Abstract: A fuel production system 1 for producing a liquid fuel from biomass feedstock includes a gasification furnace 30 that gasifies biomass feedstock to produce a syngas including hydrogen and carbon monoxide; a liquid fuel production unit 4 that produces a liquid fuel from the syngas produced by the gasification furnace 30; an electrolysis unit 60 that produces hydrogen from water using electric power generated using renewable energy; a hydrogen tank 62 that stores the hydrogen produced by the electrolysis unit 60; and a hydrogen supply pump 64 that supplies the hydrogen from the hydrogen tank 62into the gasification furnace 30 or a biomass feedstock supply channel 20 extending from a biomass feedstock supply unit 2 to the gasification furnace 30.

Abstract: A fuel production system and a fuel production method are provided which can efficiently perform adjusting of a synthesis gas composition by hydrogen supply, while suppressing the generated amount of carbon dioxide by a system overall. A fuel production system includes: a gasification furnace which gasifies a biomass raw material to generate a synthesis gas containing hydrogen and carbon monoxide; a liquid fuel production device which produces a liquid fuel from the synthesis gas generated by the gasification furnace; a hydrogen supply pump which supplies hydrogen to a raw material supply area or a synthesis gas discharge area; a byproduct sensor which detects a byproduct amount generated inside the gasification furnace; and a controller which switches a hydrogen supply location by the hydrogen supply pump between the raw material supply area and synthesis gas discharge area, based on the byproduct amount detected by the byproduct sensor.

Abstract: A fuel production system and a fuel production method are provided which can efficiently perform adjusting of a synthesis gas composition by hydrogen supply, while suppressing the generated amount of carbon dioxide by a system overall. A fuel production system includes: a gasification furnace which gasifies a biomass raw material to generate a synthesis gas containing hydrogen and carbon monoxide; a liquid fuel production device which produces a liquid fuel from the synthesis gas generated by the gasification furnace; a hydrogen supply pump which supplies hydrogen to a raw material supply area or a synthesis gas discharge area; a temperature sensor which detects a temperature of the gasification furnace; and a controller which switches a hydrogen supply location by the hydrogen supply pump between the raw material supply area and synthesis gas discharge area, based on the temperature detected by the temperature sensor.

Abstract: Fuel production system includes: synthesis gas generation unit configured to generate synthesis gas containing hydrogen and carbon monoxide from carbon-containing raw material; fuel production unit configured to produce fuel from synthesis gas generated; water electrolyzer configured to electrolyze water to generate water-electrolyzed hydrogen; hydrogen supply unit configured to supply water-electrolyzed hydrogen generated to synthesis gas generation unit; and controller. The controller is configured to perform: calculating input energy based on first energy possessed by raw material, second energy consumed by water electrolyzer, third energy consumed by synthesis gas generation unit, and fourth energy consumed by fuel production unit; calculating recovered energy based on fifth energy possessed by fuel produced; and controlling water electrolyzer based on input energy and recovered energy calculated.

Abstract: There is provided an optimization apparatus that reduces the time required to create a delivery plan. An optimization apparatus (100) includes an acquisition unit (110) that acquires delivery information regarding each of one or more products for each of a plurality of consumption locations, an identification unit (120) that identifies a plurality of delivery task candidates departing from a delivery source, delivering the one or more products to each of one or more consumption locations, and returning to the delivery source, a determination unit (130) that determines, based on the delivery information, at least one of evaluation values and a vehicle type of a delivery vehicle for each candidate, and a selection unit (140) that selects a plurality of delivery tasks from the plurality of identified candidates based on a result of optimizing an objective function based on a determination result.

Abstract: The inconsistency determination device 1 includes inconsistency determination means 9. The inconsistency determination means 9 determines whether or not there is inconsistency in an expression, which is to be converted into an energy function of a model representing states of individual spins by a first value or a second value, representing energy in a combinatorial optimization problem.

Abstract: The feature information derivation means 72 derives feature information that represents a feature of a model used to solve a combinatorial optimization problem, when the model is given. The solution method selection means 73 selects a solution method for the combinatorial optimization problem from among predetermined multiple types of solution methods based on the feature information. The solution request means 74 send a solution request that includes information that can specify the model used to solve the combinatorial optimization problem to a solution device that solves the combinatorial optimization problem using the selected solution method.

Abstract: An information processing device that compares a data amount of a QUBO model to be processed by an annealing engine and a data amount of a program representing the QUBO model, and that transmits whichever has a lower data amount to the annealing engine.

Abstract: The conversion means 72 generates a program for deriving a QUBO matrix that is a matrix that defines an energy function of QUBO, by converting a description of a natural language representing a combinatorial optimization problem into a description of the program for deriving the QUBO matrix. It is possible to generate a program for deriving a QUBO matrix based on a description of a natural language representing a combinatorial optimization problem.

Abstract: An optimization device includes a determination unit which determines weights for a plurality of constraint conditions imposed on a combinatorial optimization problem, respectively, and a generation unit which generates an energy function for the combinatorial optimization problem using a constant that is a sum of a constant used in formulation of an energy to be optimized in the combinatorial optimization problem and a sum over the plurality of constraint conditions of a constant used in formulation of an energy of one constraint condition multiplied by a weight determined for the one constraint condition.

Abstract: The annealing execution means 73 executes annealing using an energy function, when a solution to a combinatorial optimization problem, and the energy function of a model representing states of individual spins by a first value or a second value which is used to obtain the solution are given, and derives multiple new solutions to the combinatorial optimization problem. The solution determination means 74 determines a solution from among the multiple solutions derived by the annealing execution means 73, based on a solution determination rule for determining a solution among the multiple new solutions and the given solution to the combinatorial optimization problem.

