JP2017016206A - Energy consumption use decomposition device and energy saving support device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an energy consumption use decomposition device capable of accurately decomposing whole body of energy consumptions of a household according to an actual state of the household for each use, and an energy saving support device using the same.SOLUTION: A use decomposition part selects a model household whose whole energy consumption is the most approximate to an object energy consumption, then changes and applies to each of the energy consumptions for each use of the selected model household so that a totalling result approximates to the object energy consumption, thereby decomposing the object energy consumption for each use.SELECTED DRAWING: Figure 4

Description

  The present invention relates to an energy consumption use decomposing apparatus for decomposing energy consumption in a household according to use, and an energy saving support apparatus using the energy consumption use decomposing apparatus.

  In recent years, with the spread of smart meters, it has become possible to record the amount of energy (especially electric power) consumed in each household every predetermined time (for example, every 30 minutes or every hour). However, since the smart meter only records the amount of energy consumed by the entire household, it cannot be grasped for each energy consuming application (which can also be interpreted as “equipment”, hereinafter the same).

  Grasping household energy consumption by application can be used in a variety of situations, including energy conservation support, equipment operation control, and demand forecasting. Therefore, development of an energy consumption use decomposing apparatus that can grasp the energy consumption in each household by use is expected.

  For example, in Patent Document 1, in a household with all electrification, a three-use disassembly table that defines the ratio of hot water use, kitchen use, and lighting home appliance use, and the ratio of hot water use use in periods when heating and cooling are not used and when they are used A use disassembling apparatus for disassembling energy consumption according to use based on a ratio table that defines a ratio has been proposed.

JP 2011-108173 A

  However, in the application decomposition apparatus proposed in Patent Document 1, simple decomposition based on the prescribed ratios of the three-use decomposition table and the ratio table is performed, so that it may be an inaccurate decomposition that ignores the actual situation of the household. Is a problem.

  Therefore, the present invention uses an energy consumption application decomposing apparatus capable of accurately decomposing the total energy consumption of a household according to use according to the actual situation of the household, and the energy consumption application decomposing apparatus. It is an object to provide an energy saving support device.

  To achieve the above object, the present invention provides a database for recording actual data indicating energy consumption of a target household and model data indicating energy consumption in each of a plurality of model households with different set conditions, A usage decomposition unit that decomposes the energy consumption in the target household by usage by comparing the energy consumption indicated by each of the actual data and the model data, and the actual data includes the target household The target energy consumption that is the energy consumption consumed as a whole is shown, and the model data is the total energy consumption that is the respective energy consumption consumed by the entire model household, By use that is energy consumption by use, which is a component of the total energy consumption The energy consumption amount, and the use decomposing unit refers to the model data and selects the model household that is the overall energy consumption amount that is closest to the target energy consumption amount. The target energy consumption is decomposed by use by varying and applying each of the energy consumption by use of the selected model household so that the combined result approaches the target energy consumption. An energy consumption application decomposition device is provided.

  According to this energy consumption usage decomposing apparatus, the model household whose actual condition approximates the target household is used as a reference, and the energy consumption by use of the model household is adjusted (fluctuated) to match the actual condition of the target household. As a result, the target energy consumption is broken down by application.

  Furthermore, in the energy consumption use decomposing apparatus having the above characteristics, the use decomposing unit is within a range between an upper limit and a lower limit set for each of the energy consumption by use of the selected model household. It is preferable that the target energy consumption is decomposed for each application by changing the energy consumption for each application.

  According to this energy consumption application decomposing apparatus, it is possible to adjust (vari) the energy consumption for each application within a practically possible range and to decompose the target energy consumption for each application.

  Further, the present invention provides an advice for determining advice to be notified to the target household based on the result of disassembling the target energy consumption by the above-mentioned energy consumption use decomposition apparatus and the use decomposition unit according to use. A decision unit, wherein the database records advice candidate data indicating advice candidates that are advice corresponding to each use corresponding to each of the use-specific energy consumption of the model household indicated by the model data. The advice determination unit determines a use as a target of advice to be notified to the target household based on a result of disassembling the target energy consumption by the use decomposition unit according to use, and the advice The advice corresponding to the determined use is selected from the advice candidates indicated by the candidate data. By selecting the advice candidates, providing an energy saving support device and determines an advice to be reported to the target households.

