Energy management system and energy management method

Abstract

To properly evaluate a use state of energy in a building, in accordance with the state of a number of persons and activity situations of the persons in each area of the building.SOLUTION: In a building energy management system 1, a consumption energy feature amount calculation section 30 calculates: a first consumption energy feature amount which represents a component changing according to a number of staying persons, out of a consumption energy amount of an evaluation object area, on the basis of the number of staying persons and the consumption energy amount in the evaluation object area; and a second consumption energy feature amount representing a component which is independent of the number of staying persons, out of the consumption energy amount. An energy use state evaluation section 50 evaluates an energy use state of the evaluation object area, on the basis of the first consumption energy feature amount and the second consumption energy feature amount calculated by the consumption energy feature amount calculation section 30, and an evaluation reference value.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present invention relates to a system and method for providing energy management for a building. [Background technology]

[0002] In order to achieve carbon neutrality, Building Energy Management Systems (BEMS) have been proposed that aim to reduce the amount of CO2 emitted from buildings by making building facilities more energy efficient while also taking into consideration the comfort of building users.

[0003] In recent years, the way offices are used has changed from the traditional approach of employees coming into the office to one that combines working in the office with remote work (working from home).

[0004] Along with these changes in office usage, office buildings in recent years have increasingly adopted free address and ABW (Activity Based Working) office floors, where employees can work using the seats they choose freely in the office. Furthermore, even for these free address and ABW office floors, there is a strong demand for energy-saving building facilities such as lighting and air conditioning, from the perspective of reducing CO2 emissions and emphasizing environmental performance.

[0005] With regard to the above, Patent Document 1 discloses a technology that, from the perspective of diagnosing building equipment, diagnoses the amount of power consumption per person among groups of equipment in buildings of similar size, and if the amount of power consumption per person is higher than that of similar groups of equipment in buildings, implements power saving measures based on the searched cases. [Prior art documents] [Patent documents]

[0006] [Patent Document 1] JP 2006-143359 A Summary of the Invention [Problem to be solved by the invention]

[0007] In the conventional technology described in Patent Document 1, the amount of power consumption per person is set by dividing the building power consumption by the estimated number of people staying in the building. Therefore, when there is waste in power consumption, it is not possible to evaluate whether the waste is due to the way the users use the equipment or the operation of the equipment itself. [Means for solving the problem]

[0008] The energy management system according to the present invention is an energy management system that performs energy management for a building, and includes an area number of people acquisition unit that acquires the number of people in an evaluation target area of ​​the building, an energy consumption amount acquisition unit that acquires the amount of energy consumed in the evaluation target area, an energy consumption amount classification unit that classifies the amount of energy consumed in the evaluation target area based on the number of people in the evaluation target area into a first energy consumption feature that represents a component correlated with the number of people and a second energy consumption feature that has a weaker correlation with the number of people than the first energy consumption feature, and an evaluation index output unit that outputs an evaluation index for the energy usage state of the evaluation target area based on at least one of the first energy consumption feature and the second energy consumption feature. An energy management method according to the present invention is a method for managing energy in a building, which obtains the number of people in an evaluation area of ​​the building, obtains the amount of energy consumed in the evaluation area, and based on the number of people in the evaluation area, divides the amount of energy consumed in the evaluation area into a first energy consumption feature representing a component correlated with the number of people, and a second energy consumption feature having a weaker correlation with the number of people than the first energy consumption feature. Effect of the Invention

[0009] According to the present invention, it is possible to appropriately evaluate the energy usage status within a building according to the number of people and activity status in each area of ​​the building. [Brief description of the drawings]

[0010] [Figure 1] 1 is a functional block diagram of an entire building system including a building energy management system according to an embodiment of the present invention. [Diagram 2] FIG. 1 is a diagram showing an example of a building system configuration including a building energy management system according to an embodiment of the present invention. [Diagram 3] 1 is a flowchart showing the overall processing flow of a building energy management system according to an embodiment of the present invention. [Figure 4] FIG. 4 is a diagram showing an example of a functional block diagram of an energy consumption feature amount calculation unit. [Diagram 5] FIG. 13 is a diagram showing an example of a relational expression between the number of people staying and the amount of energy consumed calculated by the energy consumption feature amount calculation unit, and an evaluation index calculated based on this. [Figure 6] FIG. 4 is a diagram showing an example of an evaluation index calculated by a consumed energy feature amount calculation unit. [Figure 7] 11 is a diagram showing an example of a correction process of an evaluation reference value performed by a consumption energy feature amount calculation unit. FIG. [Figure 8] FIG. 4 is a diagram showing an example of a functional block diagram of an evaluation reference value calculation unit. [Figure 9] FIG. 13 is a diagram showing an example of a flowchart illustrating the flow of a calculation process of an evaluation reference value. [Figure 10] FIG. 11 is a diagram showing an example of an evaluation reference value. [Figure 11] FIG. 11 is a diagram showing an example of information relating to an evaluation result of an energy usage state. [Figure 12] FIG. 13 is a diagram showing another example of the information relating to the evaluation result of the energy usage state. [Figure 13] FIG. 11 is a diagram showing yet another example of the information regarding the evaluation result of the energy usage state. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0011] First, the main points of one embodiment of a building energy management system according to the present invention will be described below.

[0012] Therefore, the main objective of this invention is to evaluate the energy usage status within a building according to the number of people and their activity status in each area set within the building, in order to implement appropriate equipment and energy usage measures according to the building's usage status.

[0013] In order to achieve the above objective, in one embodiment of a building energy management system according to the present invention, based on the correlation between the number of people (hereinafter abbreviated as number of people) in each evaluation area within the building and energy usage, energy usage is decomposed into components related to the number of people and components unrelated to the number of people.

[0014] Energy usage in each evaluation area is determined according to the activity of people in that area, so there is a correlation with the number of people staying there. For this reason, by using the energy usage per unit person as an evaluation index for the components of energy usage related to the number of people staying there, it is possible to evaluate appropriate energy usage even with changes in the number of people. In addition, by using a separate evaluation index for the components of energy usage that are not related to the remaining number of people (have a weak correlation with the number of people staying there), it is possible to similarly evaluate appropriate energy usage. In one embodiment of the energy management system according to the present invention, a method for evaluating energy usage for a building / floor is defined according to the above concept.

[0015] Evaluation using the above evaluation indexes makes it possible to implement improvement measures that maintain the comfort of users while adjusting the amount of energy used to an appropriate level relative to the number of people present. For example, lighting and air conditioning can be turned off in unnecessary locations where no one is present, and the operating output and operating rate (operating time) of lighting and air conditioning in locations where people are present can be reduced. Furthermore, methods can be adopted such as providing information to encourage users to gather in designated locations, thereby increasing the efficiency of lighting and air conditioning. In this way, energy management of buildings can be achieved that takes into account the right balance between energy conservation and comfort.

[0016] The above is the gist of one embodiment of a building energy management system according to the present invention. The details of the present invention will be described below with reference to the drawings.

[0017] Fig. 1 is a functional block diagram of an entire building system including a building energy management system according to one embodiment of the present invention. The building system shown in Fig. 1 includes a building energy management system 1, an elevator control device 2, a building equipment group 3, a building equipment management device group 4, an equipment energy management device 5, a building management information output device 6, and a floor equipment control device 7.

[0018] The building energy management system 1 is a system that manages the energy of a building by evaluating the energy usage status of one or more arbitrary floors in a building as evaluation target areas, providing information to the manager and controlling the building equipment based on the evaluation results.

[0019] The building energy management system 1 can evaluate and manage energy usage not only on a building floor basis, but also on an area basis by dividing a floor into several areas, or on a block basis by grouping several floors together. In other words, the building energy management system 1 can arbitrarily set the evaluation target, such as a building floor unit, area unit, or block unit. In the following description, these evaluation targets are collectively referred to as the "evaluation target area."

[0020] The elevator control device 2 is a device that controls elevator operation, such as an elevator control panel or group control panel, and collects data on the number of people getting on and off at each floor by elevator, and outputs it to the building energy management system 1.

[0021] Building equipment group 3 represents various floor equipment (air conditioning equipment, lighting equipment, various office automation equipment, power outlets, etc.) that are installed in each area of ​​the building and consume energy, as well as human sensors and entrance / exit devices that are installed in each area to measure the number of people staying in the area and the number of people entering and leaving the area.

[0022] The building equipment management device group 4 represents various management devices that manage the building equipment group 3. The building equipment management device group 4 is configured to include, for example, a people sensor management device 4A, an entrance / exit management device 4B, an air conditioning management device 4C, a lighting management device 4D, and an OA equipment management device 4E, corresponding to each device that constitutes the building equipment group 3. Note that, depending on the type of equipment that constitutes the building equipment group 3, other management devices may also be included in the building equipment management device group 4.

[0023] The people sensor management device 4A is a device that manages the people sensors that measure the number of people in each area. The measurement data of visitors output from the people sensors is input to the people sensor management device 4A and transmitted from the people sensor management device 4A to the building energy management system 1.

[0024] The entrance / exit control device 4B is a device that manages the entrance / exit devices that record the entry and exit of people in each area. The person entry and exit data recorded in the entrance / exit devices is input to the entrance / exit control device 4B and transmitted from the entrance / exit control device 4B to the building energy management system 1.

[0025] The air conditioning management device 4C is a device that manages the operation of the air conditioning equipment in each area. Data on the operation state of the air conditioning equipment by the air conditioning management device 4C is transmitted from the air conditioning management device 4C to the equipment energy management device 5.

[0026] The lighting management device 4D is a device that manages the operation of the lighting equipment in each area. Data on the operation state of the lighting equipment by the lighting management device 4D is transmitted from the lighting management device 4D to the equipment energy management device 5.

[0027] The OA equipment management device 4E is a device that manages the operation of the OA equipment and outlet devices in each area. Data related to the operation status of the OA equipment and outlet devices by the OA equipment management device 4E is transmitted from the OA equipment management device 4E to the facility energy management device 5.

