WO2013099033A1 - エネルギー使用量推定装置及びエネルギー使用量推定方法 - Google Patents
エネルギー使用量推定装置及びエネルギー使用量推定方法 Download PDFInfo
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- WO2013099033A1 WO2013099033A1 PCT/JP2011/080527 JP2011080527W WO2013099033A1 WO 2013099033 A1 WO2013099033 A1 WO 2013099033A1 JP 2011080527 W JP2011080527 W JP 2011080527W WO 2013099033 A1 WO2013099033 A1 WO 2013099033A1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R21/00—Arrangements for measuring electric power or power factor
- G01R21/06—Arrangements for measuring electric power or power factor by measuring current and voltage
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R21/00—Arrangements for measuring electric power or power factor
- G01R21/133—Arrangements for measuring electric power or power factor by using digital technique
- G01R21/1331—Measuring real or reactive component, measuring apparent energy
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- the present invention relates to a technique for estimating the energy usage of individual electrical equipment from the total energy usage used by a plurality of different types of electrical equipment.
- Patent Document 1 proposes an energy allocation calculation device that estimates the amount of energy consumed by each device from the amount of energy consumed by the plurality of devices as a whole.
- This energy allocation calculation apparatus measures a time change of the energy consumption amount by the first database storing the individual consumption pattern indicating the time change of the energy consumption amount for each of the plurality of devices, and the whole of the plurality of devices.
- a distribution calculation unit configured to estimate individual consumption time-series data indicating a temporal change in the amount of energy consumed by each device based on the selected individual consumption pattern and the total consumption time-series data;
- Patent Document 1 it is necessary to extract an individual consumption pattern indicating a temporal change in the amount of energy consumption in advance and register it in the first database for each device to be individually measured.
- a large number of devices such as buildings, factories, and commercial facilities, it is not easy to prepare a consumption pattern for each device. Therefore, in reality, it is desired to develop a technology that can easily estimate the amount of energy used for each type of electrical equipment by a new method.
- the present invention has been made in view of the above circumstances, and it is possible to easily and accurately estimate the energy usage amount of each electrical equipment from the total amount of energy usage used by a plurality of different types of electrical equipment.
- An object is to provide an energy usage estimation device and an energy usage estimation method.
- an energy use amount estimation device includes: Based on the current and voltage measured at a predetermined location in the power supply line, a power measurement unit that calculates active power and apparent power every predetermined time based on the use of a plurality of types of electrical equipment connected to the power supply line; A data storage unit for accumulating and storing data on active power and apparent power calculated by the power measurement unit in a time series; Analyzing the data related to the active power for a predetermined period stored in the data storage unit, a fluctuation detecting unit for detecting a time zone in which there is an operation change in any of the electrical equipment, When the time zone is detected by the fluctuation detection unit, the power factor in the time zone is calculated, and based on the calculated power factor and a threshold set in advance according to the type of the electrical equipment, A distribution estimation unit that estimates power consumption for each type of electrical equipment in a time zone.
- the data relating to the measured active power for a predetermined period is analyzed, and the time zone in which the operation change has occurred in any of the electrical facilities is detected. Then, the power factor in the detected time zone is calculated, and the power consumption for each type of electrical equipment in the time zone is calculated based on the calculated power factor and a threshold value set in advance according to the type of electrical equipment. presume. For this reason, it becomes possible to estimate the energy usage of each of a plurality of types of electrical equipment easily and accurately.
- FIG. 2 is a block diagram illustrating a configuration of a main body according to the first embodiment. It is a figure for demonstrating the fluctuation
- FIG. It is a figure for demonstrating a power factor.
- 4 is a flowchart illustrating a procedure of power consumption estimation processing executed by the main body of the first embodiment.
- 6 is a block diagram illustrating a configuration of a main body according to a second embodiment.
- FIG. 2 is a block diagram illustrating a configuration of a main body according to the first embodiment. It is a figure for demonstrating the fluctuation
- FIG. 2 is a block diagram illustrating a configuration of a main body according to the first embodiment. It is a figure for demonstrating the fluctuation
- FIG. 2 is a block diagram illustrating a configuration of a main body
- FIG. 10 is a block diagram illustrating a configuration of a main body according to a third embodiment.
