Power failure damage calculation device, computer program for power failure damage calculation device and power failure damage calculation method
The power outage damage calculation device accurately determines consumer-specific damage costs by integrating consumer information and device data, addressing inaccuracies in existing methods and facilitating informed decision-making.
Patent Information
- Application Number
- JP2024023116
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2024-02-19
- Publication Date
- 2025-08-29
AI Technical Summary
Existing methods for calculating power outage damage are inadequate as they fail to account for the varying impacts on individual consumers, leading to inaccurate compensation and lack of visibility in damage costs, which are crucial for consumers and power suppliers.
A power outage damage calculation device and method that inputs consumer information, calculates loss amounts, and determines damage costs per unit of power using sensors, detection devices, and stored data to provide accurate damage cost calculations.
Enhances the accuracy of damage cost calculations by considering consumer-specific factors, enabling precise compensation determination and facilitating informed decision-making on power outage preparedness.
Smart Images

Figure 2025126726000001_ABST
Abstract
Description
[Technical Field]
[0001] The present embodiment relates to a power outage damage calculation device, a computer program for the power outage damage calculation device, and a power outage damage calculation method that calculate and evaluate costs related to damage caused by a power outage in a power grid. [Background technology]
[0002] There are known systems that quantify the amount of damage caused by a power outage in a power grid, and there are also known systems that reduce the workload of respondents when confirming the intentions of the parties involved in the process of determining the amount of damage caused by an accident. [Prior art documents] [Patent documents]
[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2023-142394 [Patent Document 2] Japanese Patent Application Publication No. 2019-134497 [Patent Document 3] Japanese Patent Publication No. 2022-121010 [Patent Document 4] Japanese Patent Application Laid-Open No. 2005-316756 [Patent Document 5] Japanese Patent Application Laid-Open No. 2007-304842 Summary of the Invention [Problem to be solved by the invention]
[0004] The recent liberalization of the electricity market has promoted the use of renewable energy sources such as solar and wind power. Furthermore, electric vehicles are becoming more popular as a means of transportation, and electricity is becoming increasingly important among the energy forms used by society. Meanwhile, power outages caused by natural disasters such as typhoons and earthquakes, man-made disasters such as terrorist acts and cyber attacks, and aging equipment are occurring frequently. Understanding the impact of power outages has become a major challenge.
[0005] With the increasing importance of electricity these days, power outages can cause significant damage. Traditionally, damages due to power outages have been calculated by converting them into the amount of electricity supply that was interrupted. For example, the amount of damages has been calculated based on the total amount of electricity (kWh) during the event in which the supply was interrupted, or the amount of electricity (kWh) per hour of power outage.
[0006] However, there was a problem in that the amount converted into the amount of electricity supply that was stopped was insufficient to calculate the amount of damage caused by the power outage. This is because the impact of a power outage varies from customer to customer, and the attributes, backgrounds, and conditions of the power outage vary, making it impossible to guarantee the accuracy of the figures when calculating the amount of damage.
[0007] There is a tendency for power suppliers to pay compensation equivalent to the amount of damage caused by power outages. Such compensation is calculated based on the amount of damage caused by the power supply interruption. The amount of damage is preferably calculated based on a standard damage cost. The damage cost needs to be agreed upon between the power supplier and the consumer. For this reason, it is preferable that the damage cost, which is the basis for calculating compensation, be made visible.
[0008] Furthermore, the unbundling of the electricity market has made electricity prices more accessible to users, including general consumers, and public awareness of countermeasures and financial planning for natural and man-made disasters is increasing. As part of this, there is an increasing need to visualize the benefits when analyzing the costs and benefits of introducing countermeasures against power outages.
[0009] Consumers consider investing in equipment to prepare for power outages by comparing the damage costs associated with losses that are predicted to occur due to power outages with the value they will gain from avoiding power outages (sometimes called "power outage avoidance benefits"). Even when quantifying the benefits of power outage avoidance, it is preferable that the damage costs be made visible.
[0010] The present embodiment aims to provide a power outage damage calculation device, a computer program for the power outage damage calculation device, and a power outage damage calculation method that can visualize the damage cost that serves as the basis for calculating the amount of damage related to losses caused by a power outage. [Means for solving the problem]
[0011] The power outage damage calculation device of this embodiment has the following features. (1) An input unit is provided for inputting consumer information, which is information relating to the manner in which a consumer who uses electricity uses electricity. (2) A loss amount calculation unit is provided that calculates the loss amount of damage caused by a power outage to a power consumer that uses electricity based on the consumer information input to the input unit. (3) A damage cost calculation unit is provided that calculates a damage cost, which is the amount of damage per unit amount of power, based on the amount of loss calculated by the loss amount calculation unit. [Brief explanation of the drawings]
[0012] [Figure 1] FIG. 1 is a diagram showing the configuration of a power outage damage calculation device 1 according to a first embodiment. [Figure 2] FIG. 1 is a diagram showing a program flow of the power outage damage calculation device 1 according to the first embodiment. [Figure 3] FIG. 10 is a diagram showing hourly production volume information D101 of the power outage loss calculation device 1 according to the first embodiment. [Figure 4] FIG. 10 is a diagram showing power dependency information D102 of the power outage damage calculation device 1 according to the first embodiment. [Figure 5] FIG. 10 is a diagram showing hourly power amount information D103 of the power outage damage calculation device 1 according to the first embodiment. [Figure 6] FIG. 10 is a diagram showing product price data D301 of the power outage damage calculation device 1 according to the first embodiment. [Figure 7] FIG. 10 is a diagram showing labor cost data D302 of the power outage loss calculation device 1 according to the first embodiment. [Figure 8] FIG. 10 is a diagram showing restart cost data D303 of the power outage damage calculation device 1 according to the first embodiment. [Figure 9] FIG. 10 shows the completion ratio data D104 of the power outage damage calculation device 1 according to the first embodiment. [Figure 10] FIG. 10 is a diagram showing the configuration of a power outage damage calculation device 1 according to a second embodiment. [Figure 11] FIG. 10 is a diagram showing a program flow of the power outage damage calculation device 1 according to the second embodiment. [Figure 12] FIG. 10 is a diagram showing damage cost accumulation data D304 of the power outage damage calculation device 1 according to the second embodiment. [Figure 13] FIG. 10 is a diagram showing the configuration of a power outage damage calculation device 1 according to a third embodiment. [Figure 14] FIG. 10 is a diagram showing a program flow of the power outage damage calculation device 1 according to the third embodiment. [Figure 15] FIG. 10 is a diagram showing lifestyle information D152 of the power outage loss calculation device 1 according to the third embodiment. [Figure 16] FIG. 10 is a diagram showing lifestyle-specific damage cost data D351 of the power outage damage calculation device 1 according to the third embodiment. [Figure 17] FIG. 10 is a diagram showing owned property cost data D352 of the power outage damage calculation device 1 according to the third embodiment. [Figure 18] FIG. 10 is a diagram showing the configuration of a power outage damage calculation device 1 according to a fourth embodiment. [Figure 19] FIG. 10 is a diagram showing a program flow of the power outage damage calculation device 1 according to the fourth embodiment. [Figure 20] FIG. 10 is a diagram showing damage cost accumulation data D354 of the power outage damage calculation device 1 according to the fourth embodiment. [Figure 21] FIG. 10 is a diagram showing the configuration of a power outage damage calculation device 1 according to a fifth embodiment. [Figure 22] FIG. 13 is a diagram showing a display example of damage cost display data D356 of the power outage damage calculation device 1 according to the fifth embodiment. DETAILED DESCRIPTION OF THE INVENTION
[0013] [First embodiment] [1-1.Configuration] As an example of this embodiment, the configuration of a power outage damage calculation device 1 will be described with reference to Figure 1. In this embodiment, when there are multiple devices or components with the same configuration, they will be described with the same number, and when describing each individual device or component with the same configuration, they will be distinguished by adding an alphabetic suffix to the common number.
[0014] The power outage damage calculation device 1 is configured by a computer. The power outage damage calculation device 1 calculates and outputs damage costs, which are the costs associated with losses caused by power outages. The power outage damage calculation device 1 is used to support communication with electricity consumers.
[0015] The power outage damage calculation device 1 has an input unit 10, a calculation unit 20, a storage unit 30, and an output unit 40.
[0016] The input unit 10 is configured with operation devices such as touch switches arranged on a display, a keyboard, a mouse, or the like, or a receiving circuit and an external memory connection circuit. The input unit 10 is connected to the calculation unit 20. The input unit 10 includes a production amount input unit 101, a power dependency input unit 102, and a power consumption input unit 103.
[0017] The input unit 10 receives data transmitted from outside the power outage damage calculation device 1 or data input by an operator.
[0018] The production volume input unit 101 receives hourly production volume information D101 transmitted from a sensor 71 (described later) or is operated by an operator. The hourly production volume information D101 is information on the hourly production volume produced in the absence of a power outage at the facilities or business premises of industrial consumers who are producers. An example of the hourly production volume information D101 is shown in FIG. 3.
[0019] As an example, a sensor 71 is installed at each facility 70 of a consumer. If the consumer is a manufacturer, the facilities 70a, 70b, and 70c are production lines. Sensors 71a, 71b, and 71c are installed at the facilities 70a, 70b, and 70c, respectively. Sensors 71a, 71b, and 71c are configured to count the number of products produced. Sensors 71a, 71b, and 71c count the number of finished products for each production line and transmit hourly production volume information D101, which includes information on the number of products produced per hour on the production line, to the production volume input unit 101, for example.
[0020] If the consumer is a business that sells products, the facilities 70a, 70b, and 70c may be storage facilities such as freezers, for example. The sensors 71a, 71b, and 71c are disposed in the facilities 70a, 70b, and 70c, respectively. The sensors 71a, 71b, and 71c are configured as sensors that count the number of products produced. The sensors 71a, 71b, and 71c count the number of products produced in each storage facility and transmit hourly production volume information D101, which includes information on the number of products released from the storage facility per hour, to the production volume input unit 101. The sensors 71a, 71b, and 71c may be weight sensors that measure the weight of products instead of the above sensors, or may be accounting systems or POS systems.
[0021] The hourly production volume information D101 may be input by a worker operating an input device such as a keyboard.
[0022] The production input unit 101 transmits the input hourly production information D101 to the calculation unit 20.
[0023] The power dependency input unit 102 receives power dependency information D102, which is transmitted from a measuring device 72 (described later) or is operated by an operator. The power dependency information D102 indicates the degree to which a product's manufacturing process or sales process depends on power when no power outage occurs. An example of the power dependency information D102 is shown in FIG. 4.
[0024] If the consumer is a manufacturing company, the power dependency information D102 indicates the power dependency of, for example, a production line facility 70. If the consumer is a business that sells products, the power dependency information D102 indicates the power dependency of, for example, a storage facility such as a freezer.
[0025] The measuring device 72a, the measuring device 72b, and the measuring device 72c may be sensing tools such as data loggers.
[0026] If the consumer is a manufacturer, for example, the measuring device 72a, the measuring device 72b, and the measuring device 72c are arranged in facilities 70a, 70b, and 70c, which are production lines, respectively. The measuring device 72a, the measuring device 72b, and the measuring device 72c calculate power dependency based on information on the amount of power consumed per hour and the production volume on the production line, for example, and transmit the calculated power dependency information D102 to the power dependency input unit 102.
[0027] If the consumer is a business operator engaged in sales, for example, the measuring device 72a, measuring device 72b, and measuring device 72c are placed in facilities 70a, 70b, and 70c, which are storage facilities such as freezers, respectively. The measuring device 72a, measuring device 72b, and measuring device 72c calculate power dependency based on information related to the amount of power consumed and production volume per hour in the storage facilities such as freezers, and transmit the calculated power dependency information D102 to the power dependency input unit 102.
[0028] The power dependency information D102 may be input by an operator operating an input device such as a keyboard. The power dependency information D102 may be data calculated based on the amount of power consumed by the consumer's equipment. The power dependency information D102 may be calculated by an externally installed device and input every hour.
[0029] The power dependency input unit 102 transmits the input power dependency information D102 to the calculation unit 20.
[0030] The power consumption input unit 103 receives hourly power amount information D103, which is transmitted from the detection device 73 (described later) or is operated by an operator. The hourly power amount information D103 is information on the amount of power consumed per hour in facilities, offices, etc. of industrial consumers (producers) when there is no power outage. An example of the hourly power amount information D103 is shown in Fig. 5.
[0031] The detection devices 73a, 73b, and 73c may be, for example, power amount detection devices or electric power detection devices. The power amount detection devices may be so-called smart meters. The detection devices 73a, 73b, and 73c may be other sensing tools such as data loggers.
[0032] If the consumer is a manufacturer, for example, the detectors 73a, 73b, and 73c are installed in facilities 70a, 70b, and 70c, which are production lines, respectively. The detectors 73a, 73b, and 73c transmit information on the amount of power consumed per hour in the production line, for example, to the power consumption input unit 103 as hourly power amount information D103.
[0033] When the consumer is a business operator engaged in sales, for example, the detection device 73a, the detection device 73b, and the detection device 73c are respectively installed in facilities 70a, 70b, and 70c, which are storage facilities such as freezers. The detection device 73a, the detection device 73b, and the detection device 73c transmit information on the amount of power consumed per hour in the storage facilities such as freezers as hourly power amount information D103 to the power consumption input unit 103.
[0034] The hourly power amount information D103 may be input by an operator operating an input device such as a keyboard.
[0035] The power consumption input unit 103 transmits the input hourly power amount information D103 to the calculation unit 20.
[0036] The storage unit 30 is configured with a storage medium such as a hard disk or semiconductor memory. The storage unit 30 is connected to the calculation unit 20 and the input unit 10. The storage unit 30 has data writing and reading controlled by the calculation unit 20 or the input unit 10.
