JP5622698B2 - Target power setting system, target power setting method and program - Google Patents

Description

  The present invention relates to a target power setting system, a target power setting method, and a program.

With recent global warming and the development of economic industries that are progressing on a global scale, efforts aimed at reducing CO ₂ emissions or reducing energy consumption are regarded as important. Against this background, various systems and methods for suppressing power consumption have been disclosed (see, for example, Patent Documents 1 to 3).

  The energy-saving enlightenment system disclosed in Patent Document 1 displays the amount of power used, the predicted power amount, and the target power amount consumed by the electrical load in each of the plurality of organizational bodies, thereby comparing the displayed energy levels to members of the organizational units. To raise awareness of energy conservation.

  The environmental control system disclosed in Patent Literature 2 apportions the total amount of power allowed in the entire system according to the degree of the desired rate of environmental change in each of the plurality of target spaces. More specifically, a relatively large amount of power is apportioned in a target space where the degree of request for environmental change is high, and a relatively small amount of power is allocated in a target space where the degree of request for environmental change is low. Apportioned. Thereby, as a whole, it is possible to save energy while suppressing consumption of electric power and maintaining comfort.

  The target power control system disclosed in Patent Document 3 distributes the difference between the predicted supply power and the target supply power evenly to a plurality of groups, for example, and reduces the target power of each group by the allocated difference. To do.

  Recently, laws have been enacted that require businesses to reduce their power at a fixed rate relative to the amount of electricity used last year. For example, according to Article 27 of the Electricity Business Law, the value of the maximum electric power used in a specific period of the last fiscal year (1) for each contract unit (1) The value obtained by reducing 15% of the time unit) is obliged to be the maximum value of power used, that is, the value of target power. According to this law, necessary corrective measures are taken when the value of the maximum power used in a specific time period last year is unknown or when the contracted power increases or decreases.

  This law also applies to buildings that contain multiple tenants. However, for this type of building, the building manager, not each tenant, contracts with the power company, and the manager, that is, the entire building is often the contract unit. In such a case, the person who is obliged to reduce the power consumption is the building manager, but the tenant who occupies the building actually uses the power. Therefore, the building manager reduces or reduces the power consumption of the entire building by requesting or requiring each tenant to keep the power usage within the target value.

JP 2007-280003 A JP 2009-204188 A Japanese Patent No. 4032903

  By the way, if the tenant has already moved in at the same time last year and the measurement data of last year's power consumption is stored, the target for reducing the power consumption can be set based on the last year's measurement data. it can. On the other hand, it is difficult for tenants who have just moved in and have not used power and have not measured the power used last year to set a reduction target for power consumption.

  However, if the tenant who has just moved in has a reduction target for power consumption and does not present a reduction target for power consumption for the tenant who has just moved in, there will be unfairness in the handling of each tenant. End up.

  The present invention has been made in view of the above circumstances, and can be used to set a reduction target for power consumption fairly with other residents even for residents who have not used power in the past. An object is to provide a power setting system, a target power setting method, and a program.

  In order to achieve the above object, a target power setting system according to the present invention is a target power setting system that sets a target value of power used by each of a plurality of residents occupying a building. A 1st memory | storage part memorize | stores the information regarding the work actual condition of each of several residents. A measurement part measures the value of the electric power used in a building about each of a plurality of areas of a building. The second storage unit stores the value of power used measured by the measurement unit in association with the area. The third storage unit stores correspondences between a plurality of residents and a plurality of areas.

The model generation unit is stored in the third storage unit, the information on the work status of each of the plurality of residents stored in the first storage unit, the value of the power used stored in the second storage unit, and the third storage unit Based on the correspondence relationship , a power consumption model, which is a transition model of power consumption, is generated for each of a plurality of different conditions related to the actual state of work. The fourth storage unit stores information on the power consumption model generated by the model generation unit in association with a plurality of different conditions. The selection unit selects a power consumption model that best meets the condition of the new resident from the power consumption models stored in the fourth storage unit. An estimation part estimates transition of the electric power used in a new resident based on the power consumption model selected by the selection part. The target setting unit sets a target power value of a new resident based on the transition of the power consumption estimated by the estimation unit. The operation execution unit performs a specific operation for reducing the power supplied to the new occupant in accordance with the target power value set by the target setting unit.

