WO2018083781A1 - Système de gestion d'hydrogène et procédé de gestion d'hydrogène - Google Patents

Système de gestion d'hydrogène et procédé de gestion d'hydrogène Download PDF

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Publication number
WO2018083781A1
WO2018083781A1 PCT/JP2016/082837 JP2016082837W WO2018083781A1 WO 2018083781 A1 WO2018083781 A1 WO 2018083781A1 JP 2016082837 W JP2016082837 W JP 2016082837W WO 2018083781 A1 WO2018083781 A1 WO 2018083781A1
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Prior art keywords
filling
hydrogen
fuel cell
instruction
time
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PCT/JP2016/082837
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English (en)
Japanese (ja)
Inventor
秋葉　剛史
史之 山根
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株式会社 東芝
東芝エネルギーシステムズ株式会社
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Priority to PCT/JP2016/082837 priority Critical patent/WO2018083781A1/fr
Priority to JP2018509637A priority patent/JP6441542B2/ja
Publication of WO2018083781A1 publication Critical patent/WO2018083781A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation; Time management

Definitions

  • Embodiments described herein relate generally to a hydrogen management system and a hydrogen management method.
  • FC fuel cell
  • a hydrogen station that supplies hydrogen to a fuel cell vehicle such as an FC forklift has a very high manufacturing cost, and therefore, a form in which a plurality of fuel cell vehicles share a hydrogen station is considered.
  • the problem to be solved by the present invention is to provide a hydrogen management system and an integrated hydrogen management apparatus capable of suppressing the occurrence of waiting for hydrogen filling in a form in which a plurality of fuel cell vehicles share a hydrogen station.
  • the hydrogen management system of the embodiment includes a hydrogen production device that produces hydrogen using electric power generated by a power generation device, a hydrogen storage device that stores hydrogen produced by the hydrogen production device stage, and a hydrogen storage device.
  • a hydrogen management system applied to a hydrogen supply system including a hydrogen station capable of filling each of a plurality of fuel cell vehicles with hydrogen using stored hydrogen, wherein the plurality of fuel cell vehicles Using at least a part of the hydrogen demand forecast and the hydrogen production plan of the hydrogen production apparatus, the filling execution time for performing hydrogen filling is determined for each fuel cell vehicle, and at least the filling start at the filling execution time is started.
  • Filling plan means for issuing a filling instruction indicating the time, and individual filling instructions issued in the past by the filling planning means for each fuel cell vehicle
  • the actual filling start time is deviated from the indicated filling start time, and the learning result is used to predict the filling start time at which filling is started in response to the filling instruction issued by the filling planning means.
  • Filling instruction correction means for sending the filling instruction to the corresponding fuel cell vehicle.
  • FIG. The figure which shows the whole structure of the hydrogen supply system which concerns on 1st Embodiment.
  • FIG. The figure which shows an example of the operation
  • FIG. which shows an example of the operation
  • FIG. The example of a display of the information displayed on the screen of the terminal device of FC forklift (the 1).
  • FIG. 1 is a diagram illustrating an overall configuration of the hydrogen supply system according to the first embodiment.
  • This hydrogen supply system includes a power generation facility 10, a hydrogen production device 11, a hydrogen tank (hydrogen storage device) 12, a hydrogen station 20, a hydrogen EMS (Energy Management System) 30, an FC forklift group 40A, 40B owned by the operator A, Includes hydrogen MMS (Mobility Management System) 50 and the like.
  • FC forklift as a fuel cell vehicle
  • FC forklift as a fuel cell vehicle
  • the power generation facility 10 performs power generation using natural energy such as solar power generation and wind power generation.
  • the hydrogen production apparatus 11 produces hydrogen by water electrolysis from electricity and water generated by the power generation facility 10.
  • the hydrogen tank 12 stores the hydrogen produced by the hydrogen production apparatus 11.
  • the hydrogen station 20 includes a hydrogen storage facility that takes in hydrogen from the hydrogen tank 12 and stores it, and a filling facility (a dispenser or the like) for filling the stored hydrogen into an FC forklift that is a fuel cell vehicle.
  • the hydrogen station 20 is shared by a plurality of FC forklift groups 40A and 40B.
