JP2021026373A - Storage battery introduction support device, storage battery introduction support method and computer program - Google Patents

Abstract

To provide a storage battery introduction support device capable of determining an introduction start time of a storage battery, which is advantageous in terms of cost.SOLUTION: A storage battery introduction support device comprises: an acquisition unit that acquires cost-related information on the cost of a storage battery at multiple time points, and actual data on the electricity demand of a consumer; and a generation unit that generates support information for supporting the determination of an introduction start time of the storage battery to the customer, based on the cost-related information and the actual data acquired by the acquisition unit.SELECTED DRAWING: Figure 1

Description

The present disclosure relates to a storage battery introduction support device, a storage battery introduction support method, and a computer program.

Due to the growing awareness of power saving in recent years, storage batteries for consumers such as factories and homes have begun to spread. Consumers can obtain various cost advantages by introducing storage batteries. For example, by introducing a storage battery, it is possible to cut the peak power by lowering the maximum power. Therefore, the contract power can be reduced. Along with this, the basic electricity charge can be reduced. In addition, by utilizing the price difference of day and night power and using the power received at night in the daytime, it is possible to reduce the metered rate of power. In addition, the amount of received power can be reduced by storing the generated power using renewable energy such as solar power generation and wind power generation, and thereby the metered rate can be reduced.

Patent Document 1 discloses a power management device that assists in determining replacement or addition of a storage battery.

JP-A-2016-095598

By the way, the conventional power management device calculates the performance of the storage battery (rated output and rated capacity of the storage battery) to be introduced based on the present time and the operation plan using the storage battery.

However, the price of storage batteries is getting cheaper year by year due to technological innovation, and the performance of storage batteries is also increasing year by year. Therefore, in reality, it may be possible for the consumer to obtain a cost advantage by introducing the storage battery after waiting for a while.

The present disclosure has been made in view of such circumstances, and provides a storage battery introduction support device, a storage battery introduction support method, and a computer program capable of determining a cost-effective introduction start time of the storage battery. With the goal.

The storage battery introduction support device according to one aspect of the present disclosure includes an acquisition unit that acquires cost-related information regarding the cost of the storage battery at a plurality of time points and actual data of the electric power demand of the consumer, and the cost acquired by the acquisition unit. It is provided with a generation unit that generates support information for supporting the determination of the introduction start time point of the storage battery to the customer based on the related information and the actual data.

The storage battery introduction support method according to one aspect of the present disclosure includes a step of acquiring cost-related information regarding the cost of the storage battery at a plurality of time points and actual data of the electric power demand of the consumer, the acquired cost-related information, and the said. It includes a step of generating support information for assisting the determination of the start time of introduction of the storage battery to the consumer based on the actual data.

The computer program according to one aspect of the present disclosure includes an acquisition unit that acquires cost-related information regarding the cost of the storage battery at a plurality of time points and actual data of the electric power demand of the consumer, and the acquisition unit acquired by the acquisition unit. Based on the cost-related information and the actual data, it functions as a generation unit that generates support information for supporting the determination of the start time of introduction of the storage battery to the customer.

Needless to say, the computer program can be distributed via a computer-readable non-temporary recording medium such as a CD-ROM (Compact Disc-Read Only Memory) or a communication network such as the Internet. Further, the present disclosure can be realized as a semiconductor integrated circuit that realizes a part or all of the storage battery introduction support device, or can be realized as a system including the storage battery introduction support device.

According to the present disclosure, it is possible to determine when to start introducing a storage battery, which is advantageous in terms of cost.

FIG. 1 is a block diagram showing a functional configuration of the storage battery introduction support device according to the first embodiment of the present disclosure. FIG. 2 is a diagram showing an example of cost-effectiveness information at a plurality of time points. FIG. 3 is a diagram showing an example of power consumption cost information. FIG. 4 is a diagram for explaining a method of determining a storage battery introduction start time. FIG. 5 is a flowchart showing a processing procedure of the storage battery introduction support device according to the first embodiment of the present disclosure. FIG. 6 is a flowchart showing a processing procedure of the storage battery introduction support device according to the second embodiment of the present disclosure. FIG. 7 is a diagram showing an example of a display screen of the display device. FIG. 8 is a diagram showing an example of introduction cost-related information. FIG. 9 is a diagram for explaining a method of determining a storage battery introduction start time.

