WO2020003686A1

WO2020003686A1 - Energy conservation plan creation support device, program, device, and method

Info

Publication number: WO2020003686A1
Application number: PCT/JP2019/015129
Authority: WO
Inventors: 玄太吉村; 裕希川野; 義統中島; 利宏妻鹿
Original assignee: 三菱電機株式会社
Priority date: 2018-06-28
Filing date: 2019-04-05
Publication date: 2020-01-02
Also published as: JP7224119B2; JP2020004084A

Abstract

An energy conservation plan creation support device (10) has: an equipment power demand prediction unit (14) that predicts the overall power demand in a building (1) by predicting the power consumption of equipment (2) on the basis of equipment operating condition information and equipment control plan information that have been acquired from a building management device (4), said equipment operating condition information indicating equipment operating condition results, and said equipment control plan information indicating the content of an operating condition plan; and a display control unit (15) that causes a display unit (16) to display, together with the predicted power demand, the control plan for equipment (2) for which the operating condition is planned, and for equipment (2) for which the operating condition is not planned, the operating condition of said equipment (2) during a prediction period, which is predicted on the basis of operating results condition information.

Description

Energy saving plan creation support device, program, device and method

The present invention relates to an energy-saving plan creation support device, a program, an apparatus, and a method, and more particularly, to an energy-saving plan creation support for accurately achieving energy saving.

Conventionally, appropriate information has been created based on actual information such as information on electricity use and information on power consumption, and information has been provided to planners so that an effective energy saving plan can be made.

For example, a time chart diagram in which operating states of power consuming devices provided in a building and a power supply repeater capable of controlling a power supply state are collectively created in a time series, and a state described in the time chart diagram. And a power consumption graph created by summarizing the power consumption when the power consuming equipment and the power supply repeater are activated in time series, and refer to the displayed information to the administrator and the user. There has been proposed a technique for setting an energy saving control of each device from each standpoint to draft an energy saving plan (for example, Patent Document 1).

Patent No. 5936364 JP 2005-158020 A JP 2011-214794 A JP 2016-044855 A JP 2012-196017 A JP 2013-219893 A JP-A-2005-023668 JP 2000-274772 A

By the way, there is no guarantee that equipment that consumes power will operate in the same way according to past operating conditions. In some cases, future operation contents are planned for the equipment.

However, in the prior art, the operating state of the future equipment is predicted and provided from the current or past operating state, and information is provided. Information is not provided, so it is not always possible to make an appropriate energy conservation plan.

The present invention has a high degree of accuracy by providing information on a future operation state predicted from actual operation information on equipment for which an operation plan has been set, for equipment for which an operation plan has been set. The purpose is to support the planning of energy saving plans.

An energy saving plan creation support device according to the present invention is configured such that control plan information acquisition means for acquiring control plan information of a facility in a building in a predetermined prediction period, and control plan information is set in at least a prediction period of facilities in the building. Operation result information acquisition means for acquiring operation result information indicating the past operation state of the equipment that has not been set, and predicting the operation state of the equipment during the forecast period based on the operation result information of the equipment for which control plan information is not set. Operating state prediction means for generating operating state prediction information, power consumption prediction means for predicting power consumption in a prediction period based on control plan information and operating state prediction information, control plan information and operating state prediction information, Display control means for performing display control so that the predicted power consumption predicted by the power consumption prediction means is displayed together on the display means. It is intended.

The display control means displays the control plan information, the operating state prediction information, and the predicted power consumption for each time zone formed by dividing the prediction period into a plurality.

The display control means displays the probability distribution of the operating state corresponding to the time zone and the equipment selected by the user.

Further, the power consumption prediction means re-predicts the power consumption reflecting the changed content when the setting content indicated by the operation state prediction information corresponding to the time zone and the equipment selected by the user is changed. It is.

The operating state prediction means generates the operating state prediction information using the actual value that is most likely to be obtained by the facility in the prediction period as the predicted value of the facility.

Further, the operation state of the equipment predicted based on the operation result information is automatically changed to a control plan until the power consumption predicted by the power consumption prediction means becomes equal to or less than the target power consumption, and the control plan information of the equipment is changed. Is generated.

A program according to the present invention provides a computer, a control plan information acquisition unit for acquiring control plan information of a facility in a building in a predetermined prediction period, wherein the control plan information is not set in at least the prediction period of the facilities in the building. Operation result information acquisition means for acquiring operation result information indicating the past operation state of the equipment, and operating state by predicting the operation state of the equipment in the prediction period based on the operation result information of the equipment for which control plan information is not set Operating state prediction means for generating prediction information, power consumption prediction means for predicting power consumption in a prediction period based on control plan information and operation state prediction information, control plan information and operation state prediction information, and the power consumption prediction means Display control means for performing display control to display the predicted power consumption on the display means together. It is of the order.

According to the present invention, by providing information on a future operation state predicted from actual operation information on equipment for which an operation plan has been set, for equipment for which an operation plan has been set, Can support the creation of a highly efficient energy saving plan.

