Method for standardizing total-factor carbon emission calculation system during operation period of building

Abstract

The invention discloses a method for standardizing a total-factor carbon emission calculation system during a building operation period, and provides a systematic, convenient and lightweight carbon emission calculation method during the building operation period. The problems that in a traditional calculation method, data storage is fragmented, data support is insufficient, and real data and calculation variables are not matched are solved. While comprehensive calculation of building operation energy consumption and carbon emission is realized, a complex process is optimized, and the integrity and efficiency of calculation are remarkably improved; the accuracy and the reliability of the data are ensured through uncertainty measurement and calculation and a data link technology; the method fills the blank of non-standardization and non-systematization of the current method, has good applicability and expansibility, and provides a scientific and simplified solution for popularization and carbon emission evaluation of green buildings.

Description

Technical Field

[0001] The present invention belongs to the field of building carbon emission calculation, and specifically relates to a standardization method for a full-factor carbon emission calculation system during building operation. Background Art

[0002] Buildings are one of the main sources of global greenhouse gas emissions, and energy conservation and emission reduction in buildings are the key targets of current environmental protection. By calculating the carbon emission value of a building, it is possible to better identify and quantify its impact on climate change, and at the same time help formulate corresponding energy conservation and emission reduction strategies to further respond to the "dual carbon" policy.

[0003] The calculation of carbon emissions during the building operation stage is an extremely important part of building energy conservation and carbon reduction. However, there are still the following problems in the current field of building carbon emission calculation:

[0004] 1. In the early stage of building carbon emission calculation, the formula calculation part lacks data support. Real data and calculation data cannot be matched, data fragmentation is obvious and the collection difficulty is large, which affects the promotion efficiency of carbon emission calculation work;

[0005] 2. From a concrete perspective, the current building carbon emission calculation method does not take into account the numerical difference effects brought by the building location and different building types on carbon emission calculation;

[0006] 3. There is no systematic, convenient, and automated calculation method for full-factor carbon emission data during building operation available for use.

[0007] In view of this, the present invention is specifically proposed. Summary of the Invention

[0008] The technical problem to be solved by the present invention is to overcome the deficiencies of the prior art, and provide a standardization method for a full-factor carbon emission calculation system during building operation, which solves the problems raised in the above background art.

[0009] To solve the above technical problems, the basic concept of the technical solution adopted by the present invention is:

[0010] A standardization method for a full-factor carbon emission calculation system during building operation includes the following steps:

[0011] S1: According to the relevant standards for carbon emission calculation, collect the numerical information required for carbon emission calculation during the building operation stage; based on the carbon emission calculation formula during the building operation stage in the "Standard for Building Carbon Emission Calculation" (GB / T 51366-2019), use methods such as literature analysis method and case study method to collect various relevant standards, literature, scientific research results and other materials published by the state, local or other public units, and find and obtain the numerical information of each independent variable required in the calculation formula from them;

[0012] S2: Perform consistency processing on the acquired data. Adopt the uncertainty measurement algorithm to conduct quality assessment and screening on various types of data, and select the data with the highest credibility as the final result. For the inconsistency between each data functional unit and the calculation boundary collected from the channels described in step S1, adopt the uncertainty measurement algorithm to process the independent variable values of different data sources, calculate the overall uncertainty corresponding to each independent variable, and select the value with the lowest uncertainty and the highest credibility as the final data result of this independent variable.

[0013] S3: Based on the processed data information, construct a standardized database required for carbon emission calculation, and perform hierarchical coding on the data according to building characteristics and system characteristics and establish data links. Database construction steps: Based on the data processed by uncertainty measurement, construct a standardized database for building carbon emission calculation, encode it using a hierarchical coding framework, and connect different data modules through data links to ensure data accuracy and non-repetition.

[0014] S4: According to the basic information of the target building, sequentially match the corresponding numerical data in the database, and use the matched data for subsequent calculations. Database preparation steps before calculation: Clarify the basic information of the target building, and sequentially select and match the data encoded at each level to ensure that the value of each independent variable corresponds to the characteristics of the target building.