[0028] The equipment energy management device 5 collects data on the energy usage status, such as the amount of power and heat, of each floor equipment based on data on the operation status of each floor equipment input from each management device, the air conditioning management device 4C, the lighting management device 4D, and the OA equipment management device 4E. The data on the energy usage status of each floor equipment collected by the equipment energy management device 5 is transmitted from the equipment energy management device 5 to the building energy management system 1.

[0029] The building management information output device 6 outputs the evaluation results of the energy usage status of each evaluation target area by the building energy management system 1 to the building manager. The building manager can decide on the implementation of various improvement measures by referring to the evaluation results of the energy usage status output by the building management information output device 6. Note that the building management information output device 6 may also output the evaluation results of the energy usage status to other stakeholders related to building management, such as the building owner or tenant manager.

[0030] The floor equipment controller 7 controls the operation state of the floor equipment installed in each evaluation target area based on the evaluation result of the energy usage state of each evaluation target area by the building energy management system 1. For example, if there is clearly waste in energy usage in a certain evaluation target area, such as a large amount of energy usage when no one is present, the floor equipment controller 7 controls the air conditioning equipment and lighting equipment to be automatically turned off. This makes it possible to automatically improve the energy usage state without the intervention of the building manager.

[0031] Next, a detailed description will be given of the building energy management system 1. The building energy management system 1 includes functional blocks of an area number of people acquisition unit 10, an energy consumption amount acquisition unit 20, an energy consumption feature calculation unit 30, an evaluation reference value calculation unit 40, an energy usage state evaluation unit 50, a cause extraction unit 60, an improvement measure selection unit 70, and an evaluation result output unit 80. The building energy management system 1 also includes databases, an evaluation index database 91 and an improvement measure database 92.

[0032] In the building energy management system 1, the functional blocks of the area number of people acquisition unit 10, the energy consumption amount acquisition unit 20, the energy consumption feature calculation unit 30, the evaluation reference value calculation unit 40, the energy usage state evaluation unit 50, the factor extraction unit 60, the improvement measure selection unit 70, and the evaluation result output unit 80 are realized, for example, by a computer executing a predetermined program, and the evaluation index database 91 and the improvement measure database 92 are realized using a storage device such as an HDD (Hard Disk Drive) or an SSD (Solid State Drive). Note that some or all of these functional blocks may be realized using a GPU (Graphics Processing Unit) or an FPGA (Field Programmable Gate Array).

[0033] The area number of people acquisition unit 10 calculates the number of people staying in the area to be evaluated based on the data of the number of people getting on and off the elevator on each floor input from the elevator control device 2, the measurement data of people staying in each area input from the number of people sensor management device 4A, and the data of people entering and leaving each area input from the entrance and exit management device 4B. Details will be described later.

[0034] The energy consumption amount acquisition unit 20 acquires the amount of energy consumption in the evaluation target area based on data on the energy usage state of each piece of floor equipment input from the equipment energy management device 5. Specifically, for example, it converts the units of the amount of energy consumption of each piece of floor equipment installed in the evaluation target area to be standardized to "Wh (watt-hours)" or "J (joules)". It also converts the amount of energy consumption of each piece of floor equipment in the evaluation target area into a value per unit area (for example, "Wh / m 2 In this case, the amount of energy consumed in each of a plurality of evaluation target areas having different areas can be evaluated based on the same standard.

[0035] The consumed energy feature calculation unit 30 calculates consumed energy feature values ​​that represent the features of the consumed energy amount in the evaluation target area based on the number of people staying in the evaluation target area calculated by the area number of people acquisition unit 10 and the amount of consumed energy in the evaluation target area acquired by the consumed energy amount acquisition unit 20. Then, based on these calculated consumed energy feature values, an evaluation index for the energy usage state of the evaluation target area is determined. The value of the evaluation index calculated by the consumed energy feature calculation unit 30 is recorded in the evaluation index database 91. The method of calculating the consumed energy feature values ​​and the method of determining the evaluation index by the consumed energy feature calculation unit 30 will be described in detail later.

[0036] The evaluation reference value calculation unit 40 calculates an evaluation reference value for the energy usage state of the evaluation target area. The method of calculating the evaluation reference value by the evaluation reference value calculation unit 40 will be described in detail later.

[0037] The energy usage state evaluation unit 50 evaluates the energy usage state of the evaluation target area based on the evaluation index determined by the consumed energy feature calculation unit 30 and the evaluation reference value calculated by the evaluation reference value calculation unit 40. For example, if the evaluation index calculated every hour based on the consumed energy feature exceeds the evaluation reference value by a predetermined value or more for the time slot of 9:00-10:00 in the morning when there are few people, it can be evaluated that the energy usage amount in that time slot is excessive relative to the number of people staying in the evaluation target area and there is room for improvement. Note that the above is one example of a method for evaluating the energy usage state of the evaluation target area, and any other method can be used to evaluate the energy usage state of the evaluation target area.

[0038] The factor extraction unit 60 extracts the factor when the evaluation of the energy usage state of the evaluation target area by the energy usage state evaluation unit 50 is lowered (worsened). For example, when the evaluation index is evaluated to exceed the evaluation reference value by a predetermined value or more during a time period when there are few people as described above, the power consumption of the lighting equipment is relatively large because the lighting equipment is used throughout the evaluation target area despite the small number of people staying there. In such a case, the wasteful use of the lighting equipment is considered to be the factor of the lowered evaluation of the energy usage state of the evaluation target area, and the factor extraction unit 60 extracts the factor. In addition, when the evaluation of the energy usage state of the evaluation target area is lowered, the factor extraction unit 60 can extract the factor based on the time period, the number of people staying there, and the data of the energy usage state of each floor equipment such as air conditioning and lighting.

[0039] The improvement measure selection unit 70 selects an improvement measure for improving the energy usage state of the evaluation target area from various improvement measures recorded in the improvement measure database 92 based on the factors extracted by the factor extraction unit 60. For example, the improvement measure database 92 records various combinations of factors and improvement measures linked to each other, and the improvement measure selection unit 70 can select an appropriate improvement measure by identifying a combination that corresponds to the factor extracted by the factor extraction unit 60. At this time, it is preferable to select an improvement measure that takes into consideration not only the viewpoint of energy saving but also the comfort of users. For example, the improvement measure selection unit 70 can select an improvement measure such as encouraging turning off lights in areas where no one is present during bright daytime hours.

[0040] The evaluation result output unit 80 outputs the evaluation results of the energy usage state of the evaluation target area by the energy usage state evaluation unit 50, the factors of the decline in the evaluation results selected by the factor extraction unit 60, and the improvement measures selected by the improvement measure selection unit 70 to the building management information output device 6 and the floor equipment control device 7. The building management information output device 6 outputs the information output from the evaluation result output unit 80 to the building manager via a display device such as a liquid crystal display. The floor equipment control device 7 controls the operating state of various floor equipment based on the information output from the evaluation result output unit 80. As a result, if there is waste in the energy usage state of the evaluation target area, the waste is reduced to achieve energy conservation.

[0041] In addition, the building energy management system 1 may be configured to set the output destination of the information output by the evaluation result output unit 80. In this case, the evaluation result output unit 80 includes an output destination setting unit (not shown) that sets the output destination. Alternatively, the evaluation result output unit 80 outputs the evaluation result of the energy usage state of the evaluation target area to a preset publication destination, for example, a publication destination specified by a predetermined URL (Uniform Resource Locator). In this way, it is possible to widely inform various stakeholders of the evaluation result of the energy usage state.

[0042] FIG. 2 is a diagram showing an example of a building system configuration including a building energy management system according to an embodiment of the present invention.

[0043] The building energy management system 1, elevator control device 2, people sensor management device 4A, entrance / exit management device 4B, equipment energy management device 5, building management information output device 6, and floor equipment control device 7 are each connected to a common information network 11 provided in the building. Various information and data are exchanged between these devices via the information network 11. In addition, the equipment energy management device 5 and floor equipment control device 7 are connected to an air conditioning management device 4C, a lighting management device 4D, and an OA equipment management device 4E via an information network 12.

[0044] Each of the management devices, the people sensor management device 4A, the entrance / exit management device 4B, the air conditioning management device 4C, the lighting management device 4D, and the office equipment management device 4E, is connected to the building equipment group 3 (floor people sensors 3A, entrance / exit devices 3B, air conditioning devices 3C, lighting devices 3D, and office equipment 3E) installed in each area of ​​the building, and manages and controls these devices. Each management device may be provided commonly to multiple areas, or may be provided for each area.

[0045] With this configuration, a building system including the building energy management system 1 of this embodiment can carry out an appropriate evaluation of energy usage conditions in accordance with the situation in the area being evaluated, based on data such as the usage status of facilities and equipment, the number of users, and the number of people moving between areas collected from each area.

[0046] Fig. 3 is a flowchart showing the overall processing flow of a building energy management system according to one embodiment of the present invention. In the building energy management system 1, the processing shown in the flowchart in Fig. 3 is executed for each evaluation target area of ​​the building. The processing in the flowchart in Fig. 3 will be described below in order.

[0047] First, the area number of people acquisition unit 10 of the building energy management system 1 calculates the number of people staying in the evaluation target area (step ST1). Here, the number of people staying in the evaluation target area may be calculated using any one of the data from each device of the elevator control device 2, the number of people sensor management device 4A, and the entrance and exit management device 4B, or the number of people staying in the evaluation target area may be calculated by combining multiple types of data. For example, from the elevator getting on and off elevator number data for each floor collected by the elevator control device 2, the difference value between the number of people getting off the elevator in the evaluation target area (the number of people entering the evaluation target area) and the number of people getting on the elevator from the evaluation target area (the number of people leaving the evaluation target area) is calculated, and this difference value is tallied for each predetermined time, so that the number of people staying in the evaluation target area can be calculated for each predetermined time.

[0048] Next, the energy consumption acquisition unit 20 of the building energy management system 1 collects data on the amount of energy consumed by each piece of equipment in the area to be evaluated and converts the energy unit (step ST2). Here, the data on the amount of energy consumed in the area to be evaluated can be collected as time-series data for each piece of equipment on each floor including the area to be evaluated. At this time, as described above, the units of the amount of energy consumed are unified between pieces of equipment as necessary. Furthermore, the amount of energy consumed may be converted to a value per floor area.

