WO2017158762A1 - Hydrogen management system and integrated hydrogen management device - Google Patents

Abstract

A hydrogen management system according to an embodiment is applied to a hydrogen supply system in which a hydrogen station for filling up fuel cell vehicles with hydrogen is shared among a plurality of business sites, said hydrogen management system comprising: a plurality of hydrogen management means which generate hydrogen demand forecasts of fuel cell vehicles at each of the business sites; and an integrated hydrogen management means which, on the basis of the hydrogen demand forecasts of the fuel cell vehicles at each of the business sites which are generated by the plurality of hydrogen management means and information of a filling-possible time period in which it is possible to fill the fuel cell vehicles at each of the business sites with hydrogen, divides the filling-possible time period into a plurality of unit times, carries out a computation to determine filling times at which the filling with hydrogen is carried out from among the plurality of unit times such that overlaps of the filling times among the business sites is reduced, and generates a hydrogen demand forecast which includes information of the filling times of the fuel cell vehicles at each of the business sites which are determined by said computation.

Description

Hydrogen management system and integrated hydrogen management system

Embodiments of the present invention relate to a hydrogen management system and an integrated hydrogen management apparatus.

Hydrogen is attracting attention as a clean next-generation energy, and it is expected that fuel cell (FC) vehicles using this hydrogen as fuel will increase. For example, forklifts used by logistics companies in warehouses, etc., fuel cell forklifts (FC forklifts) are expected to increase in place of diesel engine type and battery type forklifts that have been used so far.

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.

However, when hydrogen stations are shared by multiple offices, there is a possibility that the fuel cell vehicle may wait for hydrogen filling. For example, if the waiting time for filling with hydrogen is long, it is conceivable that the fuel will run out or the work will be delayed, which hinders the work.

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. And 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.

The figure which shows the whole structure of the hydrogen supply system which concerns on 1st Embodiment. The block diagram which shows the function structural example of the hydrogen MMS for 1 unit | set. The figure which shows the connection relationship of integrated hydrogen MMS60 and its periphery. The block diagram which shows the function structure of integrated hydrogen MMS60. The figure which shows the main operation | movement by the integrated hydrogen demand prediction part 63. FIG. The figure which shows the detailed operation | movement of "evaluation value calculation of a filling possibility". The figure which shows the detailed operation | movement of "evaluation value of time consistency between establishments". The figure which shows the detailed operation | movement of "evaluation value calculation of a filling interval". The figure which shows the operation | movement of the check before evaluation value calculation by the integrated hydrogen demand prediction part 63 in 2nd Embodiment. The figure which shows the detailed operation | movement of the "check of a filling possibility" of step S106 in FIG. The figure which shows detailed operation | movement of the "check of the time consistency between establishments" of step S112 in FIG. The figure which contrasts and shows the difference in the expression method of the candidate of the filling implementation time of 1st Embodiment and 3rd Embodiment. The figure which shows the first half of the detailed operation | movement of "the evaluation value calculation of the temporal consistency between establishments" in 5th Embodiment. The figure which shows the second half of the detailed operation | movement of "the evaluation value calculation of the temporal consistency between establishments" in 5th Embodiment. The figure which shows the connection relation of integrated hydrogen MMS60 and its periphery in 6th Embodiment. The figure which shows the connection relation of integrated hydrogen MMS60 and its periphery in 7th Embodiment. The figure which shows the example of the display screen which enables an operator to specify the filling possible time slot | zone. The figure which shows the example of the display screen which enables an operator to specify the establishment priority. The figure which shows the example of the data which integrated hydrogen MMS60 receives from hydrogen MMS50A, 50B. The figure which shows the example of the data which the integrated hydrogen MMS60 transmits to the hydrogen EMS70 and the operation management system 30 for mobile hydrogen stations, and the data which the integrated hydrogen MMS60 receives from the operation management system 30 for mobile hydrogen stations. The figure which shows the structure of the integrated hydrogen MMS60 in 10th Embodiment.

(First embodiment)
FIG. 1 is a diagram illustrating an overall configuration of the hydrogen supply system according to the first embodiment.

[System configuration]
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. FC forklifts 41A, 41B and 42A, 42B, hydrogen MMS (Mobility Management System) 50A, 50B, integrated hydrogen MMS 60, hydrogen EMS (Energy Management System) 70, etc., respectively, are included.

