Data analysis method, device and equipment based on campus zero carbonization reconstruction and medium

By conducting a comprehensive analysis of campus data, including energy consumption and carbon emissions, and calculating carbon offsets, the problem of incomplete data analysis in the zero-carbon transformation of the campus was solved, providing accurate data support and improving the rationality of the transformation plan.

CN119761853BActive Publication Date: 2025-11-18CHINA YANGTZE POWER +1
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Patent Information

Application Number
CN202411832329.4
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-12-12
Publication Date
2025-11-18
Estimated Expiration
2044-12-12

AI Technical Summary

Technical Problem

In the process of achieving zero-carbon transformation of campuses, existing technologies suffer from incomplete data analysis, failing to provide accurate and robust support for the transformation.

Method used

By acquiring campus data, including basic campus information, landscape and ecological information, basic building information, energy information, and renewable energy information, energy consumption and carbon emission analysis is conducted, carbon offset is calculated, and the objects, objectives, and effects of zero-carbon transformation of the campus are determined based on the energy consumption and carbon emission results.

Benefits of technology

This improved the richness and sufficiency of data analysis, providing accurate data support for the campus zero-carbon transformation plan and enhancing the plan's rationality.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The present disclosure relates to a data analysis method, device, equipment and medium based on campus zero carbonization reconstruction. The data analysis method based on campus zero carbonization reconstruction comprises: obtaining campus data; analyzing the energy use of the campus and each single building in a preset period based on the campus data; analyzing the resource utilization of each renewable energy based on the campus renewable energy information; simultaneously performing carbon emission accounting and carbon emission analysis of the campus, and then determining the zero carbonization reconstruction scheme of the campus according to the energy consumption analysis results of the campus and the single building, and the carbon emission analysis results of the campus. Thus, the object of zero carbonization reconstruction can be determined by fully combining the energy consumption and carbon emission analysis results, which improves the richness of data and the sufficiency of data analysis in the process of zero carbonization reconstruction, further provides accurate and strong support for formulating the zero carbonization reconstruction scheme, and improves the rationality of the zero carbonization reconstruction scheme.
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Description

Technical Field

[0001] This disclosure relates to the field of zero-carbon transformation technology, and in particular to a data analysis method, apparatus, equipment and medium based on zero-carbon transformation of campuses. Background Technology

[0002] Given the large number of campuses and the large number of teachers and students in my country, as well as their characteristics of high per capita density, concentrated energy consumption, and diverse building types, campuses play a crucial role in the zero-carbon transition.

[0003] In the process of achieving zero-carbon transformation of campuses, the collection, integration, analysis, and management of campus data are crucial prerequisites and strong guarantees for achieving the goal of zero-carbon transformation. However, the common method currently used in the process of achieving zero-carbon transformation of campuses is to analyze carbon emission data and then use the results to guide the transformation. This approach suffers from incomplete data analysis, thus failing to provide accurate and robust support for the transformation. Summary of the Invention

[0004] To address the aforementioned technical issues, this disclosure provides a data analysis method, apparatus, equipment, and medium based on zero-carbon transformation of campuses.

[0005] The first aspect of this disclosure provides a data analysis method based on zero-carbon transformation of campuses, including:

[0006] Acquire campus data, including basic campus information, campus landscape and ecological information, basic campus building information, campus energy information, campus renewable energy information, and campus target carbon emission data;

[0007] Based on campus data, the energy usage of the campus and each individual building within a preset period is analyzed to obtain the first energy consumption analysis result for the campus and the second energy consumption analysis result for each individual building.

[0008] Based on campus renewable energy information, the resource utilization of each renewable energy source is analyzed to obtain the third energy consumption analysis results for each renewable energy source.

[0009] Identify at least one type of carbon emission source in the campus data, calculate the carbon emissions corresponding to each type of carbon emission source in the campus, and calculate the carbon offset amount corresponding to the campus based on the campus data;

[0010] The actual carbon emissions on campus are determined based on carbon emissions and carbon offsets.

[0011] The carbon emissions situation on campus is analyzed based on carbon emissions, carbon offsets, and actual carbon emissions, and the carbon emissions analysis results are obtained.

[0012] The results of the first energy consumption analysis, the second energy consumption analysis, the third energy consumption analysis, and the carbon emission analysis were determined as the data analysis results for the zero-carbon transformation of the campus.

[0013] A second aspect of this disclosure provides a data analysis device based on zero-carbon transformation of campuses, comprising:

[0014] The information acquisition module is used to acquire campus data, which includes basic campus information, campus landscape and ecological information, basic campus building information, campus energy information, campus renewable energy information, and campus target carbon emission data.

[0015] The first energy consumption analysis module is used to analyze the energy usage of the campus and each individual building within a preset period based on campus data, and to obtain the first energy consumption analysis result for the campus and the second energy consumption analysis result for each individual building.

[0016] The second energy consumption analysis module is used to analyze the resource utilization of each renewable energy source based on campus renewable energy information, and obtain the third energy consumption analysis results corresponding to each renewable energy source.

[0017] The carbon emission calculation module is used to identify at least one type of carbon emission source in the campus data, calculate the carbon emission amount corresponding to each type of carbon emission source in the campus, and calculate the carbon offset amount corresponding to the campus based on the campus data.

[0018] The actual carbon emissions calculation module is used to determine the actual carbon emissions corresponding to the campus based on the carbon emissions and carbon offsets.

[0019] The carbon emission analysis module is used to analyze the carbon emission situation on campus based on carbon emission amount, carbon offset amount and actual carbon emission amount, and obtain carbon emission analysis results;

[0020] The analysis results determination module is used to determine the first energy consumption analysis result, the second energy consumption analysis result, the third energy consumption analysis result, and the carbon emission analysis result as the data analysis results for the campus zero-carbon transformation.

[0021] A third aspect of this disclosure provides an electronic device, including:

[0022] processor;

[0023] Memory, used to store executable instructions;

[0024] The processor is used to read executable instructions from memory and execute the executable instructions to implement the data analysis method based on campus zero-carbon transformation provided in the first aspect above.

[0025] A fourth aspect of this disclosure provides a computer-readable storage medium storing a computer program that, when executed by a processor, causes the processor to implement the data analysis method based on zero-carbon transformation of campuses provided in the first aspect.

[0026] The technical solution provided in this disclosure has the following advantages compared with the prior art:

[0027] The data analysis method, apparatus, equipment, and medium based on campus zero-carbon transformation provided in this disclosure can acquire campus data, including basic campus information, campus landscape and ecological information, basic campus building information, campus energy information, campus renewable energy information, and campus target carbon emission data. Based on the campus data, the energy usage of the campus and each individual building within a preset period is analyzed to obtain a first energy consumption analysis result for the campus and a second energy consumption analysis result for each individual building. Based on the campus renewable energy information, the resource utilization of each renewable energy source is analyzed to obtain a third energy consumption analysis result for each renewable energy source. At least one type of carbon emission source corresponding to the campus data is determined, and the corresponding carbon emission sources for each type in the campus are calculated. The system calculates the carbon emissions of the campus and the corresponding carbon offset based on campus data; it determines the actual carbon emissions of the campus based on the carbon emissions and carbon offset; it analyzes the carbon emissions of the campus based on the carbon emissions, carbon offset, and actual carbon emissions to obtain carbon emission analysis results; and it uses the first energy consumption analysis results, the second energy consumption analysis results, the third energy consumption analysis results, and the carbon emission analysis results as the data analysis results for the campus zero-carbon transformation. This allows for a comprehensive combination of energy consumption analysis results and carbon emission analysis results to determine the objects, objectives, and effects of zero-carbon transformation, thus improving the richness and sufficiency of data in the process of campus zero-carbon transformation. This provides accurate and strong support for formulating campus zero-carbon transformation plans, thereby improving the rationality of the campus zero-carbon transformation plans. Attached Figure Description

[0028] The accompanying drawings, which are incorporated in and form a part of this specification, illustrate embodiments consistent with this disclosure and, together with the description, serve to explain the principles of this disclosure.

[0029] To more clearly illustrate the technical solutions in the embodiments of this disclosure or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0030] Figure 1 This is a flowchart of a data analysis method based on zero-carbon transformation of a campus, provided in an embodiment of this disclosure;

[0031] Figure 2 This is a flowchart of a resource utilization analysis method provided in an embodiment of this disclosure;

[0032] Figure 3 This is a flowchart of a method for analyzing the utilization of renewable energy provided in an embodiment of this disclosure;

[0033] Figure 4 This is a flowchart of a carbon emission accounting method provided in an embodiment of this disclosure;

[0034] Figure 5 This is a flowchart of a carbon emission analysis method provided in an embodiment of this disclosure;

[0035] Figure 6 This is a schematic diagram of the structure of a data analysis device based on zero-carbon transformation of a campus, provided in an embodiment of this disclosure;

[0036] Figure 7 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this disclosure. Detailed Implementation

[0037] To better understand the above-mentioned objectives, features, and advantages of this disclosure, the solutions disclosed herein will be further described below. It should be noted that, unless otherwise specified, the embodiments and features described herein can be combined with each other.