[0049] Next, the energy consumption feature amount calculation unit 30 of the building energy management system 1 calculates a function expressing the relationship between the number of people staying in the evaluation target area and the amount of energy consumed based on the number of people staying in the evaluation target area calculated in step ST1 and the amount of energy consumed acquired in step ST2 (step ST3). Here, the function focuses on the correlation between the number of people staying in the evaluation target area and the amount of energy consumed in a predetermined period (e.g., one day), and calculates, for example, a regression equation (such as a linear regression equation) as an equation expressing this relationship.

[0050] Next, the energy consumption feature calculation unit 30 of the building energy management system 1 decomposes the amount of energy consumption acquired in step ST2 into a component that changes depending on the number of people staying (hereinafter referred to as the "first energy consumption feature") and a component that does not depend on the number of people staying (hereinafter referred to as the "second energy consumption feature") based on the function calculated in step ST3 (step ST4). Here, the second energy consumption feature does not need to be an amount that is completely independent of the number of people staying, and it is sufficient if it has a weaker correlation with the number of people staying than the first energy consumption feature. Here, the time series data of the first energy consumption feature is calculated by extracting the component of the term related to the number of people staying in the relational expression (regression equation) calculated in step ST3 from the amount of energy consumption acquired in step ST2 for each time when the number of people staying is one or more. This first energy consumption feature represents the characteristics of the amount of energy consumption that increases or decreases depending on the number of people who are active in the evaluation target area, and corresponds to, for example, the amount of power used for air conditioning, lighting, etc. during the period when the number of people staying is one or more. In addition, the amount of consumed energy acquired in step ST2 for each time when the number of people staying is zero is acquired as time-series data of the second consumed energy feature. This second consumed energy feature represents the feature of the amount of consumed energy that occurs fixedly regardless of the presence or absence of human activity in the evaluation target area, and corresponds to, for example, the amount of power used by server equipment operating 24 hours a day or standby power during the period when the number of people staying is zero.

[0051] Next, the energy consumption feature value calculation unit 30 of the building energy management system 1 calculates the unit energy consumption amount representing the energy consumption amount per person staying in the evaluation target area based on the number of people staying calculated in step ST1 and the first energy consumption feature value calculated in step ST4 (step ST5). Here, time series data representing the unit energy consumption amount can be calculated by dividing the first energy consumption feature value at each time when the number of people staying is one or more by the number of people staying at that time. The unit energy consumption amount is expressed as the power consumption amount per person (unit: kWh / person), for example.

[0052] Next, the energy consumption feature calculation unit 30 of the building energy management system 1 calculates a fixed energy consumption amount, which represents the amount of energy consumption that occurs fixedly in the amount of energy consumed in the evaluation target area regardless of the presence or absence of people staying there, based on the second energy consumption feature amount calculated in step ST4 (step ST6). Here, the second energy consumption feature amount at each time when the number of people staying there is 0 or more is set as the fixed energy consumption amount.

[0053] Next, the evaluation reference value calculation unit 40 of the building energy management system 1 calculates an evaluation reference value for the energy usage state of the evaluation target area (step ST7). Here, the unit energy consumption amount calculated in step ST5 and the fixed energy consumption amount calculated in step ST6 are used as evaluation indexes for evaluating the energy usage state of the evaluation target area, and evaluation reference values ​​for these evaluation indexes are calculated (hereinafter, the evaluation reference value for the unit energy consumption amount is referred to as the "first evaluation reference value," and the evaluation reference value for the fixed energy consumption amount is referred to as the "second evaluation reference value").

[0054] Next, the energy usage status evaluation unit 50 of the building energy management system 1 evaluates the energy usage status of the evaluation target area by comparing the evaluation indexes (unit energy consumption amount, fixed energy consumption amount) calculated in steps ST5 and ST6, respectively, with the evaluation reference values ​​(first evaluation reference value, second evaluation reference value) calculated in step ST7 (step ST8). This evaluation corresponds to an evaluation of whether there is room for energy saving in the evaluation target area, and whether there is any energy usage status that is considered to be wasteful.

[0055] Next, the energy usage state evaluation unit 50 of the building energy management system 1 determines whether there is a time when the evaluation index is greater than the evaluation reference value in the evaluation result of step ST8 (step ST9). If there is a time when the evaluation index is greater than the evaluation reference value (step ST9: Yes), the process proceeds to step ST10, and if not (step ST9: No), the process proceeds to step ST12.

[0056] When the process proceeds to step ST10, the factor extraction unit 60 of the building energy management system 1 extracts the factor that caused the evaluation index to exceed the reference value (step ST10). Here, for example, the time when the evaluation index exceeded the reference value or the name of the equipment is extracted as the factor.

[0057] Next, the improvement measure selection unit 70 of the building energy management system 1 selects an improvement measure based on the factor extracted in step ST10 (step ST11). As described above, for example, an improvement measure corresponding to the extracted factor is identified from the improvement measure database 93, and an improvement measure for energy saving is selected.

[0058] Finally, the evaluation result output unit 80 of the building energy management system 1 outputs the evaluation result of the energy usage state of the evaluation target area performed in step ST8 to the building management information output device 6 and the floor equipment control device 7 (step ST12). At this time, if steps ST10 and ST11 have been performed, it is preferable to output the factors extracted in step ST10 and the improvement measures selected in step ST11 together with the evaluation result.

[0059] After outputting the evaluation result in step ST12, the building energy management system 1 ends the process shown in the flowchart of FIG.

[0060] The evaluation result output unit 80 may execute the process of step ST12 only when it is determined in step ST9 that there is a time when the evaluation index is greater than the evaluation reference value. In this case, if the determination result of step ST9 is Yes, the processes of steps ST10, ST11, and ST12 are executed, and information corresponding to these process results is output by the evaluation result output unit 80. Also, a predetermined value M (M is 0 or more) may be set as a determination margin in the determination condition of step ST9, and the determination result of step ST9 may be set as Yes when the evaluation index is greater than the evaluation reference value + M. On the other hand, if the determination result of step ST9 is No, the process shown in the flowchart of FIG. 5 is terminated without executing steps ST10 to ST12. In this way, only when there is a state of energy usage that is considered to be wasteful in the evaluation target area, a notification is given to the manager of the building or the evaluation target area, so that the manager can be made strongly aware of the need for improvement.

[0061] Next, details of the process executed by the consumed energy feature calculation unit 30 in the building energy management system 1 of this embodiment will be described below with reference to Fig. 4. Fig. 4 is a diagram showing an example of a functional block diagram of the consumed energy feature calculation unit 30. As shown in Fig. 4, the consumed energy feature calculation unit 30 includes, for example, a consumed energy amount classification unit 31, a unit consumed energy amount calculation unit 32, a fixed consumed energy amount calculation unit 33, an evaluation index correction processing unit 34, and an evaluation index output unit 35.

[0062] The energy consumption feature calculation unit 30 receives, as input data, the number of people data 15 for each area and each time from the area number of people acquisition unit 10, and the energy usage data 21 for each area, each time, and each facility from the energy consumption acquisition unit 20. Here, the number of people data 15 represents the number of people data for each area for each building, floor, date, time, and time in a table format, for example, as shown in Fig. 4. Similarly, the energy usage data 21 also represents the energy usage data for each area for each building, floor, date, time, and time in a table format, for example, as shown in Fig. 4. Furthermore, the energy usage data 21 is composed of data on the energy usage of each facility, such as air conditioning, lighting, and office equipment, and the total value thereof.

[0063] The energy consumption classification unit 31 combines the number of people data 15 and the energy consumption data 21 input to the energy consumption feature calculation unit 30 to obtain a first energy consumption feature of the evaluation target area and a second energy consumption feature of the evaluation target area, respectively, to calculate a relational expression between the number of people staying and the amount of energy consumed. Specifically, first, the number of people P staying in the evaluation target area at each time during a predetermined period (for example, one day) is extracted from the number of people data 15, and the energy consumption E of the evaluation target area at each time during the predetermined period is extracted from the energy consumption data 21. Then, the relationship between the number of people staying P and the energy consumption E at each time is plotted on a two-dimensional plane to create a scatter diagram as shown by reference numeral 311 in FIG. 4, for example. In this scatter diagram 311, the number of people staying P is set on the horizontal axis, and the energy consumption E is set on the vertical axis. In addition, if multiple types of equipment, such as air conditioning equipment, lighting equipment, and office equipment, are installed in the area to be evaluated, it is preferable to create a scatter diagram for each of these pieces of equipment in addition to the scatter diagram for the entire area to be evaluated.

[0064] When the area to be evaluated is a general office floor, energy usage is based on people's activity, so there is a correlation (proportional relationship) between the number of people in the area to be evaluated (the number of users in the area) and energy usage, as shown in scatter diagram 311 in Figure 4. Here, each plot point in scatter diagram 311 indicates a combination of the number of people in the area to be evaluated and the amount of energy usage for each hour. In addition, the energy usage E on the vertical axis indicates the total amount of energy usage in the area to be evaluated, the energy usage by equipment, etc. This makes it possible to evaluate in detail from various perspectives the state of energy usage in the entire area to be evaluated, the state of energy usage in each piece of equipment such as air conditioning and lighting, etc.

[0065] After creating the scatter diagram 311 as described above, the energy consumption classification unit 31 then obtains a regression equation corresponding to each plot point of the scatter diagram 311. Here, for example, a least squares method or the like is applied to each plot point to obtain a linear regression equation represented by a straight line 312. This linear regression equation is expressed by the following equation (1). E = K P + E0 (1)

[0066] In formula (1), E represents the energy consumption, P represents the number of people staying in the evaluation target area, K represents the regression coefficient (slope of line 312) calculated by regression analysis, and E0 represents the constant term (vertical axis intercept of line 312) calculated by regression analysis.

[0067] Generally, the amount of energy used on an office floor varies depending on the office activities of the people using that floor. Therefore, there is a high correlation between energy usage E and the number of people P, and a relational equation like the one shown in formula (1) can be calculated. From formula (1), the energy usage in the evaluation target area can be decomposed into components that depend on the number of people and components that do not.

