JP2019122154A - Method for acquiring energy demand characteristics - Google Patents

Abstract

To acquire energy demand characteristics of air-conditioning, illumination, and the like in an area including an architectural structure or the like without complicating a system configuration, by associating an air temperature per unit time with a transaction amount of electric power or gas per unit time.SOLUTION: A method for acquiring energy demand characteristics includes: an energy consumption acquisition step of acquiring an energy consumption per unit total floor area for each unit time in an area; an outside air temperature acquisition step of acquiring an outside air temperature for each unit time in the area; and a load fluctuation characteristic acquisition step of acquiring a fluctuation characteristic of an air-conditioning load with respect to the outside air temperature and a fluctuation characteristic of a steady load with respect to the outside air temperature on the basis of the energy consumption per unit total floor area for each unit time acquired in the energy consumption acquisition step and the outside air temperature for each unit time acquired in the outside air temperature acquisition step.SELECTED DRAWING: Figure 7

Description

  The present invention relates to a method of acquiring energy demand characteristics of at least one area, and more particularly, to a method suitable for acquiring energy demand characteristics of a building such as heating and cooling and lighting.

The device described in Patent Document 1 has an object of enabling an energy consumer to achieve an energy saving target value or a CO ₂ reduction target value without difficulty.

In order to solve the problem, the device described in Patent Document 1 takes into consideration, for example, the energy saving target value of the large area or the CO ₂ reduction target value in consideration of the features (presence or absence and number of large customers) of each area It is allocated more than the energy saving target value or the CO ₂ reduction target value of the large area.

JP, 2014-96988, A

  By the way, energy consumption fluctuates due to natural phenomena such as weather, the number of residents, vacancy rates of areas (buildings etc.) and social events such as economic activities. Therefore, in the future, it is desirable to construct a system that can be automatically updated at low cost.

  It has been almost over a year since the start of total liberalization of electricity retailing, and the installation of smart meters is progressing rapidly, with sales volume measurement, rationalization of surcharge services, and 30 minutes of simultaneous demand for high-voltage customers. .

  However, in general, it is said that it is not possible to grasp the demand amount of loads with little seasonal fluctuation such as heating and cooling loads and lighting from the measurement values of the smart meter.

  The present invention has been made in consideration of such problems, and relates to the system by relating the volume of electricity and gas exchanged per unit time (for example, one hour) to the temperature per unit time (for example, one hour). An object of the present invention is to provide a method capable of acquiring energy demand characteristics such as air conditioning, lighting and the like of an area including a building etc. without complicating the configuration.

[1] A method of acquiring energy demand characteristics of at least one area according to the present invention includes an energy consumption acquisition step of acquiring energy consumption per unit total floor area per unit time in the area; An outside air temperature acquisition step for acquiring an outside air temperature for each unit time, an energy consumption amount per unit total floor area for each unit time acquired in the energy consumption acquisition step, and each unit time acquired in the outside air temperature acquisition step And a load fluctuation characteristic acquisition step of acquiring a fluctuation characteristic of the heating and cooling load with respect to the outside air temperature and a fluctuation characteristic of the steady load with respect to the outside air temperature.

  In this way, the energy consumption per unit time (for example, one hour) in the area (including at least one building) is associated with the outside air temperature per unit time (for example, one hour) Acquire the fluctuation characteristic of the heating and cooling load with respect to the outside temperature, and the fluctuation characteristic of the steady load with respect to the outside temperature. By acquiring the fluctuation characteristic of the steady load, it becomes possible to accurately acquire the fluctuation characteristic of the heating and cooling load with respect to the outside air temperature.

  Moreover, the energy consumption per unit time (for example, one hour) can be acquired using a watt-hour meter, smart meter, gas meter, etc., and the outside temperature is, for example, meteorological information provided by the Meteorological Agency ( For example, information on the outside air temperature for each time can be acquired. Therefore, it is possible to easily acquire energy demand characteristics such as area heating and cooling and lighting without complicating the system configuration.

[2] In the present invention, the load fluctuation characteristic acquiring step acquires a scatter diagram of energy consumption per unit total floor area with respect to the outside air temperature of the area, and a large regression coefficient among the scatter diagrams. A threshold setting step of setting a threshold which is a boundary between a variation region in which a plurality of plots are scattered and a steady region in which a plurality of plots indicating small regression coefficients are dispersed; The air conditioning and heating load fluctuation characteristic acquiring step of acquiring the fluctuation characteristic of the heating load with respect to the outside temperature and the fluctuation characteristic of the cooling load with respect to the outside temperature from a plurality of plots, and the plurality of plots included in the steady area And a steady-state load fluctuation characteristic acquisition step of acquiring the fluctuation characteristic of the steady-state load with respect to the temperature.

  That is, according to the present invention, in the scatter diagram of the energy consumption per unit floor area to the outside air temperature of the area, a plurality of plots showing a large regression coefficient and a plurality of plots showing a small regression coefficient. Set a threshold that is the boundary with the scattered steady region. Then, from the plurality of plots included in the fluctuation region, the fluctuation characteristic of the heating load with respect to the outside air temperature and the fluctuation characteristic of the cooling load with respect to the outside air temperature are acquired. Therefore, when acquiring the fluctuation | variation characteristic of heating load and cooling load, it does not include the difference | error (influence) by the plot of a steady region, and it can acquire the fluctuation | variation characteristic of heating load and cooling load accurately.