  According to this energy saving support device, as an advice to be notified to the target household, an advice candidate corresponding to a use corresponding to a result of disassembling the target energy consumption for each use is selected. Therefore, it is possible to notify the target household of effective advice based on the result of disassembling the target energy consumption by use.

  Furthermore, in the energy saving support device having the above characteristics, the advice determining unit uses the energy consumption according to the application changed so that the application decomposition unit increases when the target energy consumption is decomposed according to the application. Is preferably determined as a target of advice to be notified to the target household.

  According to this energy saving support device, it is possible to notify the target household of advice corresponding to an application that has a larger energy consumption than the model household and has sufficient room for reducing the energy consumption.

  Further, in the energy saving support device having the above characteristics, the advice candidates indicated by the advice candidate data include a plurality of advice candidates that correspond to a common application and each of a plurality of different conditions. The advice determining unit determines the use corresponding to the plurality of advice candidates as a use targeted for advice to be notified to the target household, from among the plurality of advice candidates. It is preferable that the advice to be notified to the target household is determined by selecting the advice candidate corresponding to the condition changed by the department to increase the energy consumption by use.

  According to this energy saving support device, it becomes possible to notify the target household of advice corresponding to a condition that can be expected to reduce energy consumption by suppressing the deviation from the model household.

  According to the energy consumption use decomposing apparatus having the above characteristics, the model household whose actual condition approximates the target household is used as a reference, and the energy consumption by use of the model household is adjusted (fluctuated) to match the actual condition of the target household. ), The target energy consumption is broken down by application. Therefore, according to the energy consumption usage decomposing apparatus, it is possible to accurately decompose the target energy consumption according to the usage according to the actual condition of the target household.

The block diagram shown about the structural example of the energy saving assistance apparatus which concerns on embodiment of this invention. The schematic diagram which shows model data notionally. The schematic diagram which shows model data notionally. The schematic diagram shown about the operation example which a use decomposition | disassembly part decomposes | disassembles object electric power consumption according to a use. The schematic diagram shown about the upper limit and lower limit of the fluctuation | variation range in the power consumption according to a use. The figure shown about an example of advice candidate data. The figure shown about another example of advice candidate data.

  Hereinafter, an energy saving support device according to an embodiment of the present invention will be described with reference to the drawings. Note that the energy saving support device according to the embodiment of the present invention is not limited to electric power, but can also target consumption (energy consumption) such as gas and water, but is mainly implemented for power consumption. It is assumed that Therefore, for the sake of concrete explanation, an energy saving support device that decomposes power consumption according to application and supports energy saving based on the result of the decomposition is illustrated as an energy saving support device according to the embodiment of the present invention. .

<Configuration example of energy saving support device>
Initially, the structural example of the energy saving assistance apparatus which concerns on embodiment of this invention is demonstrated with reference to drawings. FIG. 1 is a block diagram illustrating a configuration example of an energy saving support device according to an embodiment of the present invention.

  As shown in FIG. 1, the energy saving support device 1 according to the embodiment of the present invention includes a performance data acquisition unit 10, a database 11, a use decomposition unit 12, an advice determination unit 13, and an advice output unit 14. Prepare.

  The performance data acquisition unit 10 is configured by, for example, a smart meter that measures and acquires power consumption consumed in a household every predetermined time (for example, every 30 minutes or every hour). Note that the performance data acquisition unit 10 does not necessarily have a function of measuring the power consumption. For example, the record data acquisition unit 10 is configured by a communication device for connecting to a network such as the Internet, and acquires record data by receiving record data transmitted from the outside (for example, a power company). May be.

  The performance data is data indicating the power consumption every predetermined time (for example, every 30 minutes or every hour) in the target household (the household to which the energy saving support device 1 is applied, the same applies hereinafter). In particular, the performance data indicates the target power consumption (corresponding to “target energy consumption”) that is the power consumption consumed by the entire target household.

