JP6181263B2 - Energy management apparatus and energy management method - Google Patents

Description

  Embodiments described herein relate generally to an energy management apparatus and an energy management method that can be suitably used in an apartment house such as a condominium.

  Apartment houses (condominiums) that receive power at a high voltage in a lump and distribute it to multiple consumers are being built. If power consumption can be reduced in this type of condominium, the basic charge for contracts with power companies can be reduced, which is even more advantageous. It is certain that the number of condominiums that have introduced energy management systems will increase in the future.

JP 2011-239568 A JP 2009-124846 A

  Demand response is an effective technique for reducing power consumption. For example, the demand response includes a method of requesting a consumer who exceeds a predetermined consumption amount to reduce power consumption. However, simply focusing on energy consumption, it is likely that only specific customers will receive reduction requests. For example, a large-occupied room in a condominium will always receive a request for reduction, which may lead to an unfair feeling among residents. Therefore, an energy management method that considers not only power consumption but also various factors is desired.

  An object is to provide an energy management apparatus and an energy management method capable of reducing the unbalance among consumers related to the reduction of power consumption.

  According to the embodiment, the energy management apparatus includes a storage unit, a calculation unit, and a control unit. A memory | storage part memorize | stores the area information database which matched the area priority set for every attribute of a some consumer for every different condition. In response to a power reduction request to a community to which a plurality of consumers belong, the calculation unit calculates the rank of each consumer that reduces power consumption based on the area information database. A control part controls energy consumption of a consumer based on a ranking.

FIG. 1 is a diagram illustrating an example of a system according to the embodiment. FIG. 2 is a diagram illustrating an example of an energy management system according to the embodiment. FIG. 3 is a functional block diagram showing a main part of the system shown in FIG. FIG. 4 is a diagram illustrating an example of the apartment information 413. FIG. 5 is a diagram illustrating an example of the priority information 41. FIG. 6 is a diagram schematically illustrating a processing procedure and information flow by the MEMS server 120. FIG. 7 is an activity diagram for explaining the setting of the exclusive unit priority information (411), the shared unit priority information (412), and the apartment information (413). FIG. 8 is an activity diagram illustrating an example of a processing procedure performed by the MEMS server 120. FIG. 9 is a diagram illustrating an example of information obtained from the DR signal. FIG. 10 is a diagram illustrating an example of apartment information extracted from the acquired DR signal. FIG. 11 is a diagram illustrating an example of the final priority for each consumer. FIG. 12 is a flowchart showing an existing processing procedure for responding to a DR signal. FIG. 13 is a block diagram illustrating an example of an energy management system according to the third embodiment.

  FIG. 1 is a diagram illustrating an example of a system according to the embodiment. FIG. 1 shows an example of a system known as a so-called smart grid. In the existing grid (grid), existing power plants such as nuclear power, thermal power, and hydropower are connected to a wide variety of consumers such as ordinary households, buildings, and factories through the power grid. In the next-generation power grid, in addition to these, distributed power sources and storage devices such as photovoltaic power generation (PV) systems and wind power generators, new transportation systems and charging stations are connected to the power grid. Is done. These various elements can communicate via a communication grid.

  A system for managing energy is collectively referred to as an energy management system (EMS). EMS is classified into several types according to its size. For example, there are HEMS (Home Energy Management System) for general households and BEMS (Building Energy Management System) for buildings. In addition, there are CEMS (Community Energy Management System) for smaller systems or communities, and FEMS (Factory Energy Management System) for factories. Fine energy optimization control can be realized by linking these systems. In particular, the embodiment focuses on a Mansion Energy Management System (MEMS) for apartment houses.

  These systems enable highly coordinated operation among existing power plants, distributed power sources, renewable energy sources such as solar and wind power, and consumers. As a result, a new and smart power supply service such as an energy supply system mainly composed of natural energy and a consumer-participation type energy supply and demand through two-way cooperation between a customer and a business operator is created.

