WO2017138160A1

WO2017138160A1 - Equipment management device, equipment management system, and program

Info

Publication number: WO2017138160A1
Application number: PCT/JP2016/068173
Authority: WO
Inventors: 浩子泉原; 知晃行田; 千紗都佐藤; 宗佑南田; 利宏妻鹿; 佐藤　健二
Original assignee: 三菱電機株式会社
Priority date: 2016-02-10
Filing date: 2016-06-17
Publication date: 2017-08-17
Also published as: JP6637323B2; JP2017143650A

Abstract

An equipment management device 10 has a control pattern selection unit 13 and a reduction instruction unit 14. Control model information set on a per building basis is generated by making a control pattern and an estimated amount of power reduction correspond to each other, said control pattern indicating the contents of the operation control of air-conditioning equipment on a comfort level basis, said estimated amount of power reduction being obtained when operating the equipment of a building according to the control pattern. On the basis of the control model information, the control pattern selection unit 13 selects a control pattern applied to each building from the control model information of the each building so that the sum of the estimated amounts of reduction corresponding to the control patterns applied to the respective buildings exceeds a requested amount of power reduction requested from a power company and comforts in the respective buildings become comparable with each other, and determines, as an amount of power reduction of the building, the estimated amount of reduction corresponding to the selected control pattern. The reduction instruction unit 14 issues a reduction instruction by sending the selected control pattern to the building.

Description

Equipment management device, equipment management system and program

The present invention relates to a facility management apparatus, a facility management system and a program, and in particular, to a reduction in energy usage upon request.

Conventionally, it has been common to adjust the amount of power supplied by an electric power company in accordance with the demand in order to match the power supply-demand balance. On the other hand, in recent years, a practical operation of so-called demand response, in which a consumer changes the amount of demand to match the power supply-demand balance, has been studied. For example, in response to a reduction request from an electric power company, the aggregator issues a reduction instruction to a consumer who has contracted with itself. Or it operates so that use of electric power may be controlled by remote control.

JP 2012-38295 A JP 2012-39856 A

When the aggregator distributes the amount of power reduction requested by the power company to customers, it may be possible to distribute to some extent according to the contract details or incentives.

However, the amount of power reduction requested by the electric power company is not particularly determined, and may exceed or fall below the contract with the customer. That is, there may be a case where distribution cannot be made only according to the contents of the contract with the customer. Even in this case, it is necessary to determine how to allocate the requested reduction amount in consideration of the customer's situation.

The present invention aims to distribute the requested amount of energy reduction to each consumer while considering the comfort felt by the consumer.

The equipment management apparatus according to the present invention is control model information set for each consumer, and shows the content of operation control of equipment using energy for each comfort level indicating the comfort level given to the consumer. Control model information storage means for storing control model information generated by associating a control pattern with an expected reduction amount of energy when the facility of the customer is operated according to the control pattern; and energy In response to a request to reduce usage, a means of determining the amount of energy reduction for each customer by distributing the requested amount of reduction to each customer, and instructing each customer to reduce energy usage Control means for applying to each consumer based on the control model information of each consumer stored in the control model information storage means The control pattern to be applied to each consumer is set so that the total expected reduction amount of energy corresponding to the turn is equal to or greater than the requested reduction amount and the comfort level of each consumer satisfies the predetermined selection condition. Select from among the control model information, determine an expected reduction amount of energy corresponding to the selected control pattern as an energy reduction amount of the consumer, and the instruction unit is configured to determine each consumer selected by the determination unit. The control pattern is sent as a reduction instruction for the consumer.

In addition, a control pattern master that stores control pattern master information in which a control pattern indicating the contents of operation control of equipment using energy and a restriction level indicating a level at which the operation of the equipment is restricted by the control pattern are associated with each other For each consumer, for each consumer, a plurality of control patterns to be applied to the consumer are extracted from the control pattern master information stored in the control pattern master information storage, and the plurality of extracted Generating means for generating the control model information of the consumer by calculating an expected reduction amount of energy corresponding to each control pattern and associating the calculated expected reduction amount of energy with the control pattern. is there.

In addition, a plurality of the control pattern master information is set corresponding to the characteristics of the consumer, and the generating means uses the control pattern master information corresponding to the characteristics of the consumer to obtain the control model information of the consumer. Is to be generated.

In addition, the generation unit is an energy reduction amount obtained when the customer operates the equipment according to a control pattern sent as a reduction instruction, and the consumer selected by the determination unit The expected energy reduction corresponding to the control pattern is updated.

In addition, there is a collecting means for collecting comfort data indicating a sense of comfort in the consumer obtained after the consumer operates the equipment according to the control pattern sent as a reduction instruction by the consumer The generating means adjusts the control model information of the consumer based on the comfort level obtained based on the comfort data of each consumer collected by the collecting means.

In addition, the generation unit may be configured such that the comfort level corresponding to the control pattern of each consumer selected by the determination unit is obtained based on the comfort data collected by the collection unit, and the consumer's actual feeling of comfort. If they do not match, the control model information of the customer is updated to match.

In addition, it has contract information storage means for storing contract information with a consumer, and the determination means further determines the energy reduction amount of the consumer with reference to the contract information and giving priority to the content of the contract with the consumer. To do.

Also, the facility management device is used by the aggregator.