  The database 11 is composed of a recording device capable of recording data, such as a hard disk or a semiconductor memory, and records various data necessary for calculation in the energy saving support device 1. Specifically, the database 11 is stored at predetermined time intervals in a plurality of model households (real or virtual typical households, the same applies hereinafter) that differ from the actual data acquired by the actual data acquisition unit 10 and the set conditions. Model data indicating power consumption (for example, every 30 minutes or every hour) and advice candidate data indicating advice candidates that are candidates for advice to be notified to the target household are recorded. The details of the model data and the advice candidate data will be described together with an operation example of the energy saving support device 1 described later.

  The database 11 records and accumulates the record data acquired by the record data acquisition unit 10 as needed. The database 11 records model data and advice candidate data in advance. The database 11 can update the model data and advice candidate data by recording the latest version of model data and advice candidate data distributed from, for example, the manufacturer (manufacturer) of the energy saving support apparatus 1.

  The application decomposing unit 12 includes an arithmetic device such as a CPU (Central Processing Unit) and a storage device such as a semiconductor memory, and operates when the arithmetic device executes a predetermined program. The application decomposing unit 12 decomposes the target power consumption indicated by the actual data for each application based on the actual data and model data read from the database 11.

  The advice determination unit 13 is configured by an arithmetic device such as a CPU and a storage device such as a semiconductor memory. The advice determination unit 13 performs an operation when the arithmetic device executes a predetermined program. Consists of a device and a storage device. The advice determination unit 13 determines advice to be notified to the target household based on the application decomposition data output by the application decomposition unit 12 and indicating the result of decomposition of the target power consumption by the application decomposition unit 12 for each application. Specifically, the advice determination unit 13 selects, from the advice candidates indicated by the advice candidate data read from the database 11, the one suitable for the result obtained by dividing the target power consumption indicated by the application decomposition data for each application. Determine the advice to be notified to the target household.

  The advice output unit 14 includes a display device such as a liquid crystal monitor and a sound output device such as a speaker. The advice output unit 14 obtains advice data indicating the advice determined by the advice determination unit 13 and output by the advice determination unit 13, and outputs the advice to the target household. Inform.

<Operation example of energy saving support device>
Next, an operation example of the energy saving support device 1 according to the embodiment of the present invention will be described with reference to the drawings. In the following, for convenience of explanation, the operation example of the application decomposing unit 12 and the operation example of the advice determining unit 13 will be described separately.

[Operation example of application disassembly unit]
Before describing an operation example of the application decomposing unit 12, model data recorded in the database 11 will be specifically described. 2 and 3 are schematic diagrams conceptually showing model data. 2 shows the entire model data recorded in the database 11, and FIG. 3 shows a part of the model data shown in FIG. 2 (part relating to a specific model household X). is there.

  As shown in FIG. 2, the model data recorded in the database 11 indicates power consumption in each of a plurality of model households 1 to N (N ≧ 2) with different set conditions. In particular, as shown in FIG. 2, the model data indicates the total power consumption (corresponding to “total energy consumption”) that is the power consumption of each model household. FIG. 2 illustrates the case where the overall power consumption indicated by the model data is the hourly power consumption for 24 hours from 0:00 to 24:00.

  As shown in FIG. 3, the model data includes not only the total power consumption shown in FIG. 2 but also the power consumption by use 1 to M (M ≧ 1) in the model household X (1 ≦ X ≦ N). It also indicates the power consumption by use (corresponding to “energy consumption by use”), which is a quantity. In addition, each usage-specific power consumption of usages 1 to M corresponds to each component constituting the total power consumption, and when all the usage-specific power consumption is added, the total power consumption is obtained. In addition, FIG. 3 illustrates a case where the power consumption by use indicated by the model data is the power consumption per hour in 24 hours from 0:00 to 24:00.

  The model households 1 to N include, for example, a family structure (for example, the number of persons, a relationship, etc.), a family age, a residence form (for example, a detached house, a set, etc.), a site area, and a heat insulating property (for example, specifications of walls and windows, Room layout, etc.), behavior pattern (eg, wake-up time, bedtime, attendance time, bathing time, cooking time, etc.), type of equipment (eg, air conditioner, refrigerator, washing machine, lighting equipment), number of equipment , Device usage (eg, set temperature, output size, etc.), device usage frequency (eg, use time, use probability, etc.), device power conversion efficiency (eg, consumed power and work obtained) The ratio of power consumption and other conditions are different.