[0015] S5: Use the matched data, combined with the calculation formulas and simulation tools of various building energy consumption systems, to calculate the energy consumption of various systems during the operation of the building. Energy consumption calculation steps: According to the results obtained from database processing, use simulation software to calculate the energy consumption of the air conditioning system, and calculate the energy consumption of other systems (such as domestic hot water, lighting, elevators) through the energy consumption calculation formulas provided in the "Standard for Building Carbon Emission Calculation".

[0016] S6: Based on the building energy consumption results, substitute them into the carbon emission calculation formula to complete the calculation of the total carbon emission during the operation stage of the target building. Building carbon emission calculation steps: Substitute the energy consumption values of various systems obtained in step e) into the building operation stage carbon emission calculation formula in the "Standard for Building Carbon Emission Calculation" to finally calculate the carbon emissions of the target building.

[0017] Optionally, the steps for performing consistency processing on the acquired data, adopting the uncertainty measurement algorithm to conduct quality assessment and screening on various types of data, and selecting the data with the highest credibility as the final result are as follows:

[0018] S201: Classify the data sources into five levels according to the reliability of the data sources, including national released standard data, local released standard data to unfounded assumption data, and assign uncertainty values of 0.00%, 2.50%, 5.00%, 10.00%, and 15.00% respectively; refer to the evaluation results Figure 5 .

[0019] S202: Evaluate the data expression detail according to three dimensions of year representativeness, building type directivity, and geographical representativeness, divide it into five levels, and assign uncertainty values of 0.00%, 0.50%, 1.00%, 1.50%, 2.50%, 5.00%, 10.00%, and 15.00% respectively; refer to the evaluation results Figure 6 .

[0020] S203: Classify the data into five levels according to the data acquisition method, and assign uncertainty values of 0%, 2.5%, 5%, and 10% respectively. The higher the data uncertainty, the lower the credibility; refer to the evaluation results Figure 7 .

[0021] S204: Based on the uncertainty values of the above evaluation dimensions, comprehensively calculate the overall uncertainty corresponding to a certain independent variable, and its expression is: Where: U Z is the overall uncertainty of the influencing factors for building carbon emission calculation; U1 is the data source uncertainty; U2 is the year representativeness uncertainty; U3 is the data type directivity uncertainty; U4 is the geographical representativeness uncertainty; U5 is the data acquisition method uncertainty.

[0022] S205: According to the calculated overall uncertainty, select the value with the lowest uncertainty, that is, the highest credibility, as the final result of the independent variable.

[0023] Optionally, when performing hierarchical coding in step S3, the first-level coding is the climate zone where the building is located and the building type; the second-level coding is the five different building energy consumption system types in the calculation formula of the existing standard "Standard for Calculating Building Carbon Emissions"; the third-level coding is each independent variable in the energy consumption calculation formula of each system; the fourth-level coding is the independent variable that needs to be further processed in combination with the first-level coding, that is, the selection results of the building type and the climate zone where the building is located. Based on this framework, a standardized database for calculating building carbon emissions is established.

[0024] Optionally, in step S3, the storage and subsequent call of database data are completed through the data link method. According to the hierarchical relationship between database codes, the collected and processed data is linked to determine an accurate, non-repetitive, and unique variable as the link variable to realize the link of each variable set and data module. Taking the database secondary code, that is, the five building energy use system types, as the link variables for each longitudinal sequence, five locked longitudinal sequence data links are formed.

[0025] Optionally, according to the basic information of the target building, the steps of sequentially matching the corresponding numerical data in the database and using the matched data for subsequent calculations are as follows:

[0026] S401: According to the basic information of the target building, select the climate zone where the target building is located and the building type to which the target building belongs in the database to determine the primary code;

[0027] S402: According to the actual situation of the target building, match the numerical results of each system classification in the secondary code and its subordinate tertiary codes. Among them, some of the tertiary codes of the air conditioning system need to be selected in combination with the actual situation of the target building, and the tertiary code results of the remaining systems are directly matched from the database;

[0028] S403: For the independent variables that need to be further processed in combination with the selection results of the primary code in the tertiary code, calculate and adjust the final values of the independent variables according to different building types or different climate zone conditions.

