JP2006221482A - Greenhouse gas emission setting support device and method - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a greenhouse gas emission setting support technology for reducing any risk associated with greenhouse gas emission in an energy supply company and a customer. <P>SOLUTION: This greenhouse gas emission setting support device 1 for supporting setting of greenhouse effect gas emission for a plurality of customers is provided with a customer information managing means 10 for acquiring customer information including the past energy consumption results for each customer, an estimated quantity calculating means 12 for calculating the individual estimated quantity of each customer on the basis of the energy consumption result of each customer and at least weather data and economic data in an estimation period, an emission managing means 13 for calculating the past individual result of each customer on the basis of the energy consumption result, and a target quantity calculating means 15 for calculating the whole estimated quantity of the whole customers by using the individual estimate, and for calculating the target quantity of the whole customers on the basis of the overall estimate and a predetermined cut rate, and for distributing the target quantity to each customer on the basis of the individual result, and for setting the individual target quantity of each customer. <P>COPYRIGHT: (C)2006,JPO&NCIPI

Description

  The present invention relates to a greenhouse gas emission setting support device that supports setting of greenhouse gas emissions for a plurality of customers who emit greenhouse gases through energy consumption.

The 3rd Conference of the Parties to the United Nations Framework Convention on Climate Change (COP3) was held in December 1997, and the “Kyoto Protocol”, which promised specific greenhouse gas emission reduction targets for developed countries including Japan, was established. It was adopted. Japan and other countries such as the EU have already ratified, and the Kyoto Protocol will come into force in February 2005. In Japan, as a CO ₂ reduction goals for the reference year negotiated by the Kyoto Protocol, it has been required to be reduced by 6% 1990. The Kyoto Protocol recognizes the emission trading system as a measure to achieve the greenhouse gas emission reduction target, and the European Union (EU) has introduced a pilot trading system.

In a situation according, as a technique for optimizing the reduction of CO ₂ emissions as a greenhouse gas, the actual CO ₂ emissions from the customer of the energy consumption data for discharging CO ₂ consumes energy obtained, as compared with the target CO ₂ emissions for base year, the target CO ₂ when exceeding the emissions purchased CO ₂ emission rights from trading markets, CO ₂ in the trading market if below the target CO ₂ emissions There is an apparatus that sells emission rights (see, for example, Patent Document 1).

However, the device described in Patent Document 1 supports the purchase and sale of CO ₂ emission rights by consumers, but does not consider management risks due to fluctuations in CO ₂ emissions. Since the Kyoto Protocol entered into force in February 2005, CO ₂ emissions may become a management risk for consumers who emit CO ₂ due to the emission trading system and CO ₂ emission regulations. In addition, under the emission trading system, when an energy supplier sells energy to a customer (customer), the CO ₂ emission credit for the CO ₂ emission emitted by consuming the energy is simultaneously provided. It is possible to sell. For this reason, even in an energy supply company that supplies energy to customers, when selling energy to customers, there is a risk that greenhouse gas emissions emitted by customers due to the sold energy may become a management risk.

  On the other hand, there is a device in the electricity supply company that fluctuates the electricity rate according to customer's management risk fluctuation (interest rate fluctuation, exchange rate fluctuation, weather, stock price fluctuation, raw material price fluctuation, economy, etc.) (For example, refer to Patent Document 2).

Japanese Patent Laid-Open No. 2003-331088 JP 2004-078692 A

However, the device described in Patent Document 2 absorbs the influence of risk fluctuations on the management of customers with electricity charges, but is applied to the management of CO ₂ emission rights that cannot be priced by the energy supplier. It is difficult. For this reason, a technology capable of reducing the risks of both energy suppliers and customers who have risks associated with CO ₂ emissions under the emissions trading system is desired.

  The present invention has been made in view of the above problems, and an object of the present invention is to provide a greenhouse gas emission setting support technology capable of reducing risks associated with greenhouse gas emissions in energy suppliers and customers. There is in point to do.

  A greenhouse gas emission setting support device according to the present invention for achieving this object is a greenhouse gas emission setting that supports the setting of greenhouse gas emission for a plurality of customers that emit greenhouse gas by energy consumption. A customer information management means for obtaining customer information including at least past energy consumption results for each customer, and an estimation period for estimating the energy consumption results of each customer and at least greenhouse gas emissions. Based on the meteorological data and economic data, an estimated amount calculating means for obtaining an individual estimated amount of the greenhouse gas emission of each customer, and an overall estimation of the greenhouse gas emission of the entire customer using the individual estimated amount Calculate a target amount of greenhouse gas emissions for the entire customer based on the total estimated amount and a predetermined reduction rate, and determine the target amount. On the basis of the distribution rules customer partitioned respectively, characterized in that it comprises a target amount calculating means for setting the individual target amount of the customer each.