It is a block diagram showing Embodiment 1 of an energy saving plan creation support device according to the present invention. FIG. 2 is a hardware configuration diagram of a computer forming an energy saving plan creation support device according to the first embodiment. 5 is a flowchart illustrating an energy saving plan creation support process according to the first embodiment. FIG. 5 is a diagram showing a display example according to the first embodiment. FIG. 5 is a diagram illustrating a display example when detailed information is displayed in response to an operation of a planner in FIG. 4. FIG. 5 is a diagram showing another display example when detailed information is displayed in response to an operation of a planner in FIG. 4. FIG. 5 is a diagram illustrating a display example when a planner changes a predicted value in FIG. 4. FIG. 5 is a diagram used to describe a method of determining the width of an error bar displayed on a screen in the first embodiment. FIG. 5 is another diagram used for describing the method of determining the width of the error bar displayed on the screen in the first embodiment. FIG. 5 is a diagram showing another display example when the planner changes the predicted value in FIG. 4. FIG. 7 is a diagram illustrating a display example when predicted power consumption in a prediction period is determined in the first embodiment. FIG. 13 is a block diagram showing an energy saving plan creation support device according to a second embodiment. 13 is a flowchart illustrating an energy saving plan creation support process according to the second embodiment. FIG. 14 is a diagram used to describe the contents of the facility control plan update process in the second embodiment. FIG. 15 is a diagram used to explain the contents of another facility control plan update process in the second embodiment. FIG. 14 is a block diagram showing an energy saving plan creation support device according to a third embodiment.

Hereinafter, preferred embodiments of the present invention will be described with reference to the drawings.

Embodiment 1 FIG.
FIG. 1 is a block diagram showing Embodiment 1 of an energy saving plan creation support device according to the present invention. FIG. 1 shows a building 1, a building management device 4, and an energy saving plan creation support device 10. The building 1 is an example of a facility where facilities 2 to be managed by the building management device 4 are installed. In the building 1, for example, air conditioning, lighting, a fan (ventilation fan), and the like are installed as facilities 2.

The building management device 4 manages the operation of the facilities 2 installed in the building 1 and the like. For this purpose, the building management device 4 acquires various information indicating the operating state from the building 1 and accumulates the information as operation result information. The operation result information is basically obtained from the facility 2. In the building 1, various sensors 3 are installed. For example, when the air conditioner is not equipped with a measurement unit for measuring the room temperature or the like, the building management device 4 acquires the room temperature measured by the temperature sensor, and And save it in addition to the operation result information.

(4) The above-mentioned operation result information is accumulated in the equipment operation state information storage unit 5 as the equipment operation state information. The data structure of the operation result information differs depending on the type and model of the equipment 2. For example, when the equipment 2 is an air conditioner, the operation result information includes information indicating whether the equipment is operating or stopped, and when the equipment is operating, the operation state of the equipment 2, in other words, the operation state of the equipment 2. Stored. For example, when the equipment 2 is an air conditioner, the operation modes (cooling, heating, dehumidification, etc.) of the air conditioner, the air volume, the set temperature, and the like are accumulated.

When an operation schedule is set for the equipment 2, the equipment control plan information including the setting contents of the operation schedule is registered in the equipment control plan information storage unit 6. The operation schedule can also be expressed as an operation state in the future. For example, when the equipment 2 is an air conditioner, a control plan is set for an operating state such as which air conditioner is to be operated at what operating mode, at what air flow, and at what set temperature. At the scheduled time, the building management device 4 controls the operation of the corresponding facility 2 according to the operation schedule.

管理 The manager of the building 1 wants to use less power in the whole building 1 from the viewpoint of energy saving. For this purpose, energy is saved so that the total power used by each facility 2 (hereinafter also referred to as “power consumption”) in a predetermined period in the future (hereinafter referred to as a “prediction period”), that is, the power consumption of the entire building 1 can be reduced. A plan is created, and the energy saving plan creation support device 10 creates useful information to support creation of the energy saving plan and provides the information to a planner. The planner is a building manager, a building owner, or the like.

The energy saving plan creation support device 10 is assumed to be installed in the building 1 or a management center outside the building together with the building management device 4, but is not limited to this, and may be installed in a desired position. . The energy saving plan creation support device 10 can be realized by a general-purpose computer such as a personal computer (PC).

FIG. 2 is a hardware configuration diagram of a computer forming the energy saving plan creation support device 10 according to the present embodiment. As shown in FIG. 2, the energy saving plan creation support device 10 according to the present embodiment includes a CPU 41, a ROM 42, a RAM 43, a hard disk drive (HDD) 44, a mouse 45 and a keyboard 46 as input means, and a display 47 as display means. An input / output controller 48 and a network interface (IF) 49 as communication means are connected to the internal bus 50 to be connected to each other.

Returning to FIG. 1, the energy saving plan creation support device 10 according to the present embodiment includes a facility operation state information acquisition unit 11, a facility operation state prediction unit 12, a facility control plan information acquisition unit 13, a facility power demand prediction unit 14, a display control It has a unit 15, a display unit 16, an operation receiving unit 17, and a facility control plan changing unit 18. Components not used in the description of the present embodiment are omitted from the drawings.

