JP6004709B2 - Energy saving support system, server device, energy saving support method and program - Google Patents

Description

The present invention, energy saving support system, servers apparatus, an energy saving support method, and a program.

  While there are concerns about the deterioration of the global environment due to global warming, efforts are being made worldwide to reduce carbon dioxide emissions. In Japan, the so-called Energy Conservation Act (“Law Concerning Rational Use of Energy”) was revised in fiscal 2008 to promote energy conservation efforts more strongly. There is a strong demand.

  For example, Patent Document 1 describes a demand control system for an electric device for saving power to an appropriate level according to the actual operating status of each air conditioner. The demand control system for electrical equipment includes a plurality of objects having an air conditioner and a controller for controlling the air conditioner, and a controller for the plurality of objects through a predetermined communication path to supply one or a plurality of predetermined power supplies. A centralized calculation center that instructs the controller to control the power consumption (demand) of the air conditioner in response to a request from the source.

  The controller aggregates the driving status of the air conditioner in each property and sends it to the centralized calculation center. When the central calculation center sends a peak cut command to each controller, it is said that if the air conditioner stops within 3 minutes, it is said that the comfort will not be impaired. , Power control of air conditioner is performed in the whole area.

JP 2002-010532 A

  In the revised energy saving law, for example, it is required to keep the total demand of businesses having scattered establishments below a target value. In order to continue such demand control of business operators, it is important to eliminate the unfairness of those in each business office.

  In the demand control system for electrical equipment described in Patent Document 1, consideration is given to the comfort of the residents of the property. However, when demand control is performed at scattered business establishments using this electrical equipment demand control system, there is a difference in the comfort of the people at each business office, which causes the people at each business office to feel unfair. There is a possibility of embrace.

  The present invention has been made to solve the above-described problems, and can be controlled so that the comfort of persons at each office is fair and the total demand is less than the target value. The purpose is to provide a simple energy saving support system.

In order to achieve the above object, an energy saving support system according to the present invention includes:
A facility controller installed in each of a plurality of business establishments, and a server device connected to each of the facility controllers via a communication network;
Each of the equipment controllers is
Plan data receiving means for receiving plan data including the operation schedule of the equipment to be controlled from the server device;
Facility control means for controlling the facility equipment to be controlled based on the received plan data;
Power consumption collection means for collecting power consumption by equipment installed in the same office;
A comfort calculation means for calculating a comfort index representing the comfort of the establishment based on environmental data related to the comfort of the installed establishment;
Establishment data transmission means for transmitting establishment data including the collected power consumption by the equipment and the calculated comfort index to the server device;
The server device
Establishment data receiving means for receiving establishment data transmitted from each facility controller;
A predicted total demand calculating means for calculating a predicted total demand that is a total power consumed at each of the establishments when the comfort index is equal at each of the establishments based on the received establishment data;
Target total demand storage means for preliminarily storing target total demand data indicating target total demand, which is a target value of total power consumed at the plurality of establishments;
An operation schedule determining means for determining an operation schedule of the equipment to be controlled so that the calculated predicted total demand is equal to or less than the target total demand;
And a plan data transmitting unit configured to transmit plan data including the determined operation schedule to the corresponding equipment controller.

  According to the present invention, the predicted total demand is calculated based on the collected power consumption and the calculated comfort index, and the control target installed in each business office so that the predicted total demand is equal to or less than the target total demand. Determine the operation schedule of the equipment. Then, the control target equipment installed in each business office is controlled based on the determined operation schedule. Therefore, it is possible to control the equipment to be controlled so that the comfort at each business office is the same level and the total demand of the plurality of business offices is equal to or less than the target total demand. Therefore, it becomes possible to control so that the comfort of the person in each office becomes fair, and the total demand becomes equal to or less than the target value.

It is a figure which shows the whole structure of the energy saving assistance system which concerns on Embodiment 1 of this invention. It is a figure which shows an example of target total demand data. It is a figure which shows an example of weather prediction data. It is a figure which shows an example of establishment data. It is a figure which shows the structure of the equipment controller which concerns on Embodiment 1. FIG. It is a figure which shows an example of the plan data which concern on Embodiment 1. FIG. It is a flowchart which shows the flow of an office data collection process. It is a flowchart which shows the flow of a driving schedule determination process. It is a figure which shows the example of the change of the prediction total demand accompanying the change of PMV. It is a flowchart which shows the flow of the equipment control process which concerns on Embodiment 1. FIG. It is a figure which shows the structure of the server apparatus which concerns on Embodiment 2. FIG. It is a figure which shows the structure of the equipment controller which concerns on Embodiment 2. FIG. It is a figure which shows an example of the plan data which concern on Embodiment 2. It is a flowchart which shows the flow of the equipment control process which concerns on Embodiment 2. FIG. It is a figure which shows the example of the change of a demand and PMV when a demand priority process is performed. It is a figure which shows the example of a change of a demand and PMV when a comfort restriction | limiting process is performed. It is a figure which shows the structure of the server apparatus which concerns on Embodiment 3. FIG. It is a figure which shows an example of PMV difference data. It is a figure which shows an example of demand difference data. It is a figure which shows the structure of the equipment controller which concerns on Embodiment 3. FIG. It is a flowchart which shows the flow of a notification process. It is a flowchart which shows the flow of a driving schedule correction process. It is a figure which shows the example of the change of the demand and PMV at the time of receiving the accommodation of a target establishment demand.

  Embodiments of the present invention will be described below with reference to the drawings. The same elements are denoted by the same reference symbols throughout the drawings. In addition, overlapping description of the same elements is omitted.

Embodiment 1. FIG.
As shown in FIG. 1, an energy saving support system 100 according to Embodiment 1 of the present invention is a system for supporting energy saving at each office, and includes a server device 102 and an equipment controller installed at each office. 104.

  Each facility controller 104 and the server apparatus 102 are connected via a communication network 106 of a wired system, a wireless system, or a combination thereof. Note that the communication network 106 may be a shared communication line provided for public flights, an original dedicated communication line, or the like, or a combination thereof.

  Each of the office A, the office B, and the office C is provided, for example, in buildings A, buildings B, and buildings C at locations L1, L2, and L3 that are scattered in a plurality of regions or in one region nationwide. , A common business establishment. The building is, for example, a facility, the whole or a part of the building, a factory, and the like.

  In each business office, an air conditioner 107 as an equipment device, an illuminating device 108, and an OA device 109 using an outlet are installed, and used for a power line, an electric light line, etc. to which each equipment device is connected. Power sensors 110 to 112 for measuring power are provided.

  Each office is provided with a temperature sensor 113, a humidity sensor 114, and a wind speed sensor 115 that measure temperature, humidity, and wind speed as environmental data related to the comfort of a person in the room. Each business office is provided with a weather measurement sensor 116 that measures outdoor temperature (outside temperature) as weather measurement data. The meteorological measurement data may be one or more of outdoor temperature, humidity, wind speed, solar radiation amount, and the like.

  The air conditioner 107, the lighting device 108, the OA device 109, the power sensors 110 to 112, the temperature sensor 113, the humidity sensor 114, the wind speed sensor 115, and the weather measurement sensor 116 are respectively connected via communication lines as shown in FIG. It is connected to the equipment controller 104. The equipment controller 104 controls the air conditioner 107 by monitoring the air conditioner 107, the lighting device 108, and the OA device 109 installed in the same office via the communication line. In addition, the facility controller 104 collects various data from the sensors 110 to 116 at the same office via the communication line.

  The equipment to be controlled is not limited to the air conditioner 107, and may be other equipment such as the lighting equipment 108, for example.

