JP2012018521A - Energy management system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an energy management system capable of supporting establishing highly reliable energy saving plan as well as simply reviewing the energy saving plan.SOLUTION: A power integration management center 1 obtains data on energy consumption in a customer building 4 from a pulse integration device 5 and analyzes the data, and transmits the analysis result to an information processing terminal 7 at the customer building 4. The management center 1 calculates a yearly target value of energy consumption amount of the year or later at the customer building 4 based on energy consumption amount at the customer building 4 in a reference year and a target value of an energy reduction ratio to be applied to the year or later following the reference year. The management center 1 further calculates an expected energy consumption amount in a certain year to which an energy saving policy is applied at the customer building 4 based on a actual value obtained at a similar building to which the energy saving policy has been applied; thereby an expected value of energy consumption amount is calculated for each year following the certain year is calculated. A piece of information including the calculation results is transmitted to the information processing terminal 7 and an energy saving plan screen is displayed.

Description

  The present invention relates to an energy management system used for energy management work in a building (building) such as a building, and in particular, energy saving based on the energy consumption status in a target building or the implementation status of energy saving (so-called energy saving) measures. The present invention relates to an energy management system suitable for use in planning.

  Due to the revision of the Energy Conservation Law in 2008, the object of regulation was changed from building units (building units) such as buildings and factories to business units (enterprise units), so multiple buildings owned or used by companies etc. The total energy consumption and energy reduction rate must be managed. Specifically, it is obliged to manage energy usage targets and results across these multiple buildings to reduce energy usage and to regularly report such energy-related information. Penalties will be imposed if the specified reduction in energy usage is not achieved.

  Accordingly, businesses such as companies subject to regulations need to formulate an energy saving plan based on the energy consumption status in each building and the implementation status of energy saving measures. As a conventional technology that supports the creation of such energy-saving plans, statistical data created by acquiring energy-related data at each building can be used to calculate evaluation values for achieving energy usage reduction targets. An energy management system has been proposed (see, for example, Patent Document 1). According to such a conventional technique, when an energy consumption reduction target is not achieved, it can be determined based on the evaluation value what kind of energy saving measure is effective.

JP 2008-102709 A

  However, with the technology disclosed in Patent Document 1, the energy saving effect when applying the energy saving measure cannot always be accurately grasped, especially for the drastic energy saving measure that has no examples in the past in the target building. Since the effect cannot be determined accurately, there is a problem that it is difficult to make a highly reliable energy saving plan. In addition, if additional energy conservation measures are introduced in the year when the energy conservation measures were not planned, or if the planned energy conservation measures are canceled, the energy conservation plans for the following fiscal year must be reviewed. The technique disclosed in No. 1 has a problem that it is difficult to use because it is difficult to easily perform the review work of such an energy saving plan.

  The present invention has been made in view of such a state of the art, and an object of the present invention is to provide an energy management system that can support the creation of a highly reliable energy saving plan and can easily review the energy saving plan. There is to do.

  In order to achieve the above object, the present invention provides an energy management system that supports the drafting of an energy saving plan based on the energy consumption status of a target building, and uses the energy consumption in the base year and the subsequent year of the base year. Target value calculation means for calculating the energy usage target value for each year from the following year on the basis of the target value of the energy reduction rate applied to the energy consumption, and the energy usage predicted for the specific year when the energy-saving measures are applied A predicted value calculating means for calculating an energy usage predicted value for each year after the specific year by calculating the amount based on the actual value in a similar building to which the energy saving measure has been applied; and the target value calculating And a display information generation unit that generates display information for displaying the calculation results of the predicted value calculation unit. .

  In the energy management system with such a system configuration, not only can the target value of energy usage for each year and the predicted value of energy usage when energy-saving measures are applied be calculated, and each calculation result can be displayed, Since the predicted value calculation means uses the actual value in the similar building when calculating the predicted energy usage, it is easy to make a highly reliable energy saving plan. In addition, when changing the schedule for introducing energy-saving measures and reviewing the energy-saving plan, the predicted value calculation means calculates the predicted energy usage for the year after the review, and the actual values in similar buildings are also used at that time. The energy saving plan can be reviewed easily without impairing the reliability.

  In the energy management system described above, the predicted value calculation means includes similar building extraction means for extracting data of similar buildings to which a predetermined energy saving measure has been applied from the database, and the similar building extracted by the similar building extraction means Based on the energy reduction rate in the building, if the predicted amount of energy consumption for a specific year in the target building is calculated, the target value can be obtained by using the energy reduction rate that is the actual value in a similar building. It is preferable because the energy usage expected to be reduced in a specific fiscal year can be predicted with high accuracy. In this case, if the predicted value calculation means sets the average value of the energy reduction rate in a plurality of similar buildings extracted by the similar building extraction means as the energy reduction rate for a specific year in the target building, It is possible to predict with a very high degree of accuracy the energy consumption expected to be reduced in the specific year in the target building.

