JP5827590B2 - Power saving effect verification system - Google Patents

Description

  The present invention relates to a power-saving effect verification system that verifies a power-saving effect when at least a part of an employee's attendance is stopped by an office where a plurality of employees work by computer data processing.

  Since the Great East Japan Earthquake that occurred on March 11, 2011, due to the suspension of nuclear power plant operations, the shortage of power supply has become serious throughout Japan, and efforts have been made to save electricity in companies and general households.

  On the other hand, with recent advances in IT technology, energy management systems called HEMS (Home Energy Management System) and BEMS (Building and Energy Management System) have become widespread. In BMS, it is becoming easier to efficiently reduce the power consumption by grasping the power consumption in detail on a daily or hourly basis using BEMS. Many various proposals have been made regarding the energy management system (see, for example, Patent Documents 1 to 3 below).

JP 2010-271825 A JP 2009-181214 A JP 2006-285343 A

  Employees engage in work by shortening working hours or temporarily stopping work for some employees by taking long vacations or working from home as one of the energy-saving measures in companies Attempts have been made to reduce the power consumption associated with doing so.

  In order to grasp the specific level of the effect of suppressing power consumption by the power saving measures as described above, it is necessary to grasp the daily power consumption using the energy management system such as the BEMS. However, even if the amount of reduction in power consumption at the establishment can be grasped using such an energy management system, the employee is temporarily at home on the day of his / her work due to the temporary suspension of work. As a result, if the power consumption at the employee's home increases, even if the power consumption can be reduced at the office, the total increase in the power consumption at the employee's home If the amount is not negligible with respect to the reduction amount on the side, the effect of power saving measures may not actually reach the expected level, or may be counterproductive. That is, there is a problem that it is not possible to confirm the effect of power saving measures for the entire area including the employee's home only by grasping the reduction amount of power consumption at the office.

  The present invention has been made in view of the problem of power saving measures at the above-mentioned offices, and its purpose is to verify the power saving effect when the employee's attendance is stopped at least partly. To provide a system.

  In order to achieve the above object, the present invention is a power saving effect verification system for verifying a power saving effect when at least some of the employees are stopped in an office where a plurality of employees work, Provided is a power-saving effect verification system comprising an arithmetic processing means for verifying the power-saving effect by computer data processing and a storage means.

Here, in the power saving effect verification system, the storage means is
An establishment power consumption DB for storing establishment electricity consumption, which is an actual value of power consumption in a predetermined first time period in units of days for the entire establishment;
An office weather DB for recording predetermined statistical values of daily weather and outside temperature of the location of the office;
A workforce DB that stores the number of employees of the employee who worked in the office on a daily basis;
Household power consumption, which is an actual value of power consumption in a predetermined second time zone in units of daily homes of at least all candidate employees who are candidates for suspension of work among the employees, is stored for each employee. Home power consumption DB,
The number of people at home DB that stores the number of people at home in the second time zone in units of days at the homes of all the candidate employees,
A home weather DB is provided that stores predetermined statistical values of the daily weather and the outside air temperature of each candidate employee's home location for each employee.

Further, in the power saving effect verification system, the arithmetic processing means is
The employee identification information of all the target employees who stop working on the verification target date among the candidate employees, and the home identification information for identifying home or non-home at each home of the target employees on the verification target date A first input unit that accepts an input of
First weather prediction data of predetermined statistical values of weather and outside temperature at the location of the establishment on the verification target day, and a home target employee staying at home on the verification target day among the target employees A second input unit that accepts input of second weather prediction data of predetermined statistical values of the weather and the outside temperature of each person's home location;
Based on the first weather forecast data, the office weather DB and the working number DB are searched, and the verification target day and the weather are the same, and the predetermined statistical value of the outside temperature is the same within a predetermined error range. And the same weather working day extraction part which extracts the same weather working day more than two days from which the number of workers differs at least,
From the establishment power consumption DB, the establishment electricity consumption on the same weather working day for two days or more is read, and the two or more establishment electric power consumptions with different numbers of workers are used to read the target A site reduction amount calculation unit for calculating a reduction amount of the site power consumption when all employees stop working;
Based on the second weather prediction data, the home weather DB and the number of home users DB are searched for each of the home target employees, and the predetermined statistical value of the outside temperature is the same as the verification target day and the weather. The same weather at-home day extraction unit that extracts the same weather at-home day of two or more days that are the same within a predetermined error range and at least the number of at-home people is different,
For each of the employees at home, the home power consumption is read out from the home power consumption DB for two days or more on the same weather at home, and two or more home power consumptions with different numbers of people at home are obtained. Using a home increase amount calculating unit for calculating a change amount of the home power consumption when the home target employee is at home and not at home as a home power consumption increase amount; and
A real reduction amount calculation unit that calculates a real establishment power consumption reduction amount obtained by subtracting a total of the increase in the home electricity consumption of all the target employees from the reduction amount of the establishment power consumption. To do.

  Furthermore, the power saving effect verification system of the above feature is characterized in that the business site reduction amount calculation unit uses the business power consumption amount of two or more business offices that have been read out to change the business when the number of business workers changes by one. It is preferable that a unit change amount of the site power consumption is calculated, and the reduction amount of the establishment power consumption on the verification target day is calculated by multiplying the unit change amount by the number of all the target employees.

  Furthermore, the power saving effect verification system of the above feature is characterized in that the business site reduction amount calculation unit uses the business power consumption of two or more business offices with different numbers of workers read, and the business when all the employees work. The office power consumption and the office power consumption for the number of workers on the verification target day are calculated, and the difference between the calculated two office power consumptions is calculated to reduce the office power consumption. Is preferably calculated.

  In the power saving effect verification system having the above characteristics, the home power consumption amount when the home power consumption calculation unit changes the home power consumption by 1 using the home power consumption of two or more different home power consumptions. It is preferable that the unit change amount is calculated, and the unit change amount of the home power consumption is set as the home power consumption increase amount.

  Further, in the power saving effect verification system having the above characteristics, the first input unit further accepts an input of the number of people at home including the target employees in each home of the target employees on the verification target date, and the home increase amount The calculation unit uses the two or more home power consumptions with different numbers of people at home to calculate 1 from the number of people at home on the date to be verified from the home power consumption when all of the number of people at home on the date to be verified are at home. It is preferable to calculate the amount of increase in home power consumption by subtracting the amount of home power consumption when the number of people who are subtracted is at home.

  According to the power saving effect verification system of the above feature, the calculation processing means, for the verification target date after the day of verification execution, of the establishment power consumption when all the target employees stop working Data necessary for calculating the reduction amount can be acquired, the reduction amount can be calculated based on the required data, and further, the data necessary for calculating the increase in home power consumption can be acquired for each of the employees who are at home. Can be calculated based on the necessary data, and as a result, by subtracting the total increase in home power consumption of all employees at home from the reduction in power consumption of the establishment, Real office power consumption reduction amount can be calculated. Therefore, it is possible to verify in advance the substantial power saving effect when at least some employees stop working.

  Furthermore, in the power saving effect verification system of the above feature, the first input unit accepts input of the employee identification information and the home identification information when the target employee is one, and the second input unit includes: For each target employee, when the one target employee accepted by the first input unit is at home, the second weather prediction data of the target employee is input, and the establishment reduction The amount calculation unit calculates a unit reduction amount of the office power consumption when one of the target employees stops working, and the home increase amount calculation unit receives the first input unit 1 When the target employee of a person is at home, the target power consumption increase amount of the target employee is calculated for each target employee, and the one input object received by the first input unit If the employee is not at home, The home power consumption increase amount of the target employee is set to 0, and the real reduction amount calculation unit determines the one of the one unit from the unit reduction amount of the office power consumption for each target worker received by the first input unit. It is preferable to calculate a power consumption reduction amount for each individual business office by subtracting the amount of increase in the home power consumption of the target employee.