(4) The facility operation state information acquisition unit 11 is provided as operation result information acquisition means, and acquires the facility operation state information (operation result information) of the facility 2 during the prediction period from the building management apparatus 4. The facility 2 to be acquired may be the facility 2 for which the facility control plan is not set among the facilities 2 installed in the building 1. The equipment operation state prediction unit 12 is provided as an operation state prediction unit, and predicts the operation state of the equipment 2 in the prediction period based on the operation result information acquired by the equipment operation state information acquisition unit 11 to generate the operation state prediction information. Generate. The facility control plan information acquisition unit 13 is provided as control plan information acquisition means, and acquires facility control plan information of the facility 2 in the building 1 during the prediction period from the building management device 4.

The equipment power demand prediction unit 14 is provided as power consumption prediction means, and is based on the equipment control plan information acquired by the equipment control plan information acquisition unit 13 and the operation period prediction information generated by the equipment operation state prediction unit 12, for a prediction period. The power consumption at.

The display control unit 15 controls display on the display unit 16. The display control unit 15 includes an operation state prediction information generation unit 151 and a power consumption prediction information generation unit 152. The operation state prediction information generation unit 151 performs the prediction of the operation state in the prediction period based on the operation state prediction information generated by the equipment operation state prediction unit 12 and the facility control plan information acquired by the facility control plan information acquisition unit 13. Generate operating state prediction information for displaying the plan contents. The power consumption prediction information generation unit 152 generates power consumption prediction information for displaying power consumption (hereinafter, referred to as “prediction power consumption”) in the prediction period predicted by the facility power demand prediction unit 14. The display control unit 15 causes the display unit 16 to display the operating state prediction information and the power consumption prediction information.

The display unit 16 corresponds to the display 47, and displays various information according to the display control by the display control unit 15. The operation receiving unit 17 receives instructions and contents input by the planner using the mouse 45 or the keyboard 46. The equipment control plan changing unit 18 receives the change of the operating state prediction information changed by the plan creator and received by the operation receiving unit 17, and passes it to the equipment control plan information acquiring unit 13. The equipment control plan change unit 18 is provided as a change unit, and updates the equipment control plan information storage unit 6 with the change contents as plan values when the change contents received from the operation reception unit 17 are determined. And reflect it in the equipment control plan.

Each of the components 11 to 18 in the energy saving plan creation support device 10 is realized by a cooperative operation of a computer forming the energy saving plan creation support device 10 and a program operated by the CPU 41 mounted on the computer.

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

Next, the energy saving plan creation support processing according to the present embodiment will be described with reference to the flowchart shown in FIG. This process is started when the application is started by the planner performing a predetermined operation. When starting up, the planner specifies a prediction period.
The planner basically designates one day such as the next business day as the forecast period, but is not limited to this.

First, the facility operation state information acquisition unit 11 acquires the facility operation state information, and the facility control plan information acquisition unit 13 acquires the facility control plan information from the building management device 4 (step 110). Subsequently, the equipment operation state prediction unit 12 probabilistically predicts a future equipment operation state corresponding to the prediction period from the acquired equipment operation state information (step 120). The equipment operation state prediction unit 12 may predict the equipment operation state using the same technology as before. Incidentally, in order to improve the prediction accuracy, it is preferable that the period of the acquired equipment operation state information is relatively long and more information is referred to. On the other hand, if the acquisition period is relatively long, the processing load required for prediction increases. Generally, the equipment operation state information for a predetermined period such as the latest one month or the equipment operation state information at the same time as the current time is referred to. The facility operating state information acquisition unit 11 acquires facility operating state information included in an appropriate period by comprehensively considering these facts. The facility control plan information may be obtained by acquiring information on the power demand forecast period.

Subsequently, the facility power demand forecasting unit 14 calculates the future facility power demand corresponding to the same forecast period as the above from the predicted facility operation state and the acquired facility control plan information, that is, the predicted power consumption of the entire building 1 on a probabilistic basis. (Step 130). In the present embodiment, the stochastic prediction of the predicted power consumption is represented by an error bar, but the error bar will be described later.

Subsequently, the operation state prediction information generation unit 151 in the display control unit 15 uses the operation state prediction information used to display a time chart of the equipment operation state and the control plan based on the predicted equipment operation state and the acquired equipment control plan information. Generate The power consumption prediction information generation unit 152 in the display control unit 15 generates power consumption prediction information used to display a graph of the predicted facility power demand. Then, the display control unit 15 causes the display unit 16 to display a time chart and a graph based on the generated information (step 140). FIG. 4 shows a display example of the time chart and the graph. Here, the displayed time chart and graph will be described.

FIG. 4 shows an example in which two types of information are displayed vertically. The upper information is a time chart of the equipment operation state and the control plan, and the lower information is a graph of the equipment power demand. FIG. 4 shows an example in which the time axis of the time chart and the graph are aligned and displayed vertically, but the display form is not limited to this, and the display may be arranged horizontally or displayed on another display. Or you may. Both the time chart and the graph have the horizontal axis direction as the prediction period.

