JP6271260B2 - Energy management apparatus and energy management method - Google Patents

Description

  The present invention relates to an energy management apparatus and an energy management method for managing energy consumption of equipment.

  2. Description of the Related Art In recent years, an energy management system (EMS) that manages energy consumption of a plurality of facilities has attracted attention. Such energy management systems include HEMS (HOME Energy Management System) installed in houses, BEMS (Building Energy Management System) installed in buildings, and FEMS (Factory Energy Management) installed in factories and factories installed in factories. (Store Energy Management System).

  Here, the energy management system visualizes the energy consumption of each facility, controls the energy consumption of each facility, and the like. When the total energy consumption amount of each facility exceeds a predetermined threshold, for example, the energy management system instructs reduction of the energy consumption amount of the air conditioning facility (for example, Patent Document 1).

JP 2005-261050 A

  As described above, when the total energy consumption of each facility exceeds a predetermined threshold, the energy management system instructs reduction of the energy consumption of the air conditioning facility (hereinafter, automatic control).

  However, in the energy management system described above, for example, attention is paid only to the reduction of the energy consumption of the air conditioning equipment, and other equipment (for example, a cold case equipment, etc.) that is affected by the reduction of the energy consumption of the air conditioning equipment. ) Energy consumption is not fully considered.

  Therefore, it is also conceivable that the energy consumption of other facilities will increase by reducing the energy consumption of the air conditioning facility. As a result, there is a concern that the total energy consumption of each of the plurality of facilities cannot be sufficiently reduced.

  Therefore, the present invention has been made to solve the above-described problems, and it is possible to reduce the total energy consumption of a plurality of facilities by appropriately controlling the energy consumption of the air conditioning facilities. An energy management apparatus and an energy management method are provided.

  A first feature is an energy management device that manages energy consumption of a plurality of facilities including at least an air conditioning facility and an affected facility, and controls the air conditioning facility with a first capability as a cooling capability of the air conditioning facility. A controller for instructing the air conditioner to execute a mode or a second mode of controlling the air conditioner with a second capacity stronger than the first capacity as a cooling capacity of the air conditioner; The gist is that the energy consumption of the affected equipment is affected by the fluctuation of the cooling capacity of the air conditioning equipment.

  In the first feature, the energy management device uses the energy consumption of the air conditioning equipment in the case of controlling the air conditioning equipment according to the second mode, compared to the case of controlling the air conditioning equipment according to the first mode. And a storage unit that stores a specific condition for reducing the total energy consumption of the affected equipment, and the control unit is configured to control the current condition when actually controlling the air conditioning equipment matches the specific condition. The air conditioning equipment is instructed to execute the second mode.

  1st characteristic WHEREIN: The said control part is the track record of the energy consumption extracted from the driving | operation track record of the said air conditioning equipment and the said affected equipment in the past before the timing which actually controls the said air conditioning equipment. Based on the value, the specific condition is learned.

  In the first feature, the control unit learns the specific condition according to a low resolution mode using a first sampling period as a sampling period for extracting the actual value of the energy consumption from the operation result, or the first The specific condition is learned in accordance with a high resolution mode using a second sampling period shorter than one sampling period.

  A second feature is an energy management method for managing energy consumption of a plurality of facilities including at least an air conditioning facility and an affected facility, wherein the air conditioning facility is controlled with a first capability as a cooling capability of the air conditioning facility. Or a second mode of controlling the air conditioning equipment with a second capacity stronger than the first capacity as a cooling capacity of the air conditioning equipment, and the energy consumption amount of the affected equipment is The gist of the invention is that it is influenced by fluctuations in the cooling capacity of the air conditioning equipment.

  According to the present invention, it is possible to provide an energy management apparatus and an energy management method capable of reducing the total energy consumption of each of a plurality of facilities by appropriately controlling the energy consumption of the air conditioning facility. it can.

FIG. 1 is a diagram illustrating a power management system 100 according to the first embodiment. FIG. 2 is a diagram illustrating the server power management apparatus 40 according to the first embodiment. FIG. 3 is a diagram for explaining learning of specific conditions according to the first embodiment. FIG. 4 is a diagram for explaining learning of specific conditions according to the first embodiment. FIG. 5 is a diagram for explaining learning of specific conditions according to the first embodiment. FIG. 6 is a diagram for explaining learning of specific conditions according to the first embodiment. FIG. 7 is a diagram for explaining learning of specific conditions according to the first embodiment. FIG. 8 is a diagram for explaining learning of specific conditions according to the first embodiment. FIG. 9 is a diagram illustrating an energy management method according to the first embodiment.