[0029] Optionally, when calculating the energy consumption of various systems during the operation of the building by using the matched data in combination with the calculation formulas and simulation tools of various building energy use systems, the various systems include the air conditioning system, domestic hot water system, lighting system, elevator system, and renewable energy system.

[0030] Optionally, for the air conditioning system, domestic hot water system, lighting system, elevator system, and renewable energy system, among them, the energy consumption of the air conditioning system is obtained by simulation using simulation software (Energy Plus). After entering the input interface of the software, the user makes subjective option settings according to the actual situation of the building (such as the type of air conditioning system, the type of cold and heat source, etc.), and other options (such as the usage time of the air conditioning system, the set temperature, etc.) are matched from the database. After completing the setting of all input options, the simulation software conducts simulation to obtain the energy consumption of the air conditioning system; the energy consumption of the domestic hot water system is calculated through the formula is calculated; the energy consumption of the lighting system is calculated through the formula is calculated; the energy consumption of the elevator system is calculated through the formula is calculated.

[0031] Optionally, the renewable energy system is divided into the following categories: The energy provided by the solar hot water system is calculated through the formula Obtained by calculation. In addition, Q r = TQ rp , In the formula: Q rp is the average hourly heat consumption of domestic hot water (kW·h (kWh)). The annual power generation of the photovoltaic system is calculated by the formula E pv = IK E (1 - K S )A p Obtained by calculation. The energy savings calculation of the ground source heat pump system is in the energy consumption of the heating, ventilation and air conditioning system. The annual power generation of the wind power generation system is calculated by the formula Obtained by calculation. Among them, C R (z)= K R ln(z / z0),

[0032] Optionally, in step S6, based on the building energy consumption result, substituting it into the carbon emission calculation formula to complete the calculation of the total carbon emission in the operation stage of the target building. When calculating the total carbon emission per unit building area in the building operation stage (C M ), it should be calculated according to the following formula: Among them, C M is the carbon emission per unit building area in the building operation stage (kg / CO2); E i is the annual consumption of the i-th type of energy in the building (unit / S1; EF i is the carbon emission factor of the i-th type of energy, which is taken according to Appendix A of this standard; E i，j is the consumption of the i-th type of energy of the j-th system (unit / S1; ER i，j is the amount of the i-th type of energy consumed by the j-th system provided by the renewable energy system (unit / S1; i is the type of terminal energy consumed by the building, including electricity, gas, oil, municipal heating, etc.; h is the type of building energy consumption system, including heating, air conditioning, lighting, domestic hot water system, etc.; C p is the annual carbon reduction amount of the building green space carbon sink system (kgCO2 / S1; y is the building design life (S1; A is the building area (m2).

[0033] After adopting the above technical solutions, the present invention has the following beneficial effects compared with the prior art. Of course, any product implementing the present invention does not necessarily need to achieve all the advantages described below at the same time:

[0034] The present invention proposes a systematic, convenient and lightweight method for calculating carbon emissions during building operation. By introducing a standardized database and a hierarchical coding framework, it solves the problems of fragmented data reserves, insufficient data support, and mismatch between real data and calculation variables in traditional calculation methods; while achieving a comprehensive calculation of building operation energy consumption and carbon emissions, it optimizes complex processes and significantly improves the integrity and efficiency of the calculation; through uncertainty measurement and data linking technology, it ensures the accuracy and reliability of data; fills the gap of non-standardization and non-systematization in current methods, has good applicability and scalability, and provides a scientific and simplified solution for the promotion of green buildings and carbon emission assessment.

