JP5100723B2 - Power consumption monitoring device and power consumption monitoring method - Google Patents

Description

  The present invention relates to a power consumption monitoring device and a power consumption monitoring method for monitoring the amount of power consumed by a power receiving / transforming facility or an air conditioning facility in a building.

  Conventionally, in a building such as a building, in general, a power consumption monitoring device that monitors power consumption in a building accumulates and monitors the actual value of power consumption, and based on this accumulated actual value, Prediction of power consumption is performed.

  As a technique for predicting future power consumption based on the actual value of power consumption, Patent Document 1 describes a total power demand prediction device.

  In the total power demand prediction device described in Patent Document 1, a prediction model relating to power demand is created based on past temperature and humidity information and the actual value of power consumption. The demand is estimated.

  By using this total power demand prediction device, it is possible to predict the total power demand according to the environment of the outside air.

Japanese Patent Laid-Open No. 5-18995

  By the way, in a building where a large number of server devices are installed such as a data center, the power of the entire building mainly depends on the power used by the server device itself and the power used by the air conditioner to cool the server device. Is consumed.

  And in such a data center, since the number of server devices fluctuates with the increase or decrease of the contractors, there is a problem that it is not possible to simply predict the future power consumption based on the past actual value.

  The present invention has been made in view of the above circumstances, and provides a power consumption monitoring apparatus and a power consumption monitoring method capable of accurately predicting the power consumption of a building in which a large number of server devices are installed. The purpose is to do.

  In order to achieve the above object, a power consumption monitoring device of the present invention is a power consumption monitoring device that monitors the power consumption of a building in which a variable number of server devices are installed. A power consumption measurement value acquisition unit that acquires power consumption measurement values, and a power consumption that accumulates the power consumption measurement values acquired by the power consumption measurement value acquisition unit on a monthly basis as actual power consumption values Actual amount storage unit, a server rated capacity actual value acquisition unit that acquires a history of the total monthly value of the rated capacity of the server device in the past as the actual value of server rated capacity, and the actual amount of power consumption storage From the past actual value of monthly power consumption accumulated in the server and the past monthly server rated capacity acquired by the server rated capacity actual value acquisition unit. Unit rating of server equipment Unit rated capacity power consumption calculation unit for calculating the per unit power consumption, and a server rated capacity plan for obtaining a planned value for the future monthly unit related to the total value of the rated capacity of the server device as a planned value of the server rated capacity The server rating of each corresponding month acquired by the server rated capacity planned value acquisition unit to the power consumption per unit rated capacity calculated by the value acquisition unit and the unit rated capacity power consumption calculation unit A power consumption prediction value calculation unit that calculates a future power consumption prediction value for each month in the building to be monitored by multiplying the planned capacity values is provided.

  A power consumption monitoring apparatus according to another aspect of the present invention is a power consumption monitoring apparatus that monitors the power consumption of a building in which a variable number of server devices are installed. A power consumption measurement value acquisition unit that acquires a power consumption measurement value and acquires a measurement value of an outside temperature value of the monitored building when the power consumption measurement value is acquired; and the power consumption amount A power consumption actual value accumulation unit that accumulates power consumption measurement values acquired by the measurement value acquisition unit as actual power consumption values in association with the corresponding measurement values of the outside air temperature, and the server device in the past A server rated capacity actual value acquisition unit that acquires a history of the total value of rated capacity of a given period unit as a server rated capacity actual value, and an actual value of the power consumption accumulated in the power consumption actual value accumulation unit And the server rating Calculate the power consumption per unit rated capacity of the server device in the past predetermined period unit from the past server rated capacity actual value acquired by the actual volume value acquisition unit, and calculate this per unit rated capacity. Unit rated capacity power consumption calculation unit for obtaining a function indicating the relationship between the power consumption and the measured value of the outside temperature associated with the actual value of the power consumption used for the calculation, and the total of the rated capacities of the server device Forecast target value using a function obtained by a server rated capacity planned value acquisition unit that acquires a planned value of a predetermined unit of time in the future as a planned value of the server rated capacity and the unit rated capacity power consumption calculation unit. The power consumption per unit rated capacity corresponding to the predicted average outside air temperature during the period of time is calculated, and the calculated power consumption per unit rated capacity is acquired by the server rated capacity planned value acquisition unit A predicted power consumption value calculation unit for calculating a predicted future power consumption value for the prediction target period in the monitoring target building by multiplying the planned value of the server rated capacity for the prediction target period. Features.

  According to the power consumption monitoring device and the power consumption monitoring method of the present invention, it is possible to accurately predict the power consumption of a building in which a large number of server devices are installed.