[Summary of Embodiments of the present disclosure]
First, an outline of the embodiments of the present disclosure will be listed and described.
(1) The storage battery introduction support device according to one aspect of the present disclosure includes an acquisition unit that acquires cost-related information regarding the cost of the storage battery at a plurality of time points and actual data of the electric power demand of the consumer, and the acquisition unit acquires the data. Based on the cost-related information and the actual data, the generation unit is provided to generate support information for supporting the determination of the start time of introduction of the storage battery to the customer.

According to this configuration, it is possible to generate support information for supporting the determination of the introduction start time of the storage battery based on the cost-related information and the actual data. Therefore, it is possible to determine the introduction start time of the storage battery, which is advantageous in terms of cost for the consumer.

(2) Preferably, the acquisition unit acquires cost-effectiveness information indicating the cost-effectiveness of the performance of the storage battery at the plurality of time points as the cost-related information.

According to this configuration, it is possible to generate support information for supporting the determination of the introduction start time of the storage battery based on the cost-effectiveness information and the actual data. Therefore, it is possible to determine the introduction start time of the storage battery in which the cost-effectiveness of introducing the storage battery becomes larger than that in the conventional case.

(3) More preferably, the generation unit includes a calculation unit that calculates power consumption cost information indicating the relationship between the performance of the storage battery and the power consumption cost of the consumer based on the actual data, and the cost pair. Based on the effect information and the power consumption cost information calculated by the calculation unit, the support information includes a time point determination unit that determines the introduction start time.

According to this configuration, the introduction start time of the storage battery can be determined based on the cost-effectiveness information and the power consumption cost information. Therefore, it is possible to determine the introduction start time of the storage battery in consideration of the power consumption cost.

(4) Further, among the plurality of time points, the time point determination unit maximizes the performance of the storage battery and the cost effectiveness in which the change in the power consumption cost due to the change in the performance of the storage battery starts to converge. The time point at which the difference from the performance of the storage battery is within a certain range may be determined as the introduction start time point.

According to this configuration, it is possible to determine the introduction start time of the storage battery that maximizes the cost-effectiveness of introducing the storage battery while considering the power consumption cost.

(5) Further, the generation unit further sets the performance of the storage battery having the maximum cost-effectiveness at the time of the introduction start determined by the time point determination unit, and the performance of the storage battery to be introduced to the customer. It may include a performance determination unit that determines.

According to this configuration, the performance of the storage battery to be introduced can be determined so as to maximize the cost effectiveness.

(6) Further, the acquisition unit acquires the introduction cost-related information related to the introduction cost of the storage battery at the plurality of time points as the cost-related information, and the generation unit acquires the introduction cost-related information and the actual result. Based on the data, the support information may include a calculation unit that calculates the investment payback period of the storage battery when the storage battery is introduced at the plurality of time points.

According to this configuration, it is possible to determine the introduction start time of the storage battery by comparing the investment payback periods among a plurality of time points.

(7) Further, the above-mentioned storage battery introduction support device may further include an output unit that outputs image information indicating an investment payback period of the storage battery when the storage battery is introduced at each of the plurality of time points.

According to this configuration, it is possible to present the consumer with image information indicating the payback period. Therefore, the consumer can determine the introduction start time from the image information.

(8) Further, the generation unit may further include a time point determination unit that determines the introduction start time based on the investment payback period at the plurality of time points calculated by the calculation unit.

According to this configuration, it is possible to determine the introduction start time of the storage battery from the viewpoint of the investment recovery time. Therefore, it is possible to determine the introduction start time point at which the investment payback time is the earliest.

(9) The storage battery introduction support method according to one aspect of the present disclosure includes a step of acquiring cost-related information on the cost of the storage battery at a plurality of time points and actual data of the electric power demand of the consumer, and the acquired cost-related information. A step of generating support information for assisting the determination of the start time of introduction of the storage battery to the customer based on the information and the actual data is included.

