WO2022004134A1

WO2022004134A1 - Building facility evaluation device and program

Info

Publication number: WO2022004134A1
Application number: PCT/JP2021/017797
Authority: WO
Inventors: 大樹小林; 隆義飯田; 裕希川野; 智祐成井; 朋興浮穴; 利宏妻鹿; 修一村山
Original assignee: 三菱電機株式会社
Priority date: 2020-06-30
Filing date: 2021-05-11
Publication date: 2022-01-06
Also published as: JP7471933B2; JP2022011295A

Abstract

A building facility evaluation device (10) comprises: a daily power consumption amount estimation unit (13) that calculates a daily power consumption amount for each building to be evaluated during a prescribed period by setting an OA equipment power consumption amount for each day, which is calculated on the basis of the number of people present in each unit time and an OA equipment coefficient, as an excluded power consumption amount, and then subtracting this excluded power consumption amount from a power consumption amount for each day of the entire building; an index calculation unit (14) that calculates, as an air conditioning index and an illumination index, on the basis of the daily power consumption amount during the prescribed period and a total floor area of the building, a ratio of the power consumption amount of air conditioning facilities and that of illumination facilities of the building, respectively, relative to the power consumption amount of the entire building; and an evaluation unit (15) that evaluates, on the basis of the calculated indexes, the necessity of repairing the air conditioning facilities and illumination facilities installed in the building.

Description

Building equipment evaluation equipment and programs

The present invention relates to a building equipment evaluation device and a program, particularly to an evaluation regarding the necessity of repairing the equipment.

A company that provides a building equipment monitoring service may propose to a building that provides a building equipment monitoring service to repair the equipment for the purpose of energy saving. In particular, the energy-saving effect of air-conditioning equipment and lighting equipment in buildings varies greatly depending on the renovation and specifications of the current equipment. I would like to give priority to the renovation of equipment from the building.

For that purpose, it is desirable to obtain the power consumption of each facility as information so that the energy saving effect of the repair can be presented. However, although it is possible to grasp the power consumption of the entire building, it may be difficult to grasp the power consumption of each facility. If you can get a drawing showing all the equipment installed in the building, it may be possible to estimate the power consumption of each equipment, but if you can not get the drawing, go to the site and investigate. It takes a lot of trouble.

Therefore, conventionally, a technique for calculating the power consumption for each facility from the power consumption of the entire building has been proposed (for example, Patent Document 1).

Japanese Unexamined Patent Publication No. 2016-151804 JP-A-2017-050971 Japanese Unexamined Patent Publication No. 2018-055724 Japanese Unexamined Patent Publication No. 2011-108173 Japanese Unexamined Patent Publication No. 2009-196789

However, in the past, it was assumed that the power consumption of OA (Office Automation) equipment was constant, so depending on the purpose of the building, the consumption of each equipment would be an indicator of the need for renovation. It is not always possible to estimate the amount of power correctly. Therefore, it is not always possible to correctly evaluate the need for equipment refurbishment for the purpose of energy saving.

It is an object of the present invention to be able to more accurately evaluate the necessity of repairing equipment for the purpose of energy saving.

The building equipment evaluation device according to the present invention is a building information acquisition means for acquiring information indicating the scale of the building and building information including the electric energy consumption of the entire building for each day in a predetermined period, and for each unit time of the building. Each day's power consumption of equipment other than the equipment to be evaluated in the building by referring to the location number acquisition means for acquiring the location number information including the location number and the location number information is excluded as the daily excluded power consumption. Daily power consumption that is calculated and estimated as daily power consumption by subtracting the daily excluded power consumption for that day from the power consumption for each day to estimate the power consumption consumed by the equipment to be evaluated. Using the quantity estimation means, the building information, and the daily power consumption, an index indicating the ratio of the power consumption of the equipment to be evaluated to the power consumption of the entire building in the predetermined period is used. It has an index calculation means for calculation and an evaluation means for evaluating the necessity of repairing the equipment to be evaluated by referring to the index value calculated by the index calculation means.

Further, the index calculation means calculates the index for each building when a plurality of the buildings exist, and the evaluation means prioritizes the evaluation results of each of the plurality of buildings based on the index of each building. Is.

Further, the daily power consumption estimation means multiplies the number of people located in the building for each unit time by the OA equipment coefficient indicating the power consumption by the OA equipment per number of people to obtain the daily excluded power consumption. It is to be calculated.

In addition, the daily power consumption estimation means adds up the power consumption calculated separately for the resident and the non-resident of the building using the OA equipment coefficient set for each of the resident and the non-resident. The daily excluded power consumption is calculated.

Further, the daily power consumption estimation means uses the power consumption of each day included in the predetermined period of the entire building as the steady power consumption even when there are no people in the building. The daily power consumption is estimated by subtracting.

Further, when the equipment to be evaluated is an air conditioner, the index calculation means obtains a value obtained by subtracting the minimum value of the daily power consumption from the maximum value selected from the daily power consumption. The index related to the air conditioner is calculated by dividing by the information indicating the scale of the building.

Further, the index calculation means selects the maximum value of the daily power consumption from the period during which the air conditioner is used.

Further, the index calculation means selects the minimum value of the daily power consumption from the period during which the air conditioner is not used.