  According to the greenhouse gas emission setting support device according to the present invention having the above characteristics, since the individual estimated amount of the greenhouse gas emission of the customer is obtained using the weather data and the economic data, the sum of the individual estimated amounts for each customer is obtained. It is possible to accurately obtain the overall estimation amount. Each customer's energy consumption is easily affected by changes in weather factors such as weather, climate, and temperature, and economic indicators such as GDP and gross domestic expenditure. Since it calculates | requires with respect to a meteorological element and an economic parameter | index, an individual estimated amount can be calculated | required with a certain amount of precision.

  Note that the weather data and economic data used to estimate the individual estimates are also predicted values with respect to weather fluctuations and economic fluctuations during the estimation period, and each individual estimate also contains an error because it involves an error. . However, the sensitivity of the individual estimator to weather data and economic data differs for each customer, and the individual estimator having positive sensitivity and the individual estimator having negative sensitivity coexist in the entire customer. For this reason, the estimation error of the overall estimation amount of the entire customer becomes smaller as a whole because errors due to the positive and negative sensitivities of the individual estimation amounts cancel each other. That is, the total estimated amount of the entire customer is obtained with higher accuracy than the individual estimated amount of each individual customer.

  Therefore, according to the present invention having the above characteristics, the target amount of greenhouse gas emissions as a whole customer can be accurately obtained in consideration of weather factors and economic indicators, as compared with the case where the individual target amount is obtained for each customer. Thereby, management of the greenhouse gas discharge | emission amount as a whole resulting from the energy which self supply in the energy supply company becomes easy.

  Furthermore, by distributing the overall greenhouse gas emissions target amount to individual customers and managing the target amount as a whole customer, it can be adjusted as a whole. Is more than the individual target amount, and the individual actual amount in the estimation period of another customer is lower than the individual target amount, it is possible to complement each excess and deficiency. As a result, for example, by establishing a supplementary contract that compensates for excess or deficiency of greenhouse gas emission rights between the energy supplier and the customer, risk management of both the energy supplier and the customer becomes possible. As a result, it is possible to reduce the excess and deficiency of greenhouse gas emission rights compared to the case where individual customers individually manage greenhouse gas emission rights, and the risks associated with greenhouse gas emissions from both energy suppliers and customers. Can be reduced. In addition, since it is not necessary for individual customers to manage greenhouse gas emissions in-house, it is possible to reduce the labor involved in managing the greenhouse gas emissions of individual customers.

  The greenhouse gas emission amount setting support device according to the present invention having the above-described features includes an emission amount management means for calculating an individual actual amount of past greenhouse gas emissions of each of the customers based on the energy consumption results, The distribution rule is characterized in that a value obtained by weighted averaging the individual performance amount is used.

  According to the greenhouse gas emission amount setting support device according to the present invention having the above characteristics, since the target amount is distributed in consideration of the individual actual amount, the individual target amount of each customer is more appropriately determined according to the past results. Can be set.

  In the greenhouse gas emission setting support device according to the present invention of any one of the above features, the estimated amount calculation means includes, for each customer, at least the energy consumption record, the past weather data, and the past economic data. , Regression analysis obtained by the regression analysis is stored, and the individual estimation amount is obtained based on the regression formula.

  According to the greenhouse gas emission setting support device according to the present invention having the above characteristics, a specific embodiment for obtaining the individual estimated amount of each customer can be obtained. Since the individual estimation amount is obtained based on the formula obtained by the regression analysis, the reliability of the individual estimation amount can be ensured, and the individual estimation amount can be easily obtained.

  The greenhouse gas emission setting support device according to the present invention having any one of the above characteristics calculates an individual actual amount in the estimation period after the estimation period has elapsed, and the individual actual amount and the individual target amount in the estimation period The actual amount evaluation means for obtaining the difference between the actual amount and the actual amount evaluation means compensates the excess for the customer whose individual actual amount in the estimation period exceeds the individual target amount. Therefore, it is good also as a structure which searches the said customer in which the said individual performance amount in the said estimation period fell below the said individual target amount.