  In the energy management system having the system configuration including the similar building extracting unit, the total floor area of the similar building extracted by the similar building extracting unit is approximately equal to the total floor area of the target building. Buildings that have a high similarity in energy consumption compared to other buildings will be extracted as similar buildings, so when using actual values in similar buildings to predict energy usage in the target building Increased reliability. In this case, it is preferable that the similar building extracting unit sets the difference between the total floor area of the similar building and the total floor area of the target building within ± 20%.

  In addition, in the energy management system having the system configuration including the similar building extracting means, the energy consumption amount of the previous year when the energy saving measure in the similar building extracted by the similar building extracting means is applied is the target building. If the energy consumption amount or the estimated energy consumption amount of the previous year when the energy-saving measure is applied is almost the same as the predicted value, a building with a high similarity in energy consumption compared to the target building is extracted as a similar building Therefore, the reliability in using the actual value in the similar building for the prediction of the energy consumption in the target building is increased. In this case, the similar building extraction means uses the energy consumption of the previous year when the energy-saving measures at similar buildings are applied and the energy consumption or energy usage of the previous year when the energy-saving measures are applied at the target building. The difference from the predicted value is preferably set within ± 20%.

  In addition, in the energy management system having the system configuration including the similar building extracting unit, the energy reduction data expected for each energy saving measure is stored in advance, and when the similar building extracting unit cannot extract the similar building, the prediction is performed. If the value calculation means calculates an energy usage predicted value for a specific year in which the energy saving measures in the target building are applied based on the energy reduction rate acquired from the energy reduction data, Even when there is no similar building data suitable for the prediction of energy consumption for the year, it is possible to easily carry out drafting and reviewing of energy saving plans while ensuring reliability.

  In the energy management system described above, the target value calculation means uses the energy usage amount in the base year and the first reduction rate target value scheduled to be applied every year for the following year and subsequent year. When the second reduction rate target value, which is different from the first reduction rate target value, is applied to a specific year, the basic target value for the year following the specific year is calculated. If the correction is made, when an arbitrary reduction rate target value (second reduction rate target value) is set for an arbitrary year, the energy usage target value for the following year or later is automatically changed. Therefore, the target value setting work of the energy saving plan can be performed very easily.

  According to the energy management system of the present invention, it is possible to display an energy usage target value for each fiscal year and an energy usage prediction value when an energy saving measure is applied, and a predicted value when calculating the energy usage prediction value. Since the calculation means uses the actual value in a similar building, it becomes easy to make a highly reliable energy saving plan, and it becomes easy to display the energy saving plan on a display screen or the like and have the customer understand it. In addition, when reviewing an energy saving plan, the predicted value calculation means calculates the energy consumption predicted value for the year after the review, so the review work of the energy saving plan can be easily performed without impairing reliability and ease of use. Good.

It is a block diagram which shows the whole structure of the energy management system which concerns on the example of embodiment of this invention. It is a screen display figure which shows an example of the energy-saving plan by this energy management system. It is a screen display figure which shows the other example of the energy-saving plan by this energy management system. It is a screen display figure which shows the further another example of the energy-saving plan by this energy management system. It is a screen display figure which shows the further another example of the energy-saving plan by this energy management system. It is explanatory drawing which shows the item example of the information which an information processing terminal transmits to an electric power integration management center in this energy management system. It is a flowchart which shows the calculation operation | movement of the energy usage-amount target value in this energy management system. It is a flowchart which shows the calculation operation | movement of the energy usage-amount predicted value in this energy management system. It is a flowchart which shows the outline | summary of the calculation operation | movement of the energy reduction rate in this energy management system. It is a flowchart which shows the extraction operation | movement of the similar building in this energy management system. It is a flowchart which shows the judgment operation | movement of the necessity for an emphasis display in this energy management system. It is a functional block diagram which shows the hardware constitutions of the information processing apparatus in this energy management system.

  Embodiments of the present invention will be described below with reference to the drawings. First, the overall configuration of the energy management system according to the present embodiment will be described with reference to FIG.

  This energy management system is a system for managing energy consumed by equipment for a plurality of customer buildings 4. The power integration management center 1 is connected to the customer building 4 via the general line 2 or the Internet 3. Has been. Then, the power accumulation management center 1 acquires and analyzes data related to the energy consumption status of each customer building 4 via the general line 2 and transmits the analysis result to each customer building 4 via the Internet 3. It has become.

