JP7224119B2 - Energy saving plan creation support device and program - Google Patents

Description

TECHNICAL FIELD The present invention relates to an energy-saving plan creation support device and program, and more particularly, to support for creation of an energy-saving plan for enabling energy saving to be achieved with high accuracy.

BACKGROUND ART Conventionally, planners are provided with information that enables them to formulate effective energy-saving plans by creating appropriate information based on performance information such as information on electricity usage and information on power consumption.

For example, a time chart showing the operation statuses of power consuming devices and power supply relays capable of controlling the power supply status provided in the building in chronological order, and the states described in the time chart. A power consumption graph created by summarizing the power consumption when the power consumption equipment and the power supply repeater are operated in chronological order is displayed, and the administrator and the user can refer to this displayed information. A technology has been proposed that makes an energy-saving plan by setting the contents of energy-saving control for each device from each standpoint (for example, Patent Literature 1).

Patent No. 5963664 JP-A-2005-158020 JP 2011-214794 A JP 2016-044855 A JP 2012-196017 A JP 2013-219893 A Japanese Patent Application Laid-Open No. 2015-023668 JP-A-2000-274772

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

However, in the conventional technology, information is provided by estimating the future operating status of equipment based on the current or past operating status. is not provided, it is not always possible to draw up an appropriate energy conservation plan.

The present invention provides the plan for facilities for which a plan for operation has been set, and the future operating status for facilities for which the plan has not been set, which is predicted from the performance information regarding the operation, with high accuracy. The purpose is to support the drafting of energy conservation plans.

An energy saving plan creation support device according to the present invention includes control plan information acquisition means for acquiring control plan information for equipment in a building in a predetermined prediction period, and control plan information for equipment in the building for which control plan information is set at least in the prediction period. means for acquiring operation record information indicating the past operating state of equipment that has not been set, and predicts the operating state of the equipment in the prediction period based on the operation record information of equipment for which control plan information has not been set. power consumption prediction means for predicting power consumption in the prediction period based on the control plan information and the operating state prediction information; control plan information; operating state prediction information; display control means for performing display control so as to display on the display means for each time period formed by dividing the prediction period into a plurality of periods by combining the predicted power consumption predicted by the power consumption prediction means; The display control means displays, in equipment for which the control plan information is not set, the setting contents indicated by the operating state prediction information of the equipment so as to be changeable for each time zone, and the control plan information is not set. The upper limit of the predicted power consumption in the time period selected by the user, which is obtained by considering the error that may occur when the equipment operates differently from the setting contents of the operating state prediction information , and the target power consumption in the time zone, and the power consumption prediction means displays the changed content when the setting content indicated by the operating state prediction information corresponding to the time zone and equipment selected by the user is changed. This is to re-predict the power consumption that reflects the

Further, the display control means causes the operating state prediction information and the control plan information to be displayed in different display forms .

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

Also, the upper limit value in the time period selected by the user is calculated with reference to the probability distribution of the operating state corresponding to the time period and the facility.

Further, the operating state prediction means generates the operating state prediction information by using, as the predicted value of the facility, the performance value that is most likely to be obtained by the facility during the prediction period.

Further, 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 record information is automatically changed to the control plan, and the control plan information of the equipment It has a control plan information generating means for generating.

A program according to the present invention comprises a computer, control plan information acquisition means for acquiring control plan information for equipment in a building in a predetermined prediction period, and control plan information for equipment in the building for which control plan information is not set at least in the prediction period. An operation result information acquisition means for acquiring operation result information indicating the past operation condition of the equipment, and predicting the operation condition 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, and the operation condition Based on the operating state prediction means for generating prediction information, the power consumption prediction means for predicting the power consumption in the prediction period based on the control plan information and the operating state prediction information, the control plan information, the operating state prediction information, and the power consumption prediction means It functions as a display control means for performing display control to display on the display means for each time zone formed by dividing the prediction period into a plurality of predicted power consumptions together, and the display control means In the equipment for which the control plan information is not set, the setting contents indicated by the operating state prediction information of the equipment are displayed so as to be changeable for each time zone, and the equipment for which the control plan information is not set is the operating state prediction The upper limit of the predicted power consumption for the time period selected by the user and the target for that time period, obtained by considering the error that may occur when the information is set and the operation is different. When the setting contents indicated by the operating state prediction information corresponding to the time zone and equipment selected by the user are changed, the power consumption reflecting the changed contents is displayed. is repredicted.