Further, the index calculation means selects the maximum value or the minimum value of the daily power consumption from the business days of the company that uses the building.

Further, in the index calculation means, when the equipment to be evaluated is lighting equipment, the power consumption by the lighting equipment among the power consumption of each day is set to the minimum value selected from the daily power consumption. The index related to the lighting equipment is calculated by dividing the value obtained by multiplying the lighting coefficient determined by the indicated ratio by the information indicating the scale of the building.

Further, the index calculation means calculates the lighting coefficient by referring to the number of people in the building per unit time.

In the program according to the present invention, a computer is used as a building information acquisition means for acquiring information indicating the scale of a building and building information including electric energy consumption for each day in a predetermined period of the entire building, and the location of the building for each unit time. The daily power consumption of equipment other than the equipment to be evaluated in the building is calculated as the daily excluded electric energy by referring to the location acquisition method for acquiring the location information including the number of people and the location information. , Daily power consumption estimation that estimates the power consumption consumed by the equipment to be evaluated as the daily power consumption by subtracting the daily excluded power consumption of the day from the power consumption of each day. An index for calculating an index indicating the ratio of the electric energy of the equipment to be evaluated to the electric energy of the entire building in the predetermined period by using the means, the building information, and the daily electric energy. It functions as a calculation means and an evaluation means for evaluating the necessity of repairing the equipment to be evaluated by referring to the index value calculated by the index calculation means.

According to the present invention, it is possible to more accurately evaluate the necessity of repairing equipment for the purpose of energy saving.

It is a block block diagram which shows the building equipment evaluation apparatus in Embodiment 1. FIG. It is a hardware block diagram of the computer which forms the building equipment evaluation apparatus in Embodiment 1. FIG. It is a figure which shows the data structure example of the building information stored in the building information storage part in Embodiment 1. FIG. It is a figure which shows the data structure example of the locating person information stored in the locating person information storage part in Embodiment 1. FIG. It is a flowchart which shows the building evaluation process in Embodiment 1. It is a figure which shows an example of the evaluation result of a building in Embodiment 1. FIG. It is a figure which shows the data structure example of the electric power information in Embodiment 3. FIG. It is a flowchart which shows the steady power consumption calculation process in Embodiment 3. It is a figure which shows the data structure example of the building use information in Embodiment 4. It is a figure which shows the data structure example of the location person information stored in the location person information storage part in Embodiment 4. FIG. It is a figure used for demonstrating how to obtain the illumination coefficient in Embodiment 6. It is a figure which shows the calculation formula of the expected value used when the lighting coefficient is calculated in Embodiment 6.

Hereinafter, preferred embodiments of the present invention will be described with reference to the drawings. The building equipment evaluation device in the present embodiment is one form of the building equipment evaluation device according to the present invention. The building equipment evaluation device in the present embodiment is mainly used by a company that provides a monitoring service for equipment installed in a building, which is a form of a building, and is used for evaluating equipment subject to the monitoring service. In each of the embodiments described below, the case where the air-conditioning equipment and the lighting equipment having a relatively large energy-saving effect by the repair are targeted for evaluation will be described as an example. At least one of the air conditioning equipment and the lighting equipment may be evaluated, and other equipment such as an elevator may be evaluated.

In addition, based on the evaluation results of the necessity of renovation of air conditioning equipment and lighting equipment, the buildings equipped with air conditioning equipment and lighting equipment will be evaluated, and the buildings to which the equipment renovation proposals will be proposed will be prioritized. In the explanation, the building may be evaluated.

Embodiment 1.
FIG. 1 is a block configuration diagram showing a building equipment evaluation device according to the present embodiment. FIG. 2 is a hardware configuration diagram of a computer forming the building equipment evaluation device according to the present embodiment. The building equipment evaluation device 10 in the present embodiment can be realized by a conventional general-purpose hardware configuration such as a personal computer (PC). That is, as shown in FIG. 2, the building equipment evaluation device 10 includes a CPU 1, a ROM 2, a RAM 3, a hard disk drive (HDD) 4 as a storage means, a network interface (IF) 5 provided as a communication means, a mouse, a keyboard, and the like. A user interface (UI) 6 including an input means and a display means such as a display is connected to the internal bus 7.

Returning to FIG. 1, the building equipment evaluation device 10 in the present embodiment includes a building information acquisition unit 11, a number-of-location calculation unit 12, a daily power consumption estimation unit 13, an index calculation unit 14, an evaluation unit 15, and a display control unit. 16. It has a building information storage unit 17 and a location information storage unit 18. The components not used in the description of the present embodiment are omitted from the drawings.

