JP5402071B2 - Energy saving support system - Google Patents

Description

  The present invention relates to an energy saving support system for supporting energy saving such as a convenience store.

  Conventionally, energy-saving efforts have been made for commercial facilities such as convenience stores.

  For example, Patent Document 1 focuses on the fact that there is a quadratic curve form or a linear correlation between the average outside air temperature and the power consumption, and based on this correlation, a base serving as a reference for energy consumption An apparatus that creates a line model and evaluates whether energy-saving control is being performed successfully has been proposed. The outline of the operation of this apparatus is as follows.

  First, a baseline model necessary to estimate energy consumption when energy saving measures are not being implemented is created, and actual measurement data is applied to this baseline model to determine baseline energy consumption. Next, the calculated baseline energy consumption (= consumption by conventional control) and actual energy consumption (= consumption by energy saving control) are compared to evaluate the energy saving rate. As a result, it is possible to evaluate whether or not the energy-saving control is performed well while reducing the labor and time required for creating the baseline model.

  Further, in the tenth embodiment of this patent document, a threshold value is set for the energy saving rate, and when it is equal to or less than the threshold value (when energy saving control is not performed well), abnormality diagnosis processing is performed and abnormality data is found. In this case, a technique for displaying the occurrence information on the screen is described.

JP 2006-98361 A

  However, the evaluation of the energy saving control based on the energy saving rate described above is based on the premise that the energy consumption by the conventional control is compared with the energy consumption by the energy saving control, that is, the energy saving rate is obtained. For this reason, in the case of a new store, there is no data on energy consumption by conventional control, so this evaluation method cannot be applied, and it is not possible to detect abnormalities in equipment and facilities, or abnormal use of energy due to waste. There is.

  The present invention has been made in view of the above-described circumstances, and even when there is no data on energy usage of equipment by conventional control, grasping the energy saving effect and abnormality of energy usage for every predetermined period. It is an object to provide an energy saving support system that can detect and notify a tendency.

  In order to achieve the above object, an energy saving support system according to the present invention is connected to a store side device (50) that collects the usage amount of electricity, water, gas and other energy, and the store side device via a communication network, An energy-saving support system having a management server (10) that determines a tendency of abnormality related to energy consumption based on the amount of energy used sent from the store-side device and notifies the determination result to the store-side device ( 1) The store side device collects the amount of energy consumed in the store and transmits it to the management server, and the store side device collects the outside temperature of the store and sends it to the management server. An outside air temperature transmitting means (72) for receiving and a determination result sent from the management server and an energy abnormality tendency receiving means (74) for receiving and outputting the determination result. The bar receives the amount of energy used and the outside air temperature sent from the store side device, and stores the energy amount and outside air temperature acquisition means (22) stored in the energy DB (31) and the outside air temperature DB (32), respectively. The energy analysis means (24) for analyzing the energy consumption by using the collected energy consumption and outdoor temperature data for each store and storing the analysis result in the energy analysis result DB (33); An energy abnormal tendency determining means (25) for determining whether or not there is an abnormal tendency in the amount of energy used based on each data stored in the DB, the outside air temperature DB, and the energy analysis result DB; and an energy abnormal tendency When it is determined by the determining means that the amount of energy used has an abnormal tendency, the energy for transmitting the determination result to the store side device Abnormal trends transmitting means (26), characterized by comprising a.

  In the present invention, energy usage data and outside air temperature of each store such as a convenience store are sent to the management server of the headquarters via the communication network, and the management server analyzes the energy usage and outside air temperature of each store to analyze the energy usage of each store. When the amount trend is grasped and the energy usage trend is different from the result of analysis, the store side device is notified of this, so the store side can grasp the abnormal trend and make improvements.

  Here, “electricity, water, gas and other energy” is sufficient if it can be grasped as the amount of energy, and is not limited to the exemplified electricity, water, or gas.

  The energy saving support system according to the present invention further includes an energy abnormality cause input means (75) for inputting an energy abnormality cause to the store side device via the input unit, and an energy abnormality cause input by the energy abnormality cause input means. An energy abnormality cause transmitting means (76) for transmitting to the management server, receiving the energy abnormality cause sent from the store side device to the management server, and storing it in association with the determination result ( 23).

