JP5350193B2 - Application decomposition apparatus, application decomposition method, and application decomposition program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a device for dividing the use of energy for analysis, according to the current status. <P>SOLUTION: The device for dividing the use of energy includes: a three-purpose division table 315a that regulates a ratio of monthly energy consumption for each purpose; a ratio table 316a that regulates a ratio of monthly energy consumption for supplying hot water; a storing part 210 for storing the total electric energy of each month; and a power-use division part 300. The power-use division part 300 includes: a first rough estimating means 321 for roughly estimating the monthly energy consumption for each use, on the basis of the ratio table 316a and the three-purpose division table 315a; a second rough estimating means 322 for roughly estimating the energy consumption for each use from the total electric energy, on the basis of the three-purpose division table 315a; a determining means 323 for determining whether to employ the rough estimation by the first rough estimating means 321 or by the second rough estimating means 322; and a third rough estimating means 324 for roughly estimating the monthly energy consumption for heating and cooling, on the basis of a determination result. <P>COPYRIGHT: (C)2011,JPO&amp;INPIT

Description

  The present invention relates to a use disassembling apparatus, a use disassembling method, and a use disassembling program for disassembling a total amount of electric power supplied to a so-called fully electrified environment such as a detached house and a dwelling unit of an apartment house.

  Conventionally, energy saving is demanded from the viewpoints of conservation of global resources and economic efficiency. For this reason, it is required to reduce energy consumption of facilities and devices themselves and to save energy in terms of operation. In industrial facilities that consume a large amount of energy in factories and the like, various devices have been devised for monitoring energy consumption for each facility and for rational operation.

  On the other hand, equipment used for each residential unit in the consumer sector usually does not have a function for monitoring such energy consumption. Energy conservation activities at home, etc. are carried out by qualitative acts such as turning off the light frequently or lowering the set temperature of heating, but there are no indicators that show energy conservation activities as a result. It is difficult to realize. In such a situation, there is a lack of motivation for energy conservation activities, and the fact is that it relies on multiple motivations such as education, customs, obligations and lifestyle ideas, and quantitative energy conservation measures have not progressed much. .

  On the other hand, the applicant of the present application evaluates the tendency of his / her behavior in Patent Document 1 by inputting and accumulating the amount of consumption for each energy type and expressing it by comparison with past data and other people's data. A life improvement support system is proposed. This allows each person to look back on his actions and use it to improve energy conservation activities.

  However, it is considered that energy saving activities will be facilitated by knowing not only the consumption trend for each energy type, but also how much it was used for which purpose.

  On the other hand, a load centralized control system is known as one that supports such human efforts (Non-Patent Document 1). The above-mentioned load centralized control system is a power supply company that remotely measures the watt-hour meter at home and accumulates the data. At home, this data is accessed via a telephone line, etc. Can be seen on a monitor screen in the home. According to this system, it is possible to generate a motive for power saving that allows the consumer to know that the power consumption has increased.

  Furthermore, Patent Document 2 discloses a load type analyzer that can specifically display the energy consumption tendency in units of households or offices using a computer. According to Patent Document 2, the load type analysis device can display energy consumption separately for each consumption application such as hot water supply and lighting, and can diagnose energy propensity from the display.

JP 2004-086864 A JP 2000-162253 A

New Energy and Industrial Technology Development Organization (Internet URL: http://www.nedo.go.jp/kankobutsu/bestmix/topics28.html)

  Since it is sufficient to grasp the general tendency of the above energy consumption propensity, a suitable length (for example, one month) is set for the unit period of calculation. Depending on the application, the energy consumption tendency depends to some extent on time. For example, the energy for cooling is concentrated in the summer and the energy for heating is concentrated in the winter.

  However, the configuration described in Patent Document 2 is capable of decomposing and analyzing the total power amount only for heating / cooling use, kitchen use, and illumination power use, and adopts all electrification to cover up to hot water supply with power. There was a problem that it could not be used in an environment. In addition, the power consumption by the hot water supply is used throughout the year, but is accompanied by seasonal fluctuations, so it cannot be assumed that it is constant throughout the year as in a kitchen application, but simply as in the configuration described in Reference 2. If the consumption of each month is analyzed on the basis of a month in which heating / cooling is not used, there is a possibility that a result significantly different from the actual situation may be produced.

  Therefore, the present invention provides a use decomposition apparatus, a use decomposition method, and a use decomposition program that can be decomposed and analyzed for energy consumption in accordance with the actual situation even in a fully electrified environment where hot water is supplied by electric power. Objective.

  (1) The application disassembling apparatus of the present invention divides one year into a plurality of unit periods, and for each unit period, the total amount of power supplied to a so-called all-electric building is used for hot water supply in the building, and for kitchen use. , A power application decomposition apparatus that can be decomposed for each of the power consumption of each of the use of lighting household appliances and the use of heating and cooling applications, excluding heating and cooling applications, and the hot water supply in each unit period A three-use disassembly table that defines the ratio of use, the kitchen use, and the lighting home appliance use, and one unit period belonging to an intermediate period in which heating and cooling are not used as a reference period, with respect to the ratio of hot water use use in the reference period A ratio table that prescribes the ratio of hot water usage for the remaining unit period, a storage unit that stores the total amount of power actually used in the building over the course of one year for each unit period, and is stored in the storage unit Each A power decomposing unit that decomposes the use of the total amount of electric power for a period, and the power decomposing unit approximates the hot water supply use for each unit period based on the ratio defined in the ratio table, and also decomposes the three uses. First estimating means for estimating the kitchen usage and lighting appliance usage of each unit period based on the ratio of the reference period specified in the table, and in the storage unit based on the ratio specified in the three-use decomposition table Adopting the result of the rough estimation of the hot water supply use, the kitchen use, and the lighting home appliance use from the stored total electric energy of each unit period, and the approximate result of either the first approximate measure means or the second approximate measure means It is characterized by comprising determination means for determining whether or not to perform, and third estimation means for approximating the heating / cooling usage of each unit period based on the result of the determination means.

  According to this, since the seasonal table of the hot water use application is anticipated in the ratio table in advance and the first approximate means for estimating the hot water supply use of each unit period based on the ratio table is provided, the amount of consumption change in the year In hot water supply applications that are large and often reflect the life stages and preferences of each household, it is possible to accurately disassemble the usage of power consumption. On the other hand, simply decomposing the power consumption of each unit period based on the ratio table may produce a result that is significantly different from the actual situation when the hot water consumption in the target household is very small compared to the approximate value. Therefore, in the application disassembling apparatus of the present invention, the apparatus includes second estimating means for estimating these uses using a three-use disassembly table that preliminarily defines the ratio of hot water supply use, kitchen use, and home appliance use. It is possible to carry out application disassembly that avoids a deviation from the actual situation by including a judging means for comparing and judging the first approximating means and the second approximating means, and adopting an approximate value that is most suitable by the judging means. It can be done.

  (2) The determination unit compares the total power amount of each unit period stored in the storage unit with the sum of the estimated values of the respective unit periods by the first estimation unit, and compares the total power amount If the larger one is used, the result of the estimation by the first estimation means is adopted, and if the total of the estimation values by the first estimation means is larger, the result of the estimation by the second estimation means is used. It is preferable to adopt.

  According to this, since the total power is an actual measurement value, it is determined that an approximate value exceeding the actual measurement value is different from the actual situation. On the other hand, since the second approximating means decomposes the total electric power based on the three-use decomposition table, the approximate value by the second approximating means is the total electric energy itself and does not exceed the total electric energy. In this way, by using the approximate value by the second approximate means only when the approximate value by the first approximate means is clearly different from the actual situation, the power consumption pattern due to the absence of a certain temporary period or the change in the living state. In general, it is possible to flexibly cope with a situation in which consistency cannot be achieved with only the ratio table, such as a change in the ratio.

  (3) In addition, the first approximating means approximates the hot water usage in the reference period by multiplying the total electric energy by the hot water usage ratio in the reference period specified in the three-use decomposition table, and It is preferable to estimate the hot water usage for each unit period by multiplying the approximate value of the hot water usage by the ratio defined in the ratio table.

  Seasonal fluctuations are expected in the ratio table in advance, so by multiplying the approximate value for hot water usage in the base period by the ratio in the ratio table, the effect of seasonal fluctuations can be factored into the hot water usage in each unit period. It has become.

