WO2017158762A1 - Système de gestion d'hydrogène et dispositif de gestion d'hydrogène intégré - Google Patents

Système de gestion d'hydrogène et dispositif de gestion d'hydrogène intégré Download PDF

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Publication number
WO2017158762A1
WO2017158762A1 PCT/JP2016/058337 JP2016058337W WO2017158762A1 WO 2017158762 A1 WO2017158762 A1 WO 2017158762A1 JP 2016058337 W JP2016058337 W JP 2016058337W WO 2017158762 A1 WO2017158762 A1 WO 2017158762A1
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hydrogen
filling
integrated
time
management system
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PCT/JP2016/058337
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English (en)
Japanese (ja)
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秋葉　剛史
史之 山根
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株式会社 東芝
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Priority to PCT/JP2016/058337 priority Critical patent/WO2017158762A1/fr
Priority to JP2018505137A priority patent/JP6462951B2/ja
Publication of WO2017158762A1 publication Critical patent/WO2017158762A1/fr

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    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M8/00—Fuel cells; Manufacture thereof
    • H01M8/04—Auxiliary arrangements, e.g. for control of pressure or for circulation of fluids
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L50/00—Electric propulsion with power supplied within the vehicle
    • B60L50/50—Electric propulsion with power supplied within the vehicle using propulsion power supplied by batteries or fuel cells
    • B60L50/70—Electric propulsion with power supplied within the vehicle using propulsion power supplied by batteries or fuel cells using power supplied by fuel cells
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
    • F17C—VESSELS FOR CONTAINING OR STORING COMPRESSED, LIQUEFIED OR SOLIDIFIED GASES; FIXED-CAPACITY GAS-HOLDERS; FILLING VESSELS WITH, OR DISCHARGING FROM VESSELS, COMPRESSED, LIQUEFIED, OR SOLIDIFIED GASES
    • F17C5/00—Methods or apparatus for filling containers with liquefied, solidified, or compressed gases under pressures
    • F17C5/06—Methods or apparatus for filling containers with liquefied, solidified, or compressed gases under pressures for filling with compressed gases
    • 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
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • 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
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Energy or water supply
    • 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
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/30—Hydrogen technology
    • Y02E60/32—Hydrogen storage
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/30—Hydrogen technology
    • Y02E60/50—Fuel cells
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/60—Other road transportation technologies with climate change mitigation effect
    • Y02T10/70—Energy storage systems for electromobility, e.g. batteries
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/60—Other road transportation technologies with climate change mitigation effect
    • Y02T10/7072—Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10—Technologies relating to charging of electric vehicles
    • Y02T90/14—Plug-in electric vehicles
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/40—Application of hydrogen technology to transportation, e.g. using fuel cells

Definitions

  • Embodiments of the present invention relate to a hydrogen management system and an integrated hydrogen management apparatus.
  • FC fuel cell
  • JP 2006-1797 A Japanese Patent No. 5679920 Japanese Patent No. 5432292
  • Hydrogen stations that supply hydrogen to fuel cell vehicles such as FC forklifts are very expensive to manufacture, so it is conceivable that hydrogen stations are shared by multiple offices.
  • 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 business offices share a hydrogen station.
  • the hydrogen management system of the embodiment is a hydrogen management system that is applied to a hydrogen supply system in which a plurality of business sites share a hydrogen station for filling a fuel cell vehicle with hydrogen, and the fuel cell vehicle of each business site.
  • a plurality of hydrogen management means for generating a hydrogen demand forecast, and a hydrogen demand forecast for the fuel cell vehicles at each business site generated by the plurality of hydrogen management means and a filling capable of filling hydrogen in the fuel cell vehicles at each business site Based on the information on the available time zone, the chargeable time zone is divided into a plurality of unit times, and the filling time for performing the hydrogen filling from the plurality of unit times is prevented from overlapping between establishments.
  • an integrated hydrogen management means for generating a hydrogen demand prediction including information on the filling time of the fuel cell vehicle at each office determined by the calculation.
  • FIG. The figure which shows the detailed operation
  • 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 apparatus 11, a hydrogen tank 12, a mobile hydrogen station 20, a mobile hydrogen station operation management system (hereinafter referred to as an “operation management system”) 30, and offices A and B.
  • 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 mobile hydrogen station 20 has a hydrogen storage facility that takes in hydrogen from the hydrogen production apparatus 11 or the hydrogen tank 12 and stores it, and a filling facility (dispenser or the like) for filling the stored hydrogen into a fuel cell vehicle such as an FC forklift. I have.
  • the mobile hydrogen station 20 is shared by a plurality of offices A and B. In this embodiment, the case where the hydrogen station 20 is a mobile hydrogen station (moving vehicle) is illustrated, but the hydrogen station 20 may be replaced with a stationary hydrogen station (stationary facility) that cannot move. In that case, the installation of the operation management system 30 for the mobile hydrogen station becomes unnecessary.
  • the operation of the mobile hydrogen station 20 is managed by the mobile hydrogen station operation management system 30.
