WO2024066227A1

WO2024066227A1 - Power battery factory site selection method and apparatus

Info

Publication number: WO2024066227A1
Application number: PCT/CN2023/081869
Authority: WO
Inventors: 徐加雷; 余海军; 谢英豪; 吴奔奔; 陈江东; 李长东
Original assignee: 广东邦普循环科技有限公司; 湖南邦普循环科技有限公司
Priority date: 2022-09-26
Filing date: 2023-03-16
Publication date: 2024-04-04
Also published as: CN115545445A

Abstract

Disclosed in the present application are a power battery factory site selection method and apparatus, the method comprising: on the basis of a predetermined power battery production planning solution, analyzing a relationship between factory building address parameters and the total amount of carbon emission generated by a power battery factory executing the power battery production planning solution, so as to establish a power battery factory carbon emission model; acquiring at least one pre-selected feasible factory building address; according to the geographic location of each feasible factory building address amongst the at least one feasible factory building address, and the power structure of and the climate of the area where each feasible factory building address is located, and by means of the power battery factory carbon emission model, respectively calculating the total amount of carbon emission generated by the power battery factory corresponding to each feasible factory building address; and selecting the feasible factory building address with the minimum total amount of carbon emission as a final site for building the power battery factory.

Description

Power battery factory site selection method and device

This application claims priority to the Chinese patent application filed with the China Patent Office on September 26, 2022, with application number 202211173611.7, the entire contents of which are incorporated by reference into this application.

Technical Field

The present application relates to the field of new energy technologies, and in particular to a method and device for site selection for a power battery factory.

Background technique

In recent years, the rapid growth of new energy vehicles has driven the rapid development of my country's power battery industry, leading to a rapid expansion of the power battery market. More and more companies have joined the ranks of independent production of power battery materials and built power battery production projects.

When building a power battery production project, one of the issues to be determined is the location of the power battery material factory. The selection of the existing power battery material factory address is mostly based on the construction cost, ignoring the impact of the factory location on carbon emissions. With the increasing global energy crisis and environmental pollution problems, achieving energy conservation and emission reduction, green and low-carbon development, and promoting sustainable development of resources, environment and economy have become the common goals of all mankind. Therefore, how to achieve the construction of a low-carbon power battery factory site has become a problem that needs to be solved.

Summary of the invention

The present application provides a method and device for site selection of a power battery factory to solve the technical problem that the related art fails to consider the low-carbon optimization perspective when selecting the site for the power battery factory.

The present application provides a method for selecting a site for a power battery factory, comprising: based on a preset power battery production planning scheme, analyzing the relationship between factory construction address parameters and the total amount of carbon emissions generated by the power battery factory executing the power battery production planning scheme, so as to establish a carbon emission model for the power battery factory; wherein the factory construction address parameters include the geographical location parameters of the power battery factory construction address and the power structure parameters and climate parameters of the area where the power battery factory construction address is located; obtaining at least one pre-selected feasible factory construction address, and according to the geographical location of each feasible factory construction address in the at least one feasible factory construction address and the power structure and climate of the area where each feasible factory construction address is located, in combination with the power battery factory carbon emission model, respectively calculating the total amount of carbon emissions generated by the power battery factory corresponding to each feasible factory construction address, and selecting the feasible factory construction address with the least total amount of carbon emissions as the final site selection for the power battery factory.

The present application also provides a power battery factory site selection device, including: a model building module, which is configured to analyze the factory site parameters and the power battery factory execution parameters based on a preset power battery production planning scheme; The relationship between the total amount of carbon emissions generated by the power battery production planning scheme is used to establish a carbon emission model for a power battery factory; wherein the factory address parameters include the geographical location parameters of the power battery factory address and the power structure parameters and climate parameters of the area where the power battery factory address is located; a site selection module is configured to obtain at least one pre-selected feasible factory address, and according to the geographical location of each feasible factory address in the at least one feasible factory address and the power structure and climate of the area where each feasible factory address is located, combined with the power battery factory carbon emission model, calculate the total amount of carbon emissions generated by the power battery factory corresponding to each feasible factory address, and select the feasible factory address with the least total carbon emissions as the final site selection for the power battery factory.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG1 is a schematic flow chart of a method for site selection of a power battery factory provided in an embodiment of the present application.