  Each customer building 4 is provided with a plurality of energy consumption measuring devices such as a power meter 6 and a gas meter 8, and each measurement result is input to the pulse integrating device 5 as a pulse signal. The pulse integrating device 5 integrates the pulse signals input from these energy consumption measuring instruments to generate pulse data. The pulse data generated in this way is acquired by the power integration management center 1 via the general line 2. Each customer building 4 is provided with an information processing terminal 7 such as a personal computer having an information processing function and a display function. The information processing terminal 7 can display the analysis result transmitted from the power integration management center 1 via the Internet 3. In this embodiment, the case where each customer building 4 is provided with the information processing terminal 7 is illustrated, but a personal computer or the like installed in another building can also be used as the information processing terminal 7. It is.

  As shown in FIG. 1, the power integration management center 1 includes a control device 11, a communication interface 12, a collection device 13, a schedule management device 14, a calculation device 15, a screen creation device 16, and a storage device 17. . Among these, the control apparatus 11 is for controlling the operation | movement of the whole apparatus in the electric power integration management center 1. FIG.

  The communication interface 12 is connected to the pulse integrating device 5 of the customer building 4 via the general line 2 and is connected to the information processing terminal 7 of the customer building 4 via the Internet 3. Send and receive. As described above, in the customer building 4, the measurement results of the wattmeter 6, the gas meter 8, and the like are input to the pulse integrating device 5. Can be sent.

  The collection device 13 collects measured values of energy consumption in the customer building 4. The schedule management device 14 manages the timing at which the collection device 13 collects the measurement values. The computing device 15 computes the target value or predicted value of the energy usage amount in the customer building 4 based on the measured value and other data. The screen creation device 16 generates screen display information that is processed by the arithmetic device 15 or the like and notified to the customer building 4.

  The storage device 17 is a storage medium that stores various types of data including data collected by the collection device 13. As shown in FIG. 1, the storage device 17 includes a customer table, a building table, an annual data table, a reference year table, an annual reduction rate target value table, an annual reduction rate target value table, an energy saving measure table, and an energy saving measure list. A table, an energy saving measure application result table, a predicted value display presence / absence table, and the like are stored.

  The contents of each table will be briefly described. In the customer table, information in which a customer name and a customer number are associated is stored. The building table stores information in which a customer number, building name, building number, total floor area, and the like are associated. The annual data table stores information in which the building number, the year, and the energy usage amount of the year are associated with each other. The measured value of the energy consumption in the customer building 4 collected by the collection device 13 is the year. It is stored in the next data table as the energy usage of the building for the current year. The reference year table stores information in which the building number and the reference year set for the building are associated with each other. The annual reduction rate target value table stores information in which the building number and the annual reduction rate target value are associated with each other. The current year reduction rate target value table stores information in which the building number, the year, and the current year reduction rate target value are associated with each other.

  In addition, the energy saving measure table stores information in which the building number, the year, and the energy saving measure number for which simulation is applied in the year are associated. The energy saving measure list table stores information associated with the name of the energy saving measure, the energy saving measure number, the energy consumption reduction rate due to the energy saving measure, etc., and this energy saving measure list table is used as the energy saving measure information storage unit of the storage device 17. Function. The energy saving measure application result table stores information in which a building number, a year, and an energy saving measure number that has been applied in that year are associated with each other. The predicted value display presence / absence table stores information in which a building number and a predicted value display presence / absence flag for the building are associated with each other.

  In the energy management system having such a system configuration, when the information processing terminal 7 issues a screen request for an energy saving plan screen to the power accumulation management center 1 via the Internet 3, the power accumulation management center 1 displays, for example, FIGS. The information processing terminal 7 can be provided with an energy saving plan screen as shown in FIG. The outline of this series of operations will be described. First, when the information processing terminal 7 makes a screen request for an energy saving plan screen, information by item as shown in FIG. 6 is transmitted to the power integration management center 1. That is, when the information processing terminal 7 makes a screen request, the customer name, the building name, the base year, the annual reduction rate target, the current year reduction rate target, the necessity of displaying the predicted value, the energy saving measure to be applied, the application year of the measure And the like are transmitted to the power integration management center 1.

  In the power accumulation management center 1, based on information received by the communication interface 12, the computing device 15 uses the energy usage target value for each year from the base year to the last display year, and every year from the current year to the last display year Calculate the estimated energy usage of the. In addition, in the energy-saving plan screen illustrated in FIGS. 2 to 5, 10 years after the reference year is set as the final display year.