  According to the greenhouse gas emission amount setting support device according to the present invention having the above characteristics, it is possible to search for customers whose individual performance amount in the estimation period is lower than the individual target amount, that is, customers who can sell greenhouse gas emission rights. For this reason, the energy supplier has exceeded the individual target amount through a contract to compensate for excess and deficiency of greenhouse gas emission rights, and to customers who need to obtain greenhouse gas emission rights to achieve the target. It will be easier to compensate for greenhouse gas emission rights.

  The greenhouse gas emission setting support device according to the present invention having any one of the above features includes a weather database that stores weather data, and estimates weather data for the estimation period based on the past weather data. Meteorological data management means is provided. Furthermore, the greenhouse gas emission setting support device according to the present invention having any one of the above features includes an economic database for storing economic data, and performs regression analysis of past economic data to create economic data for the estimated period. An economic data management means is provided.

  According to the greenhouse gas emission setting support device according to the present invention having the above characteristics, the past meteorological data and the past economic data are accumulated, and based on these, the meteorological data and the economic data of the estimation period are created. The accuracy and reliability of the created weather data and economic data can be further increased.

  To achieve this object, the greenhouse gas emission setting support method according to the present invention is a greenhouse gas emission setting that supports proposal of greenhouse gas emission to a plurality of customers who emit greenhouse gas by energy consumption. A customer information management process for obtaining customer information including at least past energy consumption results for each customer, and an estimation period for estimating the energy consumption results of each customer, at least greenhouse gas emissions. An estimated amount calculating step for obtaining an individual estimated amount of greenhouse gas emissions of each customer based on weather data and economic data, and an overall estimated amount of greenhouse gas emissions of the entire customer using the individual estimated amount And calculating a target amount of greenhouse gas emissions of the entire customer based on the total estimated amount and a predetermined reduction rate, and calculating the target amount to a predetermined amount. Distributed people in the customer her husband on the basis of the rules, and executes and a target amount calculation step of setting an individual target amount of the customer each.

  The greenhouse gas emission setting support method according to the present invention having the above characteristics can achieve the same operational effects as the greenhouse gas emission setting support device according to the present invention, and can be used by both energy suppliers and customers. It is possible to provide a greenhouse gas emission setting support method capable of reducing management risks related to greenhouse gas emission.

  Hereinafter, a greenhouse gas emission amount setting support device according to the present invention (hereinafter referred to as “the present device” as appropriate) and a greenhouse gas emission amount setting support method (hereinafter referred to as “the present method” as appropriate). The embodiment will be described with reference to the drawings.

The apparatus according to the present invention includes computer hardware and application software executed on the hardware. The apparatus of the present invention of this embodiment is used particularly by an energy supplier that supplies energy such as electricity, city gas, and LPG to customers, and is used for greenhouses for a plurality of customers who consume the energy and discharge greenhouse gases. It supports the setting of the target amount of effective gas emissions. In addition, the energy supplier manages the greenhouse gas emissions of multiple customers as a whole through a contract to compensate for excess and deficiency of greenhouse gas emission rights. In the present embodiment, CO ₂ (carbon dioxide) is assumed as a greenhouse gas.

  As shown in FIG. 1, the device 1 of the present invention includes a customer information management unit 10, an estimated amount calculation unit 12, an emission amount management unit 13, and a target amount calculation unit 15. Further, in the present embodiment, a customer information database 11 (hereinafter referred to as customer information DB 11) that stores customer information for each customer, and an emission amount management database 14 that stores individual performance amounts and individual estimated amounts for each customer (hereinafter referred to as customer information database 11). , Abbreviated as emission management DB 14), actual amount evaluation means 16 for evaluating greenhouse gas emissions of individual customers after the estimation period has elapsed, and a weather database 17 a for storing weather data, and based on past weather data The economic data management means 18 includes weather data management means 17 for estimating meteorological data for the estimation period, and an economic database 18a for storing economic data, and performs regression analysis of past economic data to create economic data for the estimation period. It has.

  Hereinafter, functions and operations of each means of the device 1 of the present invention for executing the steps of the method of the present invention will be described with reference to FIGS.

  The customer information management means 10 executes a customer information management process for acquiring customer information including at least past energy consumption results for each customer (step # 100). The customer information here includes energy consumption results, sales amount, activity amount such as product production amount, business information such as number of employees and bases, facility information such as energy facilities and buildings. Specifically, for example, the customer information management means 10 displays a customer information input screen that prompts the customer information to be input on a display means (not shown) via the input / output means 19. When customer information is input by the energy supplier or customer using the apparatus 1 of the present invention on the display means, the input customer information is received via the input / output means 19 and stored in the customer information DB 11 for each customer. .