  The server device 102 is a device that determines the operation schedule of the air conditioner 107 installed in each business office based on data from each equipment controller 104. As shown in FIG. A control unit 122 and a server communication unit 123 are provided.

  The storage unit 121 includes a flash memory, a ROM (Read Only Memory), an HDD (Hard Disk Drive), and the like, and stores target total demand data 126, weather forecast data 127, and office data 128.

  The target total demand data 126 indicates a target total demand that is a target value of the total power (total power) consumed by a plurality of business establishments, and is preset in the storage unit 121. For example, the target total demand is presented from the power supply source as the total amount of power allowed to be consumed by one operator. The target total demand data 126 indicates the target total demand for each management time period, for example, as shown in FIG. In the present embodiment, the management time zone is composed of time zones every hour from 9:00.

  The weather forecast data 127 indicates a predicted value of the outside air temperature as a predicted value related to the weather in the area including the location of each office or the surrounding area. Specifically, as shown in FIG. 3, for example, the weather forecast data 127 includes the temperatures predicted in the areas A1, A2, and A3 corresponding to the locations L1, L2, and L3 of the offices A, B, and C. Indicates. In addition, the predicted value regarding the weather of each establishment may be one or more of predicted values such as outdoor temperature, humidity, and wind speed.

  The establishment data 128 is data in which electric power actually consumed in each management time zone and PMV (Predicted Mean Vote) are associated with each establishment. As shown in FIG. 4, the establishment data 128 according to the present embodiment includes condition data in addition to the power consumption and PMV in each management time zone, and the condition data indicates which equipment the power consumption is from. , The set temperature in each management time zone of the air conditioner 107 to be controlled, and the outside air temperature that is weather measurement data in each management time zone.

  In addition to the set temperature of the air conditioner 107, the condition data may include operational status data of equipment such as the frequency of the compressor and the temperature of the outlet. Further, the condition data may include a dimming rate when the lighting device 108 is a control target.

  Here, the PMV is an example of a comfort index that is an index representing the comfort felt by a person there, and the comfort index is, for example, a PPD (Predicted Percentage of Dissatisfied) that is a thermal sensation index similar to the PMV. The index may be calculated by any other unique method. In addition, when the equipment device to be controlled by the equipment controller 104 described later in detail is the lighting device 108, the comfort index may be indoor illuminance.

  The server control unit 122 includes, for example, a RAM (Random Access Memory), a processor, and the like. As shown in FIG. 1, the server control unit 122, as a function performed by a processor that executes a software program (not shown) stored in the storage unit 121 using the RAM as a work area, A schedule determination unit 132.

  The predicted total demand calculation unit 131 refers to the business establishment data 128 in the storage unit 121 to calculate a predicted total demand that is the total power for each management time zone when the PMVs are equal at each business establishment. In the present embodiment, the predicted total demand calculation unit 131 also refers to the weather prediction data 127 in the storage unit 121, so that the outside air temperature at each office becomes the outside temperature indicated by the corresponding weather prediction data 127. Calculate the predicted total demand.

  The operation schedule determination unit 132 controls the equipment to be controlled so that the predicted total demand calculated by the predicted total demand calculation unit 131 is equal to or less than the target total demand for each corresponding management time period indicated by the target total demand data 126. Determine the operation schedule for each device management time zone. In this embodiment, since the equipment to be controlled is the air conditioner 107, the operation schedule includes the set temperature as a control value of the air conditioner 107.

  Note that the time zone for controlling the equipment in the operation schedule may not be the same as the management time zone in the target total demand, but in this embodiment, the control target of the equipment controller 104 is the air conditioner 107. Since the power consumption is affected by the outside air temperature or the like that changes with time, it is desirable that the power consumption be at intervals of 15 to 60 minutes, for example.

  The server communication unit 123 is a communication interface that transmits and receives various data via, for example, the communication network 106. As shown in the figure, the office communication unit 135, the plan data transmission unit 136, and the weather forecast acquisition unit 137.

  The office data receiving unit 135 receives the office data 128 transmitted from each equipment controller 104 via the communication network 106.

  The plan data transmission unit 136 transmits the plan data including the operation schedule for each management time period determined by the operation schedule determination unit 132 to the equipment controller 104 installed in each corresponding business office.

  The weather prediction acquisition unit 137 acquires the weather prediction data 127. The weather prediction data 127 is acquired via a communication network 106 from a weather prediction providing device 139 installed in an organization that provides the weather prediction data 127, for example, and is stored in the storage unit 121 via the server control unit 122.

  The facility controller 104 collects various data from the facility devices 107 to 109, the sensors 110 to 116, and the like, and controls the air conditioners 107 installed at the respective business sites based on the operation schedule determined by the server device 102. To do.

  The configuration of the equipment controller 104 installed in the office A will be described with reference to FIG. In addition, the equipment controller 104 installed in each of the office B and the office C has the same configuration.

  As shown in the figure, the facility controller 104 includes a power consumption collection unit 141, an environmental data collection unit 142, a meteorological measurement data acquisition unit 143, a facility equipment communication unit 144, a storage unit 145, and a facility controller control unit. 146 and an equipment controller communication unit 147.

  The power consumption collection unit 141 is a communication interface for communicating with, for example, the power sensors 110 to 112, and includes power consumption data indicating power consumption by the air conditioner 107, the lighting device 108, and the OA device 109. Obtain from ~ 112.

  The environmental data collection unit 142 is a communication interface for communicating with, for example, a temperature sensor 113, a humidity sensor 114, and a wind speed sensor 115 installed indoors in a building A where the office A is provided. The environmental data shown is acquired from each sensor 113-115.

  The meteorological measurement data acquisition unit 143 is a communication interface for communicating with, for example, the meteorological measurement sensor 116, and the meteorological measurement sensor 116 displays the meteorological measurement data indicating the outside air temperature measured outside the building A where the office A is provided. Get from.

  The equipment device communication unit 144 is a communication interface for communicating with, for example, each of the air conditioner 107, the lighting device 108, and the OA device 109. As shown in the figure, a control data transmission unit 149, an operation status collection unit 150.

  The control data transmission unit 149 transmits control data for controlling the air conditioner 107 to the air conditioner 107.

  The operating status collection unit 150 acquires operating status data indicating the operating status of each of the air conditioner 107, the lighting device 108, and the OA device 109. For example, the operating status collection unit 150 acquires the current set temperature as operating status data from the air conditioner 107.

  The storage unit 145 includes a flash memory, a ROM, and the like, and stores the plan data 152. The plan data 152 is data including the operation schedule of the equipment installed in the establishment A determined by the server apparatus 102. For example, as shown in FIG. And the set name of the air conditioner 107 for each management time zone.

  The facility controller control unit 146 includes, for example, a RAM (Random Access Memory), a processor, and the like. As shown in FIG. 5, the facility controller control unit 146 has a PMV calculation unit 155, a business office, and the like as functions exhibited by a processor that executes a software program (not shown) stored in the storage unit 145 using a RAM as a work area. A data generation unit 156, a storage control unit 157, and an equipment control unit 158 are provided.

  The PMV calculation unit (comfort calculation means) 155 calculates PMV by a predetermined method based on the environmental data collected by the environmental data collection unit 142. In addition, when information other than temperature, humidity, and wind speed is required for calculation of PMV, a sensor for acquiring the information may be provided as appropriate, and a predetermined value may be used for the information. .

  The establishment data generation unit 156 includes the power consumption of each facility device 107 to 109 collected by the power consumption collection unit 141, the PMV calculated by the PMV calculation unit 155, the operation status data collected by the operation status collection unit 150, and the like. Is generated for each management time zone.