Also, in the present embodiment, the prediction period (for example, one day) is divided into a plurality of time zones, and the operating state, control plan, and power consumption predicted for each time zone are obtained and displayed. Although the prediction period forms a time zone in units of 30 minutes in accordance with a general demand time period, it is not necessary to limit to this. FIG. 4 shows data from 6:00 to 9:30. Display control is performed so that the screen can be scrolled by a predetermined operation to display another time zone. I have.

The time chart includes one or a plurality of setting items for the equipment 2 and item values in each time zone set for each of the setting items in association with the equipment name for identifying the equipment 2 installed in the building 1. Have been. In the time chart, information without a color in the background is the equipment operation state information (predicted value), and information with a colored background is the equipment control plan information (planned value). As described above, in the time chart, the predicted value or the planned value is displayed separately for each facility for each time zone.

による According to the setting example shown in FIG. 4, the time chart for the air conditioner A and the ventilation fan B indicates the predicted value, and the time chart for the light C indicates the planned value. For example, in the air conditioner A, the cooling mode is set as the operation mode, the set temperature is set at 26 degrees, the air volume is set as medium, and the power is turned on from 7:30 to 8:00 from the past results. It can be seen that is predicted. The predicted value is an actual value indicating the operating state selected as having the highest probability of being probable in the time period. In addition, it can be seen that the illumination C is planned to be 100% illuminated from 7:00 to 7:30 and to be turned on in the constant lighting mode. The operation of the lighting C is not derived from the prediction based on the past performance, but the operation content is planned in the prediction period as described above. One of the features of the present embodiment is that, as illustrated in FIG. 4, the predicted operation state of the facility 2 and the planned operation plan of the facility 2 are displayed together. .

In the graph, the power consumption or the amount of power in the entire building 1 for each predetermined time zone (in the present embodiment, in units of 30 minutes) is shown in a graph format. In the following description, it is assumed that the power consumption is displayed. The predicted power consumption in each time zone is represented by the height of a graph.

The graph further displays an error bar 51 for each time zone. As described above, the predicted value of the equipment operating state displayed in FIG. 4 is selected and set from the actual values set in the past, the actual value most likely to be probable most stochastically. However, when the prediction period reaches the actual time (when the current time reaches the prediction period), there is a case where a value that is not stochastically the highest is actually selected as the set value. More specifically, it is predicted that the air conditioner A is to be set to 26 degrees for the cooling operation from 9:00 to 9:30, but when it is actually 9:00, the cooling operation is performed at 25 degrees. There is a possibility that the cooling operation will be performed with the temperature set. The error bar 51 indicates a possible range of the predicted power consumption in consideration of a power consumption error that may occur when the operation is performed at a setting value different from the prediction. Furthermore, the target power consumption 52 in each time zone is displayed on the graph.

The planner refers to the time chart and the graph shown in FIG. 4 displayed on the display 47, and how much power is consumed when each facility 2 is operated in each time zone in the prediction period. You can know what. Also, by comparing the predicted power consumption (graph) with the target power consumption 52, it can be easily recognized that the predicted power consumption has not achieved the target. Further, from the relationship between the error bar 51 and the target power consumption 52, when the equipment 2 is not operated as predicted (when the operation requiring power exceeding the prediction is performed), the power consumption has not achieved the target. It can be easily recognized that the possibility arises.

By the way, the present embodiment provides a function of displaying detailed information of prediction based on the operation result information of each facility 2 in each time zone. To use this function, the planner operates the mouse 45 to move the cursor to an item for which detailed information is to be referred. FIG. 5 shows a display example of the detailed information when the cursor is positioned on the display area of the item 9:00 of the air conditioner A. In the present embodiment, a display example in which detailed information is displayed in a display form called a balloon has been described. However, the present invention is not limited to this. For example, the detailed information may be displayed in another window.

The detailed information includes a probability distribution in which possible values (values of random variables) of each item are associated with probabilities of each value. In the time chart, only the values with the highest probabilities based on the actual information, such as “cooling”, “26 ° C.” and “medium”, are shown. However, when detailed information is displayed, the probabilities of all possible values can be referred to.

FIG. 6 shows a display example when the cursor is placed on the display area of the item at 7:30 of the ventilation fan B. At 7:30, the predicted power consumption exceeds the target power consumption 52, so the planner displays the detailed information at 7:30 and refers to the probability distribution so that the predicted power consumption can be reduced to the target power consumption 52. Find out the predicted value that is considered to be a factor exceeding. Then, a simulation is performed, and the item values are changed so that the predicted power consumption becomes equal to or less than the target power consumption 52.

For example, in order to reduce the predicted power consumption at 7:30, the planner performs a predetermined operation to change the mode of the ventilation fan B from heat exchange to normal. FIG. 7 shows a display example at this time. As illustrated in FIG. 7, the display mode of the mode of the ventilation fan B to be changed is changed to clearly indicate that the mode is selected as the change target. In FIG. 7, the background is shown by a dot pattern, but the present invention is not limited to this.