[0068] Of the above two components, the former corresponds to the amount of energy consumed related to the activities of users in the evaluation area, i.e., the first energy consumption feature described above, and the latter corresponds to the amount of energy consumed not related to the activities of users, i.e., the second energy consumption feature described above. Therefore, by dividing the energy consumption in the evaluation area into these components and evaluating the energy consumption state individually, it is possible to evaluate an appropriate energy consumption state suited to the situation in the evaluation area.

[0069] The unit energy consumption calculation unit 32 calculates the unit energy consumption of the evaluation target area at each time based on the relational expression (1) calculated by the energy consumption classification unit 31. Specifically, using the constant term E0 obtained in expression (1), the unit energy consumption Ep(t) for the energy usage E(t) at time t is calculated by the following expression (2). Ep(t)=(E(t)-E0) / P(t) ···(2)

[0070] In formula (2), t represents each time during the period when the number of people in the evaluation area is 1 or more, Ep(t) represents the unit energy consumption in the evaluation area at time t, E(t) represents the energy usage in the evaluation area at time t, and P(t) represents the number of people in the evaluation area at time t. Additionally, E0 represents the constant term in formula (1) (the vertical axis intercept of the regression equation).

[0071] In equation (2), the unit energy consumption Ep(t), which corresponds to the energy consumption per person in the evaluation area, is calculated using the time series data E(t) for the energy consumption in the evaluation area and the number of people P(t), using the constant term E0, which corresponds to the component that does not depend on the number of people.

[0072] In the building energy management system 1 of this embodiment, the energy usage state of the evaluation target area is evaluated using the energy usage normalized by the number of people in the evaluation target area as an evaluation index. This makes it possible to quantitatively evaluate, based on the time series data Ep(t) of unit energy consumption, whether the energy usage state is appropriate for the number of people staying in the evaluation target area at each time.

[0073] The fixed energy consumption calculation unit 33 calculates the fixed energy consumption of the evaluation target area at each time. Specifically, the fixed energy consumption calculation unit 33 calculates the amount of energy consumption E0(t) for the amount of energy used E(t) at time t by the following formula (3). E0(t) = E(t) (3)

[0074] In equation (3), t represents each time during the period when the number of people in the evaluation area is 0, E0(t) represents the fixed energy consumption in the evaluation area at time t, and E(t) represents the energy usage in the evaluation area at time t.

[0075] In formula (3), the fixed energy consumption E0(t), which corresponds to the energy consumption that does not depend on the number of people staying in the evaluation area, is calculated using the energy consumption E(t) in the evaluation area, which is time series data. In other words, the energy consumption E(t) when there are no people staying in the evaluation area is set as the fixed energy consumption E0(t).

[0076] In the building energy management system 1 of this embodiment, the energy usage state of the evaluation target area is evaluated using the energy usage amount when no one is present as an evaluation index. This makes it possible to quantitatively evaluate the energy usage state at each time when the evaluation target area is unoccupied from the time series data E0(t) of the fixed energy consumption amount.

[0077] Here, the unit energy consumption amount Ep(t) in formula (2) is used as an evaluation index for the component of the energy usage state of the evaluation target area that depends on the number of people staying there. Meanwhile, the fixed energy consumption amount E0(t) in formula (3) is used as an evaluation index for the component of the energy usage state of the evaluation target area that does not depend on the number of people staying there. In the building energy management system 1 of this embodiment, these two types of evaluation indexes are used to evaluate the energy usage state of the evaluation target area.

[0078] The evaluation index correction processing unit 34 performs correction processing of the two types of evaluation indexes calculated by the unit consumption energy amount calculation unit 32 and the fixed consumption energy amount calculation unit 33 as necessary. Here, for example, environmental information on the specifications and environmental state of the evaluation target area is acquired from an external server or the like, and the evaluation index is corrected based on this environmental information. Specifically, according to, for example, temperature (outdoor temperature), humidity, weather, and date attributes (weekday / holiday, etc.), either one or both of the evaluation index for the component dependent on the number of people staying (unit consumption energy amount Ep(t)) and the evaluation index for the component independent of the number of people staying (fixed consumption energy amount E0(t)) are corrected as necessary. The purpose of this correction processing is to correct the fluctuation due to the difference in the consumption energy amount caused by the difference in the environment (outdoor temperature, humidity, weather, weekday / holiday, day of the week, etc.) in each period for the time series data of the evaluation index obtained for each predetermined period (for example, one day).

[0079] Specifically, the evaluation index correction processing unit 34 performs a correction process on the evaluation index, for example, by the following procedure. Note that, below, an example of the correction process on the unit consumption energy amount Ep(t) calculated by the unit consumption energy amount calculation unit 32 will be described.

[0080] (a) Correction process according to the temperature, humidity, and weather of the day Ep'(t) = α Ep(t) (4) In equation (4), α represents a correction coefficient whose value is determined according to the temperature, humidity, weather, and other environmental factors of the day.

[0081] (b) Correction processing according to day attributes such as weekday / holiday Ep''(t)=β Ep(t) (5) In formula (5), β represents a correction coefficient whose value is determined according to the day attributes of the current day, such as weekday / holiday.

[0082] In addition, when the unit energy consumption amount Ep(t) represents the unit energy consumption amount by equipment, the values ​​of the correction coefficients α and β may be determined using different environments for each equipment. This allows the unit energy consumption amount of each equipment to be appropriately corrected taking into account the difference in the environment for each equipment that affects the amount of consumed energy.

[0083] In the evaluation index correction processing unit 34, the above-mentioned correction processing of the evaluation index makes it possible to calculate the unit energy consumption amount Ep(t) and the fixed energy consumption amount E0(t) while suppressing the fluctuation of the daily energy usage state due to the temperature, humidity, weather, and day attributes. For example, if the outside temperature and humidity on the evaluation target day are higher than usual in summer, users in the evaluation target area will use the air conditioning equipment more accordingly, so the unit energy consumption amount Ep(t) of the air conditioning equipment is corrected based on the temperature and humidity data.

[0084] Alternatively, different evaluation indices may be used for the components of the energy usage amount that depend on the number of people staying for each day attribute.

[0085] In the above, an example was explained in which correction processing was performed on the unit energy consumption Ep(t), which is an evaluation index of energy consumption that depends on the number of people, depending on temperature, humidity, weather, and day attributes. However, correction processing may also be performed on the fixed energy consumption E0(t), which is an evaluation index of energy consumption that does not depend on the number of people. For example, if a computer server or the like is installed in the evaluation target area, it is necessary to keep the temperature fluctuation of the evaluation target area within a certain range. Therefore, it is preferable to perform correction processing on the fixed energy consumption E0(t) depending on the temperature.

[0086] The evaluation index output unit 35 outputs two types of evaluation indexes (unit energy consumption amount, fixed energy consumption amount) based on the first energy consumption feature amount and the second energy consumption feature amount, which are calculated by the unit energy consumption amount calculation unit 32 and the fixed energy consumption amount calculation unit 33, respectively, and further corrected as necessary by the evaluation index correction processing unit 34, to the evaluation index database 91, the energy usage state evaluation unit 50, and the evaluation result output unit 80.

[0087] Fig. 5 is a diagram showing an example of a relational expression between the number of staying people and the amount of consumed energy calculated by the energy consumption feature amount calculation unit 30, and an example of an evaluation index calculated based on this. Fig. 5 will be described below.

[0088] FIG. 5(a) is a graph showing a scatter plot of the number of people P and energy usage E in the evaluation area at each time. This graph shows the correlation between the number of people in the evaluation area and energy usage. In FIG. 5(a), the horizontal axis represents the number of people P, and the vertical axis represents the energy usage E. Furthermore, each point shown in the scatter plot in FIG. 5(a) represents a combination of the number of people P(t) and energy usage E(t) at each time t on a certain target day.

[0089] In the case of a typical office floor, energy usage is determined by the activity of people. Therefore, as shown in Figure 5(a), the number of people P and the amount of energy usage E are roughly proportional to each other. If this correlation is expressed as a regression equation, the above-mentioned equation (1) is obtained. This relational equation can be expressed, for example, by a straight line 51.

[0090] FIG. 5(b) shows how the energy consumption shown at each plot point in the scatter plot is decomposed into a component that varies depending on the number of people P (first energy consumption feature amount) and a component that does not depend on the number of people P (second energy consumption feature amount) based on the information obtained from the scatter plot in FIG. 5(a). As shown in FIG. 5(b), among the plot points (P(t), E(t)) in the scatter plot, a set 52 of plot points where P(t) ≠ 0 corresponds to the component that varies depending on the number of people P. In addition, among the plot points (P(t), E(t)) in the scatter plot, a set 53 of plot points where P(t) = 0 corresponds to the component that does not depend on the number of people P. These two types of energy consumption feature amount components are expressed by the model of the linear regression formula (1) described above as follows. ·Component of energy consumption that depends on the number of people: K·P Energy consumption component that is independent of the number of people: E0

[0091] The evaluation indices for these two components of the energy consumption feature are defined as follows: -Evaluation index of energy consumption depending on the number of people: Slope of regression equation (regression coefficient) K This slope K corresponds to the energy consumption per person when the number of people staying in the evaluation area is 1 or more, and corresponds to the unit energy consumption Ep(t) calculated from the time series data using the above-mentioned formula (2). -Energy consumption evaluation index that does not depend on the number of people: Vertical axis intercept of the regression equation E0 This intercept corresponds to the amount of energy used when the number of people staying in the evaluation area is zero, and corresponds to the fixed energy consumption E0(t) calculated from the time series data using the above-mentioned formula (3).

[0092] Figure 5(c) shows an example of an evaluation of energy usage using the evaluation indexes for each component explained in Figure 5(b). Here, the plot points on the scatter plot are used as evaluation indexes, and an example is shown in which they are compared with the evaluation standard values ​​set using the regression model explained in Figure 5(a).