  This is the same as in the case of acquiring the fluctuation characteristics of the steady load, and when acquiring the fluctuation characteristics of the steady load, there is no need to include an error (impact) due to plotting of the fluctuation region, and the fluctuation characteristics of the steady load accurately. You can get

[3] In the present invention, the air conditioning and heating load fluctuation characteristic acquiring step uses, as the heating load fluctuation characteristic, one first straight line indicating a correlation of the plurality of plots included in the fluctuation area of the winter period with the outside air temperature. A cooling load fluctuation characteristic in which one second straight line indicating the correlation between the heating load fluctuation characteristic acquiring step to be acquired and a plurality of plots included in the summer fluctuation area among the fluctuation areas is shown as the cooling load fluctuation characteristic And an acquisition step.

  The heating load fluctuation characteristic can be acquired as the first straight line from a plurality of plots included in the fluctuation area in winter, and the energy consumption for heating can be intuitively grasped from the inclination of the first straight line, etc. . Similarly, the cooling load fluctuation characteristic can be acquired as the second straight line from a plurality of plots included in the summer fluctuation area, and the energy consumption for cooling can be intuitively grasped from the inclination of the second straight line, etc. be able to.

[4] In the present invention, the steady-state load fluctuation characteristic acquiring step is a value at a winter temperature set in advance, out of one third straight line showing correlations to the outside air temperature of a plurality of plots included in the winter steady state region. And a fifth straight line connecting a value at a preset summer temperature out of one fourth straight line showing correlations to the outside temperature of a plurality of plots included in the steady region of summer, as a steady load fluctuation characteristic, May be

  For example, 10 ° C. can be selected as the preset winter temperature, and 25 ° C. can be selected as the preset summer temperature. Then, for example, a fifth straight line connecting a value (energy consumption amount) at 10 ° C., for example, of one third straight line and a value (energy consumption amount) at 25 ° C., for example, of one fourth straight line. Acquire as a characteristic. As a result, it is possible to easily acquire the fluctuation characteristics of steady-state load from winter to summer.

[5] In the present invention, the threshold value setting step sets the value (height) at the outside air temperature corresponding to the intersection of the first straight line and the second straight line among the fifth straight lines as the threshold value. You may

[6] In the present invention, the steady-state load fluctuation characteristic acquiring step is a single third straight line or a plurality of plots included in a steady-state region during summer, showing correlations of the plurality of plots included in the steady-state region in winter with the outside temperature. The steady load is the sixth straight line obtained by drawing the value (height) at the outside temperature corresponding to the intersection of the first straight line and the second straight line among the fourth straight lines showing the correlation to the outside temperature You may acquire as a fluctuation | variation characteristic.

  Since the steady-state load fluctuation characteristics have almost no correlation, the regression coefficient is close to 0, and the regression line is almost a straight line along the horizontal axis. Therefore, by setting the ambient temperature corresponding to the intersection of the first straight line and the second straight line as a representative temperature for obtaining the steady state load fluctuation characteristic, the steady state load fluctuation characteristic can be easily obtained. The steady-state load of the area can be easily calculated. In this case, the threshold corresponds to the height to the sixth straight line.

[7] In the present invention, both the first straight line indicating the heating load fluctuation characteristic and the second straight line indicating the cooling load fluctuation characteristic may be continuous with the straight line indicating the steady load fluctuation characteristic. Thereby, the continuity of the steady load fluctuation characteristic, the heating load fluctuation characteristic and the cooling load fluctuation characteristic with respect to the temperature change can be secured.

[8] In the present invention, both the first straight line indicating the heating load fluctuation characteristic and the second straight line indicating the cooling load fluctuation characteristic may be discontinuous with the straight line indicating the steady load fluctuation characteristic. Since it is not necessary to make the steady load fluctuation characteristics dependent on the heating load fluctuation characteristics and the cooling load fluctuation characteristics, the steady region can be arbitrarily set according to the environment of the area, etc., and the steady load fluctuation characteristics to temperature change, heating load It is possible to shorten the time for acquiring the fluctuation characteristic and the cooling load fluctuation characteristic.

[9] In the present invention, the energy consumption may include data from a smart meter installed at an energy consumer of the area.

  Over a year has passed since the full liberalization of the retailing of electric power, and the installation of smart meters is rapidly progressing, such as measuring power sales volume, rationalizing surcharge services, and simultaneously responding to high-voltage customers for 30 minutes. In addition, the retail liberalization of gas has begun, and it is planned to install a smart meter for gas. By using these smart meters, automation of acquisition of energy demand characteristics for at least one area can be promoted.

[10] In the present invention, the energy consumption acquisition step may acquire the power consumption per unit total floor area per unit time in the area. In this way, based on the amount of used power per unit time per unit total floor area and the outside air temperature per unit time, the fluctuation characteristics of the heating and cooling load with respect to the outside air temperature and the fluctuation characteristics of the steady load with respect to the outside air temperature are acquired. be able to. This is effective when acquiring the energy demand characteristic of the area which is covering the heating and cooling load by electric power.