This configuration includes a step corresponding to a characteristic processing unit included in the above-mentioned storage battery introduction support device. Therefore, according to this configuration, the same operation and effect as the above-mentioned storage battery introduction support device can be obtained.

(10) The computer program according to one aspect of the present disclosure includes an acquisition unit that acquires cost-related information on the cost of a storage battery at a plurality of time points and actual data of a consumer's electric power demand, and the acquisition unit. Based on the acquired cost-related information and the actual data, it functions as a generation unit that generates support information for supporting the determination of the start time of introduction of the storage battery to the customer.

According to this configuration, the computer can function as the above-mentioned storage battery introduction support device. Therefore, the same operation and effect as the above-mentioned storage battery introduction support device can be obtained.

[Details of Embodiments of the present disclosure]
Hereinafter, embodiments of the present disclosure will be described with reference to the drawings. The embodiments described below are all specific examples of the present disclosure. Numerical values, shapes, materials, components, arrangement positions and connection forms of components, steps, step order, and the like shown in the following embodiments are examples, and do not limit the present disclosure. Further, among the components in the following embodiments, the components not described in the independent claims are components that can be arbitrarily added. Further, each figure is a schematic view and is not necessarily exactly illustrated.

Further, the same components are designated by the same reference numerals. Since their functions and names are the same, their description will be omitted as appropriate.

[Embodiment 1]
<Configuration of storage battery introduction support device>
FIG. 1 is a block diagram showing a functional configuration of the storage battery introduction support device according to the first embodiment of the present disclosure.

With reference to FIG. 1, the storage battery introduction support device 1 includes an acquisition unit 10, a storage unit 12, a generation unit 20, and an output unit 30.

The acquisition unit 10 acquires the actual data of the electric power demand of the consumer and the cost-related information regarding the cost of the storage battery at a plurality of time points.

For example, the acquisition unit 10 receives the actual data of the electric power demand input from the consumer by using the input means such as a keyboard and a mouse. The actual power demand data includes, for example, peak power, average power, nighttime power (nighttime power consumption), power type indicating the type of power contract, etc. in the one-year power demand of the consumer.

Further, the acquisition unit 10 acquires cost-effectiveness information indicating cost-effectiveness for the performance of the storage battery at a plurality of time points as cost-related information. The acquisition unit 10 acquires the cost-effectiveness information by reading the cost-effectiveness information stored in advance in the storage unit 12, for example.

FIG. 2 is a diagram showing an example of cost-effectiveness information at a plurality of time points. The horizontal axis of FIG. 2 shows the storage battery performance (here, the rated output of the storage battery), and the vertical axis shows the cost performance (cost effectiveness) with respect to the storage battery performance. FIG. 2 shows a curve 44 showing the cost performance of 2019, 2020, and 2021 as an example. The cost-effectiveness information may include the curve 44 of another year. Each curve 44 is an upwardly convex graph. For example, the rated output of the storage battery with the maximum cost performance in 2021 is 1400 kW. In general, the storage battery performance improves with the passage of time. Therefore, the rated output of the storage battery, which maximizes the cost performance, also increases with the passage of time.

The acquisition unit 10 can also calculate cost-effectiveness information. That is, the acquisition unit 10 can calculate the cost performance according to the following equation 1.
Cost performance = Y / (A / P + α + βX + γP)… (Equation 1)
Here, Y: useful life of the storage battery [year]
A: Fixed costs [yen] incurred regardless of the rated output or rated capacity of the storage battery
P: Rated output of storage battery [kW]
α: Cost for rated output of storage battery [yen / kW]
β: Cost for rated capacity of storage battery [yen / kWh]
X: Time capacity of storage battery (output time at rated output) [h]
γ: Cost of housing and power conditioner [yen / kW ² ]

Based on the cost-effectiveness information (cost-related information) and actual data acquired by the acquisition unit 10, the generation unit 20 provides support information for supporting the determination of the start time of introduction of the storage battery to the customer and the customer. Determine the performance of the storage battery to be introduced. The generation unit 20 includes a calculation unit 21, a time point determination unit 22, and a performance determination unit 23.