  (4) Moreover, it is preferable that the said 1st estimation means estimates the kitchen use of each said unit period by applying the kitchen use of the said reference period to each unit period. The standard period is a period in which heating and cooling are not used, and it is considered that the seasonal variation factor is not most factored in. For applications without seasonal variation, the proportion of the standard period should be adopted as it is for other unit periods. Is considered preferable. In addition, it is known that the kitchen usage is a relatively small amount of use with respect to the overall power consumption. For this reason, even if the reference period value is applied to each unit period for kitchen use, it does not cause a significant flaw with the actual situation, and simplification of the calculation can be achieved. It is.

  (5) In view of this point, it is also preferable that the first approximating unit approximates the lighting home appliance use of each unit period by applying the lighting home appliance use of the reference period to each unit period. Lighting appliance use has little fluctuation in annual power consumption, and as described above, by applying the estimated value of the reference period for lighting appliance use to each unit period, it is possible not only to make a rough estimate but also to calculate Simplification can be achieved.

  (6) Moreover, it is preferable that the said 2nd rough estimation means estimates each use by distributing the total electric energy of the said unit period to the ratio of the said unit period prescribed | regulated to the said three-use decomposition | disassembly table. In the three-use decomposition table, the proportion of each use is defined by the three relative relationships of hot water use, kitchen use, and home appliance lighting use in each unit period. In order to disassemble into kitchen use and home appliance lighting use, even if the total power consumption of the unit period temporarily decreases due to the absence of a temporary period, at least the total power consumption is decomposed into these three applications. It is possible to cope with changes in the power consumption pattern due to changes in living conditions.

  (7) Moreover, the said 3rd rough calculation means subtracted the sum total of the hot water supply use employ | adopted by the result of the judgment of the said judgment means, the kitchen use, and the lighting household appliance use from the total electric energy of the said unit period. It is preferable to approximate as a cooling use or a heating use. According to this, after properly determining the use of kitchens and lighting appliances with little seasonal variation and the hot water supply use that needs some seasonal variation, estimate the heating and cooling applications with the largest fluctuations in annual power consumption. Therefore, the heating / cooling application can be appropriately estimated.

  (8) In addition, the power decomposing unit includes a certifying unit that certifies the unit period that is the smallest total power amount as the reference period when there are a plurality of candidates for the reference period among the unit periods. Preferably it is. According to this, the unit period in which the seasonal variation factors of heating and cooling are excluded as much as possible becomes the reference period, and thereby, three uses other than the heating and cooling use can be estimated more appropriately.

  (9) Further, the power decomposing unit is configured to obtain the water supply temperature acquisition unit capable of acquiring the temperature of the water supply supplied to the building in each unit period, and the water supply temperature acquired by the water supply temperature acquisition unit. It is preferable that a calculation means for calculating a hot water supply usage rate in the usage decomposition table is provided.

  Power consumption for hot water supply is consumed mainly by heating tap water, but the power consumption varies depending on the set temperature and the amount of hot water supply. The amount will be different. According to the above configuration, the temperature of the water supply (water supply temperature) is acquired by the water supply temperature acquisition means, and each application is calculated by the three-use decomposition table using the water supply temperature. In other words, by adding the water supply temperature as a factor for determining the ratio of hot water supply usage to the approximate hot water supply usage, the accuracy of the ratio for each unit period of hot water usage in the three usage decomposition table and the ratio table is further increased, and in turn the kitchen usage And the ratio of lighting appliances can be optimized.

  (10) Moreover, it is preferable that the said water supply temperature acquisition means estimates a water supply temperature based on the temperature of the area where the said building exists. According to this, it is possible to simplify the calculation of the feed water temperature by estimating the feed water temperature, which is difficult to measure in each estimated environment, from the air temperature.

(11) Further, the power decomposing unit adds the new unit period and removes the oldest unit period while excluding the oldest unit period in accordance with the input of the total power amount of the new unit period. It is preferable to provide a table updating means for updating the ratios of the usage decomposition table and the ratio table.

  As described above, since there are cases where the use of each unit period is disaggregated and those that do not include seasonal variation factors, the use of the total electric energy of one unit period is also disaggregated. A three-use disassembly table and a ratio table with a period of one year including a unit period and a reference period are required. According to the above configuration, when the total power consumption of the latest unit period is disassembled, the three-use disassembly table and the ratio table are updated in the latest one-year period including the unit period. Actual conditions such as the water supply temperature of the latest unit period can be reflected in the construction of each table, and each table can be created appropriately.

  (12) Furthermore, it is preferable that the application disassembling apparatus of the present invention further includes display means for displaying only the result of the application disassembly of the total power amount in the latest unit period among the unit periods. As described above, the table for the past year including the unit period can be updated, so that the usage decomposition for the past year can be reconstructed. However, what the user wants to confirm most is the latest unit period. It is a result of the use decomposition | disassembly in. Therefore, by providing the above-mentioned display means, the user can confirm the result of the use decomposition in the latest unit period that the user most wants to confirm. Alternatively, the visibility of the user can be improved by hiding the result of the use decomposition of each unit period over the past year that is not necessary for the user to be displayed.

  (13) The use disassembling method of the present invention divides one year into a plurality of unit periods, and for each unit period, the total amount of power supplied to a so-called all-electric building is used for hot water supply in the building, kitchen use, An electric power application decomposition method for disassembling the use of electric power for each of the use of lighting household appliances excluding heating and cooling applications and heating and cooling applications among household appliances, wherein the hot water supply application in each unit period And a three-use disassembly table that defines the ratio between the kitchen application and the lighting home appliance application, and the remaining period with respect to the ratio of the hot water supply application in the reference period, with one unit period belonging to the intermediate period not using heating and cooling as the reference period A ratio table that prescribes the ratio of hot water usage for a unit period of time, and a table preparation step for preparing the total power amount actually used in the building is stored in the storage unit over the year for each unit period. And a power decomposing step for decomposing a use of the total power amount of each unit period stored in the storing step by calculation of a power decomposing unit, wherein the power decomposing step is defined in the ratio table. The first estimation step of estimating the hot water supply usage of each unit period based on the ratio and estimating the kitchen usage and lighting appliance usage of each unit period based on the ratio of the reference period defined in the three usage decomposition table And, based on the ratio defined in the three-use disassembly table, a second approximating step of approximating the hot water supply use, the kitchen use, and the lighting home appliance use from the total power amount of each unit period stored in the storage step, A determination step for determining which of the first rough calculation step and the second rough calculation step should be adopted, and a third step of calculating the heating / cooling application for each unit period based on the result of the determination step Approximate process and Characterized in that it comprises a.

  (14) Further, the application disassembling program of the present invention divides one year into a plurality of unit periods, and for each unit period, the total amount of electric power supplied to a so-called fully electrified building is used for the hot water supply in the building, the kitchen A use disassembly program that causes a computer to execute power use disassembly processing that decomposes the use into each of the power consumption of each use of the use and the use of home appliances, excluding the use of heating and cooling, and the use of heating and cooling In the computer, a three-use disassembly table that defines the ratio of the hot water supply use, the kitchen use, and the lighting home appliance use in each unit period, and one unit period belonging to an intermediate period that does not use heating and cooling. A ratio table that defines the ratio of the hot water usage in the remaining unit period to the ratio of the hot water usage in the reference period as a period, and the total number actually used in the building A power storage process for storing a power amount for each unit period for one year; and a power decomposition process for decomposing a use of a total power amount of each unit period stored in the storage process. Approximate the hot water usage in each unit period based on the ratio specified in the ratio table, and the kitchen application and lighting appliance use in each unit period based on the ratio of the reference period specified in the three-use decomposition table And a hot water supply use, a kitchen use, and a lighting home appliance use from the total electric energy of each unit period stored in the storage process based on the first rough calculation process that approximates A second roughening process to be roughened; a determination process to determine which of the first roughening process and the second roughening process is to be adopted; For heating and cooling applications Characterized in that it comprises a third approximate process of calculation.