[11] In the present invention, the power consumption may include at least data from a power meter installed at a power consumer in the area.

[12] In the present invention, the energy consumption acquisition step may acquire a used gas amount per unit time and unit total floor area of the area. Thereby, based on the amount of used gas per unit total floor area per unit time and the outside air temperature per unit time, the fluctuation characteristic of the heating and cooling load to the outside air temperature and the fluctuation characteristic of the steady load to the outside air temperature are acquired be able to. This is effective when acquiring the energy demand characteristic of the area where the heating and cooling load is covered by the gas.

[13] In the present invention, the amount of used gas may include at least data from a gas meter installed at a gas demander in the area.

  According to the method for acquiring the energy demand characteristic according to the present invention, the system configuration can be obtained by relating the trading volume of power and gas per unit time (for example, one hour) with the air temperature per unit time (for example, one hour). It is possible to obtain energy demand characteristics such as air conditioning, lighting and the like of an area including a building etc. without complication.

It is a block diagram showing an example of the system configuration which realizes the method of acquiring the energy demand characteristic concerning this embodiment. It is a functional block diagram showing processing operation in a computer. It is a figure which shows an example of a scatter diagram. It is an explanatory view showing energy consumption with four parameters. FIG. 5A is an explanatory view showing a first method for acquiring the fluctuation characteristic of the steady load with respect to the outside air temperature, and FIG. 5B is an explanatory view showing the second method. 6A to 6D show examples of continuity and discontinuity between the first line indicating the heating load fluctuation characteristic and the second straight line indicating the cooling load fluctuation characteristic and the fifth straight line or the sixth straight line indicating the steady load fluctuation characteristic. FIG. It is a flowchart which shows an example of the method to acquire the energy demand characteristic which concerns on this Embodiment.

  Hereinafter, an embodiment (hereinafter, referred to as a method according to the present embodiment) of a method for acquiring the energy demand characteristic of at least one area according to the present invention will be described with reference to FIGS.

  First, an example of a system configuration for realizing the method according to the present embodiment will be described with reference to FIGS. 1 and 2.

  The system configuration includes a plurality of watt-hour meters 12 (or smart meters 14) and a plurality of gas quantity meters 16 installed in at least one area 10 for which energy demand characteristics are to be measured, a computer 18, and And a weather information providing service 20.

  As the area 10, an office building, an apartment house, a housing complex, a factory etc. are mentioned, for example.

  The computer 18 has, for example, the following functional units as shown in FIG. That is, the computer 18 has at least the energy consumption acquisition unit 22, the outside air temperature acquisition unit 24, the fluctuation characteristic acquisition unit 26, and the load fluctuation characteristic display unit 28. Further, a display 30 is connected to the computer 18.

The energy consumption acquisition unit 22 acquires a unit total floor area per unit time in the area 10 based on the data Da from the plurality of power meters 12 (or the smart meter 14) and the data Db from the plurality of gas meters 16. The energy consumption per unit (for example, 1 m ² ) is acquired and stored in the energy consumption data file 32.

  Here, the energy consumption acquisition unit 22 includes, for example, a power amount acquisition unit 34 and a gas amount acquisition unit 38.

  The power consumption acquisition unit 34 acquires the power consumption per unit total floor area per unit time in the area 10 and stores the power consumption in the power consumption data file 36. The amount of power used includes data Da from the watt-hour meter 12 or the smart meter 14 installed at the power consumer in the area 10.

  The gas amount acquisition unit 38 acquires the amount of used gas per unit total floor area per unit time in the area 10 and stores the amount of used gas in the gas amount data file 40. The used gas amount includes data Db from the gas amount meter 16 installed at the gas demander in the area 10. Of course, if a gas smart meter is installed, data from the smart meter may be included.

  The outside air temperature acquiring unit 24 acquires the outside air temperature Dc per unit time of the corresponding area 10 from the weather information providing service 20 and stores the outside air temperature Dc in the outside air temperature data file 42.

  The fluctuation characteristic acquisition unit 26 acquires the fluctuation characteristic of the cooling and heating load with respect to the outside air temperature based on the outside air temperature for each unit time acquired by the outside air temperature acquisition unit 24 and stores the acquired fluctuation characteristic in the air conditioning heating load fluctuation characteristic file 44. The air conditioning load fluctuation characteristic file 44 has a heating load fluctuation characteristic file 44A and a cooling load fluctuation characteristic file 44B. Further, the fluctuation characteristic acquisition unit 26 acquires the fluctuation characteristic of the steady load with respect to the outside air temperature based on the outside air temperature for each unit time, and stores the acquired fluctuation characteristic in the steady load fluctuation characteristic file 46.

  Specifically, the fluctuation characteristic acquisition unit 26 includes a scatter diagram acquisition unit 50, a threshold value setting unit 52, an air conditioning and heating load fluctuation characteristic acquisition unit 54, and a steady load fluctuation characteristic acquisition unit 56.

  The scatter diagram acquisition unit 50 acquires a scatter diagram 58 of the energy consumption per unit total floor area with respect to the outside air temperature of the area 10.