The building equipment evaluation device 10 in the present embodiment is connected to the in-house building management server and the entrance / exit management system of each building to be evaluated via a network (not shown). The building information acquisition unit 11 acquires building information from a building management server, a system of a customer who owns a building, or the like. The acquired building information is stored in the building information storage unit 17. In addition, the location number calculation unit 12 acquires the entry / exit information of the building from the entry / exit management system of each building, and calculates the number of locations in the building. The whereabouts information including the calculated number of whereabouts is stored in the whereabouts information storage unit 18. In this embodiment, the number of people in each unit time, for example, every hour is calculated. The daily power consumption estimation unit 13 estimates the daily power consumption by referring to the information on the number of people located and the information on the building. In the present embodiment, since the past one year is assumed as the predetermined period, the daily power consumption estimation unit 13 estimates the daily power consumption in the past one year as the daily power consumption. The index calculation unit 14 uses the building information and the daily power consumption to calculate an index indicating the ratio of the power consumption of the equipment to be evaluated to the power consumption of the entire building in a predetermined period. In the present embodiment, as described above, an index for the air-conditioning equipment to be evaluated (hereinafter, “air-conditioning index”) and an index for the lighting equipment (hereinafter, “lighting index”) among the building equipment are calculated. The evaluation unit 15 evaluates the necessity of repairing the equipment to be evaluated by referring to the index value calculated by the index calculation unit 14, and then evaluates the building equipped with the equipment to be evaluated. The display control unit 16 controls the display of the evaluation result by the evaluation unit 15.

FIG. 3 is a diagram showing an example of data configuration of building information stored in the building information storage unit 17 in the present embodiment. FIG. 3 shows only the information items used in the description of the present embodiment. The building information is information about the building to be contracted, which is acquired by the building information acquisition unit 11. Building information includes building basic information, electric power information, and building usage information.

The building basic information shown in FIG. 3 (a) is basic information regarding the use of the building, contracts, and the like. The basic building information is set by associating a building identifier, which is identification information for identifying a building, with a total floor area as information indicating the building use and scale of the building.

The power information shown in FIG. 3 (b) is information showing the amount of power consumed each day in the entire building. The electric power information is set by associating the above-mentioned building identifier with the date when the electric power is consumed in the entire building and the electric energy consumption on the date. The "power consumption amount" in the present embodiment indicates the power consumption actually consumed (used), and is the power consumption measured at the power receiving point of the building. Power consumption is sometimes called power consumption or power consumption.

The building usage information shown in FIG. 3 (c) is not limited to the building contracted by the equipment monitoring service provider, but includes general index values related to the building. The building use information includes the OA equipment coefficient and the lighting coefficient. The OA equipment coefficient is a coefficient that assumes the amount of power consumed by OA equipment per person. For example, "Calculation / judgment method and explanation based on the 2013 Energy Conservation Standards 1 Non-residential building (2nd edition)" etc. The coefficient defined in the above may be used. The lighting coefficient is a coefficient determined for each building application and determined according to the ratio of the power consumption of the lighting equipment to the power consumption of each day.

FIG. 4 is a diagram showing a data configuration example of the number of people in the location information stored in the number of people in the location information storage unit 18 in the present embodiment. The location information is information indicating the number of people in each building for each unit time. The location number information is set by associating the above-mentioned building identifier with the date and time when the location number is obtained and the location number at the date and time. In the present embodiment, the case where the unit time is set to 1 hour will be described as an example, so that the information on the number of people in each building can be obtained every hour. In the present embodiment, the number of people in the location is assumed to be the average number of people between the date and time immediately before and the date and time included in the information on the number of people in the location. For example, the number of people in the area corresponding to 1:00 on April 1, 2020 is the average number of people from 0:00 on April 1, 2020 to 1:00 on the same day. Of course, the present invention is not limited to this example, and for example, the number of people present at the time shown in FIG. 4 may be used.

Each component 11 to 16 in the building equipment evaluation device 10 is realized by a cooperative operation between the computer forming the building equipment evaluation device 10 and the program operated by the CPU 1 mounted on the computer. Further, each of the

storage units

17 and 18 is realized by the HDD 4 mounted on the building equipment evaluation device 10. Alternatively, RAM 3 or an external storage means may be used via the network.

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

A building equipment monitoring service provider may want to preferentially propose equipment renovation from buildings equipped with equipment that is presumed to have a high need for equipment renovation. In the present embodiment, an index indicating the necessity of repairing the air conditioning equipment and the lighting equipment (that is, the air conditioning index and the lighting index) is derived from the power consumption of the entire building, and the air conditioning equipment is derived from the derived air conditioning index and the lighting index. It is characterized by assessing the need for refurbishment of lighting equipment and, by extension, the building. Hereinafter, the building evaluation process for evaluating a building according to the necessity of equipment repair will be described with reference to the flowchart shown in FIG.

First, the building information acquisition unit 11 acquires the building information shown in FIG. 4 from a customer who owns the building to be evaluated, an in-house building management server, or the like, and stores it in the building information storage unit 17 (step 101). Subsequently, the location number calculation unit 12 acquires entrance / exit information regarding entrance / exit to the building from the entrance / exit management system of each building to be evaluated (step 102). Since the entry / exit information generally includes a record of when and who entered or left the building, the number-of-location calculation unit 12 aggregates the number of visitors and the number of people leaving the building for each unit time, as shown in FIG. The indicated number of people is calculated (step 103), time information corresponding to the calculated number of people is added, and the information is stored in the number of people information storage unit 18.

In this embodiment, the building is evaluated with reference to the data of the past one year as a predetermined period, so that the power information and the information on the number of people in the building include the actual data for the past one year. The processes performed by the building information acquisition unit 11 and the number-of-location calculation unit 12 described above may be performed in the reverse order or may be performed in parallel.