  As a result, the actual power saving effect when at least some employees stop working can be verified individually for each employee who stops working. It becomes possible to confirm in advance whether the power saving effect will become large.

Furthermore, the power saving effect verification system of the above feature is
For each of the plurality of verification dates,
The first input unit accepts the employee identification information and the home identification information input when the target employee is one, and the second input unit determines whether the first input unit is for each target employee. When the received one target employee is at home, the input of the second weather forecast data of the target employee is received, and the office reduction amount calculation unit is one target employee When the office power consumption is stopped, a unit reduction amount of the office power consumption is calculated, and the home increase amount calculation unit is one of the target employees accepted by the first input unit at home In addition, the increase in the power consumption of the target employee for the target employee is calculated for each target employee, and when the one target employee accepted by the first input unit is not at home, the The increase in power consumption of the target employee is 0 The actual reduction amount calculation unit subtracts the home power consumption increase amount of one target employee from the unit reduction amount of the establishment power consumption for each target employee accepted by the first input unit. Calculate the power consumption reduction for each individual real office,
It is preferable that the actual reduction amount calculation unit calculates the total of the individual actual establishment power consumption reduction amount calculated for each of the plurality of verification target dates for each target employee.

  Thereby, it is possible to individually verify the substantial power saving effect when at least some employees stop working for a plurality of the verification target dates, one by one for each employee who stops working, It becomes possible to confirm beforehand which employee's attendance is stopped for a plurality of the verification target days to increase the substantial power saving effect. In other words, when stopping the same employee's attendance over a plurality of verification dates, the individual real establishment power consumption reduction amount varies depending on the day. By calculating the total of the individual real establishment power consumption reduction amount over a plurality of the verification target dates, it is possible to confirm in advance the substantial power saving effect adapted to the situation.

  Furthermore, in the power saving effect verification system of the above feature, in the case where the verification target date is a past day in which at least some of the employees have already stopped work, the second input unit includes the first input unit. Instead of accepting the input of weather forecast data, the first meteorological result data, which is the actual data of predetermined statistical values of the weather at the location of the establishment and the outside temperature on the verification target date, is read from the establishment weather DB. , Instead of accepting the input of the second weather forecast data, the actual data of the predetermined statistical values of the weather and the outside temperature of each home of all the employees who are home at home on the verification target day The second weather result data is read from the home weather DB, and the same weather working day extraction unit replaces the first weather forecast data with the first weather result data, and the same weather work data for two days or more. The weather working day is extracted, and the same weather at-home day extracting unit replaces the second weather forecast data with respect to each of the home target employees, and the same at least two days based on the second weather performance data It is preferable that a weather staying day is extracted, and the same weather working day of two days or more and the same weather staying day of two days or more each include the verification target date.

  As a result, the calculation processing means obtains data necessary for calculating the reduction amount of the power consumption of the establishment due to the fact that all the target employees have stopped working in response to the work stoppage already implemented as a power saving measure. The reduction amount can be calculated based on the necessary data, and further, the data necessary for calculating the home power consumption increase can be obtained for each of the employees who are at home, and the home can be calculated based on the necessary data. The power consumption increase amount can be calculated, and as a result, the real power consumption reduction amount is calculated by subtracting the total power consumption increase amount of all the employees who are at home from the power consumption reduction amount. be able to. Therefore, it becomes possible to verify the substantial power saving effect even after the fact when at least some employees stop working.

The figure which shows an example of the block configuration of the power-saving effect verification system which concerns on this invention The flowchart which shows 1st Example of the power-saving effect verification process sequence by the power-saving effect verification system which concerns on this invention The flowchart which shows 2nd Example of the power-saving effect verification process sequence by the power-saving effect verification system which concerns on this invention. The flowchart which shows 3rd Example of the power-saving effect verification process sequence by the power-saving effect verification system which concerns on this invention The flowchart which shows 4th Example of the power-saving effect verification process sequence by the power-saving effect verification system which concerns on this invention

  An embodiment of a power saving effect verification system according to the present invention (hereinafter referred to as “the present invention system” as appropriate) will be described with reference to the drawings.

  The system of the present invention is based on power-saving measures such as having at least a part of employees obtain long vacations according to instructions from the company side, or work from home, etc. in an office where multiple employees work. The power saving effect when at least some employees stop working is a substantial power saving effect that takes into account that the power consumption at home increases when the employee who stopped working remains at home. This is a power saving effect verification system for verification, which is composed of computer hardware and application software executed on the hardware. Also, assume that one or a plurality of buildings, a specific area (one or a plurality of floors or rooms) in one building, and the like are assumed as business establishments for which the system of the present invention verifies the power saving effect. FIG. 1 shows a schematic configuration of the system 1 of the present invention.

  More specifically, the system 1 of the present invention includes an arithmetic processing device 10 that performs verification of the power saving effect by computer data processing, and a storage device 20. The arithmetic processing unit 10 includes hardware of one or a plurality of computers 11 and application software executed on the hardware. Functionally, the arithmetic processing unit 10 includes a first input unit 12 and a second input unit 13 described later. The same weather working day extraction unit 14, the establishment reduction amount calculation unit 15, the same weather at-home day extraction unit 16, the home increase amount calculation unit 17, and the real reduction amount calculation unit 18 are provided with seven information processing units. . Each information processing part 12-18 performs each information processing by running the computer program corresponding to each processing content. Specific contents of information processing will be described later.

  In the present embodiment, the computer 11 constituting the arithmetic processing device 10 functions as a Web server, and designates a URL (Uniform Resource Locator) from each user terminal (not shown) used by the employee. In response to access via a computer network (not shown) such as a LAN or WAN, screen data corresponding to the URL is transmitted in HTML or XML format, etc. Screen data received by the Web browser software is displayed on the screen, and data transmission / reception with the arithmetic processing unit 10 is enabled via the displayed screen data. Since data transmission / reception is performed by the Web method, dedicated software other than general-purpose Web browser software is not required for the user terminal. This includes, as an example, information on whether each employee is at home on the date of verification of the future power saving effect from each employee, and the number of people at home (planned number) including the person at home. Used when entering.

  In the storage device 20, six databases are constructed: an office power consumption DB 21, an office weather DB 22, a working person DB 23, a home electric power consumption DB 24, an at-home person DB 25, and a home weather DB 26. In the present embodiment, a part of the computer 11 is configured to execute database operations such as data registration, search, change, and deletion on these databases.

  The establishment power consumption DB 21 stores establishment electric power consumption P1 which is an actual value of power consumption in a predetermined first time zone in units of days for the entire establishment. Specifically, the office power consumption P1 (actual value) in the first time zone in units of days and the measurement date are associated and recorded as one record. In the present embodiment, an employee's working time zone (for example, 8 am to 10 pm) is used as the predetermined first time zone. The reason for using the power consumption during working hours as the office power consumption P1 is that the power consumption in the office during times other than the working hours is considered to be constant regardless of the number of employees working. In addition, if there is a change in the power consumption in the time zone other than the working time zone, it is considered that it is caused by a matter not related to the number of employees who work.

  In the present embodiment, a BEMS that performs energy management for the entire establishment is separately provided. The BEMS measures the unit time power consumption of the entire establishment every predetermined unit time (for example, one hour), It is assumed that the measured value (actual value) is stored in a predetermined database. And the total value of the unit time power consumption in the 1st time zone of the whole establishment preserve | saved by the said BEMS is recorded on a daily basis as establishment electric power consumption P1 in establishment electric power consumption DB21. . In addition, when recording the office power consumption P1 with the unit time power consumption in the BEMS database, the BEMS database may be used as the office power consumption DB 21. In the case where the BEMS does not measure the unit time power consumption every predetermined unit time (for example, 1 hour), for example, when the BEMS only measures in units of one day (24 hours), the predetermined first time. The band is 24 hours from a specific time to the same specific time on the next day.

