KR101823821B1 - Method for dealing in certified emission reductions for energy-efficient housing program using big data - Google Patents

Abstract

The present invention provides a carbon emission right trading method for an energy efficiency improvement construction of a server, the carbon emission right trading method including the steps of: obtaining an energy saving amount authenticated as saving according to a construction with regard to a house in which the construction for improving energy efficiency is completed; calculating an integrated energy saving amount by integrating the energy saving amounts obtained for a plurality of houses; displaying a carbon emission right corresponding to the integrated energy saving amount on at least one or more customer terminals; and confirming and displaying the trade of some or all of the carbon emission rights to the consumer terminal of which purchase intention is confirmed. Accordingly, the present invention can evaluates the energy saving amount of a house unit as the carbon emission right and activate a carbon emission right trade.

Description

METHOD FOR DEALING IN CERTIFIED EMISSION REDUCTIONS FOR ENERGY-EFFICIENT HOUSING PROGRAM USING BIG DATA BACKGROUND OF THE INVENTION [0001]

The present invention converts energy savings resulting from construction of energy efficiency in homes into carbon emission credits and measures energy savings before and after construction using ICT (Information and Communications Technologies) technology, And a technology for activating carbon emission trading by utilizing big data obtained from houses before and after construction.

In the 20th century, the rise of the Earth's temperature is evident, and unexplored meteorological phenomena are appearing all over the world. Such climate phenomena are attributed to climate change, and climate change is again caused by greenhouse gas emissions It is most convincing.

Greenhouse gases include carbon dioxide, methane, nitrous oxide, hydrogen fluoride, perfluorocarbons, and sulfur hexafluoride. These greenhouse gases accumulate in the atmosphere, creating a greenhouse effect where incoming solar heat can not escape. To reduce these greenhouse gas emissions, the Kyoto Protocol member states have signed an agreement to reduce carbon dioxide emissions by an average of 5%

In order to regulate carbon dioxide emissions, some countries of the Kyoto Protocol have introduced a system for trading greenhouse gas emission rights (carbon emission rights), which means that an organization or company that has a lack of greenhouse gas emission rights has a greenhouse gas emission authority It is a system that allows companies to purchase carbon credits from their companies and spend their expenses instead of releasing greenhouse gases. It is a system that can control the emission of greenhouse gases of the entire country at an appropriate level without restricting the production activities of the organizations or companies. Is being evaluated.

On the other hand, the carbon trade deals discussed are mostly business transactions involving a large amount of greenhouse gases. Considering that a substantial portion of energy consumption, which is actually the cause of greenhouse gases, is generated in individual homes, Development of technologies that can be applied to individual residential units is also required.

In this context, the object of the present invention is, in one aspect, to evaluate the energy savings of a residential unit as carbon credits and to provide a technique for trading such carbon credits.

In another aspect, the object of the present invention is to provide a technology for evaluating the amount of energy saved through the improvement of the energy efficiency of a house as a carbon emission right and trading such a carbon emission right.

In another aspect, an object of the present invention is to improve the accuracy of energy diagnosis of a house using ICT technology and accurately predict the amount of energy that can be saved through energy efficiency improvement construction, And to provide technology that enhances the credibility of transactions of companies or corporations that do business.

In another aspect, an object of the present invention is to provide a system and a method for reducing energy consumption due to construction of energy efficiency by utilizing a large amount of data (big data) , Or to estimate the amount of energy savings possible in future transactions and to activate the carbon trading that corresponds to the amount of energy savings.

In order to achieve the above-mentioned object, in one aspect, the present invention provides a method of manufacturing an energy saving system, comprising: obtaining an energy saving amount that is certified to be saved according to the construction for a completed house that improves energy efficiency; Integrating the energy savings obtained for a plurality of houses to calculate an integrated energy savings; Displaying a carbon emission right corresponding to the integrated energy saving amount on at least one customer terminal; And a step of confirming and displaying the sales of some or all of the carbon emission rights to the consumer terminal whose purchase intention is confirmed, and providing a carbon emission trading method for the energy efficiency improvement construction of the server.

