Abstract: This control device 10 comprises a model construction unit 11 that constructs a model for simulating a control object 20, a problem subdivision unit 12 that subdivides the model constructed by the model construction unit 11, a control measure calculation unit 13 that predicts the future status of the control object 20 using the model subdivided by the problem subdivision unit 12 and that calculates a control measure for the control object 20 on the basis of the predicted future status, and an operation command generation unit 14 that generates operation commands to the control object 20 on the basis of the control measure calculated by the control measure calculation unit 13.

Abstract: A rescheduling system performs rescheduling of passenger transports, some of which should be operated with priority and some of which should be operated ordinarily and includes a schedule prediction simulator unit adapted to create a forecast schedule in which a delay of a passenger transport has been incorporated into the planned schedule and create a modified schedule in which rescheduled objects in a timetable have been incorporated into the forecast schedule; and a rescheduling decision unit adapted to select passenger transports to be rescheduled using the planned schedule and the forecast schedule, determine the rescheduled objects in timetable with respect to the passenger transports to be rescheduled using a relationship between relative traveling positions of respective passenger transports, information relevant to advancing routes of the passenger transports, and other rescheduling history information, and give the determined rescheduled objects in the timetable to the schedule prediction simulator.

Abstract: A control parameter optimizing system and an operation optimizing apparatus equipped therewith are provided, the system being applicable to an existing plant without modifying the control panel or equipment of the plant, the system further being capable of optimizing the operation control of the plant in accordance with diverse operational requirements. The system includes an objective function setting section, a plant model, and a control parameter optimizing section. The control parameter optimizing section includes an optimization control parameter selecting section and an optimization control parameter adjusting section. The optimization control parameter selecting section selects as an optimization control parameter the control parameter for optimizing an objective function based on control logic information extracted from a power plant.

Abstract: Provided is a control parameter automatic-adjustment apparatus that adjusts a control parameter which is used when a control apparatus of a plant calculates an operational control signal, the apparatus including: a simulator that simulates operation of the plant; a learning unit that searches for an optimal control parameter using the simulator; and a knowledge database that stores knowledge information which associates an amount of change in the control parameter with an amount of change in a state of the plant, in which the learning unit includes a search range determination unit that determines a control parameter search range based on the knowledge information that is stored in the knowledge database.

Abstract: A control parameter optimizing system and an operation optimizing apparatus equipped therewith are provided, the system being applicable to an existing plant without modifying the control panel or equipment of the plant, the system further being capable of optimizing the operation control of the plant in accordance with diverse operational requirements. The system includes an objective function setting section, a plant model, and a control parameter optimizing section. The control parameter optimizing section includes an optimization control parameter selecting section and an optimization control parameter adjusting section. The optimization control parameter selecting section selects as an optimization control parameter the control parameter for optimizing an objective function based on control logic information extracted from a power plant.

Abstract: A control parameter optimizing system and an operation optimizing apparatus equipped therewith are provided, the system being applicable to an existing plant without modifying the control panel or equipment of the plant, the system further being capable of optimizing the operation control of the plant in accordance with diverse operational requirements. The system includes an objective function setting section, a plant model, and a control parameter optimizing section. The control parameter optimizing section includes an optimization control parameter selecting section and an optimization control parameter adjusting section. The optimization control parameter selecting section selects as an optimization control parameter the control parameter for optimizing an objective function based on control logic information extracted from a power plant.

Abstract: Provided is a control parameter automatic-adjustment apparatus that adjusts a control parameter which is used when a control apparatus of a plant calculates an operational control signal, the apparatus including: a simulator that simulates operation of the plant; a learning unit that searches for an optimal control parameter using the simulator; and a knowledge database that stores knowledge information which associates an amount of change in the control parameter with an amount of change in a state of the plant, in which the learning unit includes a search range determination unit that determines a control parameter search range based on the knowledge information that is stored in the knowledge database.