  Social systems provide comfort and convenience to people's lives through social infrastructure represented by the smart grid. The future social system is required to achieve social goals such as energy saving by organically combining various social infrastructures using information processing technology and communication technology. Yes. Next, an energy management system that can be a solution to such needs is disclosed.

[First Embodiment]
FIG. 2 is a diagram illustrating an example of an energy management system according to the first embodiment. The apartment 101 shown in FIG. 2 includes a shared unit 102 and a dedicated unit 103. The exclusive part 103 is a living part, and residents, offices, various tenants, etc. move in.
The shared unit 102 includes facilities such as an elevator 104, an apartment management room, a lobby, a landing, a guest room, and the like. In addition, the apartment 101 includes a charging stand 105 for charging an electric vehicle (EV), which can also be included in the shared unit 102. The resident of each house in the exclusive unit 103, the elevator of the common unit 102, the management room, the charging stand 105, etc. are all consumers of electric power. Hereinafter, consumers of electric power are collectively referred to as consumers.

  The apartment 101 is connected to a MEMS local 106 that can be installed outside or inside the apartment 101. The MEMS local 106 has a function as a local server for controlling energy consumption in the apartment 101. That is, the MEMS local 106 communicates with the customer (or the customer's HEMS), individually controls the consumer's electrical equipment, stops operation, or switches to the power saving mode, thereby changing the energy of the condominium 101. Control consumption.

  ECHONET (registered trademark), ECHONET Lite (registered trademark), ZigBEE (registered trademark), Z-Wave (registered trademark), KNX (registered trademark), etc. should be used for the communication protocol between the MEMS local 106 and the electrical device. Is possible. As a lower layer communication protocol, a wired LAN such as Ethernet (registered trademark), power line communication, wireless LAN, Bluetooth (registered trademark), or the like can be used.

  The MEMS local 106 is connected to a cloud computing system (hereinafter referred to as a cloud) 110 via an IP (Internet Protocol) network 111 or the like. A MEMS server 120 and a power reduction request server (hereinafter referred to as DR server) 121 are also connected to the cloud 110. Among these, the DR server 121 has a function of monitoring local energy demand and issuing a power reduction request (demand response signal, hereinafter referred to as a DR signal) as necessary. The DR server 121 is operated by a host system such as an electric power company or a collective power receiving contractor.

In addition, a weather server (not shown) that distributes weather information, weather forecast data, wind speed data, and the like may be connected to the cloud 110.
The MEMS server 120 can communicate with the MEMS local 106. The MEMS server 120 manages information related to the community (apartment 101) acquired from the MEMS local 106, calculates an energy demand prediction of the electrical equipment in the apartment 101 based on this information, and an optimal operation schedule based on this prediction. It has a function to calculate. The MEMS server 120 is positioned as a center server and can receive a DR signal issued from the DR server 121.

  In the embodiment, a community is considered in which power received in a lump is distributed to a plurality of consumers. The apartment 101 is an example of this type of community. That is, the electric power consumed by the exclusive part 103 and the common use part 102 in the apartment 101 is collectively received from an electric power company, for example, by a business entity such as a developer or a collective power receiving contractor, and distributed to each consumer. The energy management system according to the embodiment can be applied to this kind of community. In the embodiment, a case is assumed in which a demand response signal (hereinafter referred to as a DR signal) that encourages reduction of power consumption has arrived in this type of community.

FIG. 3 is a functional block diagram showing a main part of the system shown in FIG. Each of the MEMS server 120 and the MEMS local 106 is a computer that performs various functions when a CPU (Central Processing Unit) executes a program stored in a memory. The functions of the MEMS server 120 and the MEMS local 106 can be realized by a stand-alone computer, or can be realized by cooperative processing of a plurality of computers.
A database (DB) 4 connected to the cloud 110 is a storage device connected to a computer, for example. The database (DB) 4 may also be provided in a stand-alone computer or may be provided in the cloud 110 in a distributed manner.