FIG. 2 is a schematic diagram of the structure of a power battery factory site selection device provided in an embodiment of the present application.

Detailed ways

The following will describe the technical solutions in the embodiments of the present application in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

Refer to Figure 1, which is a schematic flow chart of a method for site selection of a power battery factory provided in an embodiment of the present application. The method for site selection of a power battery factory provided in an embodiment of the present application includes the following steps.

S11, based on a preset power battery production planning scheme, analyzing the relationship between the factory construction address parameters and the total carbon emissions generated by the power battery factory executing the power battery production planning scheme, so as to establish a power battery factory carbon emission model; wherein the factory construction address parameters include the geographical location parameters of the power battery factory construction address and the power structure parameters and climate parameters of the area where the power battery factory construction address is located.

S12, obtaining at least one pre-selected feasible factory construction site, and calculating the total carbon emissions generated by the power battery factory corresponding to each feasible factory construction site based on the geographical location of each feasible factory construction site in the at least one feasible factory construction site and the power structure and climate of the area where each feasible factory construction site is located, in combination with the power battery factory carbon emission model, and selecting the feasible factory construction site with the least total carbon emissions as the final site for the power battery factory.

The power battery production planning scheme includes the planned production quantity of power batteries and the quality of the corresponding raw materials required. During implementation, after determining the number of power batteries to be produced, the relationship between the factory address parameters and the total amount of carbon emissions generated by the power battery factory executing the power battery production planning scheme is analyzed to establish a power battery carbon emission model.

The feasible factory construction site can be selected in the following manner: first, select an optional area (province) that meets factors such as factory construction policies, climate and geographical environment, and then select a plot that meets the requirements within the optional area to obtain at least one feasible factory construction site.

It is understandable that the power structure in different regions (provinces) is not the same. Considering that provinces with a higher proportion of clean energy can effectively reduce the carbon emissions generated by power battery factory production, secondly, the geographical location affects the transportation distance and method of raw materials. Generally speaking, sea transportation < rail transportation < road transportation. Finally, the climate of the region (province) affects the power battery factory's demand for cooling and heating for staff, which has a certain impact on overall energy consumption. Therefore, the embodiment of the present application takes into account factors such as power structure, geographical location, and climate to build a low-carbon power battery material production plant.

The technical solution provided in the embodiment of the present application is based on a preset power battery production planning scheme, analyzes the relationship between the factory construction address parameters and the total carbon emissions generated by the power battery factory executing the power battery production planning scheme, so as to establish a power battery factory carbon emission model; obtains at least one pre-selected feasible factory construction address, and calculates the total carbon emissions generated by the power battery factory corresponding to each feasible factory construction address based on the geographical location of each feasible factory construction address and the power structure and climate of the region where it is located, combined with the power battery factory carbon emission model, thereby selecting the feasible factory construction address with the least total carbon emissions as the final site selection for the power battery factory. The present application comprehensively considers factors such as power structure, geographical location, and climate to construct a low-carbon power battery factory site, which can reduce carbon emissions to a certain extent.

In one embodiment, the S11 "based on a preset power battery production planning scheme, analyzing the relationship between the factory construction address parameters and the total carbon emissions generated by the power battery factory executing the power battery production planning scheme to establish a power battery factory carbon emission model" includes: based on a preset power battery production planning scheme, analyzing the relationship between the power structure parameters of the area where the power battery factory construction address is located and the carbon emissions generated by the energy required for the operation of the power battery factory, to obtain a first carbon emission model; analyzing the relationship between the geographical location parameters of the power battery factory construction address and the carbon emissions generated during the transportation of required raw materials, to obtain a second carbon emission model; wherein the required raw materials are determined by the power battery production planning scheme; analyzing the relationship between the climate parameters of the area where the power battery factory construction address is located and the carbon emissions generated by cooling and heating of the power battery factory, to obtain a third carbon emission model; and establishing a power battery factory carbon emission model by integrating the first carbon emission model, the second carbon emission model and the third carbon emission model.