[0038] Numerous specific details are set forth in the following description in order to provide a full understanding of this disclosure, but this disclosure may also be implemented in other ways different from those described herein; obviously, the embodiments in the specification are only some, and not all, of the embodiments of this disclosure.

[0039] It should be understood that the steps described in the method embodiments of this disclosure may be performed in different orders and / or in parallel. Furthermore, the method embodiments may include additional steps and / or omit the steps shown. The scope of this disclosure is not limited in this respect.

[0040] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0041] It should be noted that the terms "a" and "a plurality of" used in this disclosure are illustrative rather than restrictive, and those skilled in the art should understand that, unless otherwise expressly indicated in the context, they should be understood as "one or more".

[0042] Currently, the common approach in campus zero-carbon transformation is to analyze carbon emission data and then use the results to guide the transformation. However, this method suffers from incomplete data analysis, failing to provide accurate and robust support for the transformation. To address this issue, this disclosure provides a data analysis method for campus zero-carbon transformation, which will be described below with reference to specific embodiments.

[0043] Figure 1 This is a flowchart of a data analysis method based on zero-carbon transformation of a campus, provided by an embodiment of the present disclosure. The method is applicable to the application scenario of zero-carbon transformation of a campus. The method can be executed by a data analysis device based on zero-carbon transformation of a campus. The data analysis device based on zero-carbon transformation of a campus can be implemented in software and / or hardware. The data analysis device based on zero-carbon transformation of a campus can be configured in an electronic device, such as a server or terminal. The terminal specifically includes mobile phones, computers or tablet computers, etc.

[0044] like Figure 1 As shown in the figure, the data analysis method based on zero-carbon transformation of campuses provided in this embodiment includes the following steps.

[0045] S110. Obtain campus data, including basic campus information, campus landscape and ecological information, basic campus building information, campus energy information, campus renewable energy information, and campus target carbon emission data.

[0046] In this embodiment of the disclosure, the campus data may be data obtained in advance through visits, surveys combined with map information, or from the campus's official website, relevant campus departments, and other channels.

[0047] Basic campus information may include the total number of students, total campus area, campus size, and building classification information. Campus size may include the total land area, total number of buildings, heating area, building density, and plot ratio.

[0048] Campus landscape ecological information can include the types of vegetation planted on campus, the planting area corresponding to each type of vegetation, the proportion of each type of vegetation, the campus green space ratio, and the campus greening rate.

[0049] The basic information of campus buildings can include the architectural design information and thermal information of each individual building. The architectural design information can include the building name, building type, building year, building area, number of floors, floor height and number of energy users of each individual building. The thermal information can include the shape coefficient, window-to-wall ratio, green area, orientation, materials used in the external envelope of different parts of the building and its construction.

[0050] Campus energy information can include the primary energy consumption for the entire campus and the secondary energy consumption for each individual building. Each individual building can be understood as an independent structure, such as a standalone building. Specifically, the primary energy consumption for the entire campus can include information on purchased electricity (i.e., electricity usage), purchased heat (including municipal heating), gas consumption, water consumption, gasoline consumption, diesel consumption, coal consumption, and the costs incurred from the consumption of various energy resources within a preset period. The secondary energy consumption for each individual building can include information on purchased electricity (i.e., electricity usage), purchased heat (i.e., heat usage), and gas consumption for each individual building within a preset period. The preset period can be monthly, quarterly, or annually, and can be set according to specific circumstances; no restrictions are imposed here.

[0051] Campus renewable energy information can include basic information about the campus renewable energy systems and their capacity within a preset period. These systems include photovoltaic (PV) power generation systems, solar thermal systems, and heat pump systems. Capacity includes the PV power generation from the PV power generation systems, the initial heating capacity of the solar thermal systems, and the secondary heating capacity of the heat pump systems within the preset period. Basic information about the campus renewable energy systems can include equipment and installation information for each system.

[0052] Campus target carbon emission data can include purchased green electricity, carbon trading volume and amount, waste disposal data, and carbon emission data from off-campus research and travel. Waste disposal data includes the amount of wet waste, dry waste, research waste, and domestic wastewater discharge within a preset period. Off-campus research and travel carbon emission data can include electricity consumption at off-campus research bases, faculty travel mileage (air), faculty travel mileage (high-speed rail), and faculty travel mileage (driving).

[0053] Specifically, when responding to data analysis based on campus zero-carbon transformation, electronic devices can determine the data identification information corresponding to the zero-carbon transformation and retrieve campus data from a preset database based on the data identification information.

[0054] S120. Based on campus data, analyze the energy usage of the campus and each individual building within a preset period to obtain the first energy consumption analysis result for the campus and the second energy consumption analysis result for each individual building.

[0055] Specifically, after acquiring campus data, the electronic equipment analyzes the energy usage of the campus and each individual building from the perspectives of the campus, the basic information of campus buildings, and the energy information of the campus, based on the campus's basic information, the basic information of campus buildings, and the energy usage of each individual building. It analyzes the energy usage of the campus and the individual buildings from aspects such as total energy consumption, energy consumption level, energy consumption changes, and energy consumption structure, thereby obtaining the first energy consumption analysis result for the campus and the second energy consumption analysis result for each individual building.

[0056] S130. Based on campus renewable energy information, analyze the resource utilization of each renewable energy source to obtain the third energy consumption analysis results corresponding to each renewable energy source.

[0057] Specifically, after acquiring campus data, the electronic devices analyze the resource utilization of campus renewable energy based on campus renewable energy information, including the component parameter performance, energy production trend, and contribution rate to the campus for each type of campus renewable energy system, and obtain the third energy consumption analysis results for each type of renewable energy.

[0058] S140. Identify at least one type of carbon emission source in the campus data, calculate the carbon emission amount corresponding to each type of carbon emission source in the campus, and calculate the carbon offset amount corresponding to the campus based on the campus data.

[0059] In this embodiment of the disclosure, carbon offset can be understood as the amount of emission reduction generated through emission reduction activities on campus to offset the emissions from other emission sources.

[0060] Specifically, after acquiring campus data, electronic devices can determine the energy and consumption corresponding to each type of carbon emission source based on the different carbon emission sources in the campus data, and then calculate the carbon emission amount of each carbon emission source. Based on the sources of carbon offsetting on campus, such as vegetation planting, renewable energy systems, carbon trading volume, and purchased green electricity, the carbon offset amount of the campus can be calculated to obtain the campus's carbon emissions and carbon offset amount.

[0061] S150. Determine the actual carbon emissions corresponding to the campus based on carbon emissions and carbon offsets.

[0062] Specifically, after obtaining the carbon emissions corresponding to each type of carbon emission source on campus, the electronic device determines the total carbon emissions corresponding to the campus by summing the carbon emissions corresponding to each type of carbon emission source on campus, and then subtracts the carbon offset amount from the total carbon emissions corresponding to the campus to determine the actual carbon emissions corresponding to the campus.

[0063] S160. The carbon emissions situation on campus is analyzed based on carbon emissions, carbon offsets, and actual carbon emissions to obtain carbon emission analysis results.

[0064] Specifically, after acquiring the carbon emissions, carbon offsets, and actual carbon emissions corresponding to each type of carbon emission source on campus, the electronic equipment analyzes the campus's carbon emission trends, unit area indicators, per capita carbon emission indicators, carbon emission structure, and carbon emission reduction status, thereby obtaining carbon emission analysis results.

[0065] S170. The results of the first energy consumption analysis, the second energy consumption analysis, the third energy consumption analysis, and the carbon emission analysis are determined as the data analysis results for the zero-carbon transformation of the campus.

[0066] Specifically, after the electronic equipment performs energy consumption and carbon emission analysis on the campus and each individual building based on campus data, it determines the energy consumption analysis results and carbon emission analysis results, namely the first energy consumption analysis result, the second energy consumption analysis result, the third energy consumption analysis result, and the carbon emission analysis result, as the data analysis results for the campus zero-carbon transformation. These results are then used in the process of formulating the campus zero-carbon transformation plan, providing strong data support for the formulation of the campus zero-carbon transformation plan.

[0067] It should be noted that there is no restriction on the execution order of steps S120, S130 and S140-S160. Steps S120, S130 and S140-S160 can be executed simultaneously or in other orders.