  The office weather DB 22 records predetermined weather values (both actual values) of the daily weather and the outside temperature of the location of the office. Specifically, a predetermined statistical value (actual value) of daily weather and outside air temperature is associated with the measurement date and recorded as one record. In the present embodiment, the main weather (sunny, cloudy, rain, snow, etc.) in the working hours is recorded as the weather, and the daily average temperature is stored as a predetermined statistical value of the outside temperature. In addition, as the predetermined statistical value of the outside air temperature, the daily minimum temperature and the daily maximum temperature, or the temperatures at specific times (for example, 10 am and 3 pm) may be used. As an example, the actual values of the predetermined weather values of the daily weather and the outside temperature of the location of the office are acquired by the computer 11 by accessing an external weather database at a certain time every day, and the office weather DB 22 Register with.

  In the work number DB 23, the number of employees working in the office is recorded on a daily basis. Specifically, the number of working employees and the working day are associated and recorded as one record. In the present embodiment, a time management system for performing time management for employees in the entire office is separately provided, and the computer 11 accesses the attendance record for each employee managed by the time management system. The number of employees on each work day is registered in the work number DB 23. The attendance management system is not provided separately, and the work number DB 23 may be a part of the attendance management database.

  The home power consumption DB 24 stores the home power consumption that is the actual value of the power consumption in a predetermined second time period in units of days of all the candidate employees who are candidates for suspension of work among the employees. P2 is recorded by employee and by day. Specifically, the employee code as the employee identification information, the daily home power consumption P2 (actual value), and the measurement date are associated with each other and recorded as one record. When all the employees are candidates for stop attendance, the home power consumption P2 of all the employees is recorded in the home power consumption DB 24 by employee and by day. In the present embodiment, as a predetermined second time zone, a work time zone (e.g., 8 am to 10 pm) that is out of the home for each candidate employee's work is used. The second time zone may be the same time zone for all candidate employees, but may be set individually for each candidate employee in consideration of each commuting time. The reason for using the power consumption during the work hours as the home power consumption P2 is that the power consumption in the house during the time other than the work hours is that each candidate employee has gone to work. This is because it is considered that it will not change depending on whether it is a vacation or working at home, and if there is a change in power consumption during times other than work hours, the working hours of candidate employees This is because it is considered to be caused by matters unrelated to home / outing in the belt.

  In this embodiment, at least all candidate employees' homes are separately provided with HEMS for managing at least power consumption of each home, and each HEMS and the computer 11 are connected via a data communication network such as the Internet. Is assumed to be connected. The HEMS at each home measures the unit time power consumption of each home every predetermined unit time (for example, 1 hour), stores the measured value (actual value) in a predetermined database, and at a fixed time every day. The computer 11 is accessed and the total value of the unit time power consumption stored in each HEMS in the second time zone is set as the home power consumption P2 of each candidate employee on a daily basis. Register with. Conversely, the computer 11 accesses each HEMS at a certain time every day, obtains the total value of the unit time power consumption within the second time zone, and each candidate employee's daily home power consumption P2 For example, the configuration may be such that it is registered in the home power consumption DB 24. It should be noted that when at least a part of the HEMS does not measure the power consumption per unit time every predetermined unit time (for example, 1 hour), for example, when it measures only in units of one day (24 hours), For candidate employees corresponding to the HEMS of the department, the predetermined second time zone is 24 hours from a specific time to the same specific time on the next day.

  The number of people at home DB 25 records the number of people at home in the second time zone in units of days at the homes of all the candidate employees. Specifically, the employee code, the number of people staying at home on a daily basis, and the calculation target date of the number of people staying at home are associated with each other and recorded as one record. The number of people at home is, for example, divided by the total width of each person at home in the second time zone (for example, the above-mentioned attendance time zone) by the time width of the second time zone (for example, 14 hours). Shall be calculated by rounding off. Note that the method of defining the number of people at home need not be the same among candidate employees. The number of people at home is configured such that each employee accesses the computer 11 from a user terminal via a data communication network such as the Internet and directly registers the number of people at home in the number of people at home 25 or the HEMS In the case of having a mechanism for automatically detecting the number of people at home, the HEMS accesses the computer 11 at a fixed time every day and registers the measured daily home power consumption P2 in the home power consumption DB 24. In addition, the configuration in which the detected number of people at home is registered in the number-of-homes DB 25 or the computer 11 accesses each HEMS at a certain time every day to acquire the measured daily home power consumption P2 and A configuration for registering in the power consumption DB 24, acquiring the detected number of people at home, and registering in the number of people at home DB 25, or each employee The number of people at home for each day is registered in the home HEMS, and the computer 11 accesses each HEMS at a certain time every day to acquire the measured daily home power consumption P2 and stores it in the home power consumption DB 24. While registering, any configuration may be employed in which the number of at-home people registered in the HEMS by the employee is acquired and registered in the at-home number of people DB 25. The home power consumption DB 24 and the number of people at home DB 25 may be configured as a single home information DB.

  In the home weather DB 26, predetermined statistical values (both actual values) of the daily weather and the outside temperature at the home locations of all the candidate employees are recorded by employee and by day. Specifically, an employee code, a predetermined statistical value (actual value) of daily weather and outside temperature, and the measurement date are associated with each other and recorded as one record. In this embodiment, the main weather (sunny, cloudy, rain, snow, etc.) in the working hours (for example, 8 am to 10 pm) is recorded as the weather, and the daily average is used as a predetermined statistical value of the outside temperature. The temperature is remembered. In addition, as the predetermined statistical value of the outside temperature, the daily minimum temperature and the daily maximum temperature, or the temperature at a specific time (for example, 10 am and 3 pm) may be used. It is not necessary to be consistent with a predetermined statistical value of daily outside air temperature, and it is not necessary to be the same among candidate employees. Note that the actual values of the predetermined weather values of the daily weather and the outside temperature of the home location are acquired by the computer 11 by accessing an external weather database at a certain time every day and registered in the home weather DB 26. The office weather DB 22 and the home weather DB 26 may be configured as a single weather DB.

  Next, processing contents of the power saving effect verification processing by the seven information processing units 12 to 18 of the arithmetic processing device 10 will be described. First, assuming that the total number of employees working at the business site is M, assuming that all M employees are candidate employees who are candidates for suspension of work, the power saving effect is verified. Any one day after the day (N days) (for example, N + 1 day) is set as the verification target date, and on the verification target date, a plurality of target employees among the candidate employees are on vacation or working from home. A case where work attendance is stopped (hereinafter referred to as the first embodiment) is assumed. Here, M is a natural number of 3 or more, and is assumed to be about 10 to 1000, for example. The number K of target employees is a natural number between 2 and M (2 ≦ K ≦ M). Hereinafter, the processing content of the first embodiment will be described with reference to the flowchart shown in FIG.