Subsequently, the daily power consumption estimation unit 13 implements the process described below for each building to be evaluated. First, the daily power consumption estimation unit 13 selects a building that is not a processing target from the buildings to be evaluated (step 104). Then, the daily power consumption estimation unit 13 calculates the daily excluded power consumption amount as follows (step 105).

As described above, in the present embodiment, the air conditioning equipment and the lighting equipment are subject to the evaluation of the necessity of repair. Therefore, the “excluded power consumption” is an estimation of the power consumption of the air conditioning equipment and the lighting equipment. In this case, it means the amount of power consumption that you want to exclude from the amount of power consumption for each day included in the power information. "Daily excluded power consumption" means the excluded power consumption in each day in a predetermined period (past one year). The excluded power consumption mainly includes the power consumption of OA equipment such as telephones, computers, copies, and facsimiles. In the present embodiment, it is assumed that the excluded power consumption is composed of the power consumption by the OA device (hereinafter, “OA device power consumption”).

The OA equipment power consumption for each day (hereinafter, "daily OA equipment power consumption") is calculated by the sum of the multiplication of the number of people in each unit time of the day and the OA equipment coefficient. That is, it is based on the idea that the power consumption of OA equipment fluctuates according to the number of people in the area. As described above, in the present embodiment, the number of people in the area is obtained every hour, so the number of people in the area (24 data) at each time is multiplied by the OA equipment coefficient with reference to the information on the number of people in the area. Become. The OA equipment coefficient to be multiplied by the number of people located is set for each building use as shown in FIG. 3 (c), but the building use of the building to be processed is shown in FIG. 3 (a). Obtained by referring to the building basic information.

The daily OA electric energy consumption in the present embodiment is the electric energy consumed by equipment other than the air conditioning equipment and the lighting equipment (OA equipment in the present embodiment), and therefore is the processing target shown in FIG. 3 (b). By subtracting the daily OA equipment power consumption of the day from the daily power consumption of the building, the daily power consumption including the power consumption of the air conditioning equipment and lighting equipment to be evaluated on that day can be obtained. can get. In this way, the daily power consumption estimation unit 13 subtracts the daily excluded power consumption (in the present embodiment, the daily OA equipment power consumption) from the daily power consumption. The obtained calculation result is estimated as the daily power consumption on that day (step 106). In the present embodiment, the power consumption of the day obtained by subtracting the daily excluded power consumption of the day from the power consumption of each day is referred to as "daily power consumption" as described above. I will decide. As described above, the daily power consumption estimation unit 13 estimates the daily power consumption for the past one year, that is, the past 365 (or 366) days.

Subsequently, the index calculation unit 14 will calculate the air conditioning index and the lighting index. For that purpose, first, the maximum daily power consumption of the past year calculated by the daily power consumption estimation unit 13. The daily power consumption amount to be the value and the minimum value is selected (step 107). Then, the air conditioning index and the lighting index are calculated by the following formula (step 108).

Air conditioning index = (maximum daily power consumption-minimum daily power consumption) / total floor area

Lighting index = (minimum value of daily power consumption x lighting coefficient) / total floor area

In the above formula, the total floor area can be obtained from the basic building information. Since the building use of the building can be specified from the building basic information of the building to be processed, the lighting coefficient can be obtained by referring to the building use information.

By the way, it is considered that the ratio of the power consumption of the air conditioning equipment to the power consumption of the entire building is relatively large. The daily power consumption is the power consumption of each day including the power consumption of the air conditioning equipment and the lighting equipment, but here, the air conditioning equipment is not used or can be ignored in the middle period other than the summer and winter. Assuming that the power consumption is, it can be inferred that the minimum value of the daily power consumption is selected from the daily power consumption of any day in the interim period. The minimum value of the daily power consumption is mainly the power consumption of the lighting equipment. Therefore, the average power consumption in the lighting equipment per area calculated by multiplying the minimum value of the daily power consumption by the lighting coefficient and dividing by the total floor area is calculated as the lighting index.

On the other hand, since air-conditioning equipment is used relatively frequently in summer and winter other than the middle season, the daily power consumption of the daily power consumption of any day in summer or winter is calculated. It can be inferred that the maximum value will be elected. Then, since the minimum value of daily power consumption is selected from the days in the interim period when the air conditioning equipment is not used, the day when the minimum value of daily power consumption is subtracted from the maximum value of daily power consumption. The separate power consumption can be estimated to be the daily power consumption of the air conditioning equipment. The average power consumption of the air-conditioning equipment per area calculated by dividing the daily power consumption of the air-conditioning equipment by the total floor area is calculated as the air-conditioning index.

If the index value indicated by the air conditioning index or lighting index is relatively large, it means that the air conditioning equipment or lighting equipment is consuming electric power. Assuming that this power consumption is due to deterioration of the equipment over time and continuous use of the old model, it can be expected that the power consumption will be reduced by repairing the equipment. The larger the index value of the air conditioning index or the lighting index, the greater the energy saving effect obtained by renovating the equipment.

When the above-described processing (steps 104 to 108) is not performed on all the buildings to be evaluated (N in step 109), the above processing is repeated so as to be performed on all the buildings to be evaluated. .. Then, when the above processing is performed on all the buildings to be evaluated (Y in step 109), the evaluation unit 15 refers to the index value calculated by the index calculation unit 14 and the air conditioning equipment to be evaluated. The need for refurbishment of lighting equipment is evaluated as follows.