  • the mobile hydrogen station 20 circulates the filling area for the business office A and the filling area for the business office B.
  • the FC forklift groups 41A and 41B used in A and the FC forklift groups 42A and 42B used in the office B are filled with hydrogen.
  • the operation management system 30 for the mobile hydrogen station uses the hydrogen demand prediction provided from the integrated hydrogen MMS 60 (for example, information indicating the instantaneous value of the hydrogen demand for each time zone) to plan the operation of the mobile hydrogen station 20. To manage the daily operation of the mobile hydrogen station 20.
  • FC forklift groups 41A, 41B, 42A, and 42B are fuel cell vehicles that are mainly used for operating a logistics business at each business office.
  • the establishment A uses FC forklift groups 41A and 41B in a plurality of areas
  • the establishment B uses FC forklift groups 42A and 42B in a plurality of areas.
  • Hydrogen MMS 50A, 50B is a hydrogen management device provided for each office.
  • the hydrogen MMS 50A is provided corresponding to the business office A
  • the hydrogen MMS 50B is provided corresponding to the business office B.
  • the hydrogen MMS 50A includes a hydrogen demand prediction (for example, information indicating an integrated value of the predicted hydrogen demand for each time zone of the FC forklift groups 41A and 41B) and supplementary information (for example, the remaining fuel amount of the FC forklift groups 41A and 41B on the previous day). Is generated).
  • the hydrogen demand forecast (for example, information indicating the integrated value of the hydrogen demand forecast amount for each time zone of the FC forklift groups 42A, 42B) and supplementary information (for example, the remaining fuel amount of the FC forklift groups 42A, 42B on the previous day) Information).
  • the hydrogen demand prediction is obtained by using, for example, information obtained from WMS (Warehouse Management System), ASN (Advanced Shipping Shipping), weather prediction, or a dispenser.
  • the integrated hydrogen MMS 60 integrates the hydrogen demand predictions provided from the hydrogen MMSs 50A and 50B (for example, information indicating the integrated value of the predicted hydrogen demand for each time zone), and creates a new hydrogen demand forecast (eg, the time zone). Information indicating an instantaneous value of each hydrogen demand amount) is generated and transmitted to the mobile hydrogen station operation management system 30 and the hydrogen EMS 70.
  • the hydrogen EMS 70 predicts the amount of power that can be generated by solar power generation and wind power generation, and also predicts the hydrogen demand of consumers who are supplied with hydrogen from a hydrogen storage facility in addition to the dispenser of the FC forklift.
  • the integrated hydrogen MMS 60 (or hydrogen MMS 50A, 50B) A hydrogen production plan is made together with the hydrogen demand forecast obtained from
  • the hydrogen MMSs 50A and 50B have a common functional configuration shown in FIG.
  • FIG. 2 is a block diagram illustrating a functional configuration example of one hydrogen MMS (for example, hydrogen MMS 50A).
  • the hydrogen MMS 50A includes UI (User Interface) 50a, 50c, 50e, a classification / dispenser setting unit 50b, databases 50d, 50f, a predicted performance display unit 50g, a prediction result correction unit 50h, and a prediction for 24 hours.
  • the UIs 50a, 50c, and 50e may be a single UI.
  • the databases 50d and 50f may be composed of one storage device.
  • the hydrogen MMS 50A (1) past data input from the WMS 31 or UI 50c operated by the operator and accumulated in the DB 50d, and (2) input from the ASN 32, calendar data 33, weather forecast data 34, and UI 50e operated by the operator.
  • the 24-hour prediction unit 50i Based on the prediction target date data accumulated in the DB 50f, the 24-hour prediction unit 50i performs a 24-hour hydrogen demand prediction, and based on the prediction result, the hydrogen storage requirement calculation unit 50k calculates the hydrogen storage requirement amount. Is calculated and notified to the integrated hydrogen MMS 60 from the communication unit 50m.
  • the hydrogen demand forecast reflecting the hydrogen storage requirement amount is transmitted from the integrated hydrogen MMS 60 to the hydrogen EMS 70, and the hydrogen EMS 70 formulates a hydrogen production plan.
  • the hydrogen MMS 50A makes a re-prediction execution decision. If the actual value of hydrogen filling with respect to the result of hydrogen demand prediction described above is large, the re-predicting unit 50j Re-predict. In this case, the hydrogen storage requirement calculation unit 50k calculates the hydrogen storage requirement amount based on the re-prediction result, and notifies the integrated hydrogen MMS 60 from the communication unit 50m.
  • the hydrogen demand prediction reflecting the hydrogen storage requirement amount is transmitted from the integrated hydrogen MMS 60 to the hydrogen EMS 70, and the hydrogen EMS 70 makes a hydrogen production plan again.
  • the hydrogen demand prediction by the 24-hour prediction unit 50i is performed for each section.
  • Each category is divided by the work that the FC forklift is in charge of, and is defined as a unit for hydrogen demand prediction.