[0068] In this embodiment, campus data can be acquired, including basic campus information, campus landscape and ecological information, basic campus building information, campus energy information, campus renewable energy information, and campus target carbon emission data. Based on the campus data, the energy usage of the campus and each individual building within a preset period is analyzed to obtain a first energy consumption analysis result for the campus and a second energy consumption analysis result for each individual building. Based on the campus renewable energy information, the resource utilization of each renewable energy source is analyzed to obtain a third energy consumption analysis result for each renewable energy source. At least one type of carbon emission source corresponding to the campus data is determined, and the carbon emission amount corresponding to each type of carbon emission source in the campus is calculated. The process involves calculating the carbon offset corresponding to the campus; determining the actual carbon emissions of the campus based on carbon emissions and carbon offset; analyzing the campus's carbon emissions based on carbon emissions, carbon offset, and actual carbon emissions to obtain carbon emission analysis results; and using the first, second, and third energy consumption analysis results, along with the carbon emission analysis results, as the data analysis results for the campus zero-carbon transformation. This allows for a comprehensive integration of energy consumption and carbon emission analysis results to determine the objects, objectives, and effects of zero-carbon transformation, thereby increasing the richness and sufficiency of data during the campus zero-carbon transformation process. This provides accurate and robust support for developing a campus zero-carbon transformation plan, ultimately enhancing the rationality of the plan.

[0069] Figure 2 This is a flowchart of a resource utilization analysis method provided in an embodiment of this disclosure, such as... Figure 2 As shown, the resource utilization of the campus can be analyzed from two perspectives: the campus as a whole and individual buildings. For the campus perspective, steps S210-S270 are executed; for the individual building perspective, steps S280-S2050 are executed. The specific steps are as follows:

[0070] S210. For the campus, obtain the first standard coal equivalent coefficient corresponding to each of the various primary energy sources for the campus.

[0071] In this embodiment of the disclosure, the standard coal conversion factor refers to the proportional factor for converting various energy sources into standard coal based on their calorific value.

[0072] The consumption of primary energy sources can include the electricity purchased from outside the campus (i.e., electricity consumption), the heat purchased from outside the campus (which may include municipal heat supply), the consumption of natural gas, gasoline, diesel, and coal.

[0073] Specifically, after acquiring campus data, the electronic device determines the various primary energy sources corresponding to the total energy consumption of the campus, and obtains the first standard coal equivalent coefficient corresponding to each primary energy source from a preset database based on the identification information of each primary energy source.

[0074] S220. Calculate the total energy consumption of the campus within the preset period based on the first standard coal equivalent coefficient and the first consumption amount.

[0075] Specifically, after obtaining the first standard coal equivalent coefficient corresponding to the first energy source, the electronic device determines the energy consumption of each first energy source by multiplying the first standard coal equivalent coefficient corresponding to each first energy source with the first consumption amount, and adds up the energy consumption of multiple first energy sources to obtain the total energy consumption of the campus.

[0076] S230. Calculate the first per capita indicator and the first unit building area indicator for the campus based on the first consumption, the total campus area, and the total number of campus residents.

[0077] Among them, the first per capita indicator and the first unit building area indicator are used to evaluate the energy consumption level of the campus.

[0078] Specifically, after acquiring the first consumption amount, the electronic device determines the ratio of the first consumption amount to the total campus area as the first unit building area index for each type of first energy, and determines the ratio of the first consumption amount to the total number of people on campus as the first per capita index for each type of first energy.

[0079] S240. Analyze the changing trends of total campus energy consumption, primary energy consumption, primary per capita indicator, and primary unit building area indicator to obtain the primary trend analysis results.

[0080] Specifically, after acquiring the campus's total energy consumption, primary energy consumption, primary per capita energy consumption, and primary building area energy consumption within a preset period, the electronic equipment analyzes the changing trends of total campus energy consumption based on historical data, analyzes the changing trends of primary energy consumption based on historical data for various primary energy sources, and calculates the year-on-year, month-on-month, and year-on-year changes in total campus energy consumption, primary energy consumption, primary per capita energy consumption, and primary building area energy consumption. This allows for a quantitative analysis of the changing trends of these indicators, yielding the primary trend analysis results. Based on these primary trend analysis results, the campus's energy consumption patterns are determined, and the rationality of energy use is assessed.

[0081] S250. Calculate the first proportion of various first energy sources based on the first consumption and the total energy consumption of the campus, and obtain the first energy consumption structure corresponding to the campus based on the first proportion.

[0082] Specifically, after determining the total energy consumption of the campus and the first consumption corresponding to the first energy source, the electronic equipment converts the first consumption of each first energy source into the amount of standard coal, and determines the ratio of this first consumption to the total energy consumption of the campus as the first proportion of each first energy source, thereby determining the energy consumption structure of the campus and obtaining the first energy consumption structure.

[0083] Furthermore, after obtaining the first energy-consuming structure, the electronic device can display the first energy-consuming structure in the form of a diagram.

[0084] S260. Calculate the first per capita total energy consumption, the first unit area total energy consumption, and the per capita water consumption of the campus based on the total energy consumption of the campus. Compare the first per capita total energy consumption, the first unit area total energy consumption, and the per capita water consumption with their corresponding first reference values ​​to obtain the first comparison result.

[0085] Specifically, after acquiring the total energy consumption of the campus, the electronic equipment determines the ratio of the total energy consumption of the campus to the total number of people on campus as the first per capita total energy consumption, the ratio of the total energy consumption of the campus to the total area of ​​the campus as the first unit area total energy consumption, and the ratio of the corresponding water consumption of the campus to the total number of people on campus as the per capita water consumption. At the same time, it retrieves reference values ​​for evaluating campus resource indicators from a preset database, compares the first per capita total energy consumption, the first unit area total energy consumption, and the per capita water consumption with their corresponding first reference values ​​to obtain the first comparison result. Based on the first comparison result, it determines whether the energy consumption level of the campus exceeds the reference value. If it exceeds the first reference value, it determines the target and direction of transformation based on the proportion of exceeding the first reference value.

[0086] S270. The total energy consumption of the campus, the first per capita indicator, the first unit building area indicator, the first trend analysis result, the first energy consumption structure, and the first comparison result are determined as the first energy consumption analysis result.

[0087] S280. For each individual building, obtain the second standard coal equivalent coefficient corresponding to each of the various secondary energy sources for that individual building.

[0088] In this embodiment of the disclosure, the amount of the second energy source may include the purchased electricity (i.e., electricity consumption) corresponding to a single building, the purchased heat (which may include municipal heating) and the amount of gas used.

[0089] Specifically, after acquiring campus data, the electronic device determines the various secondary energy sources corresponding to the total energy consumption of each individual building, and obtains the first standard coal equivalent coefficient corresponding to the primary energy source from a preset database based on the identification information of each secondary energy source.

[0090] S290. Calculate the total energy consumption of each individual building within the preset period based on the second standard coal equivalent coefficient and the second consumption amount.

[0091] Specifically, after obtaining the second standard coal equivalent coefficient corresponding to the second energy source, the electronic device determines the energy consumption of each second energy source by multiplying the second standard coal equivalent coefficient corresponding to each second energy source with the second consumption amount, and adds up the energy consumption of multiple second energy sources to obtain the total energy consumption of each individual building.

[0092] The specific formula for calculating total energy consumption (including total campus energy consumption and total energy consumption of individual buildings) is as follows:

[0093]

[0094] Where E is the total energy consumption; E i K represents the consumption of the i-th type of energy; i Let be the standard coal equivalent coefficient for the i-th energy source.

[0095] S2010. Based on the second consumption amount, the building area of ​​the individual building and the number of energy users, calculate the second per capita index and the second unit building area index corresponding to the individual building, and calculate the second per capita total energy consumption and the second unit area total energy consumption corresponding to the individual building based on the total energy consumption of the individual building.

[0096] Among them, the second per capita indicator and the second unit building area indicator are used to evaluate the energy consumption level of individual buildings.

[0097] Specifically, after acquiring the second consumption, the electronic device determines the ratio of the second consumption to the building area of ​​a single building as the second unit building area index for each type of second energy source, determines the ratio of the second consumption to the number of energy users in a single building as the second per capita index for each type of second energy source, determines the ratio of the total energy consumption of a single building to the building area of ​​a single building as the second total energy consumption per unit area corresponding to the single building, and determines the ratio of the total energy consumption of a single building to the number of energy users in a single building as the second total per capita energy consumption corresponding to the single building.

[0098] The specific formulas for calculating per capita indicators (including the first per capita indicator and the second per capita indicator) and unit building area indicators (including the first unit building area indicator and the second unit building area indicator) are as follows:

[0099]

[0100] Among them, E A For per capita indicators; E P E is an indicator per unit building area. i Let A be the consumption of the i-th type of energy; n The number of energy users (i.e., the total number of people on campus or the number of energy users in a single building); P n The building area refers to the total campus area or the building area of ​​a single building.

[0101] S2020: Analyze the changing trends of total energy consumption, second consumption amount, second per capita index, and second unit building area index of a single building to obtain the second trend analysis results.