[First embodiment]
First, the verification process is started in response to the start instruction of the verification process performed by the operator from the input operation terminal of the computer 11 or the arrival of a preset verification process start time (step # 1). In the present embodiment, the verification process is performed for a preset verification date (N + 1 day). When the verification process starts, the first input unit 12 includes the employee code of all the target employees, the home identification information for identifying the home or non-home of each of the target employees on the verification target date, and the target employee. Are read from the area of the storage device 20 where the basic data is stored, and are temporarily stored in the storage area of the computer 11 (step # 2). In this embodiment, the basic data includes information related to the verification target date (N + 1 day). However, the verification target date (N + 1 day) may be specified during the verification process. For example, the creation of the basic data is as follows. For the employee codes of all the target employees, the operator selects the target employee directly by an input operation or inputs a predetermined selection criterion and sets the selection criterion. For example, for the home identification information and the number of people at home, the verification target date is specified for the target employee, and the home identification information and the number of people at home are verified An input instruction is issued, and the home identification information and the number of people at home are received from the user terminal of the target employee.

  Subsequently, the second input unit 13 accesses the external weather database, the first weather forecast data including each forecast value of the weather at the location of the establishment on the verification target day and the predetermined statistical value of the outside temperature, and Of the target employees specified in the basic data above, it consists of the predicted values of the predetermined statistical values of the weather and the outside temperature of the home employees of the target employees who are scheduled to be home based on the home identification information based on the home identification information The second weather forecast data is acquired and temporarily stored in the storage area of the computer 11 (step # 3). In addition, the specific contents of the weather and outdoor temperature in the first meteorological forecast data described above are the daily weather and outside of the location of the office recorded in the site weather DB 22. It is the same as the specific content of the predetermined statistical value of the temperature. Furthermore, the specific contents of the predetermined weather values of the weather and the outside temperature of each home-target employee in the second weather forecast data are the homes of the candidate employees recorded in the home weather DB 26. It is the same as the specific contents of the predetermined statistical values of the daily weather and outside temperature of the location.

  In the above step # 3, the second weather forecast data is acquired for only the target employees, but it is not determined whether or not to be home on the verification target date, and all target employees or candidate employees are targeted. As an alternative, the second weather prediction data may be acquired and only the second weather prediction data of the at-home target employee may be used in a later process. When all candidate employees are targeted, the basic data acquired in step # 2 is not necessary in step # 3, so the execution order of step # 2 and step # 3 may be reversed. Moreover, you may perform in parallel.

  Subsequently, the same weather working day extraction unit 14 searches the establishment weather DB 22 and the working number DB 23 based on the first weather prediction data, the verification target day and the weather are the same, and a predetermined statistical value of the outside temperature is predetermined. The same weather working days D1 (i) (i = 1 to n, n ≧ 2) of two or more days that are the same within an error range (for example, ± 1 ° C. to ± 2 ° C.) and at least the number of workers is different. Extract (step # 4). i is an ordinal number (natural number) for distinguishing n days of the same weather work day D1 (i) extracted. When the number n of the same weather work days D1 (i) that can be extracted is large, the error range used for extraction may be narrowed. Conversely, when the number n of the same weather work days D1 (i) that can be extracted is 1 or less (n ≦ 1), the error range used for extraction is expanded.

  Subsequently, the business site reduction amount calculation unit 15 grasps the target employee number K from the number of employee codes included in the basic data, and subtracts the target employee number K from the total number M of employees to verify the verification target date. The number of workers (M-K) is calculated (step # 5). Subsequently, the business site reduction amount calculation unit 15 extracts the business site power consumption P1 <1 on the same weather work day D1 (i) of two or more days with different numbers of workers extracted in Step # 4 from the business site power consumption DB 21. i> is read, and the power consumption P1 <i> of two or more establishments with different numbers of workers is used to calculate the reduction amount ΔP1 of the establishment electricity consumption P1 when all the target employees are stopped working. Calculate (step # 6). When the reduction amount ΔP1 is a negative value, the reduction amount ΔP1 is set to zero. In addition, when three or more same weather working days D1 (i) are extracted, it is sufficient that the number of workers is different at least on two of the days, and the number of workers between some of the same weather working days D1 (i) May overlap.

  Here, a specific example of a method for calculating the reduction amount ΔP1 of the office power consumption P1 will be described. First, when the same weather working day D1 (i) extracted in step # 4 is only two days, the establishment power consumption P1 <1> of the two same weather working days D1 (1) and D1 (2). , P1 <2> (| P1 <1> −P1 <2> |) is the difference between the number of workers C1 (1) and C1 (2) on two working days on the same weather (| C1 (1) −C1 (2) Dividing by |), unit change amount ΔPU1 (= | P1 <1> −P1 <2> | / | C1 (1) −C1 (2) of the office power consumption P1 per worker |) Is calculated, and the unit change amount ΔPU1 is multiplied by the target employee number K to calculate the reduction amount ΔP1 (= ΔPU1 × K) of the establishment power consumption (calculation method A1).

  Furthermore, when the same weather work day D1 (i) extracted in step # 4 is 3 days or more (n ≧ 3), the establishment power consumption P1 is a linear function (P1) with the number of workers x as a variable. (X) = ax + b), and the coefficient a and the constant b are obtained by the least square error method using the establishment power consumption P1 <i> (i = 1 to n, n ≧ 3). Since the coefficient a is the unit change amount ΔPU1 of the office power consumption per worker, the factor power consumption reduction amount ΔP1 (= a × K) is obtained by multiplying the coefficient a by the target number of employees K. Is calculated (calculation method B1).

  As a modified example of the calculation method B1, x = M and x = M−K are substituted into the linear function P1 (x), and the difference (P1 (M) −P1 (M−K)) is calculated as a business. The power consumption may be calculated as a reduction amount ΔP1 (calculation method C1).

  Further, when the same weather working day D1 (i) extracted in step # 4 is 3 days or more (n ≧ 3), the same weather working day D1 (j) having the same working number as the total number M of employees is 1. Businesses on the same weather working day D1 (j) when the same weather working day D1 (k) is extracted for more than one day and the working number is the same as the working number (M-K) on the verification target day An average value PA1 <j> of the office power consumption P1 <j> and an average value PA1 <k> of the office power consumption P1 <k> on the same weather work day D1 (k) are calculated. The amount reduction amount ΔP1 is calculated as the difference between both average values (PA1 <j> −PA1 <k>) (calculation method D1).

  As a modification of the calculation method D1, either the same weather work day D1 (j) or the same weather work day D1 (k) is included in the same weather work day D1 (i) extracted in step # 4. If not included, and if the same weather working day D1 (j) is not included, P = (M) is calculated by substituting x = M into the linear function P1 (x), and the average value PA1 < j> is used instead of (P1 (M) −PA1 <k>) as a reduction amount ΔP1 and the same weather work day D1 (k)) is not included in the linear function P1 (x) P = (M−K) is calculated by substituting x = M−K and used instead of the average value PA1 <k>, and (PA1 <j> −P1 (M−K)) is used as the reduction amount ΔP1. (Calculation method E1).

By the way, the office power consumption P1 is represented by a quadratic function (P1 (x) = ax ² + bx + c) with the number of workers x as a variable, and the office power consumption P1 <i> (i = 1 to n, n). The coefficients a, b and the constant c are obtained by the least square error method using ≧ 3), and instead of the linear function (P1 (x) = ax + b) used in the calculation methods C1 and E1, the quadratic function (P1 (x) = ax ² + bx + c) may be used. Further, when using the calculation methods A1 and B1, it is sufficient to know the number of target employees K in step # 5, and it is not necessary to calculate the number of employees (M-K) on the verification target day.

  Subsequent to step # 6, the same weather at-home day extraction unit 16 searches the home weather DB 26 and the number of at-home people DB 25 based on the second weather prediction data for each of the at-home employees, and the verification target day and the weather are the same. The same weather staying day D2 (q, r) of two or more days when the predetermined statistical value of the outside air temperature is the same within a predetermined error range (for example, ± 1 ° C. to ± 2 ° C.) and at least the number of people at home is different. ) (Q = 1 to m (r), m (r) ≧ 2) is extracted (step # 7). q is an ordinal number (natural number) for distinguishing the same weather working day staying day D2 (q, r) for the extracted m (r) days, and r is an ordinal number for distinguishing the home target employee. It is a natural number of 1 or more. When extracting the same weather staying day D2 (q, r), the number of people staying at home on the same weather staying day with a larger number of people staying at home than the normal number of people staying at the home of the employee who is staying at home temporarily increased due to visitors, etc. It is preferable to consider and exclude from the extraction target.