According to the present invention, by providing information on the plan for equipment for which an operation plan has been set, and by providing information on the future operating state predicted from the performance information on operation for equipment for which the plan is not set, the accuracy It is possible to support the formulation of high energy conservation plans.

BRIEF DESCRIPTION OF THE DRAWINGS It is a block block diagram which shows Embodiment 1 of the energy-saving planning support apparatus which concerns on this invention. 2 is a hardware configuration diagram of a computer that forms the energy saving plan creation support device according to Embodiment 1. FIG. 4 is a flowchart showing energy saving plan creation support processing in Embodiment 1. FIG. 4 is a diagram showing a display example according to Embodiment 1. FIG. FIG. 5 is a diagram showing a display example when detailed information is displayed according to the operation of the planner in FIG. 4; FIG. 5 is a diagram showing another display example when detailed information is displayed according to the operation of the planner in FIG. 4; FIG. 5 is a diagram showing a display example when the planner changes the predicted value in FIG. 4; 4 is a diagram used for explaining a method of determining the width of an error bar displayed on the screen in Embodiment 1; FIG. FIG. 8 is another diagram used for explaining a method of determining the width of an error bar displayed on the screen in Embodiment 1; FIG. 5 is a diagram showing another display example when the planner changes the predicted value in FIG. 4; FIG. 4 is a diagram showing a display example when predicted power consumption in a prediction period is determined in Embodiment 1; FIG. 11 is a block configuration diagram showing an energy-saving planning support device according to Embodiment 2; 13 is a flowchart showing energy saving plan creation support processing in Embodiment 2. FIG. FIG. 11 is a diagram used to explain the contents of facility control plan update processing in Embodiment 2; FIG. 11 is a diagram used to explain the contents of another facility control plan update process in Embodiment 2; FIG. FIG. 11 is a block configuration diagram showing an energy-saving planning support device according to Embodiment 3;

Preferred embodiments of the present invention will be described below with reference to the drawings.

Embodiment 1.
FIG. 1 is a block configuration diagram showing Embodiment 1 of an energy-saving planning 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. As shown in FIG. A building 1 is an example of a facility in which facilities 2 to be managed by the building management device 4 are installed. A building 1 is equipped with facilities 2 such as air conditioning, lighting, fans (ventilation fans), and the like.

The building management device 4 manages the operation of the facility 2 installed in the building 1 . For this purpose, the building management device 4 acquires various types of information indicating the operational status from the building 1 and accumulates them as operational record information. Operation record information is basically acquired from the facility 2 . Various sensors 3 are installed in the building 1. For example, if the air conditioner is not equipped with means for measuring room temperature, the building management device 4 acquires the room temperature measured by the temperature sensor, is added to the operation record information and saved.

In the facility operation state information storage unit 5, the above-described operation record information is accumulated as facility operation state information. The data configuration of the operation record information differs depending on the type, model, etc. of the facility 2 . For example, if the equipment 2 is an air conditioner, the operation record information includes information as to whether it is in operation or not, and if it is in operation, the operating status of the equipment 2, in other words, the operational status of the equipment 2. accumulated. For example, if the facility 2 is an air conditioner, the operation mode (cooling, heating, dehumidification, etc.), air volume, set temperature, etc. of the air conditioner are accumulated.

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

The manager of building 1 wants to reduce the power used in the entire building 1 from the viewpoint of energy saving. For this reason, energy conservation measures are being taken to reduce the total amount of power (hereinafter also referred to as "power consumption") used by each facility 2 during a predetermined period in the future (hereinafter referred to as "prediction period"), that is, the power consumption of the entire building 1. A plan is created, and the energy saving plan creation support device 10 creates useful information to support the creation of the energy saving plan and provides it to the planner. The planner is a building manager, building owner, or the like.

