Kabushiki Kaisha Toshiba

Dai Murayama

Yasuo Takagi

Yutaka Iino

Masaaki Saito

Hiroshi Morimoto

Tomoyuki Kinoshita

Yuuichi Hanada

Hideyoshi Ootani

Nagako Hisada

Koubun Takahashi

Kenji Mitsumoto

Masahiko Murai

Nobutaka Nishimura

Shingo Tamaru

Kobun Takahashi

Makoto Honda

Koichi Ikeda

Makoto Takahashi

Koji Kimura

Yoshikazu Ooba

Nobuo Okita

Shuichi Yamaguchi

Akimasa Nakai

Toyohiro Akebi

Masuo Yamasaki

Yoji Kubo

Mikhail Rodionov

Yasuhiro Taguchi

Yukio Hiraoka

Yoichi Tone

Kazuhide Sato

Keiko Shimizu

Kazuo Takahata

Masaki Katsumata

Masaru Dejima

Kazunori Iwabuchi

Tsukasa Takeuchi

A schedule determination device includes an acquisitor, a setter, and a determiner. The acquisitor acquires indexes of an operation schedule of a device and constraint conditions of the indexes. The setter sets a second range, which is narrower than a first range set in the operation schedule before a change, as a range for values of variables that establish constraint conditions of indexes of a new operation schedule. The determiner determines the operation schedule of the device, using the variable values within the second range.

Schedule determination device and schedule determination program

A device operation setting apparatus includes a calculator and a determiner. The calculator calculates, based at least in part on a relationship between a setting value regarding operation control of a device and a consumed power of a device, a target value of the consumed power of the device. The determiner determines the setting value to cause that a difference between an actually measured consumed power of the device and the target value of the consumed power of the device calculated by the calculator is within a prescribed range.

Device operation setting apparatus and device operation setting value determination program

According to an embodiment, a thermal load estimating device receives actual power consumption of various types of devices installed in a room, a thermal load pattern of a time-series maximum thermal load of the room, and power consumption of the various types of devices in the room; estimates a thermal load of the room at appropriate time based on the actual power consumption, the thermal load pattern, and the power consumption; and outputs an estimated thermal-load value as a result of estimation.

Thermal load estimating device and air conditioning control system

In one embodiment, a power generation planning support apparatus includes an acquiring module configured to acquire a physical quantity that represents a startup condition of a turbine. The apparatus further includes a first storage module configured to store first information that represents a relationship between a startup schedule of the turbine and the physical quantity. The apparatus further includes a predicting module configured to predict the startup schedule of the turbine, based on the physical quantity acquired by the acquiring module and the first information stored in the first storage module. The apparatus further includes an outputting module configured to output the startup schedule predicted by the predicting module.

Power generation planning support apparatus and power generation planning support method

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.

Energy management server, energy management method, and medium

A received electric power reduction information calculation apparatus (corresponding to an example of a received energy reduction information calculation apparatus) has an energy predictor and a reduction information calculator. The energy predictor predicts a prediction amount of at least one of energy supply and energy consumption in a future prescribed time period with respect to at least one of an energy-supplying equipment and an energy-consuming equipment, based on a request for reduction of the received energy. The reduction information calculator calculates the reduction amount of the received energy associated with the prediction amount, based on an energy fee reflected from an expected fee of incentive with respect to the reduction request of the received energy.

Received energy reduction information calculation apparatus, received energy reduction information calculation method and program

An electric/thermal energy storage schedule optimizing device is provided. The electric/thermal energy storage schedule optimizing device includes a predicting unit setting predicted values of a consumed energy or a supplying energy of a plurality of control-target devices. The electric/thermal energy storage schedule optimizing device also includes a start-stop optimizing unit creating start-stop schedules of the plurality of control-target devices based on the predicted values set by the predicting unit.