  Hereinafter, an energy management system according to an embodiment of the present invention will be described with reference to the drawings. In the following description of the drawings, the same or similar parts are denoted by the same or similar reference numerals.

  However, it should be noted that the drawings are schematic and ratios of dimensions and the like are different from actual ones. Therefore, specific dimensions and the like should be determined in consideration of the following description. Moreover, it is a matter of course that portions having different dimensional relationships and ratios are included between the drawings.

[Outline of Embodiment]
The energy management device according to the embodiment manages energy consumption of a plurality of facilities including at least an air conditioning facility and an affected facility. The energy management apparatus executes the first mode in which the air conditioning equipment is controlled with the first capacity as the cooling capacity of the air conditioning equipment, or the air conditioning with the second capacity stronger than the first capacity as the cooling capacity of the air conditioning equipment. A control unit is provided that instructs the air conditioning facility to execute the second mode for controlling the facility. The energy consumption of the affected equipment is affected by fluctuations in the cooling capacity of the air conditioning equipment.

  In the embodiment, not only the first mode in which the air conditioning equipment is controlled with the first ability but also the second mode in which the air conditioning equipment is controlled with the second ability stronger than the first ability is introduced. In other words, if necessary, the second mode is instructed to the air conditioning equipment to increase the power consumption of the air conditioning equipment, while reducing the power consumption of the affected equipment, thereby reducing the power consumption and impact of the air conditioning equipment. The total power consumption of the equipment can be reduced. That is, by properly controlling the energy consumption of the air conditioning equipment, the total energy consumption of each of the plurality of equipments can be reduced.

[First Embodiment]
(Energy management system)
Hereinafter, the energy management system according to the first embodiment will be described. FIG. 1 is a diagram illustrating a power management system 100 according to the first embodiment.

  As shown in FIG. 1, the power management system 100 includes a plurality of facilities 10, a plurality of sensors 20, a plurality of local power management devices 30, and a server power management device 40.

  In the first embodiment, as an example of an energy management system, a system that manages power is mainly exemplified. However, the embodiment is not limited to this, and the power management system 100 may manage energy other than electric power (for example, gas). Therefore, “electric power” may be read as “energy”.

  The facility 10 is a facility that consumes energy such as electric power or gas. The facility 10 is, for example, an air conditioning facility, a lighting facility, a cold case facility, or the like. For example, the facility 10A is provided in the facility A, and the facility 10B is provided in the facility B. The facility A and the facility B are operated by the same capital group, for example.

  In the first embodiment, the facility 10 includes at least an air conditioning facility and an affected facility. The power consumption of the affected equipment is affected by fluctuations in the cooling capacity of the air conditioning equipment. The affected equipment is, for example, a cold case equipment. Since the power consumption of the cold case equipment is affected by the room temperature, it is affected by fluctuations in the cooling capacity of the air conditioning equipment.

  The equipment 10 may include equipment 10 that can be controlled by automatic control and equipment 10 that cannot be controlled by automatic control to be described later. The automatic control of the facility 10 is a process for controlling the accumulated value of the power consumption for a predetermined period (for example, 30 minutes) so as not to exceed a predetermined threshold (target value) in each facility. Alternatively, the automatic control of the facility 10 is a process of automatically controlling the power consumption of the facility 10 so that the total value of the power consumption does not exceed a predetermined threshold (target value).

  The sensor 20 detects information necessary for management of the facility 10. For example, the sensor 20 is a power sensor that detects the power consumption of the facility 10. When the facility 10 is an air conditioning facility, the sensor 20 is a temperature sensor that detects the temperature of the outside air in the space (area) where the air conditioning facility is installed or the facility, the space (area) where the air conditioning facility is installed, or the facility. It is a humidity sensor that detects the humidity of outside air. When the facility 10 is a cold case facility, the sensor 20 is a temperature sensor that detects the temperature in the cold case facility. For example, the sensor 20A is provided in the facility A, and the sensor 20B is provided in the facility B.

  The local power management device 30 manages the facility 10 connected by the LAN 80. Specifically, the local power management device 30 is connected to the facility 10 and the sensor 20 via the LAN 80, and manages the power consumption of the facility 10 based on information detected by the sensor 20. For example, the local power management device 30A is provided in the facility A and manages the facility 10A connected by the LAN 80A. The local power management device 30B is provided in the facility B and manages the facility 10B connected by the LAN 80B.

  In the first embodiment, the local power management device 30 controls the operation mode of the facility 10 according to the control signal received from the server power management device 40.