  According to such an application decomposition method and an application decomposition program, the ratio table is provided with first estimation means that anticipates the seasonal variation of the hot water supply application in advance and approximates the hot water supply application for each unit period based on the ratio table. Therefore, it is possible to disassemble the power consumption with high accuracy in a hot water supply application in which the amount of consumption change in the year is large and the life stage and preference of each home is often reflected. On the other hand, simply decomposing the power consumption of each unit period based on the ratio table may produce a result that is significantly different from the actual situation when the hot water consumption in the target household is very small compared to the approximate value. Therefore, the application decomposition method and the application decomposition program of the present invention include a second estimating means for estimating these uses using a three-use decomposition table that preliminarily defines the ratio of hot water supply use, kitchen use, and home appliance use. In addition, there is provided a judging means for judging the first approximating means and the second approximating means by comparing and calculating the most suitable value by the judging means, thereby avoiding a deviation from the actual situation. It is something that can be done.

  According to the application decomposing apparatus, the application decomposing method, and the application decomposing program of the present invention, it is possible to perform an analysis for use of energy consumption in accordance with the actual situation even in a fully electrified environment where hot water is supplied by electric power.

It is a block diagram which shows one Embodiment of the use decomposition | disassembly apparatus based on this invention. It is a graph which shows an example of correlation with temperature and water temperature. (A), (b) is a figure which shows an example of the input screen of a use decomposition | disassembly apparatus. (A)-(d) is a figure which shows an example of the screen display of the result output of a use decomposition | disassembly apparatus. It is a block diagram which shows an electric power use decomposition | disassembly part. It is a flowchart which shows the process by an electric power use decomposition | disassembly part. It is a flowchart which shows the process from the connector 1 of FIG. 6 to the connector 2. It is an example of the hot water supply illumination household appliance ratio table with which a use decomposition | disassembly apparatus is provided. It is an example of the standard table with which a use decomposition | disassembly apparatus is provided. It is an example of the 3 use decomposition | disassembly table with which a use decomposition | disassembly apparatus is provided. It is an example of the ratio table with which a use decomposition | disassembly apparatus is provided. It is an example of the 1st approximate result table which shows the approximate result by the 1st approximate means. It is an example of the use decomposition | disassembly result table which shows the processing result by an electric power decomposition | disassembly part. It is a flowchart which shows the process by the kerosene use decomposition | disassembly part.

  Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. The dimensions, materials, and other specific numerical values shown in the embodiment are merely examples for facilitating understanding of the invention, and do not limit the present invention unless otherwise specified. In the present specification and drawings, elements having substantially the same function and configuration are denoted by the same reference numerals, and redundant description is omitted, and elements not directly related to the present invention are not illustrated. To do.

  The application disassembling apparatus 100 shown in FIG. 1 is an apparatus used for analyzing energy consumption and the like in an environment in which one household is a unit such as a detached house or each dwelling unit of an apartment house. In the present embodiment, the environment is a single-family house that one dwelling unit occupies, but it may be another environment such as a single dwelling unit in a housing complex. In general, in a building such as this embodiment, it is possible to know the total amount of energy consumed every month, which is a unit period, but it is difficult to know how much the energy is consumed for what purpose. It is. In view of this, the application disassembling apparatus 100 distributes the amount of the known total electric power supplied to the building every month for which use, in particular for the energy covered by the building, in particular, the power, It can be estimated and estimated by calculation based on statistical data. The application disassembling apparatus 100 is particularly preferably used in an environment represented by a so-called all-electric building. Here, a fully electrified building refers to a building in an environment where energy is supplied by electric power and gas is not used as supplied energy.

  The application disassembling apparatus 100 includes a computer 110, an input unit 120, and a display unit 130 as an example of output means. The application disassembling apparatus 100 is realized by causing the computer 110 to execute an application disassembling program described below.

  The input unit 120 causes a user of the apparatus to input information and commands using a keyboard or a pointing device such as a mouse. Information and commands may be input from a remote client computer 104 via the network 102 such as the Internet. In this case, the network interface corresponds to the input unit 120.

  The display unit 130 is an output unit that displays various operation screens and information. In addition to a monitor directly connected to the computer 110, the display unit 130 may be a printer as long as it displays information only. Further, when accessing the application disassembling apparatus 100 from a remote location via a network, an operation screen and information can be displayed using a web page.

  The computer 110 has a general configuration, and includes a CPU that performs various processes and operations, a storage medium such as a hard disk that stores programs and data, and a RAM that is an area for executing programs. In the following description, the term “storage unit” means a storage area (file) secured in a storage medium.

  Next, a functional configuration of the application disassembling apparatus 100 will be described. This is almost equal to the configuration of the application decomposition program 200 at the same time.

  As shown in FIG. 1, the application decomposition program 200 includes a consumption amount storage unit 210, an application decomposition unit 216, an integration unit 218, an output unit 220, and a feed water temperature acquisition unit 222.

  The consumption amount storage unit 210 stores the total power amount and the kerosene amount for each unit period. What is stored in the consumption amount storage unit 210 is to store the consumption amount of each energy such as the actual power amount and kerosene amount for each unit period, and is the total amount that is not disassembled for each use for each energy.

  In this embodiment, the total power consumption and total kerosene amount for each unit period are measured individually for buildings such as houses and offices, and for single apartments in buildings if they are apartments such as apartments and apartments. Acquired and stored for each possible environment. In addition, each energy may be input and accumulated by the user for each unit period, or the operator inputs the consumption amount, or the consumption amount collected by the system via the network is automatically input. May be. The unit of consumption is not limited as long as the amount can be specified. For example, kWh (kilowatt hour) may be used for electricity consumption. Moreover, you may convert into another unit by inputting these public charges as consumption.

  The unit period may be an appropriate period for energy measurement. For example, the unit period may be a monthly unit such as one month or two months, and more specifically, the unit period may be one day or one week. good. In the present embodiment, each month such as January, February, March, etc. is adopted as the unit period (hereinafter, the unit period is referred to as “month”).

The application decomposing unit 216 decomposes the total amount of electric power and the total amount of kerosene used in each month into consumption for each application. The application decomposition unit 216 includes a power application decomposition unit 300 and a kerosene application decomposition unit 400. The configuration and operation of the application disassembling unit 216 will be described later. In this embodiment, four uses, “kitchen use”, “hot water supply use”, “lighting appliance use”, and “heating / cooling use”, are prepared as the uses. Is broken down into these four applications. The relationship between each application and actual usage is defined as follows. The heating / cooling application can be further decomposed into a heating application and a cooling application.
Kitchen applications: Stove equipment used mainly for cooking, such as IH stoves and electric heater stoves Hot water supply applications: Bathroom water heaters, kitchen water heaters, washroom water heaters, etc. Lighting appliances: TVs, videos, personal computers, washing machines , Vacuum cleaner, microwave oven, electronic rice cooker, refrigerator, ventilation fan, lighting equipment, etc. Heating application: electric stove, air conditioner (heating), kotatsu, electric carpet, kerosene stove, etc. Cooling application: air conditioner (cooling), electric fan, etc.

  The accumulating unit 218 accumulates the consumption amount decomposed for each application by the application decomposing unit 216 for each application that overlaps a plurality of energies. For example, in the case of a building type that uses both heating by electricity and heating by kerosene, heating overlaps with the use of each energy, so the energy consumption for heating is (energy consumption of heating by electricity (Eh)) + (Energy consumption (Kh) of heating by kerosene). In order to integrate, it is necessary to arrange the units of consumption. However, the application disassembling unit 216 may output the units to the integrating unit 218 in a unified manner, or the integrating unit 218 converts (converts) the unit. You may accumulate from.

  The output unit 220 outputs the result of integration by the integration unit 218 to the screen, printer, web page, etc. of the client computer 104 via the display unit 130 or the network 102. Also, the result of integration may be recorded and accumulated by outputting it to a recording medium.

  Although the feed water temperature acquisition means 222 will be described later, the feed water temperature or temperature before being heated or cooled by any energy is acquired. These temperatures may be actually measured by installing a sensor or the like on site, or the temperature of the area may be obtained from data published by the Japan Meteorological Agency. Moreover, the feed water temperature acquisition means 222 may obtain the feed water temperature by converting from the air temperature. As shown in FIG. 2, since a high correlation is recognized between the air temperature and the water temperature, the water supply temperature can be obtained extremely appropriately. In this case, the water supply temperature acquisition means 222 may acquire temperature data announced by the Japan Meteorological Agency via the network 102 such as the Internet.