  • FC forklift groups 40A and 40B In the present embodiment, the case where the hydrogen station 20 is a stationary hydrogen station (stationary equipment) is illustrated, but the hydrogen station 20 may be implemented instead of a mobile hydrogen station (moving vehicle).
  • the hydrogen EMS 30 collects the results of hydrogen filling in the hydrogen station 20, makes a hydrogen production plan based on the prediction of the power generation potential of solar power generation and wind power generation, and the hydrogen storage requirement indicated by the hydrogen MMS 50. This is a management system that controls the hydrogen production operation of the hydrogen production apparatus 11 according to the production plan.
  • the FC forklift groups 40A and 40B are fuel cell vehicles used by the business operator A mainly when operating the logistics business. Each FC forklift is provided with a terminal device that can be used by the user.
  • the hydrogen MMS 50 takes in various information obtained from the hydrogen EMS 30, and later described “hydrogen demand prediction”, “filling plan”, “hydrogen storage requirement calculation”, “fill instruction compliance record learning / prediction”, “fill instruction correction” Is a management system that issues a hydrogen storage request to the hydrogen EMS 30 and issues a filling instruction to the individual FC forklifts constituting the FC forklift groups 40A and 40B.
  • the plurality of FC forklift groups 40A and 40B share the hydrogen station 20, but the number of FC forklifts that can be charged simultaneously using the hydrogen station 20 is limited. Some FC forklifts may be waiting for hydrogen filling. For this reason, the hydrogen MMS 50 obtains information indicating the time period during which hydrogen can be filled in the FC forklift groups 40A and 40B as the business information obtained from the information management system of the business A, etc. The time for each FC forklift to perform hydrogen filling in the belt is set individually.
  • FC forklifts may wait for hydrogen filling. Since the hydrogen filling of each FC forklift is performed by the user of each FC forklift, for example, if there is a user who is slow to perform the hydrogen filling, filling waiting may occur. In order to reduce the occurrence of such a situation, in this embodiment, the hydrogen MMS 50 learns the past filling results of each FC forklift and implements the function of adjusting the contents of the filling instruction to each FC forklift as necessary. To do.
  • FIG. 2 is a diagram illustrating a connection relationship between the hydrogen MMS 50 and its peripheral portion.
  • the hydrogen EMS 30 has functions such as a filling record collection unit 31 and a hydrogen production planning unit 32.
  • the filling record collecting unit 31 collects information indicating the vehicle ID, filling start time (date and time), and filling end time (date and time) recorded for each FC forklift at the hydrogen station 20, and uses this information as “filling record information”. It has a function provided to the MMS 50 side.
  • the hydrogen production planning unit 32 makes a hydrogen production plan based on the prediction of the amount of power generation possible for solar power generation and wind power generation and the hydrogen storage requirement indicated by the hydrogen MMS 50, and the hydrogen production operation of the hydrogen production apparatus 11 according to the hydrogen production plan. It has a function to control.
  • the hydrogen production planning unit 32 generates hydrogen derived from renewable energy produced in the hydrogen production plan (that is, hydrogen produced using the power generated by the power generation facility 10 that generates power using natural energy). ) Information indicating the accumulated hydrogen amount for each time zone (start time / end time), and providing this to the hydrogen MMS 50 side as the “renewable energy-derived hydrogen production accumulated expected value”.
  • the hydrogen MMS 50 has various functions such as a hydrogen demand prediction unit 51, a filling plan unit 52, a hydrogen storage requirement calculation unit 53, a filling instruction compliance result learning / prediction unit 54, and a filling instruction correction unit 55.
  • a hydrogen demand prediction unit 51 a filling plan unit 52
  • a hydrogen storage requirement calculation unit 53 a filling instruction compliance result learning / prediction unit 54
  • a filling instruction correction unit 55 a filling instruction correction unit 55.
  • the hydrogen demand prediction unit 51 performs hydrogen demand prediction of the FC forklift groups 40A and 40B using the filling record information provided from the filling record collection unit 31 on the hydrogen EMS 30 side, and the hydrogen demand for each FC forklift for each time zone.
  • a demand prediction result (hydrogen consumption information) indicating the integrated value of the predicted amount is generated.
  • the filling planning unit 52 includes business information provided from the information management system of the business A, the renewable energy-derived hydrogen production integrated expected value generated by the hydrogen production planning unit 32 on the hydrogen EMS 30 side, and a hydrogen demand forecast.