[0037] The storage unit 30 stores product price data D301, labor cost data D302, and restart cost data D303, which are data related to the customer's manufacturing operations. The product price data D301, labor cost data D302, and restart cost data D303 are set and stored in the storage unit 30 in advance.
[0038] The product price data D301 is data in which the unit price of a product is recorded for each type of customer, by production period and unit amount. An example of the product price data D301 is shown in FIG.
[0039] The labor cost data D302 is data that records labor costs when there is no power outage. The labor cost data D302 includes data such as the number of employees working within a predetermined time period and hourly wages. The labor cost data D302 may be labor costs paid when manufacturing operations are stopped due to a power outage. If employees have multiple wage types, the labor cost data D302 may include data on the number of employees and wages for each wage type. An example of the labor cost data D302 is shown in Figure 7.
[0040] The restart cost data D303 is data that records the costs required to restart equipment that has stopped due to a power outage. The restart cost data D303 is often a fixed amount regardless of the duration of the power outage. An example of the restart cost data D303 is shown in FIG. 8.
[0041] The calculation unit 20 is configured by a calculation unit of a microcomputer or the like. The calculation unit 20 may be configured by a software module of the calculation unit. The calculation unit 20 is connected to the input unit 10, the memory unit 30, and the output unit 40. The calculation unit 20 has a loss amount calculation unit 201 and a damage cost calculation unit 202. The calculation unit 20 performs calculation processing using each of the above units.
[0042] The loss amount calculation unit 201 calculates the loss amount based on the hourly production volume information D101 input to the production volume input unit 101, the product price data D301 stored in the storage unit 30, and the labor cost data D302, and creates loss amount data D201.
[0043] The loss amount data D201 is data relating to the amount of production that could not be produced due to the power outage. The loss amount calculation unit 201 transmits the loss amount data D201 to the output unit 40, which outputs the data.
[0044] The damage cost calculation unit 202 creates damage cost data D202 based on the power dependency information D102 input to the power dependency input unit 102, the hourly power consumption information D103 input to the power consumption input unit 103, the restart cost data D303 stored in the memory unit 30, and the loss amount data D201 created by the loss amount calculation unit 201.
[0045] The damage cost data D202 is data on damage costs that serve as the basis for calculating the amount of damage. The amount of damage is the amount of damage caused to consumers due to power outages. The damage cost is the amount of damage per unit of power (for example, 1 kWh).
[0046] The damage cost related to the damage cost data D202 may include labor costs for products that could not be produced due to the power outage and costs related to the amount of damage required to restore the power outage. The damage cost calculation unit 202 transmits the damage cost data D202 to the output unit 40, causing it to be output.
[0047] The output unit 40 is configured by a device such as a display device or a printer, or a transmission circuit, an external memory connection circuit, etc. The output unit 40 outputs the loss amount data D201 created by the loss amount calculation unit 201 and the damage cost data D202 created by the damage cost calculation unit 202 as a display, printout, or electronic data.
[0048] The output unit 40 may be connected to a public electronic communication medium or a public electronic communication line, such as the Internet or a mobile phone communication line. The output unit 40 makes the loss amount data D201 and the damage cost data D202 public on the website of the local government, etc.
[0049] The above is the configuration of the power outage damage calculation device 1 according to this embodiment.
[0050] [1-2. Effect] Next, an outline of the operation of the power outage damage calculation device 1 of this embodiment will be described with reference to FIGS.
[0051] The amount of damage suffered due to a power outage and the amount that could not be received due to a power outage are called "loss amount." Of the loss amount, the amount related to damage caused by the power outage is called "damage amount." Damage amount is the monetary value of the property damage and opportunity loss suffered by customers due to the power outage, and does not mean the amount paid as a guarantee for the power outage by those responsible for the power supply. The amount of damage per unit of electricity, which is the basis for calculating the amount of damage, is called "damage cost." For example, if the unit of electricity is 1kWh, damage cost is the amount of damage per 1kWh of electricity that was out of service.
[0052] The power outage damage calculation device 1 according to this embodiment calculates the damage cost that serves as the calculation standard for the amount of damage. The power outage damage calculation device 1 is used by local governments, electric power companies, and individual consumers.
[0053] Consumer information, which is information relating to the usage patterns of power in consumers who use power, is input to the input unit 10. In this embodiment, the consumer information input to the input unit 10 includes a power dependency F1 that indicates the proportion of damage caused by a power outage that is attributable to the power outage.
[0054] The consumer information input to the input unit 10 includes at least one of production volume information and labor cost information related to production at the consumer. The production volume information may be hourly production volume information D101, which will be described later. The labor cost information may be labor cost data D302, which will be described later. The consumer information may also be power dependency information D102, hourly power consumption information D103, completion ratio data D104, product price data D301, and restart cost data D303, which will be described later. The power dependency F1 is included in the power dependency information D102.
[0055] The input unit 10 may detect the amount of production at the consumer related to the production amount information using a sensor and input the detected amount as consumer information. The data input to the input unit 10 may be received from a site on the Internet or the like.
[0056] The power loss calculation unit 201 calculates the power loss amount for damages caused by a power outage at a power consumer based on the consumer information input to the input unit 10.
[0057] The damage cost calculation unit 202 calculates the damage cost, which is the amount of damage per unit amount of power, based on the amount of loss calculated by the loss amount calculation unit 201. In this embodiment, the damage cost calculation unit 202 multiplies the amount of loss calculated by the loss amount calculation unit 201 by the power dependency F1 included in the consumer information input to the input unit 10 to calculate the damage cost.
[0058] Damage costs are generally determined by mutual agreement between the consumer and the power company. In calculating damage costs, the consumer is provided with information in advance, such as the duration of the power outage, the time of day, day of the week, season, and other occurrence conditions, as well as the presence or absence of emergency power generation equipment and the frequency of previous power outages.
[0059] Damage costs for consumers are determined based on the operational performance and accounting performance of facilities such as factories.
[0060] Damage costs for consumers are determined based on the amount they are willing to pay (WTP: Willingness to Pay) to avoid damage caused by a power outage, and the minimum amount they would like to receive (WTA: Willingness to Accept) if damage caused by a power outage occurs, in addition to the facility's operational record and accounting record. WTP and WTA are calculated by statistically processing consumers' responses to a questionnaire.
[0061] Conventionally, damage costs have often been calculated based on responses to questionnaires from consumers. As a result, the accuracy of damage costs has been low for the following reasons: a) The value provided by electricity is not easily recognized. Also, power outages do not occur frequently. For this reason, consumers were not accustomed to answering questionnaires about damage costs. b) The damage cost questionnaire required responses to multiple detailed conditions, making answering the questionnaire a cumbersome task for consumers. c) The purpose of the damage cost survey was not fully understood, which resulted in inaccurate responses from consumers. d) When the customer is a manufacturing company, the amount of data related to manufacturing is enormous. It is cumbersome for the customer to extract data related to damage costs from the vast amount of data, and the responses to the questionnaire are inaccurate.
[0062] The power outage damage calculation device 1 according to this embodiment calculates damage costs with a higher degree of accuracy. Details of the operation of the power outage damage calculation device 1 are as follows. Below, the calculated damage costs C1, C2, C3, and C4 may be collectively referred to as damage cost C. Furthermore, the loss amounts A1 and A2 may be collectively referred to as loss amount A.
[0063] The production volume input unit 101 receives as input hourly production volume information D101 transmitted from the sensor 71. The hourly production volume information D101 may be input by an operator operating an input device such as a keyboard. The hourly production volume information D101 is information regarding the hourly production volume produced in the facilities, offices, etc. of industrial consumers who are producers when there is no power outage.
[0064] When the customer is a manufacturer, the sensor 71 is placed in a facility 70, which is a production line. The sensor 71 is configured by a sensor that counts the production quantity, and transmits hourly production quantity information D101, which is information regarding the quantity of products per hour on the production line, to the production quantity input unit 101.
[0065] When the consumer is a business that sells products, the sensor 71 is placed in the facility 70, which is a storage facility such as a freezer. The sensor 71 is configured by a sensor that counts the production quantity, and transmits hourly production quantity information D101, which is information on the quantity of products shipped from the storage facility per hour, to the production quantity input unit 101.
[0066] An example of the hourly production volume information D101 is shown in Fig. 3. As shown in Fig. 3, the hourly production volume information D101 indicates the production quantity, product unit price, and production amount for each time period when no power outage occurs. For example, it indicates that the production quantity for production between 10:00 and 11:00 is 20 units, the product unit price is 10,000 yen, and the production amount is 200,000 yen.
[0067] The production quantity for each time period in the hourly production volume information D101 may be a quantity calculated including the yield rate, which is collected by a production management device (not shown) or the like.
[0068] The production input unit 101 transmits the input hourly production information D101 to the calculation unit 20.
[0069] The power dependency input unit 102 receives power dependency information D102 transmitted from the measuring device 72. The power dependency information D102 may be input by an operator operating an input device such as a keyboard. The power dependency information D102 indicates the degree to which the manufacturing process or sales process depends on power when no power outage occurs.
[0070] If the consumer is a manufacturing company, the measuring device 72 is placed in the production line facility 70. The measuring device 72 is configured with a sensing tool such as a data logger, calculates the hourly power dependency of the production line facility 70, and transmits it to the power dependency input unit 102 as power dependency information D102.
[0071] If the consumer is a business that sells energy, the measuring device 72 is placed in the facility 70, which is a storage facility such as a freezer. The measuring device 72 is configured with a sensing tool such as a data logger, calculates the hourly power dependency of the facility 70, which is a storage facility such as a freezer, and transmits the power dependency information D102 to the power dependency input unit 102.
[0072] An example of the power dependency information D102 is shown in Fig. 4. As shown in Fig. 4, the power dependency information D102 indicates the power dependency for each time period in which no power outages occur. For example, it indicates that the power dependency for production between 10:00 and 11:00 is 80%.
[0073] For example, if production in a production process is completely independent of electricity, the power dependency is 0%. If a power outage has no effect on production, the power dependency is 0%. On the other hand, if production in a production process stops without electricity, the power dependency is 100%. If production stops due to a power outage, the power dependency is 100%.
[0074] The impact on production after a power outage may be set using a regression equation, such as immediate, time-proportional, or after a certain period of time has passed. Furthermore, if a power outage reduces production efficiency in a production process, a value between 0% and 100% is used as the power dependency.
[0075] The power dependency input unit 102 transmits the input power dependency information D102 to the calculation unit 20.
[0076] The power consumption input unit 103 receives as input hourly power amount information D103 transmitted from the detection device 73. The hourly power amount information D103 may be input by an operator operating an input device such as a keyboard. The hourly power amount information D103 is information regarding the amount of power consumed per hour in facilities, offices, etc. of industrial consumers who are producers when there is no power outage.
[0077] The detection device 73 may be, for example, an electric energy detection device or a power detection device. The electric energy detection device may be a so-called smart meter.
[0078] The hourly power information D103 input to the power consumption input unit 103 may be calculated by subtracting the amount of power consumed by air conditioning, lighting, and other equipment other than production equipment from the amount of power consumed by each building, for example.
[0079] If the consumer is a manufacturer, the detection device 73 is placed in a facility 70 that is a production line. The detection device 73 transmits information on the amount of power consumed per hour in the production line to the power consumption input unit 103 as hourly power amount information D103.
[0080] When the consumer is a business that sells energy, the detection device 73 is placed in facility 70, which is a storage facility such as a freezer. The detection device 73 transmits information on the amount of energy consumed per hour in the storage facility such as a freezer to the energy consumption input unit 103 as hourly energy amount information D103.
[0081] An example of the hourly power amount information D103 is shown in Fig. 5. As shown in Fig. 5, the hourly power amount information D103 indicates the amount of power consumption for each time period when no power outage occurs. For example, it indicates that the amount of power consumption from 10:00 to 11:00 is 25 kWh.
[0082] The power consumption input unit 103 transmits the input hourly power amount information D103 to the calculation unit 20.
[0083] The storage unit 30 stores preset product price data D301, labor cost data D302, and restart cost data D303.
[0084] The product price data D301 is data in which the unit price of a product is recorded for each type of consumer, by production period and unit quantity. An example of the product price data D301 is shown in FIG. 6. As shown in FIG. 6, the product price data D301 indicates the unit price of a product for each time period when no power outage occurs. For example, it indicates that the unit price of a product for production between 10:00 and 11:00 is 10,000 yen. The product price data D301 is transmitted to the calculation unit 20.
[0085] The labor cost data D302 is data that records labor costs when there is no power outage. The labor cost data D302 includes data such as the number of employees working during a predetermined time period and hourly wages. The labor cost data D302 may also be labor costs paid when operations are suspended due to a power outage. If employees have multiple wage types, the labor cost data D302 may also include data related to the number of employees and wages for each wage type.
[0086] An example of labor cost data D302 is shown in FIG. 7. As shown in FIG. 7, the labor cost data D302 indicates the number of employees and the wage per employee for each time period when there is no power outage. For example, it indicates that the number of employees in production from 10:00 to 11:00 is five and the wage per employee is 4,000 yen. The labor cost data D302 is transmitted to the calculation unit 20.
[0087] The restart cost data D303 is data that records the cost required to restart equipment that has stopped due to a power outage. The restart cost data D303 is a fixed amount regardless of the duration of the power outage. An example of the restart cost data D303 is shown in FIG. 8. As shown in FIG. 8, the restart cost data D303 indicates the restart cost. For example, it indicates that the restart cost for production from 10:00 to 11:00 is 20,000 yen. The restart cost data D303 is transmitted to the calculation unit 20.