  In the present invention, the store that has received the notification of the abnormal tendency notifies the management server on the headquarters side of the cause of the abnormal tendency of energy (including the cause candidates), and the management server associates the energy abnormal tendency with the cause candidates. And store in the energy abnormality trend / cause association DB (34). Thereby, when the same abnormal tendency is detected in another store, it can utilize for the countermeasure against an abnormal tendency, such as accessing the said DB and investigating the cause.

  The energy saving support system according to the present invention further comprises a notification destination extraction condition table (35) for storing a condition for selecting a notification destination at the time of abnormality detection in the management server for each abnormality level, and an energy abnormality tendency determination means. Is characterized in that an abnormal tendency is transmitted to a notification destination selected based on the notification destination extraction condition table in accordance with the abnormality level at the time of abnormality detection.

  In the present invention, by changing the notification destination when the abnormal tendency is detected according to the abnormal level, it is possible to perform appropriate notification according to the degree of the influence of the abnormality.

  Preferably, the notification destination address includes at least one of regional information that can identify a region classification, facility information that can identify a facility to be monitored for energy consumption, and a job title ID. In the destination extraction condition table, it is preferable to set a condition for selecting a notification destination based on regional information, facility information, or post ID for each abnormality level. By managing the notification destination when the abnormal tendency is detected in the notification destination condition table, it becomes easy to manage the setting / change of the notification destination.

  According to the present invention, focusing on the correlation between the average outside air temperature and the energy usage, the past outside air temperature and the energy usage are analyzed, and the analysis result is compared with the current outside air temperature and the energy usage data. By doing this, it is possible to easily determine a tendency (abnormal tendency) that the tendency of the current energy consumption is different from another day of the same outside air temperature, and to notify the manager of the store. The administrator who has received the notification can inspect and deal with the abnormalities and waste of the equipment quickly by inspecting the corresponding equipment, the main manager, or the entire store. Moreover, since the relationship between the abnormal tendency and the cause is accumulated in the database, there is an effect that it can be used as know-how regarding energy saving.

1 is a functional block diagram of an energy saving support system 1 according to an embodiment of the present invention. It is a data block diagram of energy DB31 of FIG. It is a data block diagram of the outside temperature DB32 of FIG. It is explanatory drawing of the analysis result by the energy analysis means 24 of FIG. It is explanatory drawing of the example of a graph of FIG. It is a data block diagram of energy analysis result DB33 of FIG. It is an example of the total table of the unit time data created by the energy abnormality tendency determination means 25 of FIG. It is the figure which plotted the data of the total table of FIG. 7 on the graph of the analysis result of the energy usage tendency of FIG. It is a data block diagram of energy abnormality tendency and cause correlation DB34 of FIG. It is a flowchart which shows the outline | summary of the process sequence of the energy saving assistance system 1 of FIG. It is a functional block diagram of the energy saving assistance system 1 by the other Example of FIG. It is a figure which shows the structural example of the notification address used by the energy abnormality tendency transmission means 26 of FIG. It is a data block diagram of the notification destination extraction condition table 35 of FIG. It is a figure which shows the structural example of the notification destination address by the other Example of FIG.

Embodiments of the present invention will be described below.
FIG. 1 is a functional block diagram of an energy saving support system 1 according to the present embodiment. In this figure, an energy saving support system 1 is disposed at each store, and stores a store-side device 50 that collects energy consumption and outside air temperature and notifies an abnormal tendency, etc., and a communication network 5 from each store-side device 50. The management server 10 is configured to acquire the energy usage amount / outside air temperature sent and determine the abnormal tendency by analyzing these data and notify the determination result to each store.

  The store-side device 50 includes a temperature sensor 51 that detects the outside air temperature of the store, a sensor 52 that detects the amount of energy such as electricity, gas, and water, an input unit 62 that inputs data, an alarm device, a display device, and the like. The output unit 63, an arithmetic processing unit 64 that executes various data processing, and a transmission / reception unit 61 that transmits and receives data via the communication network 5.

  In addition, the arithmetic processing unit 64 of the store-side device 50 transmits / receives the outside air temperature detected by the transmission / reception processing unit 71 and the temperature sensor 51 that performs data transfer processing to / from the transmission / reception unit 61 to the management server 10. Means 72, energy amount transmitting means 73 for transmitting the energy usage acquired from the various sensors 52 to the management server 10, and receiving an energy abnormality tendency receiving the energy abnormality tendency sent from the management server 10 and outputting it to the output unit 63 Means 74, energy abnormality cause input means 75 for inputting the cause of energy abnormality via the input unit 62, and energy abnormality cause transmission means 76 for transmitting the input energy abnormality cause to the management server 10. Each means 71-76 which the arithmetic processing part 64 has is a function realizable as a program run by CPU.