  According to the present invention, the power consumption model is generated based on the measured value of the power usage of each resident, the information on the resident's actual work, and the correspondence between the plurality of resident and the plurality of areas. To do. Furthermore, a power consumption model that best meets the conditions of the new resident is selected from the generated power consumption models, and a target value for the new resident is set based on the selected power consumption model. Thereby, the target electric power according to the electric power consumption model based on the electric power consumption state of the past resident is set to the new resident. For this reason, even for a resident who has not used power in the past, a reduction target for power consumption can be set fairly with other residents.

It is a block diagram which shows schematic structure of the target electric power setting system which concerns on Embodiment 1 of this invention. It is a figure which shows an example of the data format of the electric power database of FIG. It is a figure which shows an example of the data format of the operation database of FIG. It is a figure which shows an example of the data format of the tenant database of FIG. It is a figure which shows an example of the data format of the model database of FIG. It is a block diagram which shows the schematic structure of the management apparatus of FIG. It is a flowchart of the production | generation operation | movement of the power consumption model performed with the management apparatus of FIG. It is a flowchart of the setting operation | movement of the target electric power performed with the management apparatus of FIG. It is a figure which shows an example of the data format of the tenant database with which the new tenant was added. It is a flowchart of the correction | amendment operation | movement of the power consumption model performed with the management apparatus of FIG. It is a figure which shows an example of the difference of transition of the electric power used, and the multiplication data of a power consumption model. It is a block diagram which shows the schematic structure of the target electric power setting system which concerns on Embodiment 2 of this invention. It is a block diagram which shows the schematic structure of the management apparatus of FIG. It is a figure which shows an example of the image displayed on the administrator terminal of FIG. It is a figure which shows the other example of the data format of a model database.

  Embodiments of the present invention will be described in detail with reference to the drawings.

Embodiment 1 FIG.
First, a first embodiment of the present invention will be described.

  FIG. 1 shows a schematic configuration of a target power setting system 100 according to the first embodiment. As shown in FIG. 1, the target power setting system 100 is a system that sets a target value of power used by each of a plurality of tenants who move into a building 1 as a building.

  First, the building 1 will be described. The building 1 is divided into a plurality of living spaces (areas). In the first embodiment, it is assumed that four areas A1, A2, A3, and A4 are provided. As will be described later, the areas A1 to A4 are units in which the power consumption is measured by the power measurement collection device 10, and are units in which the demand power can be individually controlled by the demand controller 15.

  This building 1 is a tenant building managed by an administrator and in which a plurality of tenants are occupying. Assume that three tenants T1, T2, and T3 are currently occupying. In addition, it is assumed that tenant T1 is in area A1, tenant T2 is in area A2, and tenant T3 is in area A4.

  A distribution board 2 is installed in the building 1. The distribution board 2 distributes and supplies power supplied from the outside to a plurality of electrical facilities 4 in the building 1. The plurality of electrical facilities 4 are installed in any of the areas A1 to A4. Each electrical facility 4 includes, for example, an air conditioning facility, a lighting facility, and other electrical devices.

  The target power setting system 100 is a system in which a target value (target power) of power used is set for each tenant in a building 1 in which a plurality of tenants T1 to T3 are occupying a plurality of areas A1 to A4.

  The target power setting system 100 includes a power measurement collection device 10, a power database 11, an operation database 12, a tenant database 13, a model database 19, a management device 14, and a demand controller 15.

  The power measurement and collection device 10 is provided in the distribution board 2. The power measuring and collecting apparatus 10 measures the power supplied to each electrical facility 4, that is, the value of the power used in the building 1, for each of the plurality of areas A1 to A4, collects it, and outputs it to the management apparatus 14. In the power measuring and collecting apparatus 10, the power measurement interval, that is, the sampling interval is set to an appropriate interval, for example, once every 5 minutes.

  The power database 11, the operation database 12, the tenant database 13, and the model database 19 are constructed on a computer, for example.

  In the power database 11 as the second storage unit, the measurement data of the used power that is measured and collected for each area by the power measurement and collection device 10 is written via the management device 14. In the power database 11, the measurement data transferred from the management device 14 is stored and accumulated in association with each of the areas A1 to A4. In addition, since tenant is not occupying area A3, since electric power is not used, the measurement data of electric power used are not accumulated in electric power database 11.

  FIG. 2 shows an example of the data format of the power database 11. As shown in FIG. 2, the power database 11 stores area names, dates, and daily power data transitions in association with each other. More specifically, in the power database 11, the transition of power data for one day is stored in order of time for the areas A1 to A4.