[0088] The loss amount calculation unit 201 calculates the loss amount based on the hourly production volume information D101 input to the production volume input unit 101, the product price data D301 stored in the storage unit 30, and the labor cost data D302, and creates loss amount data D201.
[0089] The loss amount data D201 is data relating to the amount of production that could not be produced due to a power outage. If the customer is, for example, a manufacturing company, the loss amount calculation unit 201 calculates the loss amount A1 by the following (Equation 1). Loss A1 = Production quantity N1 × Product unit price M1 ...(Formula 1) Production quantity N1: Production quantity per unit time when no power outage occurs Product unit price M1: Product unit price during unit time when no power outage occurs
[0090] In (Equation 1), the production quantity N1 is included in the hourly production volume information D101. The product unit price M1 is included in the hourly production volume information D101 or the product price data D301.
[0091] The loss amount A1 is calculated for each unit time. For example, in production from 10:00 to 11:00, the product unit price M1 is 10,000 yen and the number of units produced is 20. Therefore, the loss amount A1 is 200,000 yen. The loss amount A1 may be the production amount for each time period included in the hourly production amount information D101.
[0092] Furthermore, if the consumer is, for example, a business that engages in sales, the loss amount calculation unit 201 calculates the loss amount A2 using the following (Equation 2). If the consumer is a business that engages in sales, expenses will be incurred for employees who perform sales. The loss amount calculation unit 201 may calculate the loss amount A2 using the following (Equation 2). Lost amount A2 = Production quantity N1 × Product unit price M1 + Number of employees L1 × Wages K1 ...(Formula 2) Production quantity N1: Production quantity per unit time when no power outage occurs Product unit cost M1: Product unit cost (material cost) during unit time when no power outage occurs Number of employees L1: Number of employees engaged in sales during periods when there is no power outage Wage K1: Wage per person during the period when there is no power outage
[0093] In (Equation 2), the production quantity N1 is included in the hourly production volume information D101. The product unit price M1 is included in the hourly production volume information D101 or the product price data D301. The number of employees L1 and the wage per employee K1 are included in the labor cost data D302.
[0094] The lost cost A2 is calculated for each unit of time. For example, in production from 10:00 to 11:00, the material cost of the product, M1, is 10,000 yen and the number of units produced is 20. Furthermore, the number of employees, L1, is 5, and the wage per employee is 4,000 yen. Therefore, the lost cost A2 is 220,000 yen.
[0095] Furthermore, the loss amount may be calculated by taking into account the completion rate of the product. The completion rate indicates the production rate corresponding to the operating status of the production line. The completion rate indicates the ratio of the number of products produced to the number of products required for the production capacity of the production line. An example of the completion rate data D104 is shown in FIG. 9. As shown in FIG. 9, the completion rate data D104 indicates the completion rate for each production line in a factory with multiple production lines.
[0096] For example, the completion rate for line 3 from 10:00 to 11:00 is 75%. The lost amount A1 for the same time period according to (Formula 1) is 200,000 yen. By calculating the product completion rate, the lost amount A1 is multiplied by 75% of the completion rate, resulting in a lost amount of 150,000 yen.
[0097] The loss amount calculation unit 201 sets the calculated loss amount A1 or A2 as loss amount data D201. The loss amount calculation unit 201 transmits the loss amount data D201 to the damage cost calculation unit 202.
[0098] The damage cost calculation unit 202 creates damage cost data D202 based on the power dependency information D102 input to the power dependency input unit 102, the hourly power consumption information D103 input to the power consumption input unit 103, the restart cost data D303 stored in the memory unit 30, and the loss amount data D201 created by the loss amount calculation unit 201.
[0099] The damage cost data D202 is data on damage costs that serve as the basis for calculating the amount of damage. The amount of damage is the amount of damage caused to consumers due to power outages. The damage cost is the amount of damage per unit of power (for example, 1 kWh).
[0100] The damage costs in the damage cost data D202 may include labor costs for products that could not be produced due to the power outage and costs related to the amount of damage required to restore power.
[0101] When the consumer is, for example, a manufacturing company, the damage cost calculation unit 202 calculates the damage cost C1 using the following (Equation 3) based on the loss amount A1 of the loss amount data D201. Damage cost C1 = Loss amount A1 x Power dependency F1 / Power consumption P1 ...(Formula 3) Power Dependence F1: Power dependency by time period when no power outage occurs Power consumption P1: Power consumption per time period when there is no power outage
[0102] When the consumer is, for example, a business operator involved in sales, the damage cost calculation unit 202 calculates the damage cost C2 using the following (Equation 4) based on the loss amount A2 of the loss amount data D201. Damage cost C2 = Loss amount A2 x Power dependency F1 / Power consumption P1 ...(Formula 4) Power Dependence F1: Power dependency by time period when no power outage occurs Power consumption P1: Power consumption per time period when there is no power outage
[0103] In (Equation 3) and (Equation 4), the power dependency F1 is included in the power dependency information D102, and the power consumption amount P1 is included in the hourly power amount information D103.
[0104] Damage costs C1 and C2 are calculated per unit time. For example, from 10:00 to 11:00, the power dependency rate F1 is 80% and the power consumption P1 is 25kWh. The loss amount A1 is 200,000 yen. Therefore, the damage cost C1 is 6,400 yen / kWh. Furthermore, the loss amount A2 is 220,000 yen. Therefore, the damage cost C2 is 7,040 yen / kWh.
[0105] Furthermore, the damage cost calculation unit 202 may calculate the damage costs C3 and C4 using the following (Equation 5) and (Equation 6).
[0106] When the consumer is, for example, a manufacturing company, the damage cost calculation unit 202 calculates the damage cost C3 using the following (Equation 5) based on the loss amount A1 of the loss amount data D201. Damage cost C3 = (Loss amount A1 x Power dependency F1 + Restart cost G1) / Power consumption P1 ...(Formula 5) Power Dependence F1: Power dependency by time period when no power outage occurs Restart cost G1: Cost required to restart equipment, etc. Power consumption P1: Power consumption per time period when there is no power outage
[0107] When the consumer is, for example, a business operator involved in sales, the damage cost calculation unit 202 calculates the damage cost C4 using the following (Equation 6) based on the loss amount A2 of the loss amount data D201. Damage cost C4 = (Loss amount A2 x Power dependency F1 + Restart cost G1) / Power consumption P1 ...(Formula 6) Power Dependence F1: Power dependency by time period when no power outage occurs Restart cost G1: Cost required to restart equipment, etc. Power consumption P1: Power consumption per time period when there is no power outage
[0108] In (Equation 5) and (Equation 6), power dependency F1 is included in power dependency information D102. Restart cost G1 is included in restart cost data D303. Power consumption P1 is included in hourly power amount information D103.
[0109] Damage cost C2 is calculated per unit time. For example, between 10:00 and 11:00, power dependency F1 is 80%, restart cost G1 is 20,000 yen, and power consumption P1 is 25 kWh. Loss amount A1 is 200,000 yen. Therefore, damage cost C3 is 7,200 yen / kWh. Furthermore, loss amount A2 is 220,000 yen. Therefore, damage cost C3 is 7,840 yen / kWh.
[0110] The damage cost calculation unit 202 transmits the calculated damage cost C1, C2, C3 or C4 as damage cost data D202 to the output unit 40, which outputs the data.
[0111] The output unit 40 outputs the damage cost data D202 created by the damage cost calculation unit 202 as a display, printout, or electronic data. The output unit 40 may also output the loss amount data D201 created by the loss amount calculation unit 201.
[0112] The output unit 40 may be connected to a public electronic communication medium or a public electronic communication line, such as the Internet or a mobile phone communication line. The output unit 40 makes the loss amount data D201 and the damage cost data D202 public on the website of the local government, etc.
[0113] The operation of the power outage damage calculation device 1 may be realized by a computer program shown in Fig. 2. The computer program shown in Fig. 2 is stored in the calculation unit 20 of the power outage damage calculation device 1.
[0114] (Step S01: Receiving hourly production volume information D101, power dependency information D102, and hourly power amount information D103) The calculation unit 20 receives the hourly production amount information D101, the power dependency information D102, and the hourly power amount information D103. The operation of step S01 is executed by the calculation unit 20 controlling the input unit 10. The calculation unit 20 receives the hourly production amount information D101 via the production amount input unit 101 of the input unit 10. The calculation unit 20 receives the power dependency information D102 via the power dependency input unit 102 of the input unit 10. The calculation unit 20 receives the hourly power amount information D103 via the power consumption input unit 103 of the input unit 10.
[0115] (Step S02: Receiving product price data D301, labor cost data D302, and restart cost data D303) The calculation unit 20 receives the product price data D301, labor cost data D302, and restart cost data D303 from the storage unit 30. The product price data D301, labor cost data D302, and restart cost data D303 are set in advance and stored in the storage unit 30.
[0116] (Step S03: Calculation of loss amount A) The calculation unit 20 calculates the loss amount A. The operation of step S03 is executed by the loss amount calculation unit 201 of the calculation unit 20. The loss amount calculation unit 201 calculates the loss amount A based on the hourly production volume information D101 received in step S01 and the product price data D301 received in step S02. The loss amount A1 is calculated by the above (Equation 1). The loss amount A2 is calculated by the above (Equation 2).
[0117] The loss amount calculation unit 201 sets the calculated loss amount A1 or A2 as loss amount data D201.
[0118] (Step S04: Calculation of damage cost C) The calculation unit 20 calculates the damage cost C. The operation of step S04 is executed by the damage cost calculation unit 202 of the calculation unit 20. The damage cost calculation unit 202 calculates the damage cost C based on the loss amount data D201 created in step S03, the power dependency information D102 and hourly power amount information D103 received in step S02, the labor cost data D302 and restart cost data D303 received in step S02. Damage cost C1 is calculated using the above (Equation 3), and damage cost C2 is calculated using the above (Equation 4). Damage cost C3 is calculated using the above (Equation 5), and damage cost C4 is calculated using the above (Equation 6).
[0119] The loss amount calculation unit 201 sets the calculated damage cost C1, C2, C3, or C4 as damage cost data D202.
[0120] (Step S05: Output of damage cost data D202) The calculation unit 20 instructs the output unit 40 to output the damage cost data D202. The output unit 40 outputs the damage cost data D202 as a display, printout, or electronic data. The output unit 40 may make the damage cost data D202 public on a website of a local government or the like. The calculation unit 20 may also instruct the output unit 40 to output the loss amount data D201.
[0121] The above is the operation of the power outage damage calculation device 1 according to this embodiment.
[0122] [1-3.Effects] (1) According to this embodiment, the power outage damage calculation device 1 has an input unit 10 into which consumer information, which is information relating to the manner in which consumers who use electricity use electricity, is input, a loss amount calculation unit 201 that calculates the amount of loss related to damage caused by a power outage at a consumer who uses electricity based on the consumer information input to the input unit 10, and a damage cost calculation unit 202 that calculates the damage cost, which is the amount of damage per unit of electricity, based on the amount of loss calculated by the loss amount calculation unit 201.Therefore, it is possible to provide a power outage damage calculation device 1 that can visualize the damage cost, which is the basis for calculating the amount of damage related to losses caused by a power outage.
[0123] By using the power outage damage calculation device 1, industrial electricity consumers, local governments, etc. can improve the accuracy of the figures related to damage costs when calculating damage costs, shorten the work time, and contribute to the generalization of the work.
[0124] The visualized damage costs can be used to help industrial customers understand the benefits of introducing equipment and services, and to clarify the process for deciding on the specifications of delivered equipment and services.The visualized damage costs can also be used by local governments to make decisions on introducing new equipment and services, and to clarify the process for explaining the costs to residents.The visualized damage costs can be used to support communication between businesses and customers.
[0125] (2) According to this embodiment, the customer information input to the input unit 10 of the power outage damage calculation device 1 includes a power dependency F1 that indicates the proportion of damage caused by a power outage that is attributable to the power outage, and the damage cost calculation unit 202 calculates the damage cost by multiplying the loss amount calculated by the loss amount calculation unit 201 by the power dependency F1 included in the customer information input to the input unit 10, thereby enabling more accurate calculation of the damage cost.
[0126] Conventionally, damage costs have often been calculated by collecting damage amounts due to power outages through a questionnaire and then statistically processing the collected damage amounts. Industrial customers respond to the questionnaire based on the operational performance of their factories and accounting documents. However, calculating damage costs using this method requires a great deal of effort to obtain data and input it into a new format. Furthermore, since responses are required based on complex conditions, there is a high possibility of errors in the responses. Therefore, it is desirable to reduce the amount of manual work required when calculating damage costs.
[0127] According to this embodiment, the damage cost calculation unit 202 calculates the damage cost based on the loss amount calculated by the loss amount calculation unit 201, thereby reducing manual work and enabling more accurate calculation of the damage cost.
[0128] (3) According to this embodiment, the customer information input to the input unit 10 of the power outage damage calculation device 1 includes at least one of production volume information and labor cost information related to production at the customer, thereby enabling more accurate calculation of damage costs.
[0129] According to the power outage damage calculation device 1, the damage costs associated with losses caused by power outages are quantified and visualized based on production volume information, such as production volume, product unit price, and power dependency, and labor cost information, such as the number of employees and wages. This makes it possible to calculate damage costs that are more in line with the actual circumstances of consumers.
[0130] (4) According to this embodiment, the input unit 10 of the power outage damage calculation device 1 detects the production volume at the customer by a sensor and inputs it as customer information, thereby reducing manual work and enabling damage costs to be calculated more quickly and accurately.
[0131] Conventionally, damage costs for electricity consumers have been calculated based on questionnaire surveys, which requires a great deal of time and money to collect information, as well as a great deal of effort to prepare the data. According to this embodiment, the input unit 10 of the power outage damage calculation device 1 detects production volumes at consumers using sensors and inputs them as consumer information. This reduces the amount of work required for manual data entry.