[0102] Specifically, after acquiring the total energy consumption, secondary energy consumption, secondary per capita index, and secondary unit building area index of each individual building within a preset period, the electronic equipment analyzes the changing trend of the total energy consumption of each individual building based on its historical total energy consumption, analyzes the changing trend of secondary energy consumption based on the historical consumption of various secondary energy sources, and calculates the year-on-year, month-on-month, and month-on-month changes in the total energy consumption, secondary energy consumption, secondary per capita index, and secondary unit building area index. Simultaneously, it can also analyze the changing trends of the secondary per capita total energy consumption and secondary unit area total energy consumption. This allows for a quantitative analysis of the changing trends of the total energy consumption, secondary energy consumption, secondary per capita index, and secondary unit building area index of individual buildings, thereby obtaining the secondary trend analysis results. Based on the secondary trend analysis results, the energy consumption pattern of each individual building is determined, and the rationality of energy consumption is judged.

[0103] S2030. Calculate the second proportion of various second energy sources based on the second consumption and the total energy consumption of a single building, and obtain the second energy consumption structure corresponding to each single building based on the second proportion.

[0104] Specifically, after determining the total energy consumption of a single building and the second consumption corresponding to the second energy source, the electronic equipment converts the second consumption of each second energy source into the amount of standard coal, and determines the ratio of this amount to the total energy consumption of the single building as the second proportion of each second energy source, thereby determining the energy consumption structure of the single building and obtaining the second energy consumption structure.

[0105] Furthermore, after obtaining the second energy-consuming structure, the electronic device can display the second energy-consuming structure in the form of a diagram.

[0106] S2040. Determine the electricity consumption per unit area and the heating energy consumption per unit area for each individual building, and compare the electricity consumption per unit area and the heating energy consumption per unit area with their corresponding second reference values ​​to obtain the second comparison result.

[0107] Specifically, the electronic equipment determines the electricity consumption per unit area and the heating energy consumption per unit area for a single building, and obtains the second reference values ​​corresponding to the electricity consumption per unit area and the heating energy consumption per unit area from a preset database. The electricity consumption per unit area and the heating energy consumption per unit area are compared with their corresponding second reference values ​​to obtain a second comparison result. The second comparison result is used to determine whether the energy consumption level of the single building exceeds the reference value. If it exceeds the second reference value, the target and direction of renovation are determined based on the proportion of the excess.

[0108] S2050, the total energy consumption of a single building, the second per capita index, the second unit building area index, the second trend analysis results, the second energy consumption structure, and the second comparison results are determined as the second energy consumption analysis results.

[0109] In this embodiment of the disclosure, the total energy consumption of the campus and individual buildings, the unit area index, the per capita index, the energy consumption trend, and the comparison results with reference values ​​can be analyzed to obtain the energy consumption analysis results of the campus and individual buildings, which further improves the comprehensiveness, rationality and accuracy of the energy consumption analysis.

[0110] In this embodiment of the disclosure, the energy consumption analysis results corresponding to renewable energy can be obtained by analyzing the utilization of renewable energy. Figure 3 This is a flowchart of a method for analyzing the utilization of renewable energy provided in an embodiment of this disclosure, such as... Figure 3 As shown, based on campus renewable energy information, the resource utilization of each renewable energy source is analyzed to obtain the third energy consumption analysis results corresponding to each renewable energy source. Specifically, this may include the following steps:

[0111] S310. Based on the basic information of the campus renewable energy system, analyze the component parameter performance of the campus renewable energy system to obtain the system performance analysis results.

[0112] Specifically, electronic devices can obtain basic information about campus renewable energy systems from campus renewable energy information in campus data. Based on the deployment scale, type and combination method of each renewable energy system, the component parameter performance of each renewable energy system is analyzed to determine the performance level of each renewable energy system, that is, to determine whether the performance of each renewable energy system meets the requirements. Then, based on whether the performance of each renewable energy system meets the requirements, it is determined whether to upgrade and optimize the system, such as expanding the installation area or updating the equipment.

[0113] S320. The trends of photovoltaic power generation, first heat generation and second heat generation are analyzed respectively to obtain the third trend analysis results.

[0114] Specifically, the electronic equipment determines the capacity trend and cyclical pattern of each renewable energy system based on the photovoltaic power generation of the photovoltaic power generation system, the first heating capacity of the solar thermal system, and the second heating capacity of the heat pump system within a preset period. At the same time, it determines whether there is any unreasonable capacity and calculates the year-on-year, month-on-month, and month-on-month comparisons of photovoltaic power generation, first heating capacity, and second heating capacity, respectively. Quantitative analysis is performed on the year-on-year, month-on-month, and month-on-month comparisons of photovoltaic power generation, first heating capacity, and second heating capacity, respectively, to obtain the analysis results and then determine the third trend analysis results.

[0115] S330. Calculate the total contribution rate of the campus renewable energy system based on photovoltaic power generation, first heating capacity and second heating capacity, as well as the system contribution rates of photovoltaic power generation system, solar thermal system and heat pump system respectively.

[0116] In this embodiment of the disclosure, the total contribution rate of the campus renewable energy system can be understood as the contribution rate of all campus renewable energy systems to campus energy consumption.

[0117] Specifically, the formula for calculating the total contribution rate of the campus renewable energy system is as follows:

[0118]

[0119] Among them, C R E represents the total contribution rate. PV E PT E HP These are photovoltaic power generation, primary heating capacity, and secondary heating capacity, respectively; E 校园 This represents the total energy consumption of the campus.

[0120] The specific formulas for calculating the system contribution rates of photovoltaic power generation systems, solar thermal systems, and heat pump systems are as follows:

[0121]

[0122] Among them, C PV C PT C HP The system contribution rates of photovoltaic power generation systems, solar thermal systems, and heat pump systems are respectively; E PV E PT E HP These are photovoltaic power generation, primary heating capacity, and secondary heating capacity, respectively; E 校园 This represents the total energy consumption of the campus.

[0123] S340. Calculate the first standard coal saving amount corresponding to the photovoltaic power generation system and the second standard coal saving amount corresponding to the solar thermal system based on the photovoltaic power generation and the first heat generation.

[0124] Specifically, the formulas for calculating the first and second standard coal savings are as follows:

[0125] C 标准煤量 =E 光伏 ×0.3

[0126]

[0127] Among them, C 标准煤量 The first standard coal saving (i.e., the standard coal saving of the photovoltaic power generation system); E 光伏 This refers to the self-consumption of electricity generated by the campus photovoltaic system; Q tr The second saving is the amount of standard coal (i.e., the saving of standard coal by the solar thermal system); Q njThis represents the annual heat gain of the solar thermal collector system (GJ). In this formula, 9.09 × 10⁻⁶ -3 That is, by using the standard coal calorific value q and the operating efficiency η when using traditional energy sources as heat sources. t The product of q and q is calculated, and the value of q is 29.307 × 10. -3 GJ / kgce,η t The value is 0.31.

[0128] S350. The system performance analysis results, total contribution rate, system contribution rate, first standard coal saving amount and second standard coal saving amount are determined as the third energy consumption analysis results.

[0129] In this embodiment of the disclosure, the utilization of renewable energy on campus can be analyzed to determine the application level of renewable energy systems on campus. If the application level is low, the area of ​​renewable energy system use can be expanded, thereby providing a basis for zero-carbon transformation schemes.

[0130] In this embodiment of the disclosure, the carbon emissions of the campus are calculated based on campus data, and the carbon emissions of the campus are further analyzed based on the calculation results.

[0131] Figure 4 This is a flowchart of a carbon emission accounting method provided in an embodiment of this disclosure, such as... Figure 4 As shown, identifying at least one type of carbon emission source in the campus data and calculating the carbon emissions corresponding to each type of carbon emission source on campus can specifically include the following steps:

[0132] S410. Identify at least one type of carbon emission source in the campus data, calculate the carbon emission amount corresponding to each type of carbon emission source in the campus, and determine the total carbon emission amount corresponding to each type of carbon emission source as the total carbon emission amount of the campus.

[0133] Specifically, the electronic device will identify at least one type of carbon emission source based on campus data, and calculate the carbon emissions corresponding to each type of carbon emission source based on the energy consumption and carbon emission factor.

[0134] Specifically, when the carbon emission source is direct carbon emission, the third consumption amount corresponding to at least one third energy source and the first carbon emission factor corresponding to each third energy source are determined; the first carbon emission amount is calculated based on the third consumption amount and the first carbon emission factor.

[0135] When the source of carbon emissions is direct carbon emissions, the third energy sources mainly include the consumption of natural gas, diesel, coal, oil, and other fuels.

[0136] The first carbon emission factor can be obtained in advance and stored in a preset database.