When the operation accepting unit 17 accepts the change of the set value by the planner as described above (Y in step 150), the equipment power demand forecasting unit 14 reflects the changed set value in the equipment control plan. After that (step 160), the above processing is performed to predict the future equipment power demand again (step 130). Since the contents of the change to the equipment control plan have not been determined yet, the equipment control plan information storage unit 6 of the building management device 4 is not updated. Then, the display control unit 15 causes the display unit 16 to display a time chart and a graph in which the changed set value is reflected (Step 140). FIG. 7 shows a display example of the time chart and the graph in which the change is reflected as described above.

As illustrated in FIG. 7, when the mode of the ventilation fan B is changed from a relatively large heat exchange to a relatively small power consumption, the predicted power consumption at 7:30 is lower than the target power consumption 52. It became so. Further, the range indicated by the error bar 51 is also changed to be narrow. However, the predicted power consumption still exceeds the upper limit value indicated by the error bar 51. Here, a method of calculating the range indicated by the error bar 51 will be described with reference to FIGS.

FIG. 8 is a diagram illustrating a method of calculating a probability distribution of power consumption in the ventilation fan B of the equipment.
First, when the mode of the ventilation fan B at 7:30 is changed to “normal”, the operation in the normal mode at 7:30 after the change is no longer a predicted value but a planned value. Accordingly, the probability of operation in the normal mode is 100%, and the probability of operation in the OFF (operation stop) and the heat exchange mode corresponding to the other modes is 0%. In addition, it is assumed that the probability distributions of the operation at the low, medium, and high airflow are 50%, 30%, and 20%, respectively, from the operation result information. Here, assuming that the power consumption during the operation in the normal mode when the air volume is low, medium, and high can be obtained as 30 W, 50 W, and 70 W from the rated power, the operation is performed with the power consumption of 30 W, 50 W, and 70 W. The probability distribution of the power consumption at this time is 50%, 30%, and 20%.

FIG. 9 is a diagram showing the probability distribution of the air conditioner A and the lighting C in addition to the probability distribution of the power consumption in the ventilation fan B. The probability distribution of the air conditioner A is calculated in the same manner as described above. Since the operation in the air conditioner A is obtained by prediction, the probability of each power consumption indicated by the probability distribution of the air conditioner A varies, but the control plan is to set the lighting C to be always on at 100% illuminance. Therefore, the probability distribution of the illumination C is obtained assuming that the power consumption (150 W) when the illumination C is constantly lit at 100% illuminance is 100%.

Here, assuming that the air conditioner A, the ventilation fan B, and the lighting C are all the facilities 2 in the building 1, the probability distribution of the power consumption of all the facilities 2 is calculated by convoluting the probability distribution of all the facilities 2. calculate. Then, in the present embodiment, both-side sections are calculated such that the integral (area) of the probability distribution of the power consumption of all the facilities 2 becomes 95%. Of course, the error bar 51 may be generated with a numerical value for determining the upper and lower limits other than 95%, or may be generated as a one-sided section. In this way, the width of the error bar 51 (the range indicated by the error bar) in each prediction time zone is calculated.

As described above, the predicted power consumption is the power consumption predicted when the equipment 2 for which the schedule is not set in the prediction period is operated with the highest probability predicted value obtained based on the operation result information. It is. That is, the power consumption when the equipment 2 is operated with the setting content that is most likely to be stochastically obtained, and the error bar 51 indicates the index data that stochastically represents the possible error of the predicted power consumption. It is.

と When the operating state of a certain facility (the ventilation fan B in the above example) 2 changes from the predicted value to the planned value, the operating state in the time zone is fixed, so that the range of the error indicated by the error bar 51 also becomes narrow. As shown in FIG. 7, when the predicted power consumption falls below the target power consumption 52, the energy saving plan may be determined by validating only this setting change, but the upper limit of the error bar 51 is still lower than the target power consumption 52. Since the current power consumption exceeds the target power consumption 52, there is a possibility that the actual power consumption when the current time exceeds 7:30 will exceed the target power consumption 52.

In this case, the planner makes an adjustment so as to further change the set value of the other equipment 2. This will be described with reference to FIG. For example, for the air conditioner A, a predicted value obtained from the operation result information is set. According to the display example of the detailed information, 26 degrees, which is most likely to be set stochastically, is set. However, if this is changed to 27 degrees or more, reduction in power consumption can be expected.
FIG. 10 illustrates this by setting the item of the set temperature to “≧ 27 ° C.”.

Therefore, if the planner changes the set temperature of the air conditioner A at 7:30 to 27 degrees, the operation receiving unit 17 receives the change (Y in step 150), and the equipment power demand predicting unit 14 Reflects the changed set value in the equipment control plan (step 160), and performs the above processing to predict the future equipment power demand again (step 130). The display control unit 15 causes the display unit 16 to display a time chart and a graph in which the changed set values are reflected (Step 140). FIG. 10 shows a display example of the graph in which the change is reflected as described above. As a result, it can be confirmed that the upper limit of the error bar 51 at 7:30 becomes the target power consumption 52 or less.