  In the application disassembling apparatus according to the present embodiment, the user inputs the consumption amount of each energy for one year before the present on the input screen illustrated in FIG. To accumulate. At this time, the energy consumption amount of the current month (the current month in which the calculation is performed and is also referred to as the latest month below) is configured to be input separately on the input screen illustrated in FIG. 3B. Also good. Then, the application decomposing unit 216 calculates each energy and decomposes the total amount for each application, the integrating unit 218 integrates for each application, and the output unit 220 displays the result on the display unit 130 or the like.

  FIG. 4 is a diagram illustrating an example of a screen display of result output, which is output to the display unit 130 and presented to the user. FIG. 4A shows a bar graph accumulated for each month (here, in units of months) for each use. FIG. 4B shows a bar graph in which energy for each application is accumulated throughout the year and energy consumption for each application is accumulated. Further, as shown in FIG. 4C, by displaying the data of the previous year and the data of this year at the same time and displaying them in comparison, it is possible to expect an effect of motivating the user to save energy. Furthermore, as shown in FIG. 4 (d), expecting the effect of motivating users to save energy by evaluating the user's propensity to consume by ranking in comparison with others. Can do.

  In addition to or in place of the result of integration by the integration unit 218, consumption by use (value before integration) for each energy may be output from the output unit 220. In FIG.4 (c), the kind of energy use can be selected, and consumption can be displayed according to the selected energy use. It is important to understand comprehensively, but knowing more detailed propensity to consume is also meaningful for improving life.

  As explained above, by disassembling each month for each use, and by accumulating the consumption of each energy for each use that overlaps multiple energy, homes, offices, living spaces, etc. that use multiple energy It is possible to calculate and present comprehensively the consumption situation for each use of a plurality of energy sources. As a result, the user can comprehensively grasp his or her own propensity to consume, which can be used as an energy saving activity.

[Application decomposition unit 216]
Next, the application disassembling unit 216 will be described. As described above, the application decomposition unit 216 includes the power application decomposition unit 300 and the kerosene application decomposition unit 400 (FIG. 1).

(Power application decomposition unit 300)
FIG. 5 is a diagram illustrating the configuration of the power application decomposing unit 300, and FIGS. 6 and 7 are flowcharts illustrating the operation of the power use decomposing unit 300.

  The power usage decomposing unit 300 includes a table defining unit 310 that defines the ratio of each month for each usage, and the total amount of power stored in the consumption storage unit 210 for each month based on the table defining unit 310. And an estimation unit 320 that decomposes the total amount of power into each application. The table prescribing unit 310 creates a standard data creation unit 311 that creates a basis for calculation of standard kitchen use, hot water supply use, and lighting home appliance use for each month based on statistics or data based on monitoring, and based on the base data. A three-use disassembly table prescribing unit 312 that forms a three-use disassembly table that defines the ratio of each month's kitchen use, hot-water supply use, and lighting home appliance, and a reference month, and for each month's hot-water supply use for the reference month And a ratio table defining unit 313 that defines a ratio table that defines the ratio.

  The standard data creation unit 311 calculates a standard amount of electricity used for the kitchen by monitoring a plurality of residences in advance.

  In addition, the standard data creation unit 311 prepares a representative usage ratio (hot water illumination lighting household appliance ratio) between the hot water supply use and the lighting home appliance use based on the statistics, and stores it in the hot water supply lighting home appliance ratio table as shown in FIG. Keep it. The ratio of the hot water supply lighting appliances is a ratio of the energy of the comprehensive hot water supply use and the use of the lighting home appliances in a predetermined energy consumption environment. In the present embodiment, the ratio of hot water supply lighting appliances is determined based on “Energy Matrix for Household Use (Kanto) 2005” of “Environmental Energy Statistics Annual Report” by the Living Environment Planning Laboratory. Specifically, in this embodiment, the power consumption in a fully electrified environment is decomposed for each application, and therefore, the electric usage of the “lighting / home appliance / other” of the matrix is “ In addition to prescribing as “lighting appliance use”, the hot water supply use by gas is converted to electricity hot water use using equipment efficiency, thereby determining the annual ratio of hot water use and lighting home appliance use.

  In addition, the hot water supply lighting household appliance ratio can also be updated every year. In addition to the configuration determined based on the “Household Energy Statistics Annual Report”, it is also possible to derive based on the “resource / energy statistics” statistics of the Agency for Natural Resources and Energy. Furthermore, the ratio of hot water supply lighting appliances is not only determined based on the statistical values disclosed by public institutions as described above, but is obtained by monitoring (sampling) the actual all-electrical environment, for example, multiple residences. Also good.

  Similarly, in the standard data creation unit 311, an average daily hot water use power amount (average hot water use power amount) defined based on statistical values (for example, statistical values disclosed by public institutions) is calculated. prepare. In the present embodiment, the average amount of electric power used for hot water supply is defined based on the hot water supply load L mode of the “Energy Conservation Handbook” of the Building Environment and Energy Conservation Organization. Specifically, since the statistical value according to the energy saving handbook is the hot water supply load for each time zone in the day, the average daily hot water use electric energy is derived by integrating this, and the average of this day The hot water usage for each month is derived by accumulating the amount of hot water usage for the number of days in each month. The average amount of electricity used for hot water supply is not only determined based on the statistical values disclosed by public institutions as described above, but is also obtained by monitoring (sampling) the actual entire electrified environment, for example, multiple residences. May be.

  The amount of electric power for kitchen use, the ratio of hot water supply lighting appliances and the average amount of electric power for daily hot water supply use are information prepared in advance by public data and monitoring as described above. Hereinafter, a process for forming a three-use disassembly table using these prepared information will be described. In the following description, the power consumption that is considered to be normally consumed in the kitchen application based on statistical data or the like in the building that is the analysis target of the application decomposition apparatus 100 is referred to as “standard kitchen application consumption”. , “Ek [STD]”. Similarly, the power consumption that is considered to be consumed as a standard in hot water supply applications is referred to as “standard hot water use application consumption” and is represented by “Es [STD]”. Similarly, power consumption that is considered to be normally consumed in lighting household appliances is referred to as “standard lighting household appliance consumption” and is represented by “Ea [STD]”.

  The three-use disassembly table defining unit 312 includes a standard consumption derivation unit 314 and a rate conversion unit 315. As illustrated in FIG. 9, the standard consumption amount deriving unit 314 derives the standard kitchen use consumption, the standard hot water supply use consumption, and the standard lighting home appliance use consumption for each month as an example of the standard table 314a. The ratio conversion unit 315 converts the standard kitchen usage consumption, standard hot water supply usage consumption, and standard lighting household appliance usage consumption for each month derived by the standard consumption derivation unit 314 into percentages, and is exemplified in FIG. Thus, the three-use disassembly table 315a is completed.

  The standard consumption amount deriving unit 314 is a kitchen process for deriving a standard kitchen use consumption Ek [STD] for each month, a hot water supply process for deriving a standard hot water supply use consumption Es [STD], and a standard lighting home appliance use consumption Ea. Lighting home appliance process to derive [STD].

  In the kitchen process, the kitchen power amount calculated by the standard data creation unit 311 is set as the standard kitchen usage consumption Ek [STD] for each month. Therefore, the standard kitchen usage consumption Ek [STD] for each month is the same value. In the kitchen process, the calculated results for each month are stored in the standard table 314a (FIG. 9).

In the hot water supply process, based on the average daily hot water supply electric energy, a standard hot water use application consumption Es [STD], which is a standard hot water supply electric power for each month, is calculated. For example, it may be derived by multiplying the average daily hot water supply power amount by the number of days in each month, but in this embodiment, the water temperature and the device efficiency are further considered. Specifically, the average water temperature of the water supply for the month is acquired with reference to the water supply temperature acquisition means 222. As described above, the water supply temperature acquisition unit 222 can derive the water temperature from the air temperature announced by the Japan Meteorological Agency. According to statistics, the daily required hot water amount is Wt, the number of days constituting the unit period is D, the hot water temperature is Th, the hot water temperature is Tw, and the equipment efficiency is Co. Is calculated using the following equation (1).
Standard hot water usage consumption Es [STD] = (Th-Tw) x Wt x D / Co (1)

  In the formula (1), even if the amount of hot water is the same, more power is used if the water supply temperature is lower. Further, when the device efficiency Co is high, the ratio is lowered.