  The storage control unit 157 stores data in the storage unit 145 and reads data from the storage unit 145.

  The equipment control unit 158 controls the air conditioner 107 based on the operation schedule included in the plan data 152 of the storage unit 145. Specifically, the equipment control unit 158 generates control data including the set temperature of the corresponding management time zone included in the operation schedule, and causes the control data transmission unit 149 to transmit the control data to the air conditioner 107.

  The equipment controller communication unit 147 is a communication interface that exchanges various data with, for example, the server apparatus 102 via the communication network 106. As shown in the figure, the facility controller communication unit 161 and the plan data reception unit Part 162.

  The establishment data transmission unit 161 transmits the establishment data 128 generated by the establishment data generation unit 156 to the server apparatus 102. The plan data receiving unit 162 receives the plan data 152 from the server device 102.

  Note that the power consumption collecting unit 141 calculates the power consumption of each of the equipment devices 107 to 109 installed in the office A based on the operating status data collected by the operating status collecting unit 150, thereby reducing the power consumption. May be collected. In this case, the power sensors 110 to 112 may not be provided, and the power consumption collection unit 141 is realized by a function exhibited by, for example, a processor that executes a predetermined program instead of the communication interface with the power sensors 110 to 112. It is good to be done.

  Further, the environment data collection unit 142 may calculate the environment data based on the operation status data collected by the operation status collection unit 150. In this case, the temperature sensor 113, the humidity sensor 114, or the wind speed sensor 115 may not be provided, and the environmental data collection unit 142 executes, for example, a predetermined program instead of the communication interface with these sensors 113 to 115. It may be realized by a function exhibited by the processor.

  So far, the configuration of the energy saving support system 100 according to the present embodiment has been described. From here, the process which the energy saving assistance system 100 which concerns on this embodiment performs is demonstrated with reference to figures.

  The facility controller 104 executes the establishment data collection process shown in FIG. 7 at a predetermined temporary point (for example, at an interval of 60 minutes from 9:30) in each management time zone. Here, the facility controller 104 installed in the business office A will be described as an example, but the equipment controller 104 installed in each of the business office B and the business office C also executes the same processing.

  The environmental data collection unit 142 acquires environmental data from each of the temperature sensor 113, the humidity sensor 114, and the wind speed sensor 115 (step S101). The PMV calculation unit 155 calculates PMV based on the temperature, humidity, and wind speed included in the acquired environmental data (step S102).

  The operating status collection unit 150 collects operating status data from each of the air conditioner 107, the lighting device 108, and the OA device 109 (step S103). The meteorological measurement data acquisition unit 143 acquires meteorological measurement data from the meteorological measurement sensor 116 (step S104).

  The establishment data generation unit 156 generates the establishment data 128 of the establishment A (Step S105). This establishment data 128 is, for example, the PMV calculated in step S102, the operation status data collected in step S103, the meteorological measurement data acquired in step S204, and the current time acquired from a timing unit (not shown). It is generated by associating a time or a corresponding management time zone.

  The establishment data transmission unit 161 transmits the generated establishment data 128 to the server apparatus 102 via the communication network 106 (step S106).

  When the establishment data 128 is transmitted from the facility controller 104, the establishment data receiving unit 135 of the server apparatus 102 receives the establishment data 128 via the communication network 106. The storage unit 121 stores the establishment data 128 received by the establishment data reception unit 135 under the control of the server control unit 122.

  Note that the timing of executing the establishment data collection process may be determined as appropriate, and is preferably set between 1 minute and 60 minutes. When the establishment data collection process is executed at a relatively long time interval, a process for averaging data within a period, a process for integrating the data, and the like may be performed as necessary.

  Further, the office data 128 is stored for a certain period such as one day in the storage unit 145 of the equipment controller 104, for example, instead of being sequentially transmitted in step S106, and collectively to the server apparatus 102 in units of the period. May be sent.

  The server apparatus 102 executes the operation schedule determination process shown in FIG. 8 at a predetermined time interval (for example, every morning at 10:00).

  The predicted total demand calculation unit 131 sets an initial value of PMV (step S201). In this embodiment, the initial value of PMV is set to 0, which is the value of PMV when a person feels most comfortable, but other values may be set.

  The operation schedule determination unit 132 reads the target total demand data 126 from the storage unit 121 (step S202). The predicted total demand calculation unit 131 reads the weather prediction data 127 from the storage unit 121 (step S203), and reads the business establishment data 128 from the storage unit 121 (step S204).

  The server control unit 122 repeats the processing from step S206 to step S210 for each management time period (loop A; step S205).

  The predicted total demand calculation unit 131 consumes at each establishment when the PMV is a value set based on the read establishment data 128 and the outside air temperature is the temperature indicated by the weather forecast data 127. The calculated power is calculated (step S206).

  Specifically, the predicted total demand calculation unit 131 extracts, for example, the past business establishment data 128 having the closest PMV set value and the predicted outside air temperature for each business establishment. Then, the predicted total demand calculation unit 131 adds up the power consumption included in the establishment data 128 for each establishment.

  The predicted total demand calculation unit 131 calculates the power consumption of each facility device corresponding to the set value of the PMV and the predicted value of the outside air temperature by appropriately linearly complementing the value included in the office data 128, You may add it for each office.

  In addition, the predicted value of the outside air temperature used by the predicted total demand calculation unit 131 to calculate the power consumption of each office does not have to be the temperature itself indicated by the weather prediction data 127. For example, the predicted total demand calculation unit 131 may calculate the predicted value of the outside air temperature by a predetermined method based on the temperature indicated by the weather prediction data 127.

  The predicted total demand calculation unit 131 calculates the predicted total demand by adding up the determined power consumption of each office (step S207). The operation schedule determination unit 132 determines whether or not the calculated predicted total demand is equal to or less than the target total demand (step S208).

  When it is determined that the predicted total demand is not less than or equal to the target total demand (step S208; No), the predicted total demand calculation unit 131 adds a predetermined value p to the PMV (step S209). In this case, a value for deteriorating PMV is determined in advance to reduce the predicted total demand. And the process from step S206 to step S208 is performed again.

  When it is determined that the predicted total demand is less than or equal to the target total demand (step S207; Yes), the operation schedule determination unit 132 is based on the parameters used for calculating the predicted total demand in the management time zone. The operation schedule of each office is determined (step S210).

  For example, as shown in FIG. 9, the predicted total demand calculated when PMV is set to 0 and p is larger than the target total demand, and the predicted total demand calculated when PMV is set to 2p is the target total demand. Let it be smaller.

  In this case, the operation schedule determination unit 132 refers to the air conditioning set temperature included in the office data 128 as a parameter used to calculate the predicted total demand when the PMV is set to 2p. Then, the operation schedule determination unit 132 determines an operation schedule that includes the referenced air conditioning set temperature as a control value.

  When the operation schedule is determined for all target management time zones, the plan data transmission unit 136 generates the plan data by associating the determined operation schedule for each office. The plan data transmission unit 136 transmits each of the generated plan data 152 to the equipment controller 104 installed in the corresponding business office via the communication network 106 (step S211).

  As shown in FIG. 10, when the plan data receiving unit 162 of the facility controller 104 of each office receives the plan data 152 (step S301), the storage control unit 157 stores the plan data 152 in the storage unit 145 (see FIG. 10). Step S302).

  The equipment control unit 158 acquires the plan data 152 via the storage control unit 157, and controls the air conditioner 107 according to the operation schedule included in the plan data 152 (step S303).

  Specifically, the facility control unit 158 generates control data that uses the control value of each management time zone included in the operation schedule as the set temperature of the air conditioner 107, and causes the control data transmission unit 149 to transmit the control data to the air conditioner 107. .