  • a filling execution time for performing hydrogen filling is determined for each FC forklift by executing a series of processes using a predetermined algorithm.
  • it has a function of issuing a filling instruction indicating at least a filling start time (hereinafter referred to as “filling instruction time”) in the filling execution time.
  • the filling instruction may include information on the filling end time together with information on the filling start time.
  • the filling plan unit 52 has a function of generating information indicating the filling instruction time at the filling execution time of each FC forklift indicated in the filling instruction as a demand prediction result (filling timing information).
  • the hydrogen storage requirement calculation unit 53 uses the demand prediction result (filling timing information) generated by the filling plan unit 52 to store the amount of hydrogen (hydrogen) required to be stored in the hydrogen tank 12 used by the hydrogen station 20. Storage demand) is calculated, and a hydrogen storage request indicating the hydrogen storage demand is sent to the hydrogen production planning unit 32 on the hydrogen EMS 30 side.
  • the filling instruction observance achievement learning / prediction unit 54 includes, for example, a learning device having a function of a neural network (NN) or regression analysis (regression formula), and has “learning mode” and “prediction mode” as operation modes.
  • NN neural network
  • regression formula regression analysis
  • the filling instruction observance record learning / predicting unit 54 uses the filling record information provided from the filling record collecting unit 31 on the hydrogen EMS 30 side to perform the past by the filling planning unit 52 for each FC forklift.
  • the learning device learns the deviation of the actual filling start time with respect to the filling instruction time indicated in the individual filling instructions issued in, and in the “prediction mode”, the filling planning unit 52 uses the result learned by the learning device.
  • Has a function of predicting a filling start time (hereinafter, referred to as “predicted filling time”) at which filling is started in response to the filling instruction issued by, and notifying the filling instruction correcting unit 55 of the predicted filling time.
  • the filling end time information may be notified together with the filling start time information.
  • the filling instruction correction unit 55 corrects the filling instruction time indicated in the filling instruction issued by the filling planning unit 52 for each FC forklift according to the predicted filling time predicted by the filling instruction compliance result learning / prediction unit 54.
  • the filling instruction information is transmitted to a terminal device provided in the corresponding FC forklift by wireless communication, and the information indicating the corrected filling instruction time is displayed on the display of the terminal device.
  • information on filling end time may be transmitted together with information on filling start time.
  • information indicating the remaining time until the filling start time may be transmitted.
  • the filling instruction correction unit 55 has a predicted filling time predicted by the filling instruction compliance result learning / prediction unit 54 that is, for example, Td more than the filling instruction time indicated in the filling instruction issued by the filling planning unit 52. If it is late, correction is performed to advance the filling instruction time by Td. Thereby, it is expected that the user of the corresponding FC forklift performs filling at the filling instruction time indicated by the filling plan unit 52.
  • the filling instruction correction unit 55 performs a correction to delay the filling instruction time by Ta. You may make it implement. Alternatively, in such a case, it is assumed that the filling instruction is ignored, the transmission of the filling instruction to the FC forklift is stopped, and the fact is notified to the outside (for example, the information management system of the operator A). Good. By doing so, it is possible to reduce the processing required for useless filling instructions and the accompanying power consumption.
  • the predicted filling time predicted by the filling instruction observing result learning / predicting unit 54 including the portion predicted in the past by the filling instruction observing result learning / predicting unit 54 is the filling instruction issued by the filling planning unit 52. Even if a certain degree of opening or variation with respect to the indicated filling instruction time is indicated, it is considered that the filling instruction is ignored, transmission of the filling instruction to the FC forklift is stopped, and this is indicated to the outside (for example, the operator A (Information management system) may be notified. Even in this case, it is possible to reduce the processing required for the useless filling instruction and the accompanying power consumption.
  • FIG. 4 is a conceptual diagram for explaining the details of the function of the filling instruction observance record learning / prediction unit 54.
  • the filling instruction compliance result learning / prediction unit 54 has a learning device having a function of a neural network simulating a human brain, for example.
  • the neural network has an input layer, an intermediate layer, and an output layer.
  • the input layer inputs data from the outside
  • the intermediate layer performs predetermined processing on the data input from the input layer
  • the output layer outputs the data processed by the intermediate layer to the outside.