  In this way, in the hot water supply process, when calculating the standard hot water use usage Es [STD] for each month based on the statistical value, the process takes into account the water supply temperature of each month, so the number of days in the month is the same. Even so, the power consumption in the cold season increases and the power consumption in the warm season decreases. Thereby, the statistical gas amount for hot water supply according to the actual situation can be calculated with extremely high validity from the daily required hot water amount based on statistics. Moreover, a more appropriate result can be obtained by calculating taking into account the equipment efficiency of the power equipment installed in a house or the like.

  In the hot water supply process, the calculated results for each month are stored in the standard table 314a (FIG. 9).

Next, along with the lighting home appliance process, the standard lighting home appliance usage consumption Ea [STD] defined based on the statistics is calculated. Specifically, using the following formula (2), in the lighting home appliance process, first of all, the standard hot water supply usage consumption for each month Es [STD] calculated by the hot water supply process is totaled, and the total annual standard hot water supply usage consumption Calculate the amount. And by multiplying the annual total standard hot water supply usage by K = yRa / yRs for hot water lighting appliances, and dividing by the number N of unit periods for one year, the standard lighting appliance consumption for the unit period Ea [STD] Ask for. In the present embodiment, since the unit period is the number of months, N = 12 is adopted. Then, the calculated result of each month is stored in the standard table 314a (FIG. 9) with the standard lighting home appliance usage consumption Ea [STD] common to each month.
Standard lighting household appliance consumption Ea [STD] = ΣEs [STD] x K / N (2)
In addition, said hot-water supply lighting household appliance ratio K = yRa / yRs is computable based on the above-mentioned hot-water supply lighting household appliance ratio table (FIG. 8).

  As shown in FIG. 9, the standard kitchen usage, standard hot water usage, and standard lighting home appliance consumption for each month are determined by the arithmetic processing in each of the kitchen process, hot water supply process, and lighting home appliance process. The standard table 314a is completed (S11). Thereafter, the ratio conversion unit 315 converts these into ratios (percentages) for each month, thereby completing the three-use decomposition table 315a as illustrated in FIG. 10 (S12).

  The table defining unit 310 includes a ratio table defining unit 313 that defines the ratio table 316a as illustrated in FIG. 11 based on the standard table 314a calculated by the three-use decomposition table defining unit 312. . The ratio table 316a indicates the ratio of the standard hot water supply usage for each month in the standard table 314a, and the standard hot water usage usage for a reference month (in the case of FIG. 11, the reference month is June) described later. Standard consumption for hot water supply for each month when set to 1. The ratio table prescribing unit 313 performs a reference month selection process for determining a reference month, and a ratio calculation process for calculating a ratio of the standard hot water supply usage for each month based on the reference month.

  In the reference month selection step, one month belonging to a non-air-conditioning period in which heating and cooling are not used is specified as a reference month (reference period). Here, the non-air-conditioning period is a period in which home appliances that contribute to heating and cooling such as air conditioning, kotatsu, electric carpets, and fans are not used. The non-air-conditioning period can be appropriately set depending on the region, and can be set in advance in the system. For example, in the Kanto region, June can be set as the reference month. Moreover, it is preferable that the reference month is any month in an intermediate period that is a period between the summer period and the winter period. Then, not only June but May of the previous month, or October or November, which is autumn in season, can be the reference month. Therefore, in the reference month selection process, the consumption amount storage unit 210 is accessed, and the total power amount of months that can be candidates for the reference month is compared, and the smallest month is set as the reference month ( Certification means). The intermediate period can be appropriately determined in advance in consideration of the local climate, as in the non-heating period.

  After the reference month is certified in the reference month selection process, the process proceeds to the ratio calculation process. In the ratio calculation step, the ratio of the standard hot water supply usage consumption Es [STD] of other months to the standard hot water usage usage Es [STD] of the other month is calculated with reference to the standard table 314a. To do. Thereby, the ratio table 316a illustrated in FIG. 11 is completed (S13).

(Approximate power consumption for each application)
Next, the estimation of power consumption for each application by the estimation unit 320 will be described. The estimation unit 320 uses the three-purpose decomposition table 315a and the ratio table 316a and the actual power consumption (total power amount) of each month stored in the consumption amount storage unit 210 to determine the total power amount for kitchen use. Computation that decomposes into consumption, consumption for hot water supply, consumption for lighting household appliances, and consumption for heating and cooling, and includes first approximation means 321, second approximation means 322, and determination means 323 and third approximate means 324.

  In the following description, the total power amount of m months (m = 1, 2,..., 12) stored in the storage unit 210 is represented by E [m]. For example, the total power in March is represented as E [3], and the total power in October is represented as E [10]. In addition, the consumption for kitchen use, consumption for hot water supply, and consumption for lighting appliances estimated and approximated by the calculation of the estimation unit 320 are Ek [m], Es [m], and Ea [m], respectively. Represent. Of these estimated consumptions, the values estimated in the first estimation process described below are expressed as Ek1 [m], Es1 [m], Ea1 [m], and the second estimation described later. The values estimated by the processing are represented by Ek2 [m], Es2 [m], and Ea2 [m]. Also, the heating usage and cooling usage in m months estimated and approximated by the calculation of the estimation unit 320 are represented by Eh [m] and Ec [m], respectively. Further, the kitchen usage rate, the hot water supply usage rate, and the lighting home appliance usage rate in m month specified in the three-use decomposition table 315a are represented by Rk [m], Rs [m], and Ra [m], respectively. Further, the ratio of m month specified in the ratio table 316a is represented by t [m].

  Further, in the following description, when a specific calculation example is shown, based on the standard table 314a shown in FIG. 9, the three-purpose decomposition table 315a shown in FIG. 10, and the ratio table 316a shown in FIG. It is assumed that the calculation is performed and the first approximate result table of FIG. 12 and the use decomposition result table of FIG. 13 are obtained. The first approximate result table is an intermediate calculation result obtained by the first approximate process described later based on the tables 314a, 315a, and 316a, and the use decomposition result table is based on the tables 314a, 315a, and 316a. It is the result of the final electric power use decomposition | disassembly obtained by this.

(First estimation process)
The first approximating means 321 estimates the hot water supply usage of each unit period based on the ratio of the ratio table 316a, and uses the kitchen usage consumption and lighting of each unit period based on the ratio of the reference period of the three-use decomposition table 315a. Approximate consumption for consumer electronics. Specifically, first, the total power amount of each month of the previous year is extracted from the consumption amount storage unit 210 (S14), and the three-purpose decomposition table 315a is added to the total power amount E [6] of the reference month (June). Is multiplied by the hot water usage ratio Rs [6] for the base month, to estimate the hot water usage Es1 [6] for the base month. Then, as shown in the following equation (3), by multiplying the approximate value of the hot water consumption consumption Es1 [6] for the reference month by the ratio t [m] of the ratio table 316a, the monthly hot water consumption consumption Es1 [ m] is estimated.
Hot water usage consumption Es1 [m] = Es1 [6] · t [m] ... Formula (3)

  Thus, by using the ratio table 316a defined in advance, the amount of electric power for hot water supply for each month can be easily obtained.

Moreover, in the 1st rough calculation means 321, as shown to the following formula | equation (4), (5), the kitchen use ratio Rk [6 of the reference | standard month of the three-use decomposition | disassembly table 315a to the total electric energy E [6] of the reference | standard month. ] To calculate the kitchen usage consumption Ek1 [6] of the reference month, and apply the kitchen usage consumption Ek [6] of the reference month to each month to estimate the kitchen usage of each month.
Kitchen use consumption Ek1 [6] = E [6] ・ Rk [6] ... Formula (4)
Kitchen use consumption Ek1 [m] = Ek1 [6]; provided that m = 1 to 5 or 7 to 12 (5)

In addition, as shown in the following formulas (6) and (7), the base month is calculated by multiplying the total power E [6] of the base month by the lighting appliance usage ratio Ra [6] of the base month of the three-use decomposition table 315a. The lighting home appliance usage consumption Ea1 [6] is calculated, and the lighting home appliance usage of the reference month is applied to each month to roughly estimate the lighting home appliance usage for each month (S15).
Lighting appliance use consumption Ea1 [6] = E [6] ・ Ra [6] ... Formula (6)
Lighting appliance usage consumption Ea1 [m] = Ea1 [6]; where m = 1 to 5 or 7 to 12 (7)

  It is considered that the consumption for kitchen use and the consumption for lighting home appliances are substantially constant over the year. This is because the so-called IH stove in the kitchen, lighting in other rooms, television, and the like are considered to have no seasonal factors that have a large effect on the overall calculation. Further, since the difference between the water temperature and the cooking temperature is large, it is considered that the influence of the water supply temperature can be ignored in the kitchen.