[0093] First, the evaluation reference value for the evaluation index (unit energy consumption) of energy consumption that depends on the number of people P in the evaluation target area and the evaluation reference value for the evaluation index (fixed energy consumption) of energy consumption that does not depend on the number of people P are respectively determined by the slope K and the vertical axis intercept E0 of the regression equation represented by the straight line 54 in FIG. 5(c). By comparing each plot point (P(t), E(t)) in FIG. 5(c) with these evaluation reference values, the energy consumption of the evaluation target area acquired at each predetermined time is evaluated. As a result, for example, when the number of people P is 1 or more, a set 55 of plot points that deviate significantly from the straight line 54 is detected, and when the number of people P is 0, a set 56 of plot points that deviate significantly from the vertical axis intercept E0 is detected. At each time point when these plot points are acquired, it is evaluated that there is waste in the energy consumption state of the evaluation target area.

[0094] As described above, the evaluation index and the evaluation standard value are compared. As a result, the evaluation results obtained are visually easy to understand, as shown in Figure 5(c), and the administrator can easily interpret their meaning.

[0095] Fig. 6 is a diagram showing an example of evaluation indexes calculated by the consumed energy features calculation unit 30. First, assume that time series data shown in graphs 61 and 62 in Fig. 6 are input to the consumed energy features calculation unit 30 as data on the number of people staying in the evaluation area P(t) and the amount of energy consumption E(t). The consumed energy features calculation unit 30 combines these two types of time series data to calculate an evaluation index for a component of energy consumption that depends on the number of people and an evaluation index for a component of energy consumption that does not depend on the number of people as follows.

[0096] The evaluation index for the component of energy usage that depends on the number of people is calculated as the unit energy consumption Ep(t) when the number of people staying satisfies the condition P(t)>0 using the above-mentioned formula (2). As a result, time series data of unit energy consumption Ep(t) as shown in graph 63, for example, is calculated as the evaluation index for the component of energy usage that depends on the number of people. By comparing this graph 63 with the evaluation reference value, it is possible to evaluate how the energy usage state per person in the evaluation target area changes over the course of a day. For example, it becomes possible to quantitatively evaluate conditions such as excessive energy usage for air conditioning equipment and lighting equipment.

[0097] Furthermore, the evaluation index for the component of energy usage that is not dependent on the number of people is calculated as the fixed energy usage E0(t) when the number of people present satisfies the condition P(t) = 0 using the above-mentioned formula (3). As a result, time series data of the fixed energy usage E0(t), for example, as shown in graph 64, is calculated as the evaluation index for the component of energy usage that is not dependent on the number of people. By comparing this graph 64 with the evaluation reference value, it is possible to evaluate how the energy usage state when no one is present in the evaluation target area changes over the course of a day. For example, it becomes possible to quantitatively evaluate conditions such as excessive energy usage late at night.

[0098] Fig. 7 is a diagram showing an example of the correction process of the evaluation reference value performed in the consumed energy feature calculation unit 30. This correction process is executed by the evaluation index correction processing unit 34 described in Fig. 4 in the consumed energy feature calculation unit 30. Fig. 7 will be described below.

[0099] Figure 7(a) is a graph showing a scatter plot of the number of people P(t) and energy usage E(t) in the evaluation area at each time before correction. In this graph, similar to the above-mentioned Figure 5(a), the horizontal axis represents the number of people P and the vertical axis represents the energy usage E. Also, each point shown in the scatter plot in Figure 7(a) represents a combination of the number of people P(t) and energy usage E(t) at each time t on a certain target day (July X).

[0100] Here, the regression equation (E=K·P+E0) for each of the above points is expressed as a straight line 71. Also, assume that the outside temperature on the above target day (July day X) was an average of 28°C, and the monthly average temperature in July was 24°C. In this case, the regression equation corresponding to the average value of the number of people P staying in the evaluation target area and the amount of energy usage E throughout July is expressed as a dotted line 72, for example, which has a smaller slope (energy usage per person) than the straight line 71 representing the regression equation for the target day. The reason for this is due to the difference in outside temperature. Specifically, since the temperature on the target day is higher than the monthly average temperature, the energy usage of the air conditioning equipment is higher on the target day than on other days, which makes the slope of the regression equation model (energy usage per person) larger.

[0101] In this way, the amount of energy used per person varies depending on the difference in outside temperature. Therefore, the energy consumption feature calculation unit 30 performs a correction process to correct this variation in energy use based on temperature, humidity, weather, day attributes, etc., as described above, to remove the influence of the outside temperature. Figure 7(b) shows the result of performing a correction process for the outside temperature on the data of the energy use E(t) at each time t on the target day (July X) shown in Figure 7(a).

[0102] Next, details of the processing executed by the evaluation reference value calculation unit 40 in the building energy management system 1 of this embodiment will be described below with reference to Fig. 8. Fig. 8 is a diagram showing an example of a functional block diagram of the evaluation reference value calculation unit 40. As shown in Fig. 8, the evaluation reference value calculation unit 40 includes, for example, a specification-based evaluation reference value calculation unit 41, a history-based evaluation reference value calculation unit 42, an evaluation reference value determination unit 43, an evaluation reference value correction processing unit 44, and an evaluation reference value output unit 45.

[0103] The evaluation reference value calculation unit 40 receives as input data the number of people data from the area number of people acquisition unit 10, the energy usage data for each area, each time, and each piece of equipment from the energy consumption acquisition unit 20, the evaluation index from the energy consumption feature calculation unit 30, and environmental information on the specifications and environmental conditions (temperature, humidity, weather, date attributes, etc.) of the evaluation target area from an external server, etc. The specification-based evaluation reference value calculation unit 41 and the history-based evaluation reference value calculation unit 42 use these input data to respectively calculate an evaluation reference value based on the specifications of the evaluation target area and an evaluation reference value based on the past history data of the evaluation target area or other areas.

[0104] The specification-based evaluation standard value calculation unit 41 acquires information on the specifications of the evaluation target area from among the environmental information input from the outside. Specifically, for example, information such as the structure of the evaluation target area (area, height, position of the evaluation target area in the building, overall structure of the building, etc.), heat capacity, capacity, use, and types of tenants in the evaluation target area is acquired. In addition, information on various facilities (air conditioning facilities, lighting facilities, office automation equipment, other energy consuming facilities, etc.) installed in the evaluation target area is acquired. Based on this information, the specification-based evaluation standard value calculation unit 41 calculates the standard energy consumption based on the specifications of the evaluation target area. For example, a formula for calculating the standard energy consumption for each type of specification, or a formula for calculating the standard energy consumption for each type of facility or facility capacity is prepared in advance, and the standard energy consumption of the evaluation target area can be calculated by using this. As a simple example, the energy consumption per unit area X (kWh / m ) can be calculated based on the facilities and uses of the evaluation target area.2 ) is determined, and then multiplied by the area of ​​the area to be evaluated Y (m 2 ) to calculate the standard energy consumption X·Y (kWh) for the area being evaluated.

[0105] After calculating the standard energy consumption in the evaluation target area as described above, the specification-based evaluation reference value calculation unit 41 calculates the above-mentioned first evaluation reference value and second evaluation reference value based on the calculation result. For example, the second evaluation reference value can be calculated by subtracting the energy consumption of equipment that does not operate when no one is present from the standard energy consumption. In addition, the first evaluation reference value can be calculated by dividing the value obtained by subtracting the second evaluation reference value from the standard energy consumption by the standard number of people (such as capacity) in the evaluation target area.

[0106] The evaluation reference value calculated by the specification-based evaluation reference value calculation unit 41 is used as an evaluation reference value when no past historical data exists, for example, immediately after the start of operation of a building including the evaluation target area or the building energy management system 1.

[0107] The history-based evaluation reference value calculation unit 42 calculates the first evaluation reference value and the second evaluation reference value by a method different from that of the specification-based evaluation reference value calculation unit 41, based on the input data of the number of staying people, the energy usage, and the evaluation index, and on the past evaluation indexes stored in the evaluation index database 91. Specifically, the history-based evaluation reference value calculation unit 42 calculates the first evaluation reference value and the second evaluation reference value by, for example, any of the following three methods.

[0108] (1) Calculation method based on past data for the same building and area A first evaluation reference value and a second evaluation reference value are calculated based on evaluation indexes (unit energy consumption amount, fixed energy consumption amount) calculated in the past for the evaluation target area. For example, the average values ​​of unit energy consumption amount and fixed energy consumption amount of the evaluation target area during a certain period in the past are calculated, and these calculation results are used as the first evaluation reference value and the second evaluation reference value. When the evaluation reference value calculated by this calculation method is used, the current energy usage state can be evaluated by referring to the past energy usage state of the evaluation target area.

[0109] (2) Calculation method based on past data of the same building / different areas A first evaluation reference value and a second evaluation reference value are calculated based on evaluation indices (unit energy consumption amount, fixed energy consumption amount) calculated in the past for a different area of ​​the same building as the evaluation target area. For example, the average unit energy consumption amount and fixed energy consumption amount of the area in question during a certain period in the past are calculated, and these calculation results are used as the first evaluation reference value and the second evaluation reference value. When the evaluation reference value calculated by this calculation method is used, for example, the state of the energy usage state of the evaluation target area can be determined even if it has been continuously high since the past.

[0110] (3) Calculation method based on past data of different buildings and areas that meet similar conditions A first evaluation reference value and a second evaluation reference value are calculated based on evaluation indices (unit energy consumption, fixed energy consumption) calculated in the past for areas of buildings different from the evaluation target area that satisfy a predetermined similarity condition. For example, an area similar to the evaluation target area is determined based on the use of the area (type of tenants, etc.), the number of people staying in the area, and the specifications of the area (area, facility configuration, facility specifications, etc.), and the average unit energy consumption and fixed energy consumption of the area during a certain period in the past are calculated, and these calculation results are used as the first evaluation reference value and the second evaluation reference value. When the evaluation reference value obtained by this calculation method is used, it is possible to compare and evaluate the energy usage status of each building when the same tenant company occupies multiple buildings, which is an issue that cannot be solved by the calculation methods (1) and (2), for example.