  The meteorological data management means 17 creates and accumulates meteorological data used in each means of the device 1 of the present invention when executing each step of the method of the present invention. The meteorological data here includes meteorological elements such as weather, climate, and temperature. Specifically, the meteorological data management means 17 includes a meteorological database 17a for storing meteorological data acquired from the Japan Meteorological Agency and the like, and estimates meteorological data for an estimation period based on past meteorological data. The meteorological data management means 17 performs regression analysis for each meteorological element and creates meteorological data for the estimated period when the process of the present invention is performed.

  The economic data management means 18 creates and accumulates economic data used in each means of the device 1 of the present invention when executing each step of the method of the present invention. The economic data here are economic indicators that are considered to affect corporate activities, such as GDP and gross national expenditure. Specifically, the economic data management means 18 includes an economic database 18a for storing economic data, and performs regression analysis on past economic data to create economic data for an estimated period. The economic data management means 18 performs regression analysis for each economic index and creates economic data for the estimated period when the process of the present invention is performed.

Estimate calculation means 12, a customer respective energy consumption data, and at least CO ₂ on the basis of the weather data and economic data estimation period for emission of estimation, estimation determining the single estimate of CO ₂ emissions s customers husband An amount calculation step is executed (step # 200). The estimation period here is, for example, one year of the next fiscal year. Moreover, the estimated amount calculation means 12 of this embodiment uses the individual performance amount obtained by converting the energy consumption performance by the emission amount management means 13 described later as the energy consumption performance used in the regression analysis.

  Next, the operation of the estimated amount calculation means 12 will be described with reference to FIG. First, the estimated amount calculating means 12 acquires the past individual actual amount of each customer from the emission management DB 14 as the energy consumption result (step # 201), acquires the past weather data from the weather data management means 17, Past economic data is acquired from the economic data management means 18 (step # 202). Next, the estimated amount calculation means 12 performs regression analysis for each customer using the individual estimated amount as an objective variable, weather data and economic data as explanatory variables (step # 203), and the regression equation obtained by calculating each regression coefficient. Is stored in the regression equation storage unit 12a (step # 204).

[Equation 1]
Eε (n) = f (C (n) + B (n))
= A ₁ C ₁ + a ₂ C ₂ + ... + b ₁ B ₁ + b ₂ B ₂ + ... + c

  Here, Eε is an individual estimated amount, C is each weather element of weather data, a is a regression coefficient for each weather element, B is each economic index of economic data, b is a regression coefficient for each economic index, and c is a regression constant. Represents each. n is a variable representing a period. Note that a weather element having a relatively large regression coefficient a is considered to be a weather element having a large influence on the energy consumption performance. Similarly, an economic index having a relatively large regression coefficient b is considered to be an economic index having a large influence on the energy consumption performance.

  Next, the estimated amount calculation means 12 acquires the weather data for the next year from the weather data management means 17, and acquires the economic data for the next year from the economic data management means 18 (step # 205). . By applying the meteorological element of the acquired meteorological data and the economic index of the economic data to the regression equation (1), an individual estimated amount Eε (n) for the estimation period is obtained (step # 206).

  In this embodiment, the individual estimated amount ε (n) for the estimation period is calculated using the individual estimated amount Eε (n−1) for the past year and the individual actual amount Eγ (n−1) for the past year. to correct. Specifically, the individual estimated value Eε (n−1) for the past year is obtained by applying the meteorological element of the weather data for the past year and the economic index of the economic data for the past year to the regression equation of Formula 1. Furthermore, the individual performance amount Eγ (n−1) obtained by converting the energy consumption performance of the past one year by the emission amount management means 13 described later is acquired from the emission amount management DB 14. The estimated amount calculation means 12 obtains the individual estimated amount E′ε (n) for the corrected estimation period from the following equation (2).

[Equation 2]
E′ε (n) = {Eγ (n−1) / Eε (n−1)} × Eε (n)

  The estimated amount calculation means 12 stores the individual estimated amount E′ε (n) in the emission amount management DB 14 for each customer (step # 207).

Subsequently, the emission amount management means 13 executes an emission amount management process for calculating the individual actual amount of past CO ₂ emission amount of each customer based on the energy consumption result acquired in step # 100 of FIG. 2 (step #). 300). Specifically, for each energy type, a conversion coefficient for converting the actual energy consumption into the CO ₂ emission amount is prepared in advance, and the individual actual amount is calculated from the actual energy consumption using the conversion coefficient. In the present embodiment, the individual performance amount is further stored in the emission amount management DB 14 for each customer.