  As described above, according to the present embodiment, the operation schedule in which the PMV is equal at each business location and the predicted total demand is equal to or less than the target total demand is determined, and the air conditioner 107 is controlled according to the operation schedule. The Therefore, it is possible to control the air conditioner 107 so that the comfort at each business office is the same level and the total demand of the plurality of business offices is equal to or less than the target total demand. Therefore, it becomes possible to control so that the comfort of the person in each office becomes fair, and the total demand becomes equal to or less than the target value.

  In general, it is often effective to adjust the set temperature of the air conditioner 107 in order to reduce power consumption. In addition, the air conditioner 107 is one of equipment that has a large impact on comfort. Therefore, by determining the operation schedule with the air-conditioner 107 as the control target, the comfort of the person at each office becomes fair, and the effective control is performed so that the total demand is less than the target value. It becomes possible to do.

  In this embodiment, the operation schedule for each time zone is determined with reference to the outside air temperature of each office. In general, the outside temperature affects PMV and power consumption in each time zone. Therefore, by determining the operation schedule in consideration of the outside air temperature, it is possible to improve the accuracy of predicting the PMV and the predicted total demand in each time zone. Therefore, it becomes possible to perform control so that the comfort of the person in each office becomes more fair, and the total demand becomes more accurately below the target value.

  In the present embodiment, an operation schedule for each management time zone is determined. In general, PMV and power consumption are affected by outside air temperature that changes with time. By determining an operation schedule for each management time zone, an operation schedule corresponding to temporal changes such as weather can be determined. Therefore, it becomes possible to perform control so that the comfort of the person in each office becomes more fair and the total demand becomes more accurately below the target value.

  In the present embodiment, the controlled equipment is the air conditioner 107, but a plurality of types of equipment may be controlled. In this case, as the comfort index, an index representing indoor comfort adjusted by the plurality of equipment devices may be employed instead of the PMV. The operation schedule may be determined for the plurality of facility devices so that the comfort index becomes the same value at each business office. This makes it possible to control the person in each office to have a fair comfort and to keep the total demand below the target value.

  In the present embodiment, the case where the offices belong to a common business operator has been described as an example. However, the business office may belong to each tenant belonging to the same building and belonging to different business operators, for example. It may be on each floor of the same building. Even in this case, according to the energy saving support system 100 according to the present embodiment, the comfort of the person in each tenant's section, each floor, etc. of the building becomes fair, and the total demand is below the target value. It becomes possible to control to become.

Embodiment 2. FIG.
In the energy saving support system according to the second embodiment of the present invention, when controlling the air conditioner 107 that is the equipment to be controlled according to the operation schedule determined by the server device, when comfort and power consumption exceed the target value, The control controller controls the air conditioner 107 so that comfort and power consumption become target values.

  As illustrated in FIG. 11, the server device 202 according to the present embodiment includes a server communication unit 223 having a plan data transmission unit 236 instead of the plan data transmission unit 136 according to the first embodiment. The plan data transmission unit 236 transmits plan data including the target PMV (target comfort index) and the target establishment demand to the corresponding equipment controller 204 via the communication network 106.

  The target PMV is a PMV set when the operation schedule is determined by the operation schedule determination unit 132. Therefore, the target PMV has the same value at each business office. The target establishment demand is the electric power consumed at each establishment used when the operation schedule is determined by the operation schedule determination unit 132.

  As shown in FIG. 12, the facility controller 204 according to the present embodiment includes a storage unit 245 that stores the plan data 252 and a facility control unit 258 instead of the facility control unit 158 according to the first embodiment. And an equipment controller control unit 246 further including a demand prediction unit 265. Although the facility controller 204 installed in the business office A will be described, the equipment controller 204 installed in each of the business office B and the business office C has the same configuration.

  As shown in FIG. 13, the plan data 252 includes a target PMV and a target office demand for each time zone in addition to the operation schedule similar to that of the first embodiment.

Reference is again made to FIG.
When the air conditioner 107 is controlled according to the operation schedule, the business office demand prediction unit 265 calculates a predicted value (predicted business office demand) of power consumed in the management time zone at the business office A installed.

  Specifically, for example, the business establishment demand prediction unit 265 acquires the operation status data and the power consumption data collected by the operation status collection unit 150 and the power consumption collection unit, respectively. The office demand prediction unit 265 calculates a predicted office demand by, for example, linearly complementing the operation status and power consumption of the equipment for the past several minutes indicated by the acquired data.

  The business office demand prediction unit 265 calculates the predicted business office demand in each management time zone at 15-minute intervals. For example, the business office demand prediction unit 265 calculates the predicted business office demand at time intervals determined as appropriate, such as 5 minutes and 10 minutes. Also good.

  The equipment control unit 258 controls the air conditioner 107 according to the operation schedule included in the plan data 252 as in the first embodiment.

  In addition, when the predicted establishment demand exceeds the target establishment demand in the corresponding management time zone included in the plan data 252, the facility control unit 258 further reduces the power consumed at the establishment A during the management time zone. The air conditioner 107 is controlled so as to be below the office demand.

  In addition, when the PMV calculated by the PMV calculation unit 155 shows better comfort than the target PMV in the corresponding management time period included in the plan data 252, the facility control unit 258 determines that the PMV at the office A is the target PMV. The air conditioner 107 is controlled so that

  So far, the configuration of the energy saving support system according to the present embodiment has been described. From here, the process which the equipment controller 204 characteristic of the energy saving assistance system which concerns on this embodiment performs is demonstrated with reference to figures.

  Here, the equipment controller 204 installed in the business office A will be described as an example, but the equipment controller 204 installed in the business office B or the business office C also executes the same processing.

  For example, the equipment controller 204 executes the equipment control process shown in FIG. 14 at 15-minute intervals in the management time zone. In the present embodiment, the equipment control process is executed at, for example, 11:00, 11:15, 11:30, 11:45,.

  The business establishment demand prediction unit 265 acquires operation status data and power consumption data collected by the operation status collection unit 150 and the power consumption collection unit. The office demand prediction unit 265 calculates a predicted office demand in the management time zone at the office A based on the acquired data (step S401).

  The facility control unit 258 refers to the target site demand in the plan data 252 in the management time zone corresponding to the predicted site demand calculated by the site demand prediction unit 265, and determines the predicted site demand, the target site demand, Are compared (step S402).

  When the predicted office demand exceeds the target office demand (step S402; predicted office demand> target office demand), the facility control unit 258 executes demand priority processing (step S403).

  Specifically, in the demand priority process (step S403), the equipment control unit 258 sets the air conditioner so that the power consumed at the office A in the management time zone is equal to or less than the target office demand in the corresponding management time zone. The set temperature of 107 is limited.

  FIG. 15 shows an example when the demand priority processing is executed. In this figure, when the occurrence of insufficient demand is predicted at 11:30 in the office A, the predicted office demand is set as the target project by limiting the set temperature of the air conditioner 107 installed in the office A. An example in which the demand is reduced to a certain point is shown. Here, the shortage demand means that the power consumed at any one of the establishments in a certain management time zone exceeds the target establishment demand in the corresponding management time period, or the amount of power exceeding the target establishment demand. Say.

  As a specific example, when the target temperature of the air conditioner 107 that is performing the cooling operation is set to 25 degrees, if the power consumption at the office A from 11:00 to 12:00 is 20 kW, 11:30 Is predicted. When the target establishment demand from 11:00 to 12:00 is 18 kW, the shortage demand is 2 kW. In this case, for example, by setting the target temperature of the air conditioning equipment to 26 degrees or more, the capacity of the air conditioner 107 is limited to operate. Thereby, the electric power consumed in the office A from 11:00 to 12:00 is reduced to 18 kW which is a target demand.