  • Each division corresponds to each area where work is performed in a warehouse, for example, and each FC forklift performs dedicated work in each area.
  • the category / dispenser setting unit 50b obtains category setting information input by the operator operating the UI 50a and setting information indicating the location of the dispenser. Based on these information, the FC forklift in charge of each section associates the section with the dispenser for setting which dispenser is to be filled with hydrogen.
  • the predicted performance display unit 50g displays the predicted charged hydrogen amount (integrated), the required hydrogen storage amount, and the “filled hydrogen amount (integrated) of past performance data” on a screen.
  • the prediction result correction unit 50h corrects the predicted charged hydrogen amount (integration) and the hydrogen storage request amount displayed on the prediction result display unit 50g by an operation for arbitrary correction on the UI 50e by the operator, and creates a new It outputs to the hydrogen storage requirement calculation part 50k as a demand prediction result.
  • FIG. 3 is a diagram showing a connection relationship between the integrated hydrogen MMS 60 and its periphery.
  • FIG. 4 is a block diagram showing a functional configuration of the integrated hydrogen MMS 60. 3 and 4 show an example in which a mobile hydrogen station is used. However, in the case of using a fixed hydrogen station, installation of the mobile hydrogen station operation management system 30 and transmission / reception of transportation information are shown. Is no longer necessary.
  • the FC forklift at each logistics business establishment cannot be filled in free time. Therefore, in this embodiment, after having the operator of each business site specify the chargeable time zone in which the hydrogen of the FC forklift group used at each business site can be charged, Set to fill hydrogen into FC forklift. At that time, if the filling time overlaps between establishments, adjustments are also made to reduce the overlap as much as possible.
  • the integrated hydrogen MMS 60 receives establishment information from the establishment system 80A of the establishment A or the operator terminal 81A (for example, basic information related to the establishment A and information indicating a rechargeable time zone specified by the operator). ). Similarly, the integrated hydrogen MMS 60 receives the establishment information (for example, basic information about the establishment B or information indicating the rechargeable time zone specified by the operator) from the establishment system 80B of the establishment B or the operator terminal 81B. . Further, the integrated hydrogen MMS 60 receives establishment setting information (for example, information indicating the priority of hydrogen filling for each establishment) from the operator terminal 81Z of the maintenance management company of the integrated hydrogen MMS 60.
  • establishment information for example, basic information about the establishment B or information indicating the rechargeable time zone specified by the operator
  • the integrated hydrogen MMS 60 receives the above-described hydrogen demand prediction and supplementary information from the hydrogen MMS 50A of the business office A and the hydrogen MMS 50B of the business office B, respectively.
  • the integrated hydrogen MMS 60 generates a new hydrogen demand forecast (for example, information indicating an instantaneous value of the hydrogen demand amount for each time zone) using the received various information, and this new hydrogen demand forecast (hereinafter referred to as “hydrogen demand forecast”). May be simply referred to as “hydrogen demand”) to the mobile hydrogen station operation management system 30 or the hydrogen EMS 70.
  • a new hydrogen demand forecast for example, information indicating an instantaneous value of the hydrogen demand amount for each time zone
  • the integrated hydrogen MMS 60 divides the chargeable time zone into a plurality of unit times based on the received hydrogen demand prediction and information indicating the chargeable time zone, and performs hydrogen filling from the plurality of unit times. Performs a calculation to determine the filling time so that duplication between sites is suppressed, and generates a new hydrogen demand forecast including information on the filling time of the FC forklift group of each site determined by the calculation .
  • the integrated hydrogen MMS 60 is transported from the mobile hydrogen station operation management system 30 (for example, information indicating the travel time between filling areas for each office, information indicating the amount of hydrogen that can be mounted on each FC forklift, etc.). And the received information is applied to the above-described calculation as necessary.
  • the integrated hydrogen MMS 60 includes an establishment information receiving unit 61, a hydrogen demand forecast receiving unit 62, an integrated hydrogen demand forecasting unit 63, an integrated hydrogen demand sending unit 64, a hydrogen transport information receiving unit 65, a UI 66, and the like. It has various functions.
  • the establishment information receiving unit 61 has a function of receiving the above-described hydrogen demand prediction and supplementary information from the hydrogen MMS 50A of the establishment A and the hydrogen MMS 50B of the establishment B, respectively.
  • the hydrogen demand prediction receiving unit 62 has a function of receiving the above-mentioned office information and office setting information from the office systems 80A and 80B and the operator terminals 81A, 81B, and 81Z of the respective offices.
  • the integrated hydrogen demand prediction unit 63 has a function of generating the above-described new hydrogen demand prediction from the received various information.
  • the integrated hydrogen demand transmission unit 64 is a function of transmitting the generated new hydrogen demand prediction to the mobile hydrogen station operation management system 30 and the hydrogen EMS 70.
  • the hydrogen transport information receiving unit 65 has a function of receiving the transport information described above from the mobile hydrogen station operation management system 30.
  • the UI 66 is a user interface function that provides a screen that allows the operator to specify the above-described filling possible time zone, the priority of hydrogen filling for each office, and the like.