That is, since the air conditioning index and the lighting index are calculated for all the buildings to be evaluated, the evaluation unit 15 compares the air conditioning index in each building with the standard air conditioning index and the lighting index with the standard lighting index. .. The standard air conditioning index and the standard lighting index are threshold values for determining whether or not each facility needs to be repaired. If at least one of the calculated air conditioning index or lighting index is equal to or greater than the corresponding threshold value, the equipment needs to be refurbished, and the building equipped with the equipment is selected as a proposal destination for the refurbishment of the equipment.

FIG. 6 is a diagram showing an example of the evaluation result of the building by the evaluation unit 15. FIG. 6 shows an example in which the building, the total index, the air conditioning index, and the lighting index are associated with the priority. The air conditioning index and the lighting index are the calculation results for the building by the index calculation unit 14. The total index value is the total value of the air conditioning index and the lighting index, and corresponds to the evaluation result for the building. The building is the building identifier of the building associated with the total index value. Then, each building is prioritized according to the evaluation result. That is, as shown in FIG. 6, the evaluation unit 15 prioritizes each building in descending order of the total index value (step 110). Then, the display control unit 16 displays the evaluation result of the building prioritized by the evaluation unit 15 on the display, and presents it to the person in charge of business who proposes the repair of the equipment in the building equipment monitoring service provider ( Step 111). The output destination of the evaluation result is not limited to the display screen, but may be saved in a file or transmitted via the network.

It is effective and efficient for the person in charge of business to refer to the evaluation results of each building shown in FIG. 6 and make proposals to the building owners in descending order of priority.

In this embodiment, each building is prioritized based on the total value of the air conditioning index and the lighting index, but it is not limited to this. For example, the air conditioner and the lighting equipment may be handled separately. That is, the buildings may be prioritized only by the air conditioning index, and a proposal for repairing the air conditioning equipment may be made. Similarly, buildings may be prioritized based solely on lighting indicators to make suggestions for refurbishment of lighting equipment.

Further, although the air conditioning index and the lighting index are shown in FIG. 6, the difference between the standard air conditioning index and the standard lighting index may be presented. This makes it easier to determine the degree of need for equipment refurbishment.

Embodiment 2.
In the first embodiment, the maximum value of the daily power consumption is selected from the operation period of the air conditioner (that is, the summer and winter when the air conditioner is used), and the stop period of the air conditioner (that is, the intermediate period). ), The minimum value of daily power consumption is selected. However, for example, there is a possibility that the power consumption in the intermediate period will increase due to the maintenance and construction of the equipment in the building during the intermediate period when the air conditioning equipment is not used. Then, there is a possibility that the maximum value of daily power consumption will be selected from the middle period instead of the operation period of the air conditioning equipment. Similarly, the air-conditioning equipment cannot be used due to a failure during the operation period of the air-conditioning equipment, and therefore, the minimum value of daily power consumption may be selected from the operation period of the air-conditioning equipment instead of the intermediate period. Sex arises. It is not preferable that the maximum and minimum values of daily power consumption are selected from the day when such equipment is not normally operated.

Therefore, in the present embodiment, the period corresponding to the summer and winter when the air conditioner is used and the period corresponding to the intermediate period when the air conditioner is not used are set in advance. In this case, one year is classified into a period in which the air conditioner is used, a period in which the air conditioner is not used, and a period not belonging to both periods. It is not always necessary to provide a period that does not belong to both periods. Then, the index calculation unit 14 selects the maximum value of the daily power consumption from the period during which the air conditioner is used. Further, the index calculation unit 14 selects the minimum value of the daily power consumption from the period during which the air conditioner is not used. In this way, by specifying in advance the period in which the maximum and minimum values of daily power consumption should be selected, the maximum and minimum values of daily power consumption are selected by the use of unusual power. It is possible to avoid being done.

Further, in the first embodiment, in step 107 shown in FIG. 5, the maximum value and the minimum value are selected from the daily power consumption for the past one year, but the period during which the air conditioner is used and the air conditioner are used. If the period during which the equipment is not used is set in advance, the processing of steps 105 and 106 can be omitted in the period not included in the above two periods.

The building equipment evaluation device 10 in the present embodiment may be the same as that in the first embodiment. Further, the building evaluation process may be basically the same as that of the first embodiment shown in FIG. However, the method of selecting the maximum value and the minimum value of the daily power consumption in step 107 is different from that of the first embodiment.

Embodiment 3.
In a building, since there are no people at all, even if the air-conditioning equipment and lighting equipment are not used, electric power may be constantly consumed by the equipment that operates for 24 hours. In the first embodiment, the power consumption of the OA equipment, which is the equipment other than the air conditioning equipment and the lighting equipment to be evaluated, is excluded as the power consumption. In this embodiment, the calculation accuracy of the air-conditioning index and the lighting index is improved by including the amount of power constantly consumed when the air-conditioning equipment and the lighting equipment are not used in the excluded power consumption amount.