  • the filling instruction observance achievement learning / prediction unit 54 receives a filling instruction regarding a certain FC forklift from the filling planning unit 52 in both of the “learning mode” and the “prediction mode”.
  • Information such as filling instruction time (date and time) obtained from the calendar is supplied as input data to the input layer of the neural network.
  • the filling instruction observance record learning / prediction unit 54 receives the filling record information of the FC forklift corresponding to the filling instruction received from the filling plan unit 52 from the filling record collection unit 31 on the data hydrogen EMS 30 side, The filling record information is supplied as teacher data to the output layer of the neural network. Then, the neural network adjusts the individual variable parameters constituting the computation of the intermediate layer and updates the computation model so that the output layer data (teacher data) is derived from the input layer data for the FC forklift. To do.
  • the filling instruction compliance achievement learning / prediction unit 54 starts from the filling start time indicated in the filling instruction received from the filling planning unit 52 through the input layer, the intermediate layer, and the output layer of the neural network. A predicted filling time is derived, and the predicted filling time is notified to the filling instruction correction unit 55.
  • regression analysis regression equation
  • the filling plan unit 52 obtains information on a filling available time zone that is business information from the information management system of the business operator A and the like, and a demand prediction result (hydrogen consumption information) for each FC forklift from the hydrogen demand prediction unit 51. And a variable x t f that represents either “fill” or “do not charge” hydrogen for each FC forklift with a 0-1 value (“1” or “0”) within the available filling time zone.
  • the filling planning unit 52 provisionally determines a filling execution time candidate in the filling possible time zone for each FC forklift according to a predetermined algorithm, and each of the temporarily determined filling execution times.
  • the process of temporarily determining another new candidate is repeated until the candidate satisfies a predetermined evaluation criterion. Specifically, the processing described below is executed.
  • the filling plan unit 52 obtains the filling amount c t f of each FC forklift and the temporal change of the remaining fuel when full filling is performed at the time when the variable x t f is 1 (step S13). .
  • the filling plan unit 52 simultaneously selects the first evaluation value (gas deficiency penalty) indicating the number of FC forklifts in which the filled hydrogen disappears and the FC forklifts that are simultaneously filled.
  • a second evaluation value (simultaneous filling penalty) indicating the number of units that exceed the number that can be charged and a third evaluation value (shortage of hydrogen derived from renewable energy) indicating a shortage of hydrogen stored in the hydrogen tank 12 All or at least one of the penalties is calculated, and the result of the calculation is applied to the evaluation criteria to make a determination. Specifically, the processing described below is executed.
  • step S14 Filling planning unit 52 according to equation described in step S14 in FIG. 5, to calculate the gas shortage penalty E l (step S14).
  • the variable l t f in this calculation formula indicates whether or not the FC forklift f runs out of gas at time t by a binary value of “0” or “1”. “1” is indicated, and “0” is indicated otherwise.
  • the filling planning unit 52 according to equation described in step S15 in FIG. 5, to calculate the simultaneous filling penalty E s (step S15).
  • the constant S max in this calculation formula indicates the number of FC forklifts that can be filled simultaneously (continuously) at the same time.
  • the filling planning unit 52 calculates the deficiency penalty E e of renewable energy-derived hydrogen according to the calculation formula described in step S16 of FIG. 5 (step S16).
  • the variable E t in this equation shows the renewable energy from hydrogen accumulated expected value at time t.
  • the filling plan part 52 calculates the evaluation value E according to the calculation formula as described in step S17 of FIG. 5 (step S17).
  • the constants W l , W s , and W e in this formula are coefficients that determine the weights of the gas shortage penalty E l , the simultaneous charge penalty E s , and the renewable energy-derived hydrogen shortage penalty E e , respectively. .
  • step S18 when the calculated evaluation value E is less than the predetermined threshold value E Threshold (no in step S18), the processing from step S12 is repeated, while the calculated evaluation value E is equal to or greater than the predetermined threshold value E Threshold. If (yes in step S18), and the time t x t f is in the 1 to the time (filling instruction time) to perform filling instruction to FC forklift f, also it forecast results (filled timing information) (Step S19).
  • simulated annealing In order to obtain an optimum evaluation value, simulated annealing, tabu search, a genetic algorithm, or the like may be used.