  Subsequently, the home power consumption calculation unit 17 performs home power consumption on the same weather home day D2 (q, r) for two or more days extracted from the home power consumption DB 24 in step # 7 for each of the target employees. P2 <q, r> is read out, and two or more home power consumptions P2 <q, r> with different numbers of people at home are read, and the home power consumption P2A <r> when the home target employee is at home. The home power consumption increase amount ΔP2 <r> (= P2A <r> −P2B <r>) obtained by subtracting the home power consumption amount P2B <r> when the home target employee is not at home is calculated (step # 8). . When the home power consumption increase amount ΔP2 <r> is a negative value, the home power consumption increase amount ΔP2 <r> is set to zero.

  The calculation target of the increase in home power consumption ΔP2 <r> is limited to employees who are at home, that is, those who are not at home who are not at home are excluded. This is because it is not necessary to consider the increase in power consumption at home due to the suspension of work.

  Here, a specific example of a method for calculating the home power consumption increase amount ΔP2 <r> will be described. First, when the normal number of residents at home is 1, that is, when the at-home employee is a single person, it is estimated that the number of homes recorded in the home number DB 25 is almost 0 or 1. The average value P2A <q0, r> of the home power consumption P2 <q0, r> on the same weather home day D2 (q0, r) where the number of people is home 0 and the same weather home day D2 (q1) where the number of home people is 1. , R), the average value P2A <q1, r> of the home power consumption P2 <q1, r> is calculated, and the average value P2A <q1, r> is subtracted from the average value P2A <q0, r> ( P2A <q1, r> −P2A <q0, r>) is defined as a home power consumption increase amount ΔP2 <r> (calculation method A2). In the calculation method A2, P2A <q1, r> corresponds to P2A <r>, and P2A <q0, r> corresponds to P2B <r>.

  Next, regardless of the normal number of people at home, if the same weather at-home date D2 (q, r) extracted in step # 7 is only two days (m (r) = 2), two identical weathers Difference between home power consumption P2 <1, r> and P2 <2, r> of home days D2 (1, r) and D2 (2, r) (| P2 <1, r> −P2 <2, r>) |) Is divided by the difference between the number of people C2 (1, r) and C2 (2, r) staying at home on two same weather days (| C2 (1, r) -C2 (2, r) |) Unit change amount ΔPU2 (= | P2 <1, r> −P2 <2, r> | / | C2 (1, r) −C2 (2, r) |) of home electric power consumption P2 per person at home This is calculated and set as home power consumption increase ΔP2 <r> (calculation method B2). If the number of normal residents at home is 1 and the same weather staying day D2 (q, r) extracted in step # 7 is 2, the calculation method A2 and the calculation method B2 are the same as a result.

  Furthermore, when the same weather at-home day D2 (q, r) extracted in step # 7 is 3 days or more (m (r) ≧ 3) and the normal number of residents at home is 2 or more, The consumption amount P2 is represented by a linear function (P2 (y) = a (r) y + b (r)) with the number of people at home y as a variable, and the home power consumption amount P2 <q, r> (q = 1 to m ( The coefficient a (r) and the constant b (r) for each home target employee are obtained by the least square error method using r) and m (r) ≧ 3). The coefficient a (r) is a unit change amount of the home power consumption per person at home, and therefore corresponds to the increase in home power consumption ΔP2 <r> (calculation method C2).

  Further, in the case where the same weather at-home day D2 (q, r) extracted in step # 7 is 3 days or more (m (r) ≧ 3) and the normal number of residents at home is 2 or more, the number of people at home The same weather at-home day D2 (s, r) that is the same as the number of people at home on the verification target day is extracted for one day or more, and the same weather at-home day D2 (t, r) is one less than the number of homes at the verification target day. When extracted for one day or more, the average value PA2 <s, r> of the home power consumption P2 <s, r> on the same weather home day D2 (s, r) and the same weather home day D2 (s, r) The average value PA2 <t, r> of the home power consumption P2 <t, r> in r) is calculated, respectively, and the home power consumption increase ΔP2 <r> is calculated as the difference between both average values (PA2 <s, r>). -PA2 <t, r>) (calculation method D2). In the calculation method D2, PA2 <s, r> corresponds to P2A <r>, and PA2 <t, r> corresponds to P2B <r>.

Further, when the same weather at-home day D2 (q, r) extracted in step # 7 is 3 days or more (m (r) ≧ 3), and the number of ordinary residents at home is 2 or more, the calculation method Unlike C2, home power consumption P2, expressed by a quadratic function of the home number y as variables ^{(P2 (y) = a (} r) y 2 + b (r) y + c (r)), home power consumption The coefficients a (r) and b (r) and the constant c (r) are obtained by the least square error method using P2 <q, r> (q = 1 to m (r), m (r) ≧ 3). Then, P2 (L (r)) is calculated by substituting the number of people at home L (r) for the verification target day y into the number of homes y, and L (r) is 1 less than the number of homes L (r) at the verification target date at home number y. ) -1 is substituted to calculate P2 (L (r) -1), and the difference between the two (P2 (L (r))-P2 (L (r) -1)) is calculated as a home power consumption increase amount ΔP2. <R > (Calculation method E2). In the calculation method E2, P2 (L (r)) corresponds to P2A <r>, and P2 (L (r) -1) corresponds to P2B <r>.

  Here, when the calculation method A2, B2 or C2 is used as the calculation method of the home power consumption increase amount ΔP2 <r>, the number of people at home on the verification target day is not used. It is not necessary for the basic data that 12 receives input to include the number of people at home of the target employee on the verification target date.

  Subsequent to step # 8, the real reduction amount calculation unit 18 uses the power consumption reduction amount ΔP1 calculated at step # 6 to increase the home power consumption increase amount ΔP2 of all the home target employees calculated at step # 8. A real establishment power consumption reduction amount ΔPE1 (= ΔP1−Σ (ΔP2 <r>)) obtained by subtracting the sum of <r> (Σ (ΔP2 <r>)) is calculated (step # 9).

  In the above description, the case where the processing from step # 4 to step # 8 is executed in the order of description has been described. However, the processing from step # 4 to step # 6 until the reduction amount ΔP1 is calculated, and from step # 7 to step # 7 The processing up to calculating the power consumption increase ΔP2 <r> of each home target employee in # 8 may be executed in reverse order or in parallel.

  If the real office power consumption reduction amount ΔPE1 obtained by executing the power saving effect verification process from step # 1 to step # 9 is a positive value (ΔPE1> 0), the plurality of target employees It can be determined that there is a substantial power saving effect when the attendance at work is stopped, and conversely, if the value is negative (ΔPE1 <0), there is a power saving effect at the office, but the work is stopped It can be determined that the total increase in the amount of power consumption at each employee's home exceeds the amount of reduction on the operator side, has no substantial power saving effect, and is counterproductive.

  The verification process of the power saving effect described as the first embodiment is repeated for a plurality of times by changing the target employee, and the target employee with a substantial substantial power saving effect is selected and the target employee is selected. By taking measures to stop working, it is possible to reliably achieve a substantial power saving effect.

[Second Embodiment]
Next, another embodiment (second embodiment) of the power saving effect verification process described as the first embodiment will be described with reference to the flowchart shown in FIG.