It is assumed that the energy saving plan creation support device 10 is installed in the building 1 or a management center outside the building together with the building management device 4, but it is not necessary to be limited to this, and it 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 that forms 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 in 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 an internal bus 50 .

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

The facility operation state information acquisition unit 11 is provided as an operation record information acquisition unit, and acquires facility operation state information (operation record information) of the facility 2 in the prediction period from the building management device 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 facility operating state prediction unit 12 is provided as operating state prediction means, and predicts the operating state of the facility 2 in the prediction period based on the actual operation information acquired by the facility operating state information acquisition unit 11 to obtain operating state prediction information. Generate. The equipment control plan information acquisition unit 13 is provided as control plan information acquisition means, and acquires equipment control plan information for the prediction period of the equipment 2 in the building 1 from the building management device 4 .

The equipment power demand forecasting unit 14 is provided as power consumption forecasting means, and based on the equipment control plan information acquired by the equipment control plan information acquisition unit 13 and the operating state prediction information generated by the equipment operating state prediction unit 12, the prediction period Predict power consumption in

The display control unit 15 performs display control on the display unit 16 . The display control unit 15 includes an operating state prediction information generation unit 151 and a power consumption prediction information generation unit 152 . The operating state prediction information generating unit 151 predicts the operating state in the prediction period based on the operating state prediction information generated by the facility operating state prediction unit 12 and the facility control plan information acquired by the facility control plan information acquisition unit 13. Generate operating status forecast information to display the plan contents. The power consumption prediction information generation unit 152 generates power consumption prediction information for displaying power consumption (hereinafter referred to as “predicted 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 of the display control unit 15 . The operation reception unit 17 receives instructions and details input by the planner using the mouse 45 or keyboard 46 . The equipment control plan changing unit 18 receives the change in the operating state prediction information changed by the planner and received by the operation receiving unit 17 , and passes the change to the equipment control plan information acquiring unit 13 . Further, the equipment control plan change unit 18 is provided as change means, and when the change received from the operation reception unit 17 is confirmed, the equipment control plan information storage unit 6 is updated with the change as a plan value. , reflected in the equipment control plan.

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

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

Next, the energy-saving planning support processing in this embodiment will be described using the flowchart shown in FIG. This processing is started when the application is activated by the planner performing a predetermined operation. The planner specifies the forecast period at startup. The planner basically designates one day, such as the next business day, as the forecast period, but it is not necessary to limit it to this.

First, the facility operating state information acquiring unit 11 acquires facility operating state information, and the facility control plan information acquiring unit 13 acquires facility control plan information from the building management device 4 (step 110). Subsequently, the facility operating state prediction unit 12 probabilistically predicts the future facility operating state corresponding to the prediction period from the acquired facility operating state information (step 120). The facility operating state prediction unit 12 may predict the facility operating state using the same technology as before. By the way, in order to improve the prediction accuracy, it is preferable to refer to more information by relatively lengthening the period of equipment operating state information to be acquired. On the other hand, if the acquisition period is relatively long, the processing load required for prediction increases. In general, the facility operating state information for a predetermined period such as the last month or the facility operating state information for the same period as the present is referred to. The facility operating state information acquisition unit 11 comprehensively considers these matters and acquires facility operating state information included in an appropriate period. For the equipment control plan information, it is sufficient to acquire information on the forecast period of power demand.

Subsequently, the equipment power demand forecasting unit 14 probabilistically predicts the future equipment power demand corresponding to the same prediction period as above, that is, the predicted power consumption of the entire building 1, based on the predicted equipment operation state and the acquired equipment control plan information. (step 130). In the present embodiment, the probabilistic prediction of the predicted power consumption is represented by error bars, which will be described later.