According to another aspect of the present invention, there is provided a method of estimating an energy saving amount of a housing, the method comprising: estimating an amount of energy savings that can be reduced through construction for improving energy efficiency for a house using housing information including insulation information of the house; Integrating estimated energy savings for a plurality of houses to produce an integrated energy savings; Displaying a preliminary carbon emission right corresponding to the integrated energy saving amount on at least one customer terminal; And a step of confirming and displaying the sale of some or all of the preliminary carbon emission rights to the consumer terminal whose purchase intention is confirmed, and providing a carbon emission trading method for the energy efficiency improvement construction of the server.

INDUSTRIAL APPLICABILITY As described above, according to the present invention, it is possible to connect the energy consumption in the individual house to the carbon emissions trading. In particular, according to the present invention, it is possible to evaluate and reduce the amount of energy saved through the construction of energy efficiency for housing to carbon emission rights. The construction cost can be partially or wholly covered by the revenues from the construction cost. This reduction in construction costs will also boost energy efficiency in homes, which will reduce energy consumption and reduce greenhouse gas emissions throughout the country. According to the present invention, an ICT technology is used to improve the accuracy of energy diagnosis for a house and accurately estimate the amount of energy that can be saved through the improvement of energy efficiency. Thus, This will increase the credibility of the companies' transactions. Further, according to the present invention, by utilizing a large amount of data (big data) obtained from a house to be subjected to energy efficiency improvement construction or a house completed with energy efficiency improvement construction, It is possible to estimate the energy savings that can be dealt with and to activate the carbon trading that corresponds to the amount of energy savings.

1 is a diagram showing a process of trading an energy efficiency improvement construction as a carbon emission right.
2 is a configuration diagram of a transaction system according to an embodiment of the present invention.
3 is a flow chart of a model (first model) for trading carbon emission rights after construction.
4 is a flowchart of a method for a server according to an embodiment to perform a carbon emission rights transaction according to a first model.
Figure 5 is a flow chart of a model (second model) trading pre-plant carbon credits.
FIG. 6 is a flowchart of a method according to an embodiment of the present invention in which a server performs a carbon emission right transaction according to a second model.
FIG. 7 shows an example of a structure that utilizes big data analysis using ICT data.
8 is a flowchart of a method of utilizing Big Data Analysis using ICT data.

Hereinafter, some embodiments of the present invention will be described in detail with reference to exemplary drawings. It should be noted that, in adding reference numerals to the constituent elements of the drawings, the same constituent elements are denoted by the same reference symbols as possible even if they are shown in different drawings. In the following description of the present invention, a detailed description of known functions and configurations incorporated herein will be omitted when it may make the subject matter of the present invention rather unclear.

In describing the components of the present invention, terms such as first, second, A, B, (a), and (b) may be used. These terms are intended to distinguish the constituent elements from other constituent elements, and the terms do not limit the nature, order or order of the constituent elements. When a component is described as being "connected", "coupled", or "connected" to another component, the component may be directly connected to or connected to the other component, It should be understood that an element may be "connected," "coupled," or "connected."

1 is a diagram showing a process of trading an energy efficiency improvement construction as a carbon emission right.

Referring to FIG. 1, an energy efficiency improvement construction can be implemented for a house with low energy efficiency (S30).

According to this energy efficiency improvement construction, the energy consumption of the house 10b after the construction can be reduced as compared to the pre-construction house 10a (S32). Here, the reduction in energy consumption may mean a reduction in energy generated by discharging carbon. For example, a reduction in energy consumption can mean a reduction in the consumption of fossil fuels such as gas used in heating systems. As another example, a reduction in energy consumption can mean a reduction in the consumption of electrical energy, wherein the electrical energy can be attached to the carbon to a certain degree of energy, depending on the proportion of fossil fuel power generation, such as coal power generation.

The amount of energy consumption savings due to construction can be converted into carbon emission rights (S34). Reduced carbon emissions can be calculated based on energy savings, and carbon credits can be generated by calculated carbon emissions.

The generated carbon credits can be traded to the consumer 20 through an exchange or the like (S36).

The proceeds from the transaction of carbon credits may be returned to the contractor or homeowner (S38). And this revenue can be used to reduce construction costs.

On the other hand, the return on carbon credits can be used as proceeds from the Foundation, which specializes in housing energy efficiency improvement projects. For example, the Foundation, which specializes in improving housing energy efficiency, can carry out energy efficiency improvements for one home and use the carbon credits generated as a result of construction to improve the energy efficiency of another house. have. Using this circulation structure, the foundation can carry out many constructions at a low cost, enabling more people to benefit from energy efficiency improvement projects.