  The server power management device 40 is connected to each local power management device 30 via the WAN 90, and manages the energy consumption of a plurality of facilities including at least air conditioning equipment and affected equipment via each local power management device 30. To do.

  In the first embodiment, the server power management device 40 executes the first mode in which the air conditioning equipment is controlled with the first capacity as the cooling capacity of the air conditioning equipment, or the air power equipment cooling capacity is stronger than the first capacity. The second mode for controlling the air conditioning equipment with two capacities is executed.

(Energy management device)
Hereinafter, the energy management device according to the first embodiment will be described. FIG. 2 is a diagram illustrating the server power management apparatus 40 according to the first embodiment. In the first embodiment, the server power management device 40 is an example of an energy management device.

  As illustrated in FIG. 2, the server power management apparatus 40 includes a communication unit 41, a storage unit 42, and a control unit 43.

  The communication unit 41 is a communication module that performs communication via the WAN 90. The communication unit 41 receives the operation state of the facility 10 and information detected by the sensor 20 from the local power management device 30. The communication unit 41 transmits a control signal for controlling the operation of the facility 10 to the local power management device 30.

  The storage unit 42 stores information received from the local power management device 30. For example, the storage unit 42 stores the power consumption of the facility 10 cumulatively. Alternatively, the storage unit 42 stores operation results (control signal history and the like) for the facility 10. The storage unit 42 stores the operation results (power consumption history) of at least the air conditioning equipment and the affected equipment.

  In the first embodiment, the storage unit 42 controls the power consumption of the air conditioning equipment and the affected equipment in the case where the air conditioning equipment is controlled according to the second mode, compared to the case where the air conditioning equipment is controlled according to the first mode. Stores a specific condition for reducing the total power consumption. The specific condition is defined by one or more parameters selected from, for example, a period (week or season) in which a day, a month, and a month are divided into a predetermined number, a temperature outside the facility, a humidity outside the facility, a weather, and a season. The

  The control unit 43 manages the server power management apparatus 40. For example, the control unit 43 executes the first mode of controlling the air conditioning equipment with the first capacity as the cooling capacity of the air conditioning equipment, or sets the air conditioning equipment with the second capacity stronger than the first capacity as the cooling capacity of the air conditioning equipment. The second mode to be controlled is executed.

  For example, the first mode is determined in advance by factors such as target power consumption and QoL (Quality of Life), considering only the air conditioning equipment. The first mode may be set by the user, or may be automatically set based on a past history or the like.

  It is preferable that the control unit 43 instructs the air conditioning facility to execute the second mode when the current condition when actually controlling the air conditioning facility matches the specific condition. On the other hand, it is preferable that the control unit 43 instructs the air conditioner to execute the first mode when the current condition when actually controlling the air conditioner does not match the specific condition. Thereby, the total of the power consumption of the air conditioning equipment and the power consumption of the affected equipment can be reduced.

  In 1st Embodiment, the control part 43 is based on the actual value of the power consumption extracted from the driving | operation performance of an air conditioning facility and an affected facility in the past before the timing which actually controls an air conditioning facility. It is preferable to learn specific conditions.

  As a mode for learning the specific condition, a low resolution mode and a high resolution mode can be considered. The low resolution mode is a mode in which the first sampling period is used as a sampling period for extracting the actual value of the power consumption from the operation result. The high resolution mode is a mode in which a second sampling period shorter than the first sampling period is used as a sampling period for extracting the actual value of power consumption from the operation results.

(Low differentiation mode)
In the following, the low differentiation mode will be described with reference to FIGS. 3 and 4. 3 and 4 exemplify a case where the affected facility is a cold case facility.

  The sampling period in the low resolution mode is, for example, one day. In such a case, the learning period is preferably several tens of days in order to improve the accuracy of determining whether or not the condition associated with the learning period is stored as the specific condition.

  Specifically, when the air conditioning equipment is controlled according to the second mode during the learning period, the power consumption of the air conditioning equipment (hereinafter referred to as air conditioning power consumption) and the power consumption of the cold case equipment (hereinafter referred to as cold case power consumption). ) Is shown in FIG. In FIG. 3, the horizontal axis is a time axis.

  If the correlation between the air-conditioning power consumption and the cold case power consumption is expressed based on the data shown in FIG. 3, the correlation shown in FIG. 4 is obtained. In FIG. 4, the horizontal axis represents air conditioning power consumption, and the vertical axis represents cold case power consumption.

  As shown in FIG. 4, when a strong negative correlation is obtained between the air-conditioning power consumption and the cold case power consumption, the control unit 43 uses the condition associated with the learning period as a specific condition, and stores the storage unit 42. To store. Here, when a strong negative correlation is not obtained between the air conditioning power consumption and the cold case power consumption, the control unit 43 stores the condition associated with the learning period in the storage unit 42 as a specific condition. do not do.