[0137] In this embodiment of the disclosure, the carbon emission factor calculation formula for fossil fuels, namely gas, diesel, coal, and oil, is as follows:

[0138]

[0139] Among them, EF m The carbon emission factor of fossil fuel m; NCV m The lower heating value of fossil fuel m is the average lower heating value; CC m The carbon content per unit calorific value of fossil fuel m; OF m denoted as m, representing the carbon oxidation rate of fossil fuel.

[0140] Specifically, when the carbon emission source is direct carbon emission, the electronic device obtains the third consumption amount of the third energy corresponding to the direct carbon emission and obtains the first carbon emission factor corresponding to the third energy. The sum of the products of the third consumption amounts of various third energy sources and their corresponding first carbon emission factors is determined as the first carbon emission amount.

[0141] When the carbon emission source is indirect carbon emission and is of the first emission type, determine the fourth consumption amount corresponding to at least one fourth energy source and the second carbon emission factor corresponding to each fourth energy source; calculate the second carbon emission amount based on the fourth consumption amount and the second carbon emission factor.

[0142] When the carbon emission source is indirect and is the primary emission type, the fourth energy source and its corresponding fourth consumption mainly include the campus's purchased electricity, purchased heat, water consumption, and waste disposal volume. Waste disposal volume can include wet waste, dry waste, research waste, and domestic wastewater discharge.

[0143] Specifically, when the carbon emission source is indirect carbon emission and is of the first emission type, the electronic device obtains the fourth consumption amount corresponding to the fourth energy source and the second carbon emission factor corresponding to each fourth energy source, and determines the second carbon emission amount by the sum of the products of the fourth consumption amount of each fourth energy source and the corresponding second carbon emission factor.

[0144] When the carbon emission source is indirect carbon emission and is a second type of emission, determine the fifth consumption amount corresponding to at least one fifth energy source and the third carbon emission factor corresponding to each fifth energy source; calculate the third carbon emission amount based on the fifth consumption amount and the third carbon emission factor.

[0145] When the carbon emission source is indirect carbon emission and is a second type of emission, the fifth energy consumption mainly includes the electricity consumption of off-campus research bases and the number of mileage traveled by faculty and staff.

[0146] Specifically, when the carbon emission source of an electronic device is indirect carbon emission and is a second type of emission, the device obtains the fifth consumption amount corresponding to the fifth energy source and the third carbon emission factor corresponding to each fifth energy source, and determines the third carbon emission amount by the sum of the products of the fifth consumption amount of each fifth energy source and its corresponding third carbon emission factor.

[0147] Furthermore, the sum of the first, second, and third carbon emissions is determined as the total carbon emissions corresponding to the campus.

[0148] S420. Obtain the carbon sequestration factor corresponding to each vegetation type; for each vegetation type, calculate the first product of the planting area and the carbon sequestration factor, and determine the first product as the target carbon offset amount corresponding to the vegetation type; determine the sum of the target carbon offset amounts corresponding to each vegetation type as the first carbon offset amount corresponding to the campus.

[0149] S430. Obtain the carbon trading volume, purchased green electricity volume, and the fourth carbon emission factor corresponding to the purchased green electricity volume contained in the campus data; calculate the second product of the purchased green electricity volume and the fourth carbon emission factor, and determine the second product and the carbon trading volume as the second carbon offset amount corresponding to the campus.

[0150] S440. Determine the third carbon offset amount corresponding to the campus based on the photovoltaic power generation of the photovoltaic power generation system included in the campus data.

[0151] Specifically, the electronic device acquires the carbon emission factor corresponding to the photovoltaic power generation, and determines the product of the photovoltaic power generation and the carbon emission factor corresponding to the photovoltaic power generation as the third carbon offset.

[0152] S450. The sum of the first carbon offset, the second carbon offset, and the third carbon offset is determined as the carbon offset corresponding to the campus.

[0153] S460. The difference between total carbon emissions and carbon offsets shall be determined as the actual carbon emissions corresponding to the campus.

[0154] In this embodiment of the disclosure, when performing carbon emission accounting, the carbon emission amount of each type of carbon emission source can be calculated by taking into account different types of carbon emission sources on campus. Furthermore, the carbon offset amount of the campus can be determined based on the campus vegetation conditions, the power generation of the photovoltaic power generation system, the carbon trading volume, and the purchased green electricity, thereby determining the actual carbon emission amount of the campus and improving the accuracy of carbon emission accounting.

[0155] After calculating carbon emissions, further analysis is conducted to determine the carbon emission analysis results.

[0156] Figure 5This is a flowchart of a carbon emission analysis method provided in an embodiment of this disclosure, such as... Figure 5 As shown, the carbon emissions situation on campus is analyzed based on carbon emissions, carbon offsets, and actual carbon emissions to obtain carbon emission analysis results. Specifically, this analysis may include the following steps:

[0157] S510. Calculate the carbon emissions per unit area of ​​the campus based on the total campus area and actual carbon emissions in the campus data.

[0158] Specifically, after obtaining the actual carbon emissions, the electronic devices determine the ratio of the actual carbon emissions to the total campus area as the carbon emissions per unit area of ​​the campus.

[0159] The specific calculation formula is as follows:

[0160]

[0161] Among them, C M Carbon emissions per unit area of ​​campus; C 校园 P1 represents the actual carbon emissions of the campus; P2 represents the total area of ​​the campus.

[0162] S520. Calculate the per capita carbon emissions on campus based on the total number of students and actual carbon emissions in the campus data.

[0163] Specifically, after obtaining the actual carbon emissions, electronic devices determine the ratio of the actual carbon emissions to the total number of students on campus as the per capita carbon emissions on campus.

[0164] The specific calculation formula is as follows:

[0165]

[0166] Among them, C P C represents the average carbon emissions per student on campus. 校园 A1 represents the actual carbon emissions of the campus; A2 represents the total number of students on campus.

[0167] S530 Calculate the campus carbon reduction rate and the target carbon emissions corresponding to various energy sources on campus. Based on the carbon emissions and target carbon emissions, calculate the carbon emission proportion corresponding to each energy source.

[0168] Specifically, the electronic equipment calculates the campus carbon reduction rate based on the actual carbon emissions of the campus within a preset period of the design year (i.e., the year in which the carbon emission analysis is conducted) and the actual carbon emissions within a preset period of the base year. Furthermore, it calculates the target carbon emissions for each energy source based on its consumption and corresponding carbon emission factor, determines the total carbon emissions based on the carbon emissions from each source, and then determines the carbon emission percentage for each energy source by calculating the target carbon emissions to the total campus carbon emissions.

[0169] The formula for calculating the campus carbon reduction rate is as follows:

[0170]

[0171] Among them, R CC To reduce carbon emissions on campus; C rd The actual carbon emissions within the preset period of the base year; C dd To determine the actual carbon emissions of the campus within a pre-set period this year.

[0172] S540. The changing trends of carbon emissions, carbon emissions per unit area of ​​the campus, and carbon emissions per capita on campus were analyzed, and the results of the fourth trend analysis were obtained.

[0173] Specifically, after acquiring the carbon emissions per unit area of ​​the campus and the carbon emissions per capita on campus, the electronic equipment calculates the year-on-year, month-on-month, and year-on-year comparisons of the carbon emissions, total carbon emissions, carbon emissions per unit area of ​​the campus, and carbon emissions per capita on campus. Based on the year-on-year, month-on-month, and year-on-year comparisons, it conducts trend analysis on carbon emissions and evaluation indicators to obtain the fourth trend analysis results. Then, based on the fourth trend analysis results, it judges the carbon emission level of the campus, thereby guiding the formulation of the campus zero-carbon transformation plan.

[0174] S550, determine the campus's carbon emission structure based on the first carbon emission, the second carbon emission, the third carbon emission, and the total carbon emission.

[0175] Specifically, the electronic equipment calculates the ratios of the first, second, and third carbon emissions to the total carbon emissions, and determines these ratios as the proportions of the first, second, and third carbon emissions in the total carbon emissions, thereby determining the carbon emission structure of the campus.

[0176] The calculation formula is as follows:

[0177]

[0178] Among them, R scope1 R scope2 R scope3 These represent the percentages of the first, second, and third carbon emissions, respectively (i.e., the percentages of different types of carbon emission sources in total carbon emissions); C scope1 C scope2 C scope3 These are the first, second, and third carbon emissions, respectively.

[0179] S560. Calculate the ecological carbon sink contribution rate of each type of vegetation based on the carbon sink factor and planting area of ​​each type of vegetation in the campus data.

[0180] Specifically, the formula for calculating the ecological carbon sink contribution rate of each type of vegetation is as follows:

[0181]

[0182] Among them, C 碳汇 A represents the ecological carbon sequestration contribution rate of vegetation type s; s The planting area of ​​type s vegetation; EF s , which represents the carbon sink factor for the s-th type of vegetation.