  By the above first estimation process, Ek1 [1] to Ek1 [12], Ea1 [1] to Ea1 [12], Es1 [1] to Es1 [12] are obtained, and the first estimation result table shown in FIG. Is created.

(Second approximate processing)
Further, as shown in the following formulas (8), (9), (10), the second estimating means 322 calculates the total electric energy E [m] of each unit period in the unit period in the three-use decomposition table 315a. Of water consumption (Rs [m] for hot water use, Rk [m] for kitchen use, and Ra [m] for lighting appliances), so that consumption of hot water use Es2 [m] and consumption of kitchen use Ek2 [ m] and lighting appliance usage consumption Ea2 [m] are estimated for each usage. That is, in the second estimation means 322, it is assumed that the heating / cooling application is not included in the total electric energy E [m] (that is, Eh [m] = 0, Ec [m] = 0). Thus, the total electric energy E [m] is decomposed only for three uses other than the heating / cooling use, which are a kitchen use, a hot water supply use, and a lighting home appliance use (S16).
Kitchen usage Ek2 [m] = E [m] · Rk [m]; where m = 1 to 12 (8)
Hot water consumption consumption Es2 [m] = E [m] · Rs [m]; where m = 1 to 12 (9)
Lighting appliance use consumption Ea2 [m] = E [m] · Ra [m]; where m = 1 to 12 (10)

(Judgment process)
In addition, for each month of each unit period, the determining unit 323 calculates the total Ek1 [m] + Es1 of the total electric energy E [m] for each month and the estimated values for each usage of the unit period by the first estimating unit 321. When [m] + Ea1 [m] is compared and the total power E [m] is larger, the result of the estimation by the first estimation means 321 Ek1 [m], Es1 [m], Ea1 [m] is adopted as a result of power application decomposition. On the other hand, when the total value Ek1 [m] + Es1 [m] + Ea1 [m] of the first approximating means 321 is larger, the approximate result Ek2 [m], Es2 [m] by the second approximating means 322 ], Ea2 [m] are employed as a result of the power use decomposition (S17).

  That is, the estimation of each use by the first estimating means 321 is to calculate each use of each month independently on the basis of the total power amount of the reference month. In addition to being able to estimate in a lump, it is possible to reflect the consumption trend of the target household because each application is estimated based on the amount of total power consumption of the estimated target household. However, for example, when there is an actual usage situation that is different from usual, such as a long-term absence of a user in a certain month, the total of the estimated values by the first approximating means 321 in that month is the total power E [m] for that month. There is a risk that it will become larger than the actual situation.

  Alternatively, it is assumed that heating / cooling is used except for the interim period, but if there is a situation where the heating / cooling is not used by chance during a period other than the interim period, the total energy is significantly smaller than expected. As a result, it is conceivable that the sum of the approximate values by the first approximating means 321 exceeds the total amount of electric power, which may lead to a result that is far from the substance. On the other hand, the second approximating means 322 is a preliminary approximating means that compensates for the deficiencies of the first approximating means 321 as described above, and only decomposes the total amount of electric power into three applications. Is equal to the total power.

  Accordingly, the determination means 323 compares the total power amount with the total of the first approximate values, and when the total power amount is larger, each approximate value of the first approximate means 321 is adopted (S18). In the case where the first approximate value is larger, each approximate value by the second approximate means 322 is adopted (S19). That is, when there is a month when the amount of electricity used is extremely small, it is assumed that no electricity is used for heating and cooling, and all electricity is used for lighting, home appliances and the like. Thereby, it is possible to prevent the calculated result from exceeding the actually measured value and obtain a more appropriate result.

  For example, referring to FIG. 12, in September, the total electric energy E [9] = 720 kWh (about 2592 MJ), whereas Ek1 [9] + Es1 [9] + Ea1 [9] = 2645MJ. ing. That is, since Ek1 [9] + Es1 [9] + Ea1 [9]> E [9], as shown in FIG. 13, the consumption for kitchen use in September, the consumption for hot water supply, and the use for lighting appliances As for the consumption, Ek2 [9] = 106.7MJ, Es2 [9] = 476.1MJ, and Ea2 [9] = 2009.3MJ obtained in the second approximate processing are adopted as the results of the power use decomposition. On the other hand, for months other than September, since Ek1 [m] + Es1 [m] + Ea1 [m] <E [m], Ek1 [m] and Es1 [m ], Ea1 [m] is adopted as a result of power use decomposition.

(Third approximate processing)
In the third approximating means 324, when the approximate value of the first approximating means 321 is adopted by the judging means 323, the remaining amount with respect to the total electric energy is used for heating and cooling applications as shown in the following equations (11) and (12). It is said that it was used. In addition, the heating / cooling use consumption is derived in this way, and the heating / cooling use for each month is divided into a cooling use consumption Ec [m] and a heating use consumption Eh [m] according to the season. In this embodiment, the heating / cooling application from July to September is the cooling application, and the heating / cooling application from October to May is the heating application.
Ec [m] = E [m]-(Ek1 [m] + Es1 [m] + Ea1 [m]), Eh [m] = 0; provided that m = 7 to 9 Equation (11)
Eh [m] = E [m]-(Ek1 [m] + Es1 [m] + Ea1 [m]), Ec [m] = 0; where m = 1 to 5 or 10 to 12 (12)
As described above, the result of the power use decomposition as shown in the use decomposition result table of FIG. 13 is obtained.

  The power usage decomposing unit 300 outputs the calculated power consumption for each usage to the integrating unit 218.

  According to the above configuration, if the total amount of electricity for each month is recorded throughout the year, the total amount of electricity for each month can be disassembled for use in kitchens, hot water supplies, lighting appliances, and heating. Can do. And, by having two approximate routes by the first approximate means 321 and the second approximate means 322, even if there is a different power consumption month than usual, the usage of energy consumption in line with the actual situation is analyzed. Can do. For example, even if a warm day continues in a unit period (for example, March) in the heating period and the total amount of electric power is extremely low, the influence can be made extremely small.

  The table defining unit 310 includes a table updating unit 330 that updates the three-purpose decomposition table 315a and the ratio table 316a every time the user inputs the total power amount of the latest month to the consumption amount storage unit 210.

  The standard table 314a, which is the base for defining the three-use decomposition table 315a and the ratio table 316a, shows the standard for each use of the past year including the latest month as described above, but the kitchen use does not consider seasonal variation. Therefore, although the same numerical value is adopted over one year, since the standard value is calculated by taking in the seasonal variation factor called the water supply temperature in the hot water supply application, the same numerical value cannot be adopted over the year. Moreover, in the above, since the lighting household appliance usage is calculated based on the hot water usage, the lighting household appliance usage also changes as long as the hot water usage usage in the latest month changes.

  Accordingly, when the table update unit 330 confirms that the total power amount of the latest month has been input to the consumption storage unit 210, the table update unit 330 includes the latest month as a period of one year set in the table defining unit 310. In addition, the water supply temperature acquisition unit 222 acquires the water supply temperature of the latest month, updates these conditions, and causes the table defining unit 310 to recalculate the standard table 314a (S21). Then, based on the updated standard table 314a, the three-purpose decomposition table 315a and the ratio table 316a are updated (S22, S23). As a result, the usage decomposition of the total amount of power in the latest month is shown in a state in accordance with the actual situation of the latest month, and the decomposition accuracy is improved.