  For example, model households 1 to N can selectively extract typical households by taking into account the results of fact-finding surveys on the above conditions for a large number of households and survey results at predetermined institutions such as the national census. It can be constructed by averaging several households with similar conditions. Then, for each of a plurality of model households 1 to N having different set conditions, a simulation of power consumption based on the conditions is performed to express temporal fluctuations in power consumption (that is, as a function of time). Calculate the power consumption by use and the total power consumption. However, at this time, all of the above conditions are not necessarily used for calculating the power consumption amount for each application. Specifically, for example, heat insulation, which is one of the conditions, is used for calculation of power consumption by use of air conditioning equipment, but may not be used for calculation of power consumption by use of lighting equipment. .

  Moreover, the power consumption amount by use does not necessarily represent the power consumption amount in one specific device. For example, the power consumption by use of lighting equipment may be calculated for each room or floor, not for each fluorescent light or for each light bulb, or for all households It may be calculated by adding together the lighting devices. In addition, for example, a small amount of power consumption such as standby power may be calculated as usage-specific power consumption in each application, but calculated as usage-specific power consumption in “other” usage provided separately. Also good.

When generalized, the power consumption by use and the total power consumption can be expressed as the following formula (1). In Formula _{(1), f1 (a 1_1} , a 1_2, ..., a 1_k1, t) ~fn (a n_1, a n_2, ..., a n_kn, t) be a purpose-specific power consumption Each , F (t) is the total power consumption. _{Further, a 1_1, a 1_2, ...} , a 1_k1 ~a n_1, a n_2, ..., a n_kn is above condition is a parameter of the application-specific power consumption, t is the time.

_{F (t) = f1 (a} 1_1, a 1_2, ..., a 1_k1, t) + f2 (a 2_1, a 2_2, ..., a 2_k2, t) + ... + fn (a n_1, a n_2, ..., a n_kn, t)
... (1)

A known model is applied to the power consumption f1 (a _{1 — 1} , a _{1 — 2} ,..., A 1 — _k1 , t) to fn (a _{n — 1} , a _{n — 2} ,..., A _{n — kn} , t) in the above formula (1). can do. Specifically, for example, the electronic journal “Journal of the Society of Energy and Resources”, Vol. 30, no. 3, pp. It is possible to apply an energy consumption model according to usage in individual households, which is used to estimate the state of energy consumption in the entire region, as proposed in 1-9.

Moreover, the power consumption according to use and the total power consumption in a specific model household X can be expressed as the following formula (2). In the following formula (2), f1 _X (t) to fn _X (t) are power consumptions by use of the model household X, and F _X (t) is the total power consumption of the model household X. T is time. Incidentally, by application power consumption model household _{X f1 X (t) ~fn X} (t) , the parameter _a 1_1 of the formula _{(1), a 1_2, ...} , a 1_k1 ~a n_1, a n_2, ..., It is obtained by applying the conditions set for the model household X to _{an_kn} .

F _X (t) = f 1 _X (t) + f 2 _X (t) +... + Fn _X (t) (2)

  Next, an example of an operation performed by the application decomposition unit 12 to decompose the target power consumption indicated by the actual data using the model data described above for each application will be described. FIG. 4 is a schematic diagram illustrating an operation example in which the application decomposition unit decomposes the target power consumption for each application. FIG. 4A is a schematic diagram illustrating an example of the target power consumption indicated by the record data. FIG. 4B is a schematic diagram illustrating an example of the total power consumption and usage-specific power consumption of a specific model household indicated by the model data. FIG. 4C is a schematic diagram illustrating an example of a result of decomposing the target power consumption for each use (that is, a result indicated by the use decomposition data). Further, in FIG. 4, the target power consumption indicated by the actual data, the total power consumption indicated by the model data, and the power consumption by application are each hourly power consumption for 24 hours from 0:00 to 24:00. The case of quantity is illustrated. Moreover, in FIG. 4, the case where the power consumption according to a use is four types corresponding to the uses 1-4 is illustrated.

  The application decomposing unit 12 refers to the model data recorded in the database 11 and selects a model household that has an overall power consumption that is closest to the target power consumption indicated by the actual data. For example, the application decomposing unit 12 compares a pattern matching score for comparing temporal variation patterns in both the target power consumption and the total power consumption, and the sizes of the target power consumption and the total power consumption (for example, The degree of approximation between the target power consumption and the total power consumption is evaluated based on the difference between the maximum value, the minimum value, the total value, the average value, and the like in a predetermined time range.

  In the example shown in FIG. 4, FIG. 4B shows the entire model household selected by the application disassembling unit 12 as the overall power consumption being closest to the target power consumption shown in FIG. The power consumption and the power consumption by use are shown.

  Next, the application decomposing unit 12 decomposes the target power consumption for each application by configuring the target power consumption shown in FIG. 4A with the application-specific power consumption shown in FIG. 4B. Specifically, the application decomposing unit 12 configures the target power consumption by the application-specific power consumption by changing and applying the application-specific power consumption so that the summed result approaches the target power consumption. Thereby, since the target power consumption is represented by the power consumption by use, the target power consumption is broken down by use.

  In the example illustrated in FIG. 4, FIG. 4C illustrates that the application disassembling unit 12 decomposes the target power consumption illustrated in FIG. 4A for each application using the power consumption for each application illustrated in FIG. Shows the results.

  As described above, in the energy saving support device 1 according to the embodiment of the present invention, the model household whose actual condition approximates the target household is used as a reference, and the power consumption by use of the model household is adjusted so as to match the actual condition of the target household. By adjusting (changing) the amount, the target power consumption is broken down by application. Therefore, in the energy saving support device 1 according to the embodiment of the present invention, it is possible to accurately decompose the target power consumption according to the usage according to the actual condition of the target household.

  In addition, when the use decomposition | disassembly part 12 fluctuates the electric power consumption according to use, the upper limit and lower limit of a fluctuation range may be set. This case will be described with reference to FIG. FIG. 5 is a schematic diagram showing an upper limit and a lower limit of a variation range in the power consumption by use. In addition, in FIG. 5, it has shown about the fluctuation | variation range of the electric power consumption according to use of the uses 1-M shown in FIG.

As shown in FIG. 5, “upper limit” and “lower limit” of the fluctuation range are set in the power consumption by usage of usages 1 to M. The “upper limit” and “lower limit” are the parameters related to the use corresponding to the power consumption by use in the parameters of the power consumption by use in the above formula (1) (especially the usage method and the conversion efficiency) These are upper and lower limits that can be taken when a parameter corresponding to only the application is changed. Further, “standard” shown in FIG. 5 is a case where the parameter is not changed, and each of the power consumptions f1 _X (t) to fn _X (t) for each usage of the model household X in the above equation (2). Equivalent to.

  Here, the “upper limit” and “lower limit” of the fluctuation range shown in FIG. 5 may be calculated each time the usage decomposition unit 12 tries to change the power consumption by usage, or may be calculated in advance and used as a model. It may be recorded in the database 11 as part of the data.

  As described above, when the usage decomposition unit 12 varies the power consumption by usage within the set upper and lower limits, the power consumption by usage is adjusted (varied) within a practically possible range. The target power consumption can be broken down by application.

[Operation example of advice determination unit]
Next, an operation example of the advice determination unit 13 will be described with reference to the drawings. FIG. 6 is a diagram illustrating an example of advice candidate data.

  As shown in FIG. 6, the advice candidate data includes a plurality of advice candidates corresponding to each of a plurality of uses. First, the advice determination unit 13 uses the application decomposition data output by the application decomposition unit 12 (data indicating the result of disassembling the target power consumption for each application, see FIG. 4C) as the target of the advice. To decide.

  And the advice determination part 13 determines the advice candidate corresponding to the determined use as advice which should be notified to an object household with reference to advice candidate data. Specifically, for example, in the example illustrated in FIG. 6, when the advice determination unit 13 determines the usage to be advised as “air conditioning equipment (cooling)”, the advice candidate data sets the usage “air conditioning equipment (cooling)” in the advice candidate data. The corresponding advice candidate “Let's raise the cooling temperature” is determined as an advice to be notified to the target household.