For example, a company that specializes in improving the energy efficiency of a homeowner can reduce the cost of construction in the same way as described above, thereby actively encouraging the participation of the homeowner. And the profit of the enterprise itself can be increased.

2 is a configuration diagram of a transaction system according to an embodiment of the present invention.

Referring to FIG. 2, the system 200 may include a server 210, a seller terminal 220, a consumer terminal 230, and the like.

The seller terminal 220 may send information related to the home to the server 210. The seller may be the owner or authorized person to sell carbon credits for energy savings, such as homeowners, builders, and specialists.

The seller terminal 220 can register the certified energy savings in the server 210 as savings on construction for a completed house that improves energy efficiency.

Alternatively, the seller terminal 220 may transmit the information related to the house including the construction information to the server 210, and determine whether to sell the energy savings calculated by the server 210 according to the information.

For example, the seller terminal 220 transmits the information of the house before the construction and the information of the house after the construction to the server 210, and the server 210 compares the information of the house before construction with the information of the house after construction, The energy saving amount of the house can be calculated and displayed on the seller terminal 220. At this time, the seller can check the displayed energy savings and decide whether to sell the confirmed energy savings. The seller terminal 220 transmits the determination information to the server 210 in accordance with this determination-the seller's terminal operation-, and the server 210 registers the corresponding energy saving amount in the sale list of the carbon emission right according to the determination information .

As a modified example, the server 210 can calculate the energy saving amount of the corresponding house by comparing the information of the house before the construction with the information of the after-construction house, and generate the carbon emission right according to the energy saving amount. Then, the server 210 can display the carbon emission right on the seller terminal 220. At this time, the amount of greenhouse gas such as carbon dioxide that can be emitted by the institution or company that bought it can be quantitatively indicated in the carbon emission right. Or carbon credits can show the amount of profit that can be gained from the current market. The seller can check the displayed revenue and decide whether to sell the carbon credits.

The information that the seller terminal 220 sends to the server 210 may vary from low to high.

As an example of a higher level, the seller terminal 220 may transmit the energy savings (figure) of the constructed home to the server 210 or transmit the generated carbon credits generated according to the energy savings to the server 210.

As an example of a low level, the seller terminal 220 may transmit the information of the pre-construction house and the information of the post-construction house to the server 210. As a more specific example, the seller terminal 220 may transmit thermal energy flow information such as insulation information and window information of a house before construction and thermal energy flow information of a post-construction house to the server 210. [ In this embodiment, the server 210 may compute the energy saving amount of the house by comparing the housing information before and after the construction received from the seller terminal 220. [ The insulation information of a house may be information that directly or indirectly indicates the degree of insulation of a house. For example, the thermal insulation information of a house may include thermal insulation information. The thermal insulation information may include information on the presence or absence of insulation, information on the type of insulation, information on the heat transmission rate of the insulation, and the like.

Energy savings can go through the certification process. The authentication procedure may be performed by an expert visiting the house, or may be performed by an authentication server (not shown) according to the data measured in the house.

As an example, the authentication server (not shown) can authenticate the energy saving amount of the house using the indoor temperature of the house before the construction and the indoor temperature of the house after the construction. At this time, the authentication server (not shown) can check the outdoor temperature of the house according to the weather information obtained from the weather server (not shown) and correct the energy saving amount according to the outdoor temperature.

As another example, the authentication server (not shown) may use the information such as the heat conduction rate of the house before construction, the heat conduction rate of the housing after construction, the airtightness rate of the house before construction, .

The authentication server (not shown) can authenticate the energy saving amount by combining the above-described information, and additionally or supplementally, the area of the house, the volume, the area of the window, the direction of the window, the annual temperature distribution, Etc. can be used to increase the accuracy of energy savings.

The authentication server (not shown) may be a separate device from the server 210, but in some embodiments, the authentication server (not shown) and the server 210 may be the same device.

The server 210 can calculate the integrated energy savings by integrating the energy savings obtained for the plurality of houses.

The server 210 can obtain the energy savings for each house from a plurality of seller terminals 220 (e.g., the seller terminal when the home owner is the seller) and integrate them to calculate the integrated energy savings. Alternatively, the server 210 can obtain energy savings for a plurality of houses from one seller terminal 220 (for example, a seller terminal in the case where the special construction agency is a seller) and integrate them to calculate the integrated energy savings have.