[0132] The visualized damage costs can be used to help industrial customers understand the benefits of introducing equipment and services, and to clarify the process for determining the specifications of delivered equipment and services.
[0133] [2. Second Embodiment] [2-1. Composition and Function] The power outage damage calculation device 1 according to the second embodiment will be described with reference to Fig. 10. The power outage damage calculation device 1 according to the second embodiment differs from the power outage damage calculation device 1 according to the first embodiment in that it has a transmitting / receiving unit 50, the calculation unit 20 has a category selection unit 203, a data search unit 204, and an estimated data creation unit 205, and the storage unit 30 stores damage cost accumulation data D304 and estimated damage cost data D305.
[0134] Other configurations of the power outage loss calculation device 1 according to the second embodiment are the same as the configuration of the power outage loss calculation device 1 according to the first embodiment shown in Fig. 1. The same components as those of the power outage loss calculation device 1 according to the first embodiment are assigned the same reference numerals, and duplicated explanations will be omitted.
[0135] The outline of the power outage damage calculation device 1 according to the second embodiment is as follows.
[0136] The category selection unit 203 selects and accumulates the damage costs C1, C2, C3, or C4 calculated by the damage cost calculation unit 202 according to predetermined categories, and stores them as damage cost accumulation data D304. The data search unit 204 searches the damage cost accumulation data D304 for the damage costs C1, C2, C3, or C4 that have been selected, accumulated, and stored according to categories by the category selection unit 203, based on data related to search conditions input by the user.
[0137] The estimated data creation unit 205 analyzes the contribution of each factor to create a polynomial based on the damage cost accumulation data D304 for the damage costs C1, C2, C3 or C4 that have been sorted by category, accumulated and stored by the category selection unit 203, and calculates the estimated damage cost Ck, which is the damage cost estimated to occur due to a power outage, based on the created polynomial, and creates the estimated damage cost data D305.
[0138] Details of the operation of the power outage damage calculation device 1 according to the second embodiment are as follows.
[0139] The transmitting / receiving unit 50 is composed of an interface circuit for electronic communication lines such as the Internet or a mobile phone communication line, an operation unit, and a display unit. The transmitting / receiving unit 50 is connected to a public electronic communication line 80 such as the Internet or a mobile phone communication line. Data relating to search conditions transmitted from a user's terminal device 90 via the Internet or a mobile phone communication line is input to the transmitting / receiving unit 50.
[0140] Data relating to the search conditions input to the transmitting / receiving unit 50 is transmitted to the data searching unit 204 of the calculation unit 20. The data searching unit 204 searches the damage cost accumulation data D304 stored in the storage unit 30, and transmits data that matches the search conditions to the transmitting / receiving unit 50. The transmitting / receiving unit 50 transmits the data searched by the data searching unit 204 to the user's terminal device 90 via a public electronic communication line 80 such as the Internet or a mobile phone communication line.
[0141] The category selection unit 203, data search unit 204, and estimated data creation unit 205 of the calculation unit 20 are configured by a calculation unit of a microcomputer, etc. The category selection unit 203, data search unit 204, and estimated data creation unit 205 of the calculation unit 20 may be configured by a software module.
[0142] The category selection unit 203 selects, by predetermined category, the damage costs C1, C2, C3, or C4 associated with the damage cost data D202 created by the damage cost calculation unit 202. The categories may be set in advance and stored in the storage unit 30.
[0143] Damage costs C1, C2, C3, or C4 are sorted into categories such as the time of day when the power outage occurred, weekday / holiday / special day for power consumption, and season. In addition, the breakdown of damage costs C1, C2, C3, or C4, namely, loss amount, labor costs, and restart costs, are sorted into categories. Loss amount is the loss amount A1 calculated using (Formula 1) or the loss amount A2 calculated using (Formula 2). Labor costs are (number of employees L1 x wages K1) in (Formula 2). Restart costs are the restart costs G1 in (Formula 5) and (Formula 6).
[0144] The category selection unit 203 may select the damage costs C1, C2, C3, or C4 by dividing them into categories related to the production line and the product.
[0145] The category selection unit 203 categorizes the selected damage costs C1, C2, C3, or C4 to create multiple damage cost data Cj. The category selection unit 203 stores the damage cost data Cj as damage cost accumulation data D304 in the storage unit 30. The damage cost accumulation data D304 is data in which damage cost data Cj created based on damage costs C1, C2, C3, or C4 calculated in the past is accumulated.
[0146] The category selection unit 203 may attach a category label to the created damage cost data Cj and store it in the storage unit 30 as damage cost accumulation data D304.
[0147] An example of the damage cost accumulation data D304 is shown in Fig. 12. As shown in Fig. 12, the damage cost accumulation data D304 indicates the damage cost, loss amount, labor cost, and restart cost for each category. For example, it indicates that the damage cost C for a summer weekday afternoon is 1,200,000 yen, the loss amount is 800,000 yen, the labor cost is 200,000 yen, and the restart cost is 200,000 yen.
[0148] Data relating to search conditions for the damage cost data Cj transmitted from a user's terminal device 90 via the Internet, a mobile phone communication line, or the like is input to the transmitting / receiving unit 50. The data relating to the search conditions is information relating to the category of the damage cost data Cj stored as the damage cost accumulation data D304.
[0149] The data relating to the search conditions input to the transmitting / receiving unit 50 is transmitted to the data searching unit 204 of the calculation unit 20. The data searching unit 204 searches the damage cost accumulation data D304 stored in the memory unit 30, and transmits the damage cost data Cj that matches the search conditions to the transmitting / receiving unit 50.
[0150] A user of the Internet or a mobile phone communication line inputs data relating to search conditions, such as the time period when the power outage occurred, whether it was a weekday / holiday / special day, season, etc. The data search unit 204 transmits to the transceiver unit 50 damage cost data Cj that matches the search conditions, such as the time period when the power outage occurred, whether it was a weekday / holiday / special day, season, etc.
[0151] The transmitting / receiving unit 50 transmits the damage cost data Cj searched by the data searching unit 204 to the user's terminal device 90 via a public electronic communication line 80 such as the Internet or a mobile phone communication line. The damage cost data Cj that matches the search conditions may be displayed on a screen, printed out, or output as electronic data by the output unit 40. Data related to the search conditions may also be input by the input unit 10 via an operating device such as a touch switch, keyboard, or mouse, or via a receiving circuit or an external memory connection circuit.
[0152] The estimated data creation unit 205 creates estimated damage cost data D305 based on the damage cost accumulation data D304 created by the category selection unit 203. The estimated damage cost data D305 is created based on the damage cost accumulation data D304 that was created in the past and accumulated and stored in the storage unit 30.
[0153] The estimated data creation unit 205 performs a factor analysis of the damage costs C1, C2, C3, or C4 calculated in the past based on the damage cost accumulation data D304, and creates a polynomial based on the contribution degree. Using the created polynomial, the estimated damage cost Ck is calculated and the estimated damage cost data D305 is created.
[0154] The estimated data generating unit 205 generates a polynomial based on factor analysis, such as (Equation 7). Estimated damage cost Ck=a×Xa+b×Xb+c×Xc+d×Xd+e×Xe +f×Xf+···+n×Xn ...(Formula 7) a: Power outage time period coefficient b: Coefficient of number of days of power outage c: Power outage seasonal coefficient d: Manufacturing type coefficient e: Labor cost coefficient f: Restart cost coefficient ... n: Other coefficients
[0155] In Equation 7, Xa to Xn are predetermined standard values. Xa to Xn may be costs determined as standard values by the government or the like, or may be costs calculated based on the damage cost accumulation data D304 and determined as standard values.
[0156] For example, if the damage cost C included in the damage cost accumulation data D304 is 6,400 yen / kWh, the estimated damage cost Ck according to (Equation 7) is assumed to be 6,400 yen / kWh, and the power outage time period coefficient a, power outage number of days coefficient b, power outage season coefficient c, production type coefficient d, labor cost coefficient e, restart cost coefficient f, and other coefficients n are calculated.
[0157] The estimated data creation unit 205 calculates the estimated damage cost Ck using (Equation 7) based on the calculated power outage time period coefficient a, power outage day count coefficient b, power outage season coefficient c, production type coefficient d, labor cost coefficient e, restart cost coefficient f, and other coefficients n. The estimated data creation unit 205 stores the calculation formula for the estimated damage cost Ck according to (Equation 7) and each coefficient used to calculate the estimated damage cost Ck in the storage unit 30 as estimated damage cost data D305.
[0158] The estimated damage costs Ck calculated in the past may be accumulated and stored as estimated damage cost data D305 in the storage unit 30. The estimated data creation unit 205 creates a calculation formula for the estimated damage cost Ck according to (Equation 7) and each coefficient used to calculate the estimated damage cost Ck for each category selected by the category selection unit 203, and stores them in the storage unit 30 as estimated damage cost data D305.
[0159] The estimated data creation unit 205 may also create the estimated damage cost data D305 based on data (so-called big data) accumulated and stored on an external internet site or the like.
[0160] Data relating to the calculation conditions for the estimated damage cost Ck transmitted from a user's terminal device 90 via the Internet, a mobile phone communication line, or the like is input to the transmitting / receiving unit 50. The data relating to the calculation conditions is information relating to the calculation formula for the estimated damage cost Ck stored in the estimated damage cost data D305 and each coefficient used in calculating the estimated damage cost Ck.
[0161] The data relating to the calculation conditions input to the transmitting / receiving unit 50 is transmitted to the estimated data creation unit 205 of the calculation unit 20. The estimated data creation unit 205 searches the estimated damage cost data D305 stored in the storage unit 30, and extracts a calculation formula for the estimated damage cost Ck that matches the calculation conditions, and each coefficient used to calculate the estimated damage cost Ck.
[0162] The estimated data creation unit 205 calculates the estimated damage cost Ck using a calculation formula for the estimated damage cost Ck that meets the calculation conditions and each coefficient used to calculate the estimated damage cost Ck. The estimated data creation unit 205 transmits the calculated estimated damage cost Ck to the transmission / reception unit 50.
[0163] A user of the Internet or a mobile phone communication line inputs, for example, the power outage duration related to the power outage duration coefficient a, the number of power outage days related to the power outage duration coefficient b, the season related to the power outage season coefficient c, the production type related to the production type coefficient d, the labor cost related to the labor cost coefficient e, and the restart cost related to the restart cost coefficient f as data related to the calculation conditions. The estimated data creation unit 205 selects a calculation formula for the estimated damage cost Ck that matches the calculation conditions, and the power outage duration coefficient a, the power outage duration coefficient b, the power outage season coefficient c, the production type coefficient d, the labor cost coefficient e, the restart cost coefficient f, etc. from the estimated damage cost data D305 to calculate the estimated damage cost Ck.
[0164] The estimated data creation unit 205 transmits the calculated estimated damage cost Ck to the transmission / reception unit 50.
[0165] The estimated damage cost data D305 accumulates and stores estimated damage costs Ck calculated in the past. The estimated data creation unit 205 may select an estimated damage cost Ck that meets the calculation conditions from the estimated damage cost data D305.
[0166] The transmitting / receiving unit 50 transmits the estimated damage cost Ck calculated by the estimated data creating unit 205 to the user's terminal device 90 via a public electronic communication line 80 such as the Internet or a mobile phone communication line. The estimated damage cost Ck that meets the calculation conditions may be displayed on a screen, printed out, or output as electronic data by the output unit 40. Data related to the calculation conditions may also be input via an operating device such as a touch switch, keyboard, or mouse of the input unit 10, or via a receiving circuit or an external memory connection circuit.
[0167] The estimated damage cost Ck may indicate an allowable range (fluctuation range). The estimated data creation unit 205 may perform a statistical calculation based on the damage cost accumulation data D304 to calculate the estimated damage cost Ck having an allowable range. For example, the estimated damage cost Ck is a numerical value having a range of 500 yen to 575 yen.
[0168] The operation of the power outage damage calculation device 1 may be realized by a computer program shown in Fig. 11. The computer program shown in Fig. 11 is stored in the calculation unit 20 of the power outage damage calculation device 1.
[0169] (Step S11: Categorize and select damage cost data) The calculation unit 20 categorizes and selects damage costs C1, C2, C3, or C4, and creates damage cost data Cj. The operation in step S11 is executed by the category selection unit 203 of the calculation unit 20. The category selection unit 203 categorizes the damage costs C1, C2, C3, or C4, and creates multiple damage cost data Cj. The category selection unit 203 stores the damage cost data Cj in the memory unit 30 as damage cost accumulation data D304.
[0170] (Step S12: When the search conditions are received, the damage cost data Cj that matches the search conditions is transmitted.) When the calculation unit 20 receives data related to search conditions for damage cost data Cj from the user's terminal device 90, it transmits the damage cost data Cj that matches the search conditions. The operation of step S12 is executed by the data search unit 204 of the calculation unit 20. When data related to the search conditions is input to the transmission / reception unit 50, the data search unit 204 searches the damage cost accumulation data D304 stored in the memory unit 30 and transmits the damage cost data Cj that matches the search conditions to the transmission / reception unit 50. If the search conditions are not received, the program skips step S12 and proceeds to step S13.
[0171] The transmitting / receiving unit 50 transmits the damage cost data Cj retrieved by the data retrieval unit 204 to the user's terminal device 90 via a public electronic communication line 80 such as the Internet or a mobile phone communication line.
[0172] (Step S13: Creating estimated damage cost data D305) The calculation unit 20 creates estimated damage cost data D305 used to predict damage due to a power outage. The operation of step S13 is executed by the estimated data creation unit 205 of the calculation unit 20. The estimated data creation unit 205 performs a factor analysis of the damage costs C1, C2, C3, or C4 calculated in the past based on the damage cost accumulation data D304, creates a polynomial based on the contribution rate, and uses this as a calculation formula for the estimated damage cost Ck.