As described above, the planner refers to the information on the power consumption displayed on the graph of the display 47, and makes the prediction in the time chart as necessary so that the predicted power consumption in the prediction period is equal to or less than the target power consumption. Change the value. If no further adjustment is required, a predetermined operation for terminating the process is performed. In step 150, the case where the operation reception unit 17 does not receive the change content corresponds to the reception of the processing end operation. In this case (N in step 150), the facility control plan changing unit 18 stores the contents changed by the above processing, that is, the facility control plan to be added, in the facility control plan information storage unit 6 of the building management apparatus 4. The change is reflected in the equipment control plan (step 170).

FIG. 11 shows a display example of the time chart and the graph determined by the change. From the display example of the time chart, it can be seen that the equipment control plan is set for the lighting C in the prediction period. In addition, in the air conditioner A, it can be seen that the set temperature after 7:30 has been changed as the planned value. In addition, it can be seen that the planned value of the ventilation fan B that the mode at 7:30 is “normal” is set.

Embodiment 2 FIG.
FIG. 12 is a block diagram showing an energy saving plan creation support device 10 according to the present embodiment. The same components as those in the first embodiment are denoted by the same reference numerals, and description thereof will be omitted. The energy saving plan creation support device 10 according to the present embodiment has a configuration in which a power reduction target setting unit 21 and a facility control plan generation unit 22 are added to the configuration of the first embodiment. Note that the hardware configuration may be the same as in the first embodiment.

The power reduction target setting unit 21 is a unit for setting a target power consumption. In the present embodiment, the target power consumption specified by the planner and received by the operation receiving unit 17 is used. However, for example, contract power may be acquired and automatically set. The facility control plan generation unit 22 is provided as control plan information generation means, and is predicted based on the operation result information until the power consumption (predicted power consumption) predicted by the facility power demand prediction unit 14 becomes equal to or less than the target power consumption. The operating state of the installed facility is changed to an operating state as a control plan, and equipment control plan information of the facility is generated. In the first embodiment, the facility control plan changing unit 18 performs the process of generating the facility control plan information by changing the predicted value manually selected by the planner to the planned value. In the embodiment, the facility control plan generation unit 22 automatically performs this change processing. The power reduction target setting unit 21 and the facility control plan generation unit 22 are realized by a cooperative operation of a computer forming the energy saving plan creation support device 10 and a program operated by the CPU 41 mounted on the computer.

Next, the energy saving plan creation support processing according to the present embodiment will be described with reference to the flowchart shown in FIG. The same processes as those in the first embodiment are denoted by the same step numbers, and description thereof will be omitted as appropriate. The target power consumption is specified by the planner at the time of starting the application.

First, the equipment operation state information and the equipment control plan information are acquired from the building management device 4, the future equipment operation state is stochastically predicted from the equipment operation state information, and the future equipment power demand is stochastically predicted. (Steps 110 to 130) may be the same as in the first embodiment.

In the first embodiment, the time chart and the graph are displayed based on the generated information. In the present embodiment, however, the facility control plan generating unit 22 sets the upper limit of the predicted future facility power demand, that is, The upper limit value indicated by the error bar 51 is compared with the power reduction target specified by the planner, that is, the target power consumption (step 210). As a result of the comparison, when the predicted power consumption is equal to or less than the target power consumption and the power reduction target is achieved (Y in step 220), the display control unit 15 displays the time chart and the graph on the display unit 16 at this time. It is displayed (step 140). When the planner refers to the displayed facility control plan and performs a predetermined operation for approving the content or not approving the content, the operation receiving unit 17 receives the operation. . When the planner has performed an operation for approval (Y in step 230), the facility control plan changing unit 18 stores the approved facility control plan in the facility control plan information storage unit 6 of the building management device 4. Thus, the change is reflected in the equipment control plan (step 170).

On the other hand, if the predicted power consumption does not reach the power reduction target because it exceeds the target power consumption (N in step 220), and if the predicted power consumption has achieved the power reduction target, the planner If the approval is not obtained (N in step 230), the facility control plan generation unit 22 presents the operating state of the content whose approval is obtained by the plan creator so that the predicted power consumption achieves the power reduction target. The control plan is updated by performing the following processing so that it can be performed (step 240).

Updating the control plan means, like Embodiment 1, changing the predicted value obtained based on the operation result information to the planned value based on the equipment control plan so that the predicted power consumption becomes equal to or less than the target power consumption. It is. Of course, the set equipment control plan may be changed, but it is basically preferable to change the predicted value having an uncertain element. In the present embodiment, the predicted value is changed to the plan value by the two methods shown in FIGS.