The server 210 may generate and trade carbon credits separately for each house, but depending on the embodiment, the server 210 may calculate the integrated energy savings and generate the carbon credits for the integrated energy savings have. In this embodiment, the seller can also determine the percentage of carbon credits for individual homes.

Generally, the energy savings of individual houses can be significantly different from those of enterprise units. Individual transactions of carbon credits generated by the energy savings of individual homes can be difficult to meet the needs of the enterprise unit. Accordingly, the server 210 can generate a carbon emission right corresponding to the integrated energy saving amount and use it for the transaction.

The server 210 may display the generated carbon credits at least on one or more consumer terminals 230.

The consumer terminal 230 can transmit to the server 210 whether or not to purchase the indicated carbon credits. Then, the server 210 can confirm and display the sale of some or all of the carbon emission rights indicated by the consumer terminal 230 whose purchase intention is confirmed.

The consumer terminal 230 may indicate the buyer's intention only for a portion of the indicated carbon credits. For example, the consumer terminal 230 may indicate the amount of carbon credits that it intends to purchase numerically.

On the other hand, transactions for carbon credits may be made after completion of the construction of the house, or may be carried forward before the construction is completed. There is an advantage that the energy saving amount can be measured more accurately after the completion of the construction, and the construction cost can be pre-paid in advance through the transaction before the construction is performed.

3 is a flow chart of a model (first model) for trading carbon emission rights after construction.

Referring to FIG. 3, energy efficiency diagnosis for a house can be performed (S300). The energy efficiency diagnosis for a house can be performed by an expert or automatically by a program.

An energy analysis program - for example, an eco house developed by the Korea Institute of Energy Research - can be used for energy efficiency diagnosis of houses. According to ECO HOUSE developed by Korea Institute of Energy Research, indoor surface temperature is measured by a smart phone with a thermal camera and the basic information of the house - such as the location of the house, the direction of the house, the size of the window, When - is entered, the energy efficiency of the house is diagnosed by the diagnosis server and the construction items for improving energy efficiency are displayed.

Information on the pre-construction housing acquired or calculated in the energy efficiency diagnosis for the house - for example, building material information, insulation status, confidentiality status - can be transmitted to the server and stored. The information of the pre-construction housing can be used to certify the energy saving amount of the house, or to be used for the big data analysis to verify the effect of construction or to derive other secondary effects.

After the diagnosis, the energy efficiency improvement work for the house can be performed (S302).

The content of the energy efficiency improvement construction - for example, replaced building material information, changed housing structure information, etc. - can be transmitted to the server and stored. The construction contents can be used to certify the energy saving amount of the house, and can be used for the big data analysis to verify the construction effect or to generate other secondary effects.

After the energy efficiency improvement construction is performed, the amount of energy consumption (energy saving amount) saved according to the construction can be measured and the energy saving amount can be certified (S304).

Energy savings can be measured against the amount of energy consumed in a house before construction and the amount of energy consumed in a house after construction under the same environmental conditions.

Here, the environmental conditions may include weather conditions such as outdoor temperature, outdoor humidity, solar radiation, air volume, and resident conditions such as the number of residents and the tendency of residents.

The environmental condition may be one fixed condition or a plurality of different conditions. For example, the amount of energy consumed in a house can be measured under different conditions of spring / summer / autumn / winter. Then, the average value of the energy saving amount of the corresponding house measured under each condition can be calculated and used as energy saving amount for the carbon emission right.

The environmental conditions before and after construction may be somewhat different. For example, when measuring the energy consumption of a house before construction, when the outdoor temperature is 10 degrees Celsius and the energy consumption of the house after construction is measured, the outdoor temperature may be 11 degrees Celsius. At this time, the apparatus for measuring (calculating) the energy saving amount can measure the energy saving amount by correcting the outdoor temperature condition.

The energy consumption to be saved may be certified by measuring the energy consumption before the construction and the energy consumption after the construction as described above, but the energy saving amount may be certified according to the objective information of the house. For example, the heat conduction rate and the thermal conductivity of the walls of a house may be measured before and after construction, and energy savings may be calculated and certified according to changes in objective information of such houses.

The apparatus for measuring the energy savings and the server (see 210 in FIG. 2) trading the carbon credits described with reference to FIG. 2 may be different. At this time, the certified energy savings can be registered and transmitted to a server (see 210 in FIG. 2) that carries the carbon credits along with data or information proving the certification.

