To provide a hydrogen system operation planning device capable of accurately preparing an operation plan that achieves efficient operation in a hydrogen system. In the hydrogen system operation planning device of the embodiment, a classification unit receives input of DR commands regarding demand for electric power in the hydrogen system and classifies the input DR commands into a first DR group and a second DR group with a lower priority than the first DR group. A first planning unit prepares a first operation plan to reflect the DR command classified into the first DR group. A second planning unit prepares a second operation plan by reflecting contents of the DR command classified into the second DR group on the first operation plan so that contents of the DR command classified into the first DR group have priority over the contents of the DR command classified into the second DR group.

In accordance with at least one aspect of the present disclosure, there is provided a method for controlling power in an aircraft. The method includes, monitoring an electric energy storage module electrically connected to an electrical bus for an exceedance of a first current limit and monitoring a generator module connected to the electrical bus for an exceedance of a second current limit. If the current limit of either of the electric energy storage module or the generator module is exceeded by a predetermined exceedance amount, the method includes reducing a power consumption for an electric machine by a predetermined bias until the exceedance of the electrical energy storage and the exceedance of the generator module are both less than or equal to zero.

A powered building system that includes an electric power distribution system configured to distribute electrical power to a plurality of receptacles; one or more load sources; and one or more battery systems associated with: a respective receptacle of the plurality of receptacles and a respective load source of the one or more load sources.

Example computer-implemented methods, media, and systems for configuring an energy consuming system are described. One example computer-implemented method includes receiving, for each type of energy of multiple types of energy, data defining a set of parameters related to a capacity of the type of energy for a particular region. The capacity for each type of energy is converted into a common unit of energy using the set of parameters for each type of energy. A determination is made, by evaluating a model using at least on the capacity of two o1r more of the types of energy and a required amount for each of the two or more types of energy, an operational adjustment to one or more components of an energy consuming system that adjusts energy consumption of the one or more components. The one or more components are reconfigured according to the operational adjustment.

In a method for operating a soil-working machine, in particular a soil compactor, wherein the soil-working machine (10) comprises a plurality of consumers of electrical energy fed from an energy store (58), a load state of the energy store (58) is registered and when the presence of a state of excessive load of the energy store (58) is detected, at least one consumer of electrical energy is deactivated and/or the power consumption of at least one consumer of electrical energy is reduced, and/or consumers of electrical energy are put into operation with a time offset in order to avoid entering a state of excessive load of the energy store (58).

An example engine-driven power system includes: an engine; a generator configured to convert mechanical engine power to electrical power; first and second power subsystems configured to convert the mechanical or electrical power to first and second power outputs, wherein the first and second power subsystems are configurable to output the first and second power outputs simultaneously; an input device configured to control a load management priority, wherein the load management priority comprises at least one of an adjustable ranking, an adjustable balance, or bus voltage thresholds; and control circuitry configured to: control the first and second power subsystems to output the first and second power outputs based on first and second demands; and, in response to determining that a total demand exceeds a capacity, control the first or second power subsystems to reduce the power outputs or the demands based on the load management priority.

Systems, apparatuses, and methods are described for a smart energy home. The smart energy home may promote optimization of consumption of electricity by appliances and other consumer devices. Prioritization of where and when electricity may be provided to various appliances, chargers, or other devices which draw electrical power may be managed by the smart energy home. Information concerning prevailing weather conditions and contemporaneous electrical tariffs may be utilized in processes executed by the smart energy home. Related systems, apparatuses, and methods are also described.

In an example method, first electrical power is generated using one or more solar panels, and a water level rise of a sea is mitigated, at least in part, using a water processing system that is at least partially powered by the first electrical power. Mitigating the water level rise of the sea includes extracting saline water from the sea, desalinating the saline water, directing the desalinated water to one or more turbine generators, generating second electrical power using the one or more turbine generators, and directing the desalinated water from the one or more turbine generators into one or more aquifers. The one or more aquifers are hydraulically isolated from the sea.

A usage-based cost structuring system includes a computer-executable tool for obtaining, using a power monitor coupled to at least one of a plurality of equipment devices configured in a computing rack, ongoing power consumption measurements of the at least one equipment devices at ongoing intervals. Using the measurements, the instructions may estimate an energy consumption of the equipment device by combining the obtained power consumption measurements over a specified period of time, and determine a cost to be assessed to a user of the at least one equipment device according to the estimated energy consumption.

This intelligent portable energy storage system interlinked with an uninterruptible power supply comprises: an uninterruptible power supply including a power input terminal to which power is input from an external power source and an output terminal with which a load device is coupled; a plurality of output ports for coupling the load device; a communication module for receiving external data; and an energy storage device including an analysis processor for learning and analyzing the external data received by the communication module and the power consumption patterns of a user, wherein, when a power supply cutoff time is detected through the learning and analysis by the analysis processor, the energy storage device is cut off from regular charging received from the uninterruptible power supply and supplies power to the load device. The analysis processor provided in the energy storage device can analyze, through learning, power consumption patterns, environmental information, and/or disaster information, control the charging speed and/or charging amount of the energy storage device on the basis of such learning data, and control output according to the priority of the load device.