  At this time, the advice deciding unit 13 sets the usage corresponding to the power consumption for each usage changed so as to increase when the usage decomposing unit 12 decomposes the target power consumption for each usage as the usage targeted for advice. decide. This is because such an application is an application that consumes more electric power than a model household, and thus can be said to have sufficient room for reducing the electric power consumption.

For example, the result of disassembling the target power consumption for each use can be expressed using the power consumption for each use and the coefficient used for the disassembly. Specifically, the result of decomposing the target power consumption for each use by using the power consumption f1 _X (t) to fn _X (t) for each model household X shown in the above formula (2) is expressed by the following formula ( It can be expressed as 3). In the following formula (3), G (t) is the target power consumption, and α1 to αn are coefficients corresponding to the usage-specific power consumptions f1 _X (t) to fn _X (t), respectively.

G (t) = α1 × f1 _X (t) + α2 × f2 _X (t) +... + Αn × fn _X (t)
... (3)

  The application decomposing unit 12 calculates the coefficients α1 to αn of the above equation (3) when decomposing the target power consumption for each application, and outputs it as a part of the application decomposition data. Further, the advice determination unit 13 refers to the application decomposition data, and determines an application corresponding to an application-specific power consumption multiplied by a coefficient larger than 1 as an application to be advised. In addition, the advice determination unit 13 determines the usage corresponding to the power consumption by usage multiplied by the maximum (or higher predetermined number) coefficient exceeding 1 (or a predetermined threshold greater than 1). It may be determined as a use.

  As described above, the advice determination unit 13 selects an advice candidate corresponding to a use corresponding to a result of disassembling the target power consumption for each use as advice to be notified to the target household. Therefore, effective advice based on the result of disassembling the target power consumption for each application can be notified to the target household.

  In particular, the advice determination unit 13 determines the usage corresponding to the power consumption by usage increased when the usage decomposition unit 12 decomposes the target power consumption by usage as the usage to be advised. Therefore, it is possible to notify the target household of advice corresponding to an application that consumes more power than the model household and has sufficient room for reducing the power consumption.

  In addition, even if the advice determination part 13 is 1 or less, the use corresponding to the electric power consumption according to use multiplied by the maximum (or upper predetermined number) coefficient may be determined as the use targeted for advice. Good.

  In the above operation example, the application decomposition unit 12 calculates the coefficients α1 to αn in the above formula (3), but the advice determination unit 13 replaces the application decomposition unit 12 with the application decomposition data (further necessary. The coefficients α1 to αn in the above equation (3) may be calculated based on model data if any.

  Moreover, although FIG. 6 illustrates the case where one advice candidate is set for one application, a plurality of advice candidates may be set for one application. In this case, if there are a plurality of advice candidates for the use targeted for advice, the advice determination unit 13 randomly selects one (or a plurality) of advice candidates and notifies the target household. It may be determined as advice, or may be determined as advice to be notified to the target household by selecting all advice candidates.

<Deformation, etc.>
[1] In the above [Example of operation of the advice determination unit], the operation example in which the advice determination unit 13 determines a use to be advised to the target household and selects an advice candidate corresponding to the use has been described. (See FIG. 6) In addition to the use, an advice candidate corresponding to a condition may be selected. An operation example of the advice determination unit 13 in this case will be described with reference to the drawings. FIG. 7 is a diagram illustrating another example of advice candidate data.

  The advice candidate data shown in FIG. 7 has at least one condition for each use, and includes a plurality of advice candidates corresponding to each of the conditions. First, the advice determining unit 13 uses the power consumption for each application changed so as to increase when the application power disassembling unit 12 disassembles the target power consumption for each application, as in [Example of operation of the advice determining unit] described above. The usage corresponding to is determined as the usage subject to advice. However, in this example, the advice determination unit 13 also determines a condition to be an advice target.

  Here, the condition is a parameter of power consumption by use in the above formula (1). As described above, when decomposing the target power consumption for each application, the application decomposing unit 12 varies the power consumption parameter for each application to vary the power consumption for each application. Therefore, in this example, the advice determination unit 13 determines the condition (parameter) of usage-specific power consumption changed by the usage decomposition unit 12 as a condition to be advised. This is because such conditions deviate from the conditions in the model household, and it is possible to expect a reduction in power consumption by suppressing the deviation.