  • the determination of the end of evaluation is performed when the evaluation value becomes less than the threshold value, when the evaluation value becomes the minimum in the specified number of repetitions, or when the change rate of the evaluation value becomes less than the threshold value. May be performed or a combination thereof may be implemented.
  • the filling planning unit 52 issues a filling instruction indicating a filling instruction time for each FC forklift and supplies it to the filling instruction observing result learning / predicting unit 54 and the filling instruction correcting unit 55, and each indicated by the filling instruction Information indicating the filling instruction time of the FC forklift is supplied to the hydrogen storage request amount calculation unit 53 as a demand prediction result (filling timing information).
  • the filling instruction correction unit 55 calculates the difference between the predicted filling time predicted by the filling instruction compliance result learning / prediction unit 54 and the filling instruction time indicated in the filling instruction issued by the filling planning unit 52 for the FC forklift. Calculate (step S22).
  • step S23 when the calculated difference is larger than 0 (yes in step S23), the filling instruction time is corrected to advance by the difference (step S25), and the filling instruction indicating the corrected filling instruction time is sent to the FC forklift. Send.
  • step S25 when the calculated difference is 0 (no in step S23), the filling instruction indicating the filling instruction time is transmitted to the FC forklift without performing the correction process in step S24.
  • step S25 If the processing for all the FC forklifts has not been completed (no in step S25), the filling instruction correction unit 55 sets the next identification number FC forklift as the processing target (step S26), and returns the processing from step S22. . On the other hand, if the processing for all the FC forklifts has been completed (Yes in step S25), the series of processing ends.
  • the first embodiment when a plurality of FC forklifts share a hydrogen station, it is possible to suppress the occurrence of an event in which each FC forklift waits for hydrogen filling, and to suppress the occurrence of fuel shortage and work stagnation. Can be prevented.
  • 2nd Embodiment shows the modification of the representation method of the candidate of filling implementation time in the filling plan part 52 of 1st Embodiment.
  • candidates for filling time of each FC forklift are expressed by variables indicating “filling start time” and “filling end time” of hydrogen.
  • simulated annealing In order to obtain an optimum evaluation value, simulated annealing, tabu search, a genetic algorithm, or the like may be used.
  • the values set for the filling start time and the filling end time are not random, and values obtained when a good solution is obtained in the optimization process may be held and used.
  • the second embodiment compared with the first embodiment, it is possible to reduce the change of filling / non-filling, improve the resistance against delay during operation, and each FC forklift is connected to the office and hydrogen. Frequent traffic between the stations 20 can be suppressed.
  • 3rd Embodiment shows the specific example of a process when the filling plan part 52 cannot be filled in the filling possible time slot
  • the filling planning unit 52 indicates that it is necessary to increase the number of hydrogen stations when filling is not possible during the filling time period, for example, a system that manages the operation of the hydrogen stations or a terminal device of an operator thereof. ), And when the notification of the update of the number of hydrogen stations is received from the predetermined system, the above-described filling plan process of FIG. 5 is re-executed using the notified information.
  • the filling planning unit 52 indicates that it is necessary to change the filling time zone when filling is not possible within the filling time zone, for example, the information management system of the operator A or the operator thereof. Terminal device), and when the notification of the update of the filling available time zone is received from the predetermined system, the above-described filling plan processing of FIG. 5 is re-executed using the notified information.
  • the effect of suppressing the waiting for filling can be further enhanced.
  • the fourth embodiment shows a specific example of processing when the filling plan unit 52 is requested to re-execute a filling plan by resetting conditions from a predetermined system.
  • the filling plan unit 52 When a re-execution of a filling plan by resetting conditions is requested from a predetermined system (for example, hydrogen EMS 30 or its terminal device), the filling plan unit 52 performs a filling plan by resetting conditions according to the request. Try again.
  • a predetermined system for example, hydrogen EMS 30 or its terminal device
  • 5th Embodiment shows the specific example of the information which the filling instruction
  • the filling instruction correction unit 55 transmits information to be displayed on the screen of the terminal device provided in the FC forklift.
  • the information may include information indicating the filling instruction time, but may instead include information indicating a time zone having a certain allowable width centered on the filling instruction time. . Alternatively, information indicating the remaining time until the filling instruction time may be included.