During implementation, the power battery production planning program will obtain the planned production volume of power batteries and the quality of the corresponding raw materials. Before establishing a power battery factory, the company will calculate the production capacity and power consumption required to produce the planned batch of power batteries based on mature processes. Taking into account the different power structures in multiple regions, the proportions of various types of power consumption used in production are also different. For example, thermal power generation in region A accounts for a%, and hydropower accounts for b%. The use of thermal power generation is total capacity * a%, and the use of hydropower is total capacity * b%. The carbon emissions generated per unit time by different power generation methods are also different. Therefore, it is necessary The relationship between the power structure parameters of the area where the power battery factory is located and the carbon emissions generated by the energy required for the operation of the power battery factory is analyzed to accurately evaluate the differences in carbon emissions caused by different factory locations. The energy required for the operation of the power battery factory should be understood as: the power consumption and fuel, gas, heat and other energy consumption required by the power battery factory to operate the production line.

In one embodiment, the relationship between the power structure parameters of the area where the power battery factory address is located and the carbon emissions generated by the energy required for the operation of the power battery factory is analyzed based on the preset power battery production planning scheme to obtain a first carbon emission model, including: based on the preset power battery production planning scheme and the power structure parameters of the area where the power battery factory address is located, obtaining multiple types of power usage parameters required to be consumed in the process of producing power batteries by the power battery factory; analyzing the relationship between multiple types of power usage parameters and the carbon emissions generated by the energy required for the operation of the power battery factory, and establishing the first carbon emission model as follows:
E _energy = ∑AD _i × EF _i + ∑K × EF _j × GWP _j

_Eenergy represents the carbon emissions generated by the energy required for the operation of the power battery factory, AD _i represents the parameter of the i-th type of electricity usage, EF _i represents the carbon emission factor of the i-th type of electricity, K is the natural gas usage, EF _j is the emission factor of the j-th gas generated by the combustion of natural gas, the unit is tCO ₂ /t, and GWP _j is the greenhouse gas potential of the j-th gas generated by the combustion of natural gas.

It can be seen from the above formula that when the power structure of the power battery factory is different, AD _i is also different, which leads to differences in E _energy . Generally speaking, on the basis of determining the power battery to be produced, the natural gas usage K required for the operation of power battery factories at different addresses and the gas emission factor components generated by natural gas combustion are the same. Therefore, the difference in carbon emissions generated by the energy required for the operation of power battery factories at different addresses is mainly determined by ∑AD _i ×EF _i .

In one embodiment, the relationship between the geographical location parameters of the power battery plant address and the carbon emissions generated during the transportation of the required raw materials is analyzed to obtain the second carbon emission model, including: obtaining the type of transportation used in the transportation of the required raw materials and the transportation distance parameters corresponding to the multiple transportation tools according to the geographical location parameters of the power battery plant address and the geographical location of the material supplier; and establishing the second carbon emission model according to the following formula:

E _{Transportation} refers to the carbon emissions generated during the transportation of the required raw materials. represents rounding up, _ai represents the mass of raw materials that need to be transported by the ith means of transport, _mi represents the carrying capacity of the ith means of transport, _Li represents the transportation distance parameter of the ith means of transport, and _RKi represents the carbon emissions generated by the ith means of transport per unit distance, in _tCO2 /km.