FIG. 14 shows the first method. In FIG. 14, a circle is attached to a value that is a candidate for changing the current setting content (predicted value) to a different value. For example, selectable values other than the predicted value “heat exchange” of the mode of the ventilation fan B are “normal” and “OFF”. Here, “normal” having a high probability is set following “heat exchange”. Attempt to change. Similarly, in the case of the air conditioner A, the predicted value of the mode “cooling” is set to “dehumidification”, the set temperature is set to “27 ° C.”, and the “medium” air volume is set to “weak”. In addition, it is shown that a value with a high probability is set as a change candidate following the current setting, and does not indicate that these are changed at the same time. The equipment control plan change unit 18 changes at least one item from among these change candidates, and searches for a combination whose predicted power consumption is equal to or less than the target power consumption. At the set temperature of the air conditioner A, “24 ° C.” and “25 ° C.” are not extracted as change candidates because the energy saving effect cannot be expected from the current set value “26 ° C.”. The same applies to “strong” airflow. If the predicted power consumption still does not become lower than the target power consumption even when the value following the predicted value with the highest probability is used, the value with the next highest probability, for example, “OFF” of the mode of the ventilation fan B is also changed. Become a change candidate.

FIG. 15 shows a second method. In FIG. 15, similarly to FIG. 14, values that are candidates for changing the current setting content (predicted value) to a different value are marked with a circle. The equipment control plan change unit 18 arranges the probabilities corresponding to the values of the change candidates in order. There is no need to set any particular rules for the arrangement order. Note that the curves representing the extraction are illustrated only for the “normal” and “OFF” of the mode of the ventilation fan B and “OFF” of the mode of the air conditioner A. In the example shown in FIG. 15, the total of the arranged probabilities is 130%. Here, the equipment control plan change unit 18 generates pseudorandom numbers that follow a uniform distribution in the range 0 to 130. For example, when the generated random number is 80, the position corresponding to the random number corresponds to “27 ° C.” of the set temperature of the air conditioner A. Therefore, the equipment control plan changing unit 18 changes the predicted value “26 ° C.” of the set temperature of the air conditioner A to the planned value “27 ° C.”. The same operation and effect as in the first method can be obtained by setting the number of generated random numbers to an arbitrary number.

When the facility control plan change unit 18 reflects the changed set value in the facility control plan, the facility power demand prediction unit 14 performs the above-described processing to predict future facility power demand again (step 130). Since the contents of the change to the equipment control plan have not been determined yet, the equipment control plan information storage unit 6 of the building management device 4 is not updated.

If the predicted power consumption still exceeds the target power consumption (N in step 220) during the process of changing the predicted value to the plan value, and even if the predicted power consumption has reached the power reduction target, Regardless, if approval is not obtained by the planner (N in step 230), the control plan update process (step 240) described above is performed again. In this case, the equipment control plan not adopted is After being discarded and returned to the original state, the control plan update processing is performed.

Then, when the predicted power consumption becomes equal to or less than the target power consumption (Y in step 220), and the planner approves the equipment control plan (Y in step 230), the equipment control plan changing unit 18 changes the approved equipment control plan. Is stored in the facility control plan information storage unit 6 of the building management device 4 to reflect the change in the facility control plan (step 170).

Embodiment 3 FIG.
FIG. 16 is a block diagram showing the configuration of the energy saving plan creation support device 10 according to the present embodiment. The same components as those in the first embodiment are denoted by the same reference numerals, and description thereof will be omitted. The energy saving plan creation support device 10 according to the present embodiment has a configuration in which an external information acquisition unit 31 is added to the configuration of the first embodiment. Note that the hardware configuration may be the same as in the first embodiment. Further, the building management device 4 has an external information storage unit 7.

External information is information that is not directly related to the operation control of the facility 2 but may affect settings and the like for the facility 2. For example, it is forecast (plan) information and actual information on the weather near the building 1, the event held in the building 1, the occupancy status of each room in the building 1, and the like.

When the equipment operation state prediction unit 12 predicts the operation state of the equipment 2 in the prediction period based on the operation result information, the operation state in the prediction period is referred to by referring to external information such as weather when the operation result is obtained. When predicted, an improvement in prediction accuracy can be expected. Therefore, the external information acquisition unit 31 acquires external information (actual) in the same period as the equipment operation state information acquired by the equipment operation state information acquisition unit 11 and external information (forecast, plan) in the prediction period. Then, the equipment operation state prediction unit 12 predicts the operation state of the equipment 2 during the prediction period by referring to external information in addition to the operation result information. For example, when the weather forecast in the forecast period is fine, the operation information refers to only the result information when the weather is fine among the operation result information, or weights the result information when the weather is fine to operate the facility 2. Predict the state.

According to the present embodiment, it is possible to improve the accuracy of predicting the operating state of the equipment 2 during the prediction period by referring to the external information.

Note that Embodiment 2 and Embodiment 3 may be implemented in combination as appropriate. Also, within the scope of the present invention, any constituent element of each embodiment can be modified, or any constituent element can be omitted in each embodiment.

An energy saving plan creation support apparatus, a program, an apparatus, and a method according to the present invention include: a control plan information acquisition unit that acquires control plan information in a predetermined prediction period; an operation result information acquisition unit that acquires operation result information; Since it has an operation state prediction unit that generates prediction information, a power consumption prediction unit that predicts power consumption in a prediction period, and a display control unit that performs display control, it is possible to support the creation of a highly accurate energy saving plan. In particular, it is suitable for supporting the creation of an energy saving plan for enabling accurate energy saving.