Subsequently, the operating state prediction information generation unit 151 in the display control unit 15 generates operating state prediction information used for displaying the time chart of the facility operating state and the control plan based on the predicted facility operating state and the acquired facility control plan information. to generate Also, the power consumption prediction information generation unit 152 in the display control unit 15 generates power consumption prediction information used for displaying a graph of predicted equipment power demand. Then, the display control unit 15 causes the display unit 16 to display the time chart and the graph based on the generated information (step 140). A display example of this time chart and graph is shown in FIG. Here, the displayed time charts and graphs 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 facility operation status and control plan, and the lower information is a graph of facility 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 form of display is not limited to this. You can In both the time chart and the graph, the horizontal axis direction is the prediction period.

Further, in this embodiment, the prediction period (for example, one day) is divided into a plurality of time slots, and the predicted operating state, control plan, and power consumption are obtained and displayed for each time slot. The prediction period forms a time slot in units of 30 minutes in accordance with a general demand time limit, but it is not necessary to limit it to this. FIG. 4 shows data from 6:00 to 9:30, but the display is controlled so that the screen can be scrolled by a predetermined operation to display other time periods. there is

The time chart includes one or a plurality of setting items for the equipment 2 and the item values for each time period set for each setting item in association with the equipment name that identifies the equipment 2 installed in the building 1. is In the time chart, information without a colored background is facility operating state information (predicted values), and information with a colored background is facility control plan information (planned values). In this way, the time chart displays predicted values or planned values for each time period and each facility.

According to the setting example shown in FIG. 4, the time charts for the air conditioner A and the ventilation fan B show the predicted values, and the time chart for the lighting C shows the planned values. For example, the air conditioner A is set to cooling as the operation mode, 26 degrees as the set temperature, and medium as the air volume based on past performance, and the power is turned on between 7:30 and 8:00. is predicted. The predicted value is an actual value indicating the operating state selected based on the probability that it is most likely to occur in the relevant time period. Further, it can be seen that the lighting C is planned to be turned on in the constant lighting mode with the illuminance set to 100% from 7:00 to 7:30. Illumination C is not derived from predictions based on past performance, but rather has its behavior planned for the prediction period as described above. In this embodiment, as illustrated in FIG. 4, one of the features is that the predicted operation state of the equipment 2 and the planned operation plan of the equipment 2 are displayed together. .

The graph shows the power consumption or amount of power in the entire building 1 for each predetermined time period (every 30 minutes in this embodiment) in graph form. In the following description, it is assumed that the power consumption is displayed, and the predicted power consumption in each time period is represented by the height of the graph.

The graph also displays an error bar 51 for each time zone. As described above, the predicted value of the facility operation state displayed in FIG. 4 is set by selecting the most probable actual value from among the actual values set in the past. However, when the prediction period reaches the actual time (when the current time reaches the prediction period), in fact, there is a case where a value that is not the highest in probability is selected as the setting value. Specifically, it is predicted that the temperature of the air conditioner A will be set to 26 degrees between 9:00 and 9:30, and the temperature will be set to 25 degrees when it actually reaches 9:00. There is a possibility that cooling operation is performed by setting the The error bar 51 indicates the possible range of the predicted power consumption when taking into account the power consumption error that may occur when operating with a set value different from the prediction. Furthermore, the graph displays the target power consumption 52 in each time period.

The planner refers to the time chart and graph shown in FIG. can know Also, by comparing the predicted power consumption (graph) and the target power consumption 52, it can be easily recognized that the predicted power consumption has not achieved the target. Furthermore, 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 requires more power than expected), the power consumption does not achieve the target. It is also easy to recognize that the possibilities arise.

By the way, this embodiment provides a function of displaying detailed information of prediction based on the operation record information of each piece of equipment 2 in each time period. To use this function, the planner operates the mouse 45 to place the cursor on the item for which detailed information is desired. FIG. 5 shows a display example of the detailed information when the cursor is placed on the display area of the item for 9:00 of the air conditioner A. In FIG. In the present embodiment, a display example in which detailed information is displayed in the display form of a balloon is shown, but the present invention is not limited to this, and detailed information may be displayed in another window, for example.

The detailed information includes a probability distribution that associates possible values (random variable values) for each item with the probability of each value. The time chart shows only the values with the highest probability based on the performance information, such as "cooling", "26°C", and "medium", but when the detailed information is displayed, the probabilities of all possible values can be referenced.