1 is an overall view showing a configuration of a power consumption monitoring system using a power consumption monitoring apparatus according to a first embodiment of the present invention. It is a block diagram which shows the structure of the power consumption monitoring apparatus by 1st Embodiment of this invention. It is a flowchart which shows operation | movement of the power consumption monitoring apparatus by 1st Embodiment of this invention. It is explanatory drawing which shows an example of the actual value of the power consumption per unit rated capacity calculated in the unit rated capacity power consumption calculation part of the power consumption monitoring apparatus by 1st Embodiment of this invention. It is explanatory drawing which shows an example of the predicted value of the total power consumption calculated by the power consumption predicted value calculation part of the power consumption monitoring apparatus by 1st Embodiment of this invention. It is a graph which shows the relationship between the power consumption per unit rated capacity, and external temperature used for calculation of the power consumption per unit rated capacity in the power consumption monitoring apparatus by 2nd Embodiment of this invention. It is a flowchart which shows operation | movement of the power consumption monitoring apparatus by 2nd Embodiment of this invention. In order to generate a function indicating the relationship between the power consumption per unit rated capacity and the outside air temperature in the unit rated capacity power consumption calculation unit 34 of the power consumption monitoring apparatus according to the second embodiment of the present invention, It is an example of the graph by which the amount of power consumption of was plotted.

<< First Embodiment >>
As a first embodiment using the power consumption monitoring device of the present invention, the future power consumption consumed in a data center where a variable number of server devices are installed is predicted on a monthly basis according to the change in the number of server devices. A power consumption monitoring system to be performed will be described.

<Configuration of Power Consumption Monitoring System According to First Embodiment>
As shown in FIG. 1, the power consumption monitoring system according to the present embodiment includes a data center 10 in which a server device group 11 composed of a large number of server devices and an air conditioner 12 that adjusts indoor temperature are installed. Based on the power meter 20 that measures the amount of power consumed by the data center 10 and the information on the power consumption measured by the power meter 20 and the rated capacity of the server device that is input by the monitor, the data center The power consumption amount monitoring device 30 predicts 10 future power consumption amounts. The number of server devices in the server device group 11 installed in the data center 10 varies as the number of contractors increases and decreases. A plurality of air conditioners 12 are installed for each air conditioning control target area in the data center 10, but in FIG. 1, only one air conditioner 12 is shown to simplify the explanation.

  Here, the amount of power consumed in the data center 10 in the present embodiment will be described.

  The power consumption of the entire building of the data center 10 occupies most of the power consumed to operate the server device group 11 installed therein, and therefore the total value of these power consumptions is calculated as the data center 10. [Total power consumption]. There are other types of power consumed by lighting in offices and common areas, etc., but they are small compared to the amount of power consumed to operate the server device group 11 and are almost independent of the number of server devices. Since it is a fixed amount of power, it may be added as necessary, and in this embodiment, it is not a target for prediction of power consumption.

  The amount of power consumed to operate the server device group 11 as [total power consumption] of the data center 10 in the present embodiment is as shown in the following formula (1). The amount of power consumed by itself (hereinafter referred to as [server power consumption]) and the amount of power consumed by the air conditioner 12 installed in the data center 10 to cool the server device group 11 ( Hereinafter, it is referred to as “air conditioner power consumption”).

[Equation 1]
[Total power consumption] = [Server power consumption] + [Air conditioner power consumption] (1)
[Server power consumption] in the above formula (1) is linear with the total value of the rated capacities (rated kW or rated VA: hereinafter referred to as [server rated capacity]) of the server devices in the server device group 11. Is represented as the following formula (2).

[Equation 2]
[Server power consumption] = K × Σ [Rated server capacity] (2)
Here, K is a proportionality constant.

  When the room temperature is high, the fan of the server device operates at high speed, and thus the proportionality constant K is strictly a value that depends on the room temperature. However, in the normal data center 10, the room temperature is normally maintained around 25 ° C. K is a constant.

  In addition, a part of [air conditioner power consumption] in the formula (1) is used for cooling the server, but the ratio is determined by the efficiency of the air conditioner 12, and the higher the efficiency of the air conditioner 12, the higher the efficiency. A large amount of power can be used to cool the server. Assuming that the efficiency of the air conditioner 12 is ρ, the efficiency ρ depends on the outside air temperature To, the room temperature Tr, and the set temperature Ts of the air conditioner. [Electric energy used for server cooling] is expressed by the following equation (3). Is done.