  • the integrated hydrogen demand prediction unit 63 includes functions such as an information setting unit 91, a calculation processing unit 92, and an information providing unit 93.
  • the information setting unit 91 has a function of tentatively determining a filling execution time candidate in a filling available time zone of the FC forklift group of each office according to a predetermined algorithm and setting it in a predetermined storage area.
  • the filling execution time candidate to be set is expressed by, for example, a binary variable indicating whether or not hydrogen filling is performed for each unit time.
  • the arithmetic processing unit 92 repeats a process of causing the information setting unit 91 to set another candidate when the filling time candidate for each establishment set by the information setting unit 91 does not satisfy a predetermined evaluation criterion, When the evaluation criteria are satisfied, the candidate is determined as a filling execution time.
  • the information providing unit 93 generates a hydrogen demand prediction including information on the filling time of the fuel cell vehicle at each business site determined by the arithmetic processing unit 92 through the integrated hydrogen demand transmitting unit 64, and the operation management system 30 for the mobile hydrogen station. And a function provided to the hydrogen EMS 70.
  • the calculation processing unit 92 determines whether or not the filling time candidate for each establishment set by the information setting unit 91 satisfies the evaluation criteria, (1) filling possibility, (2) Calculate the first evaluation value, the second evaluation value, and the third evaluation value that indicate the temporal consistency between establishments, and (3) the filling interval, respectively, and apply these evaluation values to the evaluation criteria. To make a decision.
  • the first evaluation value, the second evaluation value, and the third evaluation value are multiplied by predetermined weights, and values obtained by adding the respective weights are set as the total evaluation value. If this comprehensive evaluation value falls below (or exceeds) a predetermined reference value, it is determined that the filling time candidate for each establishment set by the information setting unit 91 satisfies the evaluation criteria, and the candidate Is determined as the filling time.
  • the first evaluation value is, for example, an evaluation value indicating the degree of shortage of hydrogen in the FC forklift group without being filled with the predicted amount of hydrogen by the time when the hydrogen in the FC forklift group is exhausted only with the remaining fuel of the previous day. . By using this evaluation value, it is possible to prevent the FC forklift group from running out of fuel.
  • the second evaluation value is, for example, an evaluation value indicating the degree of occurrence of an event in which filling is simultaneously performed between establishments.
  • the third evaluation value is, for example, an evaluation value indicating the degree to which the time interval for filling in one office is prolonged. Although this evaluation value is not essential, the use of this evaluation value can reduce the occurrence of wasted time during which no filling is performed.
  • the first evaluation value, the second evaluation value, and the third evaluation value are respectively referred to as “fillability evaluation value”, “temporal inconsistency evaluation value between establishments”, Sometimes referred to as “evaluation value of filling interval”.
  • the integrated hydrogen demand prediction unit 63 performs a process of temporarily determining a filling execution time candidate in the filling time zone of the FC forklift group according to a predetermined algorithm for each business site.
  • the integrated hydrogen demand forecasting unit 63 sets the remaining fuel amount of the previous day of the FC forklift group at the target establishment n as R (n) (step S12), and sets a plurality of rechargeable time zones at the target establishment n.
  • F (n, i) (i 1, 2,..., I (n)) (step S12).
  • i 1, 2,..., I (n) represents a filling time zone number for identifying each filling time zone.
  • the integrated hydrogen demand prediction unit 63 divides the rechargeable time zone F (n, i) into unit times of, for example, 1 minute, and a binary variable G indicating whether or not hydrogen is charged during each unit time.
  • j 1, 2,..., J (n, j) represents a unit time number for identifying each unit time.
  • step S21 if the calculated evaluation value is not less than or equal to the threshold value (N in step S21), the processing from step S11 is repeated. If the calculated evaluation value is equal to or smaller than the threshold value (Y in step S21), each temporarily determined candidate is determined as the filling execution time, and the process is terminated.
  • the integrated hydrogen demand prediction unit 63 calculates an evaluation value of “fillability”. Further, the integrated hydrogen demand prediction unit 63 calculates an evaluation value of “temporal consistency between establishments”. Further, the integrated hydrogen demand prediction unit 63 calculates an evaluation value of “filling interval”. Finally, the integrated hydrogen demand prediction unit 63 assigns weights W0, W1, and W2 to the calculated evaluation values of the “filling possibility”, “temporal consistency between establishments”, and “filling interval”, respectively. Multiply them and add them. A value obtained by this addition processing is set as a final evaluation value (total evaluation value).
  • the integrated hydrogen demand forecasting unit 63 examines whether or not the hydrogen of the FC forklift group will be filled by the time when the hydrogen of the FC forklift group is insufficient, and the total amount of the shortage of the FC forklift group when not filled. Is an evaluation value.
  • the integrated hydrogen demand prediction unit 63 sets the hydrogen demand prediction (integrated value) at the time t of the target office n as P (n, t) (step S45).