The building equipment evaluation device 10 in the present embodiment may be the same as that in the first embodiment. However, in the present embodiment, the power consumption for each unit time is required. Therefore, as shown in FIG. 7, the power information stored in the building information storage unit 17 is not daily but daily and unit time. It is necessary to acquire the amount of power consumption for each. The unit time for acquiring the power consumption is one hour, which is the same as the information on the number of people in the area. Further, the building evaluation process in the present embodiment may be the same as that in the first embodiment shown in FIG. However, the following processing described with reference to FIG. 8 is added to the processing in step 105. Hereinafter, the process of calculating the amount of power constantly consumed in the present embodiment (hereinafter referred to as “steady power consumption”) will be described with reference to the flowchart shown in FIG.

First, the daily power consumption estimation unit 13 refers to the information on the number of people in the area and extracts a time zone in which there are no people at all from the predetermined period (past one year), that is, a period in which the number of people in the area is 0 (step). 121). This extracted period corresponds to the period when the air-conditioning equipment and the lighting equipment are not used by the person who is located.

Subsequently, the daily power consumption estimation unit 13 extracts a period in which the power consumption is not 0 Kwh from the extracted period (step 122). The period extracted here is the period in which electric power is constantly consumed even though there are no people in the building. Therefore, the steady power consumption can be estimated from the power consumption in the period extracted here.

For example, the daily power consumption estimation unit 13 calculates the average value of the power consumption in the period extracted in step 122. Then, this average value is adopted as the steady power consumption (step 123). Since the steady power consumption means the amount of power that is constantly consumed regardless of the day, the steady power consumption is the same for each day.

When the steady power consumption is estimated as described above, the daily power consumption estimation unit 13 calculates the daily excluded power consumption by adding the steady power consumption to the daily OA equipment power consumption. Then, the daily power consumption estimation unit 13 calculates the daily excluded power consumption from the daily power consumption obtained by totaling the daily unit time power consumption included in the power information. The daily power consumption is calculated by subtracting.

According to this embodiment, the calculation accuracy of the air conditioning index and the lighting index is improved by subtracting the steady power consumption in addition to the daily OA equipment power consumption from the daily power consumption obtained from the power information. Can be made to.

As described above, in the present embodiment, a period in which the number of residents is 0 is extracted (step 121), and a period in which the power consumption is not 0 Kwh is further extracted from the extracted period (step 122). ), The average of the power consumption is taken as the steady power consumption (step 123). However, the calculation of the steady power consumption is not limited to the method described above. For example, since the amount of power consumed constantly is obtained, the amount of power consumption is not originally 0 Kwh. If it is 0 Kwh, it is considered that the power consumption in the unit time measured as 0 Kwh is reflected in the subsequent time, that is, the power consumption in the subsequent time increases by being added. For example, when the power consumption is measured in units of 1 Kwh according to the specifications of the measuring device, and the actual power consumption in a certain period is 0.9 Kwh, the recorded power consumption is 0 Kwh. When the actual power consumption in the next period is 1.1Kwh, the recorded power consumption in the period should be 1Kwh, but the power consumption in the immediately preceding period (0.9Kwh) is reflected as 2Kwh. Become. Considering such a case, the average of the power consumption may be obtained and used as the steady power consumption without extracting the period in which the power consumption is not 0 Kwh.

Embodiment 4.
In the first embodiment, based on the idea that the power consumption of OA equipment varies depending on the number of people in the area, the value obtained by multiplying the number of people in each unit time by the coefficient of the OA equipment is summed up daily. The power consumption of OA equipment is calculated. The OA equipment coefficient is a coefficient assuming the amount of power consumed by the OA equipment per person, but the same value is used regardless of the type of person who is located.

By the way, not only the residents engaged in the building but also the visitors who visit the building (hereinafter referred to as "non-residents") enter and leave the building. In this case, since the frequency of use of the OA equipment installed in the building differs between the resident and the non-resident of the building, the power consumption of the OA equipment is different from that of the resident even if the number of people in the building is the same. It will vary depending on the ratio of residents.

Therefore, in the present embodiment, the OA equipment coefficient is set individually for the resident and the non-resident to improve the calculation accuracy of the daily OA equipment power consumption, and eventually the accuracy of the air conditioning index and the lighting index. It is characterized by improving.

The building equipment evaluation device 10 in the present embodiment may be the same as that in the first embodiment. However, in the present embodiment, since the people located in the building are classified into resident and non-resident, the data structure to be used is slightly different from that of the first embodiment.

FIG. 9 is a diagram showing a data configuration example of building use information in this embodiment. As is clear from comparison with (c) of FIG. 3 used in the first embodiment, the OA equipment coefficient included in the building use information in the present embodiment is set separately for resident and non-resident. Will be done. For residents, the same coefficients as in Embodiment 1 are used. For non-residents, it is considered that the power consumption of OA equipment is low because the frequency of use of OA equipment is low for residents. Therefore, in the present embodiment, a predetermined ratio for residents is set for non-residents. In this embodiment, as shown in FIG. 9, half the value for resident is set for non-resident. Of course, this is just an example, and an appropriate value may be set according to the building application, for example.

FIG. 10 is a diagram showing a data configuration example of the number of people in a place stored in the number of people in a place information storage unit 18 in the present embodiment. As is clear from the comparison with FIG. 4 used in the first embodiment, the number of resident persons included in the resident number information in the present embodiment is counted separately for resident and non-resident. In the entrance / exit management system, building users have a card reader installed at the entrance / exit read the IC cards they carry individually. As a result, the person who enters or leaves the building is identified by the identification information recorded on the IC card, and the resident and the non-resident can be distinguished.