The calculation unit 21 calculates power consumption cost information indicating the relationship between the performance of the storage battery and the power consumption cost of the consumer based on the actual data of the power demand. It is assumed that the electric power equipment installed in the customer is known.

FIG. 3 is a diagram showing an example of power consumption cost information. The horizontal axis of FIG. 3 shows the storage battery performance (here, the rated output of the storage battery), and the vertical axis shows the annual power consumption cost [yen]. For example, the calculation unit 21 predicts the electric power demand of the consumer for one year based on the actual electric power demand data (peak electric power, average electric power, nighttime electric power, electric power type). Based on the predicted power demand, the calculation unit 21 estimates the annual power consumption cost when a plurality of predetermined rated output storage batteries are introduced into the consumer. Point 40 indicates the estimated power consumption cost. The calculation unit 21 calculates the power consumption cost information by calculating the power consumption cost approximation curve 41 from the plurality of points 40. As can be seen from the power consumption information in FIG. 3, the power consumption cost decreases as the rated output of the storage battery increases, but when the rated output exceeds a certain level, the power consumption cost decreases gradually.

The time point determination unit 22 determines the introduction start time point as the above support information based on the cost effectiveness information and the power consumption cost information calculated by the calculation unit 21. Specifically, the time point determination unit 22 determines the performance of the storage battery at which the change in the power consumption cost due to the change in the performance of the storage battery begins to converge and the performance of the storage battery that maximizes the cost effectiveness among the plurality of time points. The matching time point is determined as the introduction start time point. It should be noted that the performance match is not only a perfect match of performance but also a match of performance when the difference in performance is included in a certain range.

The method of determining the start time of introduction will be described in detail.
FIG. 4 is a diagram for explaining a method of determining a storage battery introduction start time. The horizontal axis of FIG. 4 shows the storage battery performance (here, the rated output of the storage battery), and the vertical axis shows the differential value of the approximate curve of the power consumption cost. The differential curve 42 is a curve obtained by differentiating the approximate curve 41 shown in FIG. The approximate straight line 43 is a linear approximation of the differential curve 42. The time point determination unit 22 calculates the difference Δy (x) obtained by subtracting the value of the approximate straight line 43 from the value of the differential curve 42 for each rated output x. The time point determination unit 22 calculates the rated output (here, 1400 kW) when the difference Δy (x) takes the maximum value (Δy_max (x)). This rated output of 1400 kW indicates the rated output at which changes in power consumption costs begin to converge. In other words, even if the rated output is further increased, the rated output does not reduce the power consumption cost for the increase in the rated output. Therefore, it is considered to be the optimum rated output of the storage battery for the consumer.

The time point determination unit 22 selects the curve 44 at the time when the rated output that maximizes the cost performance is closest to the rated output of the storage battery of 1400 kW, which is optimal for the consumer, with reference to the cost-effectiveness information shown in FIG. .. Here, the rated output when the cost performance of the curve 44 in 2021 is maximized is 1400 kW, and the difference between the two rated outputs is included in a predetermined fixed range (for example, 100 kW). Is selected. Since the time point of the selected curve 44 is 2021, the time point determination unit 22 determines 2021 as the start time point of introducing the storage battery to the consumer.

Based on the cost-effectiveness information, the performance determination unit 23 determines the performance of the storage battery that maximizes the cost-effectiveness at the start of introduction determined by the time-determination unit 22 as the performance of the storage battery to be introduced to the consumer. .. That is, in the above example, the performance determination unit 23 determines the rated output of 1400 kW of the storage battery, which has the maximum cost-effectiveness in 2021, as the performance of the storage battery to be introduced to the consumer.

The performance determination unit 23 may determine the performance of the storage battery to be introduced to the consumer based on the power consumption cost information. That is, with reference to FIG. 4, the time point determination unit 22 calculated the rated output (here, 1400 kW) when the difference Δy (x) takes the maximum value (Δy_max (x)). The performance determining unit 23 may calculate the rated output of 1400 kW in the same manner as this, and may use it as the performance of the storage battery to be introduced to the consumer.