[0035] The following further describes in detail the specific implementation manners of the present invention with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] The accompanying drawings in the following description are only some embodiments. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts. In the drawings:

[0037] Figure 1 is a flow chart of the standardized method;

[0038] Figure 2 is a schematic diagram of the three-level coding independent variable data set and coding setting of the database obtained based on the carbon emission calculation formula;

[0039] Figure 3 is a schematic diagram of the construction of the data inspection and output sequence of the building energy system;

[0040] Figure 4 is a schematic diagram of the specific three-level coding data set to be processed;

[0041] Figure 5 is a reliability data table of the data source;

[0042] Figure 6 is a numerical table of the uncertainty of the data expression detail;

[0043] Figure 7 is a numerical table of the uncertainty of the data acquisition method.

[0044] It should be noted that these drawings and text descriptions are not intended to limit the scope of the concept of the present invention in any way, but to illustrate the concept of the present invention to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0045] The present invention will now be further described in detail with reference to the accompanying drawings.

[0046] Please refer to Figure 1-7As shown, in this embodiment, a standardization method for a full-factor carbon emission calculation system during building operation is provided, including the following steps:

[0047] S1: According to the relevant standards for carbon emission calculation, collect the numerical information required for carbon emission calculation during the building operation stage; based on the carbon emission calculation formula for the building operation stage in the "Standard for Carbon Emission Calculation of Buildings" (GB / T 51366-2019), use methods such as literature analysis and case study to collect various relevant standards, literature, scientific research results, etc. published by the state, local or other public units, and search and obtain the numerical information of each independent variable required in the calculation formula from them.

[0048] S2: Conduct consistency processing on the obtained data. Use the uncertainty measurement algorithm to conduct quality assessment and screening of various data, and select the data with the highest credibility as the final result; for the disunity of the data functional unit and calculation boundary of each data collected from the channels described in step S1, use the uncertainty measurement algorithm to process the numerical values of the independent variables from different data sources, calculate the overall uncertainty corresponding to each independent variable, and select the value with the lowest uncertainty and the highest credibility as the final data result of this independent variable.

[0049] S3: Based on the processed data information, construct a standardized database required for carbon emission calculation, and classify and code the data according to building characteristics and system characteristics and establish data links; steps for database construction: Based on the data processed by uncertainty measurement, construct a standardized database for building carbon emission calculation, use a hierarchical coding framework for coding, and connect different data modules through data links to ensure data accuracy and non-repetition.

[0050] S4: According to the basic information of the target building, sequentially match the corresponding numerical data in the database, and use the matched data for subsequent calculations; steps for database preparation before calculation: clarify the basic information of the target building, and sequentially select and match the data with hierarchical coding to ensure that the numerical value of each independent variable corresponds to the characteristics of the target building.

[0051] S5: Use the matched data, combined with the calculation formulas and simulation tools of various building energy systems, to calculate the energy consumption of various systems during building operation; steps for energy consumption calculation: According to the results obtained from database processing, use simulation software to calculate the energy consumption of the air conditioning system, and calculate the energy consumption of other systems (such as domestic hot water, lighting, elevator) through the energy consumption calculation formulas provided in the "Standard for Carbon Emission Calculation of Buildings".

[0052] S6: Based on the building energy consumption results, substitute them into the carbon emission calculation formula to complete the calculation of the total carbon emissions during the operation stage of the target building; steps for calculating building carbon emissions: Substitute the energy consumption values of various systems obtained in step e) into the carbon emission calculation formula for the building operation stage in the "Building Carbon Emission Calculation Standard" to finally calculate the carbon emissions of the target building.