  The following description mainly describes the amount of used electric power as an example, and the amount of used gas is substantially the same as the amount of used electric power, so redundant description will be omitted.

  The acquired scatter diagram 58 will be described by way of example using the amount of power used. For example, as shown in FIG. 3, the first region 60a in which the amount of used power per unit total floor area decreases with the rise in the outside air temperature; There is a second region 60b in which the amount of power used per area rises with the rise in the outside air temperature, and a third region 60c in which the amount of used power per unit total floor area is substantially constant regardless of changes in the outside air temperature. The same applies to the amount of used gas, so the description will be omitted.

  That is, the first area 60a and the second area 60b are a fluctuation area 62A in which a plurality of plots showing large regression coefficients are scattered, and the third area 60c is a steady area 62B in which a plurality of plots showing small regression coefficients are scattered. It can be defined as

  In addition, the fluctuation area 62A is a fluctuation area 62Aa (= the first area 60a) in the winter season in which a plurality of plots showing negative regression coefficients whose slopes are falling to the right are scattered, and positive regression coefficients whose slopes are rising to the right It can also be divided into a summer fluctuation area 62Ab (= second area 60b) in which a plurality of plots showing.

  Similarly, the steady area 62B can be divided into a winter steady area 62Ba in which a plurality of plots are scattered and a summer steady area 62Bb in which a plurality of plots are scattered.

  From this, the energy consumption can be described by the following four parameters. The four parameters are, as shown in FIG. 4, a negative regression coefficient -Kw, a positive regression coefficient Kc, a threshold value Eth and an outside air temperature Th. The threshold value Eth refers to the height Eth at the outside temperature Th at the intersection H of the first straight line L1 based on the negative regression coefficient -Kw and the second straight line L2 based on the positive regression coefficient Kc. The method of setting this threshold value Eth will be described later.

  The threshold setting unit 52 sets a fluctuation region 62A in which a plurality of plots indicating large regression coefficients are dispersed and a steady region in which a plurality of plots indicating small regression coefficients is dispersed in the scatter diagram 58 (see FIG. 3). A threshold Eth, which is the boundary with 62 B, is set. As described above, threshold value Eth is one of the four parameters indicating energy consumption, and is also used as an index for distinguishing variable region 62A from steady region 62B in data processing. . As a result, it becomes possible to speed up data processing in the above-described air conditioning and heating load fluctuation characteristic acquiring unit 54 and the steady load fluctuation characteristic acquiring unit 56.

  As a utilization method of the parameter mentioned above, it can utilize for improvement of the energy efficiency in the said area 10, etc. For example, the steady-state load can be reduced by lowering the threshold value Eth. By reducing the negative regression coefficient (inclination of heating), the heating efficiency can be improved, and by lowering the positive regression coefficient (inclination of cooling), the cooling efficiency can be improved.

  Then, the cooling and heating load fluctuation characteristic acquisition unit 54 acquires the fluctuation characteristic of the heating load with respect to the outside air temperature and the fluctuation characteristic of the cooling load with respect to the outside air temperature from the plurality of plots included in the fluctuation region 62A.

  Specifically, the cooling and heating load fluctuation characteristic acquiring unit 54 includes a heating load fluctuation characteristic acquiring unit 54A and a cooling load fluctuation characteristic acquiring unit 54B.

  The heating load fluctuation characteristic acquisition unit 54A acquires, as a heating load fluctuation characteristic, data of one first straight line L1 indicating the correlation of the plurality of plots included in the fluctuation area 62Aa in the winter period with the outside temperature in the fluctuation area 62A. It stores in the heating load fluctuation characteristic file 44A.

  The cooling load fluctuation characteristic acquisition unit 54B acquires, as a cooling load fluctuation characteristic, data of one second straight line L2 that indicates the correlation of the plurality of plots included in the summer fluctuation area 62Ab with the outside temperature in the fluctuation area 62A. It is stored in the cooling load fluctuation characteristic file 44B.

  The steady load fluctuation characteristic acquisition unit 56 acquires the fluctuation characteristics of the steady load with respect to the outside air temperature from the plurality of plots included in the steady region 62B of the scatter diagram 58, and stores the acquired fluctuation characteristics in the steady load fluctuation characteristic file 46.

  Specifically, the steady-state load fluctuation characteristic acquisition unit 56 acquires the fluctuation characteristics of the steady-state load with respect to the outside air temperature, for example, by any one of two methods (a first method and a second method).

  The first method is, as shown in FIG. 5A, a preset winter temperature (for example, 10 ° C.) of one third straight line L3 that indicates the correlation of the plurality of plots included in the steady region 62Ba in winter with the outside temperature. And a value at a summer temperature (for example, 25.degree. C.) set in advance, out of one fourth straight line L4 showing the correlation of the plurality of plots included in the steady area 62Bb in summer with the outside temperature Five straight lines L5 are acquired as the steady load fluctuation characteristics, and stored in the steady load fluctuation characteristics file 46. In this case, the threshold setting unit 52 sets a value (height) at the outside air temperature Th corresponding to the intersection H of the first straight line L1 and the second straight line L2 in the fifth straight line L5 as the threshold Eth. . The temperatures in winter and summer set in advance are not limited to the above temperatures 10 ° C. and 25 ° C., and can be appropriately selected according to the climate of area 10, for example, cold or warm area, etc. .