The MEMS server 120 includes an acquisition unit 120a, a calculation unit 120b, and a notification unit 120c as processing functions according to the embodiment.
The acquisition unit 120a acquires the DR signal issued from the DR server 121 to the condominium 101 (MEMS local 106) via the IP network 111 (may also pass through the cloud 110). Specifically, a method such as packet capture may be used, and the IP address of the MEMS server 120 in addition to the IP address to the MEMS local 106 may be described in the DR signal. Alternatively, the MEMS local 106 may have a function of transferring the DR signal received from the DR server 121 to the MEMS server 120.

  The calculation unit 120b calculates the order of reducing the power consumption in response to the DR signal for each consumer of the condominium 101 based on the information obtained from the DR signal and the information stored in the storage unit 4. .

  The information obtained from the DR signal means, for example, information such as date and date when the DR signal is issued, and information that can be derived from such information in addition to the information described in the DR signal itself. To do. For example, it is possible to obtain information such as whether the corresponding day is a weekday, a holiday, or a season from the date on which the DR signal requests power consumption reduction. In addition, information such as the wind speed of the day can be obtained from the weather forecast data of the day.

  Information described in the DR signal itself includes the date, time zone (daytime, nighttime, etc.) requesting reduction of power consumption, the level of reduction request (low, medium, high, etc.), the type of DR signal (electricity rate base or Information such as incentive base or multiple menus in different categories). The calculation unit 120b uses these pieces of information as conditions for calculating the rank.

The storage unit 4 stores apartment information 413 and priority information 41.
FIG. 4 is a diagram illustrating an example of the apartment information 413. In the apartment information 413, parameters (first parameter) mainly related to the structural condition of the apartment and parameters (second parameter) related to the DR signal are arranged in a matrix form, and a predetermined priority is set at the intersection of the row and the column. It is the matrix table matched.

  The first parameter includes, for example, a building (Building A, Building B, etc.), a floor, an elevator, a room orientation, a floor plan (occupation area), a household composition, etc., and these parameters are arranged vertically in FIG. . In short, the first parameter can be regarded as an attribute of the consumer. In other words, as a subordinate concept of consumer attributes, it is possible to consider mainly parameters relating to the structural conditions of apartments.

  The second parameter includes, for example, the season (summer, winter), wind speed (strong, weak), date (weekdays, holidays (holidays)), time zone (daytime, night), reduction request (large, small), etc. These parameters are arranged horizontally in FIG. In short, the second parameter can be regarded as a condition (condition or situation) related to the DR signal. That is, the apartment information 413 is a database in which the priority set for each consumer attribute is associated with each different condition.

  The apartment information 413 can be created in advance according to a predetermined policy. For example, it is possible to assume different policies such as increasing the priority according to the exclusive area of each consumer or increasing the priority according to the change rate of the living room temperature. Therefore, a plurality of apartment information 413 created based on different policies can be stored in the storage unit 4.

  In condominiums, the conditions (such as floor plans and sunshine conditions) in the exclusive areas are considered to be almost the same as in detached houses. In other words, it is difficult to simply compare multiple dwelling units such as single-family homes with different building materials for each house, some with all electrification, and some with double power generation. Compared to this, condominiums are considered to have almost the same conditions for each house, so it is considered easier to set common guidelines than for detached houses. Therefore, in the embodiment, a policy as a common guideline is set, and the apartment information 413 is created based on this policy. This is an example of utilizing the property peculiar to an apartment.

  FIG. 5 is a diagram illustrating an example of the priority information 41. The priority information 41 is a database in which the priority set according to the resident's intention is associated with each consumer. The priority information 41 includes information related to the exclusive part of the apartment (exclusive part priority information 411) and information related to the shared part (shared part priority information 412).