  On the other hand, the management server 10 includes a transmission / reception unit 11 that transmits / receives data via the communication network 5, an arithmetic processing unit 12 that executes various data processing, and a storage unit 13 that stores data.

  Further, the arithmetic processing unit 12 of the management server 10 receives the energy usage amount and the outside air temperature sent from the transmission / reception processing means 21 for executing data transfer processing with the transmission / reception unit 11 and the store side device 50. The energy amount / outside air temperature acquisition means 22 stored in the energy DB 31 and the outside air temperature DB 32 are respectively analyzed using the collected energy usage amount and outside air temperature data for each store, and the analysis result is the energy analysis result. Energy use by the energy analysis means 24 stored in the DB 33, the energy abnormal tendency determination means 25 for determining whether the energy usage amount has an abnormal tendency from the data stored in each DB 31 to 33, and the energy abnormal tendency determination means 25 If it is determined that there is an abnormal trend in volume, store the abnormal trend Energy abnormality cause transmitting means 26 for transmitting to 50 and energy abnormality cause data sent from the store side device 50 are received and stored in the energy abnormality trend / cause association DB 34 in association with the energy abnormality trend Receiving means 23 is provided. Each means 21-26 which arithmetic processing part 12 has is a function realizable as a program run by CPU.

  Next, an outline of the operation of the energy saving support system 1 having the above configuration will be described with reference to FIG.

  First, in the store-side device 50, the amount of energy, such as electricity, gas, and water consumed in the store, and the outside air temperature are measured periodically (for example, every hour), and the measured data is stored in the management server 10 on the headquarters side. (S101, S102). When receiving these data (S201), the management server 10 sequentially accumulates them in the database (S202). When the last time of the day (24:00) is reached (“Yes” in S203), the accumulated measurement data is used to analyze the energy usage by a method described later (S204), and the analysis result is stored in the database. Store (S205). Thereafter, the presence / absence of an abnormal energy trend is determined (S206). If an abnormal trend is detected ("Yes" in S207), the store side device 50 is notified of this.

  When the store side device 50 receives the notice of the abnormal energy trend sent from the management server 10 (S103), after investigating the cause (S104), the cause of the abnormal energy that is the result of the investigation is transmitted to the management server 10. (S105).

  When the management server 10 receives the cause of the energy abnormality sent from the store side device 50 (S208), the management server 10 stores it in the database in association with the abnormality tendency transmitted earlier (S209).

  In the above procedure, if the final time of the day has not been reached in step S203, the process proceeds to step S206.

  The outline of the operation of the energy saving support system 1 is as described above. Details of each process will be described below.

(Energy consumption / outside temperature data collection processing)
The energy amount transmitting means 73 of the store side device 50 measures the amount of energy used in the store, such as electricity, gas, and water, for each unit time via various sensors 52 provided in the store, and uses the measured data as the measurement data. It transmits to the management server 10. Similarly, the outside temperature transmission means 72 also measures the outside temperature of the store via the temperature sensor 51 every unit time, and transmits this measurement data to the management server 10. The unit time can be set to an arbitrary time such as 1 minute, 5 minutes, or 1 hour. In addition, a plurality of energy measurement points can be arbitrarily selected according to the sensor (measuring instrument) that measures energy. For example, the power amount of one device or the main power amount of a certain facility may be used. .

  The energy usage amount and the outside air temperature transmitted from the store side device 50 are stored in the energy DB 31 and the outside air temperature DB 32 through the energy amount / outside air temperature acquisition means 22 of the management server 10 of the headquarters, respectively. An example of the energy DB 31 is shown in FIG. 2, and an example of the outside air temperature DB 32 is shown in FIG.

  The energy DB 31 in FIG. 2 shows an example in which the unit time is 1 hour and the measurement point is the amount of electric power of the refrigerator power. The power amount is recorded at each measurement time, and the total power amount value at the time of the final measurement is calculated and recorded / updated.

  The outside air temperature DB 32 in FIG. 3 shows an example in which the unit time is 1 hour and the outside air temperature near the store is set. The outside air temperature is recorded at each measurement time, and the average value of the outside air temperature at the time of the final measurement is calculated and recorded / updated.