In implementation, before building a power battery factory, the company should first determine the supplier of raw materials to obtain the address of the material supplier, because the required raw materials may not be available from one supplier. There may be multiple material suppliers. Assume that the transportation distance from the location of the power battery factory to the material supplier is L, and it is estimated that the transportation distance of the i-th means of transportation is _Li when there is transportation in the section of the transportation distance L, and the sum of all _Li is L. Then, the impact of different transportation modes and different transportation distances on the carbon emissions generated during the transportation of the required raw materials can be analyzed to obtain the second carbon emission model.

In one embodiment, the relationship between the climate parameters of the area where the power battery factory is located and the carbon emissions generated by the cooling and heating of the power battery factory is analyzed to obtain the third carbon emission model, including: obtaining the air conditioning operation time parameter of the power battery factory according to the climate parameters of the area where the power battery factory is located; and establishing the third carbon emission model according to the following formula:
_Eclimate = EL _δ × m _δ × EF _δ

_Eclimate represents the carbon emissions generated by cooling and heating in the power battery factory, EL _δ represents the average energy consumption of air conditioning, m _δ represents the air conditioning operation time parameter of the power battery factory, and EF _δ represents the carbon emissions generated by air conditioning operation.

During implementation, the climate parameter of the area where the power battery plant is located is assumed to be w _i , which corresponds to the air-conditioning operation time parameter m _δ =f(w _i ), where f(w _i ) is pre-established. For example, w _i represents the ith climate, and f(w _i ) is the air-conditioning operation time corresponding to the ith climate. This relationship can be obtained from data statistics. For example, Guangdong Province and Fujian Province are classified as the first climate type w ₁ , and the annual air-conditioning operation time of Guangdong Province and Fujian Province is obtained from relevant authoritative websites. The air-conditioning operation time of the two provinces is averaged to obtain the air-conditioning operation time f(w ₁ ) corresponding to the first climate type.

In an optional embodiment, the established carbon emission model of the power battery factory is E=E _energy +E _{transportation} +E _climate .

In one embodiment, before establishing the carbon emission model of the power battery factory, the S11 method also includes: analyzing the relationship between the geographical location parameters of the power battery factory address and the carbon emissions generated by employees traveling from the power battery factory to the planned destination by transportation to obtain a fourth carbon emission model; the integration of the first carbon emission model, the second carbon emission model and the third carbon emission model to establish the carbon emission model of the power battery factory includes: integrating the first carbon emission model, the second carbon emission model, the third carbon emission model and the fourth carbon emission model to establish the carbon emission model of the power battery factory.

In one embodiment, the relationship between the geographical location parameters of the power battery factory address and the carbon emissions generated by employees traveling from the power battery factory to the planned destination by transportation is analyzed to obtain a fourth carbon emission model, including:

_βi is the number of employees who plan to travel by the ith means of transportation each year, _ni is the number of passengers on the ith means of transportation, _hi is the reference distance from the power battery factory to the planned destination by the ith means of transportation, and RKi _is Carbon emissions generated by the i-th mode of transportation per unit distance.

In the embodiment of the present application, the carbon emissions generated by employees taking transportation from the power battery factory to the planned destination are also considered. In another optional implementation, the first carbon emission model, the second carbon emission model, the third carbon emission model and the fourth carbon emission model are integrated to establish a power battery factory carbon emission model: E = E _energy + E _{transportation} + E _climate + E _travel .

In one embodiment, when establishing a carbon emission model for a power battery factory, indirect carbon emissions from power battery raw materials and auxiliary materials, carbon emissions caused by waste generated by power battery production, and direct carbon emissions during the power battery production process are also considered.

Indirect carbon emissions from raw and auxiliary materials of power batteries should be understood as carbon emissions released by the materials themselves, which have nothing to do with the production process; carbon emissions caused by waste generated by power battery production refer to carbon emissions released by waste generated in the production process of power batteries; direct carbon emissions in the power battery production process refer to carbon emissions generated in the production process of power batteries.