  By the demand priority processing, the comfort at the business office A is deteriorated and, in some cases, worse than the target PMV as shown in the figure, but the power consumption can be adapted to the target business office demand.

  When the predicted office demand does not exceed the target office demand (step S402; predicted office demand ≦ target office demand), the equipment control unit 258 is included in the PMV and plan data 252 calculated by the PMV calculation unit 155. The target PMV in the corresponding management time zone is compared (step S404).

  When the calculated PMV does not show better comfort than the corresponding target PMV (step S404; comfort is not better than the target PMV), the equipment control unit 258 determines the air conditioner according to the operation schedule included in the plan data 252. 107 is controlled (step S405).

  Specifically, when the calculated PMV is the same as the corresponding target PMV, the facility control unit 258 sets the operation schedule control value and operates the air conditioner 107.

  In addition, when the calculated PMV indicates that the comfort is worse than the corresponding target PMV, the facility control unit 258 causes the PMV of the establishment A to approach the target PMV of the corresponding management time zone included in the plan data 252. The air conditioner 107 is controlled. At this time, the facility control unit 258 does not exceed the target office demand in the corresponding management time zone included in the plan data 252 and the comfort of the office A is indicated by the target PMV. The air conditioner 107 is controlled within a range that does not improve.

  When the calculated PMV shows better comfort than the corresponding target PMV (step S404; comfort is better than the target PMV), the facility control unit 258 executes comfort restriction processing (step S406).

  Specifically, in the comfort restriction process (step S406), the equipment control unit 258 restricts the set temperature of the air conditioner 107 so that the PMV at the office A becomes the target PMV.

  An example of the case where the comfort restriction process is executed is shown in FIG. In the same figure, when the PMV calculated at 11:30 is 0 and shows better comfort than the target PMV, the set temperature of the air conditioner 107 installed in the office A is limited, so that The example which reduced the comfort in the place A to what the target PMV shows is shown.

  As a specific example, when the set temperature of the air conditioner 107 performing the cooling operation is 25 degrees and the target PMV is 0.2, and the air conditioner 107 is operated at the set temperature, it is calculated by the PMV calculation unit 155. It is assumed that PMV is 0. In this case, since the calculated PMV shows better comfort than the corresponding target PMV, the equipment control unit 258 limits the capability of the air conditioner 107 by setting the target temperature of the air conditioner 107 to 26 degrees. Drive.

  The comfort restriction process reduces the comfort at the establishment A to the level indicated by the target PMV, so that the comfort at each establishment is equal, and the comfort of the people at each establishment can be made fair. Become.

  Moreover, since the electric power consumed in the office A can be reduced, as shown in the figure, an extra demand can be generated. Accordingly, it is possible to further reduce power consumption. Here, the surplus demand means that the power consumed in any one of the business establishments in a certain management time zone is less than the target business office demand in the corresponding management time zone, or is less than the target business office demand. Say quantity.

  Thereby, the equipment controller 204 ends the equipment control process.

  As described above, according to the present embodiment, for example, when the load applied to the equipment devices 107 to 109 increases due to changes in weather conditions, etc., and the power consumed at the establishment A is likely to exceed the target establishment demand. In addition, the demand priority process is executed. As a result, it is possible to avoid that the total demand of each office exceeds the target total demand.

  Further, for example, when the comfort in the business establishment is better than that indicated by the target PMV due to, for example, a change in weather conditions, the operation of the air conditioner 107 is limited. As a result, it is possible to make the comfort between offices fair and to further promote the reduction of total demand.

Embodiment 3. FIG.
In the energy saving support system according to the third embodiment of the present invention, the server device can accommodate the target establishment demand between establishments when occurrence of insufficient demand or margin demand is predicted at any of the establishments. Determine the revised operation schedule.

  As illustrated in FIG. 17, the server apparatus 302 according to the present embodiment includes a storage unit 321 that further stores PMV difference data 367 and demand difference data 368, a server control unit 322 that further includes an operation schedule correction unit 370, a plan The server communication unit 323 includes a plan data transmission unit 336 instead of the data transmission unit 236, and further includes a PMV difference data reception unit 372 and a demand difference data reception unit 373.

  PMV difference data (comfort difference data) 367 indicates a PMV difference as a comfort difference as a comfort difference. The PMV difference is a difference between the actual PMV value and the target PMV for each management time zone at each business location. The actual PMV value is, for example, a PMV calculated by the PMV calculation unit 155 at each business location. In the present embodiment, the PMV difference data 367 includes a history of PMV differences at each office, such as from 9:00 to 10:00, from 10:00 to 11:00, as shown in FIG. The actual value of PMV in the office B from 10:00 to 11:00 is one larger than the target PMV, and the actual values of other PMVs are equal to the target PMV. Here, the actual value of the PMV being 1 larger than the target PMV means that the comfort of the office B was worse than the target in the time zone from 10:00 to 11:00.

  The demand difference data 368 indicates a difference (demand difference) between a predicted office demand and a target office demand in a certain management time zone at each office. In the present embodiment, as shown in FIG. 19, the demand difference data 368 has an insufficient demand of 2 [kW] at the office A from 11:00 to 12:00, which is the latest management time zone, It is shown that a short demand of 4 [kW] occurs at the site B, and a surplus demand of 5 [kW] occurs at the business site C.

  Based on the demand difference data 368 stored in the storage unit 321, the operation schedule correction unit 370 has a target indicated by the target total demand data 126 stored in the storage unit 321 in which the total power consumption predicted at each office is stored. Determine if it is less than the total demand.

  When it is determined that the total power consumption predicted at each office is less than the target total demand, the operation schedule correction unit 370 lacks the target office demand for the surplus demand of the office where the surplus demand occurs. Revise the operation schedule to accommodate the offices where demand is occurring.

  When it is determined that the total power consumption predicted at each office is not less than the target total demand, and there is an office where there is a surplus demand, the operation schedule correction unit 370 has an insufficient demand. It is determined based on the demand difference data 368 whether there are a plurality of establishments.

  When there is one business location where the shortage of demand is occurring, the operation schedule correction unit 370 can accommodate the target business location demand for the surplus demand of the business location where the surplus demand is occurring to the business location where the shortage demand is occurring. To correct the driving schedule. When there are a plurality of establishments in which insufficient demand occurs, the operation schedule correction unit 370 refers to the comfort difference data stored in the storage unit 321, and the target business for the excess demand of the establishment in which extra demand occurs. The operation schedule is modified so that the demand is preferentially accommodated in the plurality of establishments where the past comfort has been poor.

  Note that the operation schedule correction unit 370 calculates the total power consumption predicted at each office based on the predicted office demand instead of the PMV difference data 367, and whether the total is less than the target total demand. It may be determined whether or not. In this case, the server device 302 may acquire data indicating the predicted business office demand calculated by the business office demand prediction unit 265 from each equipment controller 304 via the communication network 106.

  The plan data transmission unit 336 transmits the plan data 252 including the operation schedule corrected by the operation schedule correction unit 370 to the facility controller 304 of the corresponding office via the communication network 106.

  The PMV difference data receiving unit 372 receives the PMV difference data 367 transmitted from each facility controller 304 via the communication network 106.

  The demand difference data receiving unit 373 receives demand difference data 368 transmitted from each facility controller 304 via the communication network 106.

  As shown in FIG. 20, the facility controller 304 according to the present embodiment includes a facility controller control unit 346 further including a demand difference calculation unit 375 and a PMV difference calculation unit 376, a demand difference data transmission unit 378, and PMV difference data transmission. A facility controller communication unit 347 further including a unit 379. The facility controller 304 installed at the business office A will be described, but the equipment controller 304 installed at each of the business office B and the business office C also has the same configuration.