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. For example, 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. For example, the establishment A uses FC forklift groups 41A and 41B in a plurality of areas, and 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. For example, the hydrogen MMS 50A is provided corresponding to the business office A, and 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). Similarly, 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

Here, the configuration of the hydrogen MMS 50A and 50B will be described. The hydrogen MMSs 50A and 50B have a common functional configuration shown in FIG.

[Configuration of hydrogen MMS 50A and 50B]
FIG. 2 is a block diagram illustrating a functional configuration example of one hydrogen MMS (for example, hydrogen MMS 50A). As shown in FIG. 2, 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. Unit 50i, re-prediction unit 50j, hydrogen storage request amount calculation unit 50k, and communication unit 50m. The UIs 50a, 50c, and 50e may be a single UI. The databases 50d and 50f may be composed of one storage device.

In 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. 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.

After the above notification, 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. At the timing when the FC forklift truck is actually filled with hydrogen, 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. After this notification, 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. For example, when there are a plurality of dispensers and each is provided at a location separated from each other, 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.

Further, 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.

Next, the integrated hydrogen MMS 60 will be described with reference to FIG. 3 and FIG.

[Configuration of integrated hydrogen MMS60]
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.

In the hydrogen supply system of this embodiment, since the hydrogen station 20 is shared by a plurality of business establishments A and B as described above, 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.

As shown in FIG. 3, 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.

Further, 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.

Further, 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.

In particular, 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 .

In addition, 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.

As shown in FIG. 4, 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.

When 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.

For example, 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. By using this evaluation value, it is possible to prevent occurrence of time inconsistency that hydrogen stations are simultaneously used between offices.

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.

In the following description, 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”.

Next, main operations performed by the integrated hydrogen demand prediction unit 63 will be described with reference to FIG.

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 prediction unit 63 identifies each establishment by establishment number n = 1, 2,..., And first starts processing for the establishment with establishment number n = 1 (step S11).

Next, 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. Let F (n, i) (i = 1, 2,..., I (n)) (step S12). In addition, i = 1, 2,..., I (n) represents a filling time zone number for identifying each filling time zone.

Next, the integrated hydrogen demand prediction unit 63 starts processing for the refillable time zone of number i = 1 (step S14).

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. The value of (n, i, j) (j = 1, 2,..., J (n, j)) is randomly determined (step S15). Here, j = 1, 2,..., J (n, j) represents a unit time number for identifying each unit time. By such processing using the variable G, candidates for filling time within the filling possible time zone F (n, i) are provisionally determined.

Here, if the processing for all the chargeable time zones of i = 1, 2,..., I (n) is not completed (N in step S16), the next available number of chargeable time zones is targeted. The process is started (step S17), and the process from step S15 is repeated.

On the other hand, if the processing for all refillable time zones of i = 1, 2,..., I (n) has been completed (Y in step S16), the processing has not been completed for all offices ( N of step S18), the process for the next office number is started (step S19), and the process from step S12 is repeated. If the processing has been completed for all offices (Y in step S18), an evaluation value (total evaluation value), which will be described in detail later, is calculated (step S20).

Here, 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.

[Calculation of evaluation value]
Next, the detailed operation of “calculation of evaluation value” in step S20 will be described.

First, 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).

[Calculation of fillability evaluation value]
Next, with reference to FIG. 6, the detailed operation of “evaluation of fillability evaluation value” will be described.

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.

First, the integrated hydrogen demand prediction unit 63 sets Ef as the evaluation value of the possibility of filling, and sets Ef = 0 as the initial value (step S41).

Then, the integrated hydrogen demand prediction unit 63 starts a process for the establishment with the establishment number n = 1 (step S42).

The integrated hydrogen demand forecasting unit 63 divides 24 hours constituting one day into units of one hour, sets each unit time to t = 1, 2,..., 24, and sets t = 1 as an initial value (step) S43).

Also, the integrated hydrogen demand prediction unit 63 sets Ef (n) as the evaluation value of the establishment with the establishment number n, and sets Ef (n) = 0 as the initial value (step S44).

Then, 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).

Here, 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.

First, 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. ΔP is set (step S48), and D is the amount of hydrogen charged by the target office n from time 1 to t.

And the integrated hydrogen demand prediction part 63 determines whether (DELTA) P is larger than D (step S50). If not applicable (N in step S50), it is considered that there is no shortage of hydrogen, and the process proceeds to step S52. On the other hand, if applicable (Y in step S50), it is assumed that a shortage of hydrogen occurs, and “ΔP−D” corresponding to the shortage is added to the current evaluation value Ef (n) (step S51).
Here, if the processing for all the times t = 1, 2,..., 24 is not completed (Y in step S52), the processing for the next time is started (step S53), and from step S45. Repeat the process.