  Then, based on the information received by the communication interface 12 and the calculation result calculated by the calculation device 15, display information of the energy saving plan screen provided to the customer by the screen creation device 16 of the power integration management center 1 is generated. The information generated by the screen creation device 16 in this way is transmitted from the communication interface 12 to the information processing terminal 7 that is the screen request source via the Internet 3.

  However, when the information processing terminal 7 has a screen generation function similar to that of the screen creation device 16, the display information described as being generated by the screen creation device 16 can be generated by the information processing terminal 7. In that case, the communication interface 12 may transmit the calculation result calculated by the calculation device 15 to the information processing terminal 7.

  Next, the process performed in the power integration management center 1 when a screen request for an energy saving plan screen is received from the information processing terminal 7 will be described in detail. In the power integration management center 1, when the communication interface 12 receives the item-specific information as shown in FIG. 6, the control device 11 searches the customer table of the storage device 17 for the record information that matches the received customer name. Get customer number. Further, the control device 11 retrieves the record information that matches the customer number and the building name from the building table of the storage device 17 to acquire the building number, and stores the record information that matches the received application measure in the storage device 17. Search the energy saving measure list table and obtain the energy saving measure number and the energy consumption reduction rate. Further, the control device 11 stores the received reference year, annual reduction rate target, current year reduction rate target, prediction value display necessity information, acquired energy saving measure number and application year information, respectively, in the storage device 17 as a reference. Stored in the year table, annual reduction rate target value table, current year reduction rate target value table, predicted value display presence / absence table, and energy saving measure table. After storing the information in this way, the control device 11 controls the calculation device 15 to calculate the energy usage target value for each year from the reference year to the last display year.

Next, the calculation process of the energy usage target value displayed on the energy saving plan screen will be described with reference to the flowchart of FIG. This flowchart shows a processing process in which the arithmetic device 15 calculates a target value according to the control of the control device 11. First, the arithmetic unit 15 acquires the reference year used for the graph display from the reference year table of the storage device 17 (step S701), and then stores the energy usage data of the reference year from the annual data table of the storage device 17. Is acquired (step S702). Thereafter, the computing device 15 computes a basic target value for each year of energy usage based on the data acquired from the annual reduction rate target value table of the storage device 17 using the following equation (1) (step S703). ) In other words, if the annual reduction rate target value to be applied every year is R (%), the “basic target value for the Nth year from the base year” is
(Energy consumption in the base year) x (1-N · R / 100) (1)
Represented as: After calculating the basic target value for the Nth year from the reference year in this way, the arithmetic unit 15 determines whether or not the current year reduction rate target value is stored in the current year reduction rate target value table of the storage device 17 (step S704). If the current year reduction rate target value is not stored (step S704 / NO), the basic target value for each year calculated in step S703 is set as the energy usage target value, and the process ends.

On the other hand, when the arithmetic unit 15 determines that the current year reduction rate target value is stored in step S704 (step S704 / YES), based on the basic target value calculated in step S703 and the current year reduction rate target value, An energy usage target value for each year is calculated (step S705). In this step S705, the energy usage target value E0 for the current year is calculated using the following equation (2), and the energy usage target value for the following year of the current year is calculated using the following equation (3). To do. In other words, if the current year is the nth year from the base year, and the current year reduction rate target value is r (%), then “energy usage target value E0 for the current year”
(Basic target value for the previous year)-(Energy consumption for the base year) x (r / 100) (2)
Represented as: In addition, the target value of energy consumption for the following year of the current year is N years from the base year (where N> n).
E0− (N−n) × (E0−basic target value for the last displayed year) / (number of displayed years−n) (3)
Represented as: The arithmetic unit 15 calculates the energy usage target value for the current year and the following year using these formulas (2) and (3), and the energy usage target value for the previous year of the current year is expressed by the formula The basic target value calculated in (1) is applied, and the process ends. Since the calculation processing of the energy usage target value is completed in this way, in this embodiment, the calculation device 15 functions as target value calculation means for calculating the energy usage target value for each year.

  When the calculation processing of the energy usage target value is completed, the control device 11 controls the calculation device 15 to calculate the predicted energy usage for each year. The flowchart of FIG. 8 shows a process in which the calculation device 15 calculates a predicted value displayed on the energy saving plan screen according to the control of the control device 11. First, the computing device 15 refers to the energy saving measure table in the storage device 17 and determines whether or not the energy saving measure is applied in the year to be calculated (step S801).

