JP2008225826A - Support system for energy saving behavior - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a support system for energy saving behavior to evaluate the energy consumption of an energy consumer based on an objective index, and for directly encouraging the energy consumer to be aware of energy saving. <P>SOLUTION: This energy saving behavior support system 1 is provided with a storage means 2 and a visual data generation means 3. The storage means 2 has standard energy consumption temperature sensitivity data as information showing correlation between standard energy consumption data and temperature data stored therein. The visual data generation means 3 reads the standard energy consumption temperature sensitivity data from the storage means 2, and graphs the correlation between the standard energy consumption data and the temperature data to prepare a standard temperature sensitivity curve, and plots an object temperature sensitivity point decided based on object energy consumption data and object temperature data on the same graph to generate visual data. <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

  The present invention relates to an energy saving action support system that makes energy consumers aware of energy saving.

  Conventionally, an electronic device having a function of measuring the current power consumption and displaying the measured consumption so that the energy consumer can visually confirm the energy consumption for the purpose of raising energy consciousness for the energy consumer. An electric energy meter is provided (see, for example, Patent Document 1).

JP 2005-180934 A

  According to the electronic watt-hour meter described in Patent Document 1, the energy consumer can be made aware of the current energy consumption, but the action of directly acting on the energy consumer to the energy consumer is poor. If the energy consumer has stored or recorded the energy consumption displayed in the past, the numerical value of the energy consumption displayed in the past and the numerical value of the energy consumption displayed at the present time However, it is only possible to compare with the energy consumption of the past in the past, and not to objectively evaluate the energy consumption.

  SUMMARY OF THE INVENTION In view of the above problems, the present invention has an object to provide an energy saving action support system that evaluates the energy consumption of an energy consumer based on an objective index and directly gives an awareness of energy saving. And

  In order to achieve the above object, an energy saving action support system according to the present invention shows a correlation between standard energy consumption data, which is energy consumption data of a standard energy consumer showing standard energy consumption behavior, and temperature data. The storage means storing standard energy consumption temperature sensitivity data as information and the energy consumption behavior of the target energy consumer are relatively compared with the standard energy consumer, and the comparison result is visualized. Visual data generation means for generating visual data for reading, the visual data generation means reads the standard energy consumption temperature sensitivity data from the storage means, and the standard energy consumption data and the temperature A standard temperature sensitivity curve is created by graphing the correlation with the data, and the target energy on the date on which the data is created. When the target energy consumption data which is energy consumption data of the consumer and the target temperature data which is the temperature data related to the data creation target date are given, the target energy consumption is displayed on the same graph as the standard temperature sensitivity curve. It is a first feature that the visual data is generated by plotting target temperature sensitivity points determined by quantity data and the target temperature data.

  According to the first characteristic configuration of the energy saving action support system according to the present invention, the predetermined data creation target is provided on the same graph as the standard temperature sensitivity curve indicating the relationship between the energy consumption of the standard energy consumer and the temperature. By plotting the target temperature sensitivity point specified by associating the energy consumption amount of the target energy consumer related to the day with the temperature data of the data creation target day, the energy consumption amount of the target energy consumer under the same temperature Comparison with standard energy consumption can be made visually.

  In general, when the temperature is high (cooling demand generation time), the cooling consumption increases as the temperature rises. When the temperature is low (heating demand generation time), the heating consumption increases as the temperature decreases. To do. Therefore, in the standard temperature sensitivity curve created by taking temperature data on the horizontal axis and energy consumption on the vertical axis, if the target standard energy consumption data includes energy consumption derived from cooling consumption If the standard energy consumption data includes heating consumption-derived energy consumption, draw a rising curve at the heating demand occurrence time. It becomes.

  Therefore, if the standard temperature sensitivity curve shows a rising curve in a region where the temperature is high, and the target temperature sensitivity point is located above the standard temperature sensitivity curve under the region, the target energy consumer However, it is suggested that the energy consumption in the cooling operation season (generally summer) is relatively large compared to the standard energy consumer. In particular, if the difference between the two is large, make the target energy consumer recognize that his / her energy consumption deviates significantly from the standard energy consumption, and thereby incentive to control cooling consumption. Can do.

  Similarly, if the standard temperature sensitivity curve shows a rising curve in a region where the temperature is low, and the target temperature sensitivity point is located above the standard temperature sensitivity curve under the region, the target energy consumer However, it is suggested that the amount of energy consumption in the heating operation season (generally winter) is relatively large compared to the standard energy consumer, and an incentive to suppress heating consumption can be activated.

  That is, according to the configuration of the present invention, if standard energy consumption data is stored in the storage means, only the energy consumption data related to the data creation target date of the target energy consumer and the temperature data of the corresponding day are stored. Visual data is generated by preparing. If the temperature data corresponding to the energy consumption point of the target energy consumer is obtained by obtaining information disclosed by public institutions or other institutions, it is necessary to create visual data. Such data is only energy consumption data (target energy consumption data) of the target energy consumer related to the data creation target date. That is, for example, it is possible to generate visual data based on information such as indication values such as watt-hour meters or gas meters that have been installed conventionally, and to target energy consumers without installing dedicated measurement means Information related to its own energy consumption tendency can be presented.

  In addition to the first characteristic configuration, the energy saving action support system according to the present invention is configured such that the storage means includes energy consumption amount data of the target energy consumer related to a plurality of days, and the temperature data of the corresponding day. And when the visual data generation means is provided with a plurality of data creation target date specifying information, a plurality of dates specified by the data creation target date specifying information are set as the data creation target dates, respectively. A plurality of the target energy consumption data and the target temperature data are read from the storage unit, and the target temperature sensitivity points determined for each data creation target date are plotted on the same graph as the standard temperature sensitivity curve. Then, the second feature is to generate the visual data.

  According to the second characteristic configuration of the energy saving action support system according to the present invention, since the target temperature sensitivity points related to a plurality of days are plotted as the visual data, the plotted region and the standard temperature sensitivity curve are plotted. By comparing with the position, the energy consumption tendency of the target energy consumer can be recognized more objectively.

  For example, in a region where the standard air temperature sensitivity curve increases in energy consumption as the air temperature decreases (heating season), the plotted target air temperature sensitivity point group is located above the standard air temperature sensitivity curve as a whole. Similarly, when visual data that shows a tendency for energy consumption to increase with decreasing temperatures is displayed, the target energy consumer has a relatively large amount of energy consumption derived from their own heating consumption. Can be recognized. At this time, if the slope formed by the target temperature sensitivity point group is steeper than the slope of the standard temperature sensitivity curve, the increase in energy consumption derived from heating consumption accompanying the decrease in temperature is the standard energy consumption. It can be recognized that it is large compared to the person. As a result, energy consumption related to the same temperature can be reduced by taking measures such as lowering the set temperature of the heating equipment to the target energy consumer in the future or stopping the heating operation in the absence space. It is possible to promote awareness of energy-saving behavior to bring the amount closer to the standard temperature sensitivity curve.

  In addition to the first characteristic configuration, the energy saving action support system according to the present invention is configured such that the storage means includes energy consumption amount data of the target energy consumer related to a plurality of days, and the temperature data of the corresponding day. And when the visual data generation means is given one data creation target date specifying information, the data creation means generates a predetermined plurality of days including a specified date specified by the data creation target date specifying information. A plurality of the target energy consumption data and the target temperature data set as target dates are read from the storage means, and the target temperature sensitivity is determined for each data creation target date on the same graph as the standard temperature sensitivity curve. A third feature is that the visual data is generated by plotting each point.