In one embodiment, the indirect carbon emissions of the power battery raw materials are calculated by the following formula:
_Eindirect = ∑CD _i × EK _i

_Eindirect is the carbon emission in the production process of raw materials and auxiliary materials, _CDi is the planned usage of the i-th type of raw materials and auxiliary materials, which is determined by the power battery production planning scheme, and _EFi represents the greenhouse gas emissions generated by the i-th type of raw materials per unit mass;

Furthermore, the carbon emissions caused by the waste generated by the production of the power battery are calculated by the following formula:

E _waste is the carbon emission caused by waste generated by power battery production, TOW _i is the total content of the i-th degradable organic matter in the waste, S _i is the i-th removable and solidified part of the waste, _Bi is the CH ₄ production capacity of the i-th degradable organic matter, MCF is the CH ₄ correction factor, EF′ _{i is} the greenhouse gas carbon emission generated by the i-th degradable organic matter per unit mass, is the conversion coefficient;

Direct carbon emissions from the production of power batteries are calculated using the following formula:
_Edirect ＝(c1-c2)×V×m _ε

E _directly represents the direct carbon emissions in the production process of power batteries, c1 and c2 are the _CO2 concentrations of exhaust gas emitted during the power battery production process and the _CO2 concentrations in the air, respectively, V is the volume of exhaust gas generated, and _mε is the exhaust gas emission time.

It is understandable that, based on the planned production volume of power batteries to be produced, the indirect carbon emissions of power battery raw materials and auxiliary materials corresponding to power battery factories with different factory addresses are the same. The same is true for direct carbon emissions during the process.

The embodiment of the present application also provides a power battery factory site selection device, including: a model building module, which is configured to analyze the relationship between the factory address parameters and the total carbon emissions generated by the power battery factory executing the power battery production planning scheme based on a preset power battery production planning scheme, so as to establish a power battery factory carbon emission model; wherein the factory address parameters include the geographical location parameters of the power battery factory address and the power structure parameters and climate parameters of the area where the power battery factory address is located; a site selection module, which is configured to obtain at least one pre-selected feasible factory address, and according to the geographical location of each feasible factory address in the at least one feasible factory address and the power structure and climate of the area where each feasible factory address is located, combined with the power battery factory carbon emission model, respectively calculate the total carbon emissions generated by the power battery factory corresponding to each feasible factory address, and select the feasible factory address with the least total carbon emissions as the final site selection for the power battery factory.

In one embodiment, the model building module includes: a first carbon emission model building unit, which is configured to analyze the relationship between the power structure parameters of the area where the power battery factory address is located and the carbon emissions generated by the energy required for the operation of the power battery factory based on a preset power battery production planning scheme, to obtain a first carbon emission model; a second carbon emission model building unit, which is configured to analyze the relationship between the geographical location parameters of the power battery factory address and the carbon emissions generated during the transportation of required raw materials, to obtain a second carbon emission model; wherein the required raw materials are determined by the power battery production planning scheme; a third carbon emission model building unit, which is configured to analyze the relationship between the climate parameters of the area where the power battery factory address is located and the carbon emissions generated by cooling and heating of the power battery factory, to obtain a third carbon emission model; a carbon emission model building unit, which is configured to integrate the first carbon emission model, the second carbon emission model and the third carbon emission model to establish a carbon emission model for the power battery factory.

In one embodiment, the first carbon emission model establishment unit is configured to: obtain multiple types of power usage parameters required for power battery production by the power battery factory based on a preset power battery production planning scheme and power structure parameters of the area where the power battery factory is located; analyze the relationship between the multiple types of power usage parameters and the carbon emissions generated by the energy required for the operation of the power battery factory, and establish the first carbon emission model as follows:
E _energy = ∑AD _i × EF _i + ∑K × EF _j × GWP _j

_Eenergy represents the carbon emissions generated by the energy required for the operation of the power battery factory, AD _i represents the parameter of the i-th type of electricity usage, EF _i represents the carbon emission factor of the i-th type of electricity, K is the natural gas usage, EF _j is the emission factor of the j-th gas generated by the combustion of natural gas, and GWP _j is the greenhouse gas potential of the j-th gas generated by the combustion of natural gas.