When the computing device 15 determines in step S801 that the energy saving measure is applied in the calculation target year (step S801 / YES), the reduction rate of the energy consumption expected by the energy saving measure is calculated (step S802). Details of the processing performed in step S802 will be described later (see FIG. 9). In the next step S803, based on the reduction rate (%) calculated in step S802, the following equation (4) is used. Calculate the energy usage forecast for the year. In other words, the “predicted energy consumption amount for the calculation target year” is
(Energy consumption in the previous year)-(Energy consumption in the base year) x (Reduction rate expected by energy saving measures / 100) ... (4)
Represented as: In addition, in Formula (4), when the energy usage amount of a corresponding previous year is not memorize | stored in the annual data table of the memory | storage device 17, the energy usage amount prediction value of the year is substituted.

  In addition, when the computing device 15 determines in step S801 that the energy saving measure is not applied in the fiscal year to be computed (step S801 / NO), the “energy usage of the previous year” in the equation (4) is directly “ The calculation target year energy consumption predicted value ”is set (step S804). This corresponds to the case where the “reduction rate expected by the energy saving measure” in the equation (4) is zero. In this way, the arithmetic unit 15 calculates the predicted energy usage amount for each year in step S803 or step S804, and ends the process. Therefore, in this embodiment, the arithmetic unit 15 also functions as a predicted value calculation unit that calculates a predicted energy usage amount for each year.

FIG. 9 is a flowchart showing an outline of the reduction rate calculation operation performed in step S802. In other words, when calculating the reduction rate of energy consumption that can be expected by energy saving measures applied in a specific year, first extract similar buildings that have already applied the energy saving measures applied to the target building (target building). (Step S901). The details of the process performed in step S901 will be described later (see FIG. 10). In the next step S902, it is determined whether or not there are one or more similar building extraction results in step S901. If it is determined that one or more extraction results exist (step S902 / YES), the “energy consumption reduction rate after application of energy saving measures in similar buildings” is calculated using the following equation (5). This reduction rate (%) is the actual value of the energy-saving measures in similar buildings,
100- (Energy usage in the year when the energy-saving measure is applied in a similar building / Energy usage in the previous year when the energy-saving measure is applied in a similar building) × 100 (5)
Represented as: If the energy consumption reduction rates of all the extracted similar buildings are calculated by the equation (5), next, the average value of these calculation results is calculated (step S904). If no similar building is extracted in step S902 (step S902 / NO), the energy consumption reduction rate prescribed for the energy saving measure is acquired from the energy saving measure list table in the storage device 17 (step S905). To do.

  FIG. 10 is a flowchart showing the similar building extraction operation performed in step S901. That is, when extracting a similar building, first, as an extraction condition, the content of the energy saving measure to be applied and the target building to which the application of the energy saving measure is simulated are input (step S1001). And the sample building which has applied the said energy saving measure in the past is extracted from the energy saving measure application performance table of the memory | storage device 17 (step S1002). In the next step S1003, it is determined whether or not one or more extraction results in step S1002 exist, and if none is extracted (step S1003 / NO), the extraction result of similar buildings is zero. To finish the process.

  Further, when it is determined that there is one or more extraction results in step S1002 (step S1003 / YES), the difference in the total floor area is ± in comparison with the target building among the sample buildings extracted in step S1002. Buildings within 20% are narrowed down and extracted (step S1004). If many customer buildings 4 are dispersed in a wide area, another extraction condition may be added in step S1004. For example, an extraction condition that the weather conditions are approximately the same area, an extraction condition that the building usage (office, store, hospital, etc.) is equivalent are added to the extraction condition that the total floor area is approximately the same. By doing so, it is possible to extract a building that can be expected to have high similarity to the target building in terms of energy consumption.

  In the next step S1005, it is determined whether or not there are one or more extraction results in step S1004. If none is extracted (step S1005 / NO), the extraction result in step S1002 is a similar building. (Building in which the energy saving measure has been applied in the past) is adopted (step S1006), and the process is terminated.

  Also, if it is determined that there is one or more extraction results in step S1004 (step S1005 / YES), that is, the energy saving measure has been applied in the past, and the total floor area is similar to the target building (the difference is If one or more buildings within ± 20% are extracted, the sample buildings extracted in step S1004 are further narrowed down and extracted based on the energy usage data (step S1007). The extraction conditions in this step S1007 are the energy consumption of the previous year when the energy saving measure is applied to the sample building extracted in step S1004 and the energy consumption (or energy consumption) of the previous year when the energy saving measure is applied to the target building. The difference with the predicted amount of use) is to extract buildings within ± 20%.