  The power database 11 is configured such that if the area name, date, and time zone are input as keys, the value of power used in a specific time zone on a specific day in the area can be read out. Thereby, for example, the management device 14 can also read the value of the power used in the same period and time period last year from the power database 11.

  Returning to FIG. 1, in the operation database 12 as the third storage unit, information on the operation state of the building 1, for example, what electric equipment 4 is installed in which area, and what tenant enters the building 1 Information about whether or not it is being stored is stored.

  FIG. 3 shows an example of the data format of the operation database 12. As shown in FIG. 3, in the operation database 12, each area A1 to A4, the electric equipment 4 installed in the area (in FIG. 3, each electric equipment 4 is set to B1 to B8), and the area The tenant name to move in and the operation data history are stored in association with each other.

  In other words, the operation database 12 stores information related to the correspondence relationship between the plurality of tenants T1 to T3 and the plurality of areas A1 to A4. Thereby, the management apparatus 14 can read the tenant name corresponding to the area, for example, if the area is input to the operation database 12 as a key.

  Further, in the operation data history, a target value set in each area, a demand value of a demand controller 15 to be described later, and the like are stored in association with a date or the like. In addition, since no tenant is occupying the area A3, in the operation database 12, the area A3 is not associated with a tenant name and the operation data history is not stored.

  Returning to FIG. 1, the tenant database 13 as the first storage unit stores information on each of a plurality of tenants T1 to T3. More specifically, the tenant database 13 stores information indicating the business status of each of the plurality of tenants T1 to T3.

  FIG. 4 shows an example of the data format of the tenant database 13. As shown in FIG. 4, the tenant database 13 stores tenant names, areas, business types, number of seated persons, business hours, and effective floor area (rented area borrowed by the tenant) in association with each other. If the tenant name is input to the tenant database 13 as a key, the management device 14 can read the type of business, the number of people present, the business hours, and the effective floor area of the tenant.

  Of the information indicating the actual work of each tenant, the number of people in the seats generally requires more power as the number of people in the room increases. Since the generated electric power is reduced, the number of attended persons can be regarded as an index value related to the actual state of business having a very high correlation with the electric power used by the tenant.

  Returning to FIG. 1, in the model database 19 as the fourth storage unit, information on the power consumption model generated by the management device 14 is stored in association with a plurality of different conditions, as will be described later. In this embodiment, a plurality of different conditions are assumed to be the “business type” of the tenant. That is, this power consumption model is created for each type of industry and stored in the model database 19.

  FIG. 5 shows the data format of the model database 19. As shown in FIG. 5, the model database 19 stores a tenant's business type and model data of a power consumption model in the business type in association with each other. The model data corresponds to the daily transition of electric power used in each industry. This power consumption model shows the power used per unit area.

  Returning to FIG. 1, the management apparatus 14 is a computer. The management device 14 includes a processor and a memory (both not shown). The processor executes the program stored in the memory, thereby realizing the function of the management device 14. The processor is a processor capable of executing a multitask program.

  A power database 11, an operation database 12, a tenant database 13, and a model database 19 are connected to the management device 14. The management device 14 can write and read information to and from the databases 11 to 13 and 19.

  FIG. 6 shows a schematic configuration of the management device 14. As illustrated in FIG. 6, the management device 14 includes a power storage unit 20, a model generation unit 21, a selection unit 22, an estimation unit 23, a target setting unit 24, and a model correction unit 25.

  The power storage unit 20 acquires the power used for each area output from the power measurement collection device 10 periodically (at the sampling interval of the power measurement collection device 10) and stores it in the power database 11.

  The model generation unit 21 relates to the value of power used stored in the power database 11, information on the business status (business type) of each of a plurality of tenants stored in the tenant database 13, and the correspondence relationship stored in the operation database 12. Based on the information, a power consumption model for each of a plurality of different conditions (business types) is generated.

  The selection unit 22 selects, from the power consumption models stored in the model database 19, the power consumption model that best matches the condition (business type) of the new tenant stored in the tenant database 13. Here, the new tenant generally indicates a tenant newly occupying the building 1, but also includes a tenant in which the area in the building 1 is changed. Examples of such tenants include a tenant who moved to a different floor of the building 1 and a tenant whose partition has been changed. In this embodiment, in order to simplify the description, all tenants whose contract form is changed are handled as new tenants.