Abstract: The difference matrix calculation means 72 calculates a difference matrix which is a difference between a first matrix representing a combinatorial optimization problem for which a solution was found last time and a second matrix representing the latest combinatorial optimization problem. The difference matrix compression means 73 compresses the difference matrix. The transmission means 74 transmits the difference matrix after compression to a combinatorial optimization problem solution device that finds a solution to the combinatorial optimization problem.

Abstract: A production plan optimization apparatus includes a traveling salesman problem formulation unit for formulating a problem regarding determining a sequence in which a plurality of workpieces are processed as a traveling salesman problem that satisfies a delivery date constraint based on a delivery date specified for at least one of the plurality of workpieces and a sequence constraint specified for at least one of combinations of the plurality of workpieces and also minimizes a sum of changeover times associated with switching of the workpieces and a processing sequence determination unit for calculating a solution to the traveling salesman problem, by using an annealing processing unit for searching for an optimal solution to a combinatorial optimization problem by simulated annealing or quantum annealing, and determining the sequence in which the plurality of workpieces are processed based on a result of the calculation.

Abstract: A state output system includes a solving unit which executes a solving process for solving a combinatorial optimization problem by a simulated annealing method, an acquiring unit which acquires data indicating states of the solving process in execution from the solving unit, and an outputting unit which outputs the acquired data during the execution of the solving process.

Abstract: Fuel production system includes: synthesis gas generation unit configured to generate synthesis gas containing hydrogen and carbon monoxide from carbon-containing raw material; fuel production unit configured to produce fuel from synthesis gas generated; water electrolyzer configured to electrolyze water to generate water-electrolyzed hydrogen; hydrogen supply unit configured to supply water-electrolyzed hydrogen generated to synthesis gas generation unit; and controller. The controller is configured to perform: calculating input energy based on first energy possessed by raw material, second energy consumed by water electrolyzer, third energy consumed by synthesis gas generation unit, and fourth energy consumed by fuel production unit; calculating recovered energy based on fifth energy possessed by fuel produced; and determining supply amount of water-electrolyzed hydrogen to be supplied based on input energy and recovered energy calculated.

Abstract: A solution accuracy guaranteeing annealing calculation device includes a first solving unit which solves a combinatorial optimization problem by an annealing method, and a second solving unit which solves a relaxation problem, which is a problem generated by relaxing constraints imposed on the combinatorial optimization problem, wherein the second solving unit calculates, if the combinatorial optimization problem is a minimization problem, a lower bound of a minimization target in the minimization problem by solving the relaxation problem generated from the combinatorial optimization problem, and calculates, if the combinatorial optimization problem is a maximization problem, an upper bound of a maximization target in the maximization problem by solving the relaxation problem generated from the combinatorial optimization problem.

Abstract: When determining, from a plurality of sensors (10), a sensor (10) for observing a plurality of moving objects (20), based on positions of the plurality of moving objects (20), an allocation determination apparatus (2000) executes annealing on an allocation determination model of which value is larger as the number of the moving objects (20) that are not observed by any of the plurality of sensors (10) is larger, and of which value is smaller as the number of the moving objects (20) that are not observed by any of the plurality of sensors (10) is smaller, and thereby determines allocation of the moving object (20) to each of the sensors (10) in a case in which the value of the allocation determination model decreases.

Abstract: The term generation means 73 generates a term, when a solution to a combinatorial optimization problem, an energy function, which is used to obtain the solution, of a model representing states of individual spins by a first value or a second value, and a pair of identification information of spin and degree of wish to change which indicates degree to which an user wishes to change state of spin corresponding to the identification information in the solution are given, wherein the term is generated for each pair of the identification information and the degree of wish to change, based on the state of spin corresponding to the identification information in the solution and the degree of wish to change. The energy function derivation means 74 deriving a new energy function by adding terms generated by the term generation means 73 for each pair to the energy function.

Abstract: A fuel production system includes a gasification unit including a gasification furnace that gasifies biomass feedstock to produce a syngas; a liquid fuel production unit that produces a liquid fuel from the syngas produced by the gasification unit; an electrolysis unit that produces hydrogen from water using electric power generated using renewable energy; a hydrogen tank that stores the hydrogen produced by the electrolysis unit; a remaining hydrogen amount determining section that determines the amount of hydrogen remaining in the hydrogen tank; a hydrogen supply unit that supplies the hydrogen from the hydrogen tank to the gasification unit; and a control unit that performs a hydrogen consumption increasing control to reduce the H2/CO ratio of the syngas produced by reaction in the gasification furnace and to increase the amount of hydrogen supplied by the hydrogen supply unit, when the remaining amount of hydrogen is more than a predetermined amount.

Abstract: A fuel production system 1 includes a gasification unit 3; an electrolysis unit 60 that is connected to a renewable power generating unit 5 and a commercial power grid 8 and produces hydrogen using electric power; and a control unit 7 that determines a power index that depending on the carbon dioxide emission intensity of the electric power supplied from the commercial power grid 8. When the remaining amount of hydrogen is smaller than a lower threshold, the control unit 7 causes electric power to be supplied to the electrolysis unit 60 from the renewable power generating unit 5 and the commercial power grid 8 for production of hydrogen, and controls, based on the power index, the amount of hydrogen supplied by a hydrogen supply pump 64 and the amount of commercial power supply from the commercial power grid 8 to the electrolysis unit 60.