[Equation 3]
[Power consumption for server cooling] = ρ (To, Tr, Ts) × [Power consumption of air conditioner]
... (3)
Here, ρ (To, Tr, Ts): Air conditioner efficiency (ρ <1)
To: outside air temperature
Tr: Room temperature
Ts: set temperature.

  The air conditioner efficiency ρ is a parameter indicating the mechanical performance of the air conditioner 12, and the variation of the value differs for each air conditioner. However, here, in order to model the entire data center 10, it is defined as the efficiency of the entire plurality of air conditioners in the data center 10.

  [Electricity used for server cooling] in equation (3) is [server thermal energy] that is thermal energy released from the server, and thermal energy that is generated by external factors such as outside temperature and radiant heat [external factor Since the room temperature can be controlled to be constant by balancing with the sum of [thermal energy], [electric power used for server cooling] is also expressed by the following equation (4).

[Equation 4]
[Amount of power used for server cooling] = [Server thermal energy] + [External factor thermal energy] (4)
[Server thermal energy] in the above formula (4) is expressed as the following formula (5), assuming that there is a linear relationship with the above-mentioned total of [server rated capacity].

[Equation 5]
[Server thermal energy] = Q × Σ [Rated server capacity] (5)
Here, Q is a proportionality constant.

  Since the server apparatus group 11 is always operating in the data center 10 and the operation status is stable, Q can be regarded as constant.

  Further, [external factor thermal energy] in the above formula (4) mainly depends on the outside air temperature To because the radiant heat follows the room temperature except for the window side, and is expressed as the following formula (6).

[Equation 6]
[External factor thermal energy] = L (To) (6)
Here, L is a proportionality constant in the relationship between the outside air temperature and the heat energy generated in the air conditioning control target room.

  From the above description, from the formulas (3) and (4), ρ (To, Tr, Ts) × [air conditioner power consumption] = [server thermal energy] + [external factor thermal energy]. When [Air-conditioner power consumption] is obtained from an expression obtained by substituting the right sides of Expression (5) and Expression (6), it is expressed as the following Expression (7).

[Equation 7]
[Air conditioner power consumption] = {Q × Σ [server rated capacity] + L (To)}
/ Ρ (To, Tr, Ts) (7)
Where Q: proportionality constant
ρ (To, Tr, Ts): Air conditioner efficiency (ρ <1)
L (To): External factor thermal energy
To: outside air temperature
Tr: Room temperature
Ts: set temperature.

  When the right side of Expression (2) and Expression (7) is substituted into Expression (1), [Total Power Consumption] is the first term indicating the amount of power depending on the server rated capacity, and the indoor and outdoor of the data center 10 And the second term indicating the amount of electric power depending on the environment, and expressed as the following formula (8).

[Equation 8]
[Total power consumption] = [Server power consumption] + [Air conditioner power consumption]
= {K + Q / ρ (To, Tr, Ts)} Σ [server rated capacity]
+ L (To) / ρ (To, Tr, Ts) (8)
In this equation (8), the amount of power that depends on the environment (second term) is sufficiently smaller than the amount of power that depends on the rated capacity of the server (first term), and the first term >> second term. Two terms can be omitted, and [total power consumption] is expressed as shown in Equation (9).

[Equation 9]
[Whole power consumption] = {K + Q / ρ (To, Tr, Ts)} Σ [Rated server capacity]
... (9)
Where K: proportionality constant
Q: Proportional constant
ρ (To, Tr, Ts): Air conditioner efficiency (ρ <1)
To: outside air temperature
Tr: Room temperature
Ts: set temperature.

  Furthermore, from the equation (9), K + Q / ρ (To, Tr, Ts) is represented by the following equation (10), which indicates the [power consumption per unit rated capacity] of the server device group 11.

[Equation 10]
K + Q / ρ (To, Tr, Ts) = [total power consumption] / Σ [rated server capacity]
= [Power consumption per unit rated capacity]
... (10)
The above equation (10) indicates that [amount of power consumed per unit rated capacity] at a certain outdoor temperature To, room temperature Tr, and set temperature Ts is obtained from [total power consumption] / Σ [server rated capacity]. ing.

  Here, when the outside air temperature To = to, the room temperature Tr = tr, and the set temperature Ts = ts, the actual values of ([total power consumption], Σ [server rated capacity]) are (w, u), respectively. [Power consumption per unit rated capacity] is expressed by the following equation (11).

[Equation 11]
K + Q / ρ (To = to, Tr = tr, Ts = ts) = w / u (11)
Further, the total power consumption at a certain outdoor temperature To = to, room temperature Tr = tr, and set temperature Ts = ts can be obtained from the following equation (12) from the equation (9).