  In the verification process of the first embodiment, since it is assumed that there are a plurality of target employees whose work is to be stopped, it is impossible to individually grasp the power saving effect due to the stop of work for each employee. In the second embodiment, by calculating the real office power consumption reduction amount ΔPE1 (corresponding to the individual real office power consumption reduction amount) for each target employee when the target employee is one person, Understand the power-saving effects of stopping work individually. Even in the verification processing of the second embodiment, the processing contents performed by the seven information processing units 12 to 18 of the arithmetic processing device 10 are not substantially different from those of the first embodiment, but the target employee is 1 There is a change in processing content associated with being a person. Hereinafter, the verification process of the second embodiment will be described mainly with respect to differences from the processes of the first embodiment (step # 1 to step # 9), and the description overlapping with the first embodiment will be omitted.

  First, in step # 11, as in step # 1 of the first embodiment, when the verification process is started, one target employee Xh (subscript h is the target employee of candidate employees). Ordinal numbers (natural numbers) to be distinguished, h = 1 to M) are designated (step # 12). Here, h = 1 is set.

  Subsequently, the first input unit 12 reads the basic data of one target employee Xh in the same manner as in Step # 2 of the first embodiment, and temporarily stores it in the storage area of the computer 11 (Step S2). # 13). Subsequently, when the second input unit 13 is the first weather forecast data on the verification target date and the one target employee Xh is a home target employee, the second weather of the one target employee Xh is displayed. Predictive data is acquired by accessing an external weather database, and temporarily stored in the storage area of the computer 11 (step # 14).

  Subsequently, the same weather working day extraction unit 14 performs the same weather working day D1 (i) (i = 1 to n, n ≧ 2) of at least two days in which the number of workers differs at least as in step # 4 of the first embodiment. ) Is extracted (step # 15), and in the same manner as in step # 6 of the first embodiment, the number of target employees K is 1, and the office power consumption when one target employee is stopped working A reduction amount ΔP1 of the amount P1 (corresponding to the unit change amount ΔPU1 in the first embodiment) is calculated (step # 16). As the calculation method of the reduction amount ΔP1, the calculation methods A1 to E1 described in the first embodiment can be used with K = 1.

  Subsequent to step # 16, the same weather at-home day extraction unit 16 determines that the same target employee Xh is at least two days in the same manner as in step # 7 of the first embodiment when the one target employee Xh is a home target employee. Weather home day D2 (q, h) (q = 1 to m (h), m (h) ≧ 2) is extracted (step # 17).

  Subsequently, when the one target employee Xh is a home target employee, the home increase amount calculation unit 17 determines from step # 17 from the home power consumption DB 24 in the same manner as step # 8 in the first embodiment. The home electric power consumption P2 <q, h> of the same weather at-home day D2 (q, h) extracted for 2 days or more is read out, and the read out two or more home electric power consumptions P2 <q, h with different numbers of people at home are read. > Is used to calculate a home power consumption increase amount ΔP2 <h> (step # 18). The calculation method of the home power consumption increase amount ΔP2 <h> uses the calculation methods A2 to E2 described in the first embodiment. When the home power consumption increase amount ΔP2 <h> is a negative value, the home power consumption increase amount ΔP2 <h> is set to zero. Further, when the one target employee Xh is a non-home target employee, the home power consumption increase amount ΔP2 <h> is set to zero.

  Subsequent to step # 18, the actual reduction amount calculation unit 18 increases the home power consumption of one target employee Xh calculated in step # 18 from the reduction amount ΔP1 of the establishment power consumption calculated in step # 16. Substantial amount ΔP2 <h> is subtracted to calculate a real establishment power consumption reduction amount ΔPE1 <h> (= ΔP1-ΔP2 <h>) for the one target employee Xh (step # 19).

  Until the target employee Xh becomes the last person (h = M), the value of h is incremented by 1, and the processing of step # 16 to step # 19 is repeated. Individual real office power consumption reduction amount ΔPE1 <h> (h = 1 to M) is calculated for all candidate employees.

  If the real office power consumption reduction amount ΔPE1 <h> is a positive value (ΔPE1 <h >> 0), it is determined that there is a substantial power saving effect when the attendance of the target employee Xh is stopped. On the contrary, if the value is negative (ΔPE1 <h> <0), although there is a power saving effect at the establishment, the increase in power consumption at the target employee Xh's home is It can be determined that there is no substantial power saving effect and an adverse effect exceeding the amount of reduction. If the office power consumption reduction amount ΔP1 is extremely small, it cannot be denied that the actual office power consumption reduction amount ΔPE1 <h> is a negative value.

  Real office power consumption reduction amount ΔPE1 <h> has a positive value Target employees Xh are selected in order from those with the largest real office power consumption reduction amount ΔPE1 <h>, and actually stop working. By doing so, a substantially large power saving effect can be obtained.

[Third embodiment]
Next, another embodiment (third embodiment) of the power saving effect verification process described as the second embodiment will be described with reference to the flowchart shown in FIG.

  In the verification process of the second embodiment, the actual establishment power consumption reduction amount ΔPE1 <h> in the case where there is one target employee for the predetermined verification target day (for example, N + 1 day) is the target employee. It is assumed that the power saving effect due to the suspension of work at each individual employee can be ascertained by calculating by individual. However, if the verification target date is different, the target employee with a large real establishment power consumption reduction ΔPE1 <h> The order of Xh is also different. Therefore, in the third embodiment, the actual establishment power consumption reduction amount for each verification target day through a plurality of verification target dates Yg (for example, Yg = N + g days, g = 1 to Z, Z is the number of verification target days Yg). By calculating ΔPE1g <h> and calculating the total of them, it is possible to compare the real office power consumption reduction amount ΔPE1T <h> through the plurality of verification target dates Yg among the target employees Xh. Become.

  Hereinafter, with respect to the verification process of the third embodiment, the process added to the process of the second embodiment will be described with reference to each process (step # 11 to step # 19) of the second embodiment. The description overlapping with the first and second embodiments is omitted.

  First, in step # 21, as in the case of step # 11 of the second embodiment, when the verification process is started, one of the candidate employees Xh and a plurality of verification target dates Yg are included. The first day is designated (step # 22). Here, h = 1 and g = 1 are set.

  Hereinafter, the processing of step # 13 to step # 19 of the second embodiment is repeatedly executed in order for each verification target date among the plurality of verification target dates Yg, and for all candidate employees, for each verification target date. Each real establishment power consumption reduction amount ΔPE1g <h> (h = 1 to M, g = 1 to Z) is calculated (step # 23). Specifically, each time step # 23 ends, it is checked whether the verification date Yg is the last day (g = Z). If it is not the last day, the value of g is incremented by one. Step # 23 is repeated (step # 13 to step # 19 in the second embodiment).

  When step # 23 is executed for all of the plurality of verification target dates Yg, the real establishment power consumption reduction amount ΔPE1g <h> (h = 1 to M) for each candidate employee is verified. The actual establishment power consumption reduction amount ΔPE1T <h> (= Σ (ΔPE1g <h>)) is calculated through the target dates Yg (step # 24).

  If the real office power consumption reduction amount ΔPE1T <h> is a positive value (ΔPE1T <h >> 0), it is substantial when the attendance of the target employee Xh is stopped through a plurality of verification target dates Yg. On the contrary, if the negative value (ΔPE1T <h> <0), there is a power saving effect at the establishment, but the power consumption amount of the target employee Xh at home is reduced. It can be determined that the increase amount exceeds the reduction amount on the operator side, has no substantial power saving effect, and is counterproductive. Even if the real establishment power consumption reduction amount ΔPE1T <h> is a positive value, for each verification target day, the day when the real establishment power consumption reduction amount ΔPE1g <h> is a small value or a positive value. However, it is possible to grasp the substantial power saving effect when the attendance of the target employee Xh is stopped through the plurality of verification target days Yg by evaluating as a whole through the plurality of verification target dates Yg. it can.