(Kerosene use decomposition unit 400)
Further, in the present embodiment, the use decomposition of each energy in the environment of all electrification is approximated, and as such, the use of kerosene is only used for assisting heating by electric power, and the kerosene is supplied with hot water. It is not expected to be used for. Therefore, in the present embodiment, in the kerosene application decomposition process shown in FIG. 14, the actual amount K of kerosene can be estimated as it is as the heating kerosene amount Kh. Therefore, the kerosene use decomposition unit 400 refers to the consumption amount storage unit 210, and uses the kerosene use amount K input by the user as it is for the heating use of kerosene as shown in the following formula (13) (S31).
Kerosene amount for heating Kh = Kerosene consumption amount K ... Formula (13)

  In this case, it is not necessary to consider the non-heating period or the intermediate period. The kerosene usage decomposition unit 400274 outputs the calculated kerosene amount for each usage to the integrating unit 218.

  Then, the integration unit 218 integrates the outputs of the power application decomposition unit 300 and the kerosene application decomposition unit 400 for each application. From the output unit, the data is output to a display unit and presented to the user.

  Then, the effect by the application decomposition | disassembly apparatus 100 mentioned above, the application decomposition | disassembly program 200 performed with the said apparatus 100, and the application decomposition | disassembly method performed with the said apparatus 100 is demonstrated.

  According to the application disassembling apparatus 100, since the ratio table 316a is provided with the first estimating means 321 that anticipates the seasonal variation of the hot water supply application in advance and approximates the hot water supply application for each unit period based on the ratio table 316a. It is possible to disassemble power consumption with high accuracy in hot water supply applications that have a large annual consumption change range and often reflect the life stage and taste of each household. On the other hand, simply decomposing the power consumption of each unit period based on the ratio table 316a may produce a result that is significantly different from the actual situation when the hot water consumption in the target household is very small compared to the approximate value. .

  Therefore, the application disassembling apparatus 100 includes second approximating means 322 that approximates these uses using a three-use disassembly table 315a that preliminarily defines the ratio of hot water supply use, kitchen use, and lighting home appliance use. Use of a first estimator 321 and a second estimator 322 that are provided with a determination unit 323 that makes a determination by comparing the balance and uses the most suitable approximate value by the determination unit 323, thereby avoiding a deviation from the actual situation. It can be broken down. Therefore, according to the apparatus 100, the program 200, and the application disassembling method, it is possible to decompose and analyze the energy consumption according to the actual situation in a fully electrified environment where hot water is supplied by electric power.

  Further, since the total electric energy E [m] is an actual measurement value, it is determined that the approximate value of the first approximating means 321 that exceeds the actual measurement value is different from the actual situation. On the other hand, since the second approximate means 322 decomposes the total power amount based on the three-use decomposition table 315a, the approximate value by the second approximate means 322 is the total power amount E [m] itself and the total power amount. It must not exceed E [m]. As described above, according to the determination criteria in the determination unit 323 described above, by using the approximate value by the second approximate unit 322 only when the approximate value of the first approximate unit 321 is clearly different from the actual situation, In general, it is possible to flexibly cope with a situation in which consistency cannot be achieved only with the ratio table 316a, such as the absence of a temporary period or a change in power consumption pattern due to a change in living conditions.

  Further, the first estimating means 321 multiplies the electric energy E [m] by the hot water supply usage rate Rs [6] for the reference period defined in the three-use decomposition table 315a, and uses the hot water use consumption Es [6] for the reference period. , And by multiplying the estimated value Es [6] by the ratio t [m] defined in the ratio table 316a, the monthly hot water supply use consumption Es [m] is estimated. Since seasonal variation is expected in the ratio table 316a in advance, by multiplying the approximate value of the hot water usage in the base month by the ratio in the ratio table 316a, the consumption of water supply Es [m] in each month The impact can be factored in.

  Further, the first approximating means 321 estimates the kitchen usage consumption Ek [m] of each month by applying the kitchen usage consumption Ek [6] of the reference month to each month. The base month is a period in which heating and cooling are not used, and it is considered that the seasonal variation factor is not taken into account the most, so for applications that do not have seasonal variation, the ratio of the base month may be adopted as it is for other months. It is considered preferable. In addition, it is known that the kitchen usage is a relatively small amount of use with respect to the overall power consumption. For this reason, even if the value of the reference month is applied to each month for kitchen use, it does not cause a big flaw with the actual situation, and simplification of the calculation can be achieved. It is.

  Moreover, the 1st estimation means 321 estimates the lighting household appliance use consumption Ea [m] of the said month by applying the lighting appliance usage consumption Ea [6] of a reference | standard month to each month. Lighting household appliances have small annual power consumption fluctuations, and as described above, by applying the estimated value of the base month for lighting household appliances to each month, it is possible not only to make a rough estimate in accordance with the actual situation, but also to simplify calculations. Can be achieved.

  Further, the second rough calculation means 322 distributes the total electric energy E [m] for each month to the ratios Rk [m], Rs [m], and Ra [m] of the unit period specified in the three-use decomposition table 315a. By doing so, each usage consumption Ek [m], Es [m], Ea [m] is estimated. In the three-use decomposition table 315a, the ratio of each use is defined by three relative relationships of the hot water supply use, kitchen use, and home appliance lighting use in each month, and the total amount of electric power is calculated based on the proportion. In order to break down into kitchen use and home appliance lighting use, even if the total amount of electricity temporarily decreases due to the absence of a temporary period, at least the total amount of electricity E [m] is decomposed into these three uses. It is possible to cope with changes in the power consumption pattern due to changes in living conditions.

  Moreover, the 3rd rough calculation means 324 subtracted the sum total of Ek [m], Es [m], and Ea [m] employ | adopted by the determination result of the determination means 323 from the total electric energy E [m] of each month. A thing is roughly estimated as cooling consumption Ec [m] or heating consumption Eh [m]. This makes it possible to estimate heating and cooling applications with the largest fluctuations in annual power consumption after properly determining kitchen applications and lighting appliances with little seasonal variation and hot water supply applications that require some seasonal variation. The heating / cooling application can also be appropriately estimated.

  Further, the reference month selection unit 316 recognizes the month having the smallest total electric energy E [m] as the reference month when there are a plurality of reference month candidates among the months. As a result, the month from which the seasonal variation factors of heating / cooling are eliminated as much as possible becomes the reference month, and three uses other than the heating / cooling application can be estimated more appropriately.

  In addition, the application decomposition unit 216 can acquire the temperature of the water supply supplied to the building in each month, and the three-use decomposition table 315a based on the water supply temperature acquired by the supply water temperature acquisition unit 222. The hot water usage ratio Rs [m] is calculated. The power consumption in hot water use is mainly consumed by heating tap water. The power consumption varies depending on the set temperature and the amount of hot water supply, but the power consumption depends on the water temperature of the tap water. Will be different. According to the above configuration, the temperature of the water supply (supply water temperature) is acquired by the supply water temperature acquisition means 222, and each application is calculated by the three-use decomposition table 315a using the supply water temperature. That is, by adding the water supply temperature as a factor for determining the ratio of hot water supply use to the approximate hot water supply use, the accuracy of the ratio for each unit period of the hot water use in the three-use decomposition table 315a can be further improved, and eventually the kitchen use and lighting It is possible to optimize the ratio of household appliances.

  Moreover, the water supply temperature acquisition means 222 estimates the water supply temperature based on the temperature of the area where the building exists. Thereby, simplification of the said water supply temperature calculation can be aimed at by estimating the water supply temperature which is difficult to measure in each approximate environment from air temperature.

  In addition, the application decomposing unit 216 adds the new month data and removes the oldest month data in addition to removing the oldest month data according to the input of the new month total electric energy. Table updating means 330 is provided for updating the ratios of the table 315a and the ratio table 316a. As described above, when decomposing the usage of each month, there are those that include seasonal fluctuation factors and those that do not include seasonal fluctuation factors. A three-use disassembly table 315a and a ratio table 316a for a period of one year including the reference month are required. According to the above configuration, when the total power amount of the latest month is decomposed for use, the three-use decomposition table 315a and the ratio table 316a are updated in the latest one-year period including the month. Actual conditions such as the latest water supply temperature of the month can be reflected in the construction of each table, and each table can be created appropriately.