- FIG. 1 is a block diagram showing a configuration of an energy usage estimation device 1 according to Embodiment 1 of the present invention.
- the energy usage estimation device 1 includes a main body 10, an instrument transformer 20, and an instrument current transformer 30.
- the energy usage amount estimation device 1 is a device that is installed in, for example, a building, a factory, a commercial facility, or the like (hereinafter referred to as a building or the like) and estimates the energy usage amount of each electrical equipment used in the building or the like.
- the energy usage estimation device 1 is installed in the vicinity of the distribution board 2 in a demand area such as a building and consumed by the lighting equipment 40 and the air conditioning equipment 50 used in the building or the like. Measure the total power.
- the lighting facility 40 is composed of a plurality of lighting devices
- the air conditioning facility 50 is composed of a plurality of air conditioning devices (one or more outdoor units and a plurality of indoor units). Since the lighting equipment 40 and the air conditioning equipment 50 do not use energy other than electric power, the total power consumption is equivalent to the total energy consumption (energy consumption) of the lighting equipment 40 and air conditioning equipment 50.
- the distribution board 2 is connected to an electric power system such as an electric power company through a service line 4.
- the distribution board 2 is connected to a power supply line 6 for supplying power to the lighting equipment 40 and the air conditioning equipment 50.
- the instrument transformer 20 includes an A phase instrument transformer 201a, a B phase instrument transformer 201b, and a C phase instrument transformer 201c.
- the instrument current transformer 30 includes an A-phase instrument current transformer 301a, a B-phase instrument current transformer 301b, and a C-phase instrument current transformer 301c.
- the instrument transformer 201a has a primary side connected between the A phase 4a and the B phase 4b, and outputs a voltage VA similar to the voltage between the A phase 4a and the B phase 4b from the secondary side.
- the secondary side of the instrument transformer 201a is connected to the main body 10 through a connection line 202a such as a coaxial cable.
- the instrument transformer 201b has a primary side connected between the B phase 4b and the C phase 4c, and outputs a voltage VB similar to the voltage between the B phase 4b and the C phase 4c from the secondary side.
- the secondary side of the instrument transformer 201b is connected to the main body 10 via a connection line 202b such as a coaxial cable.
- the instrument transformer 201c has a primary side connected between the C phase 4c and the A phase 4a, and outputs a voltage VC similar to the voltage between the C phase 4c and the A phase 4a from the secondary side.
- the secondary side of the instrument transformer 201c is connected to the main body 10 via a connection line 202c such as a coaxial cable.
- the instrument current transformer 301a measures the current flowing in the A phase 4a on the primary side and outputs a current IA similar to the A phase current from the secondary side.
- the secondary side of the instrument current transformer 301a is connected to the main body 10 via a connection line 302a such as a coaxial cable.
- the instrument current transformer 301b measures the current flowing in the B phase 4b on the primary side and outputs a current IB similar to the B phase current from the secondary side.
- the secondary side of the instrument current transformer 301b is connected to the main body 10 via a connection line 302b such as a coaxial cable.
- the instrument current transformer 301c measures the current flowing through the C phase 4c on the primary side and outputs a current IC similar to the C phase current from the secondary side.
- the secondary side of the instrument current transformer 301c is connected to the main body 10 through a connection line 302c such as a coaxial cable.
- a connection line 302c such as a coaxial cable.
- an instrument current transformer having a through-type or clamp-type structure is adopted as the instrument current transformers 301a, 301b, 301c.
- the main unit 10 includes a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM (Random Access Memory), a readable / writable semiconductor memory such as a flash memory, a predetermined communication interface, etc. (Not shown).
- the main body 10 functionally includes a power measurement unit 11, a data storage unit 12, a fluctuation detection unit 13, a distribution estimation unit 14, and a data communication unit 15. Prepare. The functions of these functional units are realized by the CPU executing one or more predetermined programs stored in the ROM or semiconductor memory.