Subsequently, the target amount calculation means 15 calculates the total estimated amount of CO ₂ emission of the entire customer using the individual estimated amount obtained in step # 200 of FIG. 2, and based on the total estimated amount and a predetermined reduction rate. A target amount calculation step of calculating a target amount of CO ₂ emission amount of the entire customer, distributing the target amount to each customer based on a predetermined distribution rule, and setting an individual target amount for each customer is executed (step # 400). ).

Next, the operation of the target amount calculation means 15 will be described with reference to FIG. The target amount calculation means 15 first acquires individual estimated amounts of individual customers from the emission amount management DB 14 (step # 401), and adds them to calculate an overall estimated amount (step # 402). Next, the target amount calculation means 15 acquires the reduction rate and calculates the target amount of the CO ₂ emission amount (step # 403). The reduction rate here is determined by the energy supplier using the apparatus 1 of the present invention in consideration of, for example, a policy based on the Kyoto Protocol, and is input via the input / output means 19 of the apparatus 1 of the present invention. Is done. Next, the target amount calculation means 15 distributes the target amount to each customer based on a predetermined distribution rule (step # 404). Specifically, the individual actual amount of each customer is acquired from the emission amount management DB 14, and an individual weighted average value obtained by weighted averaging the individual actual amount for each customer is obtained and distributed according to the individual weighted average value. For example, the total weighted average value of the entire customer is obtained by adding the individual weighted average value, and the individual target amount is set for each customer by the ratio of the individual weighted average value to the total weighted average value. Further, based on the customer information, correction is performed to increase the individual target amount of the customer who is expected to increase the energy consumption due to the increase of the energy consumption accompanying the business expansion. By comprising in this way, the individual target amount in the estimation period of each customer can be calculated | required appropriately.

The performance amount evaluation means 16 calculates the individual performance amount in the estimation period for each customer after the execution of the estimation period after the execution of step # 400 in FIG. 2, and calculates the difference between the individual performance amount and the individual target amount in the estimation period. (Step # 500). Here, the individual performance amount in the estimation period is obtained by converting the energy consumption performance of each customer in the estimation period into a CO ₂ emission amount using a conversion coefficient. The emission amount management means 13 may be configured to obtain the individual actual amount by converting the energy consumption actual result of each customer during the estimation period into the CO ₂ emission amount. Furthermore, in this embodiment, this individual performance amount is memorize | stored in discharge amount management DB14. Next, the actual amount evaluation means 16 selects a customer whose individual actual amount in the estimation period is lower than the individual target amount in order to compensate for the CO ₂ emission right for the customer whose individual actual amount in the estimation period exceeds the individual target amount. Search (step # 500). Furthermore, in this embodiment, it is possible to search for customers who need to compensate for CO ₂ emission rights, that is, for customers whose individual performance amount exceeds the individual target amount.

By configuring in this way, the energy supply company purchases the CO ₂ emission right from the customer whose individual actual amount retrieved by the device 1 of the present invention falls below the individual target amount, so that the individual actual amount becomes the individual target amount. It is possible to compensate for CO ₂ emission rights for customers exceeding the above. In addition, after supplementing the CO ₂ emission right for the customer whose individual actual amount exceeds the individual target amount, when the CO ₂ emission right is further required, the energy supplier purchases the CO ₂ emission right from the market. This allows reducing the risks associated with CO ₂ emissions of customers, even at an energy supply company, by purchase of CO ₂ emission rights from a customer individual actual amount falls below the individual target amount, due to the CO ₂ emissions Risk can be reduced. Further, the energy supply company may be configured to sell if there is surplus CO ₂ emission rights after compensation, CO ₂ emission rights to customers individual actual amount exceeds the individual target amount.

  Hereinafter, another embodiment will be described.

  <1> In the above embodiment, the estimated amount calculation means 12 uses the individual estimated amount Eε (n−1) for the past year and the individual actual amount Eγ (n−1) for the past year for each estimated period. Although the example which correct | amends estimated amount (epsilon) (n) was demonstrated, it is not limited to this. It is also preferable to correct the individual estimated amount ε (n) of the estimation period by using a weighted average value of the individual estimated amount Eε and the individual actual amount Eγ in an arbitrary period such as a plurality of years. In addition, it is also a preferable embodiment to exclude data in a period in which the individual estimated amount Eε and the individual actual amount Eγ are greatly different due to the update of the equipment or the like.