[0053] In this embodiment, for the obtained data, consistency processing is performed. Using the uncertainty measurement algorithm, quality assessment and screening are carried out on various types of data, and the steps for selecting the data with the highest credibility as the final result are as follows:

[0054] S201: According to the reliability of the data source, the data sources are divided into five levels, including national released standard data, local released standard data to unfounded assumption data, and uncertainty values of 0.00%, 2.50%, 5.00%, 10.00%, and 15.00% are respectively assigned;

[0055] S202: Evaluate the data expression detail degree according to three dimensions of year representativeness, building type directivity, and geographical representativeness, divide it into five levels, and respectively assign uncertainty values of 0.00%, 0.50%, 1.00%, 1.50%, 2.50%, 5.00%, 10.00%, and 15.00%;

[0056] S203: According to the data acquisition method, divide it into five levels, and respectively assign uncertainty values of 0%, 2.5%, 5%, 10%. The higher the data uncertainty, the lower the credibility;

[0057] S204: Based on the uncertainty values of the above evaluation dimensions, comprehensively calculate the overall uncertainty corresponding to a certain independent variable, and its expression is: Where: U Z is the overall uncertainty of the influencing factors for building carbon emission calculation; U1 is the data source uncertainty; U2 is the year representativeness uncertainty; U3 is the data type directivity uncertainty; U4 is the geographical representativeness uncertainty; U5 is the data acquisition method uncertainty.

[0058] S205: According to the calculated overall uncertainty, select the value with the lowest uncertainty, that is, the highest credibility, as the final result of this independent variable.

[0059] In this embodiment, when performing hierarchical coding in step S3, the first-level coding is the climate zone where the building is located and the building type; the second-level coding is the five different building energy consumption system types in the calculation formula of the existing standard "Building Carbon Emission Calculation Standard"; the third-level coding is each independent variable in the energy consumption calculation formula of each system; the fourth-level coding is the independent variable that needs to be further processed in combination with the first-level coding, that is, the selection results of the building type and the climate zone where the building is located. Based on this framework, a standardized database for building carbon emission calculation is established. The dataset of the third-level coding independent variables of the database obtained based on the carbon emission calculation formula and the coding settings are as Figure 2 shown:

[0060] In this embodiment, in step S3, the storage and subsequent call of the database data are completed through the data link method. According to the hierarchical relationship between the database codes, the collected and processed data are linked, and an accurate, non-repetitive, and unique variable is determined as the link variable to realize the link of each variable set and data module. Taking the second-level coding of the database, that is, the five building energy consumption system types, as the link variables of each longitudinal sequence respectively, five locked longitudinal sequence data links are formed. The specific work process is as follows Figure 3 shown.

[0061] It should be noted that: in step three, the storage and subsequent call of the database data are completed through the data link method. According to the hierarchical relationship between the database codes, the five building energy consumption systems (air conditioning system, domestic hot water system, lighting system, elevator system, renewable energy system) are processed separately to form independent longitudinal sequence data links, ensuring the accuracy, uniqueness, and non-repetitiveness of each variable set and data module.

[0062] Air conditioning system

[0063] Data inspection and processing include: multiple parameters such as summer set temperature, winter set temperature, summer and winter daily operating hours, total system operating days, building floor area, etc.

[0064] Sort and store the data of all parameters related to the air conditioning system, and link them into a unified output sequence for subsequent call.

[0065] Domestic hot water system

[0066] Data inspection and processing include: number of water consumption calculation units, annual domestic hot water usage hours, hot water consumption quota, specific heat of water, designed hot water temperature, domestic hot water system efficiency, etc.

[0067] Sort and merge the data of all relevant parameters, and link them into the output parameter sequence of the domestic hot water system.

[0068] Lighting system

[0069] Data inspection and processing include: the lighting power density value of the j-th room in the i-th month, the room lighting time, and the building area, etc.

[0070] Sort and store the data of the parameters related to the lighting system to form a complete output sequence.

[0071] Elevator system

[0072] Data inspection and processing include: specific energy consumption value, daily elevator operation time, total number of days of elevator operation, elevator weight, elevator rated speed, annual average power consumption of the elevator, etc.

[0073] Integrate the processed elevator system data to form a corresponding output parameter sequence.

[0074] Renewable energy system

[0075] Data inspection and processing include: solar collector area, solar irradiance, photovoltaic power generation, wind speed, and parameters related to the wind power generation system, etc.

[0076] Integrate and store the data of the renewable energy system to form an output parameter sequence.