  In the next step S1008, it is determined whether or not there are one or more extraction results in step S1007. If none is extracted (NO in step S1008), the extraction result in step S1004 is a similar building. In other words, a building whose total floor area is similar to the target building (difference is within ± 20%) because the energy saving measure has been applied in the past is adopted (step S1009), and the process is terminated.

  If it is determined that there is one or more extraction results in step S1007 (step S1008 / YES), that is, the energy saving measure has been applied in the past and the total floor area is similar to the target building (the difference is If one or more buildings that are similar to the target building (difference is within ± 20%) are extracted, the Adopting as a similar building (step S1010), the process is terminated.

  In this way, after calculating the energy usage prediction value when the energy saving measure is applied in the target building using the actual value in the similar building, the arithmetic unit 15 calculates the current year in which the energy saving measure is applied. It is determined whether or not highlighting is necessary when graphing subsequent predicted energy usage. In other words, when graphing an energy conservation plan, it is important to clearly indicate whether the predicted value is below the target value for each fiscal year, and if the predicted value exceeds the target value, some improvement It is necessary to take measures. Therefore, in this embodiment, the arithmetic unit 15 performs an operation for determining whether or not highlighting is necessary according to the flowchart of FIG. As shown in FIG. 11, the arithmetic device 15 first compares the energy usage target value calculated according to the flowchart of FIG. 7 with the energy usage predicted value calculated according to the flowchart of FIG. 8 (step S1101). . If the predicted energy usage amount is equal to or less than the target energy usage value (step S1101 / NO), the process is terminated without setting highlighting. However, if the predicted energy usage is larger than the target energy usage (step S1101 / YES), the predicted value for the year is designated to be highlighted on the graph (step S1102), and the process ends. To do. Such processing is performed individually for each year's forecast value.

  Information for generating an energy saving plan screen is prepared by causing the arithmetic device 15 to perform the above-described operations under the control of the control device 11. Based on these pieces of information, the screen creation device 16 generates an energy saving plan screen in the power integration management center 1. That is, the screen creation device 16 receives the information received by the communication interface 12 from the information processing terminal 7 and stored in the storage device 17, the information acquired by the processing of FIGS. 7 to 11, and the annual data in the storage device 17. The energy saving plan screen is generated based on the information on the energy consumption up to the previous year stored in the table. Accordingly, in the present embodiment example, the screen creation device 16 functions as a display information generation unit.

  Next, a specific example of an energy saving plan designed by the energy management system according to the present embodiment will be described. FIG. 2 is a screen display diagram showing an example of the energy saving plan, and shows an image displayed on the display screen by operating the information processing terminal 7 of the customer building 4. In the screen display example shown in FIG. 2, the base year is 2009, the current year is 2010, the annual reduction rate target is 1%, the current year reduction rate target is not specified, and whether the predicted value graph display is necessary or not is applied. The policy is not specified. In FIG. 2, when the button 68 for commanding the graph display is turned on, the information processing terminal 7 pulls down the building name and the reference year pull-downs 63, 64, the annual reduction rate target and the current year reduction rate target text boxes 65, 66. The information (including “no designation” and “no check”) input in advance in the check box 67 for necessity of displaying the predicted value graph, the pull-down 610a to 610k of the applied measures, etc. Send to. In the power integration management center 1, the communication interface 12 receives the information transmitted from the information processing terminal 7, and generates display information of the energy saving plan screen under the setting conditions based on the received content under the control of the control device 11. Then, the display information of the energy saving plan screen generated in this way is transmitted from the communication interface 12 to the information processing terminal 7, and the energy saving plan is displayed on the display screen of the information processing terminal 7. In FIG. 2, reference numerals 61 a to 61 k indicate energy usage target values for each fiscal year, and reference numeral 62 a indicates an actual energy usage actual value for the base year. Therefore, for the base year, the target value is assumed to be the same as the actual value.

  FIG. 3 is a screen display diagram showing another example of the energy saving plan, and parts corresponding to those in FIG. In the screen display example shown in FIG. 3, the base year is 2009, the current year is 2010, the annual reduction rate target is 1%, the current year reduction rate target is 3%, and whether or not the predicted value graph display is necessary or not is applied. The policy is not specified. That is, in this screen display example, the target value for the short-term reduction rate (current year reduction rate target) to be achieved in the current fiscal year (fiscal 2010) is specified. Subsequent energy usage target values 61b to 61k are changed. In this way, the energy usage target value 61b for the current year can be freely changed, and the energy usage target value for the following fiscal year is automatically changed accordingly. Very easy to do.