- the power measuring unit 11 extracts data for one period of the commercial frequency of the total load current based on the voltage and current output from the instrument transformer 20 and the instrument current transformer 30, and calculates the power for each period. measure. Further, the power measuring unit 11 integrates this for one minute (120 periods in the case of a commercial frequency of 50 Hz), and calculates the average value of active power for one minute. Moreover, the electric power measurement part 11 also calculates the average value of apparent power for 1 minute.
- Apparent power (S) is the product of the effective value of voltage (V) and the effective value of current (I) as shown in Equation 1.
- P is active power and Q is reactive power.
- the power measurement unit 11 accumulates and stores data (active power data and apparent power data) related to the calculated average values in the data storage unit 12 in time series.
- the fluctuation detection unit 13 analyzes active power data for a predetermined period stored in the data storage unit 12 and detects a time zone in which at least one of the lighting equipment 40 and the air conditioning equipment 50 has changed operation. . More specifically, the fluctuation detection unit 13 is activated at a predetermined timing (for example, every predetermined time), and from the active power data for a predetermined period (for example, 24 hours) stored in the data storage unit 12, As shown in FIG. 4, an average value is calculated every predetermined time (for example, 30 minutes). And the fluctuation
- the fluctuation detection unit 13 compares the absolute value of the obtained difference value (active power difference value) with a preset threshold value (active power difference threshold value), and notifies the distribution estimation unit 14 of the result (variation detection result). To do.
- the absolute value of the active power difference value becomes larger than the active power difference threshold value, the operation is started or stopped in at least one of the lighting equipment 40 and the air conditioning equipment 50.
- a value that can be considered as a value is set. In this case, for example, when the active power difference value is a positive value, it indicates that at least one of the lighting equipment 40 and the air conditioning equipment 50 has started operation.
- the active power difference value is a negative value, it indicates that at least one of the lighting equipment 40 and the air conditioning equipment 50 has been stopped.
- the distribution estimation unit 14 estimates the operating status (started, stopped, operating) of each of the lighting equipment 40 and the air conditioning equipment 50 in a target time zone (a time zone corresponding to the above average value focused on).
- the power factor is the ratio of the effective power to the apparent power, and it is known that the power factor is almost 100% in an electric device that hardly generates reactive power (Q) such as a lighting device.
- Q reactive power
- the power factor of an air conditioner is about 60 to 75%.
- the distribution estimation unit 14 estimates the operating status of each of the lighting equipment 40 and the air conditioning equipment 50 in the target time zone according to the above principle, and based on the estimation result, the lighting equipment 40 in the target time zone. And the power consumption of each of the air conditioning equipment 50 is estimated.
- the process executed by the distribution estimation unit 14 will be described more specifically.
- the distribution estimation unit 14 calculates the apparent power difference ⁇ Sa, and the target The power factor (cos ⁇ ) in the time zone is calculated. And the distribution estimation part 14 compares the calculated power factor with said 1st threshold value (threshold value for air-conditioning equipment).
- the first threshold is set to 0.75, for example.
- the distribution estimation unit 14 adds the effective power difference value to the previous power consumption of the air conditioning equipment 50 (estimated power consumption of the air conditioning equipment 50 in the previous time zone). Is the power consumption (estimated power consumption) of the air conditioning facility 50 in the time period. That is, in this case, the distribution estimation unit 14 regards that the operation change (start or stop) of the air conditioning equipment 50 has occurred during the time period.
- the distribution estimation unit 14 compares the calculated power factor with the second threshold (threshold for lighting equipment).
- the second threshold is set to 0.85, for example.
- the distribution estimation unit 14 adds the effective power difference value to the previous power consumption of the lighting equipment 40 (estimated power consumption of the lighting equipment 40 in the previous time zone). The result of adding is used as the power consumption (estimated power consumption) of the lighting equipment 40 in the time period. In other words, in this case, the distribution estimation unit 14 regards that the operation of the lighting facility 40 has changed during the time period.