[0077] Finally, link the five building energy consumption system types into a vertical data sequence through secondary coding to ensure the hierarchical association of the data and provide standardized and unified input variables for subsequent energy consumption and carbon emission calculations.

[0078] In this embodiment, according to the basic information of the target building, the steps of sequentially matching the corresponding numerical data in the database and using the matched data for subsequent calculations are as follows:

[0079] S401: According to the basic information of the target building, select the climate zone where the target building is located and the building type to which the target building belongs in the database to determine the primary code;

[0080] S402: According to the actual situation of the target building, match the numerical results of each system classification in the secondary code and its subordinate tertiary codes. Among them, some tertiary codes of the air conditioning system need to be selected in combination with the actual situation of the target building, and the tertiary code results of the remaining systems are directly matched from the database;

[0081] S403: For the independent variables that need to be further processed in combination with the selection results of the primary code in the tertiary code, calculate and adjust the final value of the independent variable according to different building types or different climate zone conditions. The specific datasets of the tertiary codes that need to be processed are as follows Figure 4 as shown.

[0082] In this embodiment, when calculating the energy consumption of various systems during the operation of a building by using the matching data and combining the calculation formulas and simulation tools of various building energy utilization systems, the various systems include an air-conditioning system, a domestic hot water system, a lighting system, an elevator system, and a renewable energy system.

[0083] In this embodiment, for the air-conditioning system, domestic hot water system, lighting system, elevator system, and renewable energy system, among them, the energy consumption of the air-conditioning system is obtained by simulation using simulation software (Energy Plus). After entering the input interface of the software, the user makes subjective option settings according to the actual situation of the building (such as the type of air-conditioning system, the type of cold and heat sources, etc.), and other options (such as the usage time of the air-conditioning system, the set temperature, etc.) are obtained by matching from the database. After completing the settings of all input options, the simulation software conducts a simulation to obtain the energy consumption of the air-conditioning system; the energy consumption of the domestic hot water system is calculated through the formula The energy consumption of the lighting system is calculated through the formula The energy consumption of the elevator system is calculated through the formula is calculated.

[0084] In this embodiment, the renewable energy system is divided into the following categories: The energy provided by the solar hot water system is calculated through the formula In addition, Q r = TQ rp , In the formula: Q rp is the average hourly heat consumption of domestic hot water (kW·h (kWh)), and the annual power generation of the photovoltaic system is calculated through the formula E pv = IK E (1 - K S )A p is calculated. The energy savings of the ground source heat pump system are calculated in the energy consumption of the heating, ventilation, and air conditioning system. The annual power generation of the wind power generation system is calculated through the formula is calculated, where C R (z) = K R ln(z / z0);

[0085] In this embodiment, in step S6, based on the building energy consumption results, substituting them into the carbon emission calculation formula to complete the calculation of the total carbon emissions during the operation stage of the target building, the total carbon emissions per unit building area (C M ) during the building operation stage should be calculated according to the following formula: Among them, C M is the carbon emission per unit building area during the building operation stage (kg / CO2); E i is the annual consumption of the i-th type of energy in the building (unit / S1; EF iThe carbon emission factor for the i-th type of energy is taken according to Appendix A of this standard; E i,j is the consumption of the i-th type of energy in the j-th system (unit / S1; ER i，j is the amount of the i-th type of energy consumed by the j-th system provided by the renewable energy system (unit / S1; i is the type of terminal energy consumed by the building, including electricity, gas, oil, municipal heating, etc.; j is the type of building energy consumption system, including heating and air conditioning, lighting, domestic hot water system, etc.; C p is the annual carbon emission reduction amount of the building green space carbon sink system (kgCO2 / S1; y is the building design life (S1; A is the building area (m2).