Further, the control model information storage means stores control model information set for each space of a consumer and includes the content of operation control of the equipment for each comfort level indicating the comfort level given to the space. Control model information generated for each space is stored by associating the control pattern shown and the expected reduction amount of energy when the facility of the space is operated according to the control pattern, and the aggregator This is used when distributing the reduction amount of the energy usage instructed to the consumer to each space of the consumer.

The facility management system according to the present invention includes the above-described facility management device used by the aggregator and the facility management device, and the facility management device used by the aggregator is capable of measuring the amount of energy used from the energy supply source. In response to the reduction request, the requested reduction amount is distributed to each consumer, and the facility management apparatus distributes the reduction amount distributed from the aggregator to each space of the consumer.

The program according to the present invention is control model information that is set for each consumer, and is a control pattern that indicates the content of operation control of equipment that uses energy for each comfort level that indicates the level of comfort given to the consumer. And a computer that can access control model information storage means for storing control model information generated by associating the expected reduction amount of energy when operating the facility of the customer according to the control pattern In response to a request to reduce the amount of energy used, the means for determining the amount of energy reduction for each customer by distributing the requested amount of reduction to each customer, reducing the amount of energy used for each customer The determination means is based on the control model information of each customer stored in the control model information storage means. Each consumer so that the total expected reduction amount of energy corresponding to the control pattern to be applied to each consumer is equal to or greater than the requested reduction amount, and the comfort level of each consumer satisfies a predetermined selection condition. The control pattern to be applied is selected from the control model information of the consumer, the expected reduction amount of energy corresponding to the selected control pattern is determined as the energy reduction amount of the consumer, and the instruction means The control pattern of each consumer selected by the means is sent as a reduction instruction for the consumer.

According to the present invention, it is possible to distribute the requested energy reduction amount to each consumer while considering the comfort felt by the consumer.

Also, it is possible to generate control model information corresponding to customer characteristics.

Also, the accuracy of the expected amount of energy reduction corresponding to the control pattern can be improved by learning based on the operation results of the equipment according to the control pattern applied for reducing the energy consumption.

Moreover, the prediction accuracy of the comfort felt by the consumer can be improved by learning based on the operation results of the equipment according to the control pattern applied for reducing the energy consumption.

Also, it is possible to distribute the requested amount of energy reduction to each customer while preferentially responding to requests based on the contract information by the customer.

Also, it is possible to determine the amount of energy reduction requested by the energy supplier at a level that is subdivided into the customer and each customer space.

It is the whole lineblock diagram showing an example of the power management system in this embodiment. It is the block block diagram which showed one Embodiment of the equipment management apparatus which concerns on this invention. It is a hardware block diagram of the computer which forms the equipment management apparatus in this Embodiment. It is the figure which showed the data setting example of the control pattern list memorize | stored in the control pattern list memory | storage part in this Embodiment. It is the figure which showed the data setting example of the control model information memorize | stored in the control model information storage part in this Embodiment. In this Embodiment, it is a figure used in order to demonstrate the process which produces | generates control model information with reference to the restriction | limiting pattern list | wrist. It is a flowchart showing the power consumption reduction processing in the present embodiment. It is the figure which showed the data setting example of the control model information in this Embodiment, and is a figure used in order to demonstrate the determination of the control pattern applied to each building in this Embodiment. It is a figure used in order to demonstrate the update of the control model information in this Embodiment. It is the figure which showed the data setting example of the control model information in this Embodiment, and is a figure used in order to demonstrate the determination of the control pattern applied to each building in this Embodiment. It is a figure for demonstrating the transition of the setting content of the control model information in this Embodiment. It is the figure which showed the transition of the setting content of the control model information in this Embodiment. It is the figure which showed the example of a setting of the control pattern list | wrist in this Embodiment. It is the figure which showed the other data setting example of the control model information in this Embodiment.

Hereinafter, preferred embodiments of the present invention will be described with reference to the drawings. In this embodiment, electricity will be described as an example of energy.

FIG. 1 is an overall configuration diagram showing an example of a facility management system in the present embodiment. FIG. 1 shows a plurality of buildings 3 that are used by receiving power supply from the power company 1, the aggregator 2, and the power company 1 that are power supply sources. Computers (not shown) used by the electric power company 1, the aggregator 2, and the building 3 are connected to the network 4. Aggregator 2 is a business operator that collects a large number of customers' buildings 3 in advance and contracts in advance, and selects the optimal combination from the buildings 3 contracted at the timing when the electric power company 1 needs to collect the necessary negawatts. It is. The aggregator 2 according to the present embodiment distributes the requested reduction amount to each building 3 in response to a reduction request (reduction request) for the usage power from the electric power company 1, so that the power usage is applied to each building 3. Instruct to reduce the amount.

FIG. 2 is a block diagram showing an embodiment of the equipment management apparatus according to the present invention. The facility management apparatus 10 according to the present embodiment is used by the aggregator 2 and distributes the reduction amount of the used electric power requested from the electric power company 1 to each building 3 by a process described later.

FIG. 3 is a hardware configuration diagram of a computer forming the facility management apparatus 10 according to the present embodiment. In the present embodiment, the computer forming the facility management apparatus 10 can be realized by a general-purpose hardware configuration that has existed in the past, such as a personal computer (PC). That is, the computer is provided as a CPU 21, a ROM 22, a RAM 23, a hard disk drive (HDD) 24, a mouse 25 provided as input means, a keyboard 26 provided as input means, and a display device as shown in FIG. An input / output controller 28 for connecting each display 27 and a network controller 29 provided as communication means are connected to an internal bus 30.