[0183] S570, calculate the carbon emission reduction contribution rate based on carbon emissions, second carbon offset, and third carbon offset.

[0184] Specifically, electronic devices calculate total carbon emissions based on carbon emissions, and determine the carbon emission reduction contribution rate based on the carbon offset corresponding to purchased green electricity in the second carbon offset and the carbon offset corresponding to renewable energy systems, namely the third carbon offset corresponding to photovoltaic power generation systems.

[0185] The formula for calculating the contribution rate of carbon emission reduction is as follows:

[0186]

[0187] Among them, C REC C1 represents the carbon emission reduction contribution rate; C2 represents the carbon offset corresponding to purchased green electricity in the second carbon offset; and C3 represents the carbon offset corresponding to renewable energy systems, i.e., the third carbon offset corresponding to photovoltaic power generation systems.

[0188] S580. The carbon emission analysis results are defined as the carbon emission per unit area of ​​the campus, the carbon emission per capita of the campus, the carbon emission ratio, the results of the fourth trend analysis, the carbon emission structure, the contribution rate of ecological carbon sinks, and the contribution rate of carbon emission reduction.

[0189] In this embodiment of the disclosure, carbon emission analysis can be performed from multiple aspects, such as carbon emissions per unit area of ​​campus, carbon emissions per capita on campus, carbon reduction rate of campus, carbon emission proportion of various energy sources, carbon emission change trend, carbon emission structure, ecological carbon sink contribution rate, and carbon emission reduction contribution rate, thereby improving the comprehensiveness and rationality of carbon emission analysis.

[0190] In this embodiment of the disclosure, the campus data includes the target province where the campus is located and the electricity transfer situation between the target province and other provinces. The data analysis method based on the zero-carbon transformation of the campus may further include: when there is an electricity transfer situation between the target province and other provinces, adjusting the carbon emission factor corresponding to the electricity consumption of the campus to obtain the adjusted carbon emission factor.

[0191] The adjustment formula for the carbon emission factor corresponding to electricity consumption is as follows:

[0192]

[0193] Among them, EF grid,i The adjusted carbon emission factor corresponding to electricity consumption; C grid,i Carbon emissions from thermal power generation in province / municipality (i); E grid,i For provincial and municipal thermal power generation; E imp,j,i Net electricity transferred from province / municipality J to province / municipality I; E grid,rec For provincial and municipal renewable energy power generation; EF grid,j The average carbon emission factor for electricity in province / city J.

[0194] Furthermore, calculating the target carbon emissions corresponding to various energy sources on campus can include: calculating the target carbon emissions corresponding to the campus's electricity consumption based on the adjusted carbon emission factor.

[0195] In this embodiment of the disclosure, by adjusting the carbon emission factor of electricity consumption according to the actual situation, the accuracy of the calculated target carbon emissions is improved.

[0196] In this embodiment, based on the results of energy resource analysis, and comprehensively considering the changing trends, evaluation indicators, energy consumption structure, and comparative results of total energy consumption and various energy resources, the system analyzes whether the campus energy consumption structure is reasonable, whether the campus energy consumption level is normal, and whether the campus has energy-saving potential. Based on the results of carbon emission accounting and analysis, and comprehensively considering the changing trends, carbon emission structure, and evaluation indicators, the system analyzes whether the campus carbon emission structure is reasonable, whether there are any abnormal or excessive carbon emissions, analyzes emission reduction potential, identifies emission reduction targets, and formulates emission reduction plans. The system analyzes the campus renewable energy system and its energy production capacity, and analyzes whether system upgrades and scale expansion are possible. The system analyzes the collected basic information on the campus and buildings to determine the potential for optimization and upgrading of building maintenance structures and equipment systems, and to determine the potential for campus renewable energy carbon reduction and ecological carbon reduction. Based on the above analysis and the specific circumstances of the campus, a reasonable and targeted campus zero-carbon transformation plan is formulated.

[0197] Figure 6 This is a schematic diagram of the structure of a data analysis device based on zero-carbon transformation of a campus, provided in an embodiment of this disclosure.

[0198] In this embodiment, the data analysis device based on zero-carbon transformation of the campus can be installed within an electronic device, and is understood as a functional module within the aforementioned electronic device. Specifically, the electronic device can be a server or a terminal, wherein the terminal specifically includes mobile phones, computers, or tablet computers, etc., without limitation.

[0199] like Figure 6As shown, the data analysis device 600 based on campus zero-carbon transformation may include an information acquisition module 610, a first energy consumption analysis module 620, a second energy consumption analysis module 630, a carbon emission calculation module 640, an actual carbon emission calculation module 650, a carbon emission analysis module 660, and an analysis result determination module 670.

[0200] The information acquisition module 610 can be used to acquire campus data, including basic campus information, campus landscape and ecological information, basic campus building information, campus energy information, campus renewable energy information, and campus target carbon emission data.

[0201] The first energy consumption analysis module 620 can be used to analyze the energy usage of the campus and each individual building within a preset period based on campus data, and obtain the first energy consumption analysis result for the campus and the second energy consumption analysis result for each individual building.

[0202] The second energy consumption analysis module 630 can be used to analyze the resource utilization of each renewable energy source based on campus renewable energy information, and obtain the third energy consumption analysis results corresponding to each renewable energy source.

[0203] The carbon emission calculation module 640 can be used to determine at least one type of carbon emission source in the campus data, calculate the carbon emission amount corresponding to each type of carbon emission source in the campus, and calculate the carbon offset amount corresponding to the campus based on the campus data.

[0204] The Actual Carbon Emissions Calculation Module 650 can be used to determine the actual carbon emissions of a campus based on carbon emissions and carbon offsets.

[0205] The carbon emission analysis module 660 can be used to analyze the carbon emission situation on campus based on carbon emission amount, carbon offset amount and actual carbon emission amount, and obtain carbon emission analysis results.

[0206] The analysis result determination module 670 can be used to determine the first energy consumption analysis result, the second energy consumption analysis result, the third energy consumption analysis result, and the carbon emission analysis result as the data analysis results for the campus zero-carbon transformation.

[0207] In this embodiment, campus data can be acquired, including basic campus information, campus landscape and ecological information, basic campus building information, campus energy information, campus renewable energy information, and campus target carbon emission data. Based on the campus data, the energy usage of the campus and each individual building within a preset period is analyzed to obtain a first energy consumption analysis result for the campus and a second energy consumption analysis result for each individual building. Based on the campus renewable energy information, the resource utilization of each renewable energy source is analyzed to obtain a third energy consumption analysis result for each renewable energy source. At least one type of carbon emission source corresponding to the campus data is determined, and the carbon emission amount corresponding to each type of carbon emission source in the campus is calculated. The process involves calculating the carbon offset corresponding to the campus; determining the actual carbon emissions of the campus based on carbon emissions and carbon offset; analyzing the campus's carbon emissions based on carbon emissions, carbon offset, and actual carbon emissions to obtain carbon emission analysis results; and using the first, second, and third energy consumption analysis results, along with the carbon emission analysis results, as the data analysis results for the campus zero-carbon transformation. This allows for a comprehensive integration of energy consumption and carbon emission analysis results to determine the objects, objectives, and effects of zero-carbon transformation, thereby increasing the richness and sufficiency of data during the campus zero-carbon transformation process. This provides accurate and robust support for developing a campus zero-carbon transformation plan, ultimately enhancing the rationality of the plan.

[0208] In some embodiments of this disclosure, the basic campus information includes the total number of students and the total area of ​​the campus; the basic campus building information includes the building area and the number of energy users of each individual building; and the campus energy information includes the first consumption of various first energy sources corresponding to the campus and the second consumption of various second energy sources corresponding to each individual building.

[0209] In some embodiments of this disclosure, the first energy consumption analysis module 620 can be specifically used to obtain the first standard coal equivalent coefficients corresponding to various first energy sources;

[0210] Calculate the total energy consumption of the campus within the preset period based on the first standard coal equivalent coefficient and the first consumption amount;

[0211] Calculate the first per capita indicator and the first unit building area indicator for the campus based on the first consumption, the total campus area, and the total number of campus residents;

[0212] The changing trends of total campus energy consumption, primary energy consumption, primary per capita indicator, and primary unit building area indicator were analyzed to obtain the primary trend analysis results;

[0213] Calculate the first proportion of each first energy source based on the first consumption and the total energy consumption of the campus, and obtain the first energy consumption structure of the campus based on the first proportion.

[0214] Based on the total energy consumption of the campus, calculate the first per capita total energy consumption, the first unit area total energy consumption, and the per capita water consumption of the campus. Compare the first per capita total energy consumption, the first unit area total energy consumption, and the per capita water consumption with their corresponding first reference values ​​to obtain the first comparison result.