[0086] This method aims to provide a convenient, rapid, and process-based method for obtaining carbon emission calculation results when calculating the carbon emission data during the operation of a specific building, where there are problems such as lack of data support, non-standardized, non-conventional, and non-systematic carbon emission calculation methods in the calculation process. By establishing a standardized database for carbon emission calculation during building operation, various fragmented data required for carbon emission calculation are uniformly collected and standardized. Based on the carbon emission calculation formula provided in the "Standard for Carbon Emission Calculation of Buildings" during the building operation stage, the data in the established standard database are substituted for calculation to achieve the standardization, conventionalization, and systematization of the calculation method.

[0087] The standardized database for carbon emission calculation mentioned above refers to collecting various relevant standards, literature, scientific research results, etc. published by the country or other public units, searching and obtaining the numerical information of independent variables related to the carbon emission calculation formula from them. After processing and screening the data for uncertainty, a database coding framework is constructed, and hierarchical coding and data linking are carried out according to the calculation formulas of each energy consumption system provided in the "Standard for Carbon Emission Calculation of Buildings", and finally a complete and orderly standardized database for carbon emission calculation is obtained.

[0088] The present invention is not limited to the above embodiments. Anyone should know that structural changes made under the inspiration of the present invention, as long as they have the same or similar technical solutions as the present invention, fall within the protection scope of the present invention. The technologies, shapes, and structures not described in detail in the present invention are all well-known technologies.

Claims

1. A standardized method for calculating the total factor carbon emissions during the operation of a building, characterized in that, It includes the following steps: S1: According to the relevant standards for carbon emission calculation, collect the numerical information required for carbon emission calculation during the building operation stage; S2: Conduct consistency processing on the obtained data. Adopt the uncertainty measurement algorithm to conduct quality assessment and screening on various types of data, and select the data with the highest credibility as the final result; S3: Based on the processed data information, construct a standardized database required for carbon emission calculation, classify and code the data according to building characteristics and system characteristics, and establish data links; S4: According to the basic information of the target building, sequentially match the corresponding numerical data in the database, and use the matched data for subsequent calculations; S5: Utilize the matched data, combine the calculation formulas and simulation tools of various building energy systems, and calculate the energy consumption of various systems during the building operation; S6: Based on the building energy consumption results, substitute them into the carbon emission calculation formula to complete the calculation of the total carbon emission during the operation stage of the target building.

2. The standardized method for a full-factor carbon emission calculation system during the operation of a building according to claim 1, characterized in that, The steps for conducting consistency processing on the obtained data, adopting the uncertainty measurement algorithm, conducting quality assessment and screening on various types of data, and selecting the data with the highest credibility as the final result are as follows: S201: Classify the data sources into five levels according to the reliability of the data sources; S202: Evaluate the data expression detail degree from three dimensions of year representativeness, building type directivity, and geographical representativeness, divide it into five levels, and assign uncertainty values respectively; S203: Classify the data into five levels according to the data acquisition method, and assign uncertainty values respectively. The higher the data uncertainty, the lower the credibility; S204: Based on the uncertainty values of the above-mentioned evaluation dimensions, comprehensively calculate the overall uncertainty corresponding to a certain independent variable, and its expression is: Where: U Z Is the overall uncertainty of the influencing factors for building carbon emission calculation; U1 is the uncertainty of data source; U2 is the uncertainty of year representativeness; U3 is the uncertainty of data type directivity; U4 is the uncertainty of geographical representativeness; U5 is the uncertainty of data acquisition method. S205: According to the calculated overall uncertainty, select the value with the lowest uncertainty, that is, the highest credibility, as the final result of this independent variable.

3. A method for standardizing a full-factor carbon emission calculation system during the operation of a building, as claimed in claim 1, wherein When conducting hierarchical coding in step S3, the first-level coding is the climate zone where the building is located and the building type; the second-level coding is the five different building energy system types in the calculation formula of the existing standard; the third-level coding is each independent variable in the energy consumption calculation formula of each system; the fourth-level coding is the independent variable that needs to be further processed in combination with the first-level coding, that is, the selection results of the building type and the climate zone where the building is located. Based on this framework, establish a standardized database for building carbon emission calculation.