  • the integrated hydrogen demand prediction unit 63 determines whether or not P (n, t) ⁇ R (n) is satisfied, that is, the hydrogen demand prediction (integrated value) at the time t of the target office n is the previous day. It is determined whether or not the fuel amount is equal to or greater than the remaining fuel amount (step S46). If not applicable (N in step S46), it is considered that hydrogen shortage does not occur, and the process proceeds to step S52 without calculating the shortage. On the other hand, if applicable (Y in step S46), calculation of the deficiency is started.
  • the integrated hydrogen demand prediction unit 63 sets T_loss as the time when the FC forklift group starts shortage only with the remaining fuel amount of the previous day (step S47), and calculates the difference in hydrogen demand prediction (integrated value) from time T_loss to time t.
  • ⁇ P is set (step S48), and D is the amount of hydrogen charged by the target office n from time 1 to t.
  • step S56 If the processes for all the establishments are not completed (N in step S56), the process for the establishment of the next establishment number is started (step S57), and the processes from step S43 are repeated. . If the processing for all offices has been completed (Y in step S56), the evaluation value calculation of the filling possibility ends.
  • the integrated hydrogen demand prediction unit 63 examines whether or not all the establishments are not filled at the same time for each time period, and sets the number of duplicate establishments as an evaluation value.
  • step S65 the integrated hydrogen demand prediction unit 63 determines whether or not the FC forklift group at the office n is filled at time t (step S65). If not applicable (N in step S65), the process proceeds to step S69.
  • Step S65 when the FC forklift group of the office n is filled at time t (Y in Step S65), it is determined whether or not the flag F_flag is “true” (filling is performed) (Step S65). S66). When not applicable (N of step S66), it progresses to step S68 and sets flag F_flag to "true” (filling is implemented). On the other hand, if the flag F_flag is “true” (filling is performed), it is assumed that other establishments FC forklifts are also filled at time t, and 1 is added to the current evaluation value Et. (Step S67). In this case, the flag F_flag remains “true” (step S68).
  • step S69 the process for the establishment of the next establishment number is started (step S70), and the processes from step S65 are repeated. . If processing for all offices has been completed (Y in step S69), the process proceeds to step S71.
  • the integrated hydrogen demand prediction unit 63 checks whether or not the time interval from the previous filling to the next filling is not too long in one establishment, and evaluates the total time interval as an evaluation value.
  • step S86 the integrated hydrogen demand prediction unit 63 determines whether or not the FC forklift group at the office n is filled at time t (step S86). If not applicable (N in step S86), the process proceeds to step S89.
  • the integrated hydrogen demand prediction unit 63 sets the previous filling time tp as the time t (step S88).
  • step S91 the weight Wed (n) of the target office n is set (step S91), A value obtained by multiplying the evaluation value Ed (n) of the target office n by the weight Wed (n) is added to the evaluation value Ed (step S92).
  • step S93 If the processes for all the establishments are not completed (N in step S93), the process for the establishment of the next establishment number is started (step S94), and the processes from step S83 are repeated. . If the processing for all offices has been completed (Y in step S94), the evaluation value calculation of the filling interval is terminated.
  • simulated annealing, tabu search, a genetic algorithm, or the like may be used in order to obtain an optimum evaluation value.
  • the binary value set for G (n, i, j) is not random, but a value obtained when a good solution is obtained in the optimization process is held, and the value may be used. Good.
  • the determination of the end of evaluation is either when the evaluation value is equal to or less than the threshold, or when the evaluation value becomes the minimum during the specified number of repetitions, or the rate of change of the evaluation value is equal to or less than the threshold, or a combination thereof. You may make it perform.
  • the first embodiment when a hydrogen station is shared by a plurality of business establishments, it is possible to suppress the occurrence of an event that a fuel cell vehicle is waiting to be charged with hydrogen, to suppress the occurrence of fuel shortage and work stagnation. Can be prevented.
  • each evaluation of filling possibility, temporal consistency between establishments, and filling interval is performed. Since each value is calculated, weighted to each, and the value obtained by addition is applied to the evaluation criteria as the final evaluation value, determination is made, so an appropriate filling amount and an appropriate filling timing are set. It can be realized, and this makes it possible to present an appropriate amount of hydrogen demand at the establishment.
  • the plurality of business establishments may be a plurality of business establishments with different business establishments, or a plurality of business establishments of the same business establishment. It may be a business office.
  • the overall configuration of the hydrogen supply system and the configurations of the MMS 50A and 50B and the integrated hydrogen MMS 60 are as described above.
  • the second embodiment differs from the first embodiment in the evaluation value calculation procedure performed by the integrated hydrogen demand prediction unit 63 of the integrated hydrogen MMS 60.
  • evaluation value calculation of filling possibility “evaluation value calculation of temporal consistency between establishments”, and “evaluation value calculation of filling interval” are performed in a series of arithmetic processing.
  • the “fillability check” and the “time consistency check” are performed before the evaluation value is calculated, and after these checks are performed, the “fill interval evaluation” is performed. Perform value calculation.