  The second method is, as shown in FIG. 5B, a value (height) at the outside air temperature Th corresponding to the intersection H of the first straight line L1 and the second straight line L2 among the third straight line L3 or the fourth straight line L4. The sixth straight line L6 is obtained as the steady-state load fluctuation characteristic in which the is drawn along the horizontal axis. In the example of FIG. 5B, a representative example of the fourth straight line L4 is shown in which the sixth straight line L6 obtained by drawing the value (height) at the outside air temperature Th along the horizontal axis is drawn. The threshold value Eth corresponds to the height to the sixth straight line L6.

  6A to 6D, at least one of the first straight line L1 indicating the heating load fluctuation characteristic and the second straight line L2 indicating the cooling load fluctuation characteristic is the fifth straight line L5 or the fifth straight line L5 indicating the steady load fluctuation characteristic. It may be continuous with the 6 straight line L6 or may be discontinuous.

  The load variation characteristic display unit 28 displays at least the graphs shown in FIGS. 3 and 4 on the display 30. That is, the load fluctuation characteristic display unit 28 displays the display 30 on the basis of the data of the first straight line L1 stored in the heating load fluctuation characteristic file 44A and the data of the second straight line L2 stored in the cooling load fluctuation characteristic file 44B. The first straight line L1 and the second straight line L2 are displayed, and the outside air temperature Th corresponding to the intersection H of the first straight line L1 and the second straight line L2 is displayed on the horizontal axis, and the position of the threshold Eth is indicated. A straight line Lth parallel to the axis and a threshold value Eth are displayed.

  Next, the method according to the present embodiment will be described with reference to the flowchart of FIG.

  First, in step S1 of FIG. 7, the energy consumption per unit total floor area per unit time in the area 10 is acquired and stored in the energy consumption data file 32. In step S 2, the outside air temperature for each unit time of the corresponding area 10 is acquired from the weather information providing service 20 and stored in the outside air temperature data file 42.

  The acquisition of the energy consumption and the acquisition of the outside air temperature are carried out for a predetermined number of years, for example, three years. When the process in step S1 is completed, the energy consumption data file 32 stores the energy consumption per unit total floor area per unit time, for example, for three years of the area 10, and the outside air temperature data file 42 The outside temperature of each unit time of, for example, three years of the area 10 is stored in the area. The accumulation period of energy consumption may be one year, but in order to grasp the average tendency of the area 10 as accurately as possible, three years to six years are preferable, and three years is efficiently preferable.

  Thereafter, in step S3, the fluctuation characteristic acquiring unit 26 acquires the fluctuation characteristic of the heating and cooling load with respect to the outside air temperature based on the outside air temperature for each unit time acquired by the outside air temperature acquiring unit 24 and outputs it to the cooling and heating load fluctuation characteristic file 44. Store.

  In step S4, the scatter diagram acquisition unit 50 of the fluctuation characteristic acquisition unit 26 acquires the scatter diagram 58 (see FIG. 3 and FIG. 4) of the energy consumption per unit total floor area with respect to the outside air temperature of the area 10.

  In step S5, the threshold value setting unit 52 sets, in the scatter diagram 58, a variation area 62A in which a plurality of plots indicating large regression coefficients are dispersed and a steady area 62B in which a plurality of plots indicating small regression coefficients is dispersed. Set the threshold Eth, which is the border between

  In step S6, the heating and cooling load fluctuation characteristic acquisition unit 54 acquires the fluctuation characteristic of the heating load relative to the outside air temperature and the fluctuation characteristic of the cooling load relative to the outside air temperature from the plurality of plots included in the fluctuation region 62A.

  Specifically, heating load fluctuation characteristic acquisition unit 54A of air conditioning and heating load fluctuation characteristic acquisition unit 54 is a first one of correlations of the plurality of plots included in fluctuation area 62Aa in the winter season with the outside temperature in fluctuation area 62A. The straight line L1 is acquired as the heating load fluctuation characteristic and stored in the heating load fluctuation characteristic file 44A.

  The cooling load fluctuation characteristic acquisition unit 54B of the cooling and heating load fluctuation characteristic acquisition unit 54 performs cooling load on one second straight line L2 indicating the correlation of the plurality of plots included in the fluctuation region 62Ab in summer during the fluctuation region 62A with the outside temperature. The fluctuation characteristic is acquired and stored in the cooling load fluctuation characteristic file 44B.

  Thereafter, in step S7, the steady load fluctuation characteristic acquisition unit 56 acquires the fluctuation characteristics of the steady load with respect to the outside air temperature from the plurality of plots included in the steady region 62B, and stores the acquired fluctuation characteristics in the steady load fluctuation characteristic file 46.