In one embodiment, the second carbon emission model building unit is configured to: obtain the required raw material transportation process according to the geographical location parameters of the power battery factory address and the geographical location of the material supplier. The types of transportation tools used in the process and the transportation distance parameters corresponding to various transportation tools are used; and the second carbon emission model is established according to the following formula:

E _{Transportation} refers to the carbon emissions generated during the transportation of the required raw materials. represents rounding up, _ai represents the mass of raw materials that need to be transported by the ith means of transport, _mi represents the carrying capacity of the ith means of transport, _Li represents the transportation distance parameter of the ith means of transport, and _RKi represents the carbon emissions generated per unit distance of transportation by the ith means of transport.

In one embodiment, the third carbon emission model establishment unit is configured to: obtain the air conditioning operation time parameter of the power battery factory according to the climate parameters of the area where the power battery factory address is located; and establish the third carbon emission model according to the following formula:
_Eclimate = EL _δ × m _δ × EF _δ

In one embodiment, the carbon emission model establishment module also includes a fourth carbon emission model establishment unit, and the fourth carbon emission model establishment unit is configured to: analyze the relationship between the geographical location parameters of the power battery factory address and the carbon emissions generated by employees traveling from the power battery factory to the planned destination by transportation, to obtain a fourth carbon emission model; then, the carbon emission model establishment unit is configured to: use the first carbon emission model, the second carbon emission model, the third carbon emission model and the fourth carbon emission model to establish a power battery factory carbon emission model.

In one embodiment, the fourth carbon emission model establishing unit is configured to establish the fourth carbon emission model by the following formula:

_βi is the number of employees who plan to travel by the i-th means of transportation each year, _ni is the number of passengers carried by the i-th means of transportation, _hi is the reference distance from the power battery factory to the planned destination by the i-th means of transportation, and _RKi is the carbon emissions generated by the i-th means of transportation per unit distance.

In one embodiment, the indirect carbon emissions of the power battery raw materials are calculated by the following formula:
_Eindirect = ∑CD _i × EF _i

E _is the carbon emission in the production process of raw materials and auxiliary materials, _CDi is the planned usage of the i-th type of raw materials and auxiliary materials. Determined by the power battery production planning scheme, EF _i represents the greenhouse gas emissions generated by the i-th type of raw and auxiliary materials per unit mass;

If the modules/units integrated in the power battery factory site selection device 10 are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned multiple method embodiments when executed by the processor. The computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form, etc.

The following is an example to describe the technical solution provided by the example of the present application. Company A plans to build a power battery factory. After comparing the policies, environmental protection requirements, and transportation conditions of multiple provinces, it is found that there are 3 plots of land that meet the company's requirements. The company decides to build a low-carbon factory in response to the national call. Therefore, Company A analyzes the differences in carbon emissions caused by the three factory addresses B1, B2, and B3 based on the pre-established carbon emission model. The province where the B1 factory is located has relatively developed hydropower, a good power structure, and a low greenhouse gas emission factor, but the raw materials are far from the supplier and the transportation distance is long. The location of the B2 factory is close to the supplier, but the green power structure is poor, and the proportion of thermal power generation is high. The proportion of electricity in the location of the B3 factory is between the two, and the distance to raw materials is in the middle. The required raw material consumption is shown in Table 1, and the electricity, heat, and fuel emission factors of each factory site are shown in Table 2. The final calculation results are shown in Table 3:

Table 1

Table 2 Electricity, heat and fuel emission factors for factory site selection

table 3

The final calculation shows that the greenhouse gas emissions of B1, B2 and B3 are 290951.7t, 301847.3t and 296676.7t, so Company A decides to build a factory at location B1.