- the distribution estimation unit 14 When the power factor is greater than or equal to the first threshold and less than or equal to the second threshold, the distribution estimation unit 14 adds 1/2 of the effective power difference value to the previous estimated power consumption of the lighting equipment 40, and the result Is the estimated power consumption of the lighting equipment 40 during the time period. Moreover, the distribution estimation part 14 adds 1/2 of the said active power difference value to the previous estimated power consumption of the air conditioning equipment 50, and makes the result the estimated power consumption of the air conditioning equipment 50 in the said time slot
- the distribution estimation unit 14 When the fluctuation detection result notified from the fluctuation detection unit 13 indicates that the absolute value of the active power difference value is equal to or less than the active power difference threshold, the distribution estimation unit 14 is in any of the lighting equipment 40 and the air conditioning equipment 50. , It is assumed that there has been no change in operation (that is, operation or stoppage). Therefore, the distribution estimation unit 14 calculates the respective estimated power consumption according to the previous operating state of each of the lighting equipment 40 and the air conditioning equipment 50. For example, when the lighting equipment 40 is operating and the air conditioning equipment 50 is not operating in the previous time zone, the distribution estimation unit 14 sets the effective power difference value to the previous estimated power consumption of the lighting equipment 40. The added result is assumed to be the estimated power consumption of the lighting equipment 40 in the time zone. In this case, the distribution estimation unit 14 sets the estimated power consumption of the air conditioning equipment 50 in the time zone to zero.
- the distribution estimating unit 14 calculates the previous estimated power consumption of the air conditioning equipment 50.
- the result of adding the active power difference value is set as the estimated power consumption of the air conditioning equipment 50 in the time zone.
- the distribution estimation unit 14 sets the estimated power consumption of the lighting equipment 40 in the time zone to zero.
- the distribution estimation unit 14 calculates 1/2 of the effective power difference value from the previous estimated power consumption of the lighting equipment 40. The result is used as the estimated power consumption of the lighting equipment 40 in the time period. Moreover, the distribution estimation part 14 adds 1/2 of the said active power difference value to the previous estimated power consumption of the air conditioning equipment 50, and makes the result the estimated power consumption of the air conditioning equipment 50 in the said time slot
- the distribution estimation unit 14 sets the estimated power consumption of each of the lighting equipment 40 and the air conditioning equipment 50 in the time zone to 0. To.
- the distribution estimation unit 14 stores the estimated power consumption of the lighting equipment 40 and the air conditioning equipment 50 obtained as described above in the data storage unit 12 in time series.
- the data transmission unit 15 communicates with another system (not shown), and collects data obtained by collecting and measuring the data for a predetermined period (for example, 24 hours) stored in the data storage unit 12 at a predetermined timing. Send to the system.
- the transmission timing is an arbitrary design matter, and may be, for example, when there is a request for data transmission from another system or every predetermined period (for example, 24 hours).
- FIG. 6 is a flowchart showing a procedure of power consumption estimation processing executed by the main body 10 of the energy usage estimation device 1 configured as described above. This process is executed at a predetermined timing (for example, every day at midnight).
- the fluctuation detection unit 13 reads active power (power consumption) data for a predetermined period (for example, 24 hours) from the data storage unit 12 (step S101).
- the fluctuation detector 13 calculates an average value for each predetermined time from the read active power data for a predetermined period (step S102). And the fluctuation
- the distribution estimation unit 14 calculates the power factor (cos ⁇ ) in the target time zone (step S105).
- the distribution estimation unit 14 determines whether or not the calculated power factor is smaller than a first threshold (for example, 0.75) (step S106).
- a first threshold for example, 0.75
- the distribution estimation unit 14 adds the active power difference value to the previous estimated power consumption of the air conditioning equipment 50, and the result is obtained.
- the value is assumed to be the estimated power consumption of the air conditioning facility 50 in the time zone (step S107). Thereafter, the processing of the distribution estimation unit 14 proceeds to step S111.
- step S106 when the power factor is greater than or equal to the first threshold (step S106; NO), the distribution estimation unit 14 determines whether or not the power factor is greater than a second threshold (for example, 0.85) (step S108). .
- a second threshold for example, 0.85
- step S108 when the power factor is larger than the second threshold (step S108; YES), the distribution estimation unit 14 adds the effective power difference value to the previous estimated power consumption of the lighting equipment 40, and the result is obtained. The value is assumed to be the estimated power consumption of the lighting equipment 40 in the time zone (step S109). Thereafter, the processing of the distribution estimation unit 14 proceeds to step S111.