  FIG. 4 is a screen display diagram showing still another example of the energy saving plan, and parts corresponding to those in FIG. In the screen display example shown in FIG. 4, the base year is 2009, the current year is 2010, the annual reduction rate target is 1%, the current reduction rate target is not specified, the necessity of displaying the predicted value graph is required, The energy-saving measures applied in FY2010) are intermittent operation of the air conditioner, the energy-saving measures applied in FY2014 are high-efficiency LED lighting, and the energy-saving measures applied in FY2017 are high-efficiency packaged air conditioners. That is, in this screen display example, since it is necessary to display the predicted value graph, the energy usage predicted values 62b to 62k for each year after the current year are displayed. These energy usage predicted values are calculated by the above-described calculation processing according to the energy saving measure to be applied. Therefore, after changing the content of the energy saving measure to be applied and its application year, a button 68 for instructing the graph display. If is turned on, an energy saving plan screen is newly displayed under the changed conditions. Therefore, the energy usage predicted value for each year can be accurately grasped by comparison with the energy usage target value, and the review work of the energy saving plan can be easily performed, which is convenient.

  FIG. 5 is a screen display diagram showing still another example of the energy saving plan, and parts corresponding to those in FIG. In the screen display example shown in FIG. 5, the base year is 2009, the current year is 2010, the annual reduction rate target is 1%, the current year reduction rate target is not specified, the necessity of displaying the predicted value graph is necessary, The energy saving measure applied in FY2010) is intermittent operation of the air conditioner, and the energy saving measure applied in FY2014 is high-efficiency LED lighting. That is, in this screen display example, since the energy usage predicted values 62i to 62k in the fiscal year 2017 to 2019 exceed the energy usage target values 61i to 61k, respectively, these predicted values 62i to 62k are highlighted. Being conspicuous on the screen. As a result, for example, as shown in the screen display example of FIG. 4, it is immediately determined that some kind of energy saving measure should be introduced in FY2017. The method of highlighting is not particularly limited. For example, the predicted value graph of the corresponding year may be blinked, or the predicted value graph may be colored with a color different from the predicted value graphs of other years.

  As described above, in the energy management system according to the present embodiment, the information processing terminal 7 of the customer building 4 that is the target building is operated to input the energy saving measure, the application year, and the like, and the input data is integrated with the power. By transmitting to the management center 1, the energy-saving plan screen produced | generated in the electric power integration management center 1 is displayed on the display screen of the information processing terminal 7 (refer FIGS. 2-5). Then, in the process of generating the energy saving plan screen, the power integration management center 1 calculates the energy usage target value for each year and the energy usage predicted value when the energy saving measure is introduced, Since the calculation result can be displayed, the predicted value can be accurately grasped by comparison with the target value. In addition, since the power accumulation management center 1 uses the actual value in the similar building when calculating the predicted energy usage, it is easy to make a highly reliable energy saving plan. In addition, when reviewing the energy saving plan by changing the introduction plan of the energy saving measures, the power integration management center 1 calculates the predicted energy usage amount after the revised year, and the actual value in the similar building is also used at that time. Therefore, the review work of the energy saving plan can be easily performed without impairing the reliability. In this embodiment, since a GUI (Graphical User Interface) as shown in FIG. 2 to FIG. 5 is used, various energy saving plans can be easily made by a simple operation on the information processing terminal 7. .

  In addition, in the energy management system according to the present embodiment example, the same energy-saving measure application results as the energy-saving measure applied to the target building are used as the extraction condition of the similar building used when calculating the predicted energy usage of the target building. In addition to this, since the condition that the amount of energy used and the total floor area are substantially the same as that of the target building is added, the similarity of the energy consumption status between the target building and the similar building is high. Therefore, it is possible to predict with high accuracy the amount of energy used when the energy saving measure is applied to the target building.

  In addition, in the energy management system according to this embodiment, when similar buildings cannot be extracted, the energy usage amount of the target building is predicted using data for each energy saving measure stored in the storage device 17 in advance. Even when there is no data of a suitable similar building, it is possible to easily perform the energy saving plan and the review work while ensuring the reliability.

  In this embodiment, the case where the power integration management center 1 includes a plurality of devices 11 to 17 as shown in FIG. 1 has been described. However, the functions of these devices are realized by a server, a personal computer, or the like. Therefore, a single information processing apparatus having both of these functions may be provided in the power integration management center 1. FIG. 12 is a functional block diagram for explaining the hardware configuration of such a single information processing apparatus. However, the hardware configuration of the information processing terminal 7 provided in the customer building 4 can also be represented by a similar functional block diagram.