  The application decomposing unit 12 outputs, as part of the application decomposition data, information indicating conditions (parameters) of application-specific power consumption that are varied when the target power consumption is decomposed by application. The advice determination unit 13 refers to the application decomposition data, determines an application corresponding to the increased power consumption for each application as a target for advice, and changes to obtain the power consumption for each application. The determined condition (parameter) is determined as a condition to be advised.

  And the advice determination part 13 determines the advice candidate corresponding to the determined use and conditions as advice which should be alert | reported to an object household with reference to advice candidate data. Specifically, for example, in the example illustrated in FIG. 7, the advice determination unit 13 determines the use of the advice as “air conditioning equipment (cooling)” and sets the condition as the advice as “conversion efficiency”. Once the decision is made, the target candidate is notified of the advice candidate “recommended replacement for cooling” corresponding to the application “air conditioning equipment (cooling)” and the relevant condition (parameter) “conversion efficiency” in the advice candidate data. Decide as advice you should.

  As described above, in the present modification, the advice determination unit 13 changes the condition (parameter) changed in order to increase the power consumption by use when the use decomposition unit 12 decomposes the target power consumption by use. It is determined as a condition for advice. Therefore, it becomes possible to notify the target household of advice corresponding to a condition that can reduce power consumption by suppressing the deviation from the model household.

  Note that the advice deciding unit 13 has the largest divergence (or multiple) among the one (or a plurality of) individual power consumptions increased when the usage decomposition unit 12 decomposes the target power consumption by usage. , A predetermined upper number) may be determined as a condition to be advised. However, in order to compare multiple types of conditions using a common index called divergence, for example, table data that defines the relationship between the magnitude of variation and the divergence in each condition is required. .

  Further, in the above example, the application decomposition unit 12 includes information indicating the condition (parameter) of application-specific power consumption that is changed when the target power consumption is decomposed by application in the application decomposition data. However, instead of this, the advice determination unit 13 analyzes the application decomposition data (and, if necessary, model data) and determines the power consumption by application that has changed when the target power consumption is decomposed by application. Conditions (parameters) may be calculated.

[2] When creating the power consumption by use and the total power consumption of the model households 1 to N illustrated in FIGS. 2 and 3 and the above formulas (1) and (2), the season (for example, summer, winter) , Summer and winter season), natural conditions such as weather, rainy weather, cloudy weather, temperature, humidity, wind power, and social conditions such as days of the week and holidays May be included. In this case, the above-mentioned conditions regarding households (in other words, conditions representing characteristics of households that may vary from household to household) are the same or similar, but the total power consumption and the power consumption by application are different. Model households can be built.

  In this case, for example, the energy saving support device 1 includes a data acquisition unit that acquires data related to natural conditions and social conditions from the outside and records the data in the database 11, or data related to social conditions (for example, day of the week or holiday) For example, the application decomposing unit 12 is configured to recognize natural conditions and social conditions at the time of measurement of the target power consumption.

  Then, the usage decomposition unit 12 selects a model household that is the overall power consumption closest to the target power consumption from among the model households that match or approximate the natural condition and social conditions at the time of measurement of the target power consumption. select. In this case, the model data may have a data structure in which model households are grouped in units of groups having the same or approximate natural conditions and social conditions.

  In this way, by constructing model households that include natural and social conditions, the target power consumption is broken down by application, taking into account differences in power consumption according to natural and social conditions. At the same time, it is possible to notify the target household of advice.

  The usage decomposition unit 12 adjusts the power consumption by usage and the total power consumption of each model household indicated by the model data so as to match the natural conditions and social conditions at the time of measurement of the target power consumption. (For example, the natural condition and social condition at the time of measurement of the target power consumption are applied to the natural condition and social condition, which are parameters in the above formula (1).) Based on the consumption amount and the total power consumption amount, the target power consumption amount may be decomposed according to use by the same method as described above (see FIG. 4).

[3] In FIG. 2, FIG. 3 and FIG. 5, the target power consumption that is the target to be disassembled for each use, the total power consumption required for the disassembly and the power consumption for each use are both from midnight. The case where the power consumption is 24 hours until the time is illustrated, but both may be shorter (for example, 12 hours or 6 hours) or longer (for example, 48 hours or 168 hours). ).

