Abstract: According to one embodiment, an information integration control system includes a collector, a storage module and a generator. The collector collects infrastructure information concerning a social infrastructure, user information about a user who uses the social infrastructure, and management information of a manager who manages the social infrastructure and the user. The storage module stores the infrastructure information, the user information, and the management information which are collected. The generator generates control information for the social infrastructure based on the infrastructure information, the user information, and the management information which are stored in the storage module.

Abstract: According to an embodiment, management server includes estimator, scheduler, acquisition unit, monitoring unit, receiver and setting unit. Estimator calculates estimated value of energy demand in building with electric appliance. Scheduler creates schedule of appliance based on estimated value. Acquisition unit acquires actual value of energy demand. Monitoring unit monitors error between estimated value and actual value. Receiver receives DR signal containing information which prompts suppression of energy consumption in a designated period. Setting unit sets threshold. Estimator recalculates estimated value if error is equal or more than threshold. Scheduler reforms schedule based on the recalculated estimated value.

Abstract: An electricity trading system is provided which accomplishes an effect of reducing the risk of electricity tightness even if a large number of consumers participate a trading. The electricity trading system according to an embodiment of the present disclosure includes a bid acceptor accepting bid information containing a bidder ID, a bid sorting processor sorting buying bid information among the bid information accepted by the bid acceptor into multiple groups based on a preference or a bidder kind associated with the bidder ID, and a contracting processor performing a process of making a contract between a buying bid indicated by the buying bid information sorted in a first group among the multiple groups and a selling bid, and a process of making a contract between a non-contracted and left selling bid and a buying bid indicated by the buying bid information sorted in a following group.

Abstract: An optimized operating schedule is obtained while avoiding a complexity of formulation and optimization in response to an incentive type demand response. A device includes an energy predictor 10 setting a predicted value of energy of a control-target device 2 within a predetermined future period, a schedule optimizer 11 optimizing the operating schedule of the control-target device 2 within the predetermined period in accordance with a predetermined evaluation barometer, an incentive acceptance determiner 12 determining a time with a possibility that an incentive is receivable, an electricity suppressing schedule optimizer 13 optimizing, for a time with a possibility that the incentive is receivable, the operating schedule of the control-target device 2 based on a unit price of electricity fee having a unit price for calculating the incentive taken into consideration, and an adopted schedule selector 14 selecting either one of the operating schedules.

Abstract: According to an embodiment, server includes estimator, condition setter, calculator, receiver, and controller. Estimator estimates an energy demand in building where electrical apparatuses are equipped based on apparatus data. Condition setter sets energy consumption suppression conditions. Calculator calculates operation schedule of apparatuses which can optimize an energy balance in building based on the demand and condition. Receiver receives DR signal including energy consumption suppression condition. Controller controls the apparatuses based on operation schedule calculated based on the condition corresponding to that included in the DR signal.

Abstract: A device includes a setting unit setting a control target value for setting an activation, an operation, and a deactivation at a next day for control-target devices including an energy supplying device, an energy consuming device consuming energy, and an energy storage device storing energy, a predicting unit that sets a predicted value of the consumed energy of the energy consuming device at the next day based on a comparison between the control setting value set by the setting unit and a past control setting value, a start-stop optimizing unit that creates a start-stop schedule obtained by optimizing the start-stop schedule of the control-target device at the next day by an evaluation index, and a status-quantity optimizing unit that creates an electric/thermal energy storing schedule obtained by optimizing the status quantity of the control-target device to be activated by a predetermined evaluation index.

Abstract: According to one embodiment, an energy management system includes an energy supply device and an energy demand device. The energy management system comprises a first device, a second device, storage sections, calculating sections. The first device is applied for the energy supply device. The second device is applied for the energy demand device. The storage sections are included in the first device and the second device, respectively, and store a condition as to comply with an adjustment request of energy supplied from the energy supply device to the energy demand device. The calculating sections are included in the first device and the second device, respectively, and cooperate to execute negotiation function calculating an energy adjustment amount satisfying the condition.

Abstract: According to one embodiment, an energy management system is provided, which has the DSM function of controlling energy loads. The system has a database and a load adjustment range prediction unit. The unit predicts a load adjustment range by using the history data stored in the database and outputs the load adjustment range thus predicted.

Abstract: A power management system includes: customer terminals; and a power management apparatus connected to the customer terminals, wherein each of the customer terminals includes a weather forecast acquisition unit that acquires a local weather forecast for a corresponding customer terminal, and a power prediction unit that predicts a power consumption and an amount of power that can be reduced for a predetermined period based on the weather forecast, and the power management apparatus includes an integration processing unit that integrates the power consumptions and the amounts of power that can be reduced that are predicted for the respective customer terminals to calculate a total power consumption and a total amount of power that can be reduced for all of the customer terminals.

Abstract: According to one embodiment, an information integration control system includes a collector, a storage module and a generator. The collector collects infrastructure information concerning a social infrastructure, user information about a user who uses the social infrastructure, and management information of a manager who manages the social infrastructure and the user. The storage module stores the infrastructure information, the user information, and the management information which are collected. The generator generates control information for the social infrastructure based on the infrastructure information, the user information, and the management information which are stored in the storage module.

Abstract: According to one embodiment, a PMV estimating device calculates a PMV value from an average room radiation temperature, room temperature, room humidity, room air velocity, an amount of cloth worn by a person in the room, and an amount of activity of the person in the room. The PMV estimating device includes: indoor solar radiation calculator; solar radiated article temperature estimator; and average radiation temperature estimator. The indoor solar radiation calculator calculates an amount of solar radiation entered into the room. The solar radiated article temperature estimator estimates a temperature of a solar radiated article receiving the solar radiation entered into the room, by using the amount of solar radiation entered into the room calculated by the indoor solar radiation calculator. The average radiation temperature estimator estimates the average room radiation temperature by using the temperature of the solar radiated article estimated by the solar radiated article temperature estimator.