  • the integrated hydrogen demand prediction unit 63 determines (1) hydrogen of the FC forklift group when determining whether or not the candidate for the filling time in the filling time zone satisfies a predetermined evaluation criterion. It is determined whether or not there is an event that the demand for hydrogen is not filled by the time when there is no more hydrogen and there is a shortage of hydrogen, and when it is determined that this event does not occur, (2) When it is determined whether or not the event to be performed occurs and it is determined that the event does not occur, (3) “Evaluation value calculation of filling interval” is performed, and the calculated evaluation value is applied to the evaluation criterion to determine Do.
  • the integrated hydrogen demand prediction unit 63 performs processing similar to the processing in steps S11 to S15 described in FIG. 5 (steps S101 to S105).
  • step S106 the integrated hydrogen demand prediction unit 63 carries out “checking of filling possibility” described in detail later.
  • the integrated hydrogen demand prediction unit 63 repeats the processing of step S105 when the result of the “checking of filling possibility” does not indicate that filling is possible (N in step S107).
  • the integrated hydrogen demand prediction unit 63 performs the same process as the process of steps S16 to S19 described in FIG. Steps S108 to S111).
  • step S110 If the processing for all offices has been completed (Y in step S110), “time consistency check between offices” to be described in detail later is performed (step S20).
  • step S113 if there is a temporal inconsistency (Y in step S113), the processing from step S102 is repeated.
  • step S112 If there is no temporal inconsistency (N in step S113), an evaluation value described in detail later is calculated (step S112).
  • step S115 if the calculated evaluation value is not less than or equal to the threshold value (N in step S115), the processing from step S101 is repeated. If the calculated evaluation value is equal to or less than the threshold value (Y in step S115), each candidate that has been provisionally determined is determined as the filling execution time, and the process ends.
  • the integrated hydrogen demand prediction unit 63 performs the same processing as the processing of steps S45 to S49 described in FIG. 6 (steps S122 to S129).
  • step S130 determines whether (DELTA) P is larger than D (step S130). When not applicable (N of step S130), it progresses to step S124.
  • step S130 If it is determined in step S130 that ⁇ P is larger than D (Y in step S130), it is determined that filling is impossible (step S131), and the filling possibility check process is terminated.
  • the integrated hydrogen demand prediction unit 63 calculates an evaluation value of “filling interval”. Finally, the integrated hydrogen demand prediction unit 63 sets the calculated evaluation value of “filling interval” as the final evaluation value.
  • the evaluation when the evaluation value is expected to be low, the evaluation is not performed, so that the calculation time can be shortened.
  • the third embodiment shows a modification of the integrated hydrogen MMS 60 in the first embodiment.
  • the filling execution time in the filling available time zone for each business site is expressed by a binary variable indicating whether or not to perform hydrogen filling for each unit time.
  • the filling time is expressed by variables indicating the filling start time and filling end time of hydrogen.
  • FIG. 12 shows the difference in the filling method candidate expression method between the first embodiment and the third embodiment.
  • n represents an establishment number for identifying each establishment
  • i represents a refillable time zone number for identifying each refillable time zone
  • j represents a unit for identifying each unit time. Represents a time number.
  • the integrated hydrogen demand prediction unit 63 divides the rechargeable time zone for each establishment into unit times of, for example, 1 minute, Whether or not to fill with hydrogen is expressed by a binary variable, and a hydrogen demand prediction based on this information (for example, information indicating an instantaneous value of a hydrogen demand amount for each time zone) is generated.
  • the integrated hydrogen demand prediction unit 63 sets the filling available time zone for each establishment as a variable Gstart (n, i for filling start time). ) And an end time variable Gend (n, i), and a hydrogen demand prediction based on this information (for example, information indicating an instantaneous value of the hydrogen demand for each time zone) is generated.
  • simulated annealing In order to obtain an optimum evaluation value, simulated annealing, tabu search, a genetic algorithm, or the like may be used. In this case, the values set for the start time and end time of filling are not random, and values obtained when a good solution is obtained in the optimization process may be held and used.
  • the third embodiment compared to the first embodiment, it is possible to reduce the change of filling / non-filling, to improve resistance to delay during operation, and to establish an office of the mobile hydrogen station 20 You can suppress frequent traffic between them.
  • 3rd Embodiment showed the modification of the integrated hydrogen MMS60 in 1st Embodiment.
  • the fourth embodiment shows a modification of the integrated hydrogen MMS 60 in the second embodiment.
  • the integrated hydrogen demand prediction unit 63 is a binary indicating whether or not to perform hydrogen filling for each unit time as the filling time in the filling available time zone for each office.
  • the filling execution time is expressed by variables indicating the hydrogen filling start time and the filling end time.
  • the fourth embodiment compared to the third embodiment, it is possible to reduce the change of filling / non-filling, to improve resistance to delay during operation, and to establish an office of the mobile hydrogen station 20 You can suppress frequent traffic between them.
  • the time when the filling overlaps between the establishments is checked (see, for example, FIG. 7).