[0111] In addition, the history-based evaluation reference value calculation unit 42 may use all of these three types of calculation methods for the evaluation reference value, or may use any one or a combination of more than one of them. Also, different calculation methods may be used for the first evaluation reference value and the second evaluation reference value, or a calculation method other than the above may be used. When a plurality of calculation methods are combined, for example, the evaluation reference values ​​obtained by each calculation method are weighted and added to obtain a final calculation result of the history-based evaluation reference value in the history-based evaluation reference value calculation unit 42. In any case, it is preferable that the history-based evaluation reference value calculation unit 42 calculates an evaluation reference value that can appropriately evaluate the energy usage state of the area to be evaluated.

[0112] Moreover, the above evaluation reference value is not limited to a fixed value, and may be a value that changes with time. Since the energy usage state of the evaluation target area changes with time (time of day, day of the week, month, season, etc.), it is preferable to set an appropriate evaluation reference value for each time accordingly. For example, when the average value of the unit energy consumption amount or the fixed energy consumption amount in a certain period in the past is used as the evaluation reference value, the time window (time interval) for taking the average can be set to any period such as every 15 minutes, every 30 minutes, every 60 minutes, every day, every week, every month, every season, every year, etc. Which of these time windows is selected may be selected according to the viewpoint of the evaluation of the energy usage state of interest. For example, when it is desired to evaluate at what time of day energy waste occurs, it is preferable to select a period such as every 15 minutes, every 30 minutes, or every 60 minutes as the time window for calculating the average value.

[0113] By using the evaluation reference value calculated as described above, the energy usage state of the evaluation target area can be evaluated from various viewpoints, and as a result, usage states that are considered to be energy wasteful can be detected.

[0114] The evaluation reference value determination unit 43 determines the first evaluation reference value and the second evaluation reference value before correction based on the first evaluation reference value and the second evaluation reference value (hereinafter referred to as "specification-based evaluation reference value") calculated by the specification-based evaluation reference value calculation unit 41 and the first evaluation reference value and the second evaluation reference value (hereinafter referred to as "history-based evaluation reference value") calculated by the history-based evaluation reference value calculation unit 42. Here, for example, based on the storage status of past evaluation indexes in the evaluation index database 91, either the specification-based evaluation reference value or the history-based evaluation reference value is selected as the evaluation reference value before correction. Specifically, when past history data is not sufficiently recorded in the evaluation index database 91 and it is therefore difficult to calculate the history-based evaluation reference value, the specification-based evaluation reference value is selected as the evaluation reference value before correction. On the other hand, when past history data is sufficiently recorded in the evaluation index database 91 and it is possible to calculate the history-based evaluation reference value, the history-based evaluation reference value is selected as the evaluation reference value before correction. In addition, the administrator may be allowed to select the evaluation reference value at will.

[0115] Alternatively, the evaluation reference value before correction may be calculated using both the specification-based evaluation reference value and the history-based evaluation reference value. For example, the evaluation reference value before correction may be a value obtained by weighting and adding the specification-based evaluation reference value and the history-based evaluation reference value. Furthermore, whether the specification-based evaluation reference value or the history-based evaluation reference value is used may be changed between the first evaluation reference value and the second evaluation reference value, or the ratio in the case of weighting and adding may be changed.

[0116] The evaluation reference value correction processing unit 44 performs correction processing of the first evaluation reference value and the second evaluation reference value before correction determined by the evaluation reference value determination unit 43 as necessary. Here, similar to the evaluation index correction processing unit 34 described in FIG. 4, either one or both of the first evaluation reference value and the second evaluation reference value are corrected as necessary based on environmental information acquired from an external server or the like. The purpose of this correction processing is to correct the evaluation reference value not simply from the viewpoint of energy use but also taking into consideration comfort within the evaluation target area. For example, on days when the outside temperature is high, the correction processing is performed to reflect that and raise the evaluation reference value. The environmental information used in the correction processing of the evaluation reference value may be past actual measured values ​​such as temperature and humidity, or may be predicted values ​​thereof.

[0117] It is necessary to perform only one of the correction process of the evaluation index by the evaluation index correction processing unit 34 described in Fig. 4 and the correction process of the evaluation reference value by the evaluation reference value correction processing unit 44 in Fig. 8. For example, when comparing evaluation indices on different days, it is preferable to perform the correction process of the evaluation index.

[0118] The evaluation reference value output unit 45 outputs the evaluation reference values ​​(first evaluation reference value, second evaluation 2 reference value) determined by the evaluation reference value determination unit 43 and further corrected as necessary by the evaluation reference value correction processing unit 44 to the evaluation index database 91, the energy usage state evaluation unit 50 and the evaluation result output unit 80.

[0119] FIG. 9 is a diagram showing an example of a flowchart showing the flow of the evaluation reference value calculation process performed by the evaluation reference value calculation unit 40.

[0120] First, when there is no past history data, such as immediately after the start of operation of a building including the evaluation target area or the building energy management system 1, the evaluation reference value calculation unit 40 uses the specification-based evaluation reference value calculation unit 41 to calculate an evaluation reference value based on the specifications of the evaluation target area and the specifications of the equipment in the evaluation target area (step ST21). For example, when the evaluation target area is an office, the evaluation reference value calculation unit 40 calculates the energy consumption during working hours and other non-working hours, respectively. Then, based on the calculation result of the energy consumption during working hours, the evaluation reference value calculation unit 40 calculates a first evaluation reference value for unit energy consumption using data such as the number of employees in the evaluation target area. Also, based on the calculation result of the energy consumption outside of working hours, the evaluation reference value calculation unit 40 calculates a second evaluation reference value for fixed energy consumption.

[0121] By the process of step ST21, as shown in graph 81, for example, different evaluation reference values ​​are set for during working hours and outside working hours.

[0122] After that, when a sufficient amount of past history data is accumulated in the evaluation index database 91, the evaluation reference value calculation unit 40 calculates an evaluation reference value that takes into account the actual usage situation of the evaluation target area based on the input data of the number of people staying, the energy usage, and the evaluation index, and the past evaluation indexes stored in the evaluation index database 91, using the history-based evaluation reference value calculation unit 42 (step ST22). Here, for example, using any one of the above-mentioned methods (1) to (3), a first evaluation reference value for unit energy consumption and a second evaluation reference value for fixed energy consumption are calculated.

[0123] By the processing of step ST22, a different evaluation reference value is set for each time according to the actual energy usage during working hours, as shown in graph 82. Therefore, compared to graph 81 set in step ST21, which is shown by the dotted line in the figure, it is possible to set an appropriate evaluation reference value in detail according to the actual energy usage in the evaluation target area.

[0124] Fig. 10 is a diagram showing an example of the evaluation reference value calculated by the evaluation reference value calculation section 40. Fig. 10 will be described below.

[0125] Fig. 10(a) shows an example in which an evaluation standard value is set for each day for one month of energy usage status that is tallied daily. Graph 101 in Fig. 10(a) shows an example of unit energy consumption amount and its evaluation standard value, and graph 102 shows an example of fixed energy consumption amount and its evaluation standard value.

[0126] In graph 101, the horizontal axis represents the date, and the vertical axis represents the unit energy consumption. Each bar represents the unit energy consumption on each day of the evaluation month (e.g., July). A straight line 111 drawn across graph 101 represents the evaluation standard value for the unit energy consumption on each day.

[0127] The energy usage state evaluation unit 50 evaluates the energy usage state when people are present within the evaluation target area by comparing the unit energy consumption amount for each day shown in graph 101 as an evaluation index with the evaluation reference value shown in line 111. As a result, a day on which the bar graph crosses line 111 can be detected as a day on which wasteful energy usage may have occurred, in other words, as a day on which there is room for energy saving.

[0128] Each bar in the graph 102 represents the amount of fixed energy consumption on each day of the month to be evaluated (for example, July). A straight line 112 drawn across the graph 102 represents the evaluation standard value for the amount of fixed energy consumption on each day.

[0129] As in the example of graph 101, the energy usage status evaluation unit 50 uses the fixed energy consumption amount for each day shown in graph 102 as an evaluation index and compares it with the evaluation reference value shown in line 112 to evaluate the energy usage status when the area to be evaluated is unoccupied.

[0130] In the example of Figure 10(a), for simplicity, the evaluation criteria value for each day is set to a constant value as shown by lines 111 and 112, but in reality, it may be changed on a daily or weekly basis depending on the average temperature for each day, the number of people staying in the area to be evaluated, etc.

[0131] Fig. 10(b) shows an example in which an evaluation standard value is set for each hour for the energy usage status for one day that is tallied by hour. Graph 103 in Fig. 10(b) shows an example of unit energy consumption amount, which is an evaluation index of energy usage that depends on the number of people, and its evaluation standard value, and graph 104 shows an example of fixed energy consumption amount, which is an evaluation index of energy usage that does not depend on the number of people, and its evaluation standard value.

[0132] In graph 103, the horizontal axis represents time, and the vertical axis represents the unit energy consumption. Each bar graph element represents the unit energy consumption at each time on the evaluation date (e.g., July 21). A solid line 113 on graph 103 represents the evaluation reference value for the unit energy consumption at each time.

[0133] The energy usage state evaluation unit 50 evaluates the energy usage state when people are present in the evaluation target area by comparing the unit energy consumption amount at each time shown by a bar graph in graph 103 as an evaluation index with the evaluation reference value shown by solid line 113. As a result, the time when the bar graph crosses solid line 113 can be detected as a time when wasteful energy usage may have occurred, in other words, a time where there is room for energy saving.

[0134] The evaluation reference value indicated by the solid line 113 is calculated based on the average value of past evaluation indexes in the evaluation target area, for example, by the calculation method (1) described above. This evaluation reference value is high in times when there are few people, such as in the morning and evening. As a result, the reference value is relaxed (increased) in consideration of the comfort of the floor environment. In other words, even when the number of people using the evaluation target area is small, it is necessary to maintain a certain level of room temperature and brightness to ensure the comfort of users, so the evaluation reference value for unit energy consumption is set taking into consideration the energy consumption for that amount. The energy usage state evaluation unit 50 can evaluate the energy usage state when people are present in the evaluation target area by comparing this evaluation reference value with the evaluation index (unit energy consumption) at each time.