When the energy saving amount is certified, a carbon emission right according to the energy saving amount can be generated (S306). Carbon credits can be issued from an organization's facility that manages carbon credits. If the server described with reference to FIG. 2 has such a right to manage carbon credits, it may issue the direct carbon credits, otherwise the server (see 210 in FIG. 2) described with reference to FIG. 2, To the device of the carbon credits management authority and then receive the carbon emission rights issued by the device to generate carbon emission rights.

The generated carbon credits may be indirectly traded by the server directly or by way of registering the carbon credits to the exchange (S308).

4 is a flowchart of a method for a server according to an embodiment to perform a carbon emission rights transaction according to a first model.

Referring to FIG. 4, the server can acquire an energy saving amount that is saved according to construction for a completed house that improves energy efficiency (S400).

Then, the server can calculate the integrated energy savings by integrating the energy savings obtained for the plurality of houses (S402).

Then, the server can display the carbon emission right corresponding to the integrated energy saving amount on at least one or more consumer terminals (S404).

In step S406, the server confirms the sale of some or all of the carbon emission rights to the consumer terminal whose purchase intention is confirmed.

Meanwhile, in step S406, the server may receive a bid for the carbon emission right from a plurality of the consumer terminals, and may display a part or all of the carbon emission rights to the consumer terminal that has transmitted the highest bid Can be confirmed and displayed.

The server receives information on the amount of carbon credits to be purchased from the consumer terminal as long as the buyer's intention is confirmed, and in step S406, the server confirms the sale of the carbon credits in step S406. It is possible to confirm the sale of the part and display it on the above-mentioned consumer terminal.

The housing information may include housing insulation information, and the server may calculate the energy savings for the completed housing using the housing insulation information before construction and the housing insulation information after construction.

Figure 5 is a flow chart of a model (second model) trading pre-plant carbon credits.

Referring to FIG. 5, when energy efficiency improvement work for a house is performed, the energy consumption to be saved can be estimated (S500). The server can estimate the amount of energy savings that can be saved through the use of housing information, including housing insulation information, and climate information around the house, to improve the energy efficiency of the home.

On the other hand, energy savings can be estimated through energy efficiency diagnosis of housing. An energy analysis program - for example, an eco house developed by the Korea Institute of Energy Research - can be used for energy efficiency diagnosis of houses. According to ECO HOUSE developed by Korea Institute of Energy Research, indoor surface temperature is measured by a smart phone with a thermal camera and the basic information of the house - such as the location of the house, the direction of the house, the size of the window, When - is entered, the energy efficiency of the house is diagnosed by the diagnosis server and the construction items for improving energy efficiency are displayed.

If the energy efficiency is diagnosed, the amount of energy saved after construction can be estimated according to the diagnosis result.

Advance carbon emission rights can be created according to the estimated energy savings (S502). Carbon credits may be granted by a recognized authority, but pre-carbon credits may be rights that are issued temporarily, not authorized rights.

Such advance carbon emission rights can be traded through transactions with the consumer (S504). When the sale of the advance carbon credits is confirmed, the proceeds can be delivered to the seller, and the rights holder can be delivered to the consumer. Proactive carbon credits can be converted to carbon credits after construction.

First, the energy efficiency of the housing can be improved based on the profit generated by the sale and purchase of the advance carbon emission rights (S506).

Then, the amount of energy consumption of the house can be verified by measuring the energy consumption before and after the construction (S508). In addition, carbon credits may be generated according to the amount of energy consumption thus certified (S510).

In addition, the pre-purchased advance carbon emission rights can be converted to newly generated carbon emission rights and transmitted to the consumer (S512).

FIG. 6 is a flowchart of a method according to an embodiment of the present invention in which a server performs a carbon emission right transaction according to a second model.

Referring to FIG. 6, the server can estimate the amount of energy that can be saved by improving the energy efficiency of the house using the housing information including the housing insulation information and the climate information around the house (S600) .

Big data analysis can be used for this estimation, an example of which will be described below with reference to FIG.

The server can calculate the integrated energy savings by integrating the estimated energy savings for a plurality of houses (S602).

The server can divide the entire house into a plurality of groups and calculate the integrated energy savings for each group.

Here, each group may be composed of houses having similar house information such as area, year temperature, completion time, and the like.