- the distribution estimation unit 14 uses 1 ⁇ 2 of the effective power difference value as the lighting equipment. 40 and the air conditioning equipment 50 are added to the previous estimated power consumption of each (step S110). Then, the distribution estimation unit 14 sets the result as the estimated power consumption of the lighting equipment 40 and the air conditioning equipment 50 in the time zone. Thereafter, the processing of the distribution estimation unit 14 proceeds to step S111.
- step S104 determines the previous operation status of each of the lighting equipment 40 and the air conditioning equipment 50 as described above. Accordingly, the respective estimated power consumption is calculated (step S112). Thereafter, the processing of the distribution estimation unit 14 proceeds to step S111.
- step S111 the distribution estimation unit 14 determines whether or not the above processing has been completed for all the calculated average values (step S111).
- step S111 NO
- the fluctuation detecting unit 13 pays attention to the next average value in time series and calculates an active power difference value (step S103). . Thereafter, each process described above is executed again.
- the distribution estimating unit 14 calculates the lighting equipment calculated in units of a predetermined time (for example, 30 minutes) during the period (for example, 24 hours). 40 and the estimated power consumption of the air conditioning equipment 50 are stored in the data storage unit 12 in time series (step S113).
- the fluctuation detection unit 13 measures for a predetermined period (for example, 24 hours) stored in the data storage unit 12. An average value for each predetermined time (for example, 30 minutes) is calculated from the active power data. And the fluctuation
- the distribution estimation unit 14 calculates the power factor in the time period, the calculated power factor, the first threshold value for the air conditioning equipment, and the second threshold value for the lighting equipment Based on the above, the operating status of each of the lighting equipment 40 and the air conditioning equipment 50 is estimated. Then, the distribution estimation unit 14 estimates the power consumption of each of the lighting equipment 40 and the air conditioning equipment 50 based on the estimation result. Therefore, it is possible to easily and accurately estimate the energy usage of each of the lighting equipment 40 and the air conditioning equipment 50 without preparing and holding a consumption pattern for each electrical equipment in advance as in the prior art.
- data related to the power consumption of the lighting equipment 40 and the air conditioning equipment 50 estimated by the distribution estimation unit 14 is transmitted from the data transmission unit 15 to other terminal devices installed in the building. Also good. Then, the terminal device or the like may display the contents and present it to an administrator of the building or the like. Further, the above data may be transmitted from the data transmission unit 15 to a server operated by a service provider such as an electric power company via a predetermined communication line. In this way, the service provider can easily collect information regarding the power usage of the power user, and can effectively use it to construct a new service. As a result, the service provider can provide various information services to the power user.
- a service provider such as an electric power company
- one of the important information for electric utilities is information on the configuration and actual usage of lighting equipment and air conditioning equipment.
- energy saving can be promoted by obtaining a breakdown of the actual usage of electricity. It can be said that the energy usage estimation apparatus 1 of this embodiment is one of the powerful apparatuses which can respond to such a need.
- Embodiment 2 (Embodiment 2) Then, the energy usage-amount estimation apparatus which concerns on Embodiment 2 of this invention is demonstrated.
- FIG. 7 is a block diagram showing a functional configuration of the main body 10A included in the energy usage estimation device of the present embodiment.
- the main body unit 10 ⁇ / b> A of the present embodiment includes a fluctuation detection unit 13 ⁇ / b> A instead of the fluctuation detection unit 13, unlike the main body unit 10 of the first embodiment. That is, in the main body portion 10A of the present embodiment, a method (variation detection method) for detecting whether or not there is a change in at least one of the lighting equipment 40 and the air conditioning equipment 50 is different from the main body portion 10 of the first embodiment.
- the fluctuation detection method in the present embodiment will be described.
- the fluctuation detection unit 13A starts at a predetermined timing (for example, every day at midnight) and is stored in the data storage unit 12 for a predetermined period (for example, 24 hours). Read active power data for the minute. Then, as shown in FIG. 8, the fluctuation detection unit 13 ⁇ / b> A has a predetermined width (e.g., 1 minute interval) from the starting point (e.g., 24 hours ago) of the read active power data. (4 minutes) is calculated.