  • FIG. 7A shows an example in which specific “08:30” is displayed as the filling request time notified to the user of the FC forklift. “08:30” in this case corresponds to the filling instruction time corrected by the filling instruction correction unit 55.
  • FIG. 7B shows an example in which time periods “08:30” to “09:00” with a certain allowable range are displayed as the filling request time notified to the user of the FC forklift.
  • “09:45” located in the middle of “08:30” to “09:00” corresponds to the filling instruction time corrected by the filling instruction correction unit 55.
  • FIG. 7C shows an example in which a message prompting the start of filling is displayed together with the remaining time “01:30” until the filling request time.
  • These three screen display examples may be selectively adopted according to a request from the operator A, or an appropriate one is selected for each FC forklift based on the behavioral characteristics of the user of each FC forklift. May be adopted.
  • the user of each FC forklift can be made to perform the filling work according to the filling plan.
  • the sixth embodiment shows a specific example of data transmitted from the hydrogen EMS 30 to the hydrogen MMS 50 and its communication method.
  • the hydrogen MMS 50 includes “filling record information” indicating the vehicle ID, filling start time (date and time), and filling end time (date and time) recorded for each FC forklift at the hydrogen station 20 from the hydrogen EMS 30. “Renewable energy-derived hydrogen production integrated expected value” indicating the accumulated hydrogen amount for each time zone (start time / end time) of renewable energy-derived hydrogen produced in the hydrogen production plan. Receive data.
  • the communication method in this case may be a method in which direct transmission / reception is performed between the hydrogen EMS 30 and the hydrogen MMS 50, or the hydrogen EMS 30 and the hydrogen MMS 50 access a database or a shared file stored in a recording medium in the hydrogen MMS 50.
  • the method may be used.
  • the hydrogen MMS 50 transmits a filling instruction to a terminal device provided in each FC forklift, for example, wireless communication based on a communication standard such as WiFi or LTE (registered trademark) is applied.
  • a communication standard such as WiFi or LTE (registered trademark)
  • information can be efficiently transmitted from the hydrogen EMS 30 to the hydrogen MMS 50 with the minimum necessary communication amount, and the hydrogen MMS 50 can transmit information even when each FC forklift is in operation. Therefore, it is possible to inform the user of each FC forklift the filling instruction time according to the operation plan without delay.
  • the hydrogen EMS 30 and the hydrogen MMS 50 have independent functions as illustrated in FIG. 2 is illustrated.
  • the function of the hydrogen MMS 50 is illustrated.
  • a hydrogen demand prediction unit 51, a filling plan unit 52, a hydrogen storage requirement amount calculation unit 53, a filling instruction compliance result learning / prediction unit 54, and a filling instruction correction unit 55 are shown in FIG. As shown, it is configured to be a part of the function of the hydrogen EMS 30.
  • the number of systems to be configured can be reduced, and communication between systems can also be reduced. Therefore, the cost can be suppressed and the efficiency and speed of data transmission can be increased. be able to.
  • occurrence of waiting for hydrogen filling can be suppressed in a form in which a plurality of fuel cell vehicles share a hydrogen station.
  • the method described in each embodiment is, for example, a magnetic disk (floppy (registered trademark) disk, hard disk, etc.), optical disk (CD-ROM, DVD, etc.) as a program (software means) that can be executed by a computer (computer).
  • MO, etc. a semiconductor memory (ROM, RAM, flash memory, etc.), etc.
  • the program stored on the medium side includes a setting program that configures software means (including not only the execution program but also a table and data structure) in the computer.
  • a computer that implements this apparatus reads a program recorded on a recording medium, constructs software means by a setting program as the case may be, and executes the above-described processing by controlling the operation by this software means.
  • the recording medium referred to in this specification is not limited to distribution, but includes a storage medium such as a magnetic disk or a semiconductor memory provided in a computer or a device connected via a network.