The output unit 30 outputs information on the storage battery performance determined by the performance determination unit 23 and information on the storage battery introduction start time determined by the time determination unit 22 to the outside. For example, the output unit 30 can display the storage battery performance and the introduction start time on the display device by outputting the information to the display device.

The storage unit 12 stores a computer program and various data for processing of the storage battery introduction support device 1.

Specifically, the storage battery introduction support device 1 is a computer (server device or client device) or tablet provided with a CPU (Central Processing Unit), ROM (Read Only Memory), RAM (Random Access Memory), input / output I / F, and the like. It can be realized by a terminal or the like. The storage unit 12 is composed of a ROM, a RAM, or the like, and the processing units 10, 20, and 30 are functionally realized by executing the computer program stored in the storage unit 12 on the CPU. The computer program may be a program that runs on specific software (for example, a macro that runs on spreadsheet software).

<Processing procedure of storage battery introduction support device 1>
FIG. 5 is a flowchart showing a processing procedure of the storage battery introduction support device 1 according to the first embodiment of the present disclosure.

With reference to FIG. 5, the acquisition unit 10 acquires the actual data of the electric power demand for one year input from the consumer (S1).

The calculation unit 21 calculates the power consumption cost for one year (see FIG. 3) based on the actual power demand data acquired in step S1 (S2).

The acquisition unit 10 reads out the cost-effectiveness information (see FIG. 2) stored in advance in the storage unit 12 from the storage unit 12 (S3).

The time point determination unit 22 determines the time point at which the storage battery is introduced to the consumer based on the cost-effectiveness information read in step S3 and the power consumption cost calculated in step S2 (S4).

Based on the cost-effectiveness information, the performance determination unit 23 determines the storage battery performance that maximizes the cost-effectiveness at the start of introduction determined in step S4 as the storage battery performance to be introduced to the consumer (S5). ..

The output unit 30 outputs the storage battery performance determined in step S5 and the introduction start time determined in step S4 to the outside (S6).

<Effect of Embodiment 1>
As described above, according to the first embodiment, the support information for supporting the determination of the introduction start time of the storage battery is generated based on the cost-effectiveness information (cost-related information) and the actual data of the electric power demand of the consumer. can do. Therefore, it is possible to determine when to start introducing the storage battery, which is advantageous in terms of cost for the consumer. That is, it is possible to determine the introduction start time of the storage battery in which the cost-effectiveness of introducing the storage battery becomes larger than that in the conventional case.

Specifically, the time point determination unit 22 determines the introduction start time point of the storage battery based on the cost-effectiveness information and the power consumption cost information. Therefore, it is possible to determine the introduction start time of the storage battery in consideration of the power consumption cost.

Further, the time point determination unit 22 is a time point in which the performance of the storage battery at which the change in the power consumption cost due to the change in the performance of the storage battery starts to converge and the performance of the storage battery that maximizes the cost effectiveness are matched among the plurality of time points. Is determined as the starting point for the introduction of storage batteries. Therefore, it is possible to determine the introduction start time of the storage battery that maximizes the cost-effectiveness of introducing the storage battery while considering the power consumption cost.

Further, the performance determination unit 23 determines the performance of the storage battery that maximizes the cost effectiveness at the time of the introduction start determined by the time determination unit 22 as the performance of the storage battery to be introduced to the consumer. Therefore, the performance of the storage battery to be introduced can be determined so as to maximize the cost effectiveness.

[Embodiment 2]
In the second embodiment, the time point at which the storage battery is introduced to the customer is determined based on the investment payback period of the storage battery when the storage battery is introduced to the customer.

The functional configuration of the storage battery introduction support device according to the second embodiment is the same as the functional configuration of the storage battery introduction support device 1 according to the first embodiment shown in FIG. However, the operation of the processing unit constituting the storage battery introduction support device 1 is partially different. Hereinafter, the points different from those of the first embodiment will be mainly described.