  In step S8, the load fluctuation characteristic display unit 28 displays a display based on the data of the first straight line L1 stored in the heating load fluctuation characteristic file 44A and the data of the second straight line L2 stored in the cooling load fluctuation characteristic file 44B. The first straight line L1 and the second straight line L2 are displayed at 30. Furthermore, the load variation characteristic display unit 28 displays the outside air temperature Th corresponding to the intersection point H between the first straight line L1 and the second straight line L2 on the horizontal axis, and a straight line parallel to the horizontal axis indicating the position of the threshold value Eth. Display Lth and threshold Eth.

  Thus, the method according to the present embodiment is a method of acquiring the energy demand characteristic of at least one area 10, and energy of acquiring the energy consumption per unit total floor area per unit time in area 10 The consumption acquisition step, the outside air temperature acquisition step for acquiring the outside air temperature per unit time of the area 10, the energy consumption per unit time per unit time floor area acquired in the energy consumption acquisition step, and the outside air temperature acquisition It has a load fluctuation characteristic acquisition step of acquiring a fluctuation characteristic of the heating and cooling load with respect to the outside air temperature and a fluctuation characteristic of the steady load with respect to the outside air temperature based on the outside air temperature for each unit time acquired in the step.

  The external temperature is related to the energy consumption (trade volume of electricity and gas) per unit time (for example 1 hour) in the area (including at least one building) and the outside temperature per unit time (for example 1 hour) The variation characteristic of the heating and cooling load with respect to and the variation characteristic of the steady load with respect to the outside air temperature are acquired. By acquiring the fluctuation characteristic of the steady load, it becomes possible to accurately acquire the fluctuation characteristic of the heating and cooling load with respect to the outside air temperature.

  Moreover, the energy consumption per unit time (for example, one hour) can be obtained using the watt-hour meter 12, the smart meter 14, the gas meter 16 and the like, and the outside air temperature is provided by, for example, the Japan Meteorological Agency. Weather information (for example, information on the outside air temperature at each time) can be acquired. Therefore, it is possible to easily acquire energy demand characteristics such as air conditioning and lighting of the area 10 without complicating the system configuration.

  In the present embodiment, the load fluctuation characteristic acquisition step includes the steps of acquiring a scatter diagram 58 of the energy consumption per unit total floor area with respect to the outside air temperature of the area 10, and a plurality of scatter diagrams 58 indicating large regression coefficients. The threshold value setting step of setting the threshold value Eth which is the boundary between the fluctuation area 62A in which the plot of the scatter is scattered and the steady area 62B in which the plurality of plots showing small regression coefficients are scattered, and included in the fluctuation area 62A The air conditioning load fluctuation characteristic acquisition step of acquiring the fluctuation characteristic of the heating load to the outside air temperature and the fluctuation characteristic of the cooling load to the outside air temperature from the plurality of plots, and the plurality of plots included in the steady area 62B to the outside air temperature And a steady-state load fluctuation characteristic acquisition step of acquiring a steady-state fluctuation characteristic of the load.

  That is, in the present embodiment, in scatter diagram 58 of energy consumption per unit total floor area with respect to the outside air temperature of area 10, fluctuation region 62A in which a plurality of plots showing a large regression coefficient are scattered, and a small regression coefficient The threshold Eth is set which is a boundary with the steady area 62 B in which a plurality of plots showing. Then, from the plurality of plots included in the fluctuation region 62A, the fluctuation characteristic of the heating load with respect to the outside air temperature and the fluctuation characteristic of the cooling load with respect to the outside air temperature are acquired. Therefore, when acquiring the fluctuation | variation characteristic of heating load and cooling load, it will not include the error (impact) by the plot of steady area | region 62B, and it can acquire the fluctuation | variation characteristic of heating load and cooling load accurately.

  This is the same as when acquiring the fluctuation characteristics of the steady load, and when acquiring the fluctuation characteristics of the steady load, it does not include the error (impact) due to the plot of the fluctuation region 62A, and the fluctuation of the steady load accurately. Properties can be obtained.

  In the present embodiment, the air conditioning and heating load fluctuation characteristic acquiring step takes one first straight line L1 indicating the correlation of the plurality of plots included in the fluctuation area 62Aa in the winter with the outside air temperature in the fluctuation area 62A as the heating load fluctuation characteristic. A cooling load that acquires, as a cooling load fluctuation characteristic, a heating load fluctuation characteristic acquiring step to be acquired and one second straight line L2 indicating a correlation of the plurality of plots included in the summer fluctuation area 62Ab with the outside temperature in the fluctuation area 62A. And a fluctuation characteristic acquisition step.

  The heating load fluctuation characteristic can be acquired as the first straight line L1 from a plurality of plots included in the winter fluctuation area 62Aa, and the energy consumption for heating can be intuitively grasped from the inclination of the first straight line L1 and the like. be able to. Similarly, the cooling load fluctuation characteristic can be acquired as the second straight line L2 from a plurality of plots included in the summer fluctuation area 62Ab, and the energy consumption for cooling can be intuitively calculated from the inclination of the second straight line L2 and the like. Can be grasped.

  In the present embodiment, the steady-state load fluctuation characteristic step includes a value at a winter temperature set in advance, of one third straight line L3 indicating a correlation of the plurality of plots included in the steady area 62Ba of winter with the outside temperature. Of the fourth straight line L4 showing the correlation of the plurality of plots included in the steady area 62Bb in summer with the outside temperature, the fifth straight line L5 connecting the value at the summer temperature set in advance as the steady load fluctuation characteristic And acquiring a steady-state load fluctuation characteristic acquiring step.