[4] The energy saving support apparatus 1 according to the embodiment of the present invention described above may operate every day or may operate every week or month.

  Further, the application decomposing unit 12 and the advice determining unit 13 do not necessarily have to operate simultaneously or at the same frequency. Specifically, for example, the application decomposing unit 12 generates the application decomposition data by decomposing the target power consumption, which is the power consumption for 24 hours acquired the previous day or several days ago, by use at a predetermined time every day. However, the advice determination unit 13 may determine the advice by collectively referring to the application decomposition data for a plurality of days (for example, one week or one month) generated by the application decomposition unit 12. In this case, the application decomposition data that the application decomposition unit 12 generates every day is recorded in the database 11 or the like as necessary.

  For example, in this case, the advice determination unit 13 refers to the application decomposition data for a plurality of days, and the total number of days and the amount of change that the application decomposition unit 12 has increased so as to increase (or the upper predetermined number) is maximum. The usage corresponding to the usage-specific power consumption may be determined as the usage to be advised. Further, among the conditions (parameters) changed by the application decomposing unit 12 in the power consumption amount by use, the advice determining unit 13 has the maximum (or higher rank) of the changed days and fluctuation amount (deviation degree). A predetermined number) may be determined as the condition to be advised.

  INDUSTRIAL APPLICABILITY The present invention can be used for an energy consumption application decomposing apparatus that decomposes energy consumption in a household according to use, and an energy saving support apparatus using the energy consumption application decomposing apparatus. Is preferably used for an energy consumption application decomposing apparatus for decomposing according to applications or an energy saving support apparatus using the energy consumption application decomposing apparatus.

1: Energy saving support device 10: Result data acquisition unit 11: Database 12: Use decomposition unit 13: Advice determination unit 14: Advice output unit

Claims (5)

A database that records actual data indicating energy consumption of the target household and model data indicating energy consumption in each of a plurality of model households with different set conditions;
By comparing the energy consumption indicated by each of the actual data and the model data, a use decomposition unit that decomposes the energy consumption in the target household by use,
The performance data indicates a target energy consumption amount that is an energy consumption amount consumed by the entire target household,
The model data includes the total energy consumption that is the energy consumption of each model household and the energy consumption by use that is a component that constitutes the total energy consumption. Energy consumption, and
The application disassembly unit is
With reference to the model data, selecting the model household that is the overall energy consumption that most closely approximates the target energy consumption,
The target energy consumption is decomposed according to use by varying and applying each of the use-specific energy consumption of the selected model household so that the summed result approaches the target energy consumption. Decomposing equipment for energy consumption.   The usage decomposition unit varies the energy consumption by usage within a range between an upper limit and a lower limit set for each of the energy consumption by usage of the selected model household, and The energy consumption application decomposing apparatus according to claim 1, wherein the energy consumption is decomposed by application. The energy consumption use decomposing apparatus according to claim 1 or 2,
An advice determination unit that determines advice to be notified to the target household based on the result of disassembling the target energy consumption by the use decomposition unit,
The database records advice candidate data indicating advice candidates that are advice corresponding to each use corresponding to each of the energy consumption by use of the model household indicated by the model data;
The advice determination unit
Based on the results of disassembling the target energy consumption by the use decomposing unit for each use, determine the use as a target of advice to be notified to the target household,
By selecting the advice candidate corresponding to the determined use from the advice candidates indicated by the advice candidate data, the advice to be notified to the target household is determined. .   The advice determination unit notifies the target household of a usage corresponding to the usage-specific energy consumption that has been varied so that the usage decomposition unit increases the target energy consumption for each usage. The energy-saving support device according to claim 3, wherein the energy-saving support device is determined as a use for which advice should be given. The advice candidates indicated by the advice candidate data include a plurality of the advice candidates corresponding to each of a plurality of different conditions corresponding to a common use,
When determining the use corresponding to the plurality of advice candidates as the use of the advice to be notified to the target household, the advice determination unit, among the plurality of advice candidates, 5. The advice to be notified to the target household is determined by selecting the advice candidate corresponding to the condition changed in order to increase the energy consumption by use. Energy-saving support device described in 1.