The server may display the preliminary carbon emission right corresponding to the integrated energy saving amount on at least one or more consumer terminals (S604).

In step S606, the server confirms the sale of some or all of the preliminary carbon emission rights to the consumer terminal whose purchase intention is confirmed.

On the other hand, the server can convert the preliminary carbon emission rights to carbon emission rights after completion of the construction for a plurality of houses.

In addition, the server calculates the amount of energy saved according to the construction using the post-construction housing information including the changed house insulation information of the completed house, calculates the energy savings amount after the construction for the plurality of houses, Comparing the energy savings and correcting the advance carbon emission rights according to the comparison results.

When calculating the integrated energy saving amount, the server classifies the plurality of houses into a plurality of groups, integrates the energy saving amounts for each group to calculate the integrated energy saving amount for each group, and when displaying the at least one consumer terminal, Pre-group carbon emission rights corresponding to integrated energy savings can be displayed.

At this time, when the server classifies a plurality of houses according to the area in which houses are located and displays them on at least one consumer terminal, the size of the figure indicating the pre-carbon carbon credits per group is proportional to the size of the integrated energy savings per group Can be displayed.

7 is a diagram illustrating an example of utilizing big data analysis using ICT data, and FIG. 8 is a flowchart illustrating a method of utilizing big data analysis using ICT data.

Referring to FIG. 7, data on houses before and after construction can be transmitted to the big data analysis apparatus 700 as ICT data.

The ICT data includes information about housing before and after construction - information on the location of the house (area), completion date, building materials such as insulation, etc. - sensor information measured inside and outside the house - indoor / outdoor temperature, indoor / outdoor humidity, User information entered by a person who resides or researched the home - information about the house and information about the people living in the house.

The big data analyzing apparatus 700 (for example, the server 210 shown in FIG. 2) can analyze ICT data collected from a plurality of houses to calculate information necessary for energy efficiency improvement construction.

For example, the big data analysis apparatus 700 can acquire energy consumption that can be saved through energy efficiency improvement construction for a house with a specific condition under specific environmental conditions through a big data analysis. Specifically, the big data analyzing apparatus 700 is located in a meteorological condition of a specific area (for example, South Jeolla Province in the southwestern part of Korea), and the type of the insulator, the direction of the window, the area of the window, For example, when energy efficiency is applied to a house in which the conditions such as the number of residents and the age of the resident are specified - for example, replacement of insulation, change of window area, etc., .

This big data analysis can help the business to run smoothly by providing the necessary information to improve the energy efficiency, while also contributing to promoting the trading of carbon credits corresponding to energy savings.

Referring to FIG. 8, a housing energy efficiency improvement construction can be performed on a plurality of houses (S800).

Through such efficiency improvement construction, the energy saving amount can be certified for a plurality of houses (S802).

ICT data before and after construction for a plurality of houses that have undergone construction are collected into a big data analysis apparatus (S804), and a potential energy efficiency improvement target house can be confirmed through such big data analysis (S806). Specifically, if the number of houses with specific conditions in a specific area is one million, the construction of one million households can expect energy savings similar to that of a previously constructed house.

A proactive carbon emission right is generated (S808) for the estimated energy savings for the potential energy efficiency improvement target (S808), and the sales proceeds to the construction subject can be secured through the transaction for the preliminary carbon emission right (S810).

As the sales proceeds are transferred to the housing energy efficiency improvement project, a structure in which funds are circulated and energy efficiency improvement projects are activated can be formed.

According to the embodiment described above, the energy consumption in the individual house can be connected to the carbon emission rights transaction. Particularly, according to this embodiment, it is possible to evaluate the amount of energy saved through the improvement of energy efficiency of the house as the carbon emission right and to deal with it. The constructor performing the energy efficiency improvement for the house, It is possible to cover part or all of the construction cost, thereby reducing the burden of the construction cost. This reduction in construction costs will also boost energy efficiency in homes, which will reduce energy consumption and reduce greenhouse gas emissions throughout the country. According to this embodiment, ICT technology can be used to improve the accuracy of energy diagnosis for a house and accurately estimate the amount of energy that can be saved through the improvement of energy efficiency. Thus, Or to increase the credibility of companies' transactions. Further, according to this embodiment, by using a large amount of data (big data) obtained from a house which is an object of energy efficiency improvement construction or a house which has completed energy efficiency improvement construction, it is possible to verify the energy saving amount according to the energy efficiency improvement construction It will be possible to activate carbon trading transactions that correspond to energy savings by estimating the amount of energy savings possible in future transactions.