  According to the third characteristic configuration of the energy saving action support system according to the present invention, the target temperature sensitivity point group related to a plurality of days including the specific date specified by the data generation target date specifying information is the same graph as the standard temperature sensitivity curve. Since it is plotted above, the target energy consumer can intuitively grasp his / her past trend of energy consumption trend by appropriately changing the specific date and generating visual data as needed.

  Further, in the energy saving action support system according to the present invention, in addition to the first or second feature configuration, the storage means stores daily energy consumption data of a plurality of energy consumers including the target energy consumer. It is accumulated and recorded in a state having an association with the temperature data for each day, and reads the daily energy consumption data and the temperature data for the corresponding day of the plurality of energy consumers from the storage means, and Deriving the standard energy consumption data for each day based on the energy consumption data of a plurality of energy consumers, and associating the derived standard energy consumption data with the air temperature data for the corresponding day to thereby calculate the standard energy consumption And a standard energy consumption temperature sensitivity data generating means for generating quantity temperature sensitivity data and recording it in the storage means. And features.

  According to the fourth characteristic configuration of the energy saving action support system according to the present invention, the standard energy consumption data is derived based on the energy consumption data of a plurality of energy consumers that are accumulated. Temperature sensitivity data can be updated sequentially. As a result, a standard temperature sensitivity curve is generated based on data reflecting recent trends. Therefore, by comparing with the data, more objective information can be presented to the target energy consumer. It becomes possible.

  In addition to the fourth feature configuration, the energy saving action support system according to the present invention is configured such that the visual data generation means includes target energy consumer specifying information for specifying the target energy consumer, and the data creation target. When data creation target date specifying information for specifying a date is given, the target energy consumer specified by the target energy consumer specifying information and the data creation target date specified by the data creation target date specifying information The fifth feature is that the visual energy is generated by reading the target energy consumption data and the target temperature data from the storage means.

  According to the fifth characteristic configuration of the energy saving action support system according to the present invention, since the target energy consumer data can also be read from the storage means, the energy saving action support system according to the present invention allows each of a plurality of energy consumers. On the other hand, it is possible to generate visual data based on the target temperature sensitivity point of the energy consumer. Therefore, for example, each energy consumer can check his / her visual data by accessing his / her energy saving action support system according to the present invention via the telecommunication line with his / her operation terminal. Thereby, a plurality of energy consumers can be made aware of their own energy consumption tendency and can be aware of energy-saving behavior.

  Further, in the energy saving action support system according to the present invention, in addition to the fourth or fifth characteristic configuration, the storage means may store the energy consumption data of the plurality of energy consumers based on a predetermined rule. When the energy consumption tendency of the plurality of energy consumers is classified into a plurality of energy consumption attributes, the energy consumption attributes to which each of the plurality of energy consumers belongs are stored in a recognizable state, and the standard energy consumption The energy consumption amount data of the plurality of energy consumers, wherein the temperature-temperature sensitivity data generating means shows the same energy consumption attribute as the energy consumption attribute to which the target energy consumer specified by the target energy consumer specifying information belongs The standard energy consumption temperature sensitivity data is generated based on the sixth characteristic.

  According to the sixth characteristic configuration of the energy saving action support system according to the present invention, the standard energy consumption temperature based on the energy consumption with other energy consumers showing the same energy consumption tendency as the target energy consumer. Since the sensitivity data is calculated, the standard temperature sensitivity curve to be compared with the target temperature sensitivity point (s) was created based on data based on the energy consumption of multiple energy consumers that are close to their own energy consumption trend It will be a thing. Therefore, the target energy consumer can confirm his energy consumption more objectively by checking the visual data in which the standard temperature sensitivity curve and his target temperature sensitivity point (group) are displayed on the same graph. Trends can be evaluated.

  Further, in the energy saving action support system according to the present invention, in addition to any one of the fourth to sixth feature configurations, the visual data generation means includes the target energy consumer specifying information and the data creation target. When the day specifying information is given, the target energy consumer specified by the target energy consumer specifying information, the specified date specified by the data creation target date specifying information, and the nearest day or a plurality of the specified dates Based on the data creation target date specified by date, the target energy consumption data and the target temperature data are read from the storage means, and all the data creation target dates on the same graph as the standard temperature sensitivity curve It is a seventh feature that the visual data is generated by plotting the target air temperature sensitivity point.

  According to the seventh characteristic configuration of the energy saving action support system according to the present invention, the visual temperature plotting the target temperature sensitivity points of the past one day or a plurality of days including the specified date specified by the data creation target date specifying information. Data is generated. For this reason, the energy consumption tendency of the target energy consumer can be recognized more objectively by comparing the area formed by the plurality of target temperature sensitivity point groups and the position of the standard temperature sensitivity curve. For example, the target energy consumer can generate visual data continuously while appropriately changing the data creation target day specific information so that the target energy consumer can visually grasp his / her past energy consumption trend. Can raise awareness of energy-saving behavior.

  Further, in the energy saving action support system according to the present invention, in addition to the third or seventh characteristic configuration, the visual data generation means includes the target temperature sensitivity point related to the designated date and a date other than the designated date. It is an eighth feature that the target temperature sensitivity point related to the data creation target date is plotted with a different appearance.

  According to the eighth characteristic configuration of the energy saving action support system according to the present invention, the target temperature sensitivity point related to the designated date can be visually distinguished from the target temperature sensitivity point related to the data creation target date other than the designated date. Since it is configured, it is possible to perform an objective evaluation on the energy consumption trend on the specified date at a glance based on the energy consumption trend and the standard temperature sensitivity curve related to the past data creation target date other than the specified date. .

  Further, the energy saving action support system according to the present invention is characterized in that, in addition to any one of the first to eighth characteristic configurations, the standard energy consumption temperature sensitivity data includes at least the total energy of the standard energy consumer per day. Including standard daily power amount temperature sensitivity data indicating a correlation between power consumption and temperature, and the target energy consumption data includes at least target daily power amount data defined by a total power consumption amount of the data creation target day, The visual data generation means creates the standard temperature sensitivity curve based on the standard daily power amount temperature sensitivity data, and uses the target daily power amount data and the target temperature data on the same graph as the standard temperature sensitivity curve. It is a ninth feature that the visual data related to the power consumption behavior is generated by plotting the target temperature sensitivity point to be determined.

  According to the ninth characteristic configuration of the energy saving action support system according to the present invention, the target energy consumer can objectively recognize his / her past power consumption tendency by confirming the visual data.

  At this time, in general, the standard temperature sensitivity curve has a region where energy consumption (power consumption) is hardly influenced by changes in temperature, and such a region has a small proportion derived from air conditioning such as cooling or heating, It is inferred that the proportion of power consumption derived from the base load that is continuously consumed throughout the year is large. For this reason, when the target temperature sensitivity point is located above the standard temperature sensitivity curve in this region, it is considered that power consumption derived from the base load is large. An incentive to reduce power consumption from the load can be activated.

  Moreover, since measurement data relating to the daily energy consumption of the target energy consumer may be used as the target energy consumer data, necessary data can always be acquired by a watt-hour meter installed. That is, it is not necessary to provide a dedicated measurement unit again, and the energy consumption tendency of the target energy consumer can be objectively grasped by a simple method.