  Based on the power consumption model selected by the selection unit 22, the estimation unit 23 estimates the transition of power usage in the new tenant.

  The target setting unit 24 sets the target power value of the new tenant based on the transition of the used power estimated by the estimation unit 23. The target setting unit 24 outputs the set target power value to the demand controller 15 and writes the target power value in the operation data history of the operation database 12.

  The model correction unit 25 determines the difference between the transition of the power consumption estimated from the power consumption model stored in the model database 19 and the transition of the power consumption value measured by the power measurement collection device 10 and stored in the power database 11. Based on the above, the power consumption model stored in the model database 19 is corrected.

  Returning to FIG. 1, the demand controller 15 can control each electrical equipment 4. The demand controller 15 can perform so-called demand control that limits the power supplied to each electric facility 4 within the target power. The demand control refers to controlling each electrical equipment 4 so that the peak value of the used power does not exceed the target power.

  A target power value of each tenant T1 to T3 is output from the target setting unit 24 to the demand controller 15. The demand controller 15 inputs the value of the target power of each tenant T1 to T3, and controls each electrical equipment 4 so that the used power of each tenant T1 to T3 does not exceed the target power.

  In other words, the demand controller 15 may be regarded as an operation execution unit that performs a specific operation for reducing the power supplied to the new tenant according to the target power value set by the target setting unit 24. it can.

  Further, in the target power setting system 100, an administrator terminal 18 is provided. The administrator terminal 18 is connected to the management apparatus 14 via the network 16. The manager terminal 18 is a computer managed by the manager of the building 1. The administrator terminal 18 is provided with an input device such as a keyboard and a pointing device, a display device for displaying an image, and the like (all not shown). In the first embodiment, tenant information is input via the input device of the administrator terminal 18.

  The tenant information includes, for example, the type of business, the number of electric devices that are always in operation, the expected number of people in the room, and the like. When a new tenant moves in, the building 1 administrator conducts a preliminary survey (takes a questionnaire survey with the tenant as necessary) about the information on these tenants, and sends the survey results to the administrator terminal 18. input. Thereby, for example, the business type of the tenant to move in, the number of operating electrical devices, and the expected number of people in the room are input to the administrator terminal 18. The input tenant information is sent to the management apparatus 14 via the network 16. The management device 14 registers the received information in the tenant database 13.

  Next, the operation of the target power setting system 100 according to the first embodiment will be described. Here, the operation of the management apparatus 14 will be mainly described.

The operation of the management device 14 can be roughly divided into the following five.
(1) Power consumption measurement operation (2) Database setting operation (3) Power consumption model generation operation (4) Target power setting operation (5) Power consumption model correction operation Hereinafter, these five operations will be described. To do. Each operation is realized by executing a multitask program and does not need to be synchronized with each other.

(Measurement of power consumption)
First, the operation for measuring the power used will be described. In the management device 14, the power storage unit 20 periodically measures the measurement value of the power used for each area using the power measurement collection device 10 (measurement process), and associates the measurement value with the area to the power database. 11 (see FIG. 2) (second storage step).

(Database setting operation)
Next, the database setting operation will be described. The tenant database 13 stores information (see FIG. 3) relating to the business status of each of a plurality of tenants (first storage step). In the operation database 12, correspondences (see FIG. 4) between a plurality of tenants T1 to T3 and a plurality of areas A1 to A4 are registered (third storage step).

(Power consumption model generation operation)
Subsequently, the generation operation of the power consumption model will be described. FIG. 7 shows a flowchart of the power consumption model generation operation executed by the management apparatus 14 (model generation unit 21).

  As shown in FIG. 7, first, the management apparatus 14 waits until the update time of the power consumption model elapses (step S1: No). Although this interval can be set arbitrarily, it can be set to, for example, 24 hours.

  When the update time has elapsed (step S1; Yes), the model generation unit 21 reads the measurement data of the used power from the power database 11 (step S2). Here, the model generation unit 21 reads a sufficient amount of data (for example, measurement data over several days) sufficient to calculate the power consumption model with high accuracy.

  Subsequently, the model generation unit 21 reads correspondence relationships between the plurality of tenants T1 to T3 and the plurality of areas A1 to A4 from the operation database 12 (step S3). Furthermore, the model generation unit 21 uses the tenant T1 to T3 based on the measurement data of the used power read from the power database 11 and the correspondence relationship between the tenants T1 to T3 and the areas A1 to A4 read from the operation database 12. The transition of the power data of the daily power used is acquired (step S4).