It is to be understood that the terms "comprises", "comprising", or "having" as used in the foregoing description mean that the constituent element can be implanted unless specifically stated to the contrary, But should be construed as further including other elements. All terms, including technical and scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs, unless otherwise defined. Commonly used terms, such as predefined terms, should be interpreted to be consistent with the contextual meanings of the related art, and are not to be construed as ideal or overly formal, unless expressly defined to the contrary.

The foregoing description is merely illustrative of the technical idea of the present invention, and various changes and modifications may be made by those skilled in the art without departing from the essential characteristics of the present invention. Therefore, the embodiments disclosed in the present invention are intended to illustrate rather than limit the scope of the present invention, and the scope of the technical idea of the present invention is not limited by these embodiments. The scope of protection of the present invention should be construed according to the following claims, and all technical ideas within the scope of equivalents should be construed as falling within the scope of the present invention.

Claims (9)

House information such as the location of the house, the direction of the house, the size of the window of the house, and the construction year of the house, and the energy analysis program in which the indoor surface temperature measured by the smartphone with the infrared camera is input, The energy efficiency of the system is diagnosed, the construction work for improving the energy efficiency is presented, and the energy saving amount after the construction is estimated;
Receiving contents of a construction including changed building material information and modified housing structure information by a construction for improving energy efficiency;
Calculating the amount of energy savings according to the conversion of the heat conduction rate of the wall of the house before and after the construction;
Acquiring an energy saving amount that is certified as reduced by construction;
Integrating the energy savings obtained for a plurality of houses to calculate an integrated energy savings;
Displaying a carbon emission right corresponding to the integrated energy saving amount on at least one customer terminal; And
A step of confirming and displaying the sale of some or all of the carbon emission rights to the consumer terminal whose purchase intention is confirmed
A method of trading carbon credits for energy efficient construction of a server. The method according to claim 1,
Further comprising receiving a bid for the carbon credits from a plurality of consumer terminals,
In the step of finely displaying the sale of the carbon credits,
A method for trading carbon emission rights for a server for energy efficiency improvement of a server that confirms and displays the sale of some or all of the carbon emission rights to a consumer terminal that transmits the highest bid. The method according to claim 1,
Further comprising the step of receiving information on the carbon emission rights amount to be purchased from the consumer terminal as long as the buyer's intention is confirmed,
In the step of finely displaying the sale of the carbon credits,
And determining the sale of a part of the carbon emission rights according to the carbon emission rights amount and displaying the information on the consumer terminal. The method according to claim 1,
In the step where the energy savings is calculated and authenticated,
A method of trading carbon credits for energy efficient construction of a server that calculates energy savings by calibrating outdoor temperature conditions before and after construction. House information such as the location of the house, the direction of the house, the size of the window of the house, and the construction year of the house, and the energy analysis program in which the indoor surface temperature measured by the smartphone with the infrared camera is input, The energy efficiency of the system is diagnosed, the construction work for improving the energy efficiency is presented, and the energy saving amount after the construction is estimated;
Dividing a plurality of houses into a plurality of groups and integrating the energy savings for each group to calculate an integrated energy saving amount for each group, each group being classified by information including region, year, temperature and completion time;
Displaying a preliminary carbon emission right for each group corresponding to the group integrated energy saving amount, proportionally displaying a size of a figure indicating a group of preliminary carbon emission rights according to the size of the group integrated energy saving amount;
Confirming and displaying the sale of some or all of the preliminary carbon emission rights to the consumer terminal whose purchase intention is confirmed;
Converting the preliminary carbon emission rights to carbon emission rights after completion of the construction;
Calculating energy saving amount to be saved according to the construction using the after-construction housing information including the changed house insulation information of the completed house; And
Comparing the calculated energy savings after construction with the estimated energy savings prior to construction and calibrating the preliminary carbon emission rights according to the comparison result. 6. The method of claim 5,
And transferring the rights document to a customer terminal for which the sale has been confirmed. 6. The method of claim 5,
In the step of converting the advance carbon emission right into the carbon emission right,
A carbon trading scheme for energy efficient construction of a server that converts pre-existing carbon credits to carbon credits in accordance with the amount of energy consumption certified before and after construction. delete delete

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