  For example, 10 ° C. can be selected as the preset winter temperature, and 25 ° C. can be selected as the preset summer temperature. Then, for example, a fifth straight line L5 connecting a value (energy consumption amount) at 10 ° C. of one third straight line L3 and a value (energy consumption amount) at 25 ° C. of one fourth straight line L4 is obtained. Acquired as a steady load fluctuation characteristic. As a result, it is possible to easily acquire the fluctuation characteristics of steady-state load from winter to summer.

  In the present embodiment, in the threshold setting step, a value (height) at the outside air temperature Th corresponding to the intersection H of the first straight line L1 and the second straight line L2 in the fifth straight line L5 is used as the threshold Eth. Set

  In the present embodiment, the steady-state load fluctuation characteristic step is a plurality of plots included in one third straight line L3 or the steady-state region 62Bb in summer, which shows the correlation of the plurality of plots included in steady-state region 62Ba in winter with the outside temperature. The 6th straight line which pulled the value (height) in the outside air temperature Th corresponding to the intersection H of the 1st straight line L1 and the 2nd straight line L2 among the 4th straight line L4 which shows the correlation to outside temperature along the horizontal axis There is provided a steady load fluctuation characteristic acquisition step of acquiring L6 as a steady load fluctuation characteristic.

  Since the steady-state load fluctuation characteristics have almost no correlation, the regression coefficient is close to 0, and the regression line is almost a straight line along the horizontal axis. Therefore, by setting the outside temperature Th corresponding to the intersection H of the first straight line L1 and the second straight line L2 as a representative temperature for obtaining the steady state load fluctuation characteristic, the steady state load fluctuation characteristic is easily obtained. It is possible to easily calculate the steady load of the area 10. In this case, the threshold value Eth corresponds to the height up to the sixth straight line L6.

  In the present embodiment, both the first straight line L1 showing the heating load fluctuation characteristic and the second straight line L2 showing the cooling load fluctuation characteristic are continuous with the straight line Lth showing the steady load fluctuation characteristic. Thereby, the continuity of the steady load fluctuation characteristic, the heating load fluctuation characteristic and the cooling load fluctuation characteristic with respect to the temperature change can be secured.

  In the present embodiment, both the first straight line L1 showing the heating load fluctuation characteristic and the second straight line L2 showing the cooling load fluctuation characteristic are discontinuous with the straight line Lth showing the steady load fluctuation characteristic. Since it is not necessary to make the steady-state load fluctuation characteristics dependent on the heating load fluctuation characteristics and the cooling load fluctuation characteristics, the steady-state region 62B can be arbitrarily set according to the environment of the area 10, etc. The time for acquiring the heating load fluctuation characteristic and the cooling load fluctuation characteristic can be shortened.

  In the present embodiment, the energy consumption may include data from a smart meter installed at an energy consumer in area 10. Over a year has passed since the full liberalization of electricity retailing has begun, and installation of smart meter 14 is rapidly advancing with measures such as sales volume measurement, rationalization of surcharge services, and 30 minutes simultaneous high-volume demand response. . In addition, the retail liberalization of gas has begun, and it is planned to install a smart meter for gas. Using these smart meters 14 can facilitate automation of the acquisition of energy demand characteristics for at least one area 10.

  In the present embodiment, the energy consumption acquisition step acquires the power consumption per unit total floor area per unit time in the area 10. In this way, based on the amount of used power per unit time per unit total floor area and the outside air temperature per unit time, the fluctuation characteristics of the heating and cooling load with respect to the outside air temperature and the fluctuation characteristics of the steady load with respect to the outside air temperature are acquired. be able to. This is effective when acquiring the energy demand characteristic of the area which is covering the heating and cooling load by electric power.

  In the present embodiment, the amount of power used may include at least data from a watt-hour meter installed at a power consumer in the area.

  In the present embodiment, the energy consumption acquisition step acquires a unit time of the area 10 and an amount of used gas per unit total floor area. Thereby, based on the amount of used gas per unit total floor area per unit time and the outside air temperature per unit time, the fluctuation characteristic of the heating and cooling load to the outside air temperature and the fluctuation characteristic of the steady load to the outside air temperature are acquired be able to. This is effective when acquiring the energy demand characteristic of area 10 which is covering cooling and heating load with gas.

  In the present embodiment, the amount of used gas includes data from a gas meter installed at the gas demander in area 10.

  The method of acquiring the energy demand characteristic according to the present invention is not limited to the above embodiment, and it goes without saying that various configurations can be adopted without departing from the scope of the present invention.