<Processing procedure of storage battery introduction support device 1>
FIG. 6 is a flowchart showing a processing procedure of the storage battery introduction support device 1 according to the second embodiment of the present disclosure.

With reference to FIG. 6, the acquisition unit 10 acquires the actual data of the electric power demand for one year input from the consumer (S1).

FIG. 7 is a diagram showing an example of a display screen of the display device. On the display screen connected to the storage battery introduction support device 1, the actual data input field 61, the demand pattern output field 62, and the result display field 63 are displayed. The acquisition unit 10 acquires, as actual data, the peak electric power, the average electric power, the nighttime electric power, and the electric power type in the electric power demand of the consumer for one year, which is input by the electric consumer in the actual data input field 61.

The calculation unit 21 calculates the power consumption cost for one year based on the actual power demand data acquired in step S1 (S2).

The calculation unit 21 calculates the electric power demand pattern of the consumer based on the actual electric power demand data acquired in step S1 (S11). The method of calculating the demand pattern is not limited, but for example, the calculation unit 21 corrects a preset general consumer power demand pattern based on the consumer's actual data. , Calculate the electricity demand pattern of the consumer.

The output unit 30 outputs the calculated demand pattern to the display device to display the demand pattern on the display device (S12). As a result, for example, the demand pattern as shown in the demand pattern output column 62 of FIG. 7 is displayed. The horizontal axis of the demand pattern shows time, and the vertical axis shows the power demand of consumers. The demand pattern output column 62 shows a demand pattern for a certain day, but the demand pattern may be different for each day.

The acquisition unit 10 acquires the introduction cost-related information related to the introduction cost of the storage battery at a plurality of time points as the cost-related information (S13). The acquisition unit 10 acquires the introduction cost-related information by reading the introduction cost-related information stored in advance in the storage unit 12, for example. The introduction cost-related information indicates, for example, the annual storage battery price.

FIG. 8 is a diagram showing an example of introduction cost-related information. The horizontal axis of FIG. 8 indicates the year, and the vertical axis indicates the storage battery price [dollar / kWh]. The introduction cost-related information shows, for example, the storage battery price 51 from 2013 to 2019 and the predicted storage battery price 53 from 2020 to 2022. The predicted storage battery price 53 is calculated based on an approximate curve 52 that approximates the storage battery price 51. Although FIG. 8 shows the lithium storage battery price up to 2022, the storage battery price after 2023 can be predicted in the same manner. Further, it is possible to obtain an approximate curve by the same method for storage batteries having different principles.

The calculation unit 21 calculates the investment payback period of the storage battery when the storage battery is introduced at a plurality of time points as support information for supporting the determination of the introduction start time of the storage battery based on the introduction cost-related information and the actual data. (S14). That is, the calculation unit 21 recovers the investment of the storage battery when the storage battery is introduced at a plurality of time points based on the demand pattern calculated based on the actual data in step S11 and the introduction cost-related information acquired in step S13. Calculate the period.
The payback period T (t) is calculated by, for example, Equation 2 below.
T (t) = C (t, P) / D (P) ... (Equation 2)
Here, t: At the start of introduction of the storage battery
T (t): Investment payback period for storage batteries with optimum performance (investment payback years)
P: Optimal storage battery performance for investment recovery
C (t, P): Storage battery introduction cost
D (P): Cost merit per year The investment payback period T (t) indicates the period until the storage battery introduction cost C (t, P) is recovered. The introduction cost of the storage battery represented by C (t, P) may include incidental costs such as transportation cost and installation cost of the storage battery in addition to the price of the storage battery. That is, the introduction cost may include all the costs required for introducing the storage battery.

The exact solution of the payback period can be obtained by performing an optimal operation simulation using the mathematical programming method.

The time point determination unit 22 determines the introduction start time point of the storage battery based on the investment payback period T (t) when the storage battery is introduced at a plurality of time points t calculated by the calculation unit 21 (S15). That is, the time point determination unit 22 calculates the investment recovery time t ′ when the storage battery is introduced at a plurality of time points t based on the following equation 3.
t'= t + T (t) ... (Equation 3)

The time point determination unit 22 determines the time t corresponding to the investment recovery time t', which is the earliest investment recovery time, among the plurality of investment recovery times t', as the time when the storage battery is introduced.