[0215] The total energy consumption of the campus, the first per capita indicator, the first unit building area indicator, the first trend analysis result, the first energy consumption structure, and the first comparison result are determined as the first energy consumption analysis result.

[0216] In some embodiments of this disclosure, the first energy consumption analysis module 620 may also be specifically used to obtain the second standard coal equivalent coefficients corresponding to various second energy sources;

[0217] The total energy consumption of each individual building within the preset period is calculated based on the second standard coal equivalent coefficient and the second consumption amount.

[0218] The second per capita index and the second unit building area index are calculated based on the second consumption, the building area of ​​the individual building and the number of energy users. The second per capita total energy consumption and the second unit area total energy consumption of the individual building are also calculated based on the total energy consumption of the individual building.

[0219] The changing trends of total energy consumption, secondary energy consumption, secondary per capita index, and secondary unit building area index of a single building are analyzed to obtain the results of the secondary trend analysis.

[0220] The second proportion of various second energy sources is calculated based on the second consumption and the total energy consumption of a single building, and the second energy consumption structure corresponding to each single building is obtained based on the second proportion.

[0221] Determine the electricity consumption per unit area and the heating energy consumption per unit area for each individual building, and compare the electricity consumption per unit area and the heating energy consumption per unit area with their corresponding second reference values ​​to obtain the second comparison result;

[0222] The total energy consumption of a single building, the second per capita index, the second unit building area index, the second trend analysis results, the second energy consumption structure, and the second comparison results are determined as the second energy consumption analysis results.

[0223] In some embodiments of this disclosure, the campus renewable energy information includes basic information about the campus renewable energy system and the capacity of the campus renewable energy system within the preset period. The campus renewable energy system includes a photovoltaic power generation system, a solar thermal system, and a heat pump system. The capacity includes the photovoltaic power generation of the photovoltaic power generation system, the first heating capacity of the solar thermal system, and the second heating capacity of the heat pump system within the preset period.

[0224] The second energy consumption analysis module 630 can be specifically used to analyze the component parameter performance of the campus renewable energy system based on the basic information of the campus renewable energy system, and obtain the system performance analysis results;

[0225] The trends of photovoltaic power generation, first heating capacity, and second heating capacity were analyzed separately to obtain the results of the third trend analysis.

[0226] The total contribution rate of the campus renewable energy system is calculated based on photovoltaic power generation, first heating capacity and second heating capacity, as well as the system contribution rates of photovoltaic power generation system, solar thermal system and heat pump system respectively.

[0227] Calculate the first standard coal saving amount corresponding to the photovoltaic power generation system and the second standard coal saving amount corresponding to the solar thermal system based on the photovoltaic power generation and the first heat output.

[0228] The system performance analysis results, total contribution rate, system contribution rate, first standard coal saving amount and second standard coal saving amount are determined as the third energy consumption analysis results.

[0229] In some embodiments of this disclosure, the carbon emission calculation module 640 can be specifically used to determine the third consumption amount corresponding to at least one third energy source and the first carbon emission factor corresponding to each third energy source when the carbon emission source is direct carbon emission.

[0230] The first carbon emission is calculated based on the third consumption amount and the first carbon emission factor;

[0231] When the carbon emission source is indirect carbon emission and is of the first emission type, determine the fourth consumption amount corresponding to at least one fourth energy source and the second carbon emission factor corresponding to each fourth energy source.

[0232] The second carbon emission is calculated based on the fourth consumption and the second carbon emission factor;

[0233] When the carbon emission source is indirect carbon emission and is a second type of emission, determine the fifth consumption amount corresponding to at least one fifth energy source and the third carbon emission factor corresponding to each fifth energy source.

[0234] The third carbon emission is calculated based on the fifth consumption and the third carbon emission factor.

[0235] The sum of the first, second, and third carbon emissions is determined as the total carbon emissions for the campus.

[0236] In some embodiments of this disclosure, campus landscape ecological information includes the types of vegetation planted on campus and the planting area corresponding to each type of vegetation.

[0237] The carbon emission calculation module 640 can also be used to obtain the carbon sequestration factor corresponding to each vegetation type.

[0238] For each vegetation type, calculate the first product of the planting area and the carbon sequestration factor, and determine the first product as the target carbon offset amount corresponding to the vegetation type.

[0239] The sum of the target carbon offsets for each vegetation type is determined as the first carbon offset for the campus.

[0240] Obtain the carbon trading volume, purchased green electricity volume, and the fourth carbon emission factor corresponding to the purchased green electricity volume contained in the campus data;

[0241] Calculate the second product of purchased green electricity and the fourth carbon emission factor, and determine the second product and carbon trading volume as the second carbon offset amount corresponding to the campus.

[0242] The third carbon offset amount for the campus is determined based on the photovoltaic power generation of the photovoltaic power generation system included in the campus data;

[0243] The sum of the first carbon offset, the second carbon offset, and the third carbon offset is determined as the carbon offset corresponding to the campus.

[0244] In some embodiments of this disclosure, the carbon emission analysis module 660 can be specifically used to calculate the carbon emission per unit area of ​​the campus based on the total campus area and the actual carbon emission in the campus data;

[0245] Calculate the per capita carbon emissions on campus based on the total number of students and actual carbon emissions in the campus data.

[0246] Calculate the carbon reduction rate of the campus and the target carbon emissions corresponding to various energy sources on campus. Based on the carbon emissions and the target carbon emissions, calculate the carbon emission proportion corresponding to each energy source.

[0247] The changing trends of carbon emissions, carbon emissions per unit area of ​​campus, and carbon emissions per capita on campus were analyzed, and the results of the fourth trend analysis were obtained.

[0248] The carbon emission structure of the campus is determined based on the first carbon emission, the second carbon emission, the third carbon emission, and the total carbon emission.

[0249] The ecological carbon sink contribution rate of each type of vegetation is calculated based on the carbon sink factor and planting area of ​​each type of vegetation in the campus data.

[0250] The carbon emission reduction contribution rate is calculated based on carbon emissions, the second carbon offset, and the third carbon offset;

[0251] The carbon emission analysis results were defined as the carbon emissions per unit area of ​​the campus, the carbon emissions per capita on campus, the carbon emission ratio, the results of the fourth trend analysis, the carbon emission structure, the contribution rate of ecological carbon sinks, and the contribution rate of carbon emission reduction.

[0252] In some embodiments of this disclosure, the campus data includes the target province where the campus is located and the power transfer information between the target province and other provinces.

[0253] The data analysis device 600 based on zero-carbon transformation of the campus may also include a carbon emission factor adjustment module.

[0254] The carbon emission factor adjustment module can be used to adjust the carbon emission factor corresponding to the electricity consumption of the campus when there is an electricity transfer between the target province and other provinces, so as to obtain the adjusted carbon emission factor.

[0255] The carbon emission analysis module 660 can also be used to calculate the target carbon emissions corresponding to the campus's electricity consumption based on the adjusted carbon emission factor.

[0256] It should be noted that, Figure 6 The data analysis device 600 based on the zero-carbon transformation of the campus shown can execute the various steps in the above method embodiments and realize the various processes and effects in the above method embodiments, which will not be elaborated here.

[0257] Figure 7 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this disclosure.

[0258] In this embodiment of the disclosure, Figure 7 The electronic devices shown can be servers or terminals, and terminals specifically include mobile phones, computers, or tablets, etc., without limitation.

[0259] like Figure 7 As shown, the electronic device may include a processor 710 and a memory 720 storing computer program instructions.

[0260] Specifically, the processor 710 may include a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits that can be configured to implement the embodiments of this disclosure.

[0261] Memory 720 may include mass storage for information or instructions. For example, and not limitingly, memory 720 may include a hard disk drive (HDD), floppy disk drive, flash memory, optical disk, magneto-optical disk, magnetic tape, or Universal Serial Bus (USB) drive, or a combination of two or more of these. Where appropriate, memory 720 may include removable or non-removable (or fixed) media. Where appropriate, memory 720 may be internal or external to the integrated gateway device. In a particular embodiment, memory 720 is non-volatile solid-state memory. In a particular embodiment, memory 720 includes read-only memory (ROM). Where appropriate, the ROM may be a mask-programmed ROM, a programmable ROM (PROM), an erasable PROM (Electrically Programmable ROM, EPROM), an electrically erasable programmable PROM (EEPROM), an electrically alterable ROM (EAROM), or flash memory, or a combination of two or more of these.

[0262] The processor 710 reads and executes computer program instructions stored in the memory 720 to perform the steps of the data analysis method based on zero-carbon transformation of campuses provided in this embodiment of the disclosure.

[0263] In one example, the electronic device may also include a transceiver 730 and a bus 740. Wherein, as... Figure 7 As shown, the processor 710, memory 720 and transceiver 730 are connected via bus 740 and communicate with each other.