[0173] The estimated data creation unit 205 stores the formula for calculating the estimated damage cost Ck and the coefficients used to calculate the estimated damage cost Ck in the storage unit 30 as estimated damage cost data D305.
[0174] (Step S14: When the calculation conditions are received, calculate the estimated damage cost Ck that matches the calculation conditions) When the calculation unit 20 receives data related to the calculation conditions for the estimated damage cost Ck from the user's terminal device 90, it calculates and transmits the estimated damage cost Ck that matches the calculation conditions. The operation of step S14 is executed by the estimated data creation unit 205 of the calculation unit 20. When data related to the calculation conditions is input to the transmission / reception unit 50, the estimated data creation unit 205 searches the estimated damage cost data D305 stored in the memory unit 30 and extracts the calculation formula for the estimated damage cost Ck that matches the calculation conditions and each coefficient used to calculate the estimated damage cost Ck. If the calculation conditions are not received, the program skips step S14.
[0175] The estimated data creation unit 205 calculates the estimated damage cost Ck using a calculation formula for the estimated damage cost Ck that meets the calculation conditions and each coefficient used to calculate the estimated damage cost Ck. The estimated data creation unit 205 transmits the calculated estimated damage cost Ck to the transmission / reception unit 50.
[0176] The transmitting / receiving unit 50 transmits the estimated damage cost Ck calculated by the estimated data creating unit 205 to the user's terminal device 90 via a public electronic communication line 80 such as the Internet or a mobile phone communication line.
[0177] The above is the operation of the power outage damage calculation device 1 according to this embodiment.
[0178] [2-2. Effects] (1) According to this embodiment, the calculation unit 20 of the power outage damage calculation device 1 has a category selection unit 203 that sorts, accumulates, and stores the damage costs calculated by the damage cost calculation unit 202 by predetermined category, and a data search unit 204 that searches the damage costs sorted, accumulated, and stored by category by the category selection unit 203 based on data related to search conditions entered by the user, so that the damage costs for each category can be quickly provided to the user.
[0179] If a user is not sure of their own damage costs, they can ascertain the damage costs by inputting search criteria into the power outage damage calculation device 1. The user inputs search criteria such as the time of day when the power outage occurred, whether it was a weekday / holiday / special day, and the season into the power outage damage calculation device 1. Data on damage costs that match the search criteria is provided, so the user can obtain damage costs that better match the actual situation of the consumer.
[0180] In addition, the information provided on damage costs includes information on time conditions such as the time of day when the power outage occurred, whether it was a weekday / holiday / special day, and the season, as well as information on the amount of lost power, labor costs, restart costs, etc., so users can also understand the factors that contribute to the magnitude of the damage costs.
[0181] (2) According to this embodiment, the calculation unit 20 of the power outage damage calculation device 1 has an estimated data creation unit 205 that analyzes the contribution of each factor based on the damage costs related to the damage cost accumulation data D304 that has been sorted by category, accumulated, and stored by the category selection unit 203, creates a polynomial, and calculates the estimated damage cost, which is the damage cost estimated to occur due to a power outage, based on the created polynomial.Therefore, even if there is no damage cost that matches the search conditions in the damage cost accumulation data D304 created in the past, it is possible to provide a damage cost that more closely matches the actual situation of the consumer.
[0182] The estimated data creation unit 205 calculates estimated damage costs based on the damage costs associated with the damage cost accumulation data D304 that has been sorted by category, accumulated, and stored by the category selection unit 203, and therefore can provide damage costs that are more accurate and more in line with the actual circumstances of the consumer.
[0183] 3. Third Embodiment [3-1. Composition and Function] A power outage damage calculation device 1 according to the third embodiment will be described with reference to Fig. 13. The power outage damage calculation device 1 according to the third embodiment differs from the power outage damage calculation device 1 according to the first embodiment in that the input unit 10 has an attribute information input unit 151, a lifestyle input unit 152, and an owned property input unit 153 instead of the production volume input unit 101, the power dependency input unit 102, and the power consumption input unit 103, and in that the storage unit 30 stores lifestyle-specific damage cost data D351 and owned property cost data D352 instead of the product price data D301, the labor cost data D302, and the restart cost data D303.
[0184] The rest of the configuration of the power outage damage calculation device 1 according to the third embodiment is the same as the configuration of the power outage damage calculation device 1 according to the first embodiment shown in Figure 1. The same components as those in the power outage damage calculation device 1 according to the first embodiment are given the same reference numerals, and duplicate explanations will be omitted. Below, the calculated damage cost C5 may be collectively referred to as damage cost C. Furthermore, the loss amount A3 may be collectively referred to as loss amount A.
[0185] The outline of the power outage damage calculation device 1 according to the third embodiment is as follows.
[0186] The power outage damage calculation device 1 according to the third embodiment calculates the amount of loss A for a general consumer, and calculates the damage cost C based on the amount of loss A.
[0187] The input unit 10 receives input of consumer information, which is information relating to the manner in which consumers use electricity. The consumer information input to the input unit 10 includes lifestyle information D152, which is information relating to the behavior of consumers in their daily lives, and owned property information D153, which is information relating to the properties owned by consumers. The consumer information may also include attribute information D151, which is information such as the gender, age, and living arrangement of general consumers.
[0188] The loss amount calculation unit 201 calculates an opportunity loss amount A3a, which is the amount of disadvantage suffered as a result of being unable to act due to the occurrence of a power outage, based on lifestyle information D152 included in the consumer information input to the input unit 10. The loss amount calculation unit 201 also calculates an owned property loss amount A3b, which is the amount of financial disadvantage incurred due to the occurrence of a power outage, based on owned property information D153 included in the consumer information. The loss amount calculation unit 201 adds the opportunity loss amount A3a and the owned property loss amount A3b to calculate the loss amount A3.
[0189] The input unit 10 may detect quantities relating to behavioral patterns in the daily lives of consumers using sensors and input the detected quantities as consumer information.
[0190] Details of the operation of the power outage damage calculation device 1 according to the third embodiment are as follows.
[0191] An operator operates touch switches and a keyboard arranged on the display to input attribute information D151 into the attribute information input section 151 of the input unit 10. The attribute information D151 is information relating to demographic characteristics such as gender, age, and type of residence of general consumers, and attributes such as whether or not they have experienced a power outage.
[0192] The attribute information input unit 151 may input information on the residential status of general consumers detected by a sensor of an external device, or information on the gender, age, etc. of general consumers stored by an external device as attribute information D151. Furthermore, the attribute information D151 may be information on general consumers that is searched for and created by an external device.
[0193] The attribute information input unit 151 transmits the input attribute information D151 to the calculation unit 20.
[0194] The lifestyle input unit 152 receives lifestyle information D152 transmitted from the sensor 75 or is operated by an operator and inputs the lifestyle information D152. The lifestyle information D152 is information relating to the behavior of general consumers in their daily lives when there is no power outage. The sensor 75 is, for example, a watt-hour meter with a communication function (a so-called smart meter), a human presence sensor, or a sensor that detects the usage status of a kettle or a water heater.
[0195] The lifestyle information D152 may be the amount of power consumed by general consumers for each time period. The lifestyle information D152 may include information on daily behavior patterns input by an operator. An example of the lifestyle information D152 is shown in FIG. 15.
[0196] The lifestyle input unit 152 transmits the input lifestyle information D152 to the calculation unit 20.
[0197] The owned property input unit 153 is operated by an operator using touch switches and a keyboard arranged on the display to input owned property information D153. The owned property information D153 is information about the owned property of general consumers, such as the types and quantities of frozen and refrigerated goods that will be affected by a power outage.
[0198] The owned property input unit 153 may input, as owned property information D153, information on the types and quantities of frozen and refrigerated goods detected by a device such as an item sensor installed in the refrigerator, or information on the owned property of general consumers based on purchase history, for example, through mail order, stored in an external device. Also, the owned property information D153 may be information on general consumers that is searched for and created by an external device.
[0199] The owned property input unit 153 transmits the input owned property information D153 to the calculation unit 20.
[0200] The storage unit 30 stores damage cost data by lifestyle D351 and owned property cost data D352.
[0201] The damage cost data by lifestyle D351 is data relating to predetermined damage costs for each lifestyle. The damage cost data by lifestyle D351 is set and stored in advance in the storage unit 30. An example of the damage cost data by lifestyle D351 is shown in FIG. 16.
[0202] The owned property cost data D352 is data relating to the cost of owned property. The owned property cost data D352 indicates the standard price of items lost due to a power outage. The owned property cost data D352 is set and stored in advance in the storage unit 30. An example of the owned property cost data D352 is shown in FIG. 17.
[0203] The loss amount calculation unit 201 calculates the loss amount A3 based on the attribute information D151 received from the attribute information input unit 151, the lifestyle information D152 received from the lifestyle input unit 152, and the owned property information D153 received from the owned property input unit 153, and creates loss amount data D251.
[0204] The loss amount data D251 is data relating to the loss amount A3 caused by a power outage for a general consumer. The loss amount calculation unit 201 calculates the opportunity loss amount A3a and the owned property loss amount A3b, and adds them together to determine the loss amount A3. The opportunity loss amount A3a is the amount of disadvantage suffered due to being unable to act due to the occurrence of a power outage. The owned property loss amount A3b is the amount of disadvantage in terms of financial matters caused by the occurrence of a power outage.
[0205] The lost amount calculation unit 201 calculates the opportunity loss amount A3a based on the attribute information D151 input to the attribute information input unit 151 and the lifestyle information D152 input to the lifestyle input unit 152.
[0206] The loss amount calculation unit 201 searches the damage cost data by lifestyle D351 stored in the storage unit 30 based on the attributes related to the attribute information D151 and the behavioral patterns in daily life related to the lifestyle information D152, and selects the corresponding damage cost Cm. If there are multiple behavioral patterns in daily life related to the lifestyle information D152, multiple damage costs Cm are selected and added up to obtain the opportunity loss amount A3a.
[0207] For example, if a power outage prevents activities such as working from home or running a home business, the loss incurred due to the interruption of business operations is considered to be the opportunity loss A3a. The opportunity loss A3a is calculated using (Equation 7).
[0208] Opportunity loss A3a = Σ (damage cost Cm × power outage duration t1) ...(Formula 7) Power outage time t1: The duration of the power outage
[0209] For example, if the power outage lasts for two hours while the employee is at work cooking, the damage cost for cooking Cm is 200 yen and the damage cost for being at work Cm is 3,000 yen, so the opportunity loss A3a is 6,400 yen.
[0210] The loss amount calculation unit 201 calculates the owned property loss amount A3b based on the owned property information D153 input to the owned property input unit 153.
[0211] The loss amount calculation unit 201 searches the owned property cost data D352 stored in the memory unit 30 based on information about the owned property of general consumers in the owned property information D153, and selects the corresponding damage cost Cn. If the owned property information D153 includes multiple owned properties, the multiple damage costs Cn are selected and added together to determine the owned property loss amount A3b. The owned property loss amount A3b is calculated using (Equation 8). As an example, the owned property loss amount A3b is calculated by converting it to a value per weight.
[0212] Amount of lost property A3b = Σ (damage cost Cn × weight W) Weight W: Weight of property owned by general consumers ...(Formula 8)
[0213] For example, if a general consumer owns 2 kg of milk, 5 kg of meat, and 1 kg of frozen food, the damage cost for the milk Cn is 200 yen x 2, the damage cost for the meat Cn is 500 yen x 5, and the damage cost for the frozen food Cn is 1,000 yen x 1, so the amount of loss of owned property A3b is 3,900 yen.
[0214] The loss amount calculation unit 201 calculates the loss amount A3 based on the opportunity loss amount A3a and the owned property loss amount A3b using (Equation 9). Loss A3 = Opportunity loss A3a + Property loss A3b ...(Formula 9)
[0215] The loss amount calculation unit 201 transmits the calculated loss amount A3 to the damage cost calculation unit 202 as loss amount data D251.
[0216] The damage cost calculation unit 202 generates damage cost data D252 based on the loss amount data D251 generated by the loss amount calculation unit 201.
[0217] The damage cost data D252 is data on the damage cost that serves as the basis for calculating the amount of damage. The damage cost is the amount that serves as the basis for calculating the amount of damage caused to a consumer due to a power outage. The damage cost is the amount of damage per unit of power (for example, 1 kWh).
[0218] The damage cost calculation unit 202 calculates the damage cost C5 based on the loss amount A3 of the loss amount data D251 using the following (Equation 10). Damage cost C5 = Lost amount A3 / Amount of electricity P1 ...(Formula 10) Power amount P1: Amount of power that could not be received due to a power outage
[0219] The amount of power P1 may be input to the input unit 10, or may be input to a transmitting / receiving unit (not shown) via a public electronic communication line such as the Internet or a mobile phone communication line. The damage cost calculation unit 202 transmits the calculated damage cost C5 to the output unit 40 as damage cost data D252, and causes it to be output.
[0220] The output unit 40 outputs the damage cost data D252 created by the damage cost calculation unit 202 as display, printout, or electronic data. The output unit 40 may also output the loss amount data D251 created by the loss amount calculation unit 201.
[0221] The output unit 40 may be connected to a public electronic communication medium or a public electronic communication line, such as the Internet or a mobile phone communication line. The output unit 40 makes the loss amount data D251 and the damage cost data D252 public on the website of the local government, etc.
[0222] The operation of the power outage damage calculation device 1 may be realized by a computer program shown in Fig. 14. The computer program shown in Fig. 14 is stored in the calculation unit 20 of the power outage damage calculation device 1.