[Equation 12]
[Whole energy consumption] = w / u × Σ [Rated server capacity] (12)
In the data center 10, the room temperature Tr and the set temperature Ts are almost constant for each season, and the outside air temperature To is also almost determined by the season. Therefore, changes in the outside air temperature To, the room temperature Tr, and the set temperature Ts can be considered on a monthly basis.

  Therefore, K + Q / ρ (To, Tr, Ts) has 12 values per month, and the monthly total power consumption is predicted as shown in the following formula (13) from the monthly Σ server rated capacity plan value. can do.

[Equation 13]
[Total power consumption predicted value n] = (w / u) n × Σ [server rated capacity planned value n]
... (13)
Here, n (1-12): indicates a value for each month.

  Based on the above concept, the power consumption monitoring device 30 predicts the future power consumption of the data center 10. A detailed configuration of the power consumption monitoring device 30 is shown in FIG.

  The power consumption monitoring device 30 includes a power consumption measurement value acquisition unit 31, a power consumption actual value accumulation unit 32, a server rated capacity actual value acquisition unit 33, a unit rated capacity power consumption calculation unit 34, and a server. It has a rated capacity planned value acquisition unit 35 and a power consumption predicted value calculation unit 36.

  The power consumption measurement value acquisition unit 31 acquires a measurement value of the power consumption consumed by the data center 10 measured by the power meter 20.

  The power consumption actual value accumulation unit 32 accumulates the past measurement values acquired by the power consumption measurement value acquisition unit 31 as actual values of the power consumption on a monthly basis.

  The server rated capacity actual value acquisition unit 33 acquires the history of the total value of the rated capacities of the server devices in the past data center 10 as the actual value of the server rated capacity on a monthly basis.

  The unit rated capacity power consumption calculation unit 34 stores the past monthly power consumption value accumulated in the power consumption actual value accumulation unit 32 and the past acquired in the server rated capacity actual value acquisition unit 33. From the actual value of the monthly server rated capacity, the power consumption per unit rated capacity of the past monthly server device is calculated.

  The server rated capacity planned value acquisition unit 35 acquires a future monthly planned value related to the total value of the rated capacities of the server device group 11 as a planned value of the server rated capacity.

  The predicted power consumption calculation value calculation unit 36 corresponds to the power consumption per unit rated capacity calculated by the unit rated capacity power consumption calculation unit 34 and acquired by the server rated capacity planned value acquisition unit 35. By multiplying the planned value of the server rated capacity for the month to be calculated, a future total power consumption prediction value for the future in the data center 10 is calculated.

<Operation of the power consumption monitoring system according to the first embodiment>
Next, in the power consumption monitoring device 30 according to the present embodiment, the future power consumption for operating the server device group 11 composed of a plurality of server devices installed in the monitored data center 10 is predicted. The operation when doing this will be described.

  In the power consumption monitoring system 1, the power meter 20 measures the amount of power consumed in the data center 10 at predetermined time intervals and sends it to the power consumption monitoring device 30 each time.

  In the power consumption monitoring device 30 according to the present embodiment, the operation when the measured value of the power transmitted from the power meter 20 is acquired and the future power consumption is predicted is described with reference to the flowchart of FIG. explain.

  First, when the amount of power consumed in the data center 10 is measured by the power meter 20 and sent to the power consumption monitoring device 30, this measured value is acquired by the power consumption measured value acquisition unit 31 (S1).

  The measurement value acquired by the power consumption measurement value acquisition unit 31 is stored as a power consumption actual value in units of months in the power consumption actual value storage unit 32 (S2).

  In addition, the server rated capacity actual value acquisition unit 33 acquires the total value of the rated capacities of the server apparatuses in the past data center 10 as the actual value of the server rated capacity on a monthly basis by an input operation by the supervisor (S3). ). As described above, since the number of server apparatuses in the data center 10 varies, the actual value of the server rated capacity also varies accordingly.

  Next, the unit rated capacity power consumption calculation unit 34 acquires the past monthly unit power consumption value accumulated in the power consumption actual value accumulation unit 32 and the server rated capacity actual value acquisition unit 33. The actual value of the power consumption per unit rated capacity of the past monthly server device is calculated from the past monthly server rated capacity actual value based on the above-described formula (10) (S4). ).

  An example of the power consumption per unit rated capacity of the monthly server apparatus group 11 calculated is shown in FIG.