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Abstract

La présente invention concerne un système de gestion d'hydrogène selon un mode de réalisation qui est pourvu d'un moyen de planification de remplissage pour utiliser au moins certaines informations à partir d'une estimation de demande d'hydrogène pour une pluralité de véhicules à pile à combustible et à partir d'un plan de production d'hydrogène pour un dispositif de production d'hydrogène afin de déterminer un temps d'exécution de remplissage pour exécuter un remplissage avec de l'hydrogène et pour émettre une instruction de remplissage indiquant au moins un temps de début de remplissage pour le temps d'exécution de remplissage ; un moyen d'apprentissage et d'estimation de résultats de remplissage pour apprendre la différence entre les temps de début de remplissage réel et les temps de début de remplissage donnés dans des instructions de remplissage individuelles délivrées dans le passé par le moyen de planification de charge pour chaque véhicule de pile à combustible, et à utiliser les résultats appris afin d'estimer des temps de début de remplissage lorsque le remplissage est démarré par rapport aux instructions de remplissage émises par le moyen de planification de remplissage ; et un moyen de correction d'instruction de remplissage pour corriger les temps de début de remplissage indiqués dans des instructions de début de remplissage émises par le moyen de planification de remplissage pour chaque véhicule de pile à combustible en fonction des temps de début de remplissage estimés par les moyens d'apprentissage et d'estimation de résultats de remplissage, et envoyer ces instructions de remplissage aux véhicules de pile à combustible correspondants.
PCT/JP2016/082837 2016-11-04 2016-11-04 Système de gestion d'hydrogène et procédé de gestion d'hydrogène WO2018083781A1 (fr)

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WO2020196889A1 (fr) * 2019-03-27 2020-10-01 旭化成株式会社 Dispositif de planification, procédé de génération d'un plan de fonctionnement, procédé de production d'hydrogène et programme
WO2020203520A1 (fr) * 2019-03-29 2020-10-08 旭化成株式会社 Dispositif, procédé et programme
JP7487247B2 (ja) 2022-03-24 2024-05-20 本田技研工業株式会社 予約管理装置、予約管理方法、及びプログラム

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2020121441A1 (fr) 2018-12-12 2020-06-18 東芝エネルギーシステムズ株式会社 Système de commande d'énergie d'hydrogène, et procédé de commande de celui-ci
EP3896821A4 (fr) 2018-12-12 2022-07-27 Toshiba Energy Systems & Solutions Corporation Dispositif et procédé de commande de système à hydrogène
KR102120958B1 (ko) * 2019-05-15 2020-06-09 표성환 이동식 에너지 공급 서비스 제공 방법 및 장치

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003130295A (ja) * 2001-10-25 2003-05-08 Honda Motor Co Ltd 水素スタンド充填管理装置、車載端末装置、水素スタンド、水素スタンド充填管理方法、及び車載端末装置用プログラム
WO2013099549A1 (fr) * 2011-12-27 2013-07-04 三菱電機株式会社 Système de gestion de l'énergie

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003130295A (ja) * 2001-10-25 2003-05-08 Honda Motor Co Ltd 水素スタンド充填管理装置、車載端末装置、水素スタンド、水素スタンド充填管理方法、及び車載端末装置用プログラム
WO2013099549A1 (fr) * 2011-12-27 2013-07-04 三菱電機株式会社 Système de gestion de l'énergie

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2020196889A1 (fr) * 2019-03-27 2020-10-01 旭化成株式会社 Dispositif de planification, procédé de génération d'un plan de fonctionnement, procédé de production d'hydrogène et programme
JPWO2020196889A1 (ja) * 2019-03-27 2021-10-21 旭化成株式会社 計画装置、稼働計画の生成方法、水素製造方法、およびプログラム
JP7219808B2 (ja) 2019-03-27 2023-02-08 旭化成株式会社 計画装置、稼働計画の生成方法、水素製造方法、およびプログラム
WO2020203520A1 (fr) * 2019-03-29 2020-10-08 旭化成株式会社 Dispositif, procédé et programme
JPWO2020203520A1 (ja) * 2019-03-29 2021-10-21 旭化成株式会社 装置、方法、およびプログラム
JP7221376B2 (ja) 2019-03-29 2023-02-13 旭化成株式会社 装置、方法、およびプログラム
US12078975B2 (en) 2019-03-29 2024-09-03 Asahi Kasei Kabushiki Kaisha Apparatus, method, and recording medium
JP7487247B2 (ja) 2022-03-24 2024-05-20 本田技研工業株式会社 予約管理装置、予約管理方法、及びプログラム

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