  Real employee power consumption reduction amount [Delta] PE1T <h> has a positive value Target employees Xh are selected in order from those with larger real office power consumption reduction amount [Delta] PE1T <h>, and actually verified By stopping work throughout the target day, a substantial power saving effect can be obtained.

[Fourth embodiment]
Next, another embodiment (fourth embodiment) of the power saving effect verification process described as the first embodiment will be described with reference to the flowchart shown in FIG.

  In the verification process of the first embodiment, any one day (for example, N + 1 day) after the day (N day) after the verification of the power saving effect is set as the verification target day, that is, the power saving measure by actually stopping work is taken. We assumed a case of verifying the power saving effect before doing this. As described in the first to third embodiments, the system 1 of the present invention is effective for verifying the power saving effect with respect to the future power saving measures. However, the verification of the power saving effect with respect to the already implemented power saving measures is possible. Can also be used. In the fourth embodiment, verification processing of the power saving effect with respect to the power saving measures already implemented is performed.

  Even in the verification processing of the fourth embodiment, the processing contents performed by the seven information processing units 12 to 18 of the arithmetic processing unit 10 are not substantially different from those of the first embodiment, but the verification target date is already set. There is a change in the processing content accompanying the arrival. Hereinafter, the verification process of the fourth embodiment will be described mainly with respect to differences from the processes (step # 1 to step # 9) of the first embodiment, and the description overlapping with the first embodiment will be omitted.

  First, in step # 31, when the verification process is started as in step # 1 of the first embodiment, the first input unit 12 performs the same process as in step # 2 of the first embodiment. Stores the employee code of all employees, the home identification information that identifies the home or non-home of all target employees on the date of verification, and basic data in which the number of people at home of the target employees is entered It reads out from the area where the basic data of the device 20 was stored and the number-of-homes DB 25 and temporarily stores it in the storage area of the computer 11 (step # 32). In the fourth embodiment, it is assumed that past home identification information and the number of people at home of the target employee are recorded in the home number DB 25.

  Subsequently, the second input unit 13 reads out the first meteorological result data consisting of the actual values of the weather at the location of the establishment on the verification target day and the predetermined statistical values of the outside temperature from the establishment meteorological DB 22, and the basic data The second of the actual values of the predetermined statistical values of the weather and the outside temperature of each home employee of the home target employee who was at home on the verification target day based on the home identification information among the target employees specified in The actual weather data is read from the home weather DB 26 and temporarily stored in the storage area of the computer 11 (step # 33).

  Subsequently, the same weather working day extraction unit 14 replaces the first weather forecast data in the first embodiment, based on the first weather result data acquired in step # 33, and is similar to step # 4 in the first embodiment. In a manner, two or more days of the same weather work day D1 (i) (i = 1 to n, n ≧ 2) are extracted (step # 34). However, two or more same weather work days D1 (i) include verification dates.

  Subsequently, the office reduction amount calculation unit 15 grasps the target employee number K and calculates the number of workers (M−K) on the verification target day in the same manner as steps # 5 and # 6 of the first embodiment ( In step # 35), the reduction amount ΔP1 of the office power consumption P1 as a result of stopping the work of all the target employees is calculated (step # 36). The calculation method of the reduction amount ΔP1 uses the same calculation methods A1 to E1 as in the first embodiment.

  Subsequent to step # 36, the same weather at-home day extraction unit 16 replaces the second weather forecast data in the first embodiment with respect to each of the home target employees based on the second weather result data acquired in step # 33. In the same manner as in step # 7 of the first embodiment, the same weather staying day D2 (q, r) (q = 1 to m (r), m (r) ≧ 2) for two days or more is extracted ( Step # 37). However, the same weather staying day D2 (q, r) for two days or more includes the verification target date.

  Subsequently, the home increase amount calculation unit 17 calculates the home power consumption increase ΔP2 <r> for each of the home target employees, as in step # 8 of the first embodiment (step # 38). The calculation method of the home power consumption increase amount ΔP2 <r> uses the same calculation methods A2 to E2 as in the first embodiment.

  Subsequent to step # 38, the actual reduction amount calculation unit 18 calculates the power consumption reduction amount ΔP1 calculated in step # 36 in step # 38 in the same manner as in step # 9 in the first embodiment. Real office power consumption reduction amount ΔPE1 (= ΔP1−Σ (ΔP2 <r>)) obtained by subtracting the total of home power consumption increase amounts ΔP2 <r> of all employees who are living at home (Σ (ΔP2 <r>)) is calculated. (Step # 39).

  In the above description, the case where the processing from step # 34 to step # 38 is executed in the order of description has been described. However, the processing from step # 34 to step # 36 until the reduction amount ΔP1 is calculated, and the step # 37 to step # 38. The processing until calculating the power consumption increase ΔP2 <r> of each home target employee in # 38 may be executed in reverse order or in parallel.

  If the real establishment power consumption reduction amount ΔPE1 obtained by executing the power saving effect verification process from step # 31 to step # 39 is a positive value (ΔPE1> 0), the plurality of target employees As a result, it was determined that there was a substantial power saving effect. Conversely, if the value was negative (ΔPE1 <0), the office had a power saving effect, but the work was stopped. It can be determined that the total amount of increase in power consumption at each home of the target employee is greater than the amount of reduction on the business side, has no substantial power saving effect, and is counterproductive.

Hereinafter, another embodiment will be described.
<1> In the above embodiment, the calculation method of the reduction amount ΔP1 of the establishment power consumption P1 by the establishment reduction amount calculation unit 15 is not necessarily limited to any of the above-described calculation methods A1 to E1. .

<2> In the above embodiment, the calculation method of the home power consumption increase amount ΔP2 <r> by the home increase amount calculation unit 17 is not necessarily limited to any of the above calculation methods A2 to E2.

<3> In the above embodiment, the method of calculating the number of people staying at home for each employee and day recorded in the number of people staying at home DB 25 is the time width of the second time zone. It is not limited to the calculation method (calculation method A3) calculated by rounding off to the nearest decimal place. For example, in calculation method A3, rounding may be performed to the second decimal place and the first decimal place may be left. However, in this case, since the number of people at home is not necessarily an integer, in step # 7 of the first embodiment, the same weather at-home day extraction unit 16 performs the same weather at-home day D2 for at least two days with different numbers of people at home. When extracting (q, r), it is preferable to secure 1 or more as the difference in the number of people at home. Further, in the case of using the above-described calculation method D2 or E2 as a method for calculating the home power consumption increase ΔP2 <r>, the target employee on the verification target date included in the basic data that the first input unit 12 receives input from The number of people at home in each home is not limited to an integer. Further, in the case of using the above-described calculation method D2, the same weather at-home day D2 (s, r) having the same number of people at home as the number of people at home on the verification target day is extracted for one day or more, It is preferable to allow a certain degree of error (for example, ± 0.25) in determining whether or not the same weather staying day D2 (t, r) less by one is extracted for one day or more.

  Further, as a method for calculating the number of people at home other than the calculation method A3, for example, an average value of the number of people at home in the second time zone (for example, the above-mentioned work hours) of each employee may be used (calculation method). B3). Specifically, work hours (for example, 14 hours) are divided into, for example, 4 hours and 40 minutes, and the average number of people at home (integer of 0 or more) for each divided time zone is used as the number of people at home. To do. Also in this case, since the number of people at home is not necessarily an integer, the above-described correspondence is preferable. In the calculation of the average number of people at home in the calculation method B3, as in the calculation method A3, the numbers after the decimal point may be rounded to an integer.

