: A method may include receiving information related to operation or a configuration of a hydraulic fracturing system, The hydraulic fracturing system may include one or more fracturing rigs, one or more blending equipment, and one or more power sources electrically connected to a first subset of the one or more fracturing rigs, or one or more fuel sources fluidly connected to a second subset of the one or more fracturing rigs. The hydraulic fracturing system may further include one or more missile valves, one or more zipper valves, one or more well head valves, and one or more well heads. The method may further include optimizing the operation of one or more subsystems of the hydraulic fracturing system using a particle swarm algorithm. The method may further include outputting one or more control signals to the one or more subsystems based on optimizing the operation.

Abstract: A method may include receiving power supply-related information, cost-related information, power demand-related information, and operational priority or site configuration-related information associated with hydraulic fracturing rigs. The hydraulic fracturing rigs may be each associated with a fuel consumption component or an emissions component. The method may further include receiving operational data and determining operational parameters based on the operational data and emissions output predictions for the hydraulic fracturing rigs. The method may further include outputting the operational parameters to a computing device or a controller. The method may further include, based on outputting the operational parameters, receiving operational feedback data and determining whether to modify the operational parameters.

Abstract: A method may include receiving information related to operation or a configuration of a hydraulic fracturing system. The hydraulic fracturing system may include a plurality of electric power source outputs and a plurality of hydraulic fracturing rigs. The method may further include performing, based on the information, asymmetric power management of the plurality of electric power source outputs. The method may further include performing, based on the information, asymmetric load management of the plurality of hydraulic fracturing rigs.

Abstract: A method may include receiving power supply-related information, cost-related information, power demand-related information, and operational priority or site configuration-related information associated with hydraulic fracturing rigs. The hydraulic fracturing rigs may be each associated with a fuel consumption component or an emissions component. The method may further include receiving operational data and determining operational parameters based on the operational data and emissions output predictions for the hydraulic fracturing rigs. The method may further include outputting the operational parameters to a computing device or a controller. The method may further include, based on outputting the operational parameters, receiving operational feedback data and determining whether to modify the operational parameters.

Abstract: A system and method for charging a plug-in electric vehicle are disclosed. The system includes a plug-in electric vehicle having a frame, a rechargeable battery pack, a vehicle inlet, a positioning module, and a first communication module; and a battery charging station having a plurality of connectors, an actuation mechanism, and a second communication module. The battery charging station is in operative communication with the PEV, can anticipate an arrival of the PEV, and can ready a connector corresponding to the PEV's vehicle inlet type. The method includes monitoring one or more characterising parameters of a PEV, determining that the PEV needs charging, routing the PEV to a battery charging station, transmitting forecasting information and an identity of the PEV to the battery charging station, and charging the PEV at the battery charging station.

Abstract: A system for detecting wear or failure of a genset coupling of a genset power system is provided. The system includes a vibration sensor for measuring vibrations, and an additional sensor for measuring an operating condition. A controller is configured to process operating condition data from the additional sensor using a modeling software to generate simulated data. The controller applies time domain information of at least one of the simulated data and vibration sensor data to the modeling software using a machine learning algorithm, and perform a comparison to identify wear or failure of the coupling, wherein, when performing the comparison, the controller compares at least one of: time domain information of the vibration sensor data to time domain information of the simulated data or frequency domain information of the vibration sensor data to frequency domain information of the simulated data, to identify wear or failure of the coupling.

Abstract: A power system having a plurality of gensets compares the instantaneous power consumption with a plurality of power consumption zone boundaries and classifies the power consumption into a selected zone. Each zone includes a corresponding base power value and a corresponding dynamic range value, which are apportioned among the plurality of gensets.

Abstract: An electrical power system includes a plurality of generator sets (gensets) having different response capabilities which are connected to a common bus that is coupled to an electrical load. The gensets may be operatively associated with one or more electronic controllers. Each genset has an operational range applied to it and a power target set for it. In the event of a change in the power demand by the electrical load, the operational ranges and the power target setting are changed according to the response capabilities of the individual gensets. To facilitate the change, the faster responding genset can operate intermittently according to various methods to generate additional power to compensate for the power deficiency of the slower responding genset as it adjusts to its changed settings.

Abstract: A power system having a plurality of gensets compares the instantaneous power consumption with a plurality of power consumption zone boundaries and classifies the power consumption into a selected zone. Each zone includes a corresponding base power value and a corresponding dynamic range value, which are apportioned among the plurality of gensets.

Abstract: A control system, apparatus, and method to control load sharing of multiple generator sets of a power supply system are described. Load transient set points to add an individual generator set can include a transient percentage threshold to characterize load transients as a load transient, a transient count threshold, and a transient count time period during which a detected number of load transients is compared with the transient count threshold. A controller can determine whether to add the individual generator set based on whether the detected number of load transients is equal to the transient count threshold within the transient count time period and control addition of the individual generator set responsive to the detected number of load transients equaling the transient count threshold.