  The demand difference calculation unit 375 calculates a demand difference, which is a difference between the predicted establishment demand calculated by the establishment demand prediction unit 265 and the target establishment demand in the corresponding management time period included in the plan data 252.

  The PMV difference calculation unit 376 calculates the difference between the PMV calculated by the PMV calculation unit 155 and the target PMV in the corresponding management time period included in the plan data 252.

  The demand difference data transmission unit 378 transmits demand difference data including the demand difference of the office A calculated by the demand difference calculation unit 375 to the server device 302 via the communication network 106.

  The PMV difference data transmission unit 379 transmits PMV difference data including the PMV difference of the office A calculated by the PMV difference calculation unit 376 to the server device 302 via the communication network 106.

  So far, the configuration of the energy saving support system according to the present embodiment has been described. From here, the process which the energy saving assistance system which concerns on this embodiment performs is demonstrated with reference to figures.

  The equipment controller 304 according to the present embodiment executes the notification process shown in FIG. 21 after executing the same equipment control process (see FIG. 14) as in the second embodiment. The notification process is a process for notifying the server apparatus 302 of the PMV difference data 367 and the demand difference data 368. The facility controller 304 installed in the business office A will be described as an example, but the equipment controller 304 installed in the business office B or the business office C also executes the same processing.

  As shown in the figure, the PMV difference calculation unit 376 acquires the PMV calculated by the PMV calculation unit 155 and the target PMV included in the plan data 252 stored in the storage unit 145 (step S501). The target PMV acquired here corresponds to, for example, a management time zone including the time when the facility device control process is executed.

  The PMV difference calculation unit 376 calculates the PMV difference by subtracting the target PMV from the acquired PMV (step S502).

  The demand difference calculation unit 375 acquires the predicted establishment demand calculated by the establishment demand prediction unit 265 and the target establishment demand included in the plan data 252 stored in the storage unit 245 (step S503). The target office demand acquired here corresponds to, for example, a management time zone including the time when the equipment control process is executed.

  The demand difference calculation unit 375 calculates the demand difference by subtracting the target establishment demand from the acquired predicted establishment demand (step S504).

  For example, when the predicted business office demand exceeds the target business office demand, the demand difference is a shortage demand obtained by subtracting the target business office demand from the predicted business office demand. This corresponds to the establishment A and the establishment B in the demand difference data 368 shown in FIG. In this case, since the priority control process is executed by the facility control unit 258, the comfort at the establishment is deteriorated. Therefore, the difference between the PMV indicating the deteriorated comfort and the target PMV is calculated as the PMV difference. The

  In addition, for example, when the facility control unit 258 executes the comfort restriction process and the predicted business office demand is less than the target business office demand, the demand difference subtracts the predicted business office demand from the target business office demand. It will be a surplus demand that can be obtained. This corresponds to the office C in the demand difference data 368 shown in FIG. In this case, the difference between the PMV indicating the comfort indicating the comfort at the establishment and the target PMV is calculated as the PMV difference (usually 0).

  The PMV difference data transmission unit 379 transmits PMV difference data 367 including the PMV difference calculated by the PMV difference calculation unit 376 to the server apparatus 302 via the communication network 106, and the demand difference data transmission unit 378 calculates the demand difference. The demand difference data 368 including the demand difference calculated by the unit 375 is transmitted to the server apparatus 302 via the communication network 106 (step S505).

  The PMV difference data 367 and the demand difference data 368 transmitted from the facility controller 304 are received by the PMV difference data receiving unit 372 and the demand difference data receiving unit 373 of the server device 302, respectively. The received data 372 and 373 are stored in the storage unit 321 via the server control unit 322.

  When the server apparatus 302 receives and stores predetermined timing, for example, PMV difference data 367 or demand difference data 368, the server apparatus 302 executes the operation schedule correction process shown in FIG. 22.

  As shown in the figure, the operation schedule correction unit 370 determines whether or not there is a shortage of demand and a surplus demand at different establishments based on the demand difference indicated by the demand difference data 368 stored in the storage unit 321. Is determined (step S601).

  For example, in the demand difference data 368 shown in FIG. 19, a shortage demand occurs at the offices A and B, and a margin demand occurs at the office C. Therefore, the operation schedule correction unit 370 determines that the shortage demand and the surplus demand are generated at different establishments (step S601; Yes).

  Returning to FIG. 22, when it is determined that the shortage demand and the surplus demand are generated at different establishments (step S <b> 601; Yes), the operation schedule correction unit 370 stores the demand difference data 368 stored in the storage unit 321. Whether the predicted total demand is smaller than the target total demand is determined based on the demand difference indicated by (step S602). Thereby, it is determined whether or not there is a surplus demand in the plurality of business establishments as a whole.

  For example, in the case of the demand difference data 368 shown in FIG. 19, the demand differences of the office A, the office B, and the office C from 11:00 to 12:00 are −2 [kW] and −4 [kW, respectively. ], +5 [kW]. When these are added together, it becomes −1 [kW], and the predicted total demand is 1 [kW] higher than the target total demand. Therefore, the operation schedule correction unit 370 determines that the predicted total demand is not less than the target total demand (Step S602; No).

  Returning to FIG. 22, when it is determined that the predicted total demand is not less than the target total demand (step S602; No), the operation schedule correction unit 370 determines whether there are a plurality of establishments where insufficient demand occurs ( Step S603).

  For example, in the case of the demand difference data 368 shown in FIG. 19, a shortage of demand occurs at two business locations, business location A and business location B, from 11:00 to 12:00. For this reason, the operation schedule correction unit 370 determines that there are a plurality of business establishments where a shortage of demand occurs (step S603; Yes).

  Returning to FIG. 22, when it is determined that there are a plurality of establishments where insufficient demand occurs (step S603; Yes), the operation schedule correction unit 370 refers to the PMV difference data 367 stored in the storage unit 321 (step S603). S604), establishments that have had poor comfort in the past are extracted (step S605).

  For example, in the case of the PMV difference data 367 shown in FIG. 18, when the PMV difference of each establishment from 9:00 to 11:00 is added, the establishment A and establishment C are 0, and the establishment B Is +1. Therefore, the establishment B is extracted as the establishment that has been uncomfortable in the past.

  In addition, since PMV is an index indicating that it is the most comfortable when it is 0, the establishment with the largest sum of the absolute values of the PMV difference of each establishment is the business that has been poor in the past. It may be extracted as a place.

  In addition, an example has been described in which establishments that have had poor comfort in the past are extracted based on the PMV difference of each establishment from 9:00 to 11:00, that is, the history of the PMV difference on that day. However, the PMV difference that is referred to when an office that has been uncomfortable in the past may be a history of an appropriately determined period such as the past 24 hours, 3 days, or 7 days.

  Returning to FIG. 22, the operation schedule correction unit 370 operates to preferentially accommodate the target establishment demand corresponding to the margin demand of the establishment where the margin demand occurs in the establishment extracted in step S605. The schedule is corrected (step S606).

  For example, as shown in FIG. 19, there is a shortage of demand at business office A and business office B, and there is an extra demand of 5 [kW] at business office C. When B is extracted, 5 [kW], which is a surplus demand of the office C, is preferentially accommodated to the office B.