FIG. 6 shows a display example when the cursor is placed on the display area of the item for 7:30 of ventilation fan B. In FIG. 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 exceeds the target power consumption 52. Find the predicted value that can be considered as a factor exceeding Then, a simulation is performed, and the item values are changed so that the predicted power consumption becomes 52 or less of the target power consumption.

For example, to lower the predicted power consumption at 7:30, the planner performs a predetermined operation to change the mode of fan B from heat exchange to normal. A display example at this time is shown in FIG. As illustrated in FIG. 7, the display form of the mode of the ventilation fan B to be changed is changed to clearly indicate that it has been selected as the change target. In FIG. 7, the background is indicated by a pattern of dots, but it is not necessary to be limited to this.

When the operation accepting unit 17 accepts changes in the setting values by the planner as described above (Y in step 150), the facility power demand forecasting unit 14 reflects the changed setting values in the facility control plan. After that (step 160), the future facility power demand is predicted again by executing the above process (step 130). It should be noted that the facility control plan information storage unit 6 of the building management device 4 is not updated because the content of changes to the facility control plan has not yet been finalized. Then, the display control unit 15 causes the display unit 16 to display the time chart and the graph reflecting the changed set values (step 140). FIG. 7 shows a display example of a time chart and graph reflecting such changes.

As illustrated in FIG. 7, when the mode of ventilation fan B is changed from heat exchange with relatively high power consumption to normal with relatively low power consumption, the predicted power consumption at 7:30 is below the target power consumption 52. It became so. In addition, the range indicated by the error bar 51 is also narrowed. However, the predicted power consumption still exceeds the upper limit indicated by the error bar 51 . Here, a method for calculating the range indicated by the error bar 51 will be described with reference to FIGS. 8 and 9. FIG.

FIG. 8 is a diagram showing a method of calculating the probability distribution of power consumption in the ventilation fan B among the facilities. First, when the mode of the ventilation fan B at 7:30 is changed to "normal", operation in the normal mode at 7:30 after the change is no longer a predicted value but a planned value. Therefore, the probability of operation in the normal mode is 100%, and the probability of operation in the OFF (shutdown) and heat exchange modes, which correspond to other modes, is 0%. It is also assumed that the probability distributions of operation with low, medium, and high airflows are 50%, 30%, and 20%, respectively, obtained from the operation record information. Here, assuming that the power consumption for operation with weak, medium, and strong airflow during operation in the normal mode is 30 W, 50 W, and 70 W from the rated power, the power consumption is 30 W, 50 W, and 70 W. The probability distribution of power consumption at this time is 50%, 30%, and 20%.

FIG. 9 is a diagram showing the probability distribution of the power consumption of the ventilation fan B, as well as the probability distribution of the air conditioner A and the lighting C. As shown in FIG. The probability distribution of the air conditioner A is also calculated in the same manner as above. Since the operation of 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 sets that the lighting C is always lit at 100% illuminance. Therefore, the probability distribution of the illumination C is obtained with the power consumption (150 W) when the illumination is always on at 100% as 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, the two-sided interval is calculated such that the integral (area) of the probability distribution of the power consumption of all the facilities 2 is 95%. Of course, the error bar 51 may be generated with numerical values other than 95% for determining the upper and lower limits, or may be generated as a one-sided interval. In this way, the width of the error bar 51 (the range indicated by the error bar) in each predicted time period is calculated.

As described above, the predicted power consumption is the power consumption predicted when the equipment 2 for which no schedule is set in the prediction period is operated with the highest probability predicted value obtained based on the operation record information. is. That is, the power consumption is the power consumption when the equipment 2 is operated with the settings that are most likely to be probabilistically obtained. is.

When the operating state of a certain facility (ventilator B in the above example) 2 changes from the predicted value to the planned value, the operating state in that time period is fixed, so the error range indicated by the error bar 51 also narrows. As shown in FIG. 7, when the predicted power consumption falls below the target power consumption 52, the energy saving plan may be confirmed with only this setting change as effective, but the upper limit of the error bar 51 is still below the target power consumption 52. Therefore, there remains a possibility that the actual power consumption exceeds the target power consumption 52 after 7:30.