Returning to FIG. 2, the facility management apparatus 10 according to the present embodiment includes a comfort data collection unit 11, a control model information generation unit 12, a control pattern selection unit 13, a reduction instruction unit 14, a comfort data storage unit 15, and a control pattern. A squirrel storage unit 16, a control model information storage unit 17, and a building information storage unit 18 are provided. In FIG. 2, only the components necessary for the description in the present embodiment are illustrated, and the configuration that has been previously provided to function as the aggregator 2 is omitted.

The comfort data collection unit 11 is provided as a collection unit, and the comfort data of the building 3 obtained after operating the equipment installed in the building 3 according to the control pattern sent by the building 3 as a reduction instruction. Comfort data indicating actual feeling is collected and stored in the comfort data storage unit 15. The control model information generation unit 12 is provided as a generation unit, and for each building 3, a plurality of control patterns to be applied to the building 3 are selected from the control pattern list stored in the control pattern list storage unit 16. The control model information of the building 3 is extracted by calculating an expected reduction amount of the used power amount corresponding to each of the extracted control patterns and associating the calculated expected reduction amount of the used power amount with the control pattern. Is registered in the control model information storage unit 17. The control pattern selection unit 13 is provided as a determination unit, and distributes the requested reduction amount to each building 3 in accordance with the energy usage reduction request from the electric power company 1, thereby reducing the amount of power used by each building 3. Determine the amount of reduction. Although details will be described later, the control pattern selection unit 13 determines the expected reduction amount corresponding to the control pattern applied to each building 3 based on the control model information of each building 3 stored in the control model information storage unit 17. The control pattern to be applied to each building 3 is selected from the control model information of the building 3 so that the total is equal to or more than the reduction amount requested by the power company 1 and the comfort in each building 3 satisfies the predetermined selection condition. The expected reduction amount corresponding to the selected control pattern is determined as the reduction amount of the power consumption of the building 3. The reduction instruction unit 14 is provided as an instruction unit, and reduces the amount of power used to each building 3 by sending the control pattern of each building 3 determined by the control pattern selection unit 13 as a reduction instruction for the building 3. Instruct.

The control pattern list storage unit 16 is a control pattern master information storage unit that stores a control pattern list defined by associating a control pattern with each restriction level as control pattern master information. FIG. 4 shows a data setting example of the control pattern list stored in the control pattern list storage unit 16 in the present embodiment. FIG. 4 illustrates a control pattern defined assuming an air conditioner in the summer as equipment. The control pattern list is generated by associating a control pattern indicating the content of operation control of equipment using electricity with a restriction level indicating a level at which the operation of the equipment is restricted by the control pattern. In FIG. 4, the restriction level is indicated by a circle number, and a strict restriction control pattern is associated with a larger numerical value. In the present embodiment, an example is shown in which ten restriction levels are set in advance, but the number of restriction levels is not limited to this.

In FIG. 4, for example, “wind velocity weak (10/30 minutes)” with a restriction level of 1 means the control content that, if the operation time is 30 minutes, the operation is performed with the wind speed weakened for 10 minutes. . The restriction level of 4 “set temperature + 1 ° C. (5/30 minutes)” means the control content that if the operation time is 30 minutes, the set temperature is raised once from the present for 5 minutes. To do. As in this example, the amount of power used can be reduced by reducing the wind speed or raising the set temperature. Note that the operation time by changing the wind speed and temperature is not necessarily continuous. For example, in the case of the control pattern of “weak wind speed (10/30 minutes)”, the operation in which the wind speed is weakened for 5 minutes may be performed twice in 30 minutes, or the operation in which the wind speed is weakened for 2 minutes is performed five times. You may do it. Thus, the sum total of the operation time which weakened the wind speed should just be 10 minutes. Also, even when the operation weakened for 5 minutes is performed twice, for example, the operation weakened for 5 minutes after 10 minutes from the start of control is set as one set, and this set is repeated a predetermined number of times (here, twice). It is good also as control, and you may drive | operate which weakened 5 minutes twice in arbitrary timing in 30 minutes. The operation control that weakens the wind speed for a total of 10 minutes may be specific to the control pattern, or on the building 3 side, for example, the controller of the facility that has received the control pattern may control the operation of the facility in a desired pattern. .

In addition, according to the relationship between the restriction level 4 and the restriction level 5 of the control pattern shown in FIG. 4, when the set temperature is raised once in 30 minutes and the operation is performed for 5 minutes, the wind speed is decreased for 30 minutes, that is, the wind speed is reduced. It is assumed that the effect of reducing the amount of power used will be greater than when operating in a weak state at all times. It is assumed that the comfort level decreases as the power consumption reduction effect increases. In the present embodiment, the setting example shown in FIG. 4 is used as the control pattern, but it is not necessary to limit to this setting example.

In the building information storage unit 18, information on each building 3 with which the aggregator 2 is contracted, specifically, building information such as the number of floors, the size, and the number of rooms of the building 3, and the equipment installed in the building 3 Equipment information such as the number, installation location, etc. In addition, in the case of the present embodiment, contract contents concerning the selection conditions of the control pattern are set. Details of the other storage units 15 to 17 will be described later.