- a predetermined timing for example, every day at midnight
- a predetermined period for example, 24 hours.
- the fluctuation detecting unit 13A sequentially pays attention to the calculated moving average value in time series, and obtains a difference value from the moving average value in the previous previous time zone.
- the fluctuation detector 13A compares the absolute value of the obtained difference value (that is, active power difference value) with a preset threshold value (active power difference threshold value), and notifies the distribution estimation unit 14 of the result.
- the active power difference threshold is set to at least one of the lighting equipment 40 and the air conditioning equipment 50. A value that can be regarded as the start or stop of operation is set.
- the active power difference threshold in the second embodiment may be the same as or different from the active power difference threshold in the first embodiment.
- the operating condition estimation principle and the power consumption estimation method by the distribution estimation unit 14 are the same as those of the distribution estimation unit 14 of the first embodiment, and thus description thereof is omitted.
- FIG. 9 and FIG. 10 are graphs showing the results of estimating the power consumption using the same method as the energy usage estimation device of the present embodiment. From this result, it can be seen that power consumption is accurately estimated in both the lighting equipment and the air conditioning equipment.
- a change (operation change) in the lighting equipment 40 and the air conditioning equipment 50 is detected by comparing the difference value of the moving average value and the threshold value. Therefore, the change in operation can be detected with higher accuracy, and as a result, the estimation accuracy of power consumption is increased.
- Embodiment 3 (Embodiment 3) Then, the energy usage-amount estimation apparatus which concerns on Embodiment 3 of this invention is demonstrated.
- the energy usage estimation apparatus of Embodiment 3 some functions of the main body 10 are different from those of the energy usage estimation apparatus 1 of Embodiment 1. About another point, it is the same as that of the energy usage-amount estimation apparatus 1 of Embodiment 1.
- FIG. 3 is the same as that of the energy usage-amount estimation apparatus 1 of Embodiment 1.
- FIG. 11 is a block diagram illustrating a functional configuration of the main body 10B included in the energy usage estimation device according to the present embodiment.
- the main body portion 10B of the present embodiment is different from any of the main body portions 10 and 10A of the first and second embodiments, and includes a 13B instead of the fluctuation detection portions 13 and 13A. That is, in the main body portion 10B of the present embodiment, the variation detection method in the lighting equipment 40 and the air conditioning equipment 50 is different from the main body portions 10 and 10A of the first and second embodiments.
- the fluctuation detection method in the present embodiment will be described.
- the fluctuation detection unit 13B starts at a predetermined timing (for example, midnight every day) and is stored in the data storage unit 12 for a predetermined period (for example, 24 hours) of active power data is read out. Then, a low-pass filter (digital filter) calculation as shown in the following Expression 2 is performed on the i-th active power extracted sequentially from the active power data at a predetermined time interval.
- a predetermined timing for example, midnight every day
- a predetermined period for example, 24 hours
- the variation detection unit 13B determines the effective power of the low-pass filter operation (Y i), a difference value between the previous low pass filter after calculation of the active power (Y i-1).
- the fluctuation detecting unit 13B compares the absolute value of the obtained difference value (that is, active power difference value) with a preset threshold value (active power difference threshold value), and notifies the distribution estimation unit 14 of the result.
- the active power difference threshold is at least one of the lighting equipment 40 and the air conditioning equipment 50 when the absolute value of the active power difference value becomes larger than this.
- a value that can be regarded as a change in operation is set.
- the active power difference threshold in the third embodiment may be the same as or different from the active power difference threshold in the first or second embodiment.
- the operating condition estimation principle and the power consumption estimation method by the distribution estimation unit 14 are the same as those of the distribution estimation unit 14 of the first and second embodiments, and thus description thereof is omitted.
- the difference (operation change) in the lighting equipment 40 and the air conditioning equipment 50 is compared by comparing the difference value obtained based on the low-pass filter calculation with the threshold value. Is detected.