[0223] (Step S21: Receiving attribute information D151, lifestyle information D152, and owned property information D153) The calculation unit 20 receives the attribute information D151, lifestyle information D152, and owned property information D153. The operation of step S21 is executed by the calculation unit 20 controlling the input unit 10. The calculation unit 20 receives the attribute information D151 via the attribute information input unit 151 of the input unit 10. The calculation unit 20 receives the lifestyle information D152 via the lifestyle input unit 152 of the input unit 10. The calculation unit 20 receives the owned property information D153 via the owned property input unit 153 of the input unit 10.
[0224] (Step S22: Receiving damage cost data by lifestyle D351 and owned property cost data D352) The calculation unit 20 receives the damage cost data by lifestyle D351 and the owned property cost data D352 from the storage unit 30. The damage cost data by lifestyle D351 and the owned property cost data D352 are set in advance and stored in the storage unit 30.
[0225] (Step S23: Calculation of loss amount A3) The calculation unit 20 calculates the loss amount A3. The operation of step S23 is executed by the loss amount calculation unit 201 of the calculation unit 20. The loss amount calculation unit 201 calculates the opportunity loss amount A3a based on the attributes related to the attribute information D151 received in step S21, the lifestyle information D152, and the lifestyle-specific damage cost data D351 received in step S22. The opportunity loss amount A3a is calculated using the above (Equation 7).
[0226] The loss amount calculation unit 201 calculates the owned property loss amount A3b based on the owned property information D153 and lifestyle information D152 received in step S21, and the owned property cost data D352 received in step S22. The opportunity loss amount A3a is calculated using the above (Equation 8).
[0227] The loss amount calculation unit 201 calculates the loss amount A3 using the opportunity loss amount A3a and the owned property loss amount A3b. The loss amount A3 is calculated using the above (Equation 9). The loss amount calculation unit 201 sets the calculated loss amount A3 as loss amount data D251.
[0228] (Step S24: Calculation of damage cost C5) The calculation unit 20 calculates the damage cost C5. The operation of step S24 is executed by the damage cost calculation unit 202 of the calculation unit 20. The damage cost calculation unit 202 calculates the damage cost C5 based on the loss amount data D251 created in step S23 and the amount of power P1. The amount of power P1 is the amount of power that could not be received due to the power outage. The amount of power P1 is received by the input unit 10 or a transmitting / receiving unit (not shown).
[0229] The damage cost C5 is calculated by the above formula 10. The loss amount calculation unit 201 sets the calculated damage cost C5 as damage cost data D252.
[0230] (Step S25: Output of damage cost data D252) The calculation unit 20 instructs the output unit 40 to output the damage cost data D252. The output unit 40 outputs the damage cost data D252 as a display, printout, or electronic data. The output unit 40 may make the damage cost data D252 public on a website of a local government or the like. The calculation unit 20 may also instruct the output unit 40 to output the loss amount data D251.
[0231] The above is the operation of the power outage damage calculation device 1 according to this embodiment.
[0232] [3-2. Effects] (1) According to this embodiment, the power outage damage calculation device 1 has an input unit 10 into which consumer information, which is information relating to the manner in which consumers who use electricity use electricity, is input, a loss amount calculation unit 201 that calculates the amount of loss related to damage caused by a power outage at a consumer who uses electricity based on the consumer information input into the input unit 10, and a damage cost calculation unit 202 that calculates the damage cost C, which is the amount of damage per unit of electricity, based on the amount of loss calculated by the loss amount calculation unit 201.Therefore, it is possible to provide a power outage damage calculation device 1 that can visualize the damage cost, which is the basis for calculating the amount of damage related to losses caused by a power outage.
[0233] By using the power outage damage calculation device 1, it is possible to improve the accuracy of the numerical values related to damage costs, shorten the work time, and contribute to the generalization of the work when general electricity consumers, local governments, etc. calculate damage costs.
[0234] (2) According to this embodiment, the consumer information input to the input unit 10 of the power outage damage calculation device 1 includes lifestyle information D152, which is information about the consumer's behavior in daily life, and owned property information D153, which is information about the consumer's owned property. The loss amount calculation unit 201 calculates the opportunity loss amount A3a, which is the amount of disadvantage suffered as a result of being unable to act due to the power outage, based on the lifestyle information D152 included in the consumer information input to the input unit 10, and calculates the owned property loss amount A3b, which is the amount of financial disadvantage incurred due to the power outage, based on the owned property information D153 included in the consumer information. The opportunity loss amount A3a and the owned property loss amount A3b are added together to calculate the loss amount A3, thereby enabling more accurate calculation of damage costs.
[0235] The loss amount calculation unit 201 calculates the loss amount A3 based on the opportunity loss amount A3a, which is the amount of disadvantage suffered as a result of being unable to act due to the occurrence of a power outage, and the loss amount A3b, which is the amount of financial disadvantage incurred due to the occurrence of a power outage, and therefore it is possible to calculate damage costs that are more in line with the actual circumstances of the consumer.
[0236] (3) According to this embodiment, the input unit 10 of the power outage damage calculation device 1 detects quantities related to the behavioral patterns of consumers' lives using sensors and inputs them as consumer information, thereby reducing manual work and enabling damage costs to be calculated more quickly and accurately.
[0237] Conventionally, damage costs for electricity consumers have been calculated based on questionnaire surveys, which requires a great deal of time and money to collect information, as well as a great deal of effort to prepare the data. According to this embodiment, the input unit 10 of the power outage damage calculation device 1 detects quantities related to the behavioral patterns of consumers' lives using sensors and inputs them as consumer information. This reduces the amount of work required for manual data entry.
[0238] The visualized damage costs can be used to help industrial customers understand the benefits of introducing equipment and services, and to clarify the process for determining the specifications of delivered equipment and services.
[0239] [4. Fourth Embodiment] [4-1. Composition and Function] The power outage damage calculation device 1 according to the fourth embodiment will be described with reference to Fig. 18. The power outage damage calculation device 1 according to the fourth embodiment differs from the power outage damage calculation device 1 according to the third embodiment in that it has a transmitting / receiving unit 50, the calculation unit 20 has a category selection unit 253, a data search unit 254, and an estimated data creation unit 255, and the storage unit 30 stores damage cost accumulation data D354 and estimated damage cost data D355.
[0240] Other configurations of the power outage loss calculation device 1 according to the fourth embodiment are the same as the configuration of the power outage loss calculation device 1 according to the third embodiment shown in Fig. 13. The same components as those of the power outage loss calculation device 1 according to the third embodiment are assigned the same reference numerals, and duplicated explanations will be omitted.
[0241] The outline of the power outage damage calculation device 1 according to the fourth embodiment is as follows.
[0242] The category selection unit 253 selects and accumulates the damage costs C5 calculated by the damage cost calculation unit 202 by predetermined category, and stores them as damage cost accumulation data D354. The data search unit 254 searches for the damage costs C5 related to the damage cost accumulation data D354 that has been selected by category, accumulated, and stored by the category selection unit 253, based on data related to search conditions input by the user.
[0243] The estimated data creation unit 255 analyzes the contribution of each factor based on the damage cost C5 related to the damage cost accumulation data D354 that has been sorted by category, accumulated, and stored by the category selection unit 253, and creates a polynomial, and calculates the estimated damage cost Cs, which is the damage cost estimated to occur due to a power outage, based on the created polynomial.
[0244] Details of the operation of the power outage damage calculation device 1 according to the fourth embodiment are as follows.
[0245] The transmitting / receiving unit 50 is composed of an interface circuit for electronic communication lines such as the Internet or a mobile phone communication line, an operation unit, and a display unit. The transmitting / receiving unit 50 is connected to a public electronic communication line 80 such as the Internet or a mobile phone communication line. Data relating to search conditions transmitted from a user's terminal device 90 via the Internet or a mobile phone communication line is input to the transmitting / receiving unit 50.
[0246] Data relating to the search conditions input to the transmitting / receiving unit 50 is transmitted to the data searching unit 254 of the calculation unit 20. The data searching unit 254 searches the damage cost accumulation data D354 stored in the storage unit 30, and transmits data that matches the search conditions to the transmitting / receiving unit 50. The transmitting / receiving unit 50 transmits the data searched by the data searching unit 254 to the user's terminal device 90 via a public electronic communication line 80 such as the Internet or a mobile phone communication line.
[0247] The category selection unit 253, data search unit 254, and estimated data creation unit 255 of the calculation unit 20 are configured by a calculation unit of a microcomputer, etc. The category selection unit 253, data search unit 254, and estimated data creation unit 255 of the calculation unit 20 may also be configured by software modules.
[0248] The category selection unit 253 selects, by predetermined category, the damage cost C5 related to the damage cost data D252 created by the damage cost calculation unit 202. The categories may be set in advance and stored in the storage unit 30.
[0249] The damage cost C5 is sorted into categories such as the time of day when the power outage occurred, weekday / holiday / special day, season, location of the power outage, consumer's gender, age, time spent at home (time of day, average monthly stay time), activities at home (telecommuting, housework, domestic work, etc.), ownership of an electric vehicle (EV), electrification rate, ownership of large home appliances, etc. The above categories are set in advance and stored in the storage unit 30.
[0250] The category selection unit 253 divides the selected damage costs C5 into categories and creates multiple damage cost data Cr. The category selection unit 253 stores the damage cost data Cr as damage cost accumulation data D354 in the storage unit 30. The damage cost accumulation data D354 is data in which damage cost data Cr created based on damage costs C5 calculated in the past is accumulated.
[0251] The category selection unit 253 may attach a category label to the created damage cost data Cr and store it in the storage unit 30 as damage cost accumulation data D354.
[0252] An example of the damage cost accumulation data D354 is shown in Fig. 20. As shown in Fig. 20, the damage cost accumulation data D354 is labeled for each category and shows damage cost C5, opportunity loss amount A3a, and owned property loss amount A3b. For example, it shows that the damage cost C5 on a summer weekday afternoon is 2,000 yen / kWh, the opportunity loss amount A3a is 30 yen, and the owned property loss amount A3b is 10 yen.
[0253] Data relating to search conditions for the damage cost data Cr transmitted from a user's terminal device 90 via the Internet, a mobile phone communication line, or the like is input to the transmitting / receiving unit 50. The data relating to the search conditions is information relating to the category of the damage cost data Cr stored in the damage cost accumulation data D304.
[0254] The data relating to the search conditions input to the transmitting / receiving unit 50 is transmitted to the data searching unit 254 of the calculation unit 20. The data searching unit 254 searches the damage cost accumulation data D354 stored in the memory unit 30, and transmits the damage cost data Cr that matches the search conditions to the transmitting / receiving unit 50.
[0255] Users of the Internet or mobile phone communication lines input data related to search conditions, such as the time of day when the power outage occurred, whether it was a weekday / holiday / special day, season, location of the power outage, the consumer's gender, age, time spent at home (time of day, average monthly stay time), activities while at home (telecommuting, housework, domestic work, etc.), EV ownership, electrification rate, ownership of large home appliances, etc. The data search unit 254 transmits damage cost data Cr that matches the search conditions to the transceiver unit 50.
[0256] The transmitting / receiving unit 50 transmits the damage cost data Cr searched by the data searching unit 254 to the user's terminal device 90 via a public electronic communication line 80 such as the Internet or a mobile phone communication line. The damage cost data Cr that matches the search conditions may be displayed on a screen, printed out, or output as electronic data by the output unit 40. Data related to the search conditions may also be input by the input unit 10 via an operating device such as a touch switch, keyboard, or mouse, or via a receiving circuit or an external memory connection circuit.
[0257] The estimated data creation unit 255 creates estimated damage cost data D355 based on the damage cost accumulation data D354 created by the category selection unit 253. The estimated damage cost data D355 is created based on the damage cost accumulation data D354 that was created in the past and accumulated and stored in the memory unit 30.
[0258] The estimated data creation unit 255 performs a factor analysis of the damage cost C5 calculated in the past based on the damage cost accumulation data D354, and creates a polynomial based on the contribution degree. Using the created polynomial, it calculates the estimated damage cost Cs and creates estimated damage cost data D355.
[0259] The estimated data creation unit 255 creates a polynomial based on factor analysis, such as (Equation 11). Estimated damage cost Cs=a×Ya+b×Yb+c×Yc+d×Yd+e×Ye +f×Yf+···+n×Yn ...(Formula 11) a: Power outage time period coefficient b: Coefficient of number of days of power outage c: Power outage seasonal coefficient d: Lifestyle coefficient e: Coefficient of owned property f: Electrification rate coefficient ... n: Other coefficients
[0260] In (Equation 11), Ya to Yn are predetermined standard values. Ya to Yn may be costs determined as standard values by the government or the like, or may be costs calculated based on the damage cost accumulation data D354 and determined as standard values.
[0261] For example, if the damage cost C5 included in the damage cost accumulation data D354 is 400 yen / kWh, the estimated damage cost Cs according to (Equation 11) is assumed to be 400 yen / kWh, and the power outage time period coefficient a, power outage number of days coefficient b, power outage season coefficient c, lifestyle coefficient d, owned property coefficient e, electrification rate coefficient f, and other coefficients n are calculated.
[0262] The estimated data creation unit 255 calculates the estimated damage cost Cs using (Equation 11) based on the calculated power outage time period coefficient a, power outage day count coefficient b, power outage season coefficient c, lifestyle coefficient d, owned property coefficient e, electrification rate coefficient f, and other coefficients n. The estimated data creation unit 255 stores the calculation formula for the estimated damage cost Cs in (Equation 11) and each coefficient used to calculate the estimated damage cost Cs in the storage unit 30 as estimated damage cost data D355.
[0263] The estimated damage cost Cs calculated in the past may be accumulated and stored as estimated damage cost data D355 in the storage unit 30. The estimated data creation unit 255 creates a calculation formula for the estimated damage cost Cs according to (Equation 11) and each coefficient used to calculate the estimated damage cost Cs for each category selected by the category selection unit 253, and stores these in the storage unit 30 as the estimated damage cost data D355.