  As a result, the target office demand of the office B is added by 4 [kW] that is the shortage demand, and the plan schedule is corrected to the control value and the target office demand corresponding to the demand. The surplus demand of the office C is 1 [kW] even if the office B is accommodated. This 1 [kw] is interchanged with the office A. As a result, the target office demand of the office B is added by 1 [kW], and the plan schedule is corrected to the control value and the target office demand corresponding to the plan value. The target office demand of the office C is deducted by 5 [kW], and the plan schedule is corrected to the control value and the target office demand corresponding to the plan schedule.

  Returning to FIG. 22, when it is determined that there are not a plurality of establishments where the shortage of demand occurs (step S603; No), the operation schedule correction unit 370 corrects the operation schedule of the establishment where the shortage demand occurs ( Step S607).

  Specifically, the power equivalent to the surplus demand of the establishment where the surplus demand occurs is added to the target establishment demand of the establishment where the shortage demand occurs, and the plan schedule includes the control value and It is corrected to the target office demand. The target office demand of the office where the surplus demand is generated is subtracted by the surplus demand, and the plan schedule is corrected to the control value and the target office demand according to the demand.

  When it is determined that the predicted total demand is less than the target total demand (step S602; Yes), the operation schedule correction unit 370 corrects the operation schedules of all the establishments where the shortage demand occurs (step S608).

  Specifically, in this case, since the total of the surplus demand exceeds the total of the shortage demand, the shortage demand of all the offices can be solved by accommodating the surplus demand. Therefore, the power consumption corresponding to the shortage demand is added to the target place demand of all the places where the shortage demand occurs, and the plan schedule is corrected to the control value and the target place demand corresponding to the demand. The target office demand of the office where the surplus demand is generated is subtracted by the amount of accommodation, and the plan schedule is corrected to the control value and the target office demand corresponding to the demand.

  The plan data transmission unit 236 transmits the plan data including the operation schedule corrected by the operation schedule correction unit 370 to the facility controller 304 of the corresponding office via the communication network 106 (step S609).

  When the plan data 252 including the corrected operation schedule is transmitted, the equipment controller 304 installed in the business site that has been corrected receives the plan data 252 and stores it in the storage unit 245. Then, the equipment control unit 258 of the equipment controller 304 controls the air conditioner 107 according to the modified operation schedule included in the stored plan data 252.

  Specifically, the equipment control unit 258 executes equipment equipment control processing shown in FIG. 14, for example. As a result, the establishment that has received the power consumption interchange controls the air conditioner 107 according to the relaxed control value or the target establishment demand. Therefore, it is possible to improve the comfort, which has been deteriorated by the comfort restriction process, close to the target comfort.

  As shown in FIG. 23, for example, it is assumed that the facility controller 304 of the office A has predicted the predicted office demand at 11:30. Since this predicted establishment demand exceeds the initial target establishment demand, the facility controller 304 of the establishment A executes the comfort restriction process. As a result, the comfort at the office A deteriorates.

  Then, it is assumed that the facility controller 304 of the office A receives the plan data 252 including the corrected operation schedule from the server device 302 and controls the air conditioner 107 according to the corrected operation schedule from 11:45. In the office A, the target office demand corrected is larger than the initial target office demand, so that the restriction in the comfort restriction process is relaxed and the comfort is improved.

  Returning to FIG. 22, when it is determined that the shortage demand and the surplus demand are not generated at different establishments (step S601; No), the operation schedule correction unit 370 corrects the operation schedule without correcting the operation schedule. Exit.

  As described above, according to the present embodiment, each facility controller 304 notifies the server device 302 of the demand difference data 368. Therefore, the operation schedule can be corrected so that the server apparatus 302 can accommodate the target office demand of each office. Therefore, it becomes possible to control so that the comfort of the person in each office becomes more reliable and the total demand is equal to or less than the target value.

  When the predicted total demand is less than the target total demand, the operation schedules of all the establishments where the shortage demand occurs are corrected. Thereby, PMV of all the offices can be made into the common target PMV. Therefore, it becomes possible to control so that the comfort of the person in each office becomes more reliable and the total demand is equal to or less than the target value.

  If the predicted total demand is greater than or equal to the target total demand, but there is insufficient demand and marginal demand at different establishments, the operation schedule should be set so that the margin demand can be accommodated to the establishment where the shortage demand occurs. Correct it.

  When there is one business location where the shortage demand occurs, the comfort of the business location can be brought close to the PMV by accommodating all of the surplus demand to that business location. Therefore, it becomes possible to control so that the comfort of the person in each office becomes more reliable and the total demand is equal to or less than the target value.

  When there are a plurality of establishments where insufficient demand has occurred, the operation schedule is modified so that the margin demand is preferentially accommodated to establishments that have previously had poor comfort among the plurality of establishments. Therefore, it is possible to improve the fairness regarding the comfort between the offices over a certain period. Therefore, it becomes possible to control so that the comfort of the person in each office becomes more reliable and the total demand is equal to or less than the target value.

  As mentioned above, although embodiment of this invention was described, this invention is not limited to embodiment, The aspect which added the various change to embodiment and technical scope equivalent to them are also included.

  The present invention is, for example, in order to realize the operation of facility equipment for energy saving such as compliance with the so-called revised energy saving law, for businesses that have a plurality of offices scattered in one area in a plurality of areas nationwide. Can be applied to.

DESCRIPTION OF SYMBOLS 100 Energy saving support system 102,202,302 Server apparatus 104,204,304 Equipment controller 106 Communication network 107 Air conditioner 108 Illumination equipment 109 OA equipment 110-112 Power sensor 113 Temperature sensor 114 Humidity sensor 115 Wind speed sensor 116 Weather measurement sensor 131 Prediction Total demand calculation unit 132 Operation schedule determination unit 135 Office data reception unit 136, 236, 336 Plan data transmission unit 137 Weather forecast acquisition unit 141 Power consumption collection unit 142 Environmental data collection unit 143 Weather measurement data acquisition unit 150 Operation status collection unit 155 PMV calculation unit 156 Establishment data generation unit 158,258 Equipment control unit 161 Establishment data transmission unit 162 Plan data reception unit 265 Establishment demand prediction unit 370 Operation schedule Joule modification unit 372 PMV difference data reception unit 373 Demand difference data reception unit 375 Demand difference calculation unit 376 PMV difference calculation unit 378 Demand difference data transmission unit 379 PMV difference data transmission unit

Claims (14)