  As shown in FIG. 12, in this information processing apparatus, a CPU (Central Processing Unit) 71, a RAM (Randam Access Memory) 72, a ROM (Read Only Memory) 73, an HDD (Hard Disk Drive) 74, and an I / F ( Interface) 75 is connected via a bus 78. The CPU 71 is a calculation means and controls the operation of the entire information processing apparatus. The RAM 72 is a volatile storage medium capable of reading and writing information at high speed, and is used as a work area when the CPU 71 processes information. The ROM 73 is a read-only nonvolatile storage medium, and stores programs such as firmware. The HDD 74 is a nonvolatile storage medium capable of reading and writing information, and stores an OS (Operating System), various control programs, application programs, and the like. The I / F 75 controls connection between the bus 78 and various hardware and networks. An LCD (Liquid Crystal Display) 76 is a user interface for the user to visually confirm the state of the information processing apparatus. The operation unit 77 is a user interface for the user to input information by operating the information processing apparatus, and specifically includes a keyboard and a mouse. However, in the case of the information processing apparatus provided in the power accumulation management center 1, the user does not directly operate the apparatus, and thus the user interface such as the LCD 76 and the operation unit 77 can be omitted.

  In such a hardware configuration, under the control of the CPU 71, a program stored in a storage medium such as the ROM 73, the HDD 74, or an optical disk (not shown) is read into the RAM 72, and a software control unit is configured. And the function equivalent to each apparatus 11-17 mentioned above is implement | achieved by the combination of this software control part and various hardware.

1 Power Accumulation Management Center 2 General Line 3 Internet 4 Customer Building 5 Pulse Accumulation Device 6 Wattmeter 7 Information Processing Terminal 8 Gas Meter 11 Control Device 12 Communication Interface 13 Collection Device 14 Schedule Management Device 15 Arithmetic Device 16 Screen Creation Device 17 Storage Device 61b-61k Target value for energy use 62b-62k Expected value for energy use 63 Pull-down of building name 64 Pull-down for base year 65 Text box for target annual reduction rate 66 Text box for target annual reduction rate 610a-610k

Claims (9)

In the energy management system that supports the drafting of energy saving plans based on the energy consumption status of the target building,
A target value calculating means for calculating an energy usage target value for each year after the next year based on an energy usage amount of the reference year and a target value of an energy reduction rate applied after the next year of the reference year;
By calculating the energy usage predicted for a specific year when energy-saving measures are applied based on the actual values of similar buildings to which the energy-saving measures have been applied, energy consumption forecasts for each year after the specified year Predicted value calculation means for calculating a value;
An energy management system comprising: a display information generation unit that generates display information for displaying respective calculation results of the target value calculation unit and the predicted value calculation unit.   2. The predictive value calculating means according to claim 1, wherein said predictive value calculating means includes similar building extracting means for extracting data of similar buildings to which a predetermined energy saving measure has been applied from the database. An energy management system characterized in that, based on an energy reduction rate in the similar building, a predicted energy usage amount for the specific year in the target building is calculated.   The said prediction value calculation means sets the average value of the energy reduction rate in the said some similar building extracted by the said similar building extraction means as an energy reduction rate of the said specific year in the object building in Claim 2 An energy management system characterized by that.   4. The energy management system according to claim 2, wherein a total floor area of the similar building extracted by the similar building extraction unit is substantially equal to a total floor area of the target building.   5. The energy management according to claim 4, wherein the similar building extraction means sets a difference between the total floor area of the similar building and the total floor area of the target building within ± 20%. system.   6. The energy saving measure according to claim 2, wherein the energy usage amount of the previous year to which the energy saving measure in the similar building extracted by the similar building extracting unit is applied is the target building. An energy management system characterized by being substantially equivalent to the energy consumption amount or the predicted value of energy consumption in the previous year to which is applied.   7. The similar building extracting means according to claim 6, wherein the similar building extracting means uses the energy consumption of the previous year when the energy saving measure is applied in the similar building and the energy usage of the previous year when the energy saving measure is applied to the target building. The energy management system is characterized in that the difference from the amount or the predicted amount of energy use is set within ± 20%.   8. The prediction value calculating unit according to claim 2, wherein energy reduction data expected for each energy saving measure is stored in advance, and the similar building extracting unit cannot extract the similar building. However, based on the energy reduction rate acquired from the energy reduction data, an energy usage prediction value for the specific year in the target building is calculated.   9. The next year according to claim 1, wherein the target value calculation means is based on an energy consumption amount of the base year and a first reduction rate target value to be applied every year. The basic target value of energy consumption for each subsequent fiscal year is calculated, and when a second reduction rate target value that is different from the first reduction rate target value is applied to the specific year, the specific year An energy management system characterized in that the basic target values for the following year are corrected.

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