[0264] The estimated data creation unit 255 may also create the estimated damage cost data D355 based on data (so-called big data) accumulated and stored on an external internet site or the like.
[0265] Data relating to the calculation conditions for the estimated damage cost Cs transmitted from a user's terminal device 90 via the Internet, a mobile phone communication line, or the like is input to the transmitting / receiving unit 50. The data relating to the calculation conditions is information relating to the calculation formula for the estimated damage cost Cs stored in the estimated damage cost data D355 and each coefficient used in calculating the estimated damage cost Cs.
[0266] The data relating to the calculation conditions input to the transmitting / receiving unit 50 is transmitted to the estimated data creation unit 255 of the calculation unit 20. The estimated data creation unit 255 searches the estimated damage cost data D355 stored in the storage unit 30, and extracts a calculation formula for the estimated damage cost Cs that matches the calculation conditions, and each coefficient used to calculate the estimated damage cost Cs.
[0267] The estimated data creation unit 255 calculates the estimated damage cost Cs using a calculation formula for the estimated damage cost Cs that meets the calculation conditions and each coefficient used to calculate the estimated damage cost Cs. The estimated data creation unit 255 transmits the calculated estimated damage cost Cs to the transmission / reception unit 50.
[0268] Users of the Internet or mobile phone communication lines input data related to the calculation conditions, such as the duration of power outages related to power outage time period coefficient a, the number of power outage days related to power outage day count coefficient b, the season related to power outage season coefficient c, information on lifestyle coefficient d, information on owned property coefficient e, and the electrification rate related to electrification rate coefficient f. Information related to lifestyle coefficient d is, for example, information on time spent at home (time of day, average monthly stay time) and activities at home (telecommuting, housework, domestic work, etc.). Information related to owned property coefficient e is, for example, information on ownership of EVs and large home appliances.
[0269] The estimated data creation unit 255 selects a calculation formula for the estimated damage cost Cs that matches the calculation conditions, as well as a power outage time period coefficient a, a power outage number of days coefficient b, a power outage season coefficient c, a lifestyle coefficient d, an owned property coefficient e, an electrification rate coefficient f, etc. from the estimated damage cost data D355, and calculates the estimated damage cost Cs.
[0270] The estimated data creation unit 255 transmits the estimated damage cost Cs that meets the calculation conditions to the transmission / reception unit 50.
[0271] The estimated damage cost data D355 accumulates and stores estimated damage costs Cs calculated in the past. The estimated data creation unit 255 may select an estimated damage cost Cs that matches the calculation conditions from the estimated damage cost data D355.
[0272] The transmitter / receiver 50 transmits the estimated damage cost Cs calculated by the estimated data creation unit 255 to the user's terminal device 90 via a public electronic communication line 80 such as the Internet or a mobile phone communication line. The estimated damage cost Cs that meets the calculation conditions may be displayed on a screen, printed out, or output as electronic data by the output unit 40. Data related to the calculation conditions may also be input by the input unit 10 via an operating device such as a touch switch, keyboard, or mouse, or via a receiving circuit or an external memory connection circuit.
[0273] The estimated damage cost Cs may indicate an allowable range (fluctuation range). The estimated data creation unit 255 may perform calculations using a statistical method based on the damage cost accumulation data D354 to calculate the estimated damage cost Cs having an allowable range. For example, the estimated damage cost Cs is a numerical value having a range of 500 yen to 575 yen.
[0274] The operation of the power outage damage calculation device 1 may be realized by a computer program shown in Fig. 19. The computer program shown in Fig. 19 is stored in the calculation unit 20 of the power outage damage calculation device 1.
[0275] (Step S31: Categorize and select damage cost data) The calculation unit 20 categorizes and selects the damage costs C5, and creates damage cost data Cr. The operation of step S31 is executed by the category selection unit 253 of the calculation unit 20. The category selection unit 253 categorizes the damage costs C5, and creates multiple pieces of damage cost data Cr. The category selection unit 253 stores the damage cost data Cr in the memory unit 30 as damage cost accumulation data D354.
[0276] (Step S32: When the search conditions are received, the damage cost data Cr that matches the search conditions is transmitted.) When the calculation unit 20 receives data related to search conditions for damage cost data Cr from the user's terminal device 90, it transmits damage cost data Cr that matches the search conditions. The operation of step S32 is executed by the data search unit 254 of the calculation unit 20. When data related to the search conditions is input to the transmission / reception unit 50, the data search unit 254 searches the damage cost accumulation data D354 stored in the memory unit 30 and transmits the damage cost data Cr that matches the search conditions to the transmission / reception unit 50. If the search conditions are not received, the program skips step S32 and proceeds to step S33.
[0277] The transmitting / receiving unit 50 transmits the damage cost data Cr retrieved by the data retrieval unit 254 to the user's terminal device 90 via a public electronic communication line 80 such as the Internet or a mobile phone communication line.
[0278] (Step S33: Creating estimated damage cost data D355) The calculation unit 20 creates estimated damage cost data D355 used to predict damage due to a power outage. The operation of step S33 is executed by the estimated data creation unit 255 of the calculation unit 20. The estimated data creation unit 255 performs a factor analysis of the damage cost C5 calculated in the past based on the damage cost accumulation data D354, creates a polynomial based on the contribution rate, and uses this as a calculation formula for the estimated damage cost Cs.
[0279] The estimated data creation unit 205 stores the formula for calculating the estimated damage cost Cs and each coefficient used to calculate the estimated damage cost Cs in the storage unit 30 as estimated damage cost data D355.
[0280] (Step S34: When the calculation conditions are received, calculate the estimated damage cost Cs that matches the calculation conditions) When the calculation unit 20 receives data related to the calculation conditions for the estimated damage cost Cs from the user's terminal device 90, it calculates and transmits the estimated damage cost Cs that matches the calculation conditions. The operation of step S34 is executed by the estimated data creation unit 255 of the calculation unit 20. When data related to the calculation conditions is input to the transmission / reception unit 50, the estimated data creation unit 255 searches the estimated damage cost data D355 stored in the memory unit 30 and extracts the calculation formula for the estimated damage cost Cs that matches the calculation conditions and each coefficient used to calculate the estimated damage cost Cs. If the calculation conditions are not received, the program skips step S34.
[0281] The estimated data creation unit 255 calculates the estimated damage cost Cs using a calculation formula for the estimated damage cost Cs that meets the calculation conditions and each coefficient used to calculate the estimated damage cost Cs. The estimated data creation unit 255 transmits the calculated estimated damage cost Cs to the transmission / reception unit 50.
[0282] The transmitting / receiving unit 50 transmits the estimated damage cost Cs calculated by the estimated data creating unit 255 to the user's terminal device 90 via a public electronic communication line 80 such as the Internet or a mobile phone communication line.
[0283] The above is the operation of the power outage damage calculation device 1 according to this embodiment.
[0284] [4-2. Effects] (1) According to this embodiment, the calculation unit 20 of the power outage damage calculation device 1 has a category selection unit 253 that sorts, accumulates, and stores the damage costs calculated by the damage cost calculation unit 202 by predetermined category, and a data search unit 254 that searches the damage costs sorted, accumulated, and stored by the category selection unit 253 based on data related to search conditions entered by the user, so that the damage costs for each category can be quickly provided to the user.
[0285] If a user is not sure of their own damage costs, they can ascertain the damage costs by inputting search conditions into the power outage damage calculation device 1. Data on damage costs that match the search conditions is provided, so the user can obtain damage costs that better match the actual situation of the consumer.
[0286] In addition, the information provided on damage costs includes time conditions such as the time of day the power outage occurred, whether it was a weekday / holiday / special day, and the season, as well as information on consumer conditions such as whether the power outage occurred at home or whether they owned an EV, so users can also understand the factors that contribute to the magnitude of damage costs.
[0287] (2) According to this embodiment, the calculation unit 20 of the power outage damage calculation device 1 has an estimated data creation unit 255 that analyzes the contribution of each factor to create a polynomial based on the damage costs that have been sorted by category, accumulated, and stored by the category selection unit 253, and calculates the estimated damage cost, which is the damage cost estimated to occur due to a power outage, based on the created polynomial.Therefore, even if there is no damage cost that matches the search conditions in the damage cost accumulation data D354 created in the past, it is possible to provide a damage cost that more closely matches the actual situation of the consumer.
[0288] The estimated data creation unit 255 calculates estimated damage costs based on the damage costs that have been sorted by category, accumulated, and stored by the category selection unit 253, and can therefore provide more accurate damage costs that are more in line with the actual circumstances of the consumer.
[0289] Previously, damage costs were estimated based on data obtained through surveys using contingent valuation methods, etc. When there was a high degree of uncertainty in the distribution of data or response results, information regarding assumed conditions in the calculation was added to calculate the estimated damage costs. The damage to general consumers in the event of a power outage is difficult to specify, and it was difficult to accurately calculate damage costs using conventional technology.
[0290] The power outage damage calculation device 1 according to this embodiment analyzes the contribution of each factor in the power usage pattern of a consumer to create a polynomial, and calculates the estimated damage cost of each consumer. This allows the estimated damage cost to be calculated with high accuracy.
[0291] Data on the estimated damage costs of individual consumers can be collected by the local government and used to estimate the total damage costs of the local government. The power outage damage calculation device 1 according to this embodiment can visualize the magnitude of the damage costs of general consumers residing in the local government.
[0292] The general consumers living in a local government each have their own individual characteristics in terms of their lifestyle and electricity usage. The power outage damage calculation device 1 calculates the estimated damage cost more accurately according to the consumer's electricity usage.
[0293] The estimated damage costs calculated by the power outage damage calculation device 1 can be used by local governments to help them select types of damage that can be avoided at customers and prioritize power outage damage countermeasures, as well as to support them in calculating the costs of recovering from psychological damage that is difficult to express in monetary terms and the costs of environmental load emissions.Furthermore, the estimated damage costs calculated by the power outage damage calculation device 1 are expected to be useful for local governments in calculating the damage costs related to universal services and aging measures in their jurisdiction.
[0294] [5. Fifth Embodiment] [5-1. Composition and Function] The power outage damage calculation device 1 according to the fifth embodiment will be described with reference to Fig. 21. The power outage damage calculation device 1 according to the fifth embodiment differs from the power outage damage calculation device 1 according to the fourth embodiment in that the calculation unit 20 has a damage cost display data creation unit 256, and in that the data transmitted and received by the transmission and reception unit 50 includes damage cost display data D356.
[0295] Other configurations of the power outage loss calculation device 1 according to the fifth embodiment are the same as the configuration of the power outage loss calculation device 1 according to the fourth embodiment shown in Fig. 18. The same components as those of the power outage loss calculation device 1 according to the fourth embodiment are assigned the same reference numerals, and duplicated explanations will be omitted.
[0296] The outline of the power outage damage calculation device 1 according to the fifth embodiment is as follows.
[0297] The damage cost display data creation unit 256 of the calculation unit 20 creates damage cost display data D356 on a damage cost display screen that displays, as a graph or list, at least one of the damage cost C5 related to the damage cost accumulation data D354 selected, accumulated, and stored by category by the category selection unit 253, and the estimated damage cost Cs related to the estimated damage cost data D355 calculated by the estimated data creation unit 255.
[0298] The damage cost display data D356 is transmitted and received by the transmitting and receiving unit 50 via a public electronic communication line 80 such as the Internet or a mobile phone communication line.
[0299] The transmitting / receiving unit 50 is connected to a public electronic communication line 80 such as the Internet or a mobile phone communication line. The transmitting / receiving unit 50 transmits the estimated damage cost input by a user via the Internet, a mobile phone communication line, or the like to the damage cost display data creation unit 256. The estimated damage cost indicates the level of compensation for a power outage desired by the user.
[0300] The damage cost display data creation unit 256 receives damage cost display data D356 in which the estimated damage cost has been plotted by the user at the corresponding position on the graph or list of at least one of the damage cost C5 and the estimated damage cost Cs on the damage cost display screen for the damage cost display data D356.
[0301] Damage cost display data D356, in which estimated damage costs are plotted by the user, is transmitted and received by the transmitting and receiving unit 50 via a public electronic communication line 80 such as the Internet or a mobile phone communication line.
[0302] Details of the operation of the power outage damage calculation device 1 according to the fifth embodiment are as follows.
[0303] As shown in the fourth embodiment, the damage cost C5 is sorted into categories such as the time of day when the power outage occurred, weekday / holiday / special day, season, location of the power outage, the consumer's gender, age, time spent at home (time of day, average monthly stay time), activities at home (telecommuting, housework, domestic work, etc.), ownership of an EV, electrification rate, and ownership of large home appliances.
[0304] The category selection unit 253 divides the selected damage costs C5 into categories and creates multiple damage cost data Cr. The category selection unit 253 stores the damage cost data Cr as damage cost accumulation data D354 in the storage unit 30. The damage cost accumulation data D354 is data in which damage cost data Cr created based on damage costs C5 calculated in the past is accumulated.
[0305] The estimated data creation unit 255 creates estimated damage cost data D355 based on the damage cost accumulation data D354 created by the category selection unit 253. The estimated damage cost data D355 is created based on the damage cost accumulation data D354 that was created in the past and accumulated and stored in the memory unit 30.
[0306] The estimated damage costs Cs calculated in the past are accumulated and stored in the storage unit 30 as estimated damage cost data D355.
[0307] The damage cost display data creation unit 256 creates damage cost display data D356 for a damage cost display screen that displays, in graph or list, the damage costs C5 for the damage cost accumulation data D354 that has been selected, accumulated, and stored by category by the category selection unit 203, or the estimated damage costs Cs for the estimated damage cost data D355 calculated by the estimated data creation unit 205. The damage cost display data creation unit 256 stores the created damage cost display data D356 in the storage unit 30.
