Apparatus and methods for recovering energy in a petroleum, petrochemical, or chemical plant as described. The invention relates to a recovered electric power measuring system comprising at least one processor; at least one memory storing computer-executable instructions; and at least one receiver configured to receive data from a sensor on an electrical powerline connected to a generator of a power-recovery turbine, the power-recovery turbine located in a petroleum, petrochemical, or chemical process zone wherein a portion of a first process stream flows through the power-recovery turbine and generates recovered electric power as direct current, the power-recovery turbine electrically connected to a single DC to AC inverter and the output of the DC to AC inverter electrically connected to a first substation.

A method of generating a customized secondary power distribution assembly (SPDA) includes generating one or more customizable SPDAs. Each of the one or more customizable SPDAs is a construct corresponding with a microprocessor configured to control a set of customizable channels in each of a set of virtual line replaceable modules (vLRMs). The method also includes creating a mapping between one of the one or more customizable SPDAs and the customized SPDA, the mapping indicating line replaceable modules (LRMs) of the customized SPDA and defining each channel of each LRM, and deploying the customized SPDA in an application. The microprocessor is initiated to control the customized SPDA according to the mapping at startup.

A building manager includes a communications interface configured to receive information from a smart energy grid. The building manager further includes an integrated control layer configured to receive inputs from and to provide outputs to a plurality of building subsystems. The integrated control layer includes a plurality of control algorithm modules configured to process the inputs and to determine the outputs. The building manager further includes a fault detection and diagnostics layer configured to use statistical analysis on the inputs received from the integrated control layer to detect and diagnose faults. The building manager yet further includes a demand response layer configured to process the information received from the smart energy grid to determine adjustments to the plurality of control algorithms of the integrated control layer.

A method may include obtaining irradiance data at a first time and a second time from sensors, determining whether one or more solar modules of a plurality of networked power plants will be covered by a shadow or shade at a third time based on the irradiance data, and generating, based on the determination, a power output prediction for each power plant of the networked power plants at the third time. The method may further include receiving power delivery profiles for first and second loads, adjusting a power output of one or more power plants of the networked power plants based at least in part on the power output prediction and the power delivery profiles for the first and second loads, and allocating a combined power output of the power plants to the first and second loads based on first and second load reliability thresholds.

A server performs a process including: when the server receives a second DR execution instruction, the step of obtaining a vehicle list; the step of turning off a determination flag of each candidate vehicle; the step of obtaining a number of times of turning on and off a relay at a time of DR for one of candidate vehicles each showing a determination flag in an OFF state; when the number of times of turning on and off the relay is greater than a threshold value, the step of turning on an exclusion flag; the step of performing a notification process; when a determining process ends, the step of performing a process of allocating a DR amount; and the step of transmitting a DR signal.

A system that detects temperature and current events in a power grid is provided. The system includes at least one sensor associated with an electric meter; a plurality of bus bars connected to the electric meter; at least one temperature sensor uniquely associated with each of the plurality of bus bars; and at least one current sensor uniquely associated with each of the plurality of bus bars. The system detects a plurality of temperatures and/or currents and compares the detected plurality of temperatures and/or currents to expected thresholds or threshold ranges for temperatures and/or currents in the system to provide a comparison result and determines if a notification related to temperature and/or current events in the system should be sent based on the comparison result.

A system for controlling and monitoring electrical energy loads includes a current transducer configured to monitor values of electrical current in the system, wherein neutral and ground lines are monitored via separate current transducers. Additionally, the system includes a centralized programable logic controller (PLC) configured to receive measured values from the current transducer in real time and a local PLC configured to receive the measured values from the centralized PLC. Further, the local PLC periodically compares the measured values of the electrical energy with predetermined thresholds and automatically redistributes the electrical energy to electrical energy loads among three phases based on the comparison.

An energy management device according to an embodiment of the present invention comprises: a communication unit for receiving energy information of a system to which the energy management device belongs; a display unit for displaying any one energy information icon on the basis of the received energy information; and a control unit for displaying at least one energy information icon corresponding to a lower level of the energy information icon upon receiving a command to select an expansion icon corresponding to the energy information icon, and connecting the energy information icon having the selected expansion icon and the energy information icon corresponding to the lower level to energy nodes having different thickness according to the amount of energy.

A method may include obtaining irradiance data at a first time and a second time from sensors, determining whether one or more solar modules of a plurality of networked power plants will be covered by a shadow or shade at a third time based on the irradiance data, and generating, based on the determination, a power output prediction for each power plant of the networked power plants at the third time. The method may further include receiving power delivery profiles for first and second loads, adjusting a power output of one or more power plants of the networked power plants based at least in part on the power output prediction and the power delivery profiles for the first and second loads, and allocating a combined power output of the power plants to the first and second loads based on first and second load reliability thresholds.

Systems include one or more critical datacenter connected to behind-the-meter flexible datacenters. The critical datacenter is powered by grid power and not necessarily collocated with the flexboxes, which are powered “behind the meter.” When a computational operation to be performed at the critical datacenter is identified and determined that it can be performed at a lower cost at a flexible datacenter, the computational operation is instead routed to the flexible datacenters for performance. The critical datacenter and flexible datacenters preferably shared a dedicated communication pathway to enable high-bandwidth, low-latency, secure data transmissions.