Abstract: According to one embodiment, an electrical quantity adjusting apparatus connected to an electrical facility includes a memory unit that stores a target level which is a target electrical quantity, a presenting level deciding unit that decides a presenting level to an exterior, the presenting level being an electrical quantity relating to the electrical facility and corresponding to at least a part at the target level, a presenting level output unit that outputs the presenting level decided by the presenting level deciding unit to the exterior via a communication network, a presenting level receiving unit that receives a presenting level from the exterior via the communication network, and an adjusting unit that adjusts the electrical quantity relating to the electrical facility based on the target level, the presenting level decided by the presenting level deciding unit, and the presenting level received by the presenting level receiving unit.

Abstract: According to one embodiment, a water demand optimization system includes a management terminal, a measuring apparatus, a demand information generating unit and a water-supply control apparatus. The management terminal drives customer equipment, which performs an operation using water, in a time zone in which a power unit rate is low. The measuring apparatus measures an amount of water used in a dwelling unit. The demand information generating unit generates water demand based on the amount of water. The water-supply control apparatus controls a pump in a manner to meet water demand and to minimize a treatment cost in a water purification plant and a cost for conveyance of clear water with reference to a variation in the power unit rate.

Abstract: Disclosed is a remote monitoring diagnostic system in which a center and monitoring diagnostic units of a number of objects to be monitored are connected by a network. The center includes an algorithm forming unit for forming algorithms for monitoring, diagnosing, and operating each object to be monitored, a program group formation unit for forming monitoring, diagnostic, and operational programs from these algorithms, a transmitter for transmitting the programs in response to a request from the monitoring diagnostic unit, and a unit for forming information concerning prevention/maintenance form a diagnostic result and monitoring data from the monitoring diagnostic unit of each object to be monitored. The monitoring diagnostic unit of each object to be monitored includes a mobile program execution processor for executing the corresponding object to be monitored, and a transmitter for transmitting monitoring data to the center.

Abstract: A power reserve margin trading system according to one embodiment includes a reserve margin trading unit, a determination unit, and a trading consideration distribution unit. The reserve margin trading unit acquires a power reducible amount of a customer, trades the reducible amount as a reserve margin for demand adjustment, and acquires a consideration. The determination unit determines a rank of each customer by giving a higher rank to a customer having a smaller difference between a predicted power demand amount and a power consumption amount. The trading consideration distribution unit distributes a consideration to customers so that a portion of the consideration to be distributed varies depending on whether or not the power reduction request is transmitted.

Abstract: An electric-power-generating-facility operation management support system includes an analyzing unit that calculates operation plan creating basic information based upon received information with regard to lifespan calculating expressions, present electric-power market information, and operation-history information with regard to an electric power generation. The electric-power-generating-facility operation management support system also includes an operation plan creating unit that calculates and outputs operational conditions of electric power generating facilities as a created operation planning based upon the operation plan creating basic information calculated by the analyzing unit. The analyzing unit includes a lifespan-consumption-costs calculating unit that calculates lifespan consumption costs of the electric power generating facilities. In addition, the analyzing unit includes a reserve-electric-power-price estimating unit that estimates a market price of reserve electric power.

Abstract: According to one embodiment, each of the nodes incorporated in the respective electrical apparatuses that constitute a local power system establishes a communication path connected to any adjacent node, transmits and receive average supply-and-demand state data to and from the adjacent node through the communication path. Each node adjusts (increases or decreases) the power to generate or consume in it, on the basis of the average supply-and-demand state data. Each node performs a supply-and-demand control of distributed and coordinated type, in which the average supply-and-demand state value is corrected based on the value by which the power has been adjusted (increased or decreased) and the average supply-and-demand state value thus corrected is supplied to the adjacent node through the connection path.

Abstract: An electric-power-generating-facility operation management support system includes a condition-input unit inputting costs of electric power generation in electric power generating facilities, probability distribution of predicted values of the demand for electric power, and probability distribution of predicted values of the transaction price of power on the market. An optimal-operational-condition calculating unit calculates the performance of power generation of the power generating facilities based upon the costs of power generation, the probability distribution of predicted values of the demand for power and the probability distribution of predicted values of the transaction price of power on the market, input from the condition-input unit so as to obtain the optimal operational conditions which exhibit the maximum performance of power generation A risk estimating unit calculates and estimates a risk value of damage of the optimal operation under the optimal operational conditions.

Abstract: According to one embodiment, a power consumption management system includes power consumption managers and a power supply manager. Each of the power consumption managers creates changeable power amount information with respect a planned value of power consumption for each predetermined time range in a preset predetermined period in future, the planned value being related to a load of each piece of equipment in a building as a monitoring target. The power supply manager is connected to each of the power consumption managers through a network, decides a power change request amount for each building based on the created changeable power amount information, and transmits the decided power change request amount to each of the power consumption managers for the purpose of notification.

Abstract: According to one embodiment, an energy management system includes an energy supply device and an energy demand device. The energy management system comprises a first device, a second device, storage sections, calculating sections. The first device is applied for the energy supply device. The second device is applied for the energy demand device. The storage sections are included in the first device and the second device, respectively, and store a condition as to comply with an adjustment request of energy supplied from the energy supply device to the energy demand device. The calculating sections are included in the first device and the second device, respectively, and cooperate to execute negotiation function calculating an energy adjustment amount satisfying the condition.