  Furthermore, here, the model generation unit 21 calculates an average when a plurality of changes in the daily power usage of the tenants T1 to T3 are obtained.

  The method of calculating the daily power consumption transition of each tenant T1 to T3 is not limited to this. For example, when a plurality of daily power consumption transitions of each tenant T1 to T3 are obtained, one data may be obtained using statistical processing.

  Subsequently, the model generation unit 21 reads the effective floor area and the number of people in each tenant T1 to T3 from the tenant database 13 (step S5). Subsequently, the model generation unit 21 divides the measurement data of the daily power usage of each tenant T1 to T3 by the effective floor area (loan area) and the number of people in the room (step S6). Subsequently, the model generation unit 21 generates a power consumption model for each industry by counting the power consumption models of each tenant obtained by the division for each industry (taking an average) (step S7). This step S7 corresponds to a model generation process. If there is only one tenant for each industry, aggregation is not performed.

  Subsequently, the model generation unit 21 stores the generated power consumption model for each industry in the model database 19 (step S8). This step S8 corresponds to the fourth storage step. The model database 19 shown in FIG. 5 is thus created in this way.

(Target power setting operation)
Next, the target power setting operation will be described. FIG. 8 shows a target power setting process executed by the management device 14 (selection unit 22, estimation unit 23, and target setting unit 24).

  As shown in FIG. 8, the management apparatus 14 waits until a new tenant is registered in the tenant database 13 (step S11; No). Here, as illustrated in FIG. 9, it is assumed that a new tenant T4 is input to the tenant database 13 via the administrator terminal 18. When the new tenant T4 is registered in the tenant database 13 (step S11; Yes), the management device 14 (selection unit 22) reads the business type of the new tenant T4 from the tenant database 13 (step S12). In the example illustrated in FIG. 9, “office” is read as the business type of the tenant T4.

  Subsequently, the management device 14 (selection unit 22) selects a power consumption model that meets the conditions of the new tenant T4 from the power consumption models stored in the model database 19 (step S13). More specifically, the management device 14 (selection unit 22) reads out the power consumption model corresponding to the business type of the new tenant T4 from the model database 19. For example, as shown in FIG. 9, “office” is read for the new tenant T4. This step S13 corresponds to a selection process.

  Subsequently, the management device 14 (estimating unit 23) reads the effective floor area and the number of seated persons of the new tenant from the tenant database 13 (Step S14). Subsequently, the management device 14 (estimating unit 23) estimates the daily usage power transition of the new tenant based on the power consumption model selected by the selecting unit 22 (step S15). This step S15 corresponds to an estimation process.

  More specifically, the management device 14 (estimating unit 23) multiplies the selected power consumption model by the read effective floor area and the number of occupants, thereby changing the daily power consumption of the new tenant. Generate estimation data. For example, in the example shown in FIG. 9, since the effective floor area of the new tenant T4 is 50 square meters and the number of seats is 6, the power consumption model is multiplied by 50 × 6. Estimated data of changes in the daily power consumption is calculated.

  Subsequently, the management device 14 (target setting unit 24) sets the target power of each tenant based on the estimated power consumption model (step S16). For example, a value that is reduced by 15% from the current power consumption value (M4 (kW)) in the estimated daily power consumption transition is set as the target power (R4 (kW)). This step S16 corresponds to a target setting process.

  Note that the management device 14 (target setting unit 24) also calculates target powers R1, R2, and R3 (kW) for other tenants T1, T2, and T3 at this time. These target electric powers R1, R2, and R3 (kW) are values obtained from the electric powers M1, M2, and M3 (kW) used in the same period and the same period last year read from the electric power database 11. can do.

  Subsequently, the management device 14 (target setting unit 24) outputs the set target powers R1, R2, R3, R4 (kW) to the demand controller 15 (step S17). The demand controller 15 performs demand control of each electric equipment 4 so as not to exceed the inputted target power for each tenant (operation execution step).

  Thereafter, the management apparatus 14 returns to waiting for registration of a new tenant (step S11; No).

  Note that it is possible to set target values for tenants other than new tenants by executing this processing. In this way, a new tenant and a tenant who has already moved in can set the target power fairly based on the same power consumption model.