Each component 11 to 14 in the facility management apparatus 10 is realized by a cooperative operation of a computer that forms the facility management apparatus 10 and a program that operates on the CPU 21 mounted on the computer. The other storage units 15 to 18 are realized by the HDD 24 mounted in the facility management apparatus 10. Alternatively, the RAM 23 or an external storage means may be used via a network.

Further, the program used in this embodiment can be provided not only by communication means but also by storing it in a computer-readable recording medium such as a CD-ROM or USB memory. The program provided from the communication means or the recording medium is installed in the computer, and various processes are realized by the CPU of the computer sequentially executing the program.

The aggregator 2 responds to the reduction request by distributing the requested reduction amount to each contracted building 3 in response to a reduction request for the amount of power used from the power company 1. This embodiment is characterized in that the requested reduction amount is distributed in consideration of the comfort in each building 3. In order to implement this characteristic distribution, it is necessary to make initial settings in the control model information in addition to defining the above-described restriction pattern list in advance. Hereinafter, the initial setting process performed by the control model information generation unit 12 will be described.

FIG. 5 is a diagram showing a data setting example of the control model information stored in the control model information storage unit 17 in the present embodiment. The control model information of each building 3 is set so that a set of a control pattern and an expected reduction amount is associated with a target comfort level indicating a comfort level. The control model information generation unit 12 is intended to generate control model information for each building 3 in the initial setting.

FIG. 6 conceptually shows a process of generating a control model information by extracting a predetermined number of control patterns from the restriction pattern list. In the present embodiment, a case where five control patterns are extracted as a predetermined number will be described as an example. FIG. 6 illustrates a case where five control patterns corresponding to restriction levels 4 to 8 are extracted for building A, and five control patterns corresponding to restriction levels 3 to 7 are extracted for building B. is doing. For example, when the control model information generation unit 12 extracts a control pattern for the building A, the control model information generation unit 12 applies the extracted control pattern to the control model information table of the building A. The control pattern extracted in the same manner for the buildings B and C is applied to the control model information table for each of the buildings B and C.

In this way, the control model information generation unit 12 associates the extracted control pattern with the target comfort level of each building 3. As illustrated in FIG. 6, the restriction level of the control pattern extracted to be applied to the control model information does not necessarily need to be matched between the buildings 3, and may be determined for each building with reference to the characteristics of the buildings 3. However, in FIG. 5, unlike FIG. 6, for convenience of explanation, the control pattern corresponding to the restriction level of 4 to 8 around the center of the control pattern squirrel is also applied to the building B in the same manner as the buildings A and C. Is extracted as an initial value. In the present embodiment, a smaller numerical value means a higher level of comfort, that is, comfort.

As will be described in detail later, in the present embodiment, after a predetermined time has elapsed since the air conditioner was operated in the control pattern instructed by the aggregator 2 in each building 3, a questionnaire about comfort was sent to each building 3. Having the resident answer, the aggregator 2 will collect the results of the questionnaire. For example, when a reduction instruction is sent by sending a control pattern of “air blowing (5/30 minutes)”, the aggregator 2 obtains from the questionnaire results that the level of comfort felt by the residents of the building 3 is 2. The goal is to be. Therefore, the control model information is referred to as “target comfort level”.

As described above, when a control pattern is set for each building 3 corresponding to each target comfort level, the control model information generation unit 12 then sets an expected reduction amount corresponding to each set control pattern. To do. The expected reduction amount is the expected reduction amount (expected reduction amount of energy) when the air conditioning equipment is operated according to the corresponding control pattern. The control model information generation unit 12 calculates the expected reduction amount for each building by referring to the building information of each building 3 including the installation information such as the number of installed air conditioning facilities and the specification information such as the performance of the air conditioning facilities. If the number of air-conditioning equipment installed in each building 3, the installation position of the air-conditioning equipment, and the performance of the air-conditioning equipment are different, the predicted reduction value of each building 3 will be different even if it is operated based on the same control pattern .

In this embodiment, the number of target comfort levels set in the control model information is 5. However, this setting example is only an example and is not limited to this example. In the present embodiment, continuous restriction levels are extracted, but it is not necessarily limited to continuous. Of course, since the level is shown, it is necessary to set the control model information in the order of the size of the restriction level.

The control model information generation unit 12 in the present embodiment performs initial setting of the control model information as described above. After the initial setting is completed, in the building 3 as a consumer, the equipment is operated in a normal operation. In this normal operation, it is not necessary to refer to the control model information.

Here, when the power company 1 requests reduction of the amount of power used, the aggregator 2 uses the amount of power consumption specified in the reduction request (hereinafter referred to as “reduction required power amount”). The power reduction process is started. Hereinafter, the power consumption reduction process according to the present embodiment will be described with reference to the flowchart shown in FIG.

When the reduction required power amount is acquired (step S101), the control pattern selection unit 13 selects a control pattern to be applied to each building 3 from the control model information of the building 3, and determines the distribution amount of the reduction required power amount. Determine (step S102). A basic process for determining the control pattern and the amount of power to be distributed will be described with reference to FIG.

For example, it is assumed that the electric power company 1 requests a reduction of 30 kWh. At this time, the control pattern selection unit 13 tries to select the control pattern of each building 3 so that the comfort of each building 3 does not vary and the target comfort level is comparable. According to the setting example illustrated in FIG. 8, when the expected reduction amount of the target comfort level 2 of each building 3 is added, the reduction required power amount requested by the power company 1 is 7.0 + 10.5 + 11.0 = 28.5 kWh. I can't respond. In addition, when the expected reduction amount of the target comfort level 3 of each building 3 is added up, it becomes possible to reduce the reduction required power amount requested by the electric power company 1 at 8.0 + 12.0 + 14.0 = 34.0 kWh. Reduces power consumption more than necessary. That is, an unnecessary reduction is required for the building 3.