  In addition, by calculating the average value of the total electric energy and the outside air temperature at each measurement time, and connecting it to the subsequent energy usage analysis process, it is possible to some extent even before the data used as the basis for abnormal trend determination is completely prepared. It is possible to determine an abnormal tendency with reduced accuracy. In this case, accuracy increases as the number of data increases.

(Energy usage analysis process)
Next, the energy analysis unit 24 uses the power consumption of the energy data stored in the energy DB 31 at the end of the day and the outside air temperature data stored in the outside air temperature DB 32 to determine the power consumption for each store. Analysis of energy usage trends. For energy usage trend analysis, calculate the total daily energy usage and the average daily outside air temperature at the power consumption measurement points, and add up the average value, standard deviation, maximum Calculate statistics such as values and minimum values. At this time, it may be counted separately on weekdays and holidays / holidays depending on the day of the week. The analysis results and graph examples are shown in FIGS.

  Figure 4 shows an example of calculating the average value, standard deviation, maximum value, and minimum value of chiller power for a certain period (258 days, mixed weekdays / holidays / holidays) as an analysis result of energy usage trends. Show. FIG. 5 shows an example of a graph in which the average value, the maximum value, and the minimum value are plotted for each average outside air temperature as a graph of the analysis result of the energy usage tendency. The average outside air temperature is handled as an integer rounded to the nearest decimal point. In FIG. 5, the black circle (●) points indicate the maximum energy usage amount analyzed by the energy analysis means 24, the triangle (▲) points indicate average values, and the square (■) points indicate minimum values.

  The analysis result analyzed by the energy analysis means 24 is stored in the energy analysis result DB 33. Information stored in the energy analysis result DB 33 includes a day of the week (weekday or holiday / holiday or mixed), an average value, standard deviation, maximum value, and minimum value of energy usage for each average outside temperature. An example of the energy analysis result DB 33 is shown in FIG. The energy analysis result DB 33 in FIG. 6 shows an example in which the average value, standard deviation, maximum value, and minimum value (mixed day of the week) of the electric energy of the refrigerator power are calculated.

(Abnormal trend judgment processing regarding energy consumption)
Next, the energy abnormality tendency determination means 25 calculates the energy consumption from the power consumption measurement point stored in the energy DB 31 and the outside air temperature stored in the outside air temperature DB 32 at the time of data acquisition per unit time. The unit time data up to the time is aggregated and compared with statistics such as average value, standard deviation, maximum value, minimum value, etc. accumulated in the energy analysis result DB 33, whether or not there is an abnormal trend in energy usage. judge. An example of the total table of unit time data is shown in FIG.

  The average outside air temperature is handled as an integer rounded to the nearest decimal point. The unit time data aggregation table in FIG. 7 is an example of the power consumption of the refrigerator on July 18, 2008, at the end of 24 hours, and the data after 8 o'clock in the middle of the day, for example, at 7 o'clock. Does not exist.

  Further, FIG. 8 shows an example in which the data of the aggregation table of FIG. 7 is plotted on the graph of the analysis result of the energy usage tendency of FIG.

  In FIG. 8, the white diamonds (◇) indicate the average outside air temperature (horizontal axis) at each time on July 18, 2008 and the unit time usage integrated value (vertical axis) in the unit time data aggregation table shown in FIG. ) Is a plotted point. The curve shows a polynomial approximation curve (degree 2) with a minimum value (■), an average value (▲), and a maximum value (●).

  As a method of judging the abnormal tendency of energy use, use whether there is energy usage exceeding the range of maximum value and minimum value, whether there is energy usage exceeding the range of average value ± 3 x standard deviation, etc. Can do. Cluster analysis and pattern matching techniques can also be used. Here, an example of an abnormal tendency determination method for determining whether there is an energy usage exceeding the average value and the maximum value is shown.

  As can be seen from FIG. 6 to FIG. 8, at 18 o'clock, 23 ° C. 2281 exceeds the average value of the analysis result of 23 ° C. 2209.1, and when the average value is exceeded, it is “before the abnormal tendency (attention) Is determined. At 20 o'clock, 23 ° C 2548 exceeds the maximum value 2469 of 23 ° C, and if it exceeds the maximum value, it is determined that "there is an abnormal trend in the amount of energy used on this day". That is, it is determined that there is an abnormal tendency when the maximum value is exceeded compared to other days of the outside air temperature within the predetermined range with the outside air temperature as a reference. The determination of the abnormal tendency is not limited to the above, and the standard deviation (σ) of the energy use amount for each outside air temperature may be used to classify in more detail. For example, the average to + 3σ is before the abnormal tendency, the range from + 3σ over to + 6σ or less is abnormal level “small”, the range from + 6σ over to maximum value is “medium”, and the maximum overvalue is “high”. It can also be.