The exclusive part priority information 411 includes information for distinguishing the attributes of each consumer, such as a building, a floor, an elevator, a room orientation, a floor plan (exclusive area), and a room number for distinguishing consumers in the exclusive part. This database correlates household composition. A priority is set for each room number.
In the shared unit priority information 412, similar attributes are associated with, for example, a manager room, a guest room, and an EV charging stand as shared units. A priority is set for each of the manager room, the guest room, and the EV charging stand.

  The priority in FIGS. 4 and 5 is a value indicating “degree of response to DR signal”. In particular, the priority shown in FIG. 5 is set reflecting the customer's own intention. In other words, customers with higher priority figures will cooperate preferentially for power reduction requests. For example, in FIG. 5, the manager room with priority 20 cooperates with power reduction in preference to room A 201 with priority 10. In FIG. 5, priority 10 is set for the A ridge No. 201 room, the guest room, and the EV charging stand, and these customers cooperate to reduce power to the same extent. In order to avoid complications, priority 0 is left blank in FIGS.

  For example, in order to preferentially reduce the power consumption of the condominium common area, a larger numerical value than the others may be set in the common area priority information 412 in FIG. However, in the embodiment, the degree to which each consumer reduces the power consumption according to the DR signal is not fixed, and is changed according to the conditions accompanying the DR signal. The details will be described in the embodiment. In the following, for the purpose of distinction, the “priority” for each consumer that is stored in advance in the database is distinguished by referring to the degree of response to the DR signal that is finally calculated as “rank”.

Returning to FIG. 3, the calculation unit 120 b determines the response for each consumer of the apartment 101 to the DR signal based on the information obtained from the DR signal, the apartment information 413 (FIG. 4), and the priority information 41 (FIG. 5). Calculate the rank. That is, the calculation unit 120b extracts the priority corresponding to the condition based on the information obtained from the DR signal from the apartment information 413 (FIG. 4), and shows the extracted priority and the priority information 41 (FIG. 5). The order of response is calculated based on the priority level.
The notification unit 120c notifies the MEMS local 106 of the rank calculated by the calculation unit 120b via the IP network 111.

The MEMS local 106 includes a receiving unit 106a and a control unit 106b as processing functions according to the embodiment. The receiving unit 106a receives the order notified from the MEMS server 120 and passes it to the control unit 106b.
The control part 106b controls each energy consumption of the consumer of the apartment 101 based on the order notified from the MEMS server 120, and responds to the DR signal. Next, the operation of the above configuration will be described.

  FIG. 6 is a diagram schematically illustrating a processing procedure and information flow by the MEMS server 120. When a DR signal is issued from the DR server 121, the MEMS server 120 acquires the DR signal and executes an apartment area priority determination process (reference numeral 401). Prior to this, the MEMS server 120 obtains information (414) on the power reduction request date, the power reduction request amount (415), and weather information (416) on the power reduction request date such as weather and wind speed from the DR signal. To do. Based on the information and the apartment information (413), the MEMS server 120 executes the apartment area priority determination process, and calculates the apartment area priority (420).

Next, the MEMS server 120 executes final priority determination processing (402) based on the apartment area priority (420), the exclusive unit priority information (411), and the shared unit priority information (412), and the final priority. The degree (421) is calculated. As shown in the activity diagram of FIG. 7, the exclusive unit priority information (411) and the shared unit priority information (412) are issued with DR signals for the condominium 101 in the same manner as the condominium information (413). Is prepared in advance (steps S601, S602, S603).
Exclusive section priority information (411), shared section priority information (412), and apartment information (413) are each created by a user interface using a computer or the like.

  That is, the final priority (421) is the order of response for each consumer to the DR signal, and is information notified to the MEMS local 106. The MEMS local 106 calculates the electrical device of the consumer to be controlled and its control amount based on the final priority (421), and controls the electrical device based on the result.