  <2> In the above embodiment, the weather data management means 17 has been described to create weather data for the estimation period and accumulate past weather data. However, the weather data is purchased from outside and used. good. Similarly, the construction in which economic data management means 18 creates economic data for the estimation period and accumulates past economic data has been described. However, economic data may be purchased from outside and used.

The block diagram which shows the example of 1 structure of the greenhouse gas emission amount setting assistance apparatus which concerns on this invention The flowchart which shows operation | movement of the greenhouse gas emission amount setting assistance apparatus which concerns on this invention. The flowchart which shows operation | movement of the estimated amount calculation means of the greenhouse gas emission amount setting assistance apparatus which concerns on this invention. The flowchart which shows operation | movement of the target amount calculation means of the greenhouse gas emission amount setting assistance apparatus which concerns on this invention.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Greenhouse gas emission amount setting assistance apparatus 10 Customer information management means 11 Customer database 12 Estimated amount calculation means 12a Regression type | formula memory | storage part 13 Emission amount management means 14 Emission amount management database 15 Target amount calculation means 16 Actual amount evaluation means 17 Weather data Management means 17a Meteorological database 18 Economic data management means 18a Economic database 19 Input / output means

Claims (8)

A greenhouse gas emission setting support device that supports the setting of greenhouse gas emissions for a plurality of customers that emit greenhouse gases through energy consumption,
Customer information management means for obtaining customer information including at least past energy consumption results for each customer;
Estimated amount calculation for obtaining an individual estimated amount of greenhouse gas emission of each customer based on the energy consumption performance of each customer and at least weather data and economic data of an estimation period for estimating greenhouse gas emission amount Means,
The total estimated amount of greenhouse gas emissions of the entire customer is calculated using the individual estimated amount, and the target amount of greenhouse gas emissions of the entire customer is calculated based on the total estimated amount and a predetermined reduction rate And a target amount calculation unit that distributes the target amount to each of the customers based on a predetermined distribution rule and sets an individual target amount for each of the customers. apparatus. Emission amount management means for calculating an individual actual amount of past greenhouse gas emissions of each of the customers based on the energy consumption results,
The greenhouse gas emission amount setting support device according to claim 1, wherein the distribution rule uses a value obtained by weighted averaging the individual actual results.   The estimated amount calculation means performs regression analysis on at least the energy consumption record, the past weather data, and the past economic data for each of the customers, stores a regression equation obtained by the regression analysis, and stores the regression 3. The greenhouse gas emission amount setting support apparatus according to claim 1, wherein the individual estimated amount is obtained based on an equation. 2. The apparatus according to claim 1, further comprising: an actual amount evaluation unit that calculates an individual actual amount in the estimation period after the estimation period has elapsed and calculates a difference between the individual actual amount and the individual target amount in the estimation period. 4. The greenhouse gas emission amount setting support device according to any one of 3 above.   The actual amount evaluation means determines the individual target amount as the individual target amount in the estimation period in order to compensate the customer for which the individual actual amount in the estimation period exceeds the individual target amount. The greenhouse gas emission setting support device according to claim 4, wherein the customer who has fallen below is searched.   The weather data management means which has a weather database which memorize | stores weather data, and estimates the weather data of the said estimation period based on the said weather data in the past is provided. The greenhouse gas emission setting support device described.   7. An economic database for storing economic data, comprising economic data management means for regression analysis of past economic data and creating economic data for the estimated period. The greenhouse gas emission setting support device described. A greenhouse gas emission setting support method for supporting proposal of greenhouse gas emission to a plurality of customers who emit greenhouse gas by energy consumption,
A customer information management process for obtaining customer information including at least past energy consumption results for each customer;
An estimated amount calculation step for obtaining an individual estimated amount of greenhouse gas emissions of each customer based on the energy consumption results of each customer, at least weather data and economic data of an estimation period for estimating greenhouse gas emissions. When,
The total estimated amount of greenhouse gas emissions of the entire customer is calculated using the individual estimated amount, and the target amount of greenhouse gas emissions of the entire customer is calculated based on the total estimated amount and a predetermined reduction rate And a target amount calculation step of distributing the target amount to each of the customers based on a predetermined distribution rule and setting an individual target amount for each of the customers, and setting a greenhouse gas emission amount, Support method.