  • the fifth embodiment when confirming the temporal consistency between the establishments, not only the time when the filling overlaps between the establishments but also the movement time of the mobile hydrogen station 20 is considered.
  • the integrated hydrogen demand prediction unit 63 performs an operation for determining a filling execution time for performing hydrogen filling from a plurality of unit times so that duplication between offices is suppressed. In performing the calculation, a calculation is performed in consideration of the moving time of the mobile hydrogen station 20.
  • the integrated hydrogen demand forecasting unit 63 sets LastT (m) as the last filling time of the FC forklift group of the establishment m, and the mobile hydrogen station 20 is set as the initial value of the LastT (m).
  • the time required to move from the office to the office m is set (step S174).
  • step S175 the process for the establishment of the next establishment number is started (step S176), and the process of step S174 is repeated. If processing for all offices has been completed (Y in step S176), the process proceeds to step S177 in FIG. 13B.
  • step S179 the integrated hydrogen demand prediction unit 63 determines whether or not the FC forklift group at the office n is filled at time t (step S179). When not applicable (N of step S179), it progresses to step S185.
  • step S179 when the FC forklift group at the office n is filled at time t (Y in step S179), the process proceeds to step S180.
  • the integrated hydrogen demand forecasting unit 63 sets x for the establishment m other than the establishment n that has the smallest “t-LastT (m)” (the establishment filled last except for the establishment n). (Step S180), the movement time from the office x to the office n is Move_T (step S181).
  • Pena_T is larger than “t-LastT (m)”
  • the mobile hydrogen station 20 cannot reach the location of the office n by the time t, so that the evaluation value Et is deteriorated (increased).
  • the integrated hydrogen demand prediction unit 63 sets LastT (n) to t (step S184).
  • step S185 If the processes for all the establishments are not completed (N in step S185), the process for the establishment of the next establishment number is started (step S186), and the processes from step S179 are repeated. . If processing for all offices has been completed (Y in step S185), the process proceeds to step S187.
  • step S189 it is determined whether or not there is consistency according to the evaluation value Et (step S189).
  • Et exceeds the threshold, it is determined that there is no consistency, and if Et does not exceed, it is determined that there is consistency.
  • the fifth embodiment compared with the first to fourth embodiments, it is possible to evaluate the temporal consistency with higher accuracy in consideration of the moving time of the mobile hydrogen station 20.
  • the sixth embodiment proposes a concrete example of condition resetting and re-prediction when filling is impossible.
  • FIG. 14 is a diagram showing a connection relationship between the integrated hydrogen MMS 60 and its periphery in the sixth embodiment.
  • the integrated hydrogen MMS 60 makes an increase request R1 of the number of hydrogen stations to the mobile hydrogen station operation management system 30 when the filling in the available time zone is impossible. It has a function of making a change request R2A, R2B of a filling time zone to the operator terminals 81A, 81B.
  • the integrated hydrogen MMS 60 receives a notification of the update of the number of hydrogen stations from the operation management system 30 for the mobile hydrogen station or a notification of the update of the charging possibility time zone from the operator terminals 81A and 81B.
  • a function is provided for performing re-execution of hydrogen demand prediction using the notified information.
  • the seventh embodiment proposes a specific example of re-prediction when a re-prediction request is received.
  • FIG. 15 is a diagram showing a connection relationship between the integrated hydrogen MMS 60 and its periphery in the seventh embodiment.
  • the integrated hydrogen MMS 60 when the integrated hydrogen MMS 60 receives a re-prediction request R11 (for example, a re-planning request or condition setting) from the hydrogen EMS 70 or the mobile hydrogen station operation management system 30, the hydrogen MMS 50A, 50B On the other hand, a request for re-execution of hydrogen demand prediction calculation R12A, R12B is performed to obtain the result, and a function for re-execution of hydrogen demand prediction calculation in the integrated hydrogen MMS 60 is provided.
  • a re-prediction request R11 for example, a re-planning request or condition setting
  • the eighth embodiment proposes a specific example of an operator input screen that the integrated hydrogen MMS 60 provides to the operator terminals 81A and 81 through the UI 66.
  • the integrated hydrogen MMS 60 provides a display screen for the operators of the offices A and B to input the office information (such as filling time zone) through the operator terminals 81A and 81B.
  • FIG. 16 shows an example of a display screen that allows an operator to specify a filling time zone.
  • FIG. 16A illustrates a display screen 101 of a method for designating the start time and end time of each filling time zone.
  • FIG. 16B illustrates a display screen 102 of a method for designating a range from the start time to the end time of each filling time zone.
  • the integrated hydrogen MMS 60 provides a display screen for the operator of the maintenance management company of the integrated hydrogen MMS 60 to input the office setting information (such as the office priority) using the operator terminal 81Z.
  • FIG. 17 shows an example of a display screen that allows the operator to specify the establishment priority (priority of hydrogen filling for each establishment).
  • FIG. 17 (a) illustrates a display screen 103 of a method in which the respective offices are arranged in descending order of priority.