  In addition to the ninth feature configuration, the energy saving action support system according to the present invention is further characterized in that the standard energy consumption temperature sensitivity data further includes the total energy consumption of the standard energy consumer per day and the temperature. The standard daily gas amount temperature sensitivity data indicating the correlation is included, and the target energy consumption data further includes target daily gas amount data defined by the total consumed gas amount on the data generation target day, and the visual data generation The means creates the standard temperature sensitivity curve based on the standard daily gas amount temperature sensitivity data, and is determined by the target daily gas amount data and the target temperature data on the same graph as the standard temperature sensitivity curve. The tenth feature is that the visual data relating to the gas consumption behavior can be generated by plotting the target temperature sensitivity point.

  According to the tenth characteristic configuration of the energy saving action support system according to the present invention, the target energy consumer objectively recognizes not only power but also his / her past gas consumption trend by confirming the visual data. be able to.

  In particular, it is assumed that the standard temperature sensitivity curve related to gas generally draws a curve in which consumption increases as the temperature decreases in a low temperature region. When it is confirmed that the gas is located above the curve, it can be recognized that there is a tendency that the amount of gas consumption derived from hot water supply or heating tends to be larger than that of a standard energy consumer. It can be an incentive to execute energy-saving actions to reduce consumption. For example, it becomes a motivation to consider taking measures to shorten the hot water discharge time of a shower in a bathroom or to lower the set temperature when a heating device using gas as fuel is provided.

  In addition, when a plurality of target temperature sensitivity point groups are represented on the same graph as the standard temperature sensitivity curve, the slope of the shape formed by the target temperature sensitivity point group is more than the slope of the standard temperature sensitivity curve under the low temperature region. Is larger than the standard energy consumer, it is possible to recognize that the increase in gas consumption from hot water supply or heating accompanying a decrease in temperature is larger than the standard energy consumer. By presenting it, it can be a strong motivation to practice the above energy saving behavior.

  Moreover, since the measurement data regarding the amount of gas consumed per day of the target energy consumer may be used as the target energy consumer data, it is possible to obtain necessary data with a gas meter that is always installed. That is, it is not necessary to provide a dedicated measurement unit again, and the energy consumption tendency of the target energy consumer can be objectively grasped by a simple method.

  If the target energy consumer has a water heater with a hot water meter installed, the measurement data measured by the hot water meter is the target energy consumer data, and the standard energy consumption temperature sensitivity data. It is also possible to create visual data using temperature sensitivity data indicating the correlation between the total daily hot water consumption of standard energy consumers and the temperature.

  Moreover, the energy saving action support system according to the present invention is provided in addition to any one of the first to tenth feature configurations, wherein the storage means divides the day into predetermined small time zones. The standard energy consumption temperature sensitivity data for each small time zone is stored, and the visual data generation means continuously outputs the target energy consumption data and the target temperature data for each small time zone or continuously. When given as data for each medium time zone composed of a plurality of the small time zones, the standard energy consumption temperature sensitivity data for each small time zone or each medium time zone is read from the storage means, The standard temperature sensitivity curve is created for each small time zone or each medium time zone, and for each small time zone or each medium time zone, the small time zone or medium is plotted on the same graph as the standard temperature sensitivity curve. In time That it is capable of generating configure the visual data by plotting the target temperature sensitivity point and the eleventh aspect.

  According to the eleventh characteristic configuration of the energy saving action support system according to the present invention, the visual energy can be presented to the target energy consumer for each small time period. It is possible to acquire detailed information related to the energy consumption behavior of the person, and based on this information, it can be used as a reference for practicing effective energy saving behavior in the future.

  According to the configuration of the present invention, the visual data based on the energy saving evaluation index that is an index for relatively evaluating the energy consumption behavior of the target energy consumer with the plurality of other energy consumers is generated. By displaying the visual data on the display screen or the like for the target energy consumer and visually confirming it, the target energy consumer can be directly conscious of energy saving.

  Hereinafter, embodiments of an energy saving action support system according to the present invention (hereinafter referred to as “the present invention system” as appropriate) will be described with reference to the drawings. In each of the following embodiments, an energy consumer to be subjected to energy saving action support is described as “target energy consumer” and is distinguished from other energy consumers.

[First Embodiment]
A first embodiment of the system of the present invention (hereinafter referred to as “this embodiment” as appropriate) will be described with reference to FIGS.

  FIG. 1 is a block diagram showing a schematic configuration of this embodiment of the system of the present invention. The system 1 of the present invention shown in FIG. 1 includes a storage unit 2 and a visual data generation unit 3.

  The storage unit 2 stores energy consumption data (hereinafter referred to as “standard energy consumption data”) and temperature data of a consumer (hereinafter referred to as “standard energy consumer”) exhibiting standard energy consumption behavior. Information indicating the correlation (hereinafter referred to as “standard energy consumption temperature sensitivity data”) is stored. Here, the standard energy consumption amount temperature sensitivity data may be obtained by calculating an average value of energy consumption amounts for each temperature of a plurality of energy consumers extracted as samples for each temperature. .

  When the visual data generation unit 3 reads the standard energy consumption temperature sensitivity data from the storage unit 2, the visual data generation unit 3 graphs the correlation between the standard energy consumption data and the temperature data based on the data. The graph created at this time is described as a “standard temperature sensitivity curve”. Specifically, first, a part or all of the standard energy consumption temperature sensitivity data recorded in the storage means 2 is read, and one axis is used as temperature data, and the other axis is used as standard energy usage data. Plot the point where each data is located. Then, the standard temperature sensitivity curve is generated by connecting these plotted points with a straight line or a curve. At this time, a predetermined statistical approximation method (such as a linear approximation method) may be used.

  Further, the visual data generating means 3 is externally applied to the target energy consumer (hereinafter referred to as “target energy consumption data”) and temperature data relating to the data creation target date (hereinafter referred to as “target temperature data”). ), The points specified based on these data are plotted on the same graph as the standard temperature sensitivity curve. In the following, the point specified by the target energy consumption data and the target temperature data is referred to as a “target temperature sensitivity point”, and the standard temperature sensitivity curve and the target temperature sensitivity point are described on the same graph. Is described as “visual data”.

  In FIG. 1, as an example, the target energy consumption data is given from the energy consumption measuring means 4 for measuring the energy consumption of the target energy consumer to the visual data generating means 3, and the target temperature data is designated. The temperature data acquisition unit 5 configured to be able to acquire the temperature data related to the selected date is given to the visual data generation unit 3. In the present embodiment, any method may be used for providing the target energy consumption data and the target temperature data to the visual data generation means 3. FIG. 2 shows, as another example, a case where the target energy consumption data and the target temperature data are given from the storage unit 2 to the visual data generation unit 3.

  As an example of the mode of FIG. 2, for example, the energy consumption measuring unit 4 measures the daily energy consumption of the target energy consumer, and this data (daily energy consumption data) is recorded in the storage unit 2. . On the other hand, temperature data relating to the energy consumption area of the target energy consumer, or temperature data of an area that can be referred to as the temperature is acquired by the temperature data acquisition unit 5 every day, and this temperature data is recorded in the storage unit 2. When given predetermined information for specifying the data creation target date (hereinafter referred to as “data creation target date specifying information”), the visual data generation means 3 is provided with the energy related to the data creation target date specified by the information. Consumption data and temperature data are extracted from the storage means 2 and read as target energy consumption data and target temperature data, respectively. The visual data generating means 3 separately reads the standard energy consumption temperature sensitivity data from the storage means 2 to create a standard temperature sensitivity curve, and the object read from the storage means 2 on the same graph as this curve. Plot target temperature sensitivity points specified by energy consumption data and target temperature data to generate visual data.