(Correction of power consumption model)
Next, the power consumption model correcting operation in the management apparatus 14 will be described. FIG. 10 shows a flowchart of a procedure executed by the management apparatus 14 (model correction unit 25) when correcting the power consumption model.

  As shown in FIG. 10, first, the management device 14 (model correction unit 25) waits until a predetermined time elapses after a power consumption model is generated and a new tenant is registered (step S21; No). Here, as the predetermined time, for example, an arbitrary time can be set, for example, after one day has elapsed or after one month has elapsed.

  When the predetermined time has elapsed (step S21; Yes), the management device 14 (model correction unit 25) reads the measurement data of the used power from the power database 11 (step S22). Subsequently, the management device 14 (model correction unit 25) reads out from the model database 19 a power consumption model that meets the conditions of the new tenant (step S23). Subsequently, the management device 14 (model correction unit 25) reads the effective floor area and the number of seated persons of the new tenant from the tenant database 13 (step S24). Subsequently, the management device 14 (model correction unit 25) multiplies the power consumption model by the effective floor area and the number of seated persons (step S25).

  Subsequently, the management device 14 (model correction unit 25) calculates a difference between the measurement data of the power consumption and the multiplication data of the power consumption model (that is, the transition of the power consumption estimated from the power consumption model) (step S26). ).

  Subsequently, the management device 14 (model correction unit 25) corrects the power consumption model based on the calculated difference (step S27). For example, when the difference between the transition of the power consumption and the multiplication data of the power consumption model is as shown in FIG. 11, the model correction unit 25 indicates that the multiplication data of the power consumption model is the transition of the power consumption. The power consumption model is modified so that it is closer.

  Subsequently, the management device 14 (model correction unit 25) re-registers the power consumption model in the model database 19 (step S28). After executing Step S28, the management device 14 (model correction unit 25) returns to waiting for a predetermined time again (Step S21; No).

  As described in detail above, the measured power usage value of each of the tenants T1 to T3, the information regarding the business conditions of the tenants T1 to T3, and the correspondence between the plurality of tenants T1 to T3 and the plurality of areas A1 to A4 A power consumption model is generated based on the relationship. Furthermore, a power consumption model that best meets the conditions of the new tenant T4 is selected from the generated power consumption models, and a target value for the new tenant T4 is set based on the selected power consumption model. As a result, the target power corresponding to the power consumption model based on the power usage status of the tenant T1 that meets the conditions is set for the new tenant T4. For this reason, even for the tenant T4 who has not used power in the past, a reduction target for power consumption can be set fairly with the other tenant T1.

Embodiment 2. FIG.
Next, a second embodiment of the present invention will be described.

  FIG. 12 shows a schematic configuration of target power setting system 100 according to the second embodiment. As shown in FIG. 12, the target power setting system 100 according to the second embodiment is different from the first embodiment in that the demand controller 15 is not provided.

  The administrator terminal 18 is connected to the management apparatus 14 via the network 16. The administrator terminal 18 is a computer having a display device and the like, as in the first embodiment.

  In the second embodiment, as shown in FIG. 13, the target setting unit 24 uses the target power (R1) calculated for each tenant T1 to T4 (new tenant T4 is added; see FIG. 9). , R2, R3, R4 (kW)) together with the power used last year (M1, M2, M3, M4 (kW)) and the output to the administrator terminal 18 is also the above embodiment 1 and different.

  The administrator terminal 18 displays information related to the target power values of the tenants T1 to T4 output from the target setting unit 24. FIG. 14 shows an example of an image displayed on the administrator terminal 18. As shown in FIG. 14, in this image, target powers R1, R2, R3, and R4 (kW) that should be requested to each tenant T1 to T4 are the powers M1, M2, M3, and M4 (kW) used last year. ) Is displayed in comparison with.

  The administrator who has seen this display requests each tenant T1 to T4 to use the power within the target power R1, R2, R3, R4 (kW). If each tenant T1 to T4 saves power by conserving the temperature of the air conditioner or dimming the lighting in accordance with this request, the overall power consumption can be reduced.

  In this way, the administrator terminal 18 can be regarded as an operation execution unit that performs a specific operation for reducing the supplied power in accordance with the calculated target power values of the tenants T1 to T4. .

  In this second embodiment, the demand control is not performed by the demand controller 15, but the manager is made aware of power saving to reduce power consumption. In this way, it is possible to realize a reduction in power consumption simply by making the consumer aware of power saving without providing the demand controller 15.