  FIG. 8 is an activity diagram illustrating an example of a processing procedure performed by the MEMS server 120. When a DR signal that prompts the condominium 101 to reduce power consumption is issued from the DR server 121, the MEMS server 120 acquires the DR signal (step S701). The DR signal includes information such as “the power reduction request date and time of the entire condominium 101 is 13:00 to 15:00 on the next day, and the power reduction request amount is 1 kW”.

  Next, the MEMS server 120 acquires information related to the power reduction request date, such as the power reduction request amount and the power reduction request date weather information, from the received DR signal (step S702). Here, for example, information such as “date of next day: August 1, 2012, weather forecast: sunny, wind speed forecast: 5 m / s” is acquired. This information is used for the next process in comparison with the conditions (determination parameters) as shown in FIG.

FIG. 9 is a diagram illustrating an example of information obtained from the DR signal. The season, wind speed, applicable day, and time zone shown in FIG. 9 correspond to information related to the power reduction request date. The reduction request is described in the DR signal. The MEMS server 120 extracts specific information for each determination parameter shown in FIG. 9 based on these pieces of information read from the acquired DR signal. The extracted information can be summarized by item as follows, for example.
Season (summer), wind speed (medium), applicable day (weekday), time zone (daytime), reduction request (medium)
Returning to FIG. 8, next, the MEMS server 120 acquires the apartment information 413 (step S703). If there are a plurality of apartment information 413 created for each policy, the MEMS server 120 selects and acquires appropriate apartment information 413. Here, it is assumed that the apartment information 413 shown in FIG. 4 has been acquired.

  Next, the MEMS server 120 extracts parameters required to determine the apartment area priority based on the information acquired in steps S702 and S703 (step S704). That is, the condition corresponding to the acquired DR signal is extracted from the conditions related to the DR signal indicated in the apartment information 413. This will be described with reference to FIG.

  FIG. 10 is a diagram illustrating an example of apartment information extracted from the acquired DR signal. The MEMS server 120 has priority corresponding to information such as season (summer), wind speed (medium), applicable day (weekday), time zone (daytime), reduction request (medium) extracted from the apartment information 413 in step SS702. Extract the degree. That is, in step S704, values described in the dotted line column in FIG. 10 are extracted.

  Returning to FIG. 8, the MEMS server 120 next determines the priority of the apartment area (step S705). That is, the MEMS server 120 calculates the priority for each area of the apartment by summing up the values of the columns surrounded by the dotted line in FIG. 10 for each row.

For example, the area priority of a building (building A) is calculated as follows.
Condominium area priority of building (building A) = season (summer) + wind speed (medium) + applicable day (weekday) + time zone (daytime) + reduction request (medium) = (-5) + (0) + (0 ) + (0) + (0) = − 5
The priority value calculated for each area is shown in the rightmost column of FIG. According to the embodiment, it is possible to dynamically change the apartment area priority according to the condition accompanying the DR signal.

  Next, the MEMS server 120 determines the final priority, that is, the response order for each consumer (step S706). The final priority is calculated by adding the value calculated in step S705 and the value of the priority information 41 (FIG. 5) for each customer. FIG. 11 is a diagram illustrating an example of the final priority for each consumer. In FIG. 11, a table sorted in order from the customer with the highest priority is shown.

  Next, the MEMS server 120 controls the electric devices in order from the consumer with the higher rank obtained in step S706, and starts control of energy consumption for the apartment 101 (step S707). First, the control signal is given to the electrical equipment (lighting, air conditioning, etc.) with the highest rank (common part) in FIG. 11 to make the lighting darker or to increase the temperature setting (lower in winter). To reduce the power consumption.

  Next, the MEMS server 120 gives a control signal to each of the electric appliances of the next highest rank (Building A 201, Room), (Guest Room), and (EV Charging Stand), and suppresses the respective power consumption. In this way, control for suppressing power consumption is performed sequentially from consumers with higher ranks. This control is repeated until the total power reduction amount reaches 1 kWh, which is the power reduction request amount requested by the DR signal, while descending the rank sequentially. Thus, it is not necessary to carry out power reduction more than necessary by carrying out power reduction from units with high priority (order) and stopping further power reduction when the power reduction target value is reached.