  In the low resolution mode, since the learning period is several tens of days, the specific condition is preferably defined by, for example, a period (week or season) in which the month is divided into a predetermined number, month, or season. In addition to the above-described conditions, the specific condition may be defined by one or more parameters selected from the temperature outside the facility, the humidity outside the facility, and the weather.

(High differentiation mode)
Hereinafter, the high differentiation mode will be described with reference to FIGS. 5 to 8 exemplify cases where the affected equipment is a cold case equipment.

  The sampling period in the high resolution mode is, for example, 1 hour. In such a case, since the number of samplings is increased as compared with the low resolution mode, the learning period may be shorter than the period required in the low resolution mode (for example, about several days to several weeks). One day is enough. Even if the learning period is one day, sufficient accuracy can be obtained for determining whether or not the condition associated with the learning period is stored as the specific condition.

  Specifically, when the air conditioning equipment is controlled according to the second mode during the learning period, the power consumption of the air conditioning equipment (hereinafter referred to as air conditioning power consumption) and the power consumption of the cold case equipment (hereinafter referred to as cold case power consumption). ) Is shown in FIG. In FIG. 5, the horizontal axis is a time axis.

  When the correlation between the air-conditioning power consumption and the cold case power consumption is expressed based on the data shown in FIG. 5, the correlation shown in FIG. 6 is obtained. In FIG. 6, the horizontal axis represents the air conditioning power consumption, and the vertical axis represents the cold case power consumption.

  As shown in FIG. 6, it seems that a strong negative correlation cannot be obtained between the air-conditioning power consumption and the cold case power consumption. However, there is a time lag between the timing when the cooling capacity of the air conditioning equipment fluctuates and the timing when the power consumption of the cooling case equipment fluctuates according to the fluctuation of the cooling capacity of the air conditioning equipment.

  Therefore, in consideration of such a time lag, it is necessary to shift the relative positions of the air conditioning power consumption and the cold case power consumption on the time axis. For example, it is conceivable to shift the air-conditioning power consumption to a time later by the time lag than the cold case power consumption. Alternatively, it is conceivable to shift the cold case power consumption to a time earlier than the air conditioning power consumption by a time lag. It should be noted that the time lag can be specified in advance according to the cooling capacity of the air conditioning equipment, the positional relationship between the air conditioning equipment and the cooling case, the scale of the facility where the air conditioning equipment is provided, and the like.

  FIG. 7 shows a result of shifting the relative positions of the air conditioning power consumption and the cold case power consumption on the time axis based on the data shown in FIG. In FIG. 7, the horizontal axis is a time axis. When the correlation between the air conditioning power consumption and the cold case power consumption is expressed based on the data shown in FIG. 7, the correlation shown in FIG. 8 is obtained. In FIG. 8, the horizontal axis represents the air conditioning power consumption, and the vertical axis represents the cold case power consumption.

  As shown in FIG. 8, when a strong negative correlation is obtained between the air-conditioning power consumption and the cold case power consumption, the control unit 43 uses the condition associated with the learning period as the specific condition. To store. Here, when a strong negative correlation is not obtained between the air conditioning power consumption and the cold case power consumption, the control unit 43 stores the condition associated with the learning period in the storage unit 42 as a specific condition. do not do.

  In the high resolution mode, since the learning period is about one day, the specific condition can be defined by day, for example. However, as in the low resolution mode, the specific condition is preferably defined by a period (week or season), month or season in which the month is divided into a predetermined number. In addition to the above-described conditions, the specific condition may be defined by one or more parameters selected from the temperature outside the facility, the humidity outside the facility, and the weather.

(Energy management method)
Hereinafter, an energy management method according to the first embodiment will be described. FIG. 9 is a diagram illustrating an energy management method according to the first embodiment. Here, FIG. 9 is a flowchart showing processing of the server power management apparatus 40.

  As shown in FIG. 9, in step S <b> 10, the server power management apparatus 40 determines whether or not the current condition when actually controlling the air conditioning equipment matches the specific condition. When the determination result is NO, the server power management apparatus 40 proceeds to the process of step S20. On the other hand, the server power management apparatus 40 proceeds to the process of step S30 when the determination result is YES.

  In step S20, the server power management apparatus 40 instructs the air conditioning equipment to execute the first mode in which the air conditioning equipment is controlled with the first capacity as the cooling capacity of the air conditioning equipment.