[0135] Similarly, in graph 104, the horizontal axis represents time and the vertical axis represents energy consumption. Each element of the bar graph represents the amount of fixed energy consumption at each time on the evaluation date (e.g., July 21). A solid line 114 illustrated on graph 104 represents an evaluation reference value for the amount of fixed energy consumption at each time.

[0136] The energy usage state evaluation unit 50 evaluates the energy usage state when the evaluation target area is unoccupied by comparing the fixed energy consumption amount at each time shown by a bar graph in graph 104 as an evaluation index with the evaluation reference value shown by solid line 114. As a result, the time when the bar graph exceeds the solid line 114 can be detected as a time when wasteful energy use may have occurred, in other words, a time when there is room for energy saving. Note that since the operating state of equipment operating when unoccupied is unlikely to change depending on the time of day, the evaluation reference value of the solid line 114 is roughly constant at any time of the night. Also, during the daytime when people are present in the evaluation target area, the evaluation reference value of the solid line 114 is 0.

[0137] Fig. 10(c) shows an example of the case where the evaluation reference value is corrected in accordance with the predicted (change) temperature on the evaluation day in the graph 103 described in Fig. 10(b). In Fig. 10(c), dotted line 115 (the same as solid line 113 in Fig. 10(b)) represents the evaluation reference value before correction, and solid line 116 represents the evaluation reference value after correction. Here, an example is shown in which the evaluation reference value is corrected downward on the evaluation day based on a predicted value that the daytime temperature will drop on the evaluation day. In this example, the evaluation reference value is corrected downward midway to reflect the fact that the power consumption of air conditioning equipment decreases as the temperature drops.

[0138] In this way, by correcting the evaluation criteria value according to conditions such as the temperature, humidity, and number of people in the area on the evaluation day, it is possible to perform an appropriate evaluation of energy usage based on the actual floor conditions.

[0139] Next, examples of information output from the evaluation result output unit 80 in the building energy management system 1 of this embodiment will be described below with reference to FIGS.

[0140] Fig. 11 is a diagram showing an example of information relating to the evaluation result of the energy usage state output from the evaluation result output unit 80. Fig. 11 shows an example of the information output from the evaluation result output unit 80 displayed on the screen of the building management information output device 6.

[0141] The information shown in FIG. 11 includes information elements 121 indicating the building name, floor name, and period to be evaluated, information elements 122 indicating long-term evaluation results, and information elements 123 indicating short-term evaluation results.

[0142] Information element 121 indicates that the name of the building being evaluated is "AAA Building", the name of the floor is "7th floor", and the period is "July 2002".

[0143] Information element 122 shows the evaluation results for energy usage over a relatively long period (for one month in July 2002 in the example of FIG. 11) as an evaluation result that overlooks the overall state of energy usage in the evaluation target area. This information element 122 includes graph 131 showing the unit energy consumption amount and its evaluation reference value for each day of the evaluation target period, and graph 132 showing the fixed energy consumption amount and its evaluation reference value for each day of the evaluation target period. Note that, in the example of FIG. 11, the evaluation target period for showing the evaluation results in information element 122 is one month, but other periods may also be used as the evaluation target period. Also, multiple floors may be treated as the evaluation target area, and their evaluation results may be displayed all at once.

[0144] In graph 131, the horizontal axis represents the date, and the vertical axis represents the unit energy consumption amount, which is the evaluation index. Each element of the bar graph represents a representative value (daily average value, total value, etc.) of the unit energy consumption amount for each day in the evaluation period (July 2002). A straight line 141 illustrated crossing graph 131 represents the evaluation standard value for the unit energy consumption amount for each day. As with the above-mentioned FIG. 10(a), the evaluation standard value may be changed daily or weekly depending on the average temperature for each day, the number of people staying in the evaluation area, etc.

[0145] In graph 132, the horizontal axis represents the date, and the vertical axis represents the amount of energy consumption, which is the evaluation index. Each element of the bar graph represents a representative value (daily average value, total value, etc.) of the amount of fixed energy consumption on each day of the evaluation period (July 2002). A straight line 142 drawn across graph 132 represents the evaluation standard value for the amount of fixed energy consumption on each day.

[0146] In graphs 131 and 132, the bar graph elements for days on which the evaluation index exceeds the evaluation reference value are displayed in a different display format (e.g., a different color) from the bar graph elements for other days. On such days, energy usage in the evaluation area is higher than on other days for some reason, and it is considered that there is room for energy saving. Note that these evaluation days are clearly indicated by arrows 143 and 144 in graphs 131 and 132, respectively.

[0147] Information element 123 shows the evaluation result for the energy usage on the specified evaluation date (July 21) as the evaluation result for the details of the energy usage state in the evaluation target area. This information element 123 includes graph 133 showing the correlation between the number of people staying in the evaluation target area and the energy usage on the evaluation target date in a scatter plot, graph 134 showing the unit energy consumption amount and its evaluation reference value at each time on the evaluation target date, graph 135 showing the fixed energy consumption amount and its evaluation reference value at each time on the evaluation target date, and message field 136 showing a message according to the evaluation result of the energy usage state.

[0148] Each plot point on graph 133 indicates a combination of the number of people staying in the evaluation area and the amount of energy consumption for each specified time period. The slope of line 145 on graph 133 indicates the component of energy consumption that depends on the number of people on a floor, i.e., the evaluation standard value for the unit amount of energy consumption, and line 146 indicates the component of energy consumption that does not depend on the number of people on a floor, i.e., the evaluation standard value for the fixed amount of energy consumption. By comparing these evaluation standard values ​​with each plot point, the energy consumption state of the evaluation area on the evaluation day is evaluated.

[0149] Each element of the bar graph in graph 134 represents the unit energy consumption amount at each time on the specified evaluation date (July 21st). In addition, a solid line 147 illustrated on graph 134 represents an evaluation reference value for the unit energy consumption amount. By comparing this evaluation reference value with each bar graph, an evaluation is performed on the energy usage state of the evaluation target area on the evaluation date. In the example of FIG. 11, the comparison result of graph 134 shows that the evaluation index exceeds the evaluation reference value in the morning time slot.

[0150] Each element of the bar graph in graph 135 represents the amount of fixed energy consumption at each time on the specified evaluation date (July 21st). A solid line 148 on graph 135 represents an evaluation reference value for the amount of fixed energy consumption. By comparing this evaluation reference value with each bar graph, an evaluation is made of the energy usage state of the evaluation target area on the evaluation date.

[0151] From graphs 134 and 135, it can be determined that wasteful energy usage occurs in the morning hours. In message field 136, "Excessive energy usage occurs between 7 and 8 in the morning compared to the number of people" is displayed as a cause extracted by cause extraction unit 60 for this evaluation result. This notifies the manager of the building or evaluation area of ​​the time period during which energy usage that seems to be wasteful occurred, and indicates that there is room for energy saving.

[0152] Fig. 12 is a diagram showing another example of the information on the evaluation result of the energy usage state output from the evaluation result output unit 80. This example shows a case where the evaluation result shown in Fig. 11 is further supplemented by evaluating the energy usage state for each piece of equipment to analyze which piece of equipment is experiencing an excessive energy usage state.

[0153] A graph 151 shown in FIG. 12 has the same content as the graph 134 shown in FIG. 11, and a solid line 161 shown on the graph 151 indicates an evaluation reference value for a unit amount of energy consumption.

[0154] Graphs 152 and 153 show the unit energy consumption amount for the entire evaluation area shown in graph 151, divided into the unit energy consumption amount for each piece of equipment, that is, the air conditioning equipment and the lighting equipment.

[0155] In the example of FIG. 12, a comparison between the evaluation reference value of graph 152 and each bar graph reveals that the evaluation index for air conditioning equipment exceeds the evaluation reference value in the morning hours (7:00 and 8:00).

[0156] In the example of FIG. 12, a comparison result of a graph 153 similar to the graph 152 shows that the evaluation index for lighting equipment does not exceed the evaluation reference value at any time of day.

[0157] In the energy usage status evaluation unit 50, it can be determined from the graphs 152 and 153 that wasteful energy usage occurs in the time period from 7:00 to 8:00 in the morning, and that the cause is the use of the air conditioning equipment. In the message field 154, as the factors extracted by the factor extraction unit 60 for this evaluation result, "Excessive energy usage occurs between 7:00 and 8:00 in the morning compared to the number of people," and "Excessive energy usage occurs in air conditioning between 7:00 and 8:00 in the morning compared to the number of people." are displayed. Furthermore, as the improvement measures selected by the improvement measure selection unit 70, "We recommend that you turn off the air conditioning equipment in places where there are no people." are displayed. This encourages the manager of the building or the area to be evaluated to encourage users to use energy in a more appropriate state.

[0158] As described above, when a plurality of pieces of equipment are installed in an area to be evaluated, it is possible to evaluate the energy usage state of the area to be evaluated for each piece of equipment.

[0159] In the example of Figure 12, the building management information output device 6 outputs information such as the evaluation results of energy usage, reasons why the energy usage is not appropriate, and improvement measures to those involved in the building or floor in the message field 154 on the screen. However, the floor equipment control device 7 may be used to directly control the operation state of the equipment according to the evaluation results of the energy usage.

[0160] Fig. 13 is a diagram showing yet another example of the information relating to the evaluation result of the energy usage state output from the evaluation result output unit 80. This example shows a case where a different target date is specified in the evaluation result shown in Fig. 11.

[0161] The contents of information elements 121, 122 shown in Fig. 13 are the same as those in Fig. 11. However, in graphs 131, 132 of information element 122, the evaluation dates specified by arrows 143, 144, respectively, are different from those in Fig. 11. As a result, information element 123 represents the evaluation result of energy usage on an evaluation date (July 25th) different from that in Fig. 11, as the evaluation result for the details of the energy usage state in the evaluation target area.