Claims

A method for selecting a site for a power battery factory, comprising:

Based on a preset power battery production planning scheme, the relationship between the factory construction address parameters and the total carbon emissions generated by the power battery factory executing the power battery production planning scheme is analyzed to establish a power battery factory carbon emission model; wherein the factory construction address parameters include the geographical location parameters of the power battery factory construction address and the power structure parameters and climate parameters of the area where the power battery factory construction address is located;

Obtain at least one pre-selected feasible factory construction site, calculate the total carbon emissions generated by the power battery factory corresponding to each of the at least one feasible factory construction site based on the geographical location of each feasible factory construction site and the power structure and climate of the area where each feasible factory construction site is located, and combine the power battery factory carbon emission model, and select the feasible factory construction site with the least total carbon emissions as the final site for the power battery factory.
The method according to claim 1, wherein the step of analyzing the relationship between the factory construction address parameters and the total amount of carbon emissions generated by the power battery factory executing the power battery production planning scheme based on the preset power battery production planning scheme to establish a power battery factory carbon emission model comprises:

Based on a preset power battery production planning scheme, the relationship between the power structure parameters of the area where the power battery factory address is located and the carbon emissions generated by the energy required for the operation of the power battery factory is analyzed to obtain a first carbon emission model;

Analyze the relationship between the geographical location parameters of the power battery plant address and the carbon emissions generated during the transportation of the required raw materials to obtain a second carbon emission model; wherein the required raw materials are determined by the power battery production planning scheme;

Analyze the relationship between the climate parameters of the area where the power battery factory is located and the carbon emissions generated by the cooling and heating of the power battery factory to obtain a third carbon emission model;

The first carbon emission model, the second carbon emission model and the third carbon emission model are integrated to establish a power battery factory carbon emission model.
The method according to claim 2, wherein the relationship between the power structure parameters of the area where the power battery factory address is located and the carbon emissions generated by the energy required for the operation of the power battery factory is analyzed based on the preset power battery production planning scheme to obtain a first carbon emission model, including:

Based on a preset power battery production planning scheme and power structure parameters of the area where the power battery factory is located, multiple types of power usage parameters required to be consumed in the process of producing power batteries by the power battery factory are obtained;

The relationship between the multiple types of power usage parameters and the carbon emissions generated by the energy required for the operation of the power battery factory is analyzed, and a first carbon emission model is established as follows:
E energy = ∑AD i × EF i + ∑K × EF j × GWP j

Among them, Eenergy represents the carbon emissions generated by the energy required for the operation of the power battery factory, AD i represents the i-th type of electricity usage parameter, EF i represents the carbon emission factor of the i-th type of electricity, K is the natural gas usage, EF j is the j-th gas emission factor generated by the combustion of the natural gas, and GWP j is the greenhouse gas potential of the j-th gas generated by the combustion of the natural gas.
The method according to claim 2, wherein the analysis of the relationship between the geographical location parameters of the power battery plant address and the carbon emissions generated during the transportation of the required raw materials to obtain the second carbon emission model comprises:

According to the geographical location parameters of the power battery factory address and the geographical location of the material supplier, the types of transportation tools used in the transportation process of the required raw materials and the transportation distance parameters corresponding to the various transportation tools are obtained;

The second carbon emission model is established according to the following formula:

Among them, E- transportation refers to the carbon emissions generated during the transportation of the required raw materials. represents rounding up, ai represents the mass of raw materials that need to be transported by the ith means of transport, mi represents the carrying capacity of the ith means of transport, Li represents the transportation distance parameter of the ith means of transport, and RKi represents the carbon emissions generated per unit distance of transportation by the ith means of transport.
The method according to claim 2, wherein the relationship between the climate parameters of the area where the power battery factory is located and the carbon emissions generated by the cooling and heating of the power battery factory is analyzed to obtain a third carbon emission model, comprising:

According to the climate parameters of the area where the power battery factory is located, obtaining the air conditioning operation time parameters of the power battery factory;

And the third carbon emission model is established according to the following formula:
Eclimate = EL δ × m δ × EF δ