  In each of the above embodiments, the condition for selecting the power consumption model is the business type of the tenant, but the present invention is not limited to this. For example, the area or floor in which the tenant moves may be used as a condition for selecting the power consumption model. It is also possible to adopt conditions that further subdivide the industry. For example, it is of course possible to subdivide medical treatment into surgery, internal medicine, dentistry, veterinary medicine, and the like.

  In each of the above embodiments, the power consumption model is one per unit area and one seated person. However, the present invention is not limited to this. The model generation unit 21 may generate a power consumption model per unit area. In this case, the estimating unit 23 multiplies the power consumption model by only the effective floor area to generate a transition of the daily power consumption.

  In addition, the model generation unit 21 may generate a power consumption model for each seated person. In this case, the estimating unit 23 multiplies the power consumption model by the number of people present to generate a transition of the daily power consumption. Further, the model generation unit 21 may use a power consumption model per electric device. In this case, the estimation unit 23 multiplies the power consumption model by the number of electric loads to generate a daily power consumption transition.

  In addition, the model generation unit 21 may create a power consumption model per seated person and per electrical device, per unit area, and per electrical device. In this case, the estimation unit 23 uses the power consumption model by multiplying both the number of seated persons and the number of electrical devices, or by multiplying both the effective floor area and the number of electrical devices. Generate a transition for.

  Further, in each of the above-described embodiments, a plurality of different conditions are set as business types, and one power consumption model is generated for each business type. However, the present invention is not limited to this. For example, the model generation unit 21 may generate a power consumption model for every season, every month, or every day of the week. FIG. 15 shows an example of the data format of the model database 19 in which the power consumption model can be registered for each season.

  In this case, the selection part 22 should just select a power consumption model for every season corresponding to the present time, every month, or every day of the week among the power consumption models which correspond to a tenant's type of business. In this way, it is possible to set an appropriate target power for each tenant even when the power usage is different for each season, every month, or every day of the week.

  Further, the installation locations of the various databases 11, 12, 13, 19 and the management device 14 are not limited to the building 1. For example, the various databases 11, 12, 13, 19, the management device 14, and the like may be connected to the power measurement collection device 10, the demand controller 15, and the like via the Internet. Further, the various databases 11, 12, 13, 19 and the management device 14 may be realized by cloud computing.

  In the first and second embodiments, the program to be executed is a computer read such as a flexible disk, a CD-ROM (Compact Disc Read-Only Memory), a DVD (Digital Versatile Disc), and an MO (Magneto-Optical Disc). A system that executes the above-described thread may be configured by storing the program in a possible recording medium, distributing the program, and installing the program.

  Further, the program may be stored in a disk device or the like of a predetermined server device on a communication network such as the Internet, and may be downloaded, for example, superimposed on a carrier wave.

  In addition, when the above functions are realized by sharing an OS (Operating System), or when the functions are realized by cooperation between the OS and an application, only the part other than the OS may be stored in a medium and distributed. You may also download it.

  Various embodiments and modifications can be made to the present invention without departing from the broad spirit and scope of the present invention. The above-described embodiments are for explaining the present invention and do not limit the scope of the present invention. In other words, the scope of the present invention is shown not by the embodiments but by the claims. Various modifications within the scope of the claims and within the scope of the equivalent invention are considered to be within the scope of the present invention.

  The present invention is suitable for reducing the electric power used in a building where a plurality of tenants reside.

DESCRIPTION OF SYMBOLS 1 Building 2 Distribution board 4 Electric equipment 10 Electric power measurement collection apparatus 11 Electric power database 12 Operation database 13 Tenant database 14 Management apparatus 15 Demand controller 16 Network 18 Manager terminal 19 Model database 20 Electric power storage part 21 Model generation part 22 Selection part 23 Estimator 24 Target setting unit 25 Model correction unit 100 Target power setting system

Claims (9)