In this case, the planner also coordinates to change the setpoints of the other facilities 2 . This will be described with reference to FIG. For example, air conditioner A is set with a predicted value obtained from operation record information. According to the display example of the detailed information, 26 degrees, which is most likely to be set, is set, but if this is changed to 27 degrees or more, a reduction in power consumption can be expected. In FIG. 10, this is expressed as "≧27° C." in the item of set temperature.

Therefore, if the planner changes the set temperature of the air conditioner A at 7:30 to 27 degrees, the operation accepting unit 17 accepts the content of the change (Y in step 150), and the equipment power demand forecasting unit 14 After reflecting the changed setting value in the equipment control plan (step 160), the future equipment power demand is predicted again by executing the above process (step 130). The display control unit 15 causes the display unit 16 to display the time chart and graph reflecting the changed set values (step 140). FIG. 10 shows a display example of a graph reflecting such a change. As a result, it can be confirmed that the upper limit of the error bar 51 at 7:30 is the target power consumption 52 or less.

As described above, the planner refers to the information on the power consumption displayed in the graph on the display 47, and makes a 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. Then, if there is no need for further adjustment, a predetermined operation is performed to terminate the process. In step 150, the case where the operation accepting unit 17 does not accept the changed content corresponds to accepting an operation to terminate the process. In this case (N at step 150), the equipment control plan change unit 18 saves the content changed by the above process, that is, the added equipment control plan in the equipment control plan information storage unit 6 of the building management device 4. The contents of the change are reflected in the facility control plan (step 170).

FIG. 11 shows a display example of the time chart and 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 during the prediction period. Also, it can be seen that the set temperature of the air conditioner A after 7:30 was changed to the planned value. In addition, it can be seen that the planned value of "Normal" is set for the ventilation fan B at 7:30.

Embodiment 2.
FIG. 12 is a block configuration diagram showing the energy saving plan creation support device 10 according to the present embodiment. The same reference numerals are assigned to the same constituent elements as in the first embodiment, and the description thereof is omitted. An 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 an equipment control plan generation unit 22 are added to the configuration of the first embodiment. Note that the hardware configuration may be the same as that of the first embodiment.

The power reduction target setting unit 21 is means 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, but for example, the contract power may be acquired and automatically set. The facility control plan generation unit 22 is provided as control plan information generation means, and predicts power consumption (predicted power consumption) predicted by the facility power demand prediction unit 14 based on the operation performance information until it becomes equal to or less than the target power consumption. The operation state of the facility obtained is changed to the operation state as the control plan, and the facility control plan information of the facility is generated. In the first embodiment, the equipment control plan changing unit 18 changes the predicted values manually selected by the planner to the planned values to generate the equipment control plan information. In the form, 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 cooperative operation between a computer forming the energy saving plan creation support device 10 and a program running on the CPU 41 mounted on the computer.

Next, the energy-saving planning support processing in this embodiment will be described using the flowchart shown in FIG. 13 . The same step numbers are assigned to the same processes as those in the first embodiment, and the description thereof is omitted as appropriate. Also, the target power consumption shall be specified by the planner when the application is started.

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

In the first embodiment, the time chart and graph are displayed based on the generated information. The upper limit 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, if the predicted power consumption is equal to or less than the target power consumption and thus the power reduction target is achieved (Y in step 220), the display control unit 15 displays the time chart and graph on the display unit 16 at this point. display (step 140). When the planner refers to the displayed facility control plan and performs a predetermined operation for selecting either to approve or not to approve the content, the operation reception unit 17 receives the operation. . When the planner performs an operation for approval (Y in step 230), the equipment control plan change unit 18 stores the approved equipment control plan in the equipment control plan information storage unit 6 of the building management device 4. By doing so, the contents of the change are reflected in the facility control plan (step 170).