Therefore, the control pattern selection unit 13 adjusts the target comfort level of at least one building A to C according to a predetermined selection condition and priority so that the comfort in each building 3 does not vary as much as possible. And the control pattern applied to each building 3 is selected from the control model information of the said building 3 so that the excess from the total reduction request | requirement electric energy of each building 3 may be reduced as much as possible. According to the setting example shown in FIG. 8, when 2 is selected as the target comfort level of the buildings A and C and 3 is selected as the target comfort level of the building B, the degree of variation, that is, the target comfort level between the buildings 3 is determined. Since the difference is 1 (= 3−2) and the total expected reduction amount of each building 3 is 30 kWh, which is the same as the reduced power amount, the control pattern selection unit 13 sets the control pattern and the expected value for each building 3. Determine the amount of reduction. In this way, the control pattern selection unit 13 determines the amount of power consumption reduction (hereinafter, “power reduction amount”) as the expected reduction amount of each building 3.

When the reduction required power amount is distributed to each building 3 as described above, the reduction instruction unit 14 reduces the power consumption by notifying the building 3 of the control pattern determined for each building 3. Is instructed (step S103).

In each building 3, the control pattern of the operation of the air conditioning equipment is changed according to the control pattern notified at the time of the reduction instruction. For example, in the building A, the air conditioning equipment is controlled so as to be operated by blowing for 5 minutes out of 30 minutes. If the operation of the air conditioning equipment is controlled in accordance with this instruction, it is possible to reduce the amount of power used by 7.0 kWh in building A.

◎ After a predetermined period of time has elapsed since the driving was changed, each building 3 conducts a questionnaire on the comfort of residents of the building 3. For example, a window screen for inputting comfort to a terminal used by a resident is displayed, and a level indicating comfort, for example, a numerical value of 1 to 5 is input.

When the results of the questionnaire conducted as described above are sent, the comfort data collection unit 11 acquires the results of the questionnaire and accumulates them as comfort data in the comfort data storage unit 15 (step S104). ). The comfort data includes at least the identification information of the building 3 in which the resident who answered the questionnaire resides and the comfort level answered by the resident. Further, in each building 3, the difference between the amount of power used in a predetermined period (for example, 30 minutes) immediately before receiving the reduction instruction and the amount of power used in the predetermined period (for example, 30 minutes) after receiving the reduction instruction. The comfort data collection unit 11 acquires the actual power reduction amount calculated for each building 3 from each building 3 (step S105).

As described above, when the result of driving control based on the control pattern notified by the reduction instruction unit 14 is obtained by the comfort data collection unit 11, the control model information generation unit 12 outputs the control model information of each building 3 as follows. It updates as follows (step S106).

FIG. 9 is a diagram used for explaining control model information update processing in the control model information generation unit 12. In FIG. 9, the control pattern (execution control) of each building 3 determined in step 102, the target comfort level and the power reduction amount (these are collectively referred to as “expected information” 31), and the comfort obtained in steps 104 and 105. The level and power reduction amount (these are collectively referred to as “result information” 32), and the control model information updated as necessary by the control model information generation unit 12 based on these

information

31 and 32 are shown. In addition, although the comfort level in the performance information 32 assumes that the control model information generation part 12 calculates | requires, for example by calculating an average value etc., from the comfort level contained in the comfort data of the said building 3, You may calculate by another calculation method, or you may acquire and utilize the comfort level calculated in the building 3 side based on a questionnaire result.

First, focus on Building A. Referring to the forecast information 31, if the aggregator 2 instructs the building A to reduce the air conditioning equipment to operate with the control pattern of ventilation (5/30 minutes), a power reduction amount of 7.0 kWh can be expected. Residents were expected to feel comfort level "2". Then, referring to the performance information 32, in Building A, the amount of power of 7.8 kWh is actually reduced, and the resident feels comfort at the comfort level “3”. In other words, the operation control with the control pattern of air blowing (5/30 minutes) has an unexpected reduction effect (7.8-7.0 = 0.8 kWh reduction) for the building A, and the residents In contrast, an unpleasant feeling more than expected (comfort level “3” instead of “2”) was given. Therefore, the control model information generation unit 12 updates the expected reduction amount corresponding to the control pattern of air blowing (5/30 minutes) from “7.0” to “7.8” according to the record information 32. Furthermore, the control pattern of the air blowing (5/30 minutes), which has currently set the target comfort level to “2”, is changed to “3”. To change the control pattern, as shown in FIG. 9, the control pattern list in FIG. 4 is slid downward by one level. In this way, the restriction levels 4 to 8 corresponding to the target comfort levels 1 to 5 of the building A are changed to the restriction levels 3 to 7.

Next, focus on Building B. The building B may be processed in the same manner as the building A. Therefore, the expected reduction amount corresponding to the control pattern of the blown air (5, 30 minutes) performed is updated from “10.5” to “9.7”. In the case of building B, the expected comfort level and the actual comfort level are “2”, so there is no need to adjust the target comfort level of the control pattern. Moreover, regarding the building C, since the expected result was obtained, it is not necessary to update the control model information at all. The control model information generation unit 12 appropriately updates the control model information based on the result information obtained according to the reduction instruction as described above.

Thereafter, when a request for reducing the amount of power used is sent again from the electric power company 1, the power consumption reduction process shown in FIG. 7 is performed, whereby the control model information is updated. Thus, the accuracy of the control model information is improved by learning based on predictions and results.

According to the present embodiment, the requested reduction amount (reduction required power amount) is distributed to each building 3 in response to a request for reduction of the used power amount from the power company 1 as described above.

The above processing is a basic processing. When determining the control pattern to be applied to each building 3 in step 102 of this basic process, the control pattern selection unit 13 does not vary the comfort of each building 3 and is set to be almost equal. Of course, it is necessary to reduce the amount of power required for the reduction required power amount. In the basic processing, such a control pattern selection condition is used. However, the present invention is not limited to this example, and other selection conditions or combinations of selection conditions are used, and a plurality of selection conditions are adopted. The control pattern to be applied to each building 3 may be determined by setting the degree.

As a selection condition, for example, as described above, the comfort of each building 3 may not be varied. Specifically, the difference between the maximum value (worst) and minimum value (best) of the set target comfort level may be minimized, or the average value of the target comfort levels of each building 3 may be maximized. Also, priority is given to making the total expected reduction amount of each building 3 coincide with the required reduction power amount. If there is no combination of control patterns that matches, the difference between the total expected reduction amount and the reduction required power amount May be minimized, or an upper limit value of the difference may be set, and if it does not exceed the upper limit value, it may be selected.

Also, the control pattern selection condition may be set in the contract range with each building 3, and this contract information may be referred to. As the selection conditions specified in the contract, for example, power reduction (for example, up to 20 kWh), driving control below a predetermined comfort level (for example, the target comfort level is “3”), an incentive paid to the building 3 is not implemented. Give priority.

FIG. 10 is a diagram showing an example of setting the control model information, which is the control model information having the same contents as FIG. Although there are many combinations of control patterns that can achieve the reduction required electric energy (30 kWh), referring to the contract information in FIG. 10, the average value of the target comfort level is close to comfortable (the target comfort level is 1). This is an example of applying the selection condition of. Further, it is assumed that the building A includes the selection condition that the comfort level is 3 or more (1 to 3) in the contract information, and the building C includes the selection condition that the incentive priority is included in the contract information. In this case, a control pattern with a target comfort level of 1 is determined for buildings A and B, and a control pattern with a target comfort level of 4 is determined for building C. The target comfort level of the building C is 4, which is lower than those of the buildings A and B, but more incentives are received accordingly. The average target comfort level in FIG. 10 is (1 + 1 + 4) /3=2.0, and the average comfort level is higher than (2 + 3 + 2) /3=2.3 in FIG.

In order to determine the target comfort level to be applied to each building 3 described above, an evaluation formula according to the priority or an evaluation formula weighted to the selection condition is created in advance, and the reduction requested to be reduced in the evaluation formula When the required power amount is input, a target comfort level to be applied to each building 3 may be determined, and a control pattern may be determined accordingly.

By the way, as described above, in this embodiment, when there is a reduction request from the electric power company 1, the above-described power consumption reduction process is performed and the control model information is updated to improve accuracy. did. However, in some cases, inconsistencies may arise. This will be described with reference to FIG.

In FIG. 11, building A is taken as an example. 11A is the control model information after the initial setting, FIG. 11B is the control model information after the first reduction request from the power company 1, and FIG. 11C is the first control model information from the power company 1. The control model information after the reduction request is shown. Further, between FIG. 11 (a) and FIG. 11 (b) and between FIG. 11 (b) and FIG. 11 (c), prediction information corresponding to the prediction information 31 and the performance information 32 described in FIG. 9, respectively. 33 and 35 and performance information 34 and 36 are shown. Referring to the prediction information 33 and the actual information 34 corresponding to the first reduction request, the power reduction amount is different although the comfort level is the same. Therefore, the expected reduction amount corresponding to the control pattern sent at the time of the reduction instruction in the control model information is obtained. Update.

Subsequently, referring to the prediction information 35 and the actual information 36 corresponding to the second reduction request, the comfort level and the power reduction amount are different. Therefore, in the above description of the process, the control pattern included in the control model information is slid. It is also necessary to update the expected reduction amount. Here, paying attention to the comfort level, the target comfort level is 4 in the processing for the first reduction request, and the resident actually felt 4 in the result of the questionnaire. Therefore, it was not necessary to slide the control pattern. On the other hand, in the processing for the second reduction request, the resident felt 4 according to the result of the questionnaire, although the target comfort level was 3. In other words, the comfort level is the same 4 regardless of whether it is operated with a control pattern of “air blowing (10/30 minutes)” or a control pattern of “set temperature + 1 ° C .: (15/30 minutes)”. In other words, in order to operate the air conditioning equipment so that the comfort level is 4, one of “air blowing (10/30 minutes)” or “set temperature + 1 ° C .: (15/30 minutes)” is prepared as a control pattern. It ’s just that. That is, one control pattern is deleted from the control model information.

This will be further explained with reference to FIG. 12. When control is performed for building A by extracting control patterns of restriction levels 4 to 8 from the control pattern list 初期 at the initial setting as shown in FIG. Model information was generated. In FIG. 12, only the control pattern is shown in the control model information. In the first reduction request, there is no change in the control pattern as shown in FIG. Subsequently, as a result of executing the air conditioner operation control in response to the second reduction request, it should be slid to lower the control pattern. It has been. Therefore, here, the control pattern of “setting temperature + 1 ° C. (15/30 minutes)” with a restriction level of 6 is deleted as unnecessary. When the control pattern with restriction level 6 is deleted, the control model information of building A is configured with control patterns with restriction levels 4, 5, 7-9, and with control patterns with restriction levels 3-5, 7, 8 The case where it comprises is considered. Either of these may be adopted, but here, in order to prevent the movement of “fan (10/30 minutes)” with a comfort level of 4 where the expected comfort was obtained, FIG. As shown, the building A control model information is updated so as to be configured with control patterns of restriction levels 3 to 5, 7, and 8.

According to the present embodiment, the aggregator 2 realizes a reduction in the required power consumption in response to a reduction request for the power consumption from the power company 1 as described above.

In the present embodiment, the control model information of each building 3 is initially set with reference to the control pattern list set in the control pattern list storage unit 16. However, depending on the structure of the building 3, the number of floors, the direction of the windows, etc., the number of electrical facilities installed in the building 3, etc., the amount of reduction in power consumption may vary even with the same control pattern. Therefore, as illustrated in FIG. 13, a plurality of control pattern lists are prepared in advance and registered in the control pattern list storage unit 16, and the control model information generation unit 12 stores the control model information of each building 3 at the initial setting. When generating, a plurality of control pattern lists set in the control pattern list storage unit 16 by referring to the building information in which the structure of each building 3 stored in the building information storage unit 18 is set. You may make it specify the control pattern list | wrist applied to each building 3 from among.

Further, in the present embodiment, the case where an air conditioning facility is used as an electric device to reduce the amount of power used and a control pattern list specialized for the air conditioning facility is set in advance has been described as an example. The device may be a target for reducing the amount of power used. Also, a plurality of different types of electric devices may be combined to reduce power consumption.

By the way, as described above, the aggregator 2 distributes the reduction required power amount to each building 3 in response to a request from the electric power company 1, and each building 3 performs air conditioning based on the control pattern specified in the reduction instruction. By operating the facility, the amount of power used is reduced by the specified amount of power reduction. As for how to reduce in each building 3, basically, the entire building 3 is operated and controlled in the same manner according to the control pattern, that is, all the air conditioning facilities are operated in the same pattern. I was expecting. However, just as there is a difference in the size of the building 3, the size and orientation of the room, the performance of the air conditioning equipment, the number of installed units, the number of residents, etc. may be different within the building 3. In the same way, there is a possibility that the comfort given to the residents in the building 3 may vary.

Therefore, as described above, as the aggregator 2 distributes the requested reduction power amount from the power company 1 to each building 3, the power reduction amount instructed to be reduced from the aggregator 2 is also obtained in each building 3. You may distribute to each space, such as a floor of a said building, and a living room, and you may make it not produce dispersion | variation in the comfort of the resident in each space.

FIG. 14 is a diagram showing another data setting example of the control model information in the present embodiment. In FIG. 5, the control model information is generated for each building, but FIG. 14 shows an example in which the control model information is generated for each area. In this case, the facility management apparatus 10 distributes the requested reduction power amount from the power company 1 to each building 3, and then refers to the control model information illustrated in FIG. The amount is distributed to each area of the building 3. In this way, there may be no variation in comfort in each area.

In this case, in addition to the identification information of the building 3 and the comfort level answered by the resident, the questionnaire collected from each building 3 must include the identification information of the area where the resident is located. .

However, in order for the facility management device 10 of the aggregator 2 to determine the amount of power reduction to the area of each building 3, the aggregator 2 must have information about the area of each building 3. In addition, the processing load increases. Therefore, in order to avoid the concentration of information on the aggregator 2 and an increase in processing load, each building 3 may be provided with the processing function of the facility management apparatus 10 described above. That is, the facility management device 10 having the same function as the facility management device 10 described above is also installed in each building 3. Alternatively, an existing building management device in each building 3 or a control device (controller) that controls the operation of the facility is provided with the processing function of the facility management device 10, and these devices are used as the facility management device 10. In this case, the area that is the control unit of the air conditioning equipment in the building 3 corresponds to the building 3 that has received a reduction request for the amount of power used in the above description, and corresponds to a consumer.

In the above description, the aggregator 2 sends only the control pattern as a reduction instruction. In this case, the aggregator 2 further sends the power reduction amount (the expected reduction amount included in the control model information corresponding to the control pattern). There is a need. If the reduction instruction from the aggregator 2 is regarded as a reduction request from the power company 1 described above, and if the power reduction amount from the aggregator 2 is regarded as the reduction required power amount from the power company 1 described above, it is installed in each building 3. By generating the control model information shown in FIG. 14 at the time of initial setting, the facility management apparatus 10 can issue an instruction to reduce the amount of power used for each area to the controller that controls the operation of the air conditioning facility. . Then, the controller controls the operation of the corresponding air conditioning equipment based on the designated control pattern in accordance with the reduction instruction.

In this way, by providing the facility management devices 10 in a hierarchical manner, it is possible to achieve a reduction corresponding to the reduction required power amount requested from the electric power company 1 in consideration of the comfort in each area of the building 3 and the building 3. it can.