  • FIG. 17B illustrates a display screen 104 in which a priority is designated for each office.
  • the eighth embodiment it is possible to reduce time and effort required for an operator to input information and to prevent erroneous input.
  • the ninth embodiment shows a specific example of data such as hydrogen demand prediction transmitted and received by the integrated hydrogen MMS 60.
  • FIG. 18 shows an example of data (hydrogen demand prediction and supplementary information) received by the integrated hydrogen MMS 60 from the hydrogen MMSs 50A and 50B.
  • information 105 indicating an integrated value of the predicted hydrogen demand for each time zone is shown as the hydrogen demand prediction.
  • information 106 indicating the amount of remaining fuel on the previous day is shown as supplementary information.
  • the communication method may be a method in which the integrated hydrogen MMS 60 directly receives data from the hydrogen MMSs 50A and 50B, but may be a method in which each device accesses a database or a shared file in the integrated hydrogen MMS.
  • FIG. 19 shows data (hydrogen demand prediction) transmitted by the integrated hydrogen MMS 60 to the hydrogen EMS 70 and the mobile hydrogen station operation management system 30, and the integrated hydrogen MMS 60 receives from the mobile hydrogen station operation management system 30.
  • An example of data is shown.
  • information 107 indicating an instantaneous value of the hydrogen demand amount for each time zone is shown as the hydrogen demand prediction.
  • information 108 including the source office, the destination office, the travel time between offices, and the information 109 including the vehicle ID and the mountable hydrogen amount are shown.
  • the communication method may be a method in which the integrated hydrogen MMS 60 directly transmits / receives to / from the hydrogen EMS 70 or the mobile hydrogen station operation management system 30, but each device accesses a database or a shared file in the integrated hydrogen MMS. May be adopted.
  • FIG. 19 illustrates the case where the hydrogen station is a mobile hydrogen station. However, when a fixed hydrogen station is employed, the mobile hydrogen station operation management system 30 and the process of sending and receiving transport information are not necessary. Become.
  • data can be simplified and data communication can be performed more effectively.
  • the tenth embodiment shows a modification of the integrated hydrogen MMS 60 in the first embodiment.
  • the individual hydrogen MMSs 50A and 50B are devices independent of the integrated hydrogen MMS 60, but in the tenth embodiment, the integrated hydrogen MMS 60 has the functions of the hydrogen MMSs 50A and 50B. To do.
  • FIG. 20 is a diagram illustrating a configuration of the integrated hydrogen MMS 60 in the tenth embodiment.
  • the integrated hydrogen MMS 60 is provided with a hydrogen MMS function 50.
  • the hydrogen MMS function 50 includes a hydrogen demand prediction unit 51 corresponding to the functions of the hydrogen MMS 50A and 50B described above.
  • the hydrogen demand prediction unit 51 receives information indicating the hydrogen consumption from the establishments A and B, generates a hydrogen demand prediction similar to the hydrogen demand prediction generated by the hydrogen MMS 50A and 50B, and integrates the hydrogen demand. Send to prediction unit 63.
  • the introduction cost can be reduced.
  • 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

Selon un mode de réalisation, l'invention porte sur un système de gestion d'hydrogène appliqué à un système d'alimentation en hydrogène dans lequel une station à hydrogène destinée à ravitailler en hydrogène des véhicules à pile à combustible est partagée entre une pluralité de sites commerciaux, ledit système de gestion d'hydrogène comprenant : une pluralité de moyens de gestion d'hydrogène qui génèrent des prévisions de demande d'hydrogène de véhicules à pile à combustible au niveau de chacun des sites commerciaux ; et un moyen de gestion d'hydrogène intégré qui, sur la base des prévisions de demande d'hydrogène des véhicules à pile à combustible au niveau de chacun des sites commerciaux qui sont générées par la pluralité de moyens de gestion d'hydrogène et d'informations d'une période de temps de ravitaillement possible pendant laquelle il est possible de ravitailler en hydrogène les véhicules à pile à combustible au niveau de chacun des sites commerciaux, divise la période de temps de ravitaillement possible en une pluralité de temps unitaires, effectue un calcul pour déterminer des temps de ravitaillement auxquels le ravitaillement en hydrogène est effectué parmi la pluralité de temps unitaires de manière à réduire des chevauchements des temps de ravitaillement entre les sites commerciaux, et génère une prévision de demande d'hydrogène qui comprend des informations des temps de ravitaillement des véhicules à pile à combustible au niveau de chacun des sites commerciaux qui sont déterminées par ledit calcul.
PCT/JP2016/058337 2016-03-16 2016-03-16 Système de gestion d'hydrogène et dispositif de gestion d'hydrogène intégré WO2017158762A1 (fr)

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JP7429793B2 (ja) 2020-01-22 2024-02-08 ロベルト・ボッシュ・ゲゼルシャフト・ミト・ベシュレンクテル・ハフツング 燃料電池駆動装置を有する自動車の水素タンクをタンク充填する方法、および自動車
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