  FIG. 3 is a diagram showing an example of the visual data generated by the visual data generating means 3 by the above method. FIG. 3 shows the standard temperature sensitivity curve NC and the target temperature sensitivity point TSd when the horizontal axis is the temperature and the vertical axis is the energy consumption. In FIG. 3, since power is assumed as an energy consumption target, the energy consumption on the vertical axis is expressed as power consumption (unit: kWh). That is, in this case, the standard energy consumption temperature sensitivity data is data indicating a correlation between at least the standard energy consumer's daily total power consumption and the temperature (hereinafter referred to as “standard daily power consumption temperature sensitivity data”). ), And the standard temperature sensitivity curve NC generated by the visual data generating means 3 represents the total electric energy (daily electric energy) consumed by a standard energy consumer per day at a predetermined temperature. The graph is displayed for each temperature.

  In this case, when the target energy consumption data represented by the daily power amount of the target energy consumer related to the predetermined data creation target date and the target temperature data are given to the visual data generation means 3, the visual data generation is performed. The means 3 generates the visual data by plotting the target energy consumption data and the target temperature sensitivity point TSd specified by the target temperature data on the same graph as the standard temperature sensitivity curve NC. The visual data generation means 3 sends the visual data generated in this way to a predetermined display means (not shown), and the target energy consumer displays the display contents related to the visual data on the display means (display etc.). Can be confirmed visually.

  For example, when the target energy consumer confirms the visual data as shown in FIG. 3, his / her energy consumption exceeds the standard energy consumption (power consumption) on the data creation target date. Can be used as an opportunity to practice more energy-saving behavior in the future. Since the standard temperature sensitivity curve NC displayed on the visual data shown in FIG. 3 is derived based on the actual energy consumption of a plurality of energy consumers, it is the same because it is objective. If the energy consumption amount represented by the target temperature sensitivity point TSd exceeds the energy consumption amount represented by the standard temperature sensitivity curve NC under the air temperature, the energy consumption of the target energy consumer is determined. Can claim directly that they are consuming much more energy than standard energy consumers.

  The target temperature sensitivity point TSd shown in FIG. 3 is a point determined based on target energy consumption data and target temperature data (near 30 ° C.) related to a data creation target day in summer. Under such temperature, the increase in energy consumption is largely derived from the increase in cooling demand. This can also be understood from the fact that the standard temperature sensitivity curve NC rapidly rises as the temperature rises from around 24 ° C.

  Therefore, according to the visual data in which the target temperature sensitivity point TSd as shown in FIG. 3 is plotted, the energy consumption tendency of the target energy consumer is higher than the standard energy consumer. It can be said that it is an intuitive suggestion of the state. As a result, the target energy consumer omits his / her own energy consumption behavior and takes measures such as increasing the set temperature of the cooling device somewhat in the future or stopping the cooling operation in the absence space. As a result, an incentive to bring the energy consumption amount under the same temperature close to the standard temperature sensitivity curve NC works.

  Further, the visual data generating means 3 generates visual data by plotting target temperature sensitivity points related to a plurality of data creation target dates on the same graph, thereby further objectively observing the energy consumption tendency of the target energy consumer. Can be evaluated.

  FIG. 4 plots the target temperature sensitivity point determined based on the target energy consumption data for a certain 30 days and the temperature data on that day on a graph showing the same standard temperature sensitivity curve NC as in FIG. It is a thing.

  For example, in the configuration shown in FIG. 2, the storage means 2 stores energy consumption amount data of a target energy consumer related to a plurality of days including the corresponding 30 days and temperature data of the corresponding day. And In this case, when the data creation target date specifying information for specifying the 30th day is given to the visual data generating means 3, the visual data generating means 3 is provided for the 30 days specified by the information. The energy consumption data and the temperature data related to the data creation target date are extracted from the storage means 2 and read out as the target energy consumption data and the target temperature data, respectively, on the graph showing the standard temperature sensitivity curve NC. The target temperature sensitivity point group TSd0 related to the 30th is plotted. As a result, visual data as shown in FIG. 4 is generated.

  Referring to the visual data as shown in FIG. 4, the target temperature sensitivity points for most of the displayed 30 days are located above the standard temperature sensitivity curve NC on the graph. Therefore, the fact that the target energy consumer is in a state where the energy consumption is higher than that of the standard energy consumer can be recognized more objectively.

  Moreover, since the target temperature sensitivity point group TSd0 has a shape that rises as the energy consumption increases as the temperature rises, the energy consumption related to the data creation target day includes energy consumption derived from cooling demand. Therefore, it can be recognized that the energy consumption amount related to the cooling consumption can be reduced to approach the energy consumption amount of a standard energy consumer.

  For example, as shown in FIG. 3, when only the target temperature sensitivity point for one day is plotted, it may be assumed that the energy consumption has increased because there was a visitor on a day corresponding to the data creation target day. Therefore, it can be said that it can be said that the target energy consumer always concludes that the energy consumption is constantly higher than the standard energy consumer from the display result of FIG.

  However, as shown in FIG. 4, by expressing the target temperature sensitivity points related to a plurality of days together with the standard temperature sensitivity curve NC on the same graph, the target energy consumer is constantly compared with the standard energy consumer. It can be determined that the energy consumption tends to be large. Therefore, by allowing the target energy consumer to confirm the visual data as shown in FIG. 4, it can be a motivation to practice the energy-saving behavior in the future as well as to omit the self-energy consumption behavior so far. .

  In particular, as shown in FIG. 4, in the case of a target energy consumer that consumes a large amount of energy under high temperatures, it is considered that the cooling consumption is large as described above. Incentives to bring the energy consumption at the same temperature close to the standard temperature sensitivity curve NC by taking measures such as raising the temperature somewhat or stopping the cooling operation in the absence space .

  FIG. 5 is visual data in which the target temperature sensitivity point group TWd0 related to 30th (winter) different from FIG. 4 is represented on the same graph as the standard temperature sensitivity curve NC. Under the air temperature represented by the target air temperature sensitivity point group TWd0 shown in FIG. 5, the increase in energy consumption is largely derived from the increase in heating demand. This can also be understood from the fact that the standard temperature sensitivity curve NC increases rapidly as the temperature decreases from around 10 ° C.

  The target energy consumer refers to the visual data as shown in FIG. 5 so that the target temperature sensitivity points for most of the displayed 30 days are more graphs than the standard temperature sensitivity curve NC. The fact that it is located above can recognize the fact that its energy consumption is higher than that of a standard energy consumer.

  In particular, according to FIG. 5, the target temperature sensitivity point group TWd0 of the target energy consumer has a shape that rises to the left, with the energy consumption generally increasing as the temperature decreases. And the inclination is larger than the inclination of the standard temperature sensitivity curve NC. That is, it is assumed that the target energy consumer has a relatively large increase in energy consumption derived from heating consumption due to a decrease in temperature compared to the standard energy consumer. By reducing the set temperature of the device to some extent or by taking countermeasures such as stopping the heating operation in the absence space, the energy consumption amount under the same temperature is attempted to approach the standard temperature sensitivity curve NC. Incentives work.

  FIG. 6 is visual data in which the target temperature sensitivity point group TMd0 relating to another 30th (mid-season) different from FIGS. 4 and 5 is represented on the same graph as the standard temperature sensitivity curve NC. . According to the standard temperature sensitivity curve NC, it can be seen that the energy consumption is hardly influenced by changes in the temperature under the temperature indicated by the target temperature sensitivity point group TMd0 shown in FIG. This means that the power consumption related to the relevant day is a small proportion derived from air conditioning such as cooling or heating, and is consumed continuously throughout the year (electric equipment other than air conditioning such as lighting, TV, refrigerator) This means that the ratio of power consumption derived from is large.

