An energy management system of the present invention can measure and integrate a power consumption amount of each device, can integrate and monitor regional total power consumption amounts, and allows energy to be effectively used by collecting, analyzing, storing and transmitting a use pattern and data through the Internet of Things (IoT) between devices and completely and automatically cutting off and controlling the power to be wasted in a device when the device is not used. The energy management system remotely controls devices and allows energy to be effectively managed through the minimization of power consumption by automatically and completely cutting off the power to be supplied to the devices when the devices are not used, and by cutting off the power to be supplied to the system when the power of all the devices connected to the system is cut off and when the system is in standby.

A method of controlling at multiple customer sites with separate metering electrical devices to control consumption of electricity in an electricity supply web made up of multiple electricity using customers that is over laid on a physical network, comprising the steps of: acquiring a budget for electrical energy for use in a predetermined time period; monitoring real-time use of electrical energy by electrical devices in the overlay web; comparing real-time use of electrical energy with the budget; and sending a control signal to at least one electrical device in the overlay web, based on the comparison, in order to increase or decrease electrical load so that total energy use in the predetermined time period is balanced with the budget. Also disclosed is an apparatus for controlling at least one electrical device in an electricity supply web made up of multiple electricity using customers.

An electric power control system for controlling supply and consumption of electric power in a system power supply, a storage battery and an electric power load, said electric power control system including: an estimated value correction unit configured to obtain a difference between a past power control estimated value and a past actual performance value, and to shift a power control estimated value obtained as a result of estimation in a predetermined period to an extent corresponding to said difference, thereby correcting the power control estimated value, wherein said past power control estimated value is a value obtained as a result of estimation performed in a past time relative to said predetermined period, and said past actual performance value is a value obtained as an actual result in the past time; and a power control unit configured to control supply and consumption of electric power in the system power supply, the storage battery, and the electric power load, based on the power control estimated value corrected by the estimated value correction unit.

The present disclosure is directed to energy storage and supply management system. The system may include one or more of a control unit, which is in communication with the power grid, and an energy storage unit that stores power for use at a later time. The system may be used with traditional utility provided power as well as locally generated solar, wind, and any other types of power generation technology. In some embodiments, the energy storage unit and the control unit are housed in the same chassis. In other embodiments, the energy storage unit and the control unit are separate. In another embodiment, the energy storage unit is integrated into the chassis of an appliance itself.

A method for distributing energy in a home energy management system including a central unit, at least one energy source and at least one energy consumer that are interconnected to exchange information. According to the method, the central unit generates information containing a first price information element and a first energy quantity information element for a predefined time period; the central unit transfers the information to the energy consumer; the energy consumer, taking account of the information, determines requirement information containing at least one requested energy quantity for the predefined time period; the energy consumer transfers the requirement information to the central unit; the central unit checks whether, at any given time, the total requested energy quantity determined from the transferred requirement information exceeds the energy quantity available at this time; and the central unit transfers confirmation information to the energy consumer or the method is carried out again.

A micro-network includes at least two heating appliances with communication modules, one being used for obtaining and transmitting a first data set having at least one measurement related to the electricity consumption of the heating appliance, at least one measurement related to the electricity production of same and at least one measurement related to a state of charge of an electrical energy storage device, and subsequently controlling the power supply to the heating member. The other module is used for obtaining, and transmitting to a supervision module, first and second data sets including at least one item of data relating to an electrical power source, and subsequently transmitting a first setpoint state of charge related to the state of charge of the electrical energy storage device of the other heating device. The first setpoint state of charge is taken into account when controlling the power supply to the heating member.

A smart energy storage system is described. The system includes a smart energy storage unit coupled to a selected circuit of a local electric grid, and configured for being charged so as to withdraw and store energy from the local electric grid, and discharged for supplying energy to the local electric grid. The smart energy storage unit includes an energy storage cell configured for being charged so as to withdraw and store energy from the local electric grid, and discharged for supplying energy to the local grid, and a storage cell management unit for controlling the energy storage cell.

An appliance management method is designed to make power distribution equipment, provided on a power supply channel, control and/or monitor an appliance to be electrically connected to the power distribution equipment. The appliance management method includes an authentication step and a management step. The authentication step includes allowing a high-order system to perform authentication on the power distribution equipment by making the power distribution equipment access the high-order system via a public network after the power distribution equipment has been energized. The management step includes making the power distribution equipment that has been authenticated in the authentication step control and/or monitor the appliance.

A safe energy supply unit (1) and system, for supplying an electrical device (8) in an explosion-proof area, transmits power from an energy source (9), including a plurality of galvanically isolated individual sources, with a multiple line connection (2) with a plurality of galvanically isolated and individually shielded conductor pairs (31, 32, 33, 34). A collector device (4), in an explosion-proof jacket (5) at an end of the multiple line (3), has uncoupling devices (45) for the galvanically isolated conductor pairs and a combiner circuit (47, 49) that combines the transmitted electric power from each line into a global power. The global power is outputted at an output (48) of the collector device to the electrical device. The conductor pairs allow for an increased global power, which is scalable, safely transmittable, with standard, conductor pairs. The electrical device is intrinsically safely supplied with high power with minimal effort.

A building energy system includes HVAC equipment, green energy generation, a battery, and a predictive controller. The HVAC equipment provide heating or cooling for a building. The green energy generation collect green energy from a green energy source. The battery stores electric energy including at least a portion of the green energy provided by the green energy generation and grid energy purchased from an energy grid and discharges the stored electric energy for use in powering the HVAC equipment. The predictive controller generates a constraint that defines a total energy consumption of the HVAC equipment at each time step of an optimization period as a summation of multiple source-specific energy components and optimizes the predictive cost function subject to the constraint to determine values for each of the source-specific energy components at each time step of the optimization period.