Abstract: A control parameter optimizing system and an operation optimizing apparatus equipped therewith are provided, the system being applicable to an existing plant without modifying the control panel or equipment of the plant, the system further being capable of optimizing the operation control of the plant in accordance with diverse operational requirements. The system includes an objective function setting section, a plant model, and a control parameter optimizing section. The control parameter optimizing section includes an optimization control parameter selecting section and an optimization control parameter adjusting section. The optimization control parameter selecting section selects as an optimization control parameter the control parameter for optimizing an objective function based on control logic information extracted from a power plant.

Abstract: Disclosed is a solar assisted combined cycle power plant having a compressor that pressurizes combustion air, a combustor that mixes and burns the combustion air and gas turbine fuel to generate a high-temperature combustion gas, a gas turbine that drives the compressor by using the combustion gas, an exhaust heat recovery steam generator that obtains steam from thermal energy of a gas exhausted from the gas turbine, and a steam turbine that is driven by using the steam obtained by the exhaust heat recovery steam generator. The solar assisted combined cycle power plant includes a solar collector to turn supplied water to warm water; a heat accumulator that stores pressurized hot water from the solar collector and the exhaust heat recovery steam generator; and a spray device that handles the pressurized hot water as spray water and sprays the spray water onto the air to be taken into the compressor.

Abstract: Provided is a gas turbine system capable of dealing with a request for output increase even when high-pressure hot water generated using solar thermal energy cannot be used according to the operating state of the gas turbine system. A gas turbine system which sucks in intake air from an air intake duct by a compressor and drives a gas turbine by combustion gas obtained by burning air and fuel by a combustor, said gas turbine system being provided with pipes for generating high-pressure hot water by providing a solar collecting tube that utilizes solar heat and spraying the high-pressure hot water into the intake air sucked in by the compressor, and pipes for spraying normal temperature water into the intake air sucked in by the compressor.

Abstract: It is an object of the present invention to provide a solar assisted gas turbine system that has a largely reduced number of heat collectors and a reduced installation area required for installation of the heat collectors. The solar assisted gas turbine system of the invention includes a gas turbine unit having a compressor for compressing air, a combustor for putting the air compressed by the compressor and a fuel into combustion, and a turbine driven by a combustion gas generated in the combustor; a heat collector for collecting solar heat and forming high-pressure hot water; a heat storage tank for storing the heating medium raised in temperature; a heat-exchanger for performing heat exchange between the heating medium and water to form hot water; and an atomizer by which the hot water formed by the heat-exchanger is sprayed into the air to be taken into the compressor.

Abstract: A thermal storage system 1 includes: heat transfer medium that absorbs the solar thermal energy; phase-change material 10a6 that is heat exchanged with the heat transfer medium; and first thermal storage tanks (stratified tanks 10a-10c) in which the phase-change material 10a6 is supported and through which the heat transfer medium flows, wherein a plurality of the first thermal storage tanks (stratified tanks 10a-10c) are present, and the first thermal storage tanks (stratified tanks 10a-10c) are connected in parallel for the heat transfer medium flowing through, when storing the solar thermal energy, while the first thermal storage tanks (stratified tanks 10a-10c) are connected in series for the heat transfer medium flowing through, when exploiting the stored solar thermal energy. The thermal storage system is capable of exploiting the solar thermal energy more efficiently than conventional ones, while considering a variation in the amount of solar thermal energy.

Abstract: In an atomizer constructed to cool inlet air for a gas turbine by spraying fine droplets of water into the inlet air, a spray nozzle is disposed to spray the finely atomized droplets of water from an outer edge of an atomized airstream into a high-speed zone thereof, towards a central region of the airstream. The atomized airstream meets an airstream of a low-speed zone formed at a downstream side, and after the two kinds of airstreams have been mixed and unified, this mixture is supplied to an axisymmetric compressor. Devices such as a feed water pipe and spray nozzle are placed in the low-speed zone so as not to obstruct the airstream.

Abstract: A gas concentration estimation device of a coal-burning boiler adapted to estimate the concentration of the gas component included in an exhaust gas emitted from a coal-burning boiler using a neural network, including: a process database section adapted to store process data of a coal-burning boiler; a filtering processing section adapted to perform filtering processing for extracting data suitable for learning of a neural network from the process data stored in the process database section; a neural-network learning processing section adapted to perform learning processing of the neural network based on the data extracted by the filtering processing section and suitable for learning of the neural network; and a neural-network estimation processing section adapted to perform estimation processing of the CO concentration or the NOx concentration in the exhaust gas emitted from the coal-burning boiler based on the learning processing of the neural-network learning processing section.