  The target energy consumer refers to the visual data as shown in FIG. 6 so that the displayed target temperature sensitivity point group TMd0 for 30 days is slightly more on the graph than the standard temperature sensitivity curve NC. Recognize the fact that because of its position above, its energy consumption is generally high when compared to standard energy consumers, although not as much be able to. Then, under the intermediate air temperature represented by the target air temperature sensitivity point group TMd0 shown in FIG. 6, it is considered that the power consumption derived from the base load is large, so that the target energy consumer will illuminate in the absence space in the future. By taking countermeasures such as turning off the power of the TV or raising the set temperature of the refrigerator, an incentive to bring the energy consumption amount related to the same temperature close to the standard temperature sensitivity curve NC works.

  As described above, the visual data generating means 3 included in the system 1 of the present invention generates visual data as shown in each of FIGS. 3 to 6, thereby objectively determining the energy consumption tendency of the target energy consumer. And can be used as a guideline for future energy saving actions. In addition, by describing the target temperature sensitivity point on the same graph as the standard temperature sensitivity curve, there is an effect of promoting energy saving behavior according to the energy consumption tendency of the target energy consumer.

  Specifically, if the target temperature sensitivity point is located above the standard temperature sensitivity curve in the region where the standard temperature sensitivity curve is rising, it is suggested that the energy consumption related to cooling consumption is large. Therefore, the target energy consumer can recognize that it is necessary to focus on the energy-saving action to reduce the energy consumption related to the cooling consumption.

  In addition, if the target temperature sensitivity point is located above the standard temperature sensitivity curve in the area where the standard temperature sensitivity curve is rising, it is suggested that there is a lot of energy consumption related to heating consumption. The energy consumer can recognize that it is necessary to focus on the energy saving action to reduce the energy consumption related to the heating consumption.

  Furthermore, if the target temperature sensitivity point is located above the standard temperature sensitivity curve in the region where the standard temperature sensitivity curve shows a substantially horizontal state, it is suggested that the energy consumption related to power consumption derived from the base load is large. Therefore, the target energy consumer can recognize that it is necessary to focus on the energy saving action for reducing the energy consumption related to the power consumption derived from the base load.

  As described above, since the energy consumption tendency of the target energy consumer can be recognized in detail based on the visual data, each target energy consumer can perform an effective energy saving action based on his own energy consumption tendency. Can be practiced. In addition, when power consumption is used as energy consumption, the data that is actually used is only the daily power amount data, the temperature data of the corresponding day, and the standard daily power amount temperature sensitivity data of the target energy consumer. The data to be actually measured in the energy consumption area of the target energy consumer may be only the daily power amount data. That is, visual data can be created using daily power consumption measured by a normal watt-hour meter, and no other measurement system is required. For this reason, it is possible to present information related to its own energy consumption tendency to the target energy consumer without installing a dedicated measuring means.

  In FIG. 2, the visual data generation means 3 includes a date specified by the information (hereinafter referred to as “specified date”) when given data creation target date specifying information for specifying a certain day. A predetermined plurality of days (for example, the latest 30 days) may be used as the data creation target day, and the corresponding target energy consumption data and target temperature data may be read from the storage unit 2 and the target temperature sensitivity points may be plotted on the graph. . In this case, by appropriately changing the data creation target date specifying information, the shape formed by the plotted target temperature sensitivity point group changes each time. Thereby, for example, the visual energy is generated intermittently while appropriately changing the data creation target date specifying information, and by confirming these, the target energy consumer can visually check his past energy consumption trend. Can grasp.

  At this time, the visual data generation means 3 plots the target temperature sensitivity point related to the specified date and the target temperature sensitivity point related to the data creation target date other than the specified date with different appearances (shape, pattern, color, etc.). By doing so, the visual data may be created. FIG. 7 is a graph in the case where the visual data shown in FIG. 4 is plotted with a different appearance from the target temperature sensitivity points on the designated date than the target temperature sensitivity points on the designated date. By doing in this way, the objective evaluation with respect to the energy consumption tendency concerning a designated day can be performed at a glance based on the own energy consumption tendency and the standard temperature sensitivity curve in the past past plural days. In the following, the visual data created by plotting the target temperature sensitivity points related to a plurality of days including the designated date may be configured similarly.

  Furthermore, in this case, the visual data may be generated using the predetermined multiple days including the designated date and the corresponding one day in the past year or multiple years as the data creation target date. In this case, the target energy consumer can visually grasp his / her yearly energy consumption trend.

[Second Embodiment]
A second embodiment of the system of the present invention (hereinafter referred to as “this embodiment” as appropriate) will be described with reference to FIG.

  FIG. 8 is a block diagram showing a schematic configuration of the system of the present invention according to this embodiment. The system 1a of the present invention shown in FIG. 8 is further compared to the system 1 of the first embodiment shown in FIG. 1 or FIG. Is different. And this invention system 1a is the structure by which the energy consumption amount data of several energy consumers including a target energy consumer are given from this input / output means 8 via the telecommunication line NW.

  Moreover, in this embodiment, it is the structure provided with the memory | storage means 2a instead of the memory | storage means 2 with which this invention system 1 in 1st Embodiment was provided. Similar to the storage unit 2, the storage unit 2a stores standard energy consumption temperature sensitivity data, and further stores energy consumption data related to a plurality of energy consumers in a state having a predetermined association with the temperature data. is doing.

  Hereinafter, the configuration of the inventive system 1a according to the present embodiment will be described.

  The input / output means 8 is configured to be able to receive energy consumption data of each energy consumer (CT, C1, C2,...) Via the telecommunication line NW. In the following, an energy consumer to be subjected to energy saving support using the system of the present invention is referred to as a target energy consumer CT, and is described separately from other energy consumers (C1, C2,...).

  Each energy consumer (CT, C1, C2,...) Has an energy consumption measuring means (not shown) for measuring its own daily energy consumption, and the daily energy generated based on the measurement results. Energy consumption data is transmitted to the inventive system 1 via the telecommunication line NW. At this time, after the measurement of the energy consumption for one day is completed, the energy consumption data based on the measurement result may be transmitted every day, and the energy consumption for a plurality of days may be energy consumption measuring means. The energy consumption data for a plurality of days may be transmitted at a time under a predetermined number of days interval.

  The energy consumption amount data of each energy consumer given to the input / output means 8 is accumulated in the storage means 2a. At this time, it is assumed that the energy consumption data is accumulated in the storage unit 2a in a state identified for each energy consumer.

  The storage means 2a stores the temperature data fetched from the temperature data acquisition means 5 via the input / output means 8 at a predetermined timing. At this time, temperature data at one or a plurality of points that can be referred to as the temperature of the energy consumption region (consumption point) of each energy consumer (CT, C1, C2,...) Is taken from the temperature data acquisition means 5. . And in the memory | storage means 2a, each energy consumption amount data currently recorded in the state identified for each energy consumer has a state with the temperature data concerning the target day on which the consumption amount data was measured ( For example, it is recorded in a database format. At this time, it is assumed that temperature data of a point that can be referred to as the temperature of the energy consumption area is associated with each energy consumer.

  The standard energy consumption temperature sensitivity data generation means 7 is based on the energy consumption data related to a plurality of energy consumers stored in the storage means 2a and the temperature data associated with the consumption data. Consumption amount temperature sensitivity data is generated and recorded in the storage means 2a. The description of the standard energy consumption temperature sensitivity data is omitted because it overlaps with the first embodiment.

  For example, it is assumed that the target energy consumer CT gives an instruction to the system 1a of the present invention to confirm his / her visual data. Specifically, it may be performed by accessing the system 1 of the present invention via the telecommunication line NW using its own communication terminal. At this time, a predetermined identification ID for identifying itself can be transmitted to the present system 1a. In addition, the target energy consumer CT also transmits data creation target date specifying information for specifying the data creation target date, which is the target of visual data generation, to the system 1a of the present invention.

  Upon confirming the transmitted identification ID, the present invention system 1a gives the identification ID to the visual data generating means 3 as target energy consumer specifying information, and also generates visual data for the data creation target date specifying information. This is given to means 3. The visual data generation means 3 is the energy consumption amount of the energy consumer (target energy consumer CT) specified by the target energy consumer specifying information on the data creation target date specified based on the data creation target date specifying information. Data (that is, corresponding to “target energy consumption data”), temperature data on the data creation target date (that is, corresponding to “target temperature data”), and standard energy consumption temperature sensitivity data are read from the storage unit 2a. Then, as in the first embodiment, a standard temperature sensitivity curve is created based on the standard energy consumption temperature sensitivity data, and the target temperature sensitivity point specified by the target energy consumption data and the target temperature data is displayed on the same graph. Plot and generate visual data. The generated visual data can be viewed by the target energy consumer CT via the input / output unit 8 and the telecommunication line NW.

  According to the configuration of the present embodiment, the same system can generate visual data based on the target temperature sensitivity point of each energy consumer for each of the plurality of energy consumers. In such a configuration, a predetermined authentication process may be performed before the generation of the visual data in order to prevent other energy consumers from viewing the visual data.

  For example, it is assumed that each energy consumer individually has the identification ID and password. In this case, when the target energy consumer CT accesses the inventive system 1a from his / her communication terminal (not shown) via the telecommunication line NW, the inventive system 1a inputs the identification ID and password. The authentication process is performed using the identification ID and the password, and the visual data can be browsed only when the authentication is correctly performed. In such a case, when the identification ID and password for authentication processing are recognized by the input / output means 8, information relating to the identification ID and password is given by the authentication processing means (not shown) on the system 1a of the present invention. The processing means determines whether or not the connection source may permit connection to the system 1a of the present invention. When it is determined that the connection can be permitted, information indicating that is transmitted to the communication terminal of the target energy consumer CT and the communication terminal can access the present system 1a. Is determined not to be accepted, information to that effect is transmitted to the communication terminal and access from the communication terminal to the system 1 of the present invention is denied.

  In the case where the authentication process is performed, the system 1a of the present invention specifies the target energy consumer CT based on the input identification ID, and creates a target for creating visual data only when the authentication is completed. The input of the data creation target date specifying information to be identified is requested, and the visual data related to the target energy consumer CT is determined based on the identification ID (corresponding to the target energy consumer specifying information) and the data creation target date specifying information. Generation may be performed.

  Also in the present embodiment, when data creation target day specifying information for designating a certain day is given, a predetermined plurality of days (for example, the latest 30 days) including the designated date designated by the information are given as the data creation target. As the date, the corresponding target energy consumption data and target temperature data may be read from the storage unit 2a and the target temperature sensitivity point may be plotted on the graph.

  In the present embodiment, the energy consumption data relating to a plurality of energy consumers including the target energy consumer may be stored in the storage unit 2a in a state having a predetermined association with the temperature data. Any method may be used from the measurement of the consumer's energy consumption data to the recording of the measurement result in the storage means 2a. That is, as shown in FIG. 8, the present invention is not limited to the case where the energy consumption amount data of each energy consumer is transmitted to the input / output means 8 via the telecommunication line NW. It is possible to record the energy consumption data of each energy consumer by directly inputting the acquired value acquired by performing the above to the terminal having the storage means 2a.

[Third Embodiment]
A third embodiment of the system of the present invention (hereinafter referred to as “this embodiment” as appropriate) will be described with reference to FIGS. 9 to 12.

  The present embodiment is different from the first or second embodiment only in that the visual data is configured to be able to be calculated for each predetermined time zone, and the rest is common to the above embodiments. It is. Hereinafter, the present invention system according to the present embodiment will be described as having the same configuration as the present invention system 1a according to the second embodiment.

  In the present embodiment, the energy consumption amount data of each day of each energy consumer (CT, C1, C2,...) Is given to the present invention system 1a via the telecommunication line NW as data for each predetermined small time zone. It is the structure which is made. And the memory | storage means 2a stores the energy consumption amount data of several energy consumers as data for every predetermined | prescribed small time slot | zone for every day.

  For example, when the energy consumption data of each day of each energy consumer (CT, C1, C2,...) Is given to the present invention system 1a as hourly data, the storage means 2a has one hour per day. Energy consumption data for 24 hours is recorded every time. In such a case, it is preferable to use power consumption data that has a large change in consumption for each time zone and is unlikely to have a minimum consumption of 0 as target energy consumption data.

  In the present embodiment, the temperature data acquisition unit 5 acquires the temperature data for each day for each small time period and stores it in the storage unit 2a. Then, the standard energy consumption temperature sensitivity data generation means 7 reads out the temperature data and the energy consumption data for each small time period or each medium time period composed of continuous small time periods, and reads the standard energy consumption temperature Generate sensitivity data.

  For example, when energy consumption amount data and temperature data of each day of each energy consumer (CT, C1, C2,...) Are stored in the storage means 2a as hourly data, respectively, the standard energy consumption The quantity temperature sensitivity data generating means 7 may generate the standard energy consumption temperature sensitivity data every hour, and from 1 am to 6 am, from 6 am to 0 pm Standard for each medium time zone when disassembled into four medium time zones from 1 pm to 6 pm and from 6 pm to midnight (1st to 4th middle time zones) The energy consumption temperature sensitivity data may be generated. When the standard energy consumption temperature sensitivity data is generated for each medium time zone, it is determined (for example, by derivation of an average value) based on the total air temperature data for each small time zone that constitutes the medium time zone. One temperature data may be adopted as the temperature data relating to the intermediate time zone.

  The visual data generation means 3 is the energy consumption amount of the energy consumer (target energy consumer CT) specified by the target energy consumer specifying information on the data creation target date specified based on the data creation target date specifying information. Data (that is, corresponding to “target energy consumption data”), temperature data on the data creation target date (that is, corresponding to “target temperature data”), and standard energy consumption temperature sensitivity data are read from the storage unit 2a. Then, a standard temperature sensitivity curve is created based on the standard energy consumption temperature sensitivity data, and the target temperature sensitivity point specified by the target energy consumption data and the target temperature data is plotted on the same graph, and the visual data is obtained. Generate.

  At this time, the visual data generating means 3 may create all the visual data for each medium time zone, and is configured in advance so that the target energy consumer CT can specify the medium time zone to be created. In this case, the visual data generation means 3 may create only the visual data relating to the designated intermediate time zone. In the latter case, the visual data generation means 3 receives from the storage means 2a the target energy consumption data relating to the designated middle time zone, the target temperature data relating to the designated middle time zone, and the designated middle time zone. Only the standard energy consumption temperature sensitivity data related to the time zone may be read to generate visual data.

  FIG. 9 and FIG. 10 show the data creation target days for each of the middle time zones (the above first to first) when the last 30 days including a designated date in the summer specified by the data creation target date specifying information are set. It is an example of visual data (every 4 middle time zones) (divided into 2 drawings for the sake of space). FIG. 9A, FIG. 9B, FIG. 10A, and FIG. 10B correspond to visual data relating to the first to fourth intermediate time zones, respectively. In addition, as for each axis | shaft of a graph, the horizontal axis represents temperature similarly to FIG. 3, and the vertical axis | shaft represents energy consumption (electric power consumption). In addition, it is assumed that visual data relating to the entire data creation target date is represented in FIG.

  In FIG. 9A, the target temperature sensitivity point TS1 related to the first middle time zone on the designated date and the 30th day including the designated date on the graph showing the standard temperature sensitivity curve NC1 related to the first middle time zone. The target temperature sensitivity point group TS10 related to the data creation target day is plotted. Similarly, in FIG. 9B, on the graph showing the standard temperature sensitivity curve NC2 related to the second middle time zone, the target temperature sensitivity point TS2 related to the second middle time zone on the designated date and the designated date are displayed. The target temperature sensitivity point group TS20 related to the data creation target day for 30 days is plotted. In FIG. 10A, on the graph showing the standard temperature sensitivity curve NC3 related to the third middle time zone, the target temperature sensitivity point TS3 related to the third middle time zone on the designated date and 30 days including the designated date. The target temperature sensitivity point group TS30 related to the data creation target day is plotted. In FIG. 10 (b), on the graph showing the standard temperature sensitivity curve NC4 related to the fourth middle time zone, the target temperature sensitivity point TS4 related to the fourth middle time zone on the designated date and 30 days including the designated date. The target temperature sensitivity point group TS40 related to the data creation target day is plotted.

  Referring to each of FIGS. 9 and 10, the target energy consumer CT tends to spend less energy in the first and second intermediate time periods than the standard energy consumer, In the third and fourth intermediate time zones, it can be recognized that the energy consumption tends to be large overall as compared with a standard energy consumer. And since the area | region which shows the value which exceeds the standard temperature sensitivity curve NC3 or NC4 in the 3rd and 4th middle time slot | zone is under the area | region where the standard temperature sensitivity curve draws up, it is object energy consumer CT This suggests that the energy consumption related to the cooling consumption is relatively large in the intermediate time period. Therefore, the target energy consumer CT recognizes that it is necessary to focus on energy-saving actions to reduce energy consumption related to cooling consumption, especially in the third and fourth middle time zones, that is, the afternoon time zone. Can do.

  In this way, by dividing the day into predetermined middle time zones (here, every 6 hours) and generating visual data for each middle time zone, compared with the first and second embodiments. Further, it is possible to recognize a detailed energy consumption tendency of the target energy consumer CT, and to provide useful information for practicing effective energy saving behavior in the future.

  For comparison, FIG. 11 is a graph showing the energy consumption of the target energy consumer CT for each time zone related to the specified date, and FIG. 11 shows the target energy consumption for each day related to the data creation target day (30 days). A graph showing the energy consumption of the person is shown in FIG. In these graphs, the energy consumption amount of the target energy consumer and the energy consumption amount of the standard energy consumer in the same time period or the same day are shown side by side for comparison.

  Referring to FIG. 11, although the target energy consumer CT can recognize that there is a large amount of energy consumption after the evening on the designated date, is the energy consumption immediately derived from cooling consumption? Judgment cannot be made. In addition, by referring to FIG. 12, it is recognized that the target energy consumer generally tends to consume more energy than the standard energy consumer over the data creation target date (30 days). Although it is possible, it is impossible to immediately determine whether the energy consumption is derived from the cooling consumption only from the display content of FIG.

  On the other hand, by referring to each of FIGS. 9 and 10, the target energy consumer CT can recognize a tendency in which time zone the energy consumption derived from the cooling consumption is relatively large. In addition, in other periods (for example, the period assumed in FIG. 4 or FIG. 5 above), the energy consumption situation derived from heating consumption or base load consumption is similarly formed by forming visualization data for each time zone. Can also be recognized.

  In the above description, the present system according to the present embodiment has been described as being the same as the present system 1a according to the second embodiment. However, the present system 1 according to the first embodiment The same can be realized when they are the same. In such a case, the standard energy consumption temperature sensitivity data for each predetermined small time zone (for example, every hour) is stored in the storage means 2 included in the system 1 of the present invention according to the first embodiment, and the predetermined short time When the target energy consumption data and the target temperature data are given to the present system 1 as the data for each band, the visual data generating means 3 is composed of a predetermined small time period or a continuous small time period. Visual data can be generated for each time zone.

[Another embodiment]
Hereinafter, another embodiment of the system of the present invention will be described.

  <1> When generating standard energy consumption temperature sensitivity data, a plurality of energy consumers showing the same energy consumption tendency as the target energy consumer CT are extracted in advance, and the energy of the extracted energy consumers is extracted. The standard energy consumption temperature sensitivity data may be generated based on the consumption data and the temperature data. In this case, in the system 1a of the present invention having the configuration of FIG. 8, the identification ID is input to the input / output means 8, and after the authentication process is completed, the target energy consumer CT is specified based on the identification ID. The standard energy consumption temperature sensitivity data indicated by a plurality of energy consumers showing the same energy consumption tendency as the specified target energy consumer CT is read from the storage unit 2a.

  By configuring in this way, the standard energy consumption temperature sensitivity data is calculated based on the energy consumption with other energy consumers showing the same energy consumption tendency as the target energy consumer CT. The standard temperature sensitivity curve to which the sensitivity point (group) is compared is created based on data based on the energy consumption of multiple energy consumers that are close to their own energy consumption trend. Objective evaluation is possible.

  The standard energy consumption temperature sensitivity data for each energy consumption trend may be generated in advance by the standard energy consumption temperature sensitivity data generation means 7 and recorded in the storage means 2a. The standard energy consumption temperature sensitivity data generation means 7 may be generated each time a generation instruction is given.

  At this time, for example, in the storage unit 2a, when the floor area of the energy consumption area of each energy consumer is divided into a plurality of segments according to the size, the floor indicating which segment each energy consumer belongs to When the area information is registered, the standard energy consumption temperature sensitivity data generation means 7 stores the energy consumption data related to the energy consumer indicating the same floor area information as the target energy consumer CT from the storage means 2a. It may be configured to calculate the energy saving evaluation index by reading.

  Other methods for extracting consumers exhibiting the same level of energy consumption as the target energy consumer include information on the family structure of the energy consumer, the presence or absence of daytime homes, and a predetermined period (particularly in March). It may be extracted with reference to the actual value of power consumption in the middle season (October or the like) or the power usage fee.

  <2> In each of the above-described embodiments, the energy consumption data given to the input / output unit 8 is configured by data indicating the power consumption (daily power amount or power amount per predetermined unit time). However, in addition to this, hot water consumption data or gas consumption data may be added. In such a case, for these items, a standard temperature sensitivity curve is created in the same manner as in each of the above embodiments, and the target temperature sensitivity point (group) is plotted on the same graph, so that the energy with the standard energy consumer can be obtained. It is possible to objectively compare consumption trends. Hot water consumption or gas consumption tends to increase, especially in winter. In winter, the target temperature sensitivity point (group) is represented on the same graph as the standard temperature sensitivity curve, and the target energy consumer CT is used as visual data. By visually confirming the above, it is possible to re-recognize the hot water supply or gas consumption tendency and to motivate future energy saving action related to the item.

The block diagram which shows schematic structure of 1st Embodiment of the energy-saving action assistance system which concerns on this invention. Another block diagram which shows schematic structure of 1st Embodiment of the energy-saving action assistance system which concerns on this invention. The figure which shows an example of the visual data produced | generated by the visual data production | generation means (summer) The figure which shows another example of the visual data produced | generated by the visual data production | generation means (summer) The figure which shows another example of the visual data produced | generated by the visual data production | generation means (winter season) The figure which shows another example of the visual data produced | generated by the visual data production | generation means (mid season) The figure which shows another display format of the visual data produced | generated by the visual data production | generation means The block diagram which shows schematic structure of 2nd Embodiment of the energy-saving action support system which concerns on this invention. The figure which shows an example of the visual data produced | generated by the visual data production | generation means with which 3rd Embodiment of the energy-saving action assistance system which concerns on this invention is provided. The figure which shows an example of the visual data produced | generated by the visual data production | generation means with which 3rd Embodiment of the energy-saving action assistance system which concerns on this invention is provided. The graph which shows the energy consumption of the target energy consumer according to the time zone which relates to the designated day The graph which shows the energy consumption of the target energy consumer according to the day concerning the data creation target day (multiple days)

Explanation of symbols

1: Energy saving action support system 2, 2a according to the present invention, storage means 3: visual data generation means 4: energy consumption measurement means 5: temperature data acquisition means 7: standard energy consumption temperature sensitivity data generation means 8: input Output means NC, NC1 to NC4: Standard temperature sensitivity curve TMd0: Target temperature sensitivity point group related to mid season TS1 to TS4, TS10 to TS40: Target temperature sensitivity point (group) related to summer season
TSd, TSd0: Target temperature sensitivity points for summer (group)
TWd0: Target temperature sensitivity points for winter

Claims (11)

Storage means for storing standard energy consumption temperature sensitivity data which is information indicating the correlation between standard energy consumption data which is energy consumption data of standard energy consumers indicating standard energy consumption behavior and temperature data When,
Visual data generation means for comparing the energy consumption behavior of the target energy consumer with the standard energy consumer and generating visual data for visualizing the comparison result,
The visual data generating means is
A standard temperature sensitivity curve is created by reading the standard energy consumption temperature sensitivity data from the storage means and graphing the correlation between the standard energy consumption data and the temperature data, and the data creation target date When target energy consumption data that is energy consumption data of the target energy consumer and target temperature data that is temperature data related to the data creation target date are given, the target is displayed on the same graph as the standard temperature sensitivity curve. An energy-saving action support system, wherein the visual data is generated by plotting target temperature sensitivity points determined by energy consumption data and the target temperature data. The storage means
Storing the energy consumption data of the target energy consumer related to a plurality of days, and the temperature data of the corresponding day,
The visual data generating means is
When a plurality of data creation target date specifying information are given, a plurality of the target energy consumption data and the target temperature data, each of which is a data creation target date that is specified by the data creation target date specifying information. The visual data is generated by plotting each of the target temperature sensitivity points determined for each data creation target date on the same graph as the standard temperature sensitivity curve while reading from the storage means. The energy saving action support system according to claim 1. The storage means
Storing the energy consumption data of the target energy consumer related to a plurality of days, and the temperature data of the corresponding day,
The visual data generating means is
When one data creation target date specifying information is given, a plurality of the target energy consumption data having a predetermined plurality of days including a specified date specified by the data creation target date specifying information as the data creation target date, and Read the target temperature data from the storage means, and generate the visual data by plotting the target temperature sensitivity points determined for each data creation target date on the same graph as the standard temperature sensitivity curve. The energy saving action support system according to claim 1. The storage means records daily energy consumption data of a plurality of energy consumers including the target energy consumer, and records it in a state having an association with the temperature data for each day,
The daily energy consumption data of the plurality of energy consumers and the temperature data of the corresponding day are read from the storage means, and the standard energy consumption data for each day based on the energy consumption data of the plurality of energy consumers. The standard energy consumption temperature sensitivity data is created by associating the derived standard energy consumption data with the temperature data of the corresponding day to create the standard energy consumption temperature sensitivity data and recording it in the storage means The energy saving action support system according to claim 1, further comprising a generation unit. The visual data generating means is
When the target energy consumer specifying information for specifying the target energy consumer and the data generation target date specifying information for specifying the data generation target date are given, the target energy consumption specified by the target energy consumer specifying information And generating the visual data by reading out the target energy consumption data and the target temperature data from the storage means based on the data creation target date specified by the data creation target date specifying information. The energy saving action support system according to claim 4, wherein When the storage means classifies the energy consumption data of the plurality of energy consumers into a plurality of energy consumption attributes based on a predetermined rule, The energy consumption attribute to which each energy consumer belongs is stored in a recognizable state,
The standard energy consumption temperature sensitivity data generating means includes the energy consumers having the same energy consumption attribute as the energy consumption attribute to which the target energy consumer specified by the target energy consumer specifying information belongs. 6. The energy saving action support system according to claim 4, wherein the standard energy consumption temperature sensitivity data is generated based on energy consumption data. The visual data generating means is
When the target energy consumer specifying information and the data creation target date specifying information are given, the target energy consumer specified by the target energy consumer specifying information and the data creation target date specifying information are specified. The target energy consumption data and the target temperature data are read from the storage unit based on the specified date and the data creation target date specified in the most recent day or a plurality of days of the specified date, and the standard temperature sensitivity 7. The visual data is generated by plotting the target temperature sensitivity points related to all the data generation target dates on the same graph as a curve. The energy saving action support system described. The visual data generating means is
8. The target temperature sensitivity point related to the specified date and the target temperature sensitivity point related to the data creation target date other than the specified date are plotted with different appearances. The energy saving action support system described. The standard energy consumption temperature sensitivity data includes standard daily power amount temperature sensitivity data indicating a correlation between at least the total energy consumption of the standard energy consumer per day and the temperature;
The target energy consumption data includes target daily power amount data defined by at least a total power consumption amount of the data creation target day,
The visual data generating means is
The standard temperature sensitivity curve is created based on the standard daily power amount temperature sensitivity data, and the target temperature sensitivity point is determined by the target daily power amount data and the target temperature data on the same graph as the standard temperature sensitivity curve. The energy saving action support system according to any one of claims 1 to 8, wherein the visual data related to the power consumption action is generated by plotting. The standard energy consumption temperature sensitivity data further includes standard daily gas amount temperature sensitivity data indicating a correlation between the total daily gas consumption of the standard energy consumer and the temperature,
The target energy consumption data further includes target day gas amount data defined by a total consumption gas amount on the data creation target day,
The visual data generating means is
The target temperature determined by the target daily gas amount data and the target temperature data on the same graph as the standard temperature sensitivity curve while creating the standard temperature sensitivity curve based on the standard daily gas amount temperature sensitivity data The energy saving action support system according to claim 9, wherein the visual data related to gas consumption behavior can be generated by plotting sensitivity points. The storage means stores the standard energy consumption temperature sensitivity data for each small time zone when the day is divided into predetermined small time zones,
When the visual data generation means is provided with the target energy consumption data and the target temperature data as data for each of the small time periods or for each intermediate time period constituted by a plurality of continuous small time periods. Reading out the standard energy consumption temperature sensitivity data for each of the small time zones or the medium time zones from the storage means, and creating the standard temperature sensitivity curve for each of the small time zones or for each of the medium time zones. The visual data is generated by plotting the target temperature sensitivity point related to the small time zone or the middle time zone on the same graph as the standard temperature sensitivity curve for each of the small time zone or the middle time zone. The energy saving action support system according to any one of claims 1 to 10, wherein the energy saving action support system is configured to be possible.

Images