  When it is determined by the abnormal energy trend determination means 25 that there is an abnormal trend in the amount of energy used, the store side device 50 is notified from the management server 10 at the headquarters via the abnormal energy trend transmission means 26, and the manager on the store side Is notified that there is an abnormal trend in energy usage. Notification may be made by dividing into levels such as a warning level when the average value is exceeded and a warning level when the maximum value is exceeded, or an abnormal level further subdivided as described above.

  When the number of analysis data is small (the data collection period is short), it is easy to determine an abnormal tendency. Therefore, it is also possible to set a condition on whether to notify by level from a screen (not shown) of the management server 10. good. There may be a plurality of notification destinations. In addition, a condition may be set such that only a specific notification destination is notified when the attention level is set, and all notification destinations are notified when the warning level is set.

(Abnormal trend notification processing regarding energy consumption)
Notification of an abnormal trend related to energy usage can be made by e-mail, for example. The energy abnormal tendency transmitting means 26, as the contents of the e-mail, includes the date and time when the energy abnormal tendency is recognized, the contents, the measurement point, the current value (the accumulated amount of use up to that time), the analysis result, and the level. The level (attention / alarm) is described in the body and subject of the e-mail, and the energy usage and the outside air temperature over the day are sent as a csv file as an attachment to the e-mail.

  When receiving the abnormal trend sent from the management server 10, the energy abnormal trend receiving means 74 of the shop side device 50 outputs an alarm or display to the output unit 63.

(Abnormality cause notification processing)
The manager on the store side that has received the notification of the abnormal tendency checks mainly the measurement points, and when the cause of the abnormal tendency is found, the cause content is input by the energy abnormality cause input means 75. The cause of the input energy abnormality tendency is transmitted to the management server 10 of the headquarters by the energy abnormality cause transmission means 76. The transmission of the cause of the energy abnormality can be performed by e-mail, for example. That is, it is input by the energy abnormality cause input means 75 as a reply mail of the mail received by the energy abnormality tendency receiving means 74, and the content is transmitted to the management server 10.

  In the management server 10, the contents are received by the energy abnormality cause receiving means 23 and stored in the energy abnormality tendency / cause association DB 34. FIG. 9 shows a data example of the energy abnormality trend / cause association DB 34.

  The contents stored in the energy abnormality trend / cause association DB 34 include the date and time, contents, measurement points, energy usage and outside air temperature (outside temperature and unit time usage in unit time data) of that day, abnormality determination It is the cause of the standard value and abnormal tendency. Thereby, the abnormal tendency of energy and its cause are correlated. Note that there is no need for one cause of abnormality, and two, three, or more causes may be stored as necessary.

  In the description of the present embodiment, the management server 10 installed in the management headquarters and one of the store side devices 50 installed in a plurality of stores have been described. It is desirable that the energy abnormality trend / cause association DB 34 to be associated is not composed of information from only one store-side device 50 but information from many store-side devices 50 is gathered into one. Thereby, there is an advantage that information from one store can be used for energy saving of other stores.

  In this manner, past trends in abnormal use of energy and the causes thereof are associated with each other, so that know-how relating to energy saving is accumulated not only at the headquarters but also at all stores. This makes it possible to examine energy saving measures at individual stores and guidelines for energy saving at all stores.

(Another example of abnormal trend notification processing)
FIG. 11 is a functional block diagram of the energy saving support system 1 according to this embodiment. The difference from FIG. 1 is that the storage unit 13 is provided with a notification destination extraction condition table 35 that stores conditions for selecting a notification destination at the time of abnormality detection for each abnormality level. The same elements are denoted by the same reference numerals, and description thereof is omitted.

  In this embodiment, the store-side device 50 is specified and notified by an address composed of an account and a domain. However, as shown in FIG. , And three areas with unique IDs. Regional information is divided into small regions such as prefectures, medium regions such as municipalities, and small regions such as towns and villages. In addition, the facility information sets a flag at the bit position of the account corresponding to the facility owned by the store, such as the power facility and the water facility. Furthermore, a unique ID is provided so that the entire address is uniquely determined.