[0308] The damage cost display data D356 is transmitted from the transmitting / receiving unit 50. The damage cost display data D356 is received by the user's terminal device 90 via a public electronic communication line 80 such as the Internet or a mobile phone communication line. The user's terminal device 90 displays the data related to the damage cost display data D356 in the form of a graph or a list.
[0309] FIG. 22 shows an example of the display of damage cost display data D356 on the user's terminal device 90. As shown in FIG. 22(a), the display of the damage cost display data D356 shows the price range of the damage cost C5 for each category in the form of a graph. As shown in FIG. 22(b), the display of the damage cost display data D356 may show the damage cost for each category in the form of a list. In addition, a specific example of a trial calculation may be displayed at the same time. For example, the example of a trial calculation may be displayed as follows: [Opportunity loss amount] Online education: 1,000 yen / hour Housework such as laundry, cleaning, cooking, etc.: 500 yen / hour [Amount of property lost] Items in the freezer: 5 frozen foods, 3 dairy products, 10 vegetables, total 3,000 yen
[0310] The price range of damage costs is created based on the damage cost data Cr stored in the storage unit 30 as damage cost accumulation data D354, or the estimated damage costs Cs stored in the storage unit 30 as estimated damage cost data D355. The upper and lower limits of the price range of damage costs may be the upper and lower limits of the damage cost data Cr stored in the storage unit 30 as damage cost accumulation data D354. Alternatively, the upper and lower limits of the price range of damage costs may be calculated by statistical frequency based on the damage cost data Cr.
[0311] The price range for the damage cost data Cr stored in the memory unit 30 as damage cost accumulation data D354, or the estimated damage cost Cs stored in the memory unit 30 as estimated damage cost data D355, is displayed by sorting into categories such as the time of day when the power outage occurred, weekday / holiday / special day, season, location of the power outage, the consumer's gender, age, time spent at home (time of day, average monthly stay time), activities at home (telecommuting, housework, domestic work, etc.), EV ownership, electrification rate, and ownership of large home appliances.
[0312] When a power outage occurs, the user inputs the estimated damage cost into his / her terminal device 90. For example, the estimated damage cost is plotted and input by the user on the graph shown in Figure 22(a). The estimated damage cost may also be plotted on the list shown in Figure 22(b).
[0313] FIG. 22(b) shows the range of damage costs according to the damage cost accumulation data D354. For example, the opportunity loss amount related to the damage cost accumulation data D354 in the afternoon, weekday, and summer is shown to be in a range of 10-20 yen. The range of damage costs when the consumer conditions are changed may also be shown in parentheses. For example, the opportunity loss amount related to the damage cost accumulation data D354 in the afternoon, weekday, and summer is shown to be in a range of 20-30 yen.
[0314] 22(a) and 22(b) may show the allowable range (fluctuation range) of the estimated damage cost Cs. The allowable range of the estimated damage cost Cs is calculated by the estimated data creation unit 255 using a statistical method based on the damage cost accumulation data D354.
[0315] The graphs or lists shown in Figures 22(a) and 22(b) may indicate the range of estimated damage costs previously input by the user.
[0316] A graph showing the price range of damage costs, on which the damage costs estimated by the user are plotted, is transmitted from the terminal device 90 to the transceiver unit 50 of the power outage damage calculation device 1 via a public electronic communication line 80 such as the Internet or a mobile phone communication line.
[0317] The transmitting / receiving unit 50 transmits a graph showing the price range in which the damage costs estimated by the user are plotted to the damage cost display data creation unit 256. The damage cost display data creation unit 256 plots the estimated damage costs input by the user at a position corresponding to the damage cost C5 or estimated damage cost Cs on the damage cost display screen for the damage cost display data D356, and stores it in the storage unit 30 as new damage cost display data D356.
[0318] The new damage cost display data D356 stored in the storage unit 30 may be transmitted again from the transmitting / receiving unit 50 via a public electronic communication line 80 such as the Internet or a mobile phone communication line. The new damage cost display data D356 stored in the storage unit 30 may be output from the output unit 40.
[0319] A graph showing price ranges for damage costs, with the user's estimated damage costs plotted, can be used to help determine compensation for power outages.
[0320] The above is the operation of the power outage damage calculation device 1 according to this embodiment.
[0321] In the above, the power outage damage calculation device 1 according to this embodiment is realized by providing a damage cost display data creation unit 256 in the calculation unit 20 of the power outage damage calculation device 1 according to the fourth embodiment, and by causing the damage cost display data D356 to be transmitted and received by the transmission and reception unit 50. The power outage damage calculation device 1 according to this embodiment may also be realized by providing a damage cost display data creation unit 256 in the calculation unit 20 of the power outage damage calculation device 1 according to the second embodiment, and by causing the damage cost display data D356 to be transmitted and received by the transmission and reception unit 50.
[0322] [5-2.Effects] (1) According to this embodiment, the power outage damage calculation device 1 has a damage cost display data creation unit 256 that creates damage cost display data D356 on a damage cost display screen that displays, in a graph or list, at least one of the damage costs related to the damage cost accumulation data D354 that has been selected by category by the category selection unit 253, accumulated, and stored, and the estimated damage costs related to the estimated damage cost data D355 calculated by the estimated data creation unit 255.Therefore, the user can grasp the damage costs or estimated damage costs by means of a graph or list.
[0323] (2) According to this embodiment, the damage cost display data creation unit 256 of the power outage damage calculation device 1 receives damage cost display data D356 in which the estimated damage cost is plotted by the user at the corresponding position of a graph or list for at least one of the damage cost and estimated damage cost on the damage cost display screen related to the damage cost display data D356, and therefore the damage cost estimated by the user can be quickly received.
[0324] (3) According to this embodiment, the damage cost display data D356 created by the damage cost display data creation unit 256 and the damage cost display data D356 in which the estimated damage costs are plotted by the user are transmitted and received by the transmitting / receiving unit 50 via public electronic communication lines. Therefore, the damage cost display data D356 can be easily transmitted and received between users of public electronic communication lines such as the Internet and mobile phone communication lines.
[0325] According to this embodiment, at least one of the damage costs related to the damage cost accumulation data D354 and the estimated damage costs related to the estimated damage cost data D355 calculated by the estimated data creation unit 255 is displayed in the form of a graph or a list. The user can easily express their own estimated damage costs by plotting the damage costs or the estimated damage costs at the corresponding position on the graph or list displaying the estimated damage costs.
[0326] The user can express their own estimated damage costs by judging the magnitude of the damage costs displayed in the graph or list. Based on the damage costs estimated by the user, the damage costs of individual consumers can be calculated with high accuracy.
[0327] In the past, damage caused by power outages to general consumers was collected through questionnaire surveys. However, in many cases, no numerical value was provided as a basis for calculating the damage amount, and responses varied widely, with many people not responding at all, making the damage cost responses from users unreliable. Furthermore, questionnaire surveys were not only economically burdensome, but also required a lot of time for collection and analysis.
[0328] The power outage damage calculation device 1 of this embodiment uses public electronic communication lines, including social media, to display past data from the damage cost accumulation data D354 and ask users to respond by indicating whether they agree or disagree with the value, thereby making it possible to accurately grasp the estimated damage costs of individual consumers.
[0329] The power outage damage calculation device 1 according to this embodiment receives an estimated damage cost as input by a user, and can therefore accurately calculate the damage cost of a consumer based on this.
[0330] The damage costs calculated by the power outage damage calculation device 1 can be used by local governments to help them select types of damage that can be avoided at customers and prioritize power outage damage countermeasures, as well as to support them in calculating the costs of recovering from psychological damage that is difficult to express in monetary terms and the costs of environmental impact emissions. Furthermore, the estimated damage costs calculated by the power outage damage calculation device 1 are expected to be useful for local governments in calculating the damage costs for universal services and aging measures in their jurisdiction.
[0331] 6. Other Embodiments Although embodiments including modifications have been described, these embodiments are presented as examples and are not intended to limit the scope of the invention. These embodiments can be implemented in various other forms, and various omissions, substitutions, and modifications can be made without departing from the spirit of the invention. These embodiments and their modifications are included within the scope and spirit of the invention, as well as within the scope of the invention and its equivalents as set forth in the claims. The following is an example.
[0332] (1) Each unit in the above embodiment may be realized by steps related to a computer program for a power outage damage calculation device or procedures related to a power outage damage calculation method. The steps executed by the loss amount calculation unit 201 may be realized by a loss amount calculation step, and the procedures executed may be realized by a loss amount calculation procedure. The steps executed by the damage cost calculation unit 202 may be realized by a damage cost calculation step, and the procedures executed may be realized by a damage cost calculation procedure.
[0333] (2) In the above embodiment, the storage unit 30 is provided inside the power outage damage calculation device 1. However, the storage unit 30 may be provided outside the power outage damage calculation device 1. For example, the storage unit 30 may be provided on a server or cloud outside the power outage damage calculation device 1. The storage unit 30 may also be configured with multiple individual storage devices. The data stored in the storage unit 30 may be stored by individual devices. [Explanation of symbols]
[0334] 1...Power outage damage calculation device 10 Input section 101 Production volume input section 102 Power dependency input section 103 Power consumption input section 151 Attribute information input section 152 Lifestyle input section 153 Property input section 20... Arithmetic section 201 Loss Amount Calculation Department 202 Damage Cost Calculation Department 203,253···Category Selection Section 204,254 Data search section 205,255... Estimation data creation section 256 Damage Cost Display Data Creation Department 30...Storage section D301...Product Price Data D302 Labor Cost Data D303...Restart cost data D304 Accumulated Damage Cost Data D305 Estimated Damage Cost Data D351 Damage Cost Data by Lifestyle D352: Property Cost Data D354 Accumulated Damage Cost Data D355 Estimated Damage Cost Data 40 Output section 50 Transmitter / receiver 70...Equipment 71 Sensor 72 Measuring equipment 73. Detection device 75 Sensor 80 Public Telecommunications Network 90 Terminal equipment
Claims
1. an input unit into which consumer information, which is information relating to the manner in which the consumer uses power, receives input; a loss amount calculation unit that calculates the loss amount of damage caused by a power outage at a power consumer that uses electricity based on the consumer information input to the input unit; a damage cost calculation unit that calculates a damage cost, which is the amount of damage per unit amount of power, based on the amount of loss calculated by the loss amount calculation unit; Power outage damage calculation device.
2. The customer information input to the input unit includes a power dependency indicating a proportion of the damage caused by a power outage that is attributable to the power outage, The damage cost calculation unit calculates the damage cost by multiplying the loss amount calculated by the loss amount calculation unit by the power dependence included in the customer information input to the input unit. The power outage damage calculation device according to claim 1.
3. The customer information input to the input unit includes at least one of production volume information and labor cost information related to production at the customer. The power outage damage calculation device according to claim 1.
4. The consumer information input to the input unit includes lifestyle information, which is information about the consumer's behavior in life, and owned property information, which is information about the consumer's owned property, The loss amount calculation unit calculates an opportunity loss amount, which is the amount of disadvantage suffered due to being unable to act due to the occurrence of a power outage, based on the lifestyle information included in the consumer information input to the input unit, Calculating the amount of loss of owned property, which is the amount of financial disadvantage caused by the occurrence of the power outage, based on the owned property information included in the customer information; Adding the amount of opportunity loss and the amount of property loss to calculate the amount of loss. The power outage damage calculation device according to claim 1.
5. The input unit detects an amount related to production at the consumer or an amount related to a behavioral pattern in the consumer's life using a sensor and inputs the detected amount as consumer information. The power outage damage calculation device according to claim 1.
6. a category selection unit that sorts, accumulates, and stores the damage costs calculated by the damage cost calculation unit according to predetermined categories; a data search unit that searches the damage costs that have been sorted by category, accumulated, and stored by the category selection unit, based on data related to search conditions input by a user; The power outage damage calculation device according to claim 1.
7. An estimated data creation unit that analyzes the contribution of each factor to create a polynomial based on the damage costs sorted by category, accumulated, and stored by the category selection unit, and calculates an estimated damage cost, which is the damage cost estimated to occur due to a power outage, based on the created polynomial. The power outage damage calculation device according to claim 6.
8. a damage cost display data creation unit that creates damage cost display data for a damage cost display screen that displays, in a graph or list, at least one of the damage costs selected by the category selection unit, accumulated and stored, and the estimated damage costs calculated by the estimated data creation unit; The power outage damage calculation device according to claim 7.
9. The damage cost display data creation unit receives damage cost display data in which estimated damage costs are plotted by a user at corresponding positions in a graph or list of at least one of the damage costs and the estimated damage costs on the damage cost display screen related to the damage cost display data. The power outage damage calculation device according to claim 8.
10. The damage cost display data created by the damage cost display data creation unit and the damage cost display data in which estimated damage costs are plotted by a user are transmitted and received via public electronic communication lines. The power outage damage calculation device according to claim 9.
11. On the computer, a loss amount calculation step of calculating the amount of loss caused by the power outage at the power consumer based on the input consumer information, which is information relating to the power usage pattern at the power consumer; a damage cost calculation step of calculating a damage cost, which is the amount of damage per unit amount of power, based on the amount of loss calculated in the loss amount calculation step; A computer program for a power outage damage calculation device that executes the above.
12. a loss amount calculation step for calculating the amount of loss caused by the power outage at the power consumer based on the input consumer information, which is information relating to the power usage pattern at the power consumer; a damage cost calculation procedure for calculating a damage cost, which is the amount of damage per unit amount of power, based on the amount of loss calculated by the loss amount calculation procedure; A power outage damage calculation method.
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