Among them, Eclimate represents the carbon emissions generated by cooling and heating of the power battery factory, EL δ represents the average energy consumption of air conditioning, m δ represents the air conditioning operation time parameter of the power battery factory, and EF δ represents the carbon emissions generated by the operation of air conditioning.
The method according to claim 2, before establishing the carbon emission model of the power battery factory, further comprises:

The relationship between the geographical location parameters of the power battery factory address and the carbon emissions generated by employees traveling from the power battery factory to the planned destination by transportation is analyzed to obtain the fourth carbon emissions Model;

The integrating the first carbon emission model, the second carbon emission model and the third carbon emission model to establish a power battery factory carbon emission model includes:

The first carbon emission model, the second carbon emission model, the third carbon emission model and the fourth carbon emission model are integrated to establish a power battery factory carbon emission model.
The method according to claim 6, wherein the relationship between the geographical location parameters of the power battery factory address and the carbon emissions generated by employees traveling from the power battery factory to the planned destination by transportation is analyzed to obtain a fourth carbon emission model, comprising:

The fourth carbon emission model is established through the following formula:

Among them, βi is the number of employees who plan to travel by the i-th means of transportation each year, ni is the number of passengers carried by the i-th means of transportation, hi is the reference distance from the power battery factory to the planned destination by the i-th means of transportation, and RKi is the carbon emissions generated by the i-th means of transportation per unit distance.
According to the method of claim 1, when establishing the carbon emission model of the power battery factory, indirect carbon emissions from power battery raw and auxiliary materials, carbon emissions caused by waste generated by power battery production, and direct carbon emissions in the power battery production process are also considered.
The method for site selection of a power battery factory according to claim 8, wherein the indirect carbon emissions of power battery raw materials and auxiliary materials are calculated by the following formula:
Eindirect = ∑CD i × EF i

Wherein, Eindirect is the carbon emission in the production process of raw materials and auxiliary materials, CDi is the planned usage of the i-th raw materials and auxiliary materials, which is determined by the power battery production planning scheme, and EFi represents the greenhouse gas emissions generated by the i-th raw materials and auxiliary materials per unit mass;

Furthermore, the carbon emissions caused by the waste generated by the production of the power battery are calculated by the following formula:

Wherein, E waste is the carbon emission caused by the waste generated by the production of the power battery, TOW i is the total content of the i-th degradable organic matter in the waste, S i is the i-th removable and solidified part of the waste, Bi is the CH 4 production capacity of the i-th degradable organic matter, MCF is the CH 4 correction factor, EF′ i is the greenhouse gas carbon emission generated by the i-th degradable organic matter per unit mass, is the conversion coefficient;

The direct carbon emissions in the power battery production process are calculated using the following formula:
Edirect ＝(c1-c2)×V×m ε

Wherein, E directly represents the direct carbon emissions in the production process of the power battery, c1 and c2 are the CO2 concentration of the exhaust gas emitted in the production process of the power battery and the CO2 concentration in the air, respectively, V is the exhaust gas generation volume, and mε is the exhaust gas emission time.
A power battery factory site selection device, comprising:

A model building module is configured to analyze the relationship between the factory construction address parameters and the total amount of carbon emissions generated by the power battery factory executing the power battery production planning scheme based on a preset power battery production planning scheme, so as to establish a carbon emission model for the power battery factory; wherein the factory construction address parameters include the geographical location parameters of the power battery factory construction address and the power structure parameters and climate parameters of the area where the power battery factory construction address is located;

The site selection module is configured to obtain at least one pre-selected feasible factory construction site, calculate the total carbon emissions generated by the power battery factory corresponding to each feasible factory construction site according to the geographical location of each feasible factory construction site in the at least one feasible factory construction site and the power structure and climate of the area where each feasible factory construction site is located, combined with the power battery factory carbon emission model, and select the feasible factory construction site with the least total carbon emissions as the final site selection for the power battery factory.