Electric/thermal energy storage schedule optimizing device, optimizing method and optimizing program

An optimized operation schedule of a control-target apparatus is ensured while maximally reducing a burden share to a facility operator. An energy predictor sets, for a control-target apparatus, a predicted value of energy consumption or energy supply within a predetermined future time period based on process data. A schedule optimizer optimizes an operation schedule of the control-target apparatus within the predetermined time period with a predetermined evaluation barometer based on the predicted value, the characteristic of the control-target apparatus, and the process data. An approval request determiner determines a necessity of an approval for a latest operation schedule based on a preset determining condition. A determination result transmitter transmits a determination result by the approval request determiner.

Operation schedule optimizing device, method, and program with determination of whether to request user approval

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 setting a predicted value of energy of a control-target device within a predetermined future period, a schedule optimizer optimizing the operating schedule of the control-target device within the predetermined period in accordance with a predetermined evaluation barometer, an incentive acceptance determiner determining a time with a possibility that an incentive is receivable, an electricity suppressing schedule optimizer optimizing, for a time with a possibility that the incentive is receivable, the operating schedule of the control-target device based on a unit price of electricity fee having a unit price for calculating the incentive taken into consideration, and an adopted schedule selector selecting either one of the operating schedules.

Electricity suppressing type electricity and heat optimizing control device, optimizing method, and optimizing program

Electric power obtained by wind power generation is used effectively. A power generation system in an embodiment includes: a wind power generation apparatus; a solar thermal power generation apparatus; and an electrothermal converting unit. The solar thermal power generation apparatus includes: a heater heating a heating medium by solar heat; and a heat exchanger exchanging heat of the heating medium heated by the heater and heat of a working fluid to operate a drive mechanism of a power generator. The electrothermal converting unit converts part of electric power generated by the wind power generation apparatus into heat to heat the heating medium.

Power generation system including wind power generation and solar thermal power generation

In accordance with embodiments, a server room managing air conditioning system includes: a first coil; a second coil; and an air supply fan. The first coil adjusts returned air of a server room to a predetermined temperature value lower than a supplied air temperature target value and dehumidifies the returned air. The second coil adjusts the returned air of the server room to a predetermined temperature value higher than the supplied air temperature target value so that the supplied air temperature target value and a supplied air humidity target value can be achieved when the returned air is mixed with air adjusted by the first coil. The air supply fan mixes the returned air and supplies the mixed returned air as the supplied air to the server room.

Server room managing air conditioning system

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.

Energy management server, energy management method, and program

A battery controller has a holder, a calculator, an acquirer, a calculator, and a controller. The holder holds, at a predetermined time, a value of a received power supplied from an electrical power receiving system to equipment supplied with power from a rechargeable battery. A calculator calculates a difference between a present value of the received power and a last-held value of the received power last-held by the holder at the predetermined time. An acquirer acquires a command value of the received power for each predetermined time period defined by a predetermined time interval. A calculator calculates a limit value of the received power for each time that is shorter than the predetermined time, based on the command value of the received power for each predetermined time period. A controller controls charge and discharge in the rechargeable battery, based on the calculated difference and on the limit value.

Battery controller, management system, battery control method, battery control program, and storage medium

According to the embodiment, the air conditioning system for a server changes air conditioning control target values within a certain range when outside air and return air both have higher specific enthalpy than the target state and hence the mixed air of the outside air and the return air cannot be adjusted to air in the target state.

Air conditioning system and air conditioning control method for server room

A controller and indoor unit introducing outdoor air and/or return air from an air conditioning control target, and discharging introduced air to the air conditioning control target as supply air. The indoor unit includes a first space including an outdoor air introducing unit introducing outdoor air, a cooler, and a second space including a return air introducing unit introducing return air from the air conditioning control target. The controller, after determining air conditioning control on the air conditioning control target is necessary, introduces the outdoor air to the first space through the outdoor air introducing unit, subjecting such to cooling by the cooler and/or dehumidification to result in processed outdoor air, and introduces the return air to the second space through the return air introducing unit, where the processed outdoor air is mixed with the return air and supplied to the air conditioning control target as the supply air.

Growing community of inventors

Musashino, Japan

Dai Murayama