  Depending on the customer, there are cases where a plurality of priorities are calculated. In FIG. 11, for example, a customer in a room direction (north side) has a priority level 5, and a customer who uses the elevator (east side) has a priority level 4. A house where both sides are established, that is, a house where the direction of the room is (north side) and the elevator (east side) is used has both priorities 5 and 4. In such a case, the higher priority level 5 is adopted.

  As described above, in this embodiment, the priority set for each area of the community (apartment 101) is associated with different conditions, and the apartment information 413 is made into a database. Priority information 41 in which the priority set based on the database is prepared. Then, when the DR signal arrives, the power reduction priority is calculated for each consumer from the apartment information 413 and the priority information 41 based on the information obtained from the DR signal, and the customer's power in the order based on the result. Reduction control was implemented. Thereby, flexible power reduction control can be realized according to the DR signal. This will be described in comparison with existing technology.

  FIG. 12 is an activity diagram (flow chart) showing an existing processing procedure in response to a DR signal. In the existing technology, when requesting power reduction to the exclusive unit 103 in the apartment 101, the power consumption of each consumer is measured and extracted (step S501), and the reduction of each consumer is performed by proportional distribution based on this power consumption. The amount of electric power is calculated (step S502), and the electric equipment for each customer is controlled based on the amount of reduced electric power for each house (step S503). In other words, since the amount of power reduction for each house is calculated based on a fixed criterion focusing on power consumption, consumers who are required to reduce power are likely to be fixed.

On the other hand, according to the embodiment, it becomes possible to flexibly change the customer who is the target of the power reduction according to the condition accompanying the DR signal, and the unfairness among the customers can be eliminated. The benefits can be obtained.
That is, in the first embodiment, paying attention to the characteristics of a community called a condominium that has relatively similar (attributes) such as the floor plan and exclusive area of a residence, a database is created by associating the priority of power reduction with the attribute of each consumer. (Condominium information), by taking these into account when selecting a consumer, it is possible to respond flexibly to the DR signal. According to the first embodiment, unlike the existing method of selecting consumers based only on power consumption, it is possible to reduce the bias of power reduction among consumers by taking into account condominium information. Become.

  Furthermore, since it is possible to dynamically change the consumers who request reduction based on information obtained from the DR signal, it is possible to further reduce the bias of power reduction. Furthermore, according to the first embodiment, in addition to the apartment information, a database (priority information) in which priority is set reflecting the resident's intention is used together. It is also possible to reflect the individual will of the residents. From these facts, according to the embodiment, it is possible to provide an energy management apparatus and an energy management method that can reduce the bias among consumers related to the reduction of power consumption.

[Second Embodiment]
In the second embodiment, the handling of a policy when creating the apartment information 413 will be described. The apartment information 413 is created according to a policy set in advance for each apartment. That is, the area priority of the condominium information 413 is set to a value based on a predetermined policy with respect to the condition related to the DR signal for each customer or area. In the following, four policies will be described as examples.

  (Policy 1): Policy 1 is a policy that increases the area priority according to the power consumption per unit area. Under this policy, when there are a plurality of dwelling units with the same power consumption, the priority of dwelling units with a large power consumption per unit area is increased. This increases the priority of dwelling units with a small footprint under the same power consumption.

  (Policy 2): Policy 2 is a policy that increases the area priority according to the power consumption per resident. Under this policy, the priority is set high according to the value obtained by dividing the power consumption by the number of residents. If there are a plurality of dwelling units with the same power consumption, the dwelling unit with fewer residents has a higher priority.