On the other hand, if the power reduction target has not been achieved because the predicted power consumption exceeds the target power consumption (N in step 220), or even though the predicted power consumption has reached the power reduction target, the planner (N in step 230), the facility control plan generation unit 22 presents the operating status of the content that will allow the predicted power consumption to reach the power reduction target or will be approved by the planner. Update the control plan (step 240) by processing as follows.

Updating the control plan means changing the predicted value obtained based on the operation record information to the planned value based on the facility control plan so that the predicted power consumption is equal to or less than the target power consumption, as in the first embodiment. is. Of course, the facility control plan that has already been set may be subject to change, but basically it is preferable to change predicted values that have uncertainties. In this embodiment, predicted values are changed to planned values by two methods shown in FIGS.

FIG. 14 shows the first method. In FIG. 14, values that are candidates for changing the current settings (predicted values) to different values are circled. For example, the values that can be selected other than the predicted value "Heat exchange" for the mode of ventilation fan B are "Normal" and "OFF". try to change. Similarly, in the case of the air conditioner A, an attempt is made to change the predicted mode value "cooling" to "dehumidification", the set temperature to "27°C", and the air volume "medium" to "weak". It should be noted that this indicates that a value with a high probability is selected 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 in which the predicted power consumption is equal to or less than the target power consumption. It should be noted that "24°C" and "25°C" for the set temperature of the air conditioner A 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 the "strong" air volume. In addition, if the predicted power consumption does not fall below the target power consumption even after using the value following the predicted value with the highest probability, the value with the next highest probability, for example, the mode of ventilation fan B is set to "OFF". Candidate for change.

FIG. 15 shows the second method. In FIG. 15, similarly to FIG. 14, values that are candidates for changing the current settings (predicted values) to different values are circled. The facility control plan change unit 18 arranges the probabilities corresponding to the values that are candidates for change in order. There is no particular need to set a rule for the order of arrangement. The curve representing the extraction is shown only for the ventilation fan B mode "normal" and "OFF" and the air conditioner A mode "OFF". In the example shown in FIG. 15, the sum of the arranged probabilities is 130%. Here, the facility control plan changing unit 18 generates pseudo-random numbers that follow a uniform distribution within a range of 0-130. For example, if the generated random number is 80, the position corresponding to 80 corresponds to the set temperature of the air conditioner A, which is "27°C." Therefore, the facility control plan changing unit 18 changes the predicted value of the set temperature of the air conditioner A from "26 degrees Celsius" to the planned value of "27 degrees Celsius". By setting the number of random numbers to be generated arbitrarily, the same effect as the first method can be obtained.

When the equipment control plan changing unit 18 reflects the changed set values in the equipment control plan, the equipment electric power demand forecasting unit 14 performs the above-described processing to predict future equipment electric power demand again (step 130). It should be noted that the facility control plan information storage unit 6 of the building management device 4 is not updated because the content of changes to the facility control plan has not yet been finalized.

While repeating the process of changing the predicted value to the planned value, if the predicted power consumption still exceeds the target power consumption (N in step 220), or if the predicted power consumption has reached the power reduction target, Regardless, if approval is not obtained from the plan maker (N at step 230), the above-described control plan update process (step 240) will be executed again. The control plan update process is executed after it is discarded and restored to its original state.

When the predicted power consumption becomes equal to or less than the target power consumption (Y at step 220) and the planner approves the equipment control plan (Y at step 230), the equipment control plan change 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 changed content in the facility control plan (step 170).

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

The external information is information that is not directly related to the operation control of the equipment 2 but may affect the settings of the equipment 2 and the like. For example, it is forecast (plan) information and performance information related to the weather in the vicinity of 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 record information, the operation state in the prediction period is predicted by referring to external information such as the weather when the operation record is obtained. If predicted, an improvement in prediction accuracy can be expected. Therefore, the external information acquisition unit 31 acquires external information (results) for the same period as the facility operation state information acquired by the facility operation state information acquisition unit 11 and external information (forecast, plan) for the prediction period. Then, the equipment operation state prediction unit 12 predicts the operation state of the equipment 2 in the prediction period by referring to external information in addition to the operation record information. For example, if the weather forecast for the prediction period is fine weather, only the performance information when the weather is fine among the operation performance information is referred to, or the performance information when the weather is fine is weighted and the operation of the equipment 2 is performed. Predict the state.