  In FIG. 4, the past actual value (w) of the total monthly power consumption in 2008 accumulated in the actual power consumption value accumulation unit 32 and the server rated capacity actual value acquisition unit 33 are shown as past actual values. Acquired actual value (u) of monthly server rated capacity in 2008, and actual power consumption per unit rated capacity in 2008 calculated from these values based on equation (10) The value (w / u) is shown. For example, since the value indicating the actual value (w) of the total power consumption is 100 and the value indicating the actual value (u) of the server rated capacity is 200 in January, the power consumption per unit rated capacity is The value indicating the actual value (w / u) is 100/200 = 0.50.

  Next, in the server rated capacity planned value acquisition unit 35, the planned value for the future monthly unit regarding the total value of the rated capacity of the server device group 11 is acquired as the planned value of the server rated capacity by the input operation of the monitoring staff ( S5).

  In the predicted power consumption calculation unit 36, the actual value of the power consumption per unit rated capacity calculated by the unit rated capacity power consumption calculation unit 34 in step S4 is set to the actual value of the power consumption per unit rated capacity in step S5. The planned value of the server rated capacity for each corresponding month acquired by the value acquisition unit 35 is multiplied, and a future total power consumption predicted value for the month is calculated based on the above-described equation (13) ( S6).

  An example of the calculated future total power consumption amount in units of months is shown in FIG.

  In FIG. 5, the actual value (w / u) of the power consumption per unit rated capacity in the past (2008) calculated in step S4 and acquired in the server rated capacity plan value acquisition unit 35 shown in FIG. The estimated value of the monthly server rated capacity for the future (2009) and the predicted value of the total energy consumption for 2009 month calculated from these values based on the equation (13) are shown. . For example, in January, the value indicating the actual value (w / u) of power consumption per unit rated capacity in 2008 is 0.50, and the value indicating the planned value of server rated capacity in 2009 is 230. Therefore, the value indicating the predicted value of the total power consumption in 2009 is 0.50 × 230 = 115.

  According to the above first embodiment, the actual value of the power consumption per unit rated capacity of a plurality of server devices installed in the data center is calculated for each month according to changes in the outside air temperature, etc. In order to predict the future total power consumption using this calculated value and the predicted value of the total rated capacity of the monthly server devices in the future, an appropriate response to fluctuations in the outside air temperature and the number of server devices is required. A predicted value can be calculated.

<< Second Embodiment >>
As a second embodiment using the power consumption monitoring device of the present invention, the future power consumption consumed in a data center in which a variable number of server devices are installed is calculated according to the change in the number of server devices. A power consumption monitoring system that predicts based on the state will be described.

<Configuration of Power Consumption Monitoring System According to Second Embodiment>
The configuration of the power consumption monitoring system according to the present embodiment is the same as that of the power consumption monitoring system 1 according to the first embodiment shown in FIGS. 1 and 2, and detailed description regarding the parts having the same functions is omitted.

  In addition, the amount of power consumed in the data center 10 in the present embodiment will be described.

  Also in this embodiment, the [power consumption per unit rated capacity] of the server device group 11 is [total power consumption] / Σ [server rated capacity] as in the formula (10) described in the first embodiment. Desired.

Since this [power consumption per unit rated capacity] is expressed by K + Q / ρ (To, Tr, Ts), it varies depending on the outside air temperature. As shown in FIG. 6, the relationship between the [power consumption per unit rated capacity] and the outside air temperature is as follows. When the outside air temperature is lower than a certain temperature (A ₁ ), the power consumption per unit rated amount is caused by overcooling. It is considered that the efficiency ρ decreases when the outside air temperature is higher than a certain temperature (A ₂ ), and the power consumption per unit rated amount increases.

  Based on this concept, the power consumption monitoring device 30 predicts the future power consumption of the data center 10.

  The power consumption measurement value acquisition unit 31 of the power consumption monitoring device 30 in this embodiment acquires a measurement value of the power consumption consumed in the data center 10 measured by the power meter 20. The measurement of the amount of power by the power meter 20 is executed, for example, in units of one hour, and the measured value is acquired by the measured power consumption amount acquisition unit 31 each time. In addition, the power consumption measurement value acquisition unit 31 is connected to a temperature sensor (not shown) installed outside the building of the data center 10, and the outdoor temperature measurement value when each power consumption measurement value is acquired. Obtain from temperature sensor.

  The power consumption actual value accumulation unit 32 acquires the past power consumption measurement value acquired by the power consumption measurement value acquisition unit 31 in association with the corresponding outdoor temperature measurement value, and acquires the power consumption actual value. Accumulate as.

  The server rated capacity actual value acquisition unit 33 acquires the history of the total value of the rated capacities of the server devices in the past data center 10 as the actual value of the server rated capacity. The actual value of the server rated capacity is acquired in an arbitrary period unit (for example, a day unit, a week unit, or a unit of several days) set in advance.