(Policy 3): Policy 3 is a policy of increasing the area priority according to the daily temperature change rate in a room with the maximum floor area. Under this policy, the higher the daily temperature change rate of the room with the largest floor area, the higher the priority.
The room with the largest floor area is likely to be used as a living room in each dwelling unit. Such a room temperature change rate is considered to reflect the operating rate of the air conditioner. In other words, it can be considered that a dwelling unit with a large temperature change rate in a day has a high operating rate of the air conditioner and a large amount of power consumption. Therefore, the power is preferentially reduced by setting the priority of such dwelling units high.

  The high availability of air conditioners is the reverse of the long period of discomfort from the resident's perspective. Therefore, in consideration of comfort, the priority of the dwelling unit having a low air conditioner operating rate may be increased. In this way, it is possible to make the occupant's comfort fair. However, in this case, there is a high possibility that the amount of power reduction per unit will be smaller than that of a dwelling unit with a high air-conditioner operating rate. Therefore, it responds by increasing the number of dwelling units to be controlled for power reduction. In applying policy 3, from the viewpoint of comfort, it is preferable to consider in advance how to set the priority according to the level of the air conditioner operating rate.

  (Policy 4): The policy 4 is a policy of increasing the area priority of a customer having a specific electrical device. Under this policy, for example, when multiple electrical devices installed in the same apartment, such as elevators, lighting, air conditioners, and EV charging stands, are the same, it is possible to meet the power reduction request by raising the priority of some devices. Make it compatible.

Below, an example of the apartment information which considered policies 1-4 is shown.
[Building]: Building A, which is sunny, is set as summer (−5) in consideration of the comfort of policy 3.
[Floor]: The top floor is set to summer (−3) in consideration of the comfort of policy 3.
[Elevator]: Apply policy 4 and set summer (4).

  [Orientation of the room]: The dwelling unit on the south side applies policy 4 and sets summer (−4).

[Room layout (occupied area)]: The 3LDK dwelling unit applies policy 1 and sets reduction request (large) (3).
[Household composition]: One dwelling unit applies policy 2 and sets it to night (3).

  Policies can be freely created for each condominium consumer. As described above, by considering various policies in creating the database, for example, it is possible to obtain a merit that it is easy to obtain consensus among residents regarding reduction of energy consumption.

[Third Embodiment]
FIG. 13 is a block diagram illustrating an example of an energy management system according to the third embodiment. In FIG. 13, parts common to FIG. 2 are given the same reference numerals, and only different parts will be described here.
In FIG. 2, the MEMS local 106 is provided for each apartment 101. In other words, the MEMS local 106 is exclusively used for controlling the apartment 101. The form of the system according to the present invention is not limited to this, and the form shown in FIG. 13 is also possible.

  FIG. 13 shows a mode in which a plurality of condominiums 201, 202, and 203 are controlled by one MEMS local 204 connected to the cloud 120. The apartments 201 to 203 may be different buildings (A building, B building, C building) belonging to the same community, or may be apartments belonging to different communities.

In addition, the MEMS local 214, the MEMS local 215, and the MEMS local 216 that respectively control the apartment 211 (D building), the apartment 212 (E building), and the apartment 213 (F building) are connected to the cloud 110 and You may make it manage the apartment of F building comprehensively. This type of configuration is an example in which a so-called integrated BEMS system is applied to MEMS, and future development is expected.
In the form of FIG. 13, a policy relating to the determination of priority may be prepared for each apartment, or the policy can be used in common among a plurality of apartments.
The present invention is not limited to the above embodiment. For example, the community is not limited to the form of a condominium, but can include a local community, a community mainly including a low-rise residential area, or a tenant of a building.
In FIG. 2, the MEMS server 120 can have the function of the DR server 121. Further, the MEMS local 106 can have the function of the MEMS server 120. In this way, the system can be tolerated against physical communication failures between servers.

  Also, depending on the conditions, it is assumed that the final priority (ranking) becomes an excessively large value. In preparation for such a situation, an upper limit may be set for the final priority. In this way, even in special conditions, it is possible to level out the bias of the power reduction request.