On the other hand, if processing for all of the times t = 1, 2,..., 24 is completed (N in step S52), the weight Wef (n) of the target office n is set (step S54), and the current A value obtained by multiplying the evaluation value Ef (n) of the target office n by the weight Wef (n) is added to the evaluation value Ef (step S55).

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.

[Calculation of evaluation value of temporal consistency between offices]
Next, with reference to FIG. 7, the detailed operation of “calculation of evaluation value of temporal consistency between establishments” will be described.

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.

First, the integrated hydrogen demand prediction unit 63 sets Et as an evaluation value of temporal consistency, sets Et = 0 as an initial value (step S61), and starts processing for time t = 1 (step S62). ).

Further, the integrated hydrogen demand prediction unit 63 sets F_flag as a flag indicating whether or not filling is performed at time t, sets F_flag to false (no filling is performed) as an initial value (step S63), and The process for the office with the office number n = 1 is started (step S64).

Then, 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.

On the other hand, 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).

Here, if the processes for all the establishments are not completed (N in 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.

If the processes for all the times t = 1, 2,..., 24 have not been completed (Y in step S71), the process for the next time is started (step S72), and from step S63. Repeat the process.

On the other hand, if the processing for all of the times t = 1, 2,..., 24 is completed (N in step S71), the calculation of the evaluation value of the temporal consistency between establishments is terminated.

[Calculation of evaluation value of filling interval]
Next, with reference to FIG. 8, a detailed operation of “calculation of evaluation value of filling interval” will be described.

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. And

First, the integrated hydrogen demand prediction unit 63 sets the evaluation value of the filling interval to Ed, and sets Ed = 0 as an initial value (step S81).

Then, the integrated hydrogen demand prediction unit 63 starts a process for the establishment number n = 1 (step S82).

The integrated hydrogen demand prediction unit 63 sets the evaluation value of the establishment with the establishment number n as Ed (n), and sets Ed (n) = 0 as the initial value (step S83).
Further, the integrated hydrogen demand prediction unit 63 sets tp as the previous filling time and sets tp = 1 as an initial value (step S84).

Further, the integrated hydrogen demand prediction unit 63 divides 24 hours constituting one day into 1 hour units, sets each unit time to t = 1, 2,..., 24, and sets t = 1 as an initial value. (Step S85).

Then, 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.

On the other hand, when the FC forklift group at the office n is filled at time t (Y in step S86), “t-tp” corresponding to the filling interval is added to the current evaluation value Ed (n) ( Step S87).

Then, the integrated hydrogen demand prediction unit 63 sets the previous filling time tp as the time t (step S88).

Here, if the processing for all the times t = 1, 2,..., 24 has not been completed (N in step S89), the processing for the next time is started (step S90), and from step S86. Repeat the process.

On the other hand, if the processing for all the times t = 1, 2,..., 24 is completed (Y in step S89), 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).

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.

In the above-described operation, simulated annealing, tabu search, a genetic algorithm, or the like may be used in order to obtain an optimum evaluation value. In this case, 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. In addition, 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.

According to 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.

In addition, when determining whether or not the candidates for filling time for each establishment set at random satisfy the evaluation criteria, 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.

In the present embodiment, a case where a plurality of business establishments share a hydrogen station has been illustrated. However, 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.

(Second Embodiment)
Next, a second embodiment will be described. Note that description of portions common to the first embodiment described above is omitted. Below, a different part from 1st Embodiment is demonstrated.

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. However, 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.

In the first embodiment, “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. In contrast, in the second embodiment, 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.

More specifically, 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.

[Check before calculating evaluation value]
Next, with reference to FIG. 9, the check operation before the evaluation value calculation by the integrated hydrogen demand prediction unit 63 in the second embodiment will be described.

First, 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).

Then, the integrated hydrogen demand prediction unit 63 carries out “checking of filling possibility” described in detail later (step S106).

Here, 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).

On the other hand, when the result of “checking of filling possibility” indicates that filling is possible (Y 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).

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).

Here, if there is a temporal inconsistency (Y in step S113), the processing from step S102 is repeated.

On the other hand, if there is no temporal inconsistency (N in step S113), an evaluation value described in detail later is calculated (step S112).

Here, 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.

[Checking filling possibility]
Next, with reference to FIG. 10, the detailed operation of “checking of filling possibility” in step S106 in FIG. 9 will be described.