FIG. 9 is a diagram for explaining a method of determining a storage battery introduction start time. The horizontal axis shows the year, and the vertical axis shows different patterns at the start of introduction of the storage battery. Patterns A, B, C and D have 2019, 2020, 2021 and 2022 as the start of introduction of the storage battery, respectively. Comparing the payback times based on the payback period 54 of each pattern, the payback time of pattern C is around the beginning of 2026, which is the earliest. Therefore, the time point determination unit 22 determines 2021 as the start time of introduction of the storage battery.

The performance determination unit 23 determines the performance of the storage battery to be introduced to the consumer based on the power consumption cost information calculated in step S2 (S16). For example, referring to FIG. 4, the time-determining unit 22 introduces the rated output (here, 1400 kW) when the difference Δy (x) takes the maximum value (Δy_max (x)) to the consumer. Determine the performance of the storage battery.

The output unit 30 outputs image information indicating the investment payback period and the cost merit per year when the storage battery is introduced at each of the plurality of time points to the display device (S17). As a result, the display device displays, for example, the image shown in the result display field 63 of FIG. The result display column 63 includes an investment recovery graph 64 and an annual cost merit 65. The investment recovery graph 64 shows the investment recovery period when the storage battery is introduced for each pattern at the start of introduction of the storage battery shown in patterns A to F. The horizontal axis shows the year and the vertical axis shows the pattern. As can be seen from the investment recovery graph 64, the investment recovery time is earlier in the order of pattern A → pattern C → pattern B → pattern D → pattern E → pattern F. The annual cost merit 65 is higher in the order of pattern F → pattern E → pattern D → pattern C → pattern B → pattern A. In other words, it is shown that the later the introduction start time of the storage battery, the higher the cost merit for one year.

The output unit 30 may output the introduction start time point determined in step S15 to the display device, and the display device may display the introduction start time point. As a result, the consumer can know when to start introducing the storage battery, which has the earliest payback period.

In addition, the consumer may determine the introduction start time of the storage battery by comparing the investment payback time with the annual cost merit by looking at the result display column 63 shown in FIG. 7.

<Effect of Embodiment 2>
As described above, according to the second embodiment, it is possible to determine the introduction start time of the storage battery by comparing the investment payback periods when the storage battery is introduced at a plurality of time points.

In addition, it is possible to present the consumer with image information indicating the payback period. Therefore, the consumer can determine the introduction start time from the image information.

In addition, the time when the storage battery is introduced can be determined from the viewpoint of the investment recovery time. Therefore, it is possible to determine the introduction start time point at which the investment payback time is the earliest.

[Additional Notes]
Although the storage battery introduction support device 1 according to the embodiment of the present disclosure has been described above, the present disclosure is not limited to this embodiment.

For example, in the above-described embodiment, the storage battery performance has been described as the rated output of the storage battery, but the storage battery performance is not limited to this. For example, the rated capacity of the storage battery can be set as the storage battery performance.

Further, the storage battery introduction support device 1 may be realized by a plurality of computers.
Further, some or all the functions of the storage battery introduction support device 1 may be provided by cloud computing.

Further, at least a part of the above embodiments may be arbitrarily combined. For example, the present disclosure can be realized as Appendix 1 below.

<Appendix 1>
An acquisition unit that acquires cost-related information on the cost of storage batteries at multiple time points and actual data on the electricity demand of consumers.
A determination unit for determining the start time of introduction of the storage battery to the customer based on the cost-related information and the actual data acquired by the acquisition unit is provided.
As the cost-related information, the acquisition unit acquires cost-effectiveness information indicating cost-effectiveness for the performance of the storage battery at the plurality of time points.
The decision unit
Based on the actual data, a calculation unit that calculates power consumption cost information indicating the relationship between the performance of the storage battery and the power consumption cost of the consumer, and a calculation unit.
Includes a time point determination unit that determines the introduction start time based on the cost-effectiveness information and the power consumption cost information calculated by the calculation unit.
Among the plurality of time points, the time point determination unit includes the performance of the storage battery at which the change in the power consumption cost due to the change in the performance of the storage battery begins to converge, and the performance of the storage battery at which the cost effectiveness is maximized. Is determined as the time point at which the introduction starts,
The determination unit further determines the performance of the storage battery at which the change in the power consumption cost due to the change in the performance of the storage battery begins to converge as the performance of the storage battery to be introduced to the customer. Including, storage battery introduction support device.