- the operating status of each of the lighting equipment 40 and the air conditioning equipment 50 is estimated in the same manner as in the first and second embodiments, and the lighting equipment 40 and the air conditioning equipment are based on the estimation result.
- the power consumption of each of the 50 is estimated. Therefore, it is possible to easily and accurately estimate the energy usage of each of the lighting equipment 40 and the air conditioning equipment 50 without preparing and holding a consumption pattern for each electrical equipment in advance as in the prior art.
- the electrical equipment capable of estimating power consumption according to the present invention is not limited to lighting equipment and air conditioning equipment.
- the present invention can be adopted in various combinations of electrical equipment.
- the present invention can be suitably used not only in buildings, factories, commercial facilities, etc., but also in general homes as devices for estimating the power consumption of each of lighting equipment and air conditioning equipment.
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Abstract
Description
電力供給線における所定箇所で測定された電流及び電圧に基づいて、前記電力供給線に接続する複数種類の電気設備の使用に基づく所定時間毎の有効電力及び皮相電力を算出する電力計測部と、
前記電力計測部が算出した有効電力及び皮相電力に関するデータを時系列的に蓄積して記憶するデータ記憶部と、
前記データ記憶部に保存されている所定期間分の前記有効電力に関するデータを解析して、何れかの前記電気設備において稼働変化があった時間帯を検出する変動検出部と、
前記変動検出部により前記時間帯が検出された場合、当該時間帯における力率を算出し、算出した力率と、前記電気設備の種類に応じて予め設定された閾値と、に基づいて、当該時間帯における前記電気設備の種類毎の消費電力を推定する配分推定部と、を備える。
図1は、本発明の実施形態1に係るエネルギー使用量推定装置1の構成を示すブロック図である。このエネルギー使用量推定装置1は、本体部10と、計器用変成器20と、計器用変流器30と、から構成される。エネルギー使用量推定装置1は、例えば、ビル、工場、商業施設など(以下、ビル等という。)に設置され、ビル等で使用される電気設備個別のエネルギー使用量を推定する装置である。
続いて、本発明の実施形態2に係るエネルギー使用量推定装置について説明する。実施形態2のエネルギー使用量推定装置では、実施形態1のエネルギー使用量推定装置1と比べ、本体部10の一部の機能が異なっている。他の点については、実施形態1のエネルギー使用量推定装置1と同様である。
続いて、本発明の実施形態3に係るエネルギー使用量推定装置について説明する。実施形態3のエネルギー使用量推定装置では、実施形態1のエネルギー使用量推定装置1と比べ、本体部10の一部の機能が異なっている。他の点については、実施形態1のエネルギー使用量推定装置1と同様である。
c:フィルタ係数(例えば、0.2)
10、10A、10B 本体部
11 電力計測部
12 データ記憶部
13、13A、13B 変動検出部
14 配分推定部
15 データ送信部
20 計器用変成器
30 計器用変流器
40 照明設備
50 空調設備
201a 計器用変成器(A相用)
201b 計器用変成器(B相用)
201c 計器用変成器(C相用)
202a~202c 接続線
301a 計器用変流器(A相用)
301b 計器用変流器(B相用)
301c 計器用変流器(C相用)
302a~302c 接続線
Claims (6)
- 電力供給線における所定箇所で測定された電流及び電圧に基づいて、前記電力供給線に接続する複数種類の電気設備の使用に基づく所定時間毎の有効電力及び皮相電力を算出する電力計測部と、
前記電力計測部が算出した有効電力及び皮相電力に関するデータを時系列的に蓄積して記憶するデータ記憶部と、
前記データ記憶部に保存されている所定期間分の前記有効電力に関するデータを解析して、何れかの前記電気設備において稼働変化があった時間帯を検出する変動検出部と、