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

Note that the second embodiment and the third embodiment may be combined as appropriate.

1 building, 2 equipment, 3 various sensors, 4 building management device, 5 equipment operation state information storage unit, 6 equipment control plan information storage unit, 7 external information storage unit, 10 energy saving plan creation support device, 11 equipment operation state information acquisition Unit 12 Equipment operating state prediction unit 13 Equipment control plan information acquisition unit 14 Equipment power demand prediction unit 15 Display control unit 16 Display unit 17 Operation reception unit 18 Equipment control plan change unit 21 Power reduction target setting 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 generation unit, 152 power consumption prediction information generation unit.

Claims (7)

Control plan information acquisition means for acquiring control plan information for a predetermined prediction period of facilities in the building;
an operation result information acquisition means for acquiring operation result information indicating the past operation state of equipment for which control plan information has not been set at least during the prediction period among the equipment in the building;
an operating state prediction means for predicting the operating state of the facility in the prediction period based on the operation record information of the facility for which the control plan information is not set and 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;
Display control so that the control plan information, the operating state prediction information, and the predicted power consumption predicted by the power consumption prediction means are combined and displayed on the display means for each time zone formed by dividing the prediction period into a plurality of periods. a display control means for
has
The display control means is
In the equipment for which the control plan information is not set, display the setting contents indicated by the operating state prediction information of the equipment so that they can be changed for each time period,
The time selected by the user, which is obtained by considering the error that may occur when the equipment for which the control plan information is not set operates differently from the setting contents of the operating state prediction information displaying the upper limit value of the predicted power consumption for the time period and the target power consumption for the time period;
When the setting contents indicated by the operating state prediction information corresponding to the time zone and equipment selected by the user are changed, the power consumption prediction means re-predicts the power consumption reflecting the changed contents.
An energy saving plan creation support device characterized by: 2. The energy-saving plan creation support device according to claim 1, wherein said display control means causes said operating state prediction information and said control plan information to be displayed in different display forms. 2. The energy-saving planning support device according to claim 1, wherein said display control means displays a probability distribution of operating states corresponding to a time zone and equipment selected by the user. 2. The energy-saving planning support device according to claim 1, wherein the upper limit value for the time zone selected by the user is calculated with reference to a probability distribution of operating states corresponding to the time zone and the facility. 2. The energy saving according to claim 1, wherein the operating state prediction means generates the operating state prediction information as a predicted value of the facility that is most probabilistically likely to be obtained by the facility during the prediction period. Plan creation support device. Until the power consumption predicted by the power consumption prediction means becomes equal to or less than the target power consumption, the operating state of the facility predicted based on the operation result information is automatically changed to the control plan to generate control plan information for the facility. 2. The energy-saving plan creation support device according to claim 1, further comprising a control plan information generating means for generating a control plan. the 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 the past operation state of equipment for which control plan information has not been set at least during the prediction period among the equipment in the building;
operating state prediction means for predicting the operating state of the facility in the prediction period based on the operation record information of the facility for which the control plan information is not set and generating the 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;
Display control so that the control plan information, the operating state prediction information, and the predicted power consumption predicted by the power consumption prediction means are combined and displayed on the display means for each time period formed by dividing the prediction period into a plurality of periods. display control means for
function as
The display control means is
In equipment for which the control plan information is not set, display the setting contents indicated by the operating state prediction information of the equipment so that it can be changed for each time period,
The time selected by the user, obtained by considering errors that may occur when the equipment for which the control plan information is not set operates differently from the setting contents of the operating state prediction information displaying the upper limit of the predicted power consumption for the time period and the target power consumption for the time period;
When the setting contents indicated by the operating state prediction information corresponding to the time zone and equipment selected by the user are changed, the power consumption prediction means re-predicts the power consumption reflecting the changed contents.
A program characterized by

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