First, the integrated hydrogen demand prediction unit 63 divides 24 hours constituting one day into one hour units, sets each unit time to t = 1, 2,..., 24, and sets t = 1 as an initial value. (Step S101).

Next, 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).

And the integrated hydrogen demand prediction part 63 determines whether (DELTA) P is larger than D (step S130). When not applicable (N of step S130), it progresses to step S124.

Here, if the processing for all the times t = 1, 2,..., 24 is not completed (Y in step S124), the processing for the next time is started (step S125), and from step S122. Repeat the process. On the other hand, if the processing for all of the times t = 1, 2,..., 24 is completed (N in step S124), it is determined that filling is possible (step S126), and the filling possibility check processing is performed. finish.

If it is determined in step S130 that ΔP 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.

[Checking temporal consistency between offices]
Next, with reference to FIG. 11, the detailed operation of “Checking temporal consistency between offices” in step S112 in FIG. 9 will be described.

The integrated hydrogen demand prediction unit 63 performs the same processing as the processing of steps S61 to S72 described in FIG. 7 (steps S141 to S152). However, in step S151, if processing for all of the times t = 1, 2,..., 24 is completed (N in step S151), determination of consistency or non-consistency is made according to the evaluation value Et. This is performed (step S153). Here, if 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.

[Calculation of evaluation value]
Next, the detailed operation of “calculation of evaluation value” in step S114 in FIG. 9 will be described.

First, 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.

According to the second embodiment, when the evaluation value is expected to be low, the evaluation is not performed, so that the calculation time can be shortened.

(Third embodiment)
Next, a third embodiment will be described. Note that description of portions common to the first embodiment described above is omitted.

The third embodiment shows a modification of the integrated hydrogen MMS 60 in the first embodiment. 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. In this embodiment, 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. In the figure, n represents an establishment number for identifying each establishment, i represents a refillable time zone number for identifying each refillable time zone, and j represents a unit for identifying each unit time. Represents a time number.

As shown in FIG. 12 (a), in the first embodiment, 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.

On the other hand, in the second embodiment, as shown in FIG. 12B, 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.

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.

According to 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.

(Fourth embodiment)
Next, a fourth embodiment will be described. In addition, description of the part which is common in 2nd Embodiment and 3rd Embodiment mentioned above is abbreviate | omitted.

3rd Embodiment showed the modification of the integrated hydrogen MMS60 in 1st Embodiment. On the other hand, the fourth embodiment shows a modification of the integrated hydrogen MMS 60 in the second embodiment.

That is, 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. In contrast to the variable expression, in the fourth embodiment, the filling execution time is expressed by variables indicating the hydrogen filling start time and the filling end time. The specific difference between the second embodiment and the fourth embodiment is the same as described with reference to FIG.

According to 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.

(Fifth embodiment)
Next, a fifth embodiment will be described. Note that description of portions common to the first embodiment described above is omitted.

In the first to fourth embodiments, when confirming the temporal consistency between the establishments, the time when the filling overlaps between the establishments is checked (see, for example, FIG. 7). On the other hand, in 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.

In other words, in the fifth embodiment, 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.

[Calculation of evaluation value of temporal consistency between offices]
Next, with reference to FIG. 13A and FIG. 13B, the detailed operation of “evaluation value of temporal consistency between offices” in the fifth embodiment will be described.

First, as shown in FIG. 13A, the integrated hydrogen demand prediction unit 63 sets Et as the evaluation value of temporal consistency, sets Et = 0 as the initial value (step S171), and targets time t = 1. The process is started (step S172).

Also, the integrated hydrogen demand prediction unit 63 starts processing for the business establishment with the business establishment number n = 1 (step S173).

First, 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).

Here, if the processes for all the establishments are not completed (N in 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.

The integrated hydrogen demand prediction unit 63 sets a flag F_flag indicating whether or not filling is performed at time t to false (no filling is performed) (step S177), and the establishment number n = 1 for the establishment The process is started (step S178).

Then, 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.

On the other hand, 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).

Also, the integrated hydrogen demand prediction unit 63 sets “Move_T− (t−LastT (m))” as Pena_T (step S182), and adds Pena_T to the current evaluation value Et (step S183). However, when Pena_T is 0 or less, Pena_T is not added (Pena_T = 0).

For example, if 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).

Next, the integrated hydrogen demand prediction unit 63 sets LastT (n) to t (step S184).

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.

Here, if the processing for all of the times t = 1, 2,..., 24 has not been completed (Y in step S187), the processing for the next time is started (step S188), and from step S177. Repeat the process.

On the other hand, if the processing for all of the times t = 1, 2,..., 24 is completed (N in step S187), it is determined whether or not there is consistency according to the evaluation value Et (step S189). ). Here, if 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.

According to 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.

(Sixth embodiment)
Next, a sixth embodiment will be described. Note that description of portions common to the first embodiment described above is omitted.

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.

In the configurations of the first to fifth embodiments, it is conceivable that the filling waiting time may increase when it is impossible to fill the filling time zone. Therefore, 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.

In addition, 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. In some cases, a function is provided for performing re-execution of hydrogen demand prediction using the notified information.

According to the sixth embodiment, it is possible to more effectively suppress the waiting for filling.

(Seventh embodiment)
Next, a seventh embodiment will be described. Note that description of portions common to the first embodiment described above is omitted.

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.

In the seventh embodiment, 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.

According to the seventh embodiment, flexibility with respect to an external state change can be improved.

(Eighth embodiment)
Next, an eighth embodiment will be described. Note that description of portions common to the first embodiment described above is omitted.

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.

In the eighth embodiment, 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.

Further, in the eighth embodiment, 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.

According to the eighth embodiment, it is possible to reduce time and effort required for an operator to input information and to prevent erroneous input.

(Ninth embodiment)
Next, a ninth embodiment will be described. Note that description of portions common to the first embodiment described above is omitted.

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. In the example of FIG. 18, information 105 indicating an integrated value of the predicted hydrogen demand for each time zone is shown as the hydrogen demand prediction. Further, 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.

Further, 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 (transport information) is shown. In the example of FIG. 19, information 107 indicating an instantaneous value of the hydrogen demand amount for each time zone is shown as the hydrogen demand prediction. In addition, as the transport information, 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.

Note that 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.

According to the ninth embodiment, data can be simplified and data communication can be performed more effectively.

(Tenth embodiment)
Next, a tenth embodiment will be described. Note that description of portions common to the first embodiment described above is omitted.

The tenth embodiment shows a modification of the integrated hydrogen MMS 60 in the first embodiment.

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.

As shown in FIG. 20, 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.

According to the tenth embodiment, when a plurality of business establishments simultaneously introduce hydrogen MMS, the introduction cost can be reduced.

As described in detail above, according to at least one embodiment, it is possible to suppress the occurrence of waiting for hydrogen filling in a form in which a plurality of business sites 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., can be stored in a recording medium, or can be transmitted and distributed by a communication medium. 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.

In addition, although several embodiment of this invention was described, these embodiment is shown as an example and is not intending limiting the range of invention. These novel embodiments can be implemented in various other forms, and various omissions, replacements, and changes can be made without departing from the scope of the invention. These embodiments and modifications thereof are included in the scope and gist of the invention, and are included in the invention described in the claims and the equivalents thereof.

DESCRIPTION OF SYMBOLS 10 ... Power generation equipment, 11 ... Hydrogen production apparatus, 12 ... Hydrogen tank, 20 ... Hydrogen station, 30 ... Operation management system for mobile hydrogen stations, 41A, 41B, 42A, 42B ... FC forklift group, 50A, 50B ... Hydrogen MMS (Mobility Management System), 51 ... Hydrogen demand prediction section, 60 ... Integrated hydrogen MMS (Mobility Management System), 70 ... Hydrogen EMS (Energy Management System).

Claims (13)

1. A hydrogen management system applied to a hydrogen supply system in which a hydrogen station for filling a fuel cell vehicle with hydrogen is shared by a plurality of business establishments,
   A plurality of hydrogen management means for generating hydrogen demand forecasts for fuel cell vehicles at each site;
   Based on the hydrogen demand forecast of the fuel cell vehicle at each business site generated by the plurality of hydrogen management means and the information on the rechargeable time zone in which the fuel cell vehicle at each business site can be filled with hydrogen, Is divided into a plurality of unit times, and the operation for determining the filling time for performing hydrogen filling from the plurality of unit times so as to suppress duplication between establishments is performed, and each determined by the calculation A hydrogen management system comprising: an integrated hydrogen management means for generating a hydrogen demand prediction including information on a filling time of a fuel cell vehicle at an office.
2. The integrated hydrogen management means includes
   Information setting means for tentatively determining a filling execution time candidate in the filling time zone of the fuel cell vehicle of each office according to a predetermined algorithm and setting it in a predetermined storage area;
   If the filling execution time candidates set by the information setting means do not satisfy a predetermined evaluation criterion, the information setting means repeats the process of setting another candidate, and if the evaluation criteria are satisfied, the candidate is filled. The hydrogen management system according to claim 1, further comprising: an arithmetic processing unit that determines the execution time.
3. The arithmetic processing means, when determining whether or not the filling time candidate for each establishment satisfies the evaluation criteria,
   Calculating a first evaluation value indicating a degree of hydrogen shortage without being filled with a predicted demand amount of hydrogen by a time when the fuel cell vehicle runs out of hydrogen;
   Calculating a second evaluation value indicating the degree of occurrence of the simultaneous filling event between the establishments;
   The hydrogen management system according to claim 2, wherein the determination is performed by applying the calculated first evaluation value and the second evaluation value to the evaluation criterion.
4. The arithmetic processing means determines whether the candidate satisfies the evaluation criterion,
   Furthermore, a third evaluation value indicating the degree to which the time interval for filling in one office is prolonged is calculated,
   The hydrogen management system according to claim 3, wherein determination is performed by applying the calculated first evaluation value, the second evaluation value, and the third evaluation value to the evaluation criterion.
5. The arithmetic processing means determines whether the candidate satisfies a predetermined evaluation criterion,
   (1) It is determined whether or not an event of insufficient hydrogen occurs without filling the predicted demand amount of hydrogen by the time when the fuel cell vehicle runs out of hydrogen. ) Determining whether or not there will be an event in which filling is performed at the same time between offices, and if it is determined that the event does not occur, (3) indicates the extent to which the time interval at which filling is performed within one office is prolonged The hydrogen management system according to claim 2, wherein a third evaluation value is calculated, and determination is performed by applying the calculated third evaluation value to the evaluation criterion.
6. The hydrogen management system according to any one of claims 1 to 5, wherein the hydrogen station is a mobile hydrogen station that moves to a hydrogen supply destination.
7. The integrated hydrogen management means includes
   The hydrogen management system according to claim 6, wherein information indicating a hydrogen demand amount for each time zone is notified to an operation management system that manages operation of the mobile hydrogen station as a hydrogen demand prediction.
8. The integrated hydrogen management means includes
   8. The hydrogen management system according to claim 6, wherein when performing an operation for determining filling time so that duplication between business establishments is suppressed, an operation is performed in consideration of a moving time of the mobile hydrogen station.
9. The integrated hydrogen management means includes
   If charging is not possible during the filling time zone, the operation management system that manages the operation of the mobile hydrogen station is requested to increase the number of hydrogen stations, and the operator terminal is requested to change the filling time zone. When the notification of the update of the number of hydrogen stations is received from the operation management system, or the update of the charging possibility time zone is received from the operator terminal, the calculation is performed using the notified information. The hydrogen management system according to any one of claims 6 to 8.
10. The integrated hydrogen management means includes
    When a re-prediction request is received from another device, the plurality of hydrogen management means are requested to re-execute a hydrogen demand prediction calculation, and the result is obtained. The hydrogen management system according to any one of claims 1 to 9, comprising a function of re-executing the calculation.
11. The integrated hydrogen management means includes
    The hydrogen management system according to any one of claims 1 to 10, wherein a screen that allows an operator to specify at least one of a filling time period and a priority of hydrogen filling for each office is provided.
12. The integrated hydrogen management means includes
    From each hydrogen management means, information indicating the integrated value of the hydrogen demand forecast amount for each time zone is received as a hydrogen demand forecast,
    The hydrogen management system according to any one of claims 1 to 11, wherein information indicating an instantaneous value of a hydrogen demand amount for each time zone is transmitted to an external device as a hydrogen demand prediction.
13. An integrated hydrogen management device applied to a hydrogen supply system in which a hydrogen station for filling hydrogen into a fuel cell vehicle is shared by a plurality of offices,
    A plurality of hydrogen management means for generating hydrogen demand forecasts for fuel cell vehicles at each site;
    Based on the hydrogen demand forecast of the fuel cell vehicle at each business site generated by the plurality of hydrogen management means and the information on the rechargeable time zone in which the fuel cell vehicle at each business site can be filled with hydrogen, Is divided into a plurality of unit times, and the operation for determining the filling time for performing hydrogen filling from the plurality of unit times so as to suppress duplication between establishments is performed, and each determined by the calculation An integrated hydrogen management device comprising: an integrated hydrogen management means for generating a hydrogen demand prediction including information on a filling time of a fuel cell vehicle at an office.

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