前記変動検出部により前記時間帯が検出された場合、当該時間帯における力率を算出し、算出した力率と、前記電気設備の種類に応じて予め設定された閾値と、に基づいて、当該時間帯における前記電気設備の種類毎の消費電力を推定する配分推定部と、を備えるエネルギー使用量推定装置。 - 前記変動検出部は、所定期間分の前記有効電力に関するデータから、所定時間毎の平均値を順次算出し、算出した平均値を時系列的に選択し、選択した平均値と、当該平均値に対応する時間帯以前の時間帯の平均値との差分値を求め、求めた差分値の絶対値と、予め設定された閾値とを比較することで、当該選択した平均値に対応する時間帯に何れかの前記電気設備の稼働変化があったか否かを検出する請求項1に記載のエネルギー使用量推定装置。
- 前記変動検出部は、所定期間分の前記有効電力に関するデータから、所定幅の移動平均値を順次算出し、算出した移動平均値を時系列的に選択し、選択した移動平均値と、当該移動平均値に対応する時間帯以前の時間帯の移動平均値との差分値を求め、求めた差分値の絶対値と、予め設定された閾値とを比較することで、当該選択した移動平均値に対応する時間帯に何れかの前記電気設備の稼働変化があったか否かを検出する請求項1に記載のエネルギー使用量推定装置。
- 前記変動検出部は、所定期間分の前記有効電力に関するデータから、所定の時間間隔で抽出した有効電力に対して、所定のローパスフィルタ演算を施すことで、ローパスフィルタ後の有効電力を取得し、今回取得したローパスフィルタ後の有効電力と、前回取得したローパスフィルタ後の有効電力との差分値を求め、求めた差分値の絶対値と、予め設定された閾値とを比較することで、当該抽出した有効電力に対応する時間帯に何れかの前記電気設備の稼働変化があったか否かを検出する請求項1に記載のエネルギー使用量推定装置。
- 前記配分推定部により推定された前記電気設備の種類毎の消費電力を含むデータを所定の通信方式により他の装置に送信するデータ送信部をさらに備える請求項1乃至4の何れか1項に記載のエネルギー使用量推定装置。
- 電力供給線における所定箇所で測定された電流及び電圧に基づいて、前記電力供給線に接続する複数種類の電気設備の使用に基づく所定時間毎の有効電力及び皮相電力を算出し、
算出した有効電力及び皮相電力に関するデータを所定のメモリに時系列的に蓄積して保存し、
前記メモリに保存されている所定期間分の前記有効電力に関するデータを解析して、何れかの前記電気設備において稼働変化があった時間帯を検出し、
前記時間帯が検出された場合、当該時間帯における力率を算出し、算出した力率と、前記電気設備の種類に応じて予め設定された閾値と、に基づいて、当該時間帯における前記電気設備の種類毎の消費電力を推定するエネルギー使用量推定方法。
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JP2017146145A (ja) * | 2016-02-16 | 2017-08-24 | 株式会社東芝 | 電力量取得装置、電力量取得方法及び電力量取得プログラム |
WO2022074724A1 (ja) * | 2020-10-06 | 2022-04-14 | 東芝三菱電機産業システム株式会社 | 電力計測装置 |
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WO2013106923A1 (en) * | 2012-01-20 | 2013-07-25 | Energy Aware Technology Inc. | System and method of compiling and organizing power consumption data and converting such data into one or more user actionable formats |
AU2018257445B2 (en) * | 2017-04-28 | 2020-12-03 | Daikin Industries, Ltd. | Power-source power factor control system, phase modifying apparatus, and active filter apparatus |
US11664206B2 (en) * | 2017-11-08 | 2023-05-30 | Taiwan Semiconductor Manufacturing Co., Ltd. | Arcing protection method and processing tool |
FR3075389B1 (fr) | 2017-12-19 | 2019-12-27 | Electricite De France | Procede de mesure, programme et dispositif de mesure de puissance ou energie de moteur electrique |
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JP2016223985A (ja) * | 2015-06-02 | 2016-12-28 | 日本電信電話株式会社 | 電力時系列データ補正方法およびシステム |
JP2017146145A (ja) * | 2016-02-16 | 2017-08-24 | 株式会社東芝 | 電力量取得装置、電力量取得方法及び電力量取得プログラム |
WO2022074724A1 (ja) * | 2020-10-06 | 2022-04-14 | 東芝三菱電機産業システム株式会社 | 電力計測装置 |
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JP7330394B2 (ja) | 2020-10-06 | 2023-08-21 | 東芝三菱電機産業システム株式会社 | 電力計測装置 |
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