4. A method for standardizing a full-factor carbon emission calculation system during the operation of a building, as described in claim 1, characterized in that, In step S3, the storage and subsequent call of the database data are completed through the data link method. According to the hierarchical relationship between the database codes, conduct link processing on the collected and processed data, determine an accurate, non-repetitive, and unique variable as the link variable, and realize the link of each variable set and data module. Use the second-level coding of the database, that is, the five building energy system types, as the link variables for each longitudinal sequence respectively, and form five locked longitudinal sequence data links.

5. A method for standardizing a full-factor carbon emission calculation system during the operation of a building, as claimed in claim 1, wherein The steps for sequentially matching the corresponding numerical data in the database according to the basic information of the target building and using the matched data for subsequent calculations are as follows: S401: According to the basic information of the target building, select the climate zone where the target building is located and the building type to which the target building belongs in the database to determine the first-level coding; S402: According to the actual situation of the target building, match the system classifications in the secondary code and the numerical results of the tertiary codes under them. Among them, some of the tertiary codes of the air conditioning system need to be selected in combination with the actual situation of the target building, and the tertiary code results of the remaining systems are directly obtained by matching from the database; S403: For the independent variables in the tertiary code that need to be further processed in combination with the selection result of the primary code, calculate and adjust the final value of the independent variable according to different building types or different climate zone conditions.

6. A standardization method for a full-factor carbon emission calculation system during the operation of a building, characterized in that, When calculating the energy consumption of various systems during the building operation by using the matched data in combination with the calculation formulas and simulation tools of various building energy-using systems, the various systems include the air conditioning system, domestic hot water system, lighting system, elevator system, and renewable energy system.

7. A standardization method for a full-factor carbon emission calculation system during the operation of a building, characterized in that, Air conditioning system, domestic hot water system, lighting system, elevator system, renewable energy system. Among them, the energy consumption of the air conditioning system is obtained through simulation software. After entering the input interface of the software, the user makes subjective option settings according to the actual situation of the building, and other options are obtained by matching from the database. After completing the settings of all input options, the simulation software conducts simulations to obtain the energy consumption of the air conditioning system; the energy consumption of the domestic hot water system is obtained through the formula Calculated; the energy consumption of the lighting system is obtained through the formula Calculated; the energy consumption of the elevator system is obtained through the formula Calculated.

8. A method for standardizing a full-factor carbon emission calculation system during the operation of a building, according to claim 1, characterized in that Renewable energy systems are divided into the following categories: The solar water heating system provides energy calculated by the formula In addition, Q r = TQ rp , In the formula: Q rp is the average hourly heat consumption of domestic hot water (kW·h(kWh)). The annual power generation of the photovoltaic system is calculated by the formula E pv = IK E (1 - K S )A p The energy saving of the ground source heat pump system is calculated in the energy consumption of the HVAC system. The annual power generation of the wind power generation system is calculated by the formula where C R (z) = K R ln(z / z0), 9. A method for standardizing a full-factor carbon emission calculation system during the operation of a building, as described in claim 1, characterized in that, In step S6, when calculating the total carbon emissions during the operation stage of the target building by substituting the building energy consumption results into the carbon emission calculation formula, the total carbon emissions per unit building area (C M ) during the building operation stage shall be calculated according to the following formula: where C M is the carbon emissions per unit building area during the building operation stage (kg / CO2); E i is the annual consumption of the i-th type of energy in the building (unit / S1; EF i is the carbon emission factor of the i-th type of energy, which is taken according to Appendix A of this standard; E i，j is the consumption of the i-th type of energy in the j-th system (unit / S1; ER i，j is the amount of the i-th type of energy consumed by the j-th system provided by the renewable energy system (unit / S1; i is the type of terminal energy consumed by the building, including electricity, gas, oil, municipal heating, etc.; j is the type of building energy-using system, including heating and air-conditioning, lighting, domestic hot water system, etc.; C p is the annual carbon reduction amount of the building green space carbon sink system (kgCO 2 / S1; y is the design life of the building (S1; A is the building area (m 2 ).

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