The building evaluation process in the present embodiment may be the same as that in the first embodiment shown in FIG. However, since the resident of the building is treated separately as a resident and a non-resident, the processes in step 103 and step 105 are slightly different.

That is, in step 103, the resident number calculation unit 12 calculates the resident number shown in FIG. 4 by totaling the number of visitors and the number of exits for each unit time, but at this time, it is included in the entry / exit information. It is divided into resident and non-resident according to the identification information of the resident and the non-resident, and is stored in the resident number information storage unit 18. In addition, the number of residents calculation unit 12 has acquired information from the entrance / exit management system in advance for determining the number of visitors and whether the resident is a resident or a non-resident, or is resident. Information for distinguishing between a person and a non-resident is added and information is acquired from the entrance / exit management system.

Further, in step 105, the daily power consumption estimation unit 13 calculates the daily OA equipment power consumption separately for resident and non-resident, that is, for the resident, on that day. The daily OA equipment power consumption of the resident is calculated by the sum of the multiplications of the number of residents in each unit time and the OA equipment coefficient for the resident. On the other hand, for non-residents, the daily OA equipment power consumption of non-residents is calculated by summing the multiplication of the number of non-residents in each unit time and the OA equipment coefficient for non-residents on that day. .. Then, the daily OA equipment power consumption is calculated by adding up the daily OA equipment power consumption of the resident and the daily OA equipment power consumption of the non-resident.

As explained above, the daily OA equipment power consumption is calculated and added up separately for residents and non-residents who use OA equipment differently, so the daily OA equipment power consumption can be accurately calculated. Can be calculated.

Embodiment 5.
In the second embodiment, the maximum value of the daily power consumption is selected from the period in which the air conditioning equipment is used, and the minimum value of the daily power consumption is selected from the period in which the air conditioning equipment is not used.

However, when selecting the maximum daily power consumption, even during the period when the air conditioning equipment is used, for example, on a day other than the business day (or "working day") of the company that uses the building, the building There is a possibility that the maximum amount of electric power will be consumed due to equipment maintenance and construction work. In this way, it is not preferable that the power consumption on a day when normal operation is not performed is selected as the maximum value of the daily power consumption. The same applies when selecting the minimum daily power consumption, and even during the period when the air conditioner is not used, for example, the minimum value is selected according to the power usage status on non-business days of the company using the building. Is not preferable.

Therefore, in the present embodiment, the maximum value and the minimum value of the daily power consumption are further selected from the business days of the company using the building.

The building equipment evaluation device 10 in the present embodiment may be the same as in the first and second embodiments. Further, the building evaluation process may be basically the same as that of the first embodiment shown in FIG. However, the method of selecting the maximum value and the minimum value of the daily power consumption in step 107 is different from that of the first and second embodiments.

Embodiment 6.
The lighting coefficient used when calculating the lighting index is a coefficient determined according to the ratio indicated by the amount of power consumed by the lighting equipment in the amount of power consumed each day, and is predetermined for each building application in the first embodiment. The lighting index was calculated using the lighting coefficient. The present embodiment is characterized in that the lighting coefficient is calculated for each building according to the lighting environment of the building.

The building equipment evaluation device 10 in the present embodiment may be the same as that in the first embodiment. Further, the process of evaluating the building may be the same as that of the first embodiment. However, in the present embodiment, the lighting coefficient used when calculating the lighting index in step 108 is calculated instead of using the value given in the building use information as described above. In this embodiment, the lighting coefficient is calculated by the following formula.

Lighting coefficient = number of lighting fixtures x rated power consumption of lighting fixtures x unit time x f (number of people located per unit time)

Here, the number of lighting fixtures is the (average) number of lighting fixtures used in the building within the unit time. The rated power consumption of the luminaire is the rated power consumption of the luminaire used, and is a known value [W] in terms of management. Since it may differ depending on the model of the lighting equipment, in this case, the lighting coefficient is calculated separately for each model, and the average is calculated to obtain the lighting coefficient in the unit time. In the case of this embodiment, the unit time is one hour. f is a function that takes a value of 0 to 1 depending on the number of people in the unit time. Details will be described with reference to FIG.

In the graph shown in FIG. 11, the horizontal axis is the number of people in the building, and the vertical axis is the output value of the function f. In FIG. 11, the output value of the function f increases in direct proportion as the number of people increases from 0 when the number of people is 0, 0.3 when the number of people is 1, and 1 person, and after reaching n people. Indicates that 1 is a function that outputs each. n is, for example, the probability that the person in a certain building is the person in the room from the ratio of the number of people in each room to the number of people in the whole building in the space where the lighting equipment is installed in the building, for example, the room. Shown, when the expected value of at least one person in each room is E, it is the smallest natural number exceeding E. In other words, the function f outputs 0 because the lighting equipment is not used when the number of people is 0, and outputs 1 because all the lighting equipment is used when the number of people is n. Between 0 and n people, a value between 0 and 1 is output depending on the usage status of the lighting equipment.