  In this way, the notification destination address of the abnormal tendency is systematically configured. And when an abnormal tendency is detected in a certain store, a notification destination is selected based on the notification destination extraction condition table shown in FIG. 13, and an abnormal tendency is notified to the extracted notification destination.

  The notification destination extraction condition in FIG. 13 is determined for each abnormality level. For example, when the abnormal level is “high” based on a specific criterion, such as when the maximum value is exceeded as described above, both the area information and the facility information are not filtered and transmitted to all the pre-registered notification destinations. . When the abnormal level is “medium”, only a specific area is notified. For example, the code of the same area as the store where the abnormal tendency is detected is set in the large and medium sections of the area information, and the small sections of the area information are sequentially incremented from the initial value and transmitted. Also, the facility information is transmitted only to stores having the same facility as the store where the abnormal tendency is detected. Further, when the degree of abnormality is “small”, only the store where the abnormality is detected is notified.

  With the above procedure, it is possible to notify an appropriate store-side device according to the level of abnormal tendency. As shown in FIG. 14, the notification destination account may be assigned a job title ID, and if the abnormality level is, for example, “medium” or more, the notification may be sent to a store manager of a predetermined class.

DESCRIPTION OF SYMBOLS 1 Energy saving support system 5 Communication network 10 Management server 11 Transmission / reception part 12 Arithmetic processing part 13 Storage part 21 Transmission / reception processing means 22 Energy amount / outside temperature acquisition means 23 Energy abnormality cause reception means 24 Energy analysis means 25 Energy abnormality tendency judgment means 26 Energy Abnormal trend transmission means 31 Energy DB
32 Outside temperature DB
33 Energy analysis result DB
34 Energy Abnormal Trend / Cause Association DB
35 Notification destination extraction condition table 50 Store side device 51 Temperature sensor 52 Various sensors 61 Transmission / reception unit 62 Input unit 63 Output unit 64 Calculation processing unit 71 Transmission / reception processing unit 72 Outside air temperature transmission unit 73 Energy amount transmission unit 74 Energy abnormality tendency reception unit 75 Energy abnormality cause input means 76 Energy abnormality cause transmission means

Claims (2)

Energy is collected based on the amount of energy used by the store-side device that collects energy, water, gas, and other energy usage, and the store-side device connected to the store-side device via a communication network. An energy-saving support system having a management server that determines a tendency of an abnormality related to the amount of use and notifies the store side device of the determination result,
The store side device is:
Energy amount transmitting means for collecting and transmitting the amount of energy used in the store to the management server;
Outside temperature transmitting means for collecting outside temperature of the store and transmitting it to the management server;
Energy abnormality tendency receiving means for receiving and outputting the determination result sent from the management server,
The management server
Energy amount / outside temperature acquisition means for receiving the energy usage amount and the outside air temperature sent from the store side device and storing them in the energy DB and the outside air temperature DB, respectively;
An energy analysis means for analyzing the energy usage using each of the collected energy usage and outdoor temperature data for each store, and storing the analysis result in an energy analysis result DB;
An energy abnormal tendency determination means for determining whether or not there is an abnormal tendency in the amount of energy used based on each data stored in the energy DB, the outside air temperature DB, and the energy analysis result DB;
A notification destination extraction condition table that stores conditions for selecting a notification destination at the time of abnormality detection for each abnormality level;
When it is determined by the energy abnormality trend determination means that there is an abnormal trend in the amount of energy used , the determination result is set to the store side by setting the notification destination address based on the notification destination extraction condition table An energy abnormality tendency transmitting means for transmitting to the device ,
The address of the notification destination is configured to include at least one of regional information that can identify a region classification, facility information that can identify a facility to be monitored for energy usage, and a job title ID,
The energy abnormality trend transmitting means, based on a condition for selecting the notification destination stored in the notification destination extraction condition table, according to the abnormality level, the area information constituting the address of the notification destination, An energy-saving support system characterized by setting equipment information or the post ID . The energy saving support system according to claim 1, further comprising:
The store side device is:
An energy abnormality cause input means for inputting an energy abnormality cause via the input unit;
An energy abnormality cause transmission means for transmitting the energy abnormality cause input by the energy abnormality cause input means to the management server,
The management server
An energy saving support system comprising energy abnormality cause receiving means for receiving an energy abnormality cause sent from the store side device and storing the cause in association with the determination result.