Abstract: Disclosed is a solar assisted combined cycle power plant having a compressor that pressurizes combustion air, a combustor that mixes and burns the combustion air and gas turbine fuel to generate a high-temperature combustion gas, a gas turbine that drives the compressor by using the combustion gas, an exhaust heat recovery steam generator that obtains steam from thermal energy of a gas exhausted from the gas turbine, and a steam turbine that is driven by using the steam obtained by the exhaust heat recovery steam generator. The solar assisted combined cycle power plant includes a solar collector to turn supplied water to warm water; a heat accumulator that stores pressurized hot water from the solar collector and the exhaust heat recovery steam generator; and a spray device that handles the pressurized hot water as spray water and sprays the spray water onto the air to be taken into the compressor.

Abstract: A plant control system includes: a numerical calculation execution part which calculates the operation characteristic of the plant; a model for simulating the plant control characteristic according to information on the numerical calculation result; a learning part which learns the plant operation method by using the model; a learning information database which stores learning information data on the learning part; a pattern generation part which generates pattern data expressing a state input based on the learning information data in the learning part with a smaller input number than the model input dimension; a pattern database which stores the pattern data generated in the pattern generation part; and a learning result determination part which selects a learning result having a preferable control effect from the learning result obtained by using a plurality of patterns.

Abstract: The plant control system has a measurement signal data database, a model to estimate the value of measurement signal data used at a time when an operation signal is given to the plant, and an operation signal learning unit to learn a method of generating a model input, which is equivalent to an operation signal, so that a model output, which is equivalent to the measurement signal data, attains a target value. The plant control system also has an evaluation function calculating unit to calculate an evaluation function value from the model output obtained as a result of an operation carried out by the operation signal learning unit for the model, and an evaluation function adjusting unit to adjust evaluation function parameters used in calculation of an evaluation function.

Abstract: A gas concentration estimation device of a coal-burning boiler adapted to estimate the concentration of the gas component included in an exhaust gas emitted from a coal-burning boiler using a neural network, including: a process database section adapted to store process data of a coal-burning boiler; a filtering processing section adapted to perform filtering processing for extracting data suitable for learning of a neural network from the process data stored in the process database section; a neural-network learning processing section adapted to perform learning processing of the neural network based on the data extracted by the filtering processing section and suitable for learning of the neural network; and a neural-network estimation processing section adapted to perform estimation processing of the CO concentration or the NOx concentration in the exhaust gas emitted from the coal-burning boiler based on the learning processing of the neural-network learning processing section.

Abstract: A plant control apparatus has a measurement signal DB, an operation signal DB, a numerical value analysis executing unit, a numerical value analysis result DB, a model for estimating a value of a measurement signal for an operation signal, learning unit using the model, a learning information DB, a control logic DB for information used by an operation signal generating unit, a knowledge DB for plant running characteristics, and an analyzing unit processing information in the numerical value analysis result DB by information in the knowledge DB, learning information DB, operation signal DB, and measurement signal DB, wherein the analyzing unit includes at least one of a learning base analyzing unit checking adequacy of an operation method, a signal analyzing unit for evaluating an effect of the operation signal upon the plant and presence/absence of an abnormal signal, and a knowledge DB updating unit correcting information in the knowledge DB.

Abstract: A controlling device that includes a model that predicts the value of a measured signal obtained when an operation signal is given to a thermal power generation plant, a function that learns a method of generating a model input such that a model output satisfies the plant value, a function that determines an operation signal to be given to the plant according to the learning result, a database that stores measured signal limit values set in advance, an external input interface that fetches measured signals from the plant, a measured signal database that stores the values of the fetched measured signals, and a function that determines an initial value of the plant model output value by using limit values of the measured signals and at least one of an average value, a maximum value, and a minimum value that are calculated from the measured signals stored in a measured signal database.