  Furthermore, the use disassembling apparatus 100 includes a display unit 130 that displays only the result of the use disassembly of the total power amount in the latest month among the months. As described above, the table for the past year including the month can be updated, so that the usage decomposition for the past year can be reconstructed. However, what users want to confirm most is the usage in the latest month. It is the result of decomposition. Therefore, by providing the display unit 130 described above, it is possible to confirm the result of use decomposition in the latest month that the user wants to confirm most. Alternatively, the visibility of the user can be improved by hiding the result of the application decomposition for each month over the past year that is not necessary for the user to be displayed.

  As mentioned above, although preferred embodiment of this invention was described referring an accompanying drawing, it cannot be overemphasized that this invention is not limited to the example which concerns. It will be apparent to those skilled in the art that various changes and modifications can be made within the scope of the claims, and these are naturally within the technical scope of the present invention. Understood.

DESCRIPTION OF SYMBOLS 100 ... Usage decomposition | disassembly apparatus, 130 ... Display part (display means), 210 ... Memory | storage part, 222 ... Supply water temperature acquisition means (calculation means), 300 ... Power decomposition part, 315a ... Three-use decomposition | disassembly table, 316 ... Reference | standard month selection means (Authorizing means), 316a ... ratio table, 321 ... first approximating means, 322 ... second approximating means, 323 ... judging means, 324 ... third approximating means, 330 ... table updating means.

Claims (14)

One year is divided into a plurality of unit periods, and for each unit period, the total amount of electricity supplied to the so-called fully electrified environment is excluded from hot water use, kitchen use, and heating / cooling use among household appliances. A power application decomposing device that can be decomposed into each of the power consumption of each use of lighting appliances and heating and cooling applications,
A three-use disassembly table that defines the ratio of the hot water supply use, the kitchen use, and the lighting home appliance use in each unit period;
A ratio table that prescribes the ratio of the hot water usage in the remaining unit period to the ratio of the hot water usage in the reference period, with one unit period belonging to the intermediate period not using heating and cooling as the reference period;
A storage unit for storing the total amount of power actually used in the environment for one year for each unit period;
A power decomposing unit that decomposes the use of the total power amount of each unit period stored in the storage unit,
The power decomposition unit
Approximating the hot water usage for each unit period based on the ratio specified in the ratio table, and using the kitchen application and the lighting appliance application for each unit period based on the ratio of the reference period specified in the three-use decomposition table A first estimating means for estimating;
Based on a ratio defined in the three-use disassembly table, a second approximating means for approximating a hot water supply use, a kitchen use, and a lighting home appliance use from the total power amount of each unit period stored in the storage unit;
A determination means for determining which of the first rough calculation means and the second rough calculation means should be adopted;
Based on the result of the determining means, a third approximating means for approximating the heating and cooling use of each unit period;
An application disassembling apparatus comprising: The determination means includes
Comparing the total power amount of each unit period stored in the storage unit and the sum of the estimated values of each application of the unit period by the first estimating means,
When the total amount of electric power is larger, use the result of estimation by the first estimation means,
2. The application disassembling apparatus according to claim 1, wherein when the sum of the approximate values obtained by the first approximating means is larger, an approximate result obtained by the second approximating means is adopted. The first estimating means includes
The total amount of electric power is multiplied by the ratio of hot water supply usage in the reference period specified in the three-use decomposition table to approximate the hot water supply use in the reference period, and the approximate value of the hot water use in the reference period is specified in the ratio table. The use decomposition apparatus according to claim 1 or 2, wherein a hot water supply use for each unit period is estimated by multiplying by a ratio. The first estimating means includes
The use disassembling apparatus according to any one of claims 1 to 3, wherein the kitchen use of each unit period is estimated by applying the kitchen use of the reference period to each unit period. The first estimating means includes
The use disassembling apparatus according to any one of claims 1 to 4, wherein the application of lighting home appliances in the reference period is applied to each unit period to roughly estimate the use of lighting home appliances in each unit period. The second estimating means includes
6. Each use is roughly estimated by distributing the total electric energy of the said unit period to the ratio of the said unit period prescribed | regulated to the said three use decomposition | disassembly table, The Claim 1 thru | or 5 characterized by the above-mentioned. Application disassembly equipment. The third estimating means includes
The hot water supply application adopted by the result of the determination by the determination means from the total power amount of the unit period, the kitchen application, and the total of the lighting home appliance application are estimated as a cooling application or a heating application. The use disassembling apparatus according to any one of claims 1 to 6. The power decomposition unit
2. The apparatus according to claim 1, further comprising an authenticating unit that certifies a unit period that is the smallest total power amount as a reference period when there are a plurality of candidates for the reference period among the unit periods. Item 8. The application disassembling apparatus according to any one of Items 7. The power decomposition unit
Water supply temperature acquisition means capable of acquiring the temperature of the water supply supplied to the environment in each unit period;
A calculation means for calculating a hot water supply usage ratio of the three-use decomposition table based on a water supply temperature acquired by the water supply temperature acquisition means;
The use disassembling apparatus according to any one of claims 1 to 8, further comprising: The water supply temperature acquisition means includes
The use disassembling apparatus according to claim 9, wherein the water supply temperature is estimated based on an air temperature in a region where the environment exists. The power decomposition unit
Along with the input of the total electric energy of a new unit period, the oldest unit period is excluded, the new unit period is added, and the ratios of the three-use decomposition table and ratio table are updated with the oldest unit period being excluded. The use disassembling apparatus according to claim 9 or 10, further comprising table updating means.   The use disassembling apparatus according to any one of claims 1 to 11, further comprising display means for displaying only a result of use disassembly of the total electric energy in the latest unit period among the unit periods. . One year is divided into a plurality of unit periods, and for each unit period, the total amount of electricity supplied to the so-called fully electrified environment is excluded from hot water use, kitchen use, and heating / cooling use among household appliances. Power application decomposition method that decomposes the use into each of the power consumption of each use of lighting appliances and heating and cooling applications,
A three-use disassembly table that defines the ratio of the hot water supply use, the kitchen use, and the lighting home appliance use in each unit period, and one unit period belonging to an intermediate period that does not use heating and cooling as a reference period, the reference period A table for preparing a ratio table that defines a ratio of the hot water usage for the remaining unit period to the ratio of the hot water usage of
A storage step of storing the total amount of power actually used in the environment in the storage unit for one year for each unit period; and
A power decomposing step of decomposing the use of the total power amount of each unit period stored in the storing step by calculation of a power decomposing unit,
The power decomposition step includes
Approximating the hot water usage for each unit period based on the ratio specified in the ratio table, and using the kitchen application and the lighting appliance application for each unit period based on the ratio of the reference period specified in the three-use decomposition table A first estimation step to estimate;
A second estimating step for estimating a hot water supply use, a kitchen use, and a lighting home appliance use from the total power amount of each unit period stored in the storage step based on the ratio defined in the three-use decomposition table;
A determination step of determining which of the first roughening step and the second roughening step is to be adopted;
Based on the result of the determination step, a third estimation step for estimating the heating / cooling use of each unit period;
A use disassembling method characterized by comprising: One year is divided into a plurality of unit periods, and for each unit period, the total amount of electricity supplied to the so-called fully electrified environment is excluded from hot water use, kitchen use, and heating / cooling use among household appliances. A use disassembly program that causes a computer to execute power use disassembly processing for disassembling the use of power consumption for each use of lighting appliances and heating / cooling applications,
On the computer,
A three-use disassembly table that defines the ratio of the hot water supply use, the kitchen use, and the lighting home appliance use in each unit period, and one unit period belonging to an intermediate period that does not use heating and cooling as a reference period, the reference period A ratio table that defines the ratio of the hot water usage for the remaining unit period to the ratio of the hot water usage of
A storage process for storing the total power actually used in the environment for one year for each unit period;
Power decomposition processing that decomposes the use of the total power amount of each unit period stored in the storage processing,
The power decomposition process is
Approximating the hot water usage for each unit period based on the ratio specified in the ratio table, and using the kitchen application and the lighting appliance application for each unit period based on the ratio of the reference period specified in the three-use decomposition table A first estimation process to estimate;
Based on a ratio defined in the three-use decomposition table, a second approximate process for estimating a hot water supply use, a kitchen use, and a lighting home appliance use from the total power amount of each unit period stored in the storage process;
A determination process for determining which of the first roughening process and the second roughening process is to be adopted;
Based on the result of the determination process, a third estimation process for estimating the heating / cooling application for each unit period;
An application disassembling program characterized by comprising:

Images