The expected value E is calculated by, for example, the formula shown in FIG. However, x is, the room you have not yet admission whereabouts's, E _x is the number of visitors to the building needed to become like being at least one in X (expected value of), the p _x a visitor is This is the probability of entering room X. The existing technology may be used to obtain the expected value E. Further, in the present embodiment, the function f is defined by synthesizing the sigmoid function and the step function, but the function f is not limited to this.

Since the lighting coefficient is calculated for each unit time, the index calculation unit 14 calculates the average value of the lighting coefficient for the calculation target period and one year in the present embodiment, and calculates the lighting index using this as the lighting coefficient. do.

According to this embodiment, since the lighting index is calculated using the lighting coefficient depending on the lighting environment of each building instead of each use of the building, it is possible to improve the calculation accuracy of the lighting index in each building. can.

The contents described in each of the above embodiments may be combined as appropriate.

1 CPU, 2 ROM, 3 RAM, 4 hard disk drive (HDD), 5 network interface (IF), 6 user interface (UI), 7 internal bus, 10 building equipment evaluation device, 11 building information acquisition unit, 12 location calculation Department, 13 Daily power consumption estimation unit, 14 Index calculation unit, 15 Evaluation unit, 16 Display control unit, 17 Building information storage unit, 18 Location information storage unit.

Claims

Building information acquisition means for acquiring information indicating the scale of the building and building information including the power consumption of each day in the predetermined period of the entire building.
The means for acquiring the number of people in the building, including the number of people in the building for each unit time, and the means for acquiring the number of people in the building.
With reference to the number of people in the building, the daily power consumption of equipment other than the equipment to be evaluated in the building is calculated as the daily excluded power consumption, and the daily excluded power consumption is excluded from the daily power consumption. A daily power consumption estimation means that estimates the power consumption consumed by the equipment to be evaluated as a daily power consumption by subtracting the power consumption.
An index calculation means that uses the building information and the daily power consumption to calculate an index indicating the ratio of the power consumption of the equipment to be evaluated to the power consumption of the entire building in the predetermined period. When,
An evaluation means for evaluating the necessity of repairing the equipment to be evaluated by referring to the index value calculated by the index calculation means, and an evaluation means.
A building equipment evaluation device characterized by having.
When there are a plurality of the buildings, the index calculation means calculates the index for each building.
The evaluation means prioritizes the evaluation results of each of the plurality of buildings based on the index of each building.
The building equipment evaluation device according to claim 1.
The daily power consumption estimation means calculates the daily excluded power consumption by multiplying the number of people located in the building for each unit time by the OA equipment coefficient indicating the power consumption by the OA equipment per person. The building equipment evaluation device according to claim 2, wherein the building equipment evaluation device is characterized by the above.
The daily power consumption estimation means is the sum of the power consumptions calculated separately for the resident and the non-resident of the building using the OA equipment coefficient set for each of the resident and the non-resident. The building equipment evaluation device according to claim 3, wherein the daily excluded power consumption is calculated.
The daily power consumption estimation means subtracts the power consumption consumed even when there are no people in the building as the steady power consumption from the power consumption of each day included in the predetermined period of the entire building. The building equipment evaluation device according to claim 3, wherein the daily power consumption is estimated.
When the equipment to be evaluated is an air conditioner, the index calculation means calculates a value obtained by subtracting the minimum value of the daily power consumption from the maximum value selected from the daily power consumption of the building. The building equipment evaluation device according to claim 1, wherein the index related to the air conditioner is calculated by dividing by information indicating the scale.
The building equipment evaluation device according to claim 6, wherein the index calculation means selects the maximum value of the daily power consumption from the period during which the air conditioner is used.
The building equipment evaluation device according to claim 6, wherein the index calculation means selects the minimum value of the daily power consumption from the period during which the air conditioner is not used.
The building equipment evaluation according to claim 7 or 8, wherein the index calculation means selects the maximum value or the minimum value of the daily power consumption from the business days of the company using the building. Device.
In the index calculation means, when the equipment to be evaluated is lighting equipment, the ratio of the power consumption by the lighting equipment to the minimum value selected from the daily power consumption is the ratio of the power consumption of each day. The building equipment evaluation device according to claim 1, wherein the index related to the lighting equipment is calculated by dividing the value obtained by multiplying the lighting coefficient determined by the above by the information indicating the scale of the building.
The building equipment evaluation device according to claim 10, wherein the index calculation means calculates the lighting coefficient with reference to the number of people in the building per unit time.
Computer,
Building information acquisition means for acquiring information indicating the scale of a building and building information including the power consumption of each day in a predetermined period of the entire building.
A means for acquiring the number of people in the building, including the number of people in the building for each unit time.
With reference to the number of people in the building, the daily power consumption of equipment other than the equipment to be evaluated in the building is calculated as the daily excluded power consumption, and the daily excluded power consumption is excluded from the daily power consumption. A daily power consumption estimation means that estimates the power consumption consumed by the equipment to be evaluated as the daily power consumption by subtracting the power consumption.
An index calculation means that uses the building information and the daily power consumption to calculate an index indicating the ratio of the power consumption of the equipment to be evaluated to the power consumption of the entire building in the predetermined period. ,
An evaluation means for evaluating the necessity of repairing the equipment to be evaluated by referring to the index value calculated by the index calculation means.
A program to function as.