DESCRIPTION OF SYMBOLS 10 Area 12 watt-hour meter 14 smart meter 16 gas amount meter 18 computer 20 weather information provision service 22 energy consumption acquisition part 24 outside air temperature acquisition part 26 fluctuation characteristic acquisition part 28 load fluctuation characteristic Display unit 30 ... Display 32 ... Energy consumption data file 34 ... Energy amount acquisition unit 36 ... Energy amount data file 38 ... Gas amount acquisition unit 40 ... Gas amount data file 42 ... Outside air temperature data file 44 ... Air conditioning load fluctuation characteristic file 44 A ... Heating load fluctuation characteristic file 44B ... Cooling load fluctuation characteristic file 46 ... Steady load fluctuation characteristic file 50 ... Scattering chart acquisition unit 52 ... Threshold setting unit 54 ... Heating and heating load fluctuation characteristic acquisition unit 54A ... Heating load fluctuation characteristic acquisition unit 54B ... Cooling load fluctuation characteristic acquisition unit 56 ... Steady load fluctuation characteristic acquisition unit 58 ... Scattering chart 0a to 60c ... first to third regions 62A ... fluctuation region 62Aa ... fluctuation region 62Ab in winter ... fluctuation region 62B in summer ... stationary region 62Ba ... stationary region 62Bb in winter ... stationary region in summer Eth ... threshold L1 L6 ... 1st straight line to 6th straight line

Claims (13)

A method of acquiring energy demand characteristics of at least one area, the method comprising:
An energy consumption acquisition step of acquiring energy consumption per unit total floor area per unit time in the area;
An outside air temperature acquisition step for acquiring the outside air temperature per unit time of the area;
Based on the energy consumption per unit total floor area acquired in the energy consumption acquisition step per unit time and the outside air temperature per unit time acquired in the outside air temperature acquisition step, fluctuation characteristics of the air conditioning load relative to the outside air temperature And a load fluctuation characteristic acquisition step of acquiring fluctuation characteristics of steady-state load with respect to the outside air temperature. In the method according to claim 1,
The load variation characteristic acquisition step is
Obtaining a scatter plot of energy consumption per unit total floor area relative to the ambient temperature of the area;
In the scatter diagram, a threshold value is set which is a boundary between a variation region in which a plurality of plots showing large regression coefficients are dispersed and a stationary region in which a plurality of plots showing small regression coefficients is scattered. Setting step,
An air conditioning and heating load fluctuation characteristic acquisition step of acquiring the fluctuation characteristic of the heating load with respect to the outside air temperature and the fluctuation characteristic of the cooling load with respect to the outside air temperature from a plurality of plots included in the fluctuation region;
A steady-state load fluctuation characteristic acquisition step of acquiring the fluctuation characteristics of the steady-state load with respect to the outside air temperature from a plurality of plots included in the steady-state region. In the method according to claim 2,
The air conditioning load fluctuation characteristic acquisition step is
A heating load fluctuation characteristic acquisition step of acquiring, as a heating load fluctuation characteristic, one first straight line indicating a correlation of the plurality of plots included in the fluctuation area of the winter season with the outside temperature among the fluctuation areas;
A cooling load fluctuation characteristic acquiring step of acquiring one second straight line indicating a correlation of the plurality of plots included in the fluctuation area of summer with the outside air temperature as the cooling load fluctuation characteristic among the fluctuation areas. Method. In the method according to claim 3,
The steady load fluctuation characteristic acquisition step is
Of one third straight line showing the correlation of the plurality of plots included in the stationary region in winter with the outside temperature, the value at the preset winter temperature and the outside temperature of the plurality of plots included in the stationary region in summer are shown. A method characterized in that a fifth straight line connecting a value at a preset summer temperature out of one fourth straight line indicating correlation is acquired as a steady load fluctuation characteristic. In the method according to claim 4,
The threshold setting step is
A method characterized in that a value at the outside air temperature corresponding to the intersection of the first straight line and the second straight line among the fifth straight line is set as a threshold value. In the method according to claim 3,
The steady load fluctuation characteristic acquisition step is
One third straight line showing the correlation of the plurality of plots contained in the stationary region in winter with the outside temperature, or one of the fourth straight lines showing the correlation of the plurality of plots contained in the stationary region in summer with the outside temperature A method characterized in that a sixth straight line obtained by subtracting a value at the outside air temperature corresponding to the intersection of the first straight line and the second straight line along the horizontal axis is acquired as a steady load fluctuation characteristic. The method according to any one of claims 3 to 6,
The first straight line indicating the heating load fluctuation characteristic and the second straight line indicating the cooling load fluctuation characteristic are both continuous with the straight line indicating the steady load fluctuation characteristic. The method according to any one of claims 3 to 6,
The first straight line indicating the heating load fluctuation characteristic and the second straight line indicating the cooling load fluctuation characteristic are both discontinuous from the straight line indicating the steady load fluctuation characteristic. The method according to any one of claims 1 to 8, wherein
The method wherein the energy consumption includes data from a smart meter installed at an energy consumer of the area. A method according to any one of the preceding claims.
The energy consumption acquisition step is
A method characterized in that the amount of power used per unit total floor area per unit time in the area is acquired. The method according to claim 10, wherein
The method according to the present invention, wherein the power consumption includes at least data from a power meter installed at a power consumer in the area. A method according to any one of the preceding claims.
The energy consumption acquisition step is
A method characterized by acquiring a used gas amount per unit time and unit total floor area of the area. In the method according to claim 12,
The method characterized in that the amount of used gas includes at least data from a gas meter installed at a gas demander in the area.

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