[0162] In Figure 13, information element 123 includes graph 173, which shows a scatter plot of the correlation between the number of people in the evaluation area and energy usage on the evaluation date (July 25th), graph 174, which shows the unit energy consumption amount and its evaluation standard value at each time on the evaluation date, graph 175, which shows the fixed energy consumption amount and its evaluation standard value at each time on the evaluation date, and message column 176, which shows a message according to the evaluation result of the energy usage state.

[0163] Each plot point on graph 173 indicates a combination of the number of people staying in the evaluation area and the amount of energy used at each time. The slope of line 185 on graph 173 indicates the evaluation standard value for the unit amount of energy consumed, and line 186 indicates the evaluation standard value for the fixed amount of energy consumed. By comparing these evaluation standard values ​​with each plot point, the energy usage state of the evaluation area on the evaluation day is evaluated.

[0164] Each element of the bar graph in graph 174 represents the unit energy consumption amount at each time on the specified evaluation date (July 25th). In addition, a solid line 187 illustrated on graph 174 represents an evaluation reference value for the unit energy consumption amount. By comparing this evaluation reference value with each bar graph, an evaluation is made of the energy usage state of the evaluation target area on the evaluation date.

[0165] Each element of the bar graph in graph 175 represents the amount of fixed energy consumption at each time on the specified evaluation date (July 25th). In addition, a solid line 188 illustrated on graph 175 represents an evaluation reference value for the amount of fixed energy consumption. By comparing this evaluation reference value with each bar graph, an evaluation is performed for the energy usage state of the evaluation target area on the evaluation date. In the example of FIG. 13, the comparison result of graph 175 shows that the evaluation index exceeds the evaluation reference value during the time period from late night to early morning (1:00 to 6:00) when the evaluation target area is unoccupied.

[0166] From graphs 174 and 175, the energy usage status evaluation unit 50 can determine that wasteful energy usage occurs in the time period from late at night to early morning. In the message field 176, "Excessive energy usage occurs between 1:00 a.m. and 6:00 a.m. when no one is present" is displayed as a cause extracted by the cause extraction unit 60 for this evaluation result. This notifies the manager of the building or the area to be evaluated of the time period in which the energy usage that seems to be wasteful occurred, and indicates that there is room for energy saving.

[0167] In this case, similarly to the example of FIG. 12, the floor equipment control device 7 may be used to directly control the operation state of the equipment in accordance with the evaluation result of the energy usage state.

[0168] The present invention is not limited to the above-described embodiments and modifications, and can be implemented using any components without departing from the scope of the present invention. Each embodiment and modification may be adopted alone, or a plurality of embodiments may be adopted in any combination. In other words, the present invention can achieve the above-described effects by combining the features of each embodiment in any combination.

[0169] The above-mentioned embodiments and modifications are merely examples, and the present invention is not limited to these contents as long as the characteristics of the invention are not impaired. In addition, although various embodiments and modifications have been described above, the present invention is not limited to these contents. Other aspects that are conceivable within the scope of the technical idea of ​​the present invention are also included in the scope of the present invention. [Explanation of symbols]

[0170] 1. Building Energy Management Systems 2. Elevator control device 3. Building facilities 3A…People sensor 3B…Entrance / Exit Device 3C…Air conditioner 3D…Lighting device 3E…OA equipment 4. Building facility management equipment 4A…People sensor management device 4B…Entrance and exit management device 4C…Air conditioning control device 4D…Lighting management device 4E…OA equipment management device 5. Facility energy management equipment 6. Building management information output device 7...Floor equipment control device 10…Area Number Acquisition Department 20...Energy consumption acquisition unit 30...Energy consumption characteristic calculation unit 31...Energy consumption classification section 32...Unit energy consumption calculation section 33...Fixed energy consumption calculation unit 34...Evaluation index correction processing unit 35...Evaluation index output section 40...Evaluation standard value calculation unit 41...Specification-based evaluation standard value calculation unit 42...History-based evaluation reference value calculation unit 43...Evaluation standard value determination unit 44...Evaluation reference value correction processing unit 45...Evaluation reference value output section 50…Energy Use Status Evaluation Section 60…Factor extraction section 70…Improvement plan selection department 80...Evaluation result output section 91...Evaluation Index Database 92...Improvement measures database

Claims

1. An energy management system for managing energy in a building, an area number of people acquisition unit that acquires the number of people staying in an evaluation target area of ​​the building; an energy consumption amount acquisition unit that acquires an energy consumption amount of the evaluation target area; an energy consumption classifying unit that classifies the amount of energy consumption in the evaluation target area into a first energy consumption feature representing a component correlated with the number of people staying in the evaluation target area and a second energy consumption feature having a weaker correlation with the number of people than the first energy consumption feature; an evaluation index output unit that outputs an evaluation index for an energy usage state of the evaluation target area based on at least one of the first consumed energy feature amount and the second consumed energy feature amount; An energy management system comprising:

2. The energy management system according to claim 1, The evaluation index output unit is outputting a unit energy consumption amount representing an energy consumption amount per person in the evaluation target area based on the number of people staying and the first energy consumption feature amount as the evaluation index based on the first energy consumption feature amount; An energy management system that outputs a fixed amount of consumed energy that represents the amount of energy consumed regardless of whether or not there are people staying in the evaluation area based on the second consumed energy characteristic as the evaluation index based on the second consumed energy characteristic.

3. The energy management system according to claim 2, an evaluation reference value output unit that outputs an evaluation reference value for the energy usage state of the evaluation target area; The evaluation reference value output unit outputs at least one of a first evaluation reference value which is the evaluation reference value for the unit energy consumption amount and a second evaluation reference value which is the evaluation reference value for the fixed energy consumption amount.

4. The energy management system according to claim 3, An energy management system comprising an energy usage state evaluation unit that evaluates the energy usage state of the evaluation target area based on at least one of the unit energy consumption amount and the fixed energy consumption amount and the evaluation reference value.

5. The energy management system according to claim 4, An energy management system in which the area to be evaluated is a floor of the building.

6. 6. The energy management system according to claim 5, the building is equipped with an elevator; An energy management system in which the number of people in the evaluation area is calculated based on the number of people getting on and off the elevator.

7. The energy management system according to claim 1, The energy consumption classification unit calculates a function that represents the relationship between the number of people staying and the amount of energy consumption, and determines terms in the function that change depending on the number of people staying and terms that do not change, thereby classifying the amount of energy consumption into the first energy consumption feature and the second energy consumption feature.

8. The energy management system according to claim 1, The energy consumption classification unit is an energy management system that sets the amount of energy consumption in the evaluation target area when the number of people staying is 0 as the second energy consumption characteristic amount.

9. The energy management system according to claim 2, a unit energy consumption calculation unit that calculates the unit energy consumption amount based on the number of people staying and the first energy consumption feature amount; a fixed consumed energy amount calculation unit that calculates the fixed consumed energy amount based on the second consumed energy feature amount; and an evaluation index correction processing unit that corrects at least one of the unit consumed energy amount calculated by the unit consumed energy amount calculation unit and the fixed consumed energy amount calculated by the fixed consumed energy amount calculation unit based on the environment when the consumed energy amount acquisition unit acquired the consumed energy amount of the evaluation target area, The evaluation index output unit is an energy management system that outputs at least one of the unit energy consumption amount and the fixed energy consumption amount corrected by the evaluation index correction processing unit.

10. The energy management system according to claim 3, an evaluation reference value determination unit that determines the evaluation reference value; and an evaluation reference value correction processing unit that corrects the evaluation reference value based on the environment when the consumed energy amount acquisition unit acquires the consumed energy amount of the evaluation target area, The evaluation reference value output unit is an energy management system that outputs the evaluation reference value corrected by the evaluation reference value correction processing unit.

11. The energy management system according to claim 10, The evaluation standard value determination unit is an energy management system that determines the first evaluation standard value and / or the second evaluation standard value for at least one of the similar areas that satisfy specified similarity conditions among the area to be evaluated, other areas in the same building as the area to be evaluated, and each area of ​​a building other than the area to be evaluated, based on the history of the unit energy consumption amount and / or the fixed energy consumption amount that have been output in the past from the evaluation index output unit.

12. The energy management system according to claim 11, The evaluation standard value determination unit is an energy management system that determines the similar areas based on at least one of the purpose, the number of people present, and the floor specifications in the evaluation target area and each area of ​​the different buildings.

13. The energy management system according to claim 4, a factor extraction unit that extracts a factor when an evaluation of the energy usage state of the evaluation target area is lowered; an improvement measure selection unit that selects an improvement measure for improving the energy usage state of the evaluation target area based on the factors extracted by the factor extraction unit.

14. The energy management system according to claim 4, the evaluation reference value output unit outputs the evaluation reference value for each predetermined evaluation period; The energy usage state evaluation unit is an energy management system that evaluates the energy usage state of the evaluation target area for each evaluation period based on the evaluation reference value for each evaluation period.

15. The energy management system according to claim 4, A plurality of pieces of equipment are installed in the evaluation area, The energy usage state evaluation unit is an energy management system that evaluates the energy usage state of the evaluation target area for each piece of equipment based on the first energy consumption feature amount, the second energy consumption feature amount, the first evaluation reference value, and the second evaluation reference value for each piece of equipment.

16. The energy management system according to claim 4, an evaluation result output unit that outputs an evaluation result of the energy usage state of the evaluation target area by the energy usage state evaluation unit, The evaluation result output unit outputs an evaluation result of the energy usage state of the evaluation target area when the unit energy consumption amount exceeds the first evaluation reference value by a predetermined value or more, or when the fixed energy consumption amount exceeds the second evaluation reference value by a predetermined value or more.

17. 17. The energy management system according to claim 16, The evaluation result output unit includes an output destination setting unit that sets an output destination, and outputs the evaluation result of the energy usage state of the evaluation target area to the output destination set by the output destination setting unit.

18. 1. A method for energy management of a building, comprising: Obtain the number of people staying in the evaluation area of ​​the building; Obtaining the amount of energy consumed in the evaluation target area; An energy management method for dividing an amount of energy consumed in an evaluation target area based on a number of people staying in the evaluation target area into a first energy consumption feature representing a component correlated with the number of people staying in the evaluation target area and a second energy consumption feature having a weaker correlation with the number of people than the first energy consumption feature.

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