  The unit rated capacity power consumption calculating unit 34 is acquired by the past actual hourly consumed power value accumulated by the power consumption actual value accumulation unit 32 and the server rated capacity actual value obtaining unit 33. The power consumption per unit rated capacity of the server device in the past hour unit is calculated from the past actual value of the server rated capacity.

  Further, the relationship between the calculated power consumption per unit rated capacity in the past hour and the measured outside air temperature associated with the actual value of the power consumption used for the calculation is as shown in FIG. Therefore, the unit rated capacity power consumption calculating unit 34 further obtains a function (polynomial) indicating the relationship between the power consumption per unit rated capacity and the measured outside air temperature.

  The server rated capacity planned value acquisition unit 35 acquires a future planned value related to the total value of the rated capacities of the server device group 11 as a planned value of the server rated capacity. The planned value of the server rated capacity is acquired in an arbitrary period unit (for example, a daily unit, a week unit, or a unit of several days).

  The predicted power consumption value calculation unit 36 uses the function obtained by the unit rated capacity power consumption calculation unit 34 to predict the predicted average outside air temperature during the period to be predicted (or the average outside temperature of the past year during the corresponding period). The power consumption per unit rated capacity corresponding to is calculated. Then, the calculated power consumption per unit rated capacity is multiplied by the predicted value of the server rated capacity for the forecast target day, week, month, or arbitrary period acquired by the server rated capacity planned value acquisition unit 35. Thus, a predicted value for the future total power consumption in the desired period in the data center 10 is calculated.

<Operation of the power consumption monitoring system according to the second embodiment>
Next, in the power consumption monitoring device 30 according to the present embodiment, the future power consumption for operating the server device group 11 composed of a plurality of server devices installed in the monitored data center 10 is predicted. The operation when doing this will be described. In the power consumption monitoring system 1, as in the first embodiment, the power meter 20 measures the amount of power consumed in the data center 10 at predetermined time intervals and sends it to the power consumption monitoring device 30 each time. Yes.

  In the power consumption monitoring device 30 according to the present embodiment, the operation when the measured value of the power transmitted from the power meter 20 is acquired and the future power consumption is predicted is described with reference to the flowchart of FIG. explain.

  First, when the amount of power consumed in the data center 10 is measured by the power meter 20 at a predetermined time interval, for example, every hour, it is sent to the power consumption monitoring device 30, and this power consumption measured value acquisition unit 31 performs this consumption. An electric energy measurement value is acquired (S11).

  In addition, when a temperature sensor (not shown) installed outside the data center 10 measures the outside air temperature measurement value when each power consumption measurement value is acquired, it is sent to the power consumption monitoring device 30. Then, the outside air temperature measurement value is acquired in the power consumption measurement value acquisition unit 31 (S12).

  The past power consumption measurement value acquired by the power consumption measurement value acquisition unit 31 is acquired by the power consumption actual value accumulation unit 32 in association with the corresponding outdoor temperature measurement value, and the actual value of power consumption is obtained. (S13).

  In addition, the server rated capacity actual value acquisition unit 33 acquires the history of the total rated capacity of the server devices in the past data center 10 as the actual value of the server rated capacity by the input operation of the monitoring staff (S14). ). As described above, since the number of server apparatuses in the data center 10 varies, the actual value of the server rated capacity also varies accordingly. The actual value of the server rated capacity is acquired in an arbitrary period unit (for example, a day unit, a week unit, or a unit of several days) set in advance.

  Next, in the unit rated capacity power consumption calculation unit 34, the past power consumption amount actual value accumulated in the past hour unit accumulated in the power consumption actual value accumulation unit 32 and the server rated capacity actual value acquisition unit 33 From the acquired actual value of the past server rated capacity, the power consumption per unit rated capacity of the server device in the past hour is calculated (S15).

  Further, in the unit rated capacity power consumption calculation unit 34, the power consumption per unit rated capacity calculated in the past hour unit calculated in the power consumption actual value accumulation unit 32 and the actual power consumption used for the calculation. A function (polynomial) indicating these relationships is obtained from the outside air temperature measurement value associated with the value (S16).

  A method for obtaining a function indicating the relationship between the power consumption per unit rated capacity and the outside air temperature will be described.

  First, on the two-dimensional graph in which the outside temperature To is taken on the x axis and the power consumption per unit rated capacity of the server device is taken on the y axis, the unit rated capacity power consumption calculating unit 34 calculates the hourly unit. The amount of power consumption per unit rated capacity of the server device is plotted at a position corresponding to an outside air temperature measurement value associated with the actual value of the power consumption amount used for the calculation.

  FIG. 8 shows an example of a graph in which the amount of power consumption per unit rated capacity calculated in units of one hour is plotted.

  Next, from the graph plotted as shown in FIG. 8, an nth-order polynomial of the outside air temperature To is obtained based on the least square method of the following formula (14).

次元ｎを決定する方法としては、空調機の特性から人間系で判断する、あるいは次元ｎの収束条件を設定しその条件を満たす次元ｎを解析的に求めるなどの方法がある。 [Formula 14]

As a method for determining the dimension n, there are a method in which a human system determines from the characteristics of the air conditioner, or a method for determining a dimension n satisfying the condition by setting a convergence condition of the dimension n analytically.

  For example, when dimension n = 3, the total power consumption / Σserver rated capacity can be expressed as shown in the following equation (15).

[Equation 15]
Total power consumption / Σ server rated capacity = a ₃ × To ³ + a ₂ × To ² + a ₁ × To + a ₀
... (15)
Here, a ₃ , a ₂ , a ₁ , a ₀ : constants.

  Returning to the flowchart of FIG. 7, in the server rated capacity planned value acquisition unit 35, the future planned value related to the total value of the rated capacity of the server device group 11 is acquired as the planned value of the server rated capacity by the input operation of the monitoring staff. (S17). The planned value of the server rated capacity is acquired in an arbitrary period unit (for example, a daily unit, a week unit, or a unit of several days).

  Next, using the function obtained by the unit rated capacity power consumption calculating unit 34 in step S16, the unit corresponding to the predicted average outside temperature of the period to be predicted (or the average outside temperature of the past year in the corresponding period). The power consumption per rated capacity is calculated by the power consumption predicted value calculation unit 36 (S18). Further, in the power consumption predicted value calculation unit 36, the planned value of the server rated capacity for the prediction target period acquired by the server rated capacity planned value acquisition unit 35 in step S17 is calculated as the calculated power consumption per unit rated capacity. Based on the following equation (16), the total power consumption prediction value for the future prediction target period of the data center 10 is calculated (S19).

[Equation 16]
[Predicted value of total power consumption] = (a ₃ × To ³ + a ₂ × To ² + a ₁ × To + a ₀ ) Σserver rated capacity planned value (16)
According to the second embodiment described above, the actual value of the power consumption per unit rated capacity of the plurality of server devices installed in the data center is calculated and associated with the outside air temperature value. Value and the predicted value of the total rated capacity of the server device in the future are used to predict the overall power consumption for the desired period in the future. Can be calculated.

DESCRIPTION OF SYMBOLS 1 ... Power consumption monitoring system 10 ... Data center 11 ... Server apparatus group 12 ... Air conditioner 20 ... Power meter 30 ... Power consumption monitoring apparatus 31 ... Power consumption measured value acquisition part 32 ... Power consumption actual value storage part 33 ... server rated capacity actual value acquisition part 34 ... unit rated capacity power consumption calculation part 35 ... server rated capacity planned value acquisition part 36 ... power consumption prediction value calculation part

Claims (4)