1 building, 2 facilities, 3 sensors, 4 building management device, 5 facility operation status information storage unit, 6 facility control plan information storage unit, 7 external information storage unit, 10 energy saving plan creation support device, 11 facility information acquisition Unit, 12 facility operation state prediction unit, 13 facility control plan information acquisition unit, 14 facility power demand prediction unit, 15 display control unit, 16 display unit, 17 operation reception unit, 18 facility control plan change unit, 21 power reduction target setting Unit, 22 equipment control plan generation unit, 31 external information acquisition unit, 41 CPU, 42 ROM, 43 RAM, 44 hard disk drive (HDD), 45 mouse, 46 keyboard, 47 display, 48 input / output controller, 49 network interface (IF ), 50 internal bus, 151 operating state prediction information Generating unit, 152 power estimation information generation unit.

Claims

Control plan information acquisition means for acquiring control plan information for a predetermined prediction period of the equipment in the building,
Operation result information acquisition means for acquiring operation result information indicating a past operation state of equipment for which control plan information has not been set in at least the prediction period among the facilities in the building,
Operating state prediction means for generating operation state prediction information by predicting the operation state of the equipment in the prediction period based on the operation result information of the equipment for which the control plan information is not set,
Power consumption prediction means for predicting power consumption in a prediction period based on the control plan information and the operation state prediction information,
Display control means for performing display control such that control plan information and operating state prediction information, and the predicted power consumption predicted by the power consumption prediction means are displayed together on the display means,
An energy saving plan creation support device characterized by having:
The display control means displays the control plan information, the operating state prediction information, and the predicted power consumption for each time zone formed by dividing the prediction period into a plurality of sections. Energy saving plan creation support device.
3. The energy-saving plan creation support device according to claim 2, wherein the display control unit displays a probability distribution of an operating state corresponding to a time zone and equipment selected by a user. 4.
The power consumption prediction means re-predicts power consumption reflecting the changed content when the setting content indicated by the operation state prediction information corresponding to the time zone and the facility selected by the user is changed. The energy saving plan creation support device according to claim 2, wherein
2. The energy saving apparatus according to claim 1, wherein the operation state prediction unit generates the operation state prediction information by using the actual value that is most likely to be obtained by the equipment in the prediction period as the predicted value of the equipment as the predicted value. Plan creation support device.
Until the power consumption predicted by the power consumption prediction unit becomes equal to or less than the target power consumption, the operation state of the facility predicted based on the operation result information is automatically changed to a control plan and control plan information of the facility is generated. The energy saving plan creation support device according to claim 1, further comprising a control plan information generating unit that performs the control.
Computer
Control plan information acquisition means for acquiring control plan information for a predetermined prediction period of equipment in the building,
Operation result information acquisition means for acquiring operation result information indicating a past operation state of the equipment for which at least the control plan information is not set in the prediction period among the facilities in the building,
Operating state prediction means for generating operating state prediction information by predicting the operating state of the equipment in the prediction period based on the operation result information of the equipment for which the control plan information is not set,
Power consumption prediction means for predicting power consumption in a prediction period based on the control plan information and the operation state prediction information,
Display control means for performing display control such that the control plan information and the operation state prediction information, and the predicted power consumption predicted by the power consumption prediction means are displayed together on the display means;
Program to function as.
The display control means displays the control plan information, the operating state prediction information, and the predicted power consumption for each time zone formed by dividing the prediction period into a plurality of sections. Program.
The program according to claim 8, wherein the display control means displays a probability distribution of an operating state corresponding to a time zone and equipment selected by a user.
The power consumption prediction means re-predicts power consumption reflecting the changed content when the setting content indicated by the operation state prediction information corresponding to the time zone and the facility selected by the user is changed. The program according to claim 8, wherein
The program according to claim 7, wherein the operating state prediction unit generates the operating state prediction information using the actual value that is most likely to be probable for the facility in the prediction period as the predicted value of the facility. .
Said computer,
Until the power consumption predicted by the power consumption prediction means becomes equal to or less than the target power consumption, the operation state of the equipment predicted based on the operation result information is automatically changed to a control plan and control plan information of the equipment is generated. The program according to claim 7, wherein the program functions as control plan information generating means.
Executing the program according to any one of claims 7 to 12,
An apparatus that functions as the control plan information acquisition unit, the operation result information acquisition unit, the operation state prediction unit, the power consumption prediction unit, and the display control unit.
Control plan information obtaining means for obtaining control plan information in a predetermined prediction period of the facility in the building,
Operation result information acquiring means for acquiring operation result information indicating a past operation state of equipment in which control plan information is not set in at least the prediction period among the facilities in the building,
Operating state prediction means for generating operation state prediction information by predicting the operation state of the equipment in the prediction period based on the operation result information of the equipment for which the control plan information is not set,
Power consumption prediction means for predicting power consumption in a prediction period based on the control plan information and the operation state prediction information;
Display control means, control plan information and operating state prediction information, and performing display control to display on the display means together the predicted power consumption predicted by the power consumption prediction means,
A method comprising: