JP2002157305A - Method for providing data for correction for esco business and data structure for correction - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a data for correction such as correction coefficients whose reliability is especially high to be used for correcting reference energy outgoings being the judgment reference of the effects of energy saving measures in an ESCO business. SOLUTION: Energy consumption data capable of recognizing the changing situation of energy consumption in a plurality of facilities are collected from an energy supply agent so as to be related with attribute data related with the attributes of the facilities affecting the energy consumption, and the energy consumption data in the plurality of facilities are classified for each classification of the attribute data, and data for correction related with the changing situation of the energy consumption are obtained for each classification of the attribute data based on the energy consumption data, and a part or the whole part of the data for correction are provided to an ESCO agent or a customer being the target of the ESCO business.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a correction data for an ESCO business which provides correction data used for correcting a reference energy expenditure as a criterion for judging the effect of energy saving measures in an ESCO business. In the provision method and the ESCO business, it is used to correct the reference energy expenditure as a criterion of the effect of the energy saving measures,
The present invention relates to a correction data structure of computer-readable correction data.

[0002]

2. Description of the Related Art The above-mentioned ESCO (Energy)
The Service Company business is a business that provides comprehensive services related to energy saving and enjoys a part of the economic effects of energy saving measures on the customer side as a reward. The comprehensive services include diagnosis and consulting for energy conservation measures, concrete planning and construction of energy conservation measures, measurement and verification of effects after energy conservation measures are implemented, and maintenance of equipment introduced by energy conservation measures. All or a combination of financing and financing for management and energy conservation measures. Further, the ESCO business operator concludes an energy service contract with a customer in performing the ESCO business, and guarantees a certain economic effect of energy saving. In such an ESCO business, when the economic effect of energy saving measures is required, the standard energy expenditure, which is the expenditure on energy at the customer's facility before the energy saving measures are implemented, and the customer after the energy measures are implemented. The energy expenditure after the countermeasures, which is the expenditure on energy at the facilities on the side, was compared, and the difference was regarded as the economic effect of the energy saving measures, and a part of the economic effect was used as a reward for the ESCO operator.

[0003]

For example, comparing before and after the implementation of energy saving measures, the climate, such as temperature, season, the number of days in January, the economy, When the attribute of the facility, which is a factor such as the energy market trend or the like, the facility at the customer side, the number of customers, the business hours, or the type of business, which affects the energy consumption of the facility, changes, the energy consumption increases. Changes, the energy expenditure after the measure against the reference energy expenditure is
It changes regardless of energy saving measures. However, when the economic effect is obtained using the reference energy expenditure before the energy saving measures are performed as described above, the change in energy expenditure due to the overall factor and the individual factor is also included in the economic effect, and the economic effect is reduced. The reliability is reduced, and, for example, a customer or an ESCO operator cannot obtain a legitimate benefit from energy saving measures. Also, at the time of contract, the annual average temperature after the energy saving measures were taken into account by taking into account the rate of change of the annual average temperature before the energy saving measures were taken, in order to take into account such factors affecting the energy consumption. A coefficient may be determined to correct the reference energy expenditure. The correction factor for such reference energy expenditure is:
For example, when the change rate of the average temperature is -2%, the correction coefficient of the reference energy consumption is assumed to be + 2%, and the reference energy expenditure is calculated. Value, such a correction is ES
It varies from one CO operator to another and is not unified at all. In addition, the correction coefficient obtained from the empirical rule considering only the average temperature is particularly low in reliability, and it is difficult to convince the customer. Therefore, the present invention is used for correcting the reference energy expenditure, which is a standard for the effect of energy saving measures in the ESCO business, and aims to provide particularly reliable correction data such as the correction coefficient. .

[0004]

A first aspect of the present invention is a method for providing correction data for an ESCO business according to the present invention.
As described in the above, in the ESCO business, a method for providing correction data for the ESCO business, which provides correction data used to correct the reference energy expenditure as a criterion for determining the effect of energy saving measures, From an energy supplier, energy consumption data capable of recognizing a change state of energy consumption in a plurality of facilities is collected in association with attribute data on an attribute of the facility affecting the energy consumption, and the collected data is collected. Energy consumption data in a plurality of facilities are classified according to the classification of the attribute data, and based on the classified energy consumption data, correction data relating to a change state of the energy consumption is determined according to the classification of the attribute data, A part or all of the correction data is transferred to the ESCO business or the ESCO business. Characterized in that it provided to the customer to be the elephant.

[Function and Effect] The method for providing correction data for an ESCO business according to the present invention provides a standard which is used as a standard for the effect of energy saving measures in the ESCO business to the ESCO business or a customer who is a target of the ESCO business. It is intended to provide correction data such as a highly reliable correction coefficient used for correcting energy expenditure. ES of the present invention
In the method of providing correction data for the CO business, first,
Energy suppliers that supply basic energy such as gas, electric power, water, etc., calculate the energy consumption for several months or years at facilities, such as multiple offices and residences, with or without charge, based on the time of energy consumption. Various changes are collected as recognizable energy consumption data. In addition, the consumption data may be attributed to the attribute of the facility that affects the energy consumption of the facility, and may be the type of facility in a plurality of months or years corresponding to the energy consumption data from the energy supplier. , Scale, district, etc. are collected in association with data on the status of change. Then, next, the collected plurality of energy consumption data is classified according to the classification of the attribute data, that is, classified by industry, by size,
Classify by district, and further correct from the classified energy consumption data the change situation such as the rate of change of energy consumption over multiple months or years by category such as facility type, scale, district, etc. Find correction data such as coefficients.

[0006] By providing the correction data thus obtained to the ESCO operator or its customers, the ESC operator
In the O project, in order to determine the effect of the energy saving measures at a certain time in a certain facility, the classification of the certain facility relates to the reference time before the energy saving measures are taken and the change in energy consumption between the certain time and the reference time. The correction data such as the correction coefficient is searched, and the reference energy expenditure at the reference time is corrected based on the searched correction data. That is, an estimated value of the reference energy expenditure in the case where the energy saving measure is not performed can be obtained at the time of determining the effect of the energy saving measure by multiplying the reference energy expenditure by the retrieved correction coefficient. The difference between the reference energy expenditure corrected in this way and the energy expenditure at the certain time after the energy saving measure can be regarded as the economic effect of the energy saving measure, and the economic effect of the energy saving measure can be accurately obtained. it can. Therefore, in the ESCO business, it is used to correct the reference energy expenditure, which is the standard of the effect of the energy saving measures, and it is possible to provide particularly reliable correction data such as the correction coefficient. Since the correction data is obtained based on the energy consumption data obtained from the energy supplier, it is highly realistic. For example, it is required that the data be used as a standard correction data in the ESCO business for a fee. Can be.

[Structure 2] A method for providing correction data for an ESCO business according to the present invention is configured as described in claim 2 above. In addition, factor data related to factors other than the attribute of the facility that affects the energy consumption is collected in association with the attribute data, and the collected factor data is classified according to the classification of the attribute data, A part or all of the classified factor data is provided together with the correction data.

[Effects] In the method for providing correction data for the ESCO business of the present invention, as in the present configuration, climatic data information is provided as factor data relating to factors affecting energy consumption other than the facility attributes. Data on changes in average temperature and average rainfall in the months and years, etc. from traders, data on changes in business conditions in industries in the months, years, etc. from other information providers, and self-recognition Data on the change status such as the number of days in one month in the plurality of months or years can be collected for a fee or free of charge. And the business type, scale,
At least a portion of the factor data, such as the status of changes in the economy of that type of business or scale, and the status of changes in the average temperature of the region, classified according to the classification of the district, etc., together with the correction data,
Provide to SCO operators or customers. Then, for example, the ESCO operator or the customer can obtain the correlation between the change state of the energy consumption for each attribute data classification and the factor data for each attribute data classification. It is possible to estimate the future change in energy consumption from the correlation, the predicted change in the business type or scale of the business that affects the energy consumption in the future, and the predicted change in the average temperature in the area. It is possible to easily estimate the economic effect and the like when energy saving measures are taken in the future.

[Structure 3] According to the third aspect of the present invention, there is provided a method for providing correction data for an ESCO business according to the present invention. In addition to the above configuration, a guarantee coefficient indicating the likelihood of the correction data is obtained for each classification of the attribute data, and the guarantee coefficient is provided together with the correction data.

[Effects] As described above, the correction data for each attribute data category is obtained, and a guarantee coefficient indicating the likelihood of the dispersion state of the correction data is obtained. By providing the service to the ESCO operator or the customer, the ESCO operator or the customer can obtain the expected economic effect when calculating the expected economic effect by the energy saving measures by using the guarantee coefficient. An establishment can be requested, for example, and a guarantee amount of a reward to the ESCO operator can be obtained based on the probability.

[Structure 4] According to a fourth aspect of the present invention, there is provided a method for providing correction data for an ESCO business according to the present invention. In addition to the configuration of the service providing method, the method is implemented in a computer connected to a communication line, and collects the attribute data and the consumption data through the communication line, and classifies the attribute data using the computer. Separately, the energy consumption data is classified, the correction data is obtained, and part or all of the correction data is transferred to the ESCO business or the customer who is a target of the ESCO business via the communication line. It is characterized by transmitting to a communication terminal.

[Operation and Effect] The correction data providing method for the ESCO business of the present invention can be implemented in a computer connected to a communication line such as the Internet line as in the present configuration. That is, the above consumption data is
Energy consumption data associated with a large number of the attribute data can be collected from the communication terminal on the energy supplier side via the Internet line or the like for a fee. Further, even when the factor data is collected from a climate data information provider or another information provider, a large number of factor data can be collected via the Internet line or the like. Further, the correction data can be automatically obtained from a large number of the energy consumption data collected by the data processing by the computer, and the ESCO business wishing to provide a correction data structure including the correction data thus obtained is desired. The data can be transmitted to the communication terminal of the user or the customer via the Internet line for a fee or the like. Therefore, the method for providing correction data for the ESCO business of the present invention can be implemented on the Internet,
It is possible to collect energy consumption data from a large number of facilities and obtain highly reliable correction data relating to the state of change in energy consumption in various categories.
Correction data that can be used as a standard for correcting the reference energy expenditure in the O business can be transmitted to and provided to the communication terminal on the ESCO business or its customer side.

[Structure 5] The correction data structure according to the present invention is used for correcting a reference energy expenditure as a criterion for judging the effect of energy saving measures in an ESCO business as described in claim 5. A correction data structure of the computer-readable correction data,
Collected from an energy supplier in association with attribute data relating to the attribute of the facility affecting the energy consumption of the facility, and classified according to the classification of the attribute data;
The apparatus further comprises energy consumption data capable of recognizing a state of change in energy consumption in the plurality of facilities. In the classification of the predetermined attribute data, data on the state of change in energy consumption in two predetermined time periods is provided. It is characterized by being configured to be searchable as correction data.

[Effects] The correction data structure of the present invention is used by a computer of the ESCO business or a customer who is a target of the ESCO business, and relies on a reference energy expenditure as a standard of the effect of energy saving measures. It has correction data such as a correction coefficient for correcting the data to have high performance. Further, such a correction data structure is the same as the correction data provided by the above-described correction data providing method for the ESCO business, and is provided through the data storage medium or the data transmission medium. Alternatively, it is provided to the customer's computer which is a target of the ESCO business for a fee or free of charge. That is, as in the present configuration, the correction data structure of the present invention is capable of recognizing a temporal change state of the energy consumption of a plurality of facilities collected from an energy supplier in association with the attribute data of the facility. Consumption data is provided by classifying the attribute data, that is, by industry, size, and district. The correction data structure of the present invention is configured such that the correction data can be searched in the classification by a computer such as the ESCO operator or the customer.
When the SCO operator or the customer determines the effect of the energy saving measures at a certain time of a certain facility in the target facility of the ESCO business,
Correction data relating to a change state of energy consumption between the reference time before the energy saving measure is performed and the certain time are searched from the correction data structure of the present invention, and the reference energy at the reference time is obtained based on the searched correction data. By correcting the expenditure, it is possible to obtain an estimated value of the reference energy expenditure in the case where the energy saving measure is not performed at the certain time.

Therefore, the data structure of the present invention can be easily provided to the ESCO operator or the customer who is the target of the ESCO business via a data storage medium or a data transmission medium, and the reference energy expenditure can be reduced. Since it is highly reliable correction data that can be corrected,
It can be used as a standard to judge the effect of energy saving measures in the ESCO business, and the criteria for judging the effect can be clarified.

[0016]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS An embodiment of a correction data providing method and a correction data structure for an ESCO business according to the present invention will be described with reference to the drawings. The system shown in FIG. 1 is used for providing correction data for the ESCO business of the present invention, and includes a server device 10 having a communication interface 12 and a CPU 11 connected to an Internet line 3, and a later-described energy consumption. Database 2
0 and a factor database 21.

The ESCO business means that the ESCO business 1 provides the customer 2 with a diagnosis and consultation for energy saving measures, concrete planning and execution of energy saving measures, measurement of effects after the energy saving measures are implemented, and the like. Providing comprehensive services related to energy conservation, such as verification, maintenance and management of equipment etc. introduced by energy conservation measures, financing and financing of energy conservation measures, and the economic effects of energy conservation measures at business sites, etc. on the customer 2 side This is a business that ESCO operators enjoy as part of the rewards.

For example, as shown in the graph of FIG.
Before the ESCO operator 1 implements energy conservation measures, the gas, electric power,
Reference energy expenditure y ₀ (yen / month), which is the total expenditure for water supply, is x
w ₀ (yen / month), expenditure on gas xg ₀ (yen / month),
When the expenditure on electric power is xe ₀ (yen / month), y ₀ = xw ₀ + xg ₀ + xe ₀ .

In the ESCO business, ESCO
The business 1 implements energy saving measures at the business establishment or the like on the customer 2 side, and energy expenditure y which is the total expenditure y of the business or the like on the customer 2 side for gas, electric power, water, etc. in a certain month after i years
_i (yen / month), like xw _i (yen / month) the spending on water supply after i years, xg the spending on gas _i (yen /
Month), when the spending on power was xe _i (yen / month), and _{y i = xw i + xg i} + xe i <y 0.

Therefore, in the conventional ESCO business,
I for reference energy expenditure y ₀ for a month of the reference year
The amount of reduction in energy expenditure y _{i in} a certain year is regarded as the economic effect of energy saving measures, and the amount obtained by subtracting the remuneration of the ESCO operator 1 concluded by contract etc. among the reduction amount is the customer 2
Benefit. Further, after the expiration of the contract period, the customer 2 can use all of the energy expenditure reduction amount due to this energy measure as his own profit.

However, in such a conventional method of calculating the economic effect of energy saving measures, the standard energy expenditure y ₀ in a certain month of the base year before the energy saving measures is used as a standard of the effect of the energy saving measures. to order that, the difference between the energy expenditure y _i of the base year of a month of the reference energy expenditure y ₀ and the i-th year of a month, the reference year and industry establishments such as customer 2 side in the i-th year Or, because energy expenditure changes due to changes in scale, economic changes, climate changes, differences in the number of days, or changes in the price of energy in the energy market, etc., not all can be said to be reductions in energy expenditure due to energy conservation measures. . Therefore, in the present invention, E
The SCO operators 1 or subject to ESCO business customer 2 or the like, the correction of high correction coefficient such reliable utilized to correct the reference energy expenditure y ₀ as a reference for the effect of energy saving measures in ESCO business It provides data for use.

That is, the server device 10 first uses the energy consumption data collecting means 13 to transmit the Internet line 3 and the communication interface 12 from the communication terminal of the energy supplier 4 that supplies the basic energy such as gas, electric power, and water. And the like, the energy consumption over a plurality of months or years at facilities such as a plurality of offices and residences is collected as energy consumption data capable of recognizing a change state of the energy consumption, and the energy consumption data is collected. In association with the attribute of the facility that affects the energy consumption of the facility, that is, attribute data on attributes such as the type of business, scale, or district of the facility, and collects the attribute data by type of industry, by size, or by district And stored in the energy consumption database 20.

Then, the server apparatus 10 uses the correction data generating means 15 to collect and store the energy consumption database 20 as described above, and classify the energy consumption of a plurality of facilities in the plurality of months and years. The energy consumption data is analyzed, and a correction coefficient indicating a rate of change of energy consumption over the plurality of years or a plurality of months for each type of facility, each size, and each district, A correction coefficient or the like indicating a rate of change in energy consumption in a certain month after the reference year is generated as the correction data.

Further, the server apparatus 10 causes the factor data collection means 14 to similarly transmit the factor data other than the attribute data of the facility, other than the attribute data of the facility, via the Internet line 3 and the communication interface 12, which is a factor affecting the energy consumption. From the climate data information provider 5 to collect data on the annual or monthly average temperature and precipitation change over the years or months in each of the districts, etc., and from other information providers 6 Collect data on the status of economic change for each type of industry in the above-mentioned years or months, or collect data on the number of days or months in the years or months in the above-mentioned years or months, which can be calculated by itself. Factor database 2
1 is stored. Then, the correction data generating means 15 classifies the factor data stored in the factor database 21 according to the classification of the facility attribute data, and associates the data with the correction data generated according to the classification.

In this manner, the correction data generating means 15
The correction data structure of the correction data generated by
In certain categories such as by industry, by region, etc., the rate of change of energy consumption in a certain month after the base year with respect to energy consumption in a certain month in the base year, and energy consumption between two years or months A correction coefficient indicating a change rate of the energy consumption in a predetermined time period, such as a change rate of the data, is configured to be searchable as the correction data. For example, the correction data structure is as shown in FIG. The percentage change in water, gas, and electricity expenditures for water, gas, and electricity in one month of the base year, for each month from the year following the base year to the i-th year, by industry and district. Correction factor, and as factor data,
The change status of the monthly average temperature from the base year of a certain month to the i-th year is associated with the correction coefficient. Further, the correction data structure is transmitted to the communication terminal of the ESCO operator 1 or the customer 2 who is the target of the ESCO business via the communication interface 12 and the Internet line 3.

Then, the ESCO operator 1 or the customer 2
As shown in FIG. 2, in order to calculate the amount of reduction in energy expenditure due to energy conservation measures in a certain month in the i-th year after the energy conservation measures have been taken, the reference energy expenditure y ₀ is transmitted to the transmitted correction data structure. The corrected reference energy expenditure y ₀ ′ is calculated as an estimated value of the energy expenditure when the energy saving measures are not implemented in the i-th year. That is, the transmitted correction data structure is searched by a computer, and the i-th year after the energy-saving measure for a certain month in the reference year before the energy-saving measure is implemented in the classification that matches the attribute of the target facility of the ESCO business A correction coefficient indicating the rate of change of the energy consumption in a certain month is retrieved and obtained from the correction data structure, and the reference energy expenditure is corrected by the correction coefficient. In other words, i-th year of a water supply correction coefficient αw for the expenditure of the water supply in the month _i, gas correction coefficient is αg for the expenditure of the gas in the i-th year of a month _i, i
Assuming that the power correction coefficient for the power expenditure in a certain month of the year is αe _i , the corrected reference energy expenditure y ₀ ′ (yen / month) is y ₀ ′ = xw ₀ ′ + xg ₀ ′ + xe ₀ ′ ₌ αw _i · xw ₀ + α
g _i · xg ₀ + αe _i · xe ₀ .

[0027] Then, reduce the amount of energy expenditure is the sum of the customer profits xai (yen / month) and the ESCO business 1 of reward xbi in the month having the i-th year _{is, xai + xbi = y 0 '} -yi = (αw _i · xw ₀ -x
w _i ) + (αg _i · xg ₀ −xg _i) + (αe _i · xe ₀ −x
e _i ), and the economic effect of energy saving measures can be accurately obtained.

Further, in the above embodiment, the reference timing before the implementation of the energy-saving measures and the season after the implementation of the energy-saving measures are made to be somewhat the same, so that the reliability of the judgment of the effect of the energy-saving measures is made. In order to improve the energy expenditure, the energy expenditure of a certain month of the base year before the implementation of the energy conservation Energy expenditures in the same month were compared such that the amount of expenditure reduction etc. was judged as the effect of energy saving measures. Separately, energy expenditures in the year or month before the implementation of energy saving measures were used as a reference. It is also possible to correct the expenditure and determine the amount of reduction in energy expenditure in a certain year or month after the implementation of energy conservation measures as the effect of energy conservation measures. That. Further, as the correction coefficient in this case, a correction coefficient indicating a rate of change in the amount of energy consumption between a reference time before the energy saving measure and a time after the energy save measure can be used.

In the above description, an example was shown in which the size and business type of the business establishment on the customer 2 side were not changed.
If there is a change in the size or the type of business, the correction data generating means 15 obtains a change tendency of the energy consumption with respect to the change of the type of business and the size, and a coefficient or the like relating to the change tendency is used as correction data as an ESCO operator. 1 or the customer 2 to correct the reference energy expenditure y ₀ .

The ESCO operator 2 or the customer 1
Calculates the correlation between the monthly average temperature change situation and the correction coefficient as the factor data of the correction data structure,
Before energy saving measures are taken, it is possible to estimate the future state of change in energy consumption. That is, the correlation between the monthly average temperature and the correction coefficient is obtained from the correction data, and the correlation and the estimated value of the monthly average temperature of a certain month after the base year with respect to the monthly average temperature of a certain month of the base year are calculated. By calculating the correction coefficient of the energy consumption from the change rate and correcting the reference energy expenditure in a certain month of the reference year by the correction coefficient, no energy saving measures were taken in a certain month of the year after the reference year. An estimate of the energy expenditure for the case can be determined.

The correction data generated by the correction data generating means 15 is stored in a computer-readable correction data storage medium in addition to being transmitted via the Internet or the like. It may be provided to the customer 2.

At the time of such a contract for the ESCO business, energy saving measures were not implemented by utilizing the correction coefficient as correction data of the present invention and the changing tendency of the correction coefficient for factor data such as monthly average temperature. Guess the future energy expenditure in the case and the future energy expenditure when energy saving measures are implemented for the energy expenditure,
In some cases, the customer's profit and the remuneration of the ESCO operator are guessed to guarantee the minimum value or the like. However, among the energy consumption data constituting the correction data, there are few facilities belonging to the attribute classification such as the business type or scale of the customer's facility, or the energy consumption data at the facility classified by the customer's facility attribute. If there is a variation in the amount of change, the reliability of the correction coefficient as the above-mentioned correction data decreases, and the future energy expenditure estimated as described above may not match the actual energy expenditure. Get higher. For example, the energy expenditure when the actual energy saving measures are not implemented is smaller than the future energy expenditure when the energy saving measures estimated at the time of the contract are not implemented, and the guaranteed amount of the remuneration of the ESCO operator, etc. The possibility of not being able to be met with the reduction in energy expenditure for actual energy saving measures increases. Therefore, in the present invention, the correction data generation means 15 obtains a change rate of the energy consumption data and a change tendency with respect to the factor data, and obtains a variance of the change rate and the like, and obtains a dispersion state of the variance. Is obtained as a guarantee coefficient as the certainty of the correction data, which is the correction coefficient, and the guarantee coefficient is provided to the ESCO operator 1 or the customer 2 together with the correction data. This guarantee coefficient is used to calculate the likelihood of the estimated future energy expenditure when estimating the economic effect of energy saving measures at the stage of contracting the ESCO business. That is, the ESCO operator 1 and the customer 2 consider the guarantee coefficient and estimate the minimum value of future energy expenditure in the case where no energy saving measures are taken, and calculate the reward of the ESCO operator 1 from the energy expenditure. And the minimum value of the customer's profit, etc. are determined, so that the problem that the guaranteed amount of the reward of the ESCO operator cannot be covered by the actual reduction in energy expenditure for energy saving measures is suppressed. be able to.

In the above embodiment, in order to correct the reference energy expenditure y ₀ (yen / month), the correction coefficient αw _i , The reference energy expenditure corrected by multiplying αg _i and αe _i by water expenditure xw ₀ (yen / month), gas expenditure xg ₀ (yen / month), and power expenditure xe ₀ (yen / month) The configuration for obtaining y ₀ ′ has been described. Separately, a correction coefficient as correction data indicates a change rate of water, gas, and power consumption with respect to each energy consumption of the reference year, and Water consumption (l / month),
Water consumption (l / month), gas consumption (cal / month), power consumption (W) after gas consumption (cal / month) and power consumption (W / month) are multiplied by the correction coefficient. / Month) and multiplying each by the respective unit price at that time to obtain the corrected reference energy expenditure.

[Brief description of the drawings]

FIG. 1 is a schematic configuration diagram illustrating an embodiment of a correction data providing method for an ESCO business of the present invention.

FIG. 2 is a graph showing a state of energy expenditure.

FIG. 3 is a diagram illustrating an example of a data structure for correction.

[Explanation of symbols]

 DESCRIPTION OF SYMBOLS 1 ESCO operator 2 Customer 3 Internet line (communication line) 4 Energy supplier 5 Climate data information provider 6 Information provider 10 Server device 12 Communication interface 13 Energy consumption data collection means 14 Factor data collection means 15 Correction data generation Means 20 Energy consumption database 21 Factor database

Claims (5)

[Claims] 1. A method for providing correction data for an ESCO business, which provides correction data used for correcting a reference energy expenditure as a criterion for determining the effect of energy saving measures in an ESCO business, Energy consumption data that allows the energy supplier to recognize the status of changes in energy consumption at multiple facilities,
Collecting in association with attribute data relating to the attribute of the facility affecting the energy consumption, classifying the collected energy consumption data in the plurality of facilities according to the classification of the attribute data; Based on the data, the correction data relating to the change state of the energy consumption is obtained for each classification of the attribute data, and a part or all of the correction data is provided to the ESCO business or the customer who is a target of the ESCO business. A method for providing correction data for an ESCO business to be provided. 2. Collecting factor data relating to a factor other than the attribute of the facility affecting the energy consumption in association with the attribute data, and classifying the collected factor data according to the classification of the attribute data. The method for providing correction data for an ESCO business according to claim 1, wherein a part or all of the classified factor data is provided together with the correction data. 3. The correction for the ESCO business according to claim 1, wherein a guarantee coefficient indicating the likelihood of the correction data is obtained for each of the classifications of the attribute data, and the guarantee coefficient is provided together with the correction data. Data provision method. 4. The method according to claim 1, wherein the energy consumption is performed on a computer connected to a communication line, the attribute data and the consumption data are collected through the communication line, and the energy consumption is classified by the attribute data using the computer. Classifying the quantity data to obtain the correction data, and transmitting a part or all of the correction data to the communication terminal of the ESCO operator or the customer who is a target of the ESCO business via the communication line. The method for providing correction data for an ESCO business according to any one of claims 1 to 3. 5. A correction data structure of correction data readable by a computer, which is used to correct a reference energy expenditure as a criterion for judging the effect of energy saving measures in an ESCO business. From, collected in association with attribute data on the attribute of the facility affecting the energy consumption of the facility, and classified by the classification of the attribute data,
Comprising energy consumption data capable of recognizing a state of change in energy consumption in the plurality of facilities, wherein in the classification of the predetermined attribute data, data on the state of change in the energy consumption in two predetermined time periods, A correction data structure that is configured to be searchable as correction data.