  Although several embodiments of the present invention have been described, these embodiments are presented by way of example and are not intended to limit the scope of the invention. These novel embodiments can be implemented in various other forms, and various omissions, replacements, and changes can be made without departing from the scope of the invention. These embodiments and modifications thereof are included in the scope and gist of the invention, and are included in the invention described in the claims and the equivalents thereof.

  DESCRIPTION OF SYMBOLS 101 ... Condominium, 102 ... Shared part, 103 ... Exclusive part, 104 ... Elevator, 105 ... Charging stand, 106 ... MEMS local, 111 ... IP network, 110 ... Cloud computing system, 120 ... MEMS server, 121 ... Power reduction request Server, 4 Storage unit, 413 Apartment information, 41 Priority information, 120a ... Acquisition unit, 120b ... Calculation unit, 120c ... Notification unit, 106a ... Reception unit, 106b ... Control unit, 201, 202, 203, 211 , 212, 213 ... condominium, 204, 214, 215, 216 ... MEMS local.

Claims (18)

A storage unit that stores an area information database that associates area priorities set for each attribute of a plurality of consumers for different conditions;
In response to a power reduction request to the community to which the plurality of consumers belong, a calculation unit that calculates the rank for each of the consumers that reduces power consumption based on the area information database;
An energy management device comprising: a control unit that controls energy consumption of the consumer based on the ranking. The calculation unit includes:
Extracting an area priority corresponding to the condition indicated in the reduction request from the area information database;
2. The energy management device according to claim 1, wherein the rank is calculated based on the extracted area priority. The storage unit
Furthermore, an individual information database in which individual priorities set in accordance with residents' intentions are associated with each consumer is stored,
The calculation unit includes:
The energy management device according to claim 2, wherein the rank is calculated based on the extracted area priority and the individual priority.   The energy management device according to any one of claims 1 to 3, wherein the area priority is set to a value based on a predetermined policy for the condition.   The energy management apparatus according to claim 4, wherein the policy is a policy of increasing the area priority according to power consumption per unit area.   The energy management apparatus according to claim 4, wherein the policy is a policy of increasing the area priority according to power consumption per resident.   The energy management apparatus according to claim 4, wherein the policy is a policy of increasing the area priority according to a daily temperature change rate in a room having a maximum floor area.   The energy management apparatus according to claim 4, wherein the policy is a policy of increasing the area priority of a consumer including a specific electrical device.   The energy management device according to claim 1, further comprising a notification unit that notifies the calculated rank to a local server that can communicate with the plurality of consumers. An energy management method for responding to a power reduction request to a community to which a plurality of consumers belong,
Calculating a rank for each consumer that reduces power consumption based on an area information database that associates area priorities set for each attribute of the plurality of consumers for different conditions;
Controlling energy consumption of the consumer based on the ranking. Said calculating is
Extracting an area priority corresponding to the condition indicated in the reduction request from the area information database;
The energy management method according to claim 10, comprising calculating the rank based on the extracted area priority. Said calculating is
The ranking is calculated based on the extracted area priority and the individual priority of an individual information database in which an individual priority set according to a resident's intention is associated with each consumer. Item 12. The energy management method according to Item 11.   The energy management method according to any one of claims 10 to 12, wherein the area priority is set to a value based on a predetermined policy for the condition.   The energy management method according to claim 13, wherein the policy is a policy of increasing the area priority according to power consumption per unit area.   The energy management method according to claim 13, wherein the policy is a policy of increasing the area priority according to a power consumption per resident.   The energy management method according to claim 13, wherein the policy is a policy of increasing the area priority according to a daily temperature change rate in a room having a maximum floor area.   The energy management method according to claim 13, wherein the policy is a policy of increasing the area priority of a customer including a specific electrical device.   The energy management method according to claim 10, further comprising notifying the calculated rank to a local server that can communicate with the plurality of consumers.