It should be considered that the embodiments disclosed this time are exemplary in all respects and not restrictive. The scope of the present disclosure is indicated by the scope of claims, not the above-mentioned meaning, and is intended to include all modifications within the meaning and scope equivalent to the scope of claims.

1 Storage battery introduction support device 10 Acquisition unit 20 Generation unit 21 Calculation unit 22 Time point determination unit 23 Performance determination unit 30 Output unit 41 Approximate curve 42 Differential curve 43 Approximate straight line 51 Storage battery price 52 Approximate curve 53 Predicted storage battery price 54 Investment payback period 61 Actual results Data entry field 62 Demand pattern output field 63 Result display field 64 Investment recovery graph 65 Annual cost merit

Claims (10)

An acquisition unit that acquires cost-related information on the cost of storage batteries at multiple time points and actual data on the electricity demand of consumers.
Storage battery introduction support including a generation unit that generates support information for supporting determination of a start time of introduction of the storage battery to the customer based on the cost-related information acquired by the acquisition unit and the actual data. apparatus. The storage battery introduction support device according to claim 1, wherein the acquisition unit acquires cost-effectiveness information indicating cost-effectiveness for the performance of the storage battery at the plurality of time points as the cost-related information. The generator
Based on the actual data, a calculation unit that calculates power consumption cost information indicating the relationship between the performance of the storage battery and the power consumption cost of the consumer, and a calculation unit.
The storage battery introduction support according to claim 2, which includes the time-determining unit for determining the introduction start time as the support information based on the cost-effectiveness information and the power consumption cost information calculated by the calculation unit. apparatus. Among the plurality of time points, the time point determination unit includes the performance of the storage battery at which the change in the power consumption cost due to the change in the performance of the storage battery begins to converge, and the performance of the storage battery at which the cost effectiveness is maximized. The storage battery introduction support device according to claim 3, wherein a time point in which the difference between the two is within a certain range is determined as the introduction start time point. The generator further
4. The fourth aspect of the present invention includes a performance determining unit that determines the performance of the storage battery that maximizes the cost-effectiveness at the time of starting the introduction determined by the time-determining unit as the performance of the storage battery to be introduced to the customer. The storage battery introduction support device described in. As the cost-related information, the acquisition unit acquires the introduction cost-related information related to the introduction cost of the storage battery at the plurality of time points.
The generator
The first aspect of claim 1, wherein the support information includes a calculation unit for calculating an investment payback period of the storage battery when the storage battery is introduced at a plurality of time points based on the introduction cost-related information and the actual data. Storage battery introduction support device. further,
The storage battery introduction support device according to claim 6, further comprising an output unit that outputs image information indicating an investment payback period of the storage battery when the storage battery is introduced at each of the plurality of time points. The generator further
The storage battery introduction support device according to claim 6 or 7, which includes a time point determination unit that determines the introduction start time based on the investment payback periods at the plurality of time points calculated by the calculation unit. Steps to obtain cost-related information on the cost of storage batteries at multiple time points and actual data on the electricity demand of consumers,
A storage battery introduction support method including a step of generating support information for supporting a determination of a start time of introduction of the storage battery to the customer based on the acquired cost-related information and the actual data. Computer,
An acquisition unit that acquires cost-related information on the cost of storage batteries at multiple time points and actual data on the electricity demand of consumers.
A computer for functioning as a generation unit for generating support information for supporting a determination of a start time of introduction of the storage battery to the customer based on the cost-related information and the actual data acquired by the acquisition unit. program.

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