  The power-saving effect verification system according to the present invention can be used to verify the power-saving effect when at least some employees stop working at an office where a plurality of employees work by computer data processing. It is.

1: Power saving effect verification system 10: Arithmetic processing unit 11: Computer 12: First input unit 13: Second input unit 14: Same weather working day extraction unit 15: Establishment reduction amount calculation unit 16: Same weather at-home day extraction unit 17: Home increase calculation unit 18: Real reduction calculation unit 20: Storage device 21: Office power consumption DB
22: Office weather DB
23: Workforce DB
24: Home power consumption DB
25: Number of people at home DB
26: Home weather DB

Claims (8)

In an office where a plurality of employees work, a power saving effect verification system for verifying a power saving effect when at least some of the employees are stopped from work,
Computation processing means for verifying the power saving effect by computer data processing, and storage means,
The storage means
An establishment power consumption DB for storing establishment electricity consumption, which is an actual value of power consumption in a predetermined first time period in units of days for the entire establishment;
An office weather DB for recording predetermined statistical values of daily weather and outside temperature of the location of the office;
A workforce DB that stores the number of employees of the employee who worked in the office on a daily basis;
Household power consumption, which is an actual value of power consumption in a predetermined second time zone in units of daily homes of at least all candidate employees who are candidates for suspension of work among the employees, is stored for each employee. Home power consumption DB,
The number of people at home DB that stores the number of people at home in the second time zone in units of days at the homes of all the candidate employees,
A home weather DB is provided for storing predetermined statistical values of the daily weather and outside temperature of each of the candidate employees' home locations for each employee,
The arithmetic processing means is
The employee identification information of all the target employees who stop working on the verification target date among the candidate employees, and the home identification information for identifying home or non-home at each home of the target employees on the verification target date A first input unit that accepts an input of
First weather prediction data of predetermined statistical values of weather and outside temperature at the location of the establishment on the verification target day, and a home target employee staying at home on the verification target day among the target employees A second input unit that accepts input of second weather prediction data of predetermined statistical values of the weather and the outside temperature of each person's home location;
Based on the first weather forecast data, the office weather DB and the working number DB are searched, and the verification target day and the weather are the same, and the predetermined statistical value of the outside temperature is the same within a predetermined error range. And the same weather working day extraction part which extracts the same weather working day more than two days from which the number of workers differs at least,
From the establishment power consumption DB, the establishment electricity consumption on the same weather working day for two days or more is read, and the two or more establishment electric power consumptions with different numbers of workers are used to read the target A site reduction amount calculation unit for calculating a reduction amount of the site power consumption when all employees stop working;
Based on the second weather prediction data, the home weather DB and the number of home users DB are searched for each of the home target employees, and the predetermined statistical value of the outside temperature is the same as the verification target day and the weather. The same weather at-home day extraction unit that extracts the same weather at-home day of two or more days that are the same within a predetermined error range and at least the number of at-home people is different,
For each of the employees at home, the home power consumption is read out from the home power consumption DB for two days or more on the same weather at home, and two or more home power consumptions with different numbers of people at home are obtained. Using a home increase amount calculating unit for calculating a change amount of the home power consumption when the home target employee is at home and not at home as a home power consumption increase amount; and
A real reduction amount calculation unit that calculates a real establishment power consumption reduction amount obtained by subtracting a total of the increase in the home electricity consumption of all the employees who are at home from the reduction amount of the establishment power consumption. A system for verifying power-saving effects.   The establishment reduction amount calculation unit calculates a unit change amount of the establishment electric power consumption when the number of employees changes by 1 using two or more establishment electric power consumptions with different numbers of employees read. The power saving effect verification system according to claim 1, wherein the reduction amount of the power consumption of the establishment is calculated by multiplying the unit change amount by the number of all the target employees.   The office reduction amount calculation unit uses the two or more office power consumptions with different numbers of workers read out, and the office power consumption and work on the verification target day when all the employees work 2. The office power consumption for each person is calculated, and a difference between the two calculated office power consumptions is calculated to calculate a reduction amount of the office power consumption. The power saving effect verification system described in 1.   The home increase amount calculation unit calculates a unit change amount of the home power consumption when the number of home power changes by one using the two or more home power consumption amounts with different number of home power, and the home power consumption The power saving effect verification system according to any one of claims 1 to 3, wherein a unit change amount of the consumption amount is set as the home power consumption increase amount. The first input unit further accepts input of the number of people at home including the target employees at each of the target employees on the verification target date,
The home increase amount calculation unit uses the two or more home power consumptions with different numbers of people at home to calculate the verification target date from the home power consumption when all of the number of people at home on the verification target date are at home. The power saving effect according to any one of claims 1 to 3, wherein the home power consumption increase amount is calculated by subtracting the home power consumption amount when the number of people subtracting 1 from the number of people at home is at home. Verification system. The first input unit accepts input of the employee identification information and the home identification information when the target employee is one person,
The second input unit inputs the second weather forecast data of the target employee when one target employee accepted by the first input unit is at home for each target employee. Accept
The establishment reduction amount calculation unit calculates a unit reduction amount of the establishment electric power consumption when the work of one target employee is stopped,
When the one target employee accepted by the first input unit is at home, the home increase calculation unit calculates the increase in home power consumption of the target employee for each target employee. When each of the target employees calculated and received by the first input unit is not at home, the home power consumption increase of the target employee is set to 0,
For each target employee accepted by the first input unit, the actual reduction amount calculation unit subtracts the increase in home power consumption of one target employee from the unit reduction amount of the office power consumption. The power saving effect verification system according to any one of claims 1 to 5, wherein a real office power consumption reduction amount is calculated. For each of the plurality of verification dates,
The first input unit receives the employee identification information and the home identification information input when the target employee is one person,
The second input unit inputs the second weather forecast data of the target employee when one target employee accepted by the first input unit is at home for each target employee. Accept
The establishment reduction amount calculation unit calculates a unit reduction amount of the establishment electric power consumption when the work of one target employee is stopped,
When the one target employee accepted by the first input unit is at home, the home increase calculation unit calculates the increase in home power consumption of the target employee for each target employee. When each of the target employees calculated and received by the first input unit is not at home, the home power consumption increase of the target employee is set to 0,
For each target employee accepted by the first input unit, the actual reduction amount calculation unit subtracts the increase in home power consumption of one target employee from the unit reduction amount of the office power consumption. Calculate real office power consumption reduction,
The said real reduction amount calculation part calculates the sum total of the said individual real office power consumption reduction amount calculated about each of the said several verification object day according to the said subject employee. Power saving effect verification system. In the case where the verification target date is the past day in which at least some of the employees have already been stopped,
The 2nd input part is the 1st weather which is the actual data of the predetermined statistical value of the weather of the location of the office on the verification object day, and the outside temperature on behalf of the acceptance of the input of the 1st weather forecast data The actual data is read from the business site weather DB, and instead of accepting the input of the second weather forecast data, the weather and the outside of the location of each home of all the home target employees who were at home on the verification target day Read out the second weather performance data, which is the actual data of the predetermined statistical value of the temperature, from the home weather DB,
The same weather working day extraction unit extracts the same weather working day of two or more days based on the first weather result data instead of the first weather forecast data,
The same weather at-home day extraction unit extracts the same weather at-home day for two days or more based on the second weather performance data instead of the second weather forecast data for each of the at-home employees.
The power saving effect verification system according to any one of claims 1 to 5, wherein the two days or more of the same weather working day and two or more days of the same weather at-home day each include the verification target date. .

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