A facility controller installed in each of a plurality of business establishments, and a server device connected to each of the facility controllers via a communication network;
Each of the equipment controllers is
Plan data receiving means for receiving plan data including the operation schedule of the equipment to be controlled from the server device;
Facility control means for controlling the facility equipment to be controlled based on the received plan data;
Power consumption collection means for collecting power consumption by equipment installed in the same office;
A comfort calculation means for calculating a comfort index representing the comfort of the establishment based on environmental data related to the comfort of the installed establishment;
Establishment data transmission means for transmitting establishment data including the collected power consumption by the equipment and the calculated comfort index to the server device;
The server device
Establishment data receiving means for receiving establishment data transmitted from each facility controller;
A predicted total demand calculating means for calculating a predicted total demand that is a total power consumed at each of the establishments when the comfort index is equal at each of the establishments based on the received establishment data;
Target total demand storage means for preliminarily storing target total demand data indicating target total demand, which is a target value of total power consumed at the plurality of establishments;
An operation schedule determining means for determining an operation schedule of the equipment to be controlled so that the calculated predicted total demand is equal to or less than the target total demand;
An energy saving support system comprising: plan data transmission means for transmitting plan data including the determined operation schedule to the corresponding equipment controllers. Each of the facility controllers further includes weather measurement data acquisition means for acquiring weather measurement data indicating a value measured with respect to the weather of the installed office,
The establishment data transmission means transmits establishment data including the weather measurement data to the server device,
The server device further includes weather prediction data acquisition means for acquiring weather prediction data indicating a prediction value related to the weather of each of the offices,
The predicted total demand calculation means is a predicted value indicated by the weather forecast data corresponding to a value indicated by each meteorological measurement data based on the received establishment data, and at each establishment The energy saving support system according to claim 1, wherein when the comfort index is equal, the predicted total demand is calculated by adding up the electric power consumed at each of the establishments.   The energy-saving support system according to claim 1 or 2, wherein the equipment to be controlled is an air conditioner. The target total demand data indicates the target total demand for each predetermined management time zone,
The operation schedule determination means determines an operation schedule for each management time zone of the controlled equipment so that the calculated predicted total demand is equal to or less than the target total demand for each management time zone. The energy saving support system according to any one of claims 1 to 3. The said plan data transmission means to each said equipment controller corresponding to the plan data containing the target office demand which is the electric power consumed in each said office used when determining the driving schedule for every said management time slot | zone Send
Each of the facility controllers calculates a predicted establishment demand that is power that is expected to be consumed in the management time zone at the establishment where the equipment to be controlled is controlled according to the determined operation schedule. Further comprising an office demand forecasting means,
The facility control means, when the calculated predicted demand exceeds the target establishment demand of the corresponding management time period included in the plan data received by the plan data receiving means, The energy-saving support system according to claim 4, wherein the equipment to be controlled is controlled such that the power consumed by the power becomes less than or equal to the target office demand during the management time period. The plan data transmission means transmits plan data including a target comfort index, which is the comfort index used when determining an operation schedule for each management time zone, to each of the corresponding equipment controllers,
The facility control means has the management time corresponding to the calculated comfort index when the calculated comfort index indicates better comfort than the target comfort index of the management time zone to which the calculated comfort index corresponds. The energy-saving support system according to claim 4, wherein the control target equipment is controlled so as to be the target comfort index of a belt. The plan data transmission means is used when determining an operation schedule for each management time zone, and is a target establishment demand which is power consumed at each establishment and a target comfort index which is the comfort index. Is sent to the corresponding equipment controller,
Each of the equipment controllers is
The office demand prediction means for calculating a predicted office demand, which is power predicted to be consumed in the management time zone at the installed office when the controlled equipment is controlled according to the determined operation schedule. When,
Demand difference calculating means for calculating a demand difference that is a difference between the calculated predicted office demand and the target office demand corresponding to the management time zone;
Demand difference data transmission means for transmitting demand difference data indicating the calculated demand difference to the server device;
The facility control means, when the calculated predicted demand exceeds the target establishment demand of the corresponding management time period included in the plan data received by the plan data receiving means, The target equipment in the management time zone corresponding to the calculated comfort index is controlled by controlling the equipment to be controlled so that the power consumed in the management time zone is less than or equal to the target establishment demand in the management time zone. The control target equipment is controlled so that the calculated comfort index becomes the target comfort index of the corresponding management time zone when the comfort index is better than the sex index. The energy saving support system according to claim 4. The server device
Demand difference data receiving means for receiving demand difference data transmitted from each of the equipment controllers;
Based on the received demand difference data, it is determined whether or not the total of the predicted office demands of the respective offices is less than the target total demand, and the total of the predicted office demands of the respective offices is When it is determined that the predicted total demand is less than the target total demand, the surplus demand of the business where the predicted business demand is less than the target business demand is accommodated to the business where the predicted business demand exceeds the target business demand. Driving schedule correction means for correcting the driving schedule to
The plan data transmission means transmits plan data including the corrected operation schedule to the corresponding equipment controllers,
The energy saving support system according to claim 7, wherein the facility control means controls the facility equipment to be controlled based on the corrected operation schedule included in the plan data. Each of the equipment controllers is
A comfort difference calculating means for calculating a comfort difference that is a difference from the target comfort index of the management time zone corresponding to the calculated comfort index;
Comfort difference data transmitting means for transmitting comfort difference data indicating the calculated comfort difference to the server device;
The server device
Comfort difference data receiving means for receiving the comfort difference data transmitted from each facility controller;
Further comprising comfort difference storage means for storing the received comfort difference data;
When the operation schedule correction unit determines that the total predicted office demand of each office is equal to or greater than the target total demand, there are a plurality of offices whose predicted office demand exceeds the target office demand. And when there is an office whose predicted office demand is less than the target office demand, the predicted office demand is calculated by referring to the comfort difference data stored in the comfort difference storage means. Preferentially accommodate the surplus demand of establishments where the predicted establishment demand is less than the target establishment demand to establishments that have had poor past comfort among multiple establishments exceeding the target establishment demand. The energy saving support system according to claim 8, wherein the operation schedule is corrected. A server device connected via a network to each equipment controller installed at each of a plurality of offices,
Office data for receiving office data from each equipment controller including power consumption by each equipment installed in each office and a comfort index indicating the comfort of each office calculated by each equipment controller Receiving means;
A predicted total demand calculating means for calculating a predicted total demand that is a total power consumed at each of the establishments when the comfort index is equal at each of the establishments based on the received establishment data;
Target total demand storage means for preliminarily storing target total demand data indicating target total demand, which is a target value of total power consumed at the plurality of establishments;
An operation schedule determining means for determining an operation schedule of the equipment that is a control target of each equipment controller , so that the calculated predicted total demand is less than or equal to the target total demand;
The server apparatus characterized by including the plan data transmission means which transmits the plan data containing the determined driving schedule to each corresponding said equipment controller.   Receiving data received from each equipment controller installed at each business office, including data related to power consumption by each equipment installed at each business office and data related to the comfort of each business office Means,
  Transmission means for transmitting the operation schedule of the equipment that is the control target of each equipment controller to each equipment controller,
  The transmitting means is a predicted total calculated based on the received office data as the total power consumed at each office when the comfort index representing the comfort of the office is equal at each office. Send an operation schedule when demand falls below the target value
  The server apparatus characterized by the above-mentioned. Collect the power consumption of each equipment installed in multiple offices,
Based on the environmental data related to the comfort of each office, a comfort index representing the comfort of each office is calculated,
Based on the collected power consumption and the calculated comfort index, calculate a predicted total demand that is the total power consumed at each establishment when the comfort index is equal at each establishment,
The operation schedule of the equipment to be controlled installed at each business site is set so that the calculated predicted total demand is less than or equal to the target total demand that is the target value of total power consumed at the plurality of business sites. Decide
Based on the determined operation schedule, the facility equipment to be controlled installed at each of the offices is controlled. An energy saving support method.   Receiving establishment data including power consumption by each equipment installed in each of the plurality of establishments and data related to comfort of each establishment from each equipment controller installed in each establishment;
  Based on the received establishment data, when the comfort index representing the comfort of the establishment is equal in each establishment, a predicted total demand that is the total power consumed in each establishment is calculated,
  Determine the operation schedule of the equipment that is the control target of each equipment controller so that the calculated predicted total demand is less than or equal to the target value,
  The determined operation schedule is transmitted to the corresponding equipment controller.
  An energy saving support method characterized by that.   Computer
  Including data related to power consumption by each equipment installed in each of a plurality of business establishments and the comfort of each business establishment, the business establishment data transmitted from each equipment controller installed in each business establishment Reading means for reading,
  Calculation that calculates a predicted total demand that is the total power consumed at each of the establishments when the comfort index indicating the comfort of the establishment is equal at each of the establishments based on the read out establishment data means,
  Determining means for determining an operation schedule of the equipment that is a control target of each equipment controller so that the calculated predicted total demand is less than or equal to a target value;
  Transmitting means for transmitting the determined operation schedule to each corresponding equipment controller;
  Program to function as.

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