In this embodiment, the case where the energy is applied to electricity has been described as an example, but the present invention can also be applied to other energy such as gas.

1 power company, 2 aggregator, 3 building, 4 network, 10 equipment management device, 11 comfort data collection unit, 12 control model information generation unit, 13 control pattern selection unit, 14 reduction instruction unit, 15 comfort data storage unit, 16 control pattern list storage unit, 17 control model information storage unit, 18 building information storage unit, 21 CPU, 22 ROM, 23 RAM, 24 hard disk drive (HDD), 25 mouse, 26 keyboard, 27 display, 28 I / O controller Roller, 29 network controller, 30 internal bus.

Claims

Control model information set for each consumer, for each comfort level indicating the level of comfort given to the consumer, according to the control pattern indicating the content of the operation control of the facility using energy, and the control pattern Control model information storage means for storing control model information generated by associating an expected reduction amount of energy when operating the facility of the consumer;
A determination means for deciding the energy reduction amount of each consumer by distributing the requested reduction amount to each customer in response to a request for reduction of energy usage;
Instruction means for instructing each customer to reduce energy consumption;
Have
The determining means is based on the control model information of each consumer stored in the control model information storage means, and the total reduction of the expected reduction amount of energy corresponding to the control pattern applied to each consumer is the requested reduction. The control pattern to be applied to each consumer is selected from the control model information of the consumer so that the comfort level at each consumer satisfies the predetermined selection condition, and corresponds to the selected control pattern. Determine the expected energy savings as the energy savings for the customer,
The said instruction | indication means sends the control pattern of each consumer selected by the said determination means as a reduction instruction | indication of the said consumer, The equipment management apparatus characterized by the above-mentioned.
Control pattern master information storage for storing control pattern master information in which a control pattern indicating the content of operation control of equipment using energy is associated with a restriction level indicating a level at which the operation of the equipment is restricted by the control pattern Means,
For each consumer, a plurality of control patterns to be applied to the consumer are extracted from the control pattern master information stored in the control pattern master information storage means, and each of the extracted control patterns corresponds to each consumer Generating means for generating the control model information of the consumer by calculating an expected reduction amount of energy to be calculated and associating the calculated expected reduction amount of energy with the control pattern;
The facility management apparatus according to claim 1, wherein:
A plurality of the control pattern master information is set corresponding to the characteristics of the consumer,
The facility management apparatus according to claim 2, wherein the generation unit generates control model information of the consumer using control pattern master information corresponding to the characteristics of the consumer.
The generating means controls the consumer selected by the determining means with an energy reduction amount obtained when the customer operates the equipment according to a control pattern sent as a reduction instruction. The equipment management apparatus according to claim 1, wherein an expected reduction amount of energy corresponding to the pattern is updated.
A collection means for collecting comfort data indicating a sense of comfort in the consumer obtained after operating the equipment of the consumer according to a control pattern sent by the consumer as a reduction instruction;
The facility management according to claim 1, wherein the generation unit adjusts the control model information of the consumer based on a comfort level obtained based on the comfort data of each consumer collected by the collecting unit. apparatus.
The generating means matches the actual feeling of comfort of the consumer obtained by the comfort level corresponding to the control pattern of each consumer selected by the determining means based on the comfort data collected by the collecting means. If not, the equipment management apparatus according to claim 5, wherein the control model information of the customer is updated so as to match.
Having contract information storage means for storing contract information with customers;
The facility management apparatus according to claim 1, wherein the determination unit further refers to the contract information and determines the energy reduction amount of the consumer with priority given to the content of the contract with the consumer.
The equipment management device according to claim 1, wherein the equipment management device is used by an aggregator.
In the control model information storage means, control model information set for each space of the consumer, and indicating the content of the operation control of the equipment for each comfort level indicating the level of comfort given to the space Control model information generated for each space is stored by associating a pattern with an expected reduction amount of energy when the facility in the space is operated according to the control pattern,
The facility management apparatus according to claim 1, wherein the facility management apparatus is used when distributing a reduction amount of energy usage instructed to a consumer by an aggregator to each space of the consumer.
The facility management apparatus according to claim 8;
The facility management apparatus according to claim 9;
Have
The facility management device according to claim 8 distributes the requested reduction amount to each consumer in response to a reduction request for energy usage from an energy supplier.
The equipment management system according to claim 9, wherein the equipment management system distributes the reduction amount distributed from the aggregator to each space of the consumer.
Control model information set for each consumer, for each comfort level indicating the level of comfort given to the consumer, according to the control pattern indicating the content of the operation control of the facility using energy, and the control pattern A computer accessible to the control model information storage means for storing the control model information generated by associating the expected reduction amount of energy when operating the facility of the consumer;
A determination means for deciding the energy reduction amount of each consumer by distributing the requested reduction amount to each customer in response to a request for reduction of energy consumption;
Instruction means for instructing each customer to reduce energy consumption,
Function as
The determining means is based on the control model information of each consumer stored in the control model information storage means, and the total reduction of the expected reduction amount of energy corresponding to the control pattern applied to each consumer is the requested reduction. The control pattern to be applied to each consumer is selected from the control model information of the consumer so that the comfort level at each consumer satisfies the predetermined selection condition, and corresponds to the selected control pattern. Determine the expected energy savings as the energy savings for the customer,
The said instruction | indication means sends the control pattern of each consumer selected by the said determination means as a reduction instruction | indication of the said consumer.