Abstract: The unexpected failure of a turbomachine can be costly and dangerous. Processes may collect data from a turbomachine, calculate durations of machine events from the collected data, and apply a model to those machine-event durations to predict future machine-event durations and/or detect trends in the machine-event durations. This predictive output may be utilized to inform downstream functions regarding the health of the turbomachine. For example, a downstream function may utilize the predictive output to detect degradation or a potential future failure in the turbomachine and trigger remedial functions, such as alerts and/or controls, to prevent or mitigate the degradation or failure of the turbomachine.

Abstract: Provided herein are techniques for managing charging stations with diverse communication capabilities. A system for EVSE management may include a first communication controller in communication with a first network to communicatively couple to a central control system, a second communication controller in communication with a second network to communicatively couple to a first EVSE charger, and a third communication controller in communication with a third network to communicatively couple to a second EVSE charger.

Abstract: Certain aspects of the present disclosure provide techniques for providing edge hardware system for distributed energy resources. One embodiment of a system includes a core device that is deployed in an edge environment of a site, the core device causing the edge hardware system to communicate with a cloud environment to acquire current optimization and load management set points for a charging station, dispatch the current optimization and load management set points through a local communications protocol via a local network to the charging station, and receive data from the charging station through the local network. In some embodiments, the core device causes the hardware system to communicate the data to the cloud environment via a wide area network and control charge and discharge parameters of an energy asset at the charging station using energy-related inputs.

Abstract: Certain aspects of the present disclosure provide a method for extending a personal area network, including: instantiating a plurality of network coordinators; instantiating a plurality of short-range networks (SRNs), each SRN of the plurality of SRNs being associated with a unique network coordinator of the plurality network coordinators; associating a remote device with a first SRN of the plurality of SRNs; transmitting data to the remote device via a communication adapter and the first SRN; and receiving data from the remote device via the communication adapter and the first SRN.

Abstract: Provided herein are techniques for managing charging stations with diverse communication capabilities. A system for EVSE management may include a first communication controller in communication with a first network to communicatively couple to a central control system, a second communication controller in communication with a second network to communicatively couple to a first EVSE charger, and a third communication controller in communication with a third network to communicatively couple to a second EVSE charger.

Abstract: Certain aspects of the present disclosure provide techniques for system for providing an electric vehicle (EV) computing platform that includes an edge environment located at a site that causes the system to perform actions that include receiving first charge data from the edge gateway in a first communication protocol, receiving second charge data from the edge gateway in a second communication protocol, and converting the first charge data and the second charge data into a common protocol. The actions further including creating a first session entry for the first charge session and a second session entry for the second charge session and solving a charge curve associated with the first charge session and the second charge session to determine a first charge to the first energy asset for usage of the first charging station and a second charge of the second energy asset for usage of the second charging station.

Abstract: The unexpected failure of a turbomachine can be costly and dangerous. Processes may collect data from a turbomachine, calculate durations of machine events from the collected data, and apply a model to those machine-event durations to predict future machine-event durations and/or detect trends in the machine-event durations. This predictive output may be utilized to inform downstream functions regarding the health of the turbomachine. For example, a downstream function may utilize the predictive output to detect degradation or a potential future failure in the turbomachine and trigger remedial functions, such as alerts and/or controls, to prevent or mitigate the degradation or failure of the turbomachine.

Abstract: A gas turbine engine system includes a gas turbine engine and a control system including sensors for monitoring operating properties of the engine, a signaling device that outputs a discrete switching signal indicative of an engine load change, such as connecting or disconnecting an electrical load in an electrical power system powered by the gas turbine engine, and an electronic control unit. The control unit calculates an engine load estimate based upon the switching signal, the operating properties, and statistical information in a recursive statistical estimator.

Abstract: A gas turbine engine system includes a gas turbine engine and a control system including sensors for monitoring operating properties of the engine, a signaling device that outputs a discrete switching signal indicative of an engine load change, such as connecting or disconnecting an electrical load in an electrical power system powered by the gas turbine engine, and an electronic control unit. The control unit calculates an engine load estimate based upon the switching signal, the operating properties, and statistical information in a recursive statistical estimator.