In a power consumption monitoring device that monitors the power consumption of a building in which a variable number of server devices are installed,
A power consumption measurement value acquisition unit for acquiring a power consumption measurement value in the building to be monitored;
A power consumption actual value accumulation unit that accumulates the power consumption measurement value acquired by the power consumption measurement value acquisition unit in units of months as the actual power consumption value;
A server rated capacity actual value acquisition unit that acquires a history of a total value of monthly rated capacity of the server device in the past as an actual value of the server rated capacity;
From the past actual value of the monthly power consumption accumulated in the actual power consumption amount accumulation unit and the past monthly server rated capacity actual value acquired by the server rated capacity actual value acquisition unit A unit rated capacity power consumption calculating unit for calculating power consumption per unit rated capacity of the server device in the past month;
A server rated capacity plan value acquisition unit for acquiring a plan value of the future monthly unit related to the total value of the rated capacity of the server device as a plan value of the server rated capacity;
The planned value of the server rated capacity for each corresponding month acquired by the server rated capacity planned value acquisition unit is added to the power consumption per unit rated capacity of the month calculated by the unit rated capacity power consumption calculation unit. A power consumption amount monitoring apparatus comprising: a power consumption amount prediction value calculation unit that calculates a predicted amount of future power consumption amount for each month in the building to be monitored by multiplying. In a power consumption monitoring device that monitors the power consumption of a building in which a variable number of server devices are installed,
Obtaining a power consumption measurement value in the monitored building, and obtaining a measurement value of an outside air temperature value of the monitored building when the power consumption measurement value is obtained And
Associating the power consumption measurement value acquired by the power consumption measurement value acquisition unit with the corresponding measurement value of the outside temperature, and storing the power consumption actual value storage unit as a power consumption actual value;
A server rated capacity actual value acquisition unit that acquires a history of a total value of a predetermined period unit of the rated capacity of the server device in the past as an actual value of the server rated capacity;
From the actual value of the power consumption accumulated in the actual power consumption amount accumulation unit and the past server rated capacity actual value acquired by the server rated capacity actual value acquisition unit, the past predetermined period unit Calculate the power consumption per unit rated capacity of the server device, and the relationship between the calculated power consumption per unit rated capacity and the outside air temperature measurement value associated with the actual value of power consumption used for the calculation A unit rated capacity power consumption calculation unit for obtaining a function indicating
A server rated capacity planned value acquisition unit that acquires a planned value of a predetermined period unit in the future regarding the total value of the rated capacity of the server device as a planned value of the server rated capacity;
Using the function obtained by the unit rated capacity power consumption calculation unit, calculate the power consumption per unit rated capacity corresponding to the predicted average outside air temperature during the prediction target period, and calculate the consumption per unit rated capacity. By multiplying the amount of electric power by the planned value of the server rated capacity for the period of the prediction target acquired by the server rated capacity planned value acquisition unit, the prediction of future power consumption in the prediction target period of the monitored building A power consumption monitoring apparatus comprising: a power consumption predicted value calculation unit that calculates a value. A power consumption monitoring device that monitors the power consumption of a building in which a variable number of server devices are installed,
A power consumption measurement value acquisition step of acquiring a power consumption measurement value in the monitored building;
A power consumption actual value accumulation step for accumulating the power consumption measurement value acquired in the power consumption measurement value acquisition step in units of months as an actual power consumption value;
A server rated capacity actual value acquisition step of acquiring a history of the total value of the monthly rated capacity of the server device in the past as an actual value of the server rated capacity;
From the past actual value of the monthly power consumption accumulated in the actual power consumption amount accumulation step, and the past monthly server rated capacity actual value acquired in the server rated capacity actual value acquisition step A unit rated capacity power consumption calculating step for calculating power consumption per unit rated capacity of the server device in the past month;
A server rated capacity plan value acquisition step of acquiring a future monthly planned value regarding the total value of the rated capacity of the server device as a planned value of the server rated capacity;
The planned value of the server rated capacity for each corresponding month acquired in the server rated capacity planned value acquisition step is added to the power consumption per unit rated capacity of the month calculated in the unit rated capacity power consumption calculating step. A power consumption amount monitoring method comprising: a power consumption amount predicted value calculating step of calculating a future power consumption amount predicted value for each month in the building to be monitored by multiplying. A power consumption monitoring device that monitors the power consumption of a building in which a variable number of server devices are installed,
Obtaining a power consumption measurement value in the monitored building, and obtaining a measurement value of an outside air temperature value of the monitored building when the power consumption measurement value is obtained Steps,
Associating the power consumption measurement value acquired in the power consumption measurement value acquisition step with the corresponding measurement value of the outside temperature, and storing the power consumption actual value storage step as a power consumption actual value,
A server rated capacity actual value acquisition step of acquiring a history of a total value of a predetermined period unit of the rated capacity of the server device in the past as an actual value of the server rated capacity;
From the actual power consumption value accumulated in the actual power consumption value accumulation step and the past server rated capacity actual value acquired in the server rated capacity actual value acquisition step, the past predetermined period unit Calculate the power consumption per unit rated capacity of the server device, and the relationship between the calculated power consumption per unit rated capacity and the outside air temperature measurement value associated with the actual value of power consumption used for the calculation A unit rated capacity power consumption calculating step for obtaining a function indicating
A server rated capacity plan value acquisition step of acquiring a plan value in a predetermined period in the future regarding the total value of the rated capacity of the server device as a plan value of the server rated capacity;
Using the function determined in the unit rated capacity power consumption calculation step, calculate the power consumption per unit rated capacity corresponding to the predicted average outside air temperature during the prediction target period, and calculate the consumption per unit rated capacity. Multiplying the electric energy by the planned value of the server rated capacity for the prediction target period acquired in the server rated capacity planned value acquisition step, thereby predicting the future power consumption in the prediction target period in the monitoring target building A power consumption amount monitoring method comprising: a power consumption amount predicted value calculation step for calculating a value.

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