  In step S30, the server power management apparatus 40 instructs the air conditioning equipment to execute the second mode in which the air conditioning equipment is controlled with a second capacity stronger than the first capacity as the cooling capacity of the air conditioning equipment.

  As described above, in the first embodiment, not only the first mode in which the air conditioning equipment is controlled with the first ability but also the second mode in which the air conditioning equipment is controlled with the second ability stronger than the first ability is introduced. . In other words, if necessary, the second mode is instructed to the air conditioning equipment to increase the power consumption of the air conditioning equipment, while reducing the power consumption of the affected equipment, thereby reducing the power consumption and impact of the air conditioning equipment. The total power consumption of the equipment can be reduced. That is, by properly controlling the energy consumption of the air conditioning equipment, the total energy consumption of each of the plurality of equipments can be reduced.

  In the first embodiment, since the specific condition is learned based on the actual value of power consumption, the location of the facility where the air conditioning equipment is provided, the scale of the facility where the air conditioning equipment is provided, the positional relationship between the air conditioning equipment and the cold case, etc. The specific conditions can be appropriately determined while reflecting the above.

  In the first embodiment, as a mode for learning the specific condition, a high resolution mode is introduced in addition to the low resolution mode. In the high resolution mode, a correlation between the air-conditioning power consumption and the cold case power consumption is determined in consideration of the time lag. As a result, the specific condition can be learned while maintaining a certain accuracy in a shorter learning period than in the low resolution mode.

[Other Embodiments]
Although the present invention has been described with reference to the above-described embodiments, it should not be understood that the descriptions and drawings constituting a part of this disclosure limit the present invention. From this disclosure, various alternative embodiments, examples and operational techniques will be apparent to those skilled in the art.

  In the embodiment, the case where the server power management apparatus 40 centrally manages the plurality of local power management apparatuses 30 is illustrated. However, the embodiment is not limited to this. For example, each local power management apparatus 30 may instruct the air conditioning equipment to execute the first mode or the second mode in a self-supporting and distributed manner.

  In the embodiment, the case where the affected facility is a cold case facility is exemplified, but the embodiment is not limited thereto. The affected equipment may be equipment affected by room temperature or the like.

  In the embodiment, the specific condition is determined by learning, but the embodiment is not limited to this. The specific condition may be determined in advance by a theoretical value.

  DESCRIPTION OF SYMBOLS 10 ... Equipment, 20 ... Sensor, 30 ... Local power management apparatus, 40 ... Server power management apparatus, 41 ... Communication part, 42 ... Storage part, 43 ... Control part, 80 ... LAN, 90 ... WAN

Claims (4)

An energy management device for managing energy consumption of a plurality of facilities including at least a first facility and a second facility having at least a cooling capacity ,
Execution of the first mode for controlling the first facility in the first capability as cooling capacity of the first equipment, or the first equipment with a strong second capability than the first ability as the cooling capacity of the first facilities the execution of the second mode for controlling a control unit for instructing the first facility,
Compared to the case where the first equipment is controlled according to the first mode, the case where the first equipment is controlled according to the second mode, the energy consumption of the first equipment and the energy consumption of the second equipment. A storage unit for storing a specific condition for reducing the total amount,
The control unit instructs the first equipment to execute the first mode when a current condition when actually controlling the first equipment does not match the specific condition, and the current condition is the specific condition. The energy management apparatus is configured to instruct the first facility to execute the second mode when the two are matched . Wherein, in the first prior facilities actually temporally than the control timing past, based on the actual value of the energy consumption to be extracted from the first facility and the second facility of the operating performance the energy management device according to claim 1, characterized in that to learn the specific condition. The control unit learns the specific condition according to the low resolution mode using the first sampling period as a sampling period for extracting the actual value of the energy consumption from the operation result, or is shorter than the first sampling period. The energy management apparatus according to claim 2 , wherein the specific condition is learned according to a high resolution mode using a second sampling period. An energy management method for managing energy consumption of a plurality of facilities including at least a first facility and a second facility having at least a cooling capacity ,
Performing a first mode for controlling the first facility in the first capability as cooling capacity of the first equipment, or the first in the first equipment strong second capability than the first ability as a cooling capacity of Executing a second mode for controlling the equipment ;
Compared to the case where the first equipment is controlled according to the first mode, the case where the first equipment is controlled according to the second mode, the energy consumption of the first equipment and the energy consumption of the second equipment. A step B for storing a specific condition for the total amount to decrease;
The step A instructs the first equipment to execute the first mode when the current condition when actually controlling the first equipment does not match the specific condition, and the current condition is the specific condition. And a step of instructing the first equipment to execute the second mode when the condition is satisfied .

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