A target power setting system for setting a target value of power consumption for each of a plurality of residents occupying a building,
A first storage unit for storing information on the actual work of each of the plurality of residents;
A measuring unit that measures the value of power used in the building for each of a plurality of areas of the building;
A second storage unit that stores a value of power used measured by the measurement unit in association with an area;
A third storage unit for storing correspondences between the plurality of residents and the plurality of areas;
Information on the work status of each of the plurality of tenants stored in the first storage unit, the value of power used stored in the second storage unit, and the correspondence stored in the third storage unit A model generation unit that generates a power consumption model, which is a transition model of power consumption for each of a plurality of different conditions related to the actual state of work based on the relationship,
A fourth storage unit for storing information on the power consumption model generated by the model generation unit in association with the plurality of different conditions;
A selection unit that selects a power consumption model most suitable for the condition of a new resident from the power consumption models stored in the fourth storage unit;
Based on the power consumption model selected by the selection unit, an estimation unit that estimates the transition of power usage in new residents;
A target setting unit that sets a target power value of a new resident based on the transition of power consumption estimated by the estimation unit;
An operation execution unit that performs a specific operation for reducing the power supplied to the new occupant according to the value of the target power set by the target setting unit;
A target power setting system comprising: Based on the difference between the transition of the power consumption value estimated from the power consumption model stored in the fourth storage section and the transition of the power consumption value measured by the measurement section, the fourth storage A model correction unit for correcting the power consumption model stored in the unit;
The target power setting system according to claim 1. The plurality of different conditions include
At least one of the tenant's business type and the area in which the tenant resides,
The target power setting system according to claim 1 or 2. The model generation unit
Generate a power consumption model per unit area, per seated person, or per electrical device,
The estimation unit includes
By multiplying the generated power consumption model by the borrowed area of each resident stored in the first storage unit, the number of occupants or the number of electrical devices, the transition of the power consumption is estimated.
The target power setting system according to any one of claims 1 to 3, wherein The model generation unit
Generate a power consumption model for each season, month or day of the week,
The selection unit includes:
Select a power consumption model for the same season, month or day of the week,
The target power setting system according to any one of claims 1 to 4, wherein The operation execution unit is
The demand controller that controls the electrical equipment in the building so that the value of the power used by each resident falls within the value of the target power of each resident set by the target setting unit .
The target power setting system according to any one of claims 1 to 5, wherein The operation execution unit is
Displaying information indicating the reduction amount of each resident,
The target power setting system according to any one of claims 1 to 5, wherein A target power setting method for setting a target value of power consumption for each of a plurality of residents occupying a building,
A first storage step for storing information on the business status of each of the plurality of residents;
A measurement step of measuring a value of power used in the building for each of a plurality of areas of the building;
A second storage step of storing the value of the power used measured in the measurement step in association with the area;
A third storage step for storing the correspondence between the plurality of residents and the plurality of areas;
Information on the actual work status of each of the plurality of residents stored in the first storage step, the value of power used stored in the second storage step, and the correspondence stored in the third storage step A model generation process for generating a power consumption model, which is a transition model of power consumption for each of a plurality of different conditions related to the actual state of work based on the relationship;
A fourth storage step of storing information related to the power consumption model generated in the model generation step in association with the plurality of different conditions;
A selection step of selecting a power consumption model most suitable for the condition of a new resident from the power consumption models stored in the fourth storage step;
Based on the power consumption model selected in the selection step, an estimation step for estimating the transition of power usage in new residents;
A target setting step for setting a target power value of a new occupant based on the transition of power consumption estimated in the estimation step;
According to the target power value set in the target setting step, an operation execution step of performing a specific operation for reducing the power supplied to the new occupant;
A target power setting method comprising: A computer that sets the target value of power usage for each resident in the building,
A first storage unit for storing information on the actual work of each of the plurality of residents;
A second storage unit that stores a value of power used measured by a measuring unit that measures a value of power used in the building for each of a plurality of areas of the building, in association with the area;
A third storage unit for storing a correspondence relationship between the plurality of residents and the plurality of areas;
Information on the work status of each of the plurality of tenants stored in the first storage unit, the value of power used stored in the second storage unit, and the correspondence stored in the third storage unit A model generation unit that generates a power consumption model that is a transition model of power consumption for each of a plurality of different conditions related to the actual state of work based on the relationship,
A fourth storage unit for storing information on the power consumption model generated by the model generation unit in association with the plurality of different conditions,
A selection unit that selects a power consumption model that best meets the conditions of a new resident from the power consumption models stored in the fourth storage unit;
Based on the power consumption model selected by the selection unit, an estimation unit that estimates the transition of power usage in new residents,
A target setting unit for setting a target power value of a new resident based on the transition of the power consumption estimated by the estimation unit;
An operation execution unit for performing a specific operation for reducing the power supplied to the new occupant according to the value of the target power set by the target setting unit;
Program to function as.

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