[0264] Bus 740 may include hardware, software, or both. For example, and not limitingly, the bus may include an Accelerated Graphics Port (AGP) or other graphics bus, an Extended Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a Hyper Transport (HT) interconnect, an Industrial Standard Architecture (ISA) bus, an Infinite Bandwidth Interconnect, a Low Pin Count (LPC) bus, a memory bus, a MicroChannel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a Video Electronics Standards Association Local Bus (VLB) bus, or other suitable buses, or a combination of two or more of these. Where appropriate, bus 740 may include one or more buses.

[0265] This disclosure also provides a computer-readable storage medium that can store a computer program. When the computer program is executed by a processor, the processor enables the processor to implement the data analysis method based on zero-carbon transformation of the campus provided in this disclosure.

[0266] The aforementioned storage medium may, for example, include a memory 720 containing computer program instructions, which can be executed by a processor 710 of an electronic device to complete the data analysis method based on campus zero-carbon transformation provided in this embodiment. Optionally, the storage medium may be a non-transitory computer-readable storage medium, such as a ROM, random access memory (RAM), compact disc-only memory (CD-ROM), magnetic tape, floppy disk, and optical data storage device.

[0267] The above description is merely a specific embodiment of this disclosure, enabling those skilled in the art to understand or implement it. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this disclosure. Therefore, this disclosure is not to be limited to the embodiments described herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A data analysis method based on zero-carbon transformation of campuses, characterized in that, include: Acquire campus data, which includes basic campus information, campus landscape and ecological information, basic campus building information, campus energy information, campus renewable energy information, and campus target carbon emission data; Based on the campus data, the energy usage of the campus and each individual building within a preset period is analyzed to obtain the first energy consumption analysis result for the campus and the second energy consumption analysis result for each individual building. Based on the campus renewable energy information, the resource utilization of each renewable energy source is analyzed to obtain the third energy consumption analysis results for each renewable energy source. Identify at least one type of carbon emission source in the campus data, calculate the carbon emission amount corresponding to each type of carbon emission source in the campus, and calculate the carbon offset amount corresponding to the campus based on the campus data; The actual carbon emissions corresponding to the campus are determined based on the carbon emissions and the carbon offset. The carbon emissions of the campus are analyzed based on the carbon emissions, the carbon offset, and the actual carbon emissions to obtain carbon emission analysis results. The first energy consumption analysis result, the second energy consumption analysis result, the third energy consumption analysis result, and the carbon emission analysis result are determined as the data analysis results of the campus zero-carbon transformation. The basic campus information includes the total number of students and the total area of ​​the campus. The basic campus building information includes the building area and the number of energy users of each individual building. The campus energy information includes the first consumption of various primary energy sources corresponding to the campus and the second consumption of various secondary energy sources corresponding to each individual building. Based on the campus data, the energy usage of the campus within a preset period is analyzed to obtain the first energy consumption analysis result for the campus, including: Obtain the first standard coal equivalent coefficient for each type of primary energy source; Calculate the total energy consumption of the campus within the preset period based on the first standard coal equivalent coefficient and the first consumption amount; Calculate the first per capita indicator and the first unit building area indicator for the campus based on the first consumption amount, the total campus area and the total number of campus residents; The changing trends of the total campus energy consumption, the first consumption amount, the first per capita index, and the first unit building area index are analyzed to obtain the first trend analysis results. Based on the first consumption and the total energy consumption of the campus, the first proportion of various first energy sources is calculated, and the first energy consumption structure of the campus is obtained based on the first proportion. Based on the total energy consumption of the campus, calculate the first per capita total energy consumption, the first unit area total energy consumption, and the per capita water consumption of the campus. Compare the first per capita total energy consumption, the first unit area total energy consumption, and the per capita water consumption with their corresponding first reference values ​​to obtain the first comparison result. The total campus energy consumption, the first per capita index, the first unit building area index, the first trend analysis result, the first energy consumption structure, and the first comparison result are determined as the first energy consumption analysis result. Based on the campus data, the energy usage of each individual building within a preset period is analyzed to obtain a second energy consumption analysis result for each individual building, including: Obtain the corresponding standard coal equivalent coefficients for various secondary energy sources; Calculate the total energy consumption of each individual building within the preset period based on the second standard coal equivalent coefficient and the second consumption amount; Based on the second consumption amount, the building area of ​​the single building and the number of energy users, calculate the second per capita index and the second unit building area index corresponding to the single building, and calculate the second per capita total energy consumption and the second unit area total energy consumption corresponding to the single building based on the total energy consumption of the single building. The changing trends of the total energy consumption of the single building, the second consumption amount, the second per capita index, and the second unit building area index are analyzed to obtain the second trend analysis results. Based on the second consumption amount and the total energy consumption of the individual building, the second proportion of various second energy sources is calculated, and the second energy consumption structure corresponding to each individual building is obtained based on the second proportion. Determine the electricity consumption per unit area and the heating energy consumption per unit area corresponding to the single building, and compare the electricity consumption per unit area and the heating energy consumption per unit area with their corresponding second reference values ​​to obtain a second comparison result; The total energy consumption of the single building, the second per capita index, the second unit building area index, the second trend analysis result, the second energy consumption structure, and the second comparison result are determined as the second energy consumption analysis result.

2. The method according to claim 1, characterized in that, The campus renewable energy information includes basic information about the campus renewable energy system and the capacity of the campus renewable energy system within the preset period. The campus renewable energy system includes a photovoltaic power generation system, a solar thermal system, and a heat pump system. The capacity includes the photovoltaic power generation of the photovoltaic power generation system, the first heating capacity of the solar thermal system, and the second heating capacity of the heat pump system within the preset period. The analysis of resource utilization for each renewable energy source based on the campus renewable energy information yields a third energy consumption analysis result for each renewable energy source, including: Based on the basic information of the campus renewable energy system, the component parameter performance of the campus renewable energy system is analyzed to obtain the system performance analysis results; The trends of photovoltaic power generation, the first heating capacity, and the second heating capacity are analyzed respectively to obtain the third trend analysis results; The total contribution rate of the campus renewable energy system is calculated based on the photovoltaic power generation, the first heating capacity, and the second heating capacity, as well as the system contribution rates corresponding to the photovoltaic power generation system, the solar thermal system, and the heat pump system, respectively. Calculate the first standard coal saving amount corresponding to the photovoltaic power generation system and the second standard coal saving amount corresponding to the solar thermal system based on the photovoltaic power generation and the first heat generation; The system performance analysis results, the total contribution rate, the system contribution rate, the first amount of standard coal saved, and the second amount of standard coal saved are determined as the third energy consumption analysis results.

3. The method according to claim 1, characterized in that, The step of determining at least one type of carbon emission source in the campus data and calculating the carbon emissions corresponding to each type of carbon emission source in the campus includes: When the carbon emission source is direct carbon emission, determine the third consumption amount corresponding to at least one third energy source and the first carbon emission factor corresponding to each third energy source. The first carbon emission is calculated based on the third consumption amount and the first carbon emission factor. When the carbon emission source is indirect carbon emission and is of the first emission type, determine the fourth consumption amount corresponding to at least one fourth energy source and the second carbon emission factor corresponding to each fourth energy source. The second carbon emission is calculated based on the fourth consumption amount and the second carbon emission factor; When the carbon emission source is indirect carbon emission and is a second type of emission, determine the fifth consumption amount corresponding to at least one fifth energy source and the third carbon emission factor corresponding to each fifth energy source. The third carbon emission is calculated based on the fifth consumption amount and the third carbon emission factor. The sum of the first carbon emissions, the second carbon emissions, and the third carbon emissions is determined as the total carbon emissions corresponding to the campus.

4. The method according to claim 3, characterized in that, The campus landscape ecological information includes the types of vegetation planted on campus and the corresponding planting area for each type of vegetation; The calculation of the carbon offset corresponding to the campus based on the campus data includes: Obtain the carbon sequestration factor corresponding to each vegetation type; For each vegetation type, calculate the first product of the planting area and the carbon sequestration factor, and determine the first product as the target carbon offset amount corresponding to the vegetation type; The sum of the target carbon offsets corresponding to each vegetation type is determined as the first carbon offset for the campus. Obtain the carbon trading volume, purchased green electricity volume, and the fourth carbon emission factor corresponding to the purchased green electricity volume contained in the campus data; Calculate the second product of the purchased green electricity and the fourth carbon emission factor, and determine the second product and the carbon trading volume as the second carbon offset amount corresponding to the campus; The third carbon offset amount corresponding to the campus is determined based on the photovoltaic power generation of the photovoltaic power generation system contained in the campus data; The sum of the first carbon offset, the second carbon offset, and the third carbon offset is determined as the carbon offset corresponding to the campus.

5. The method according to claim 4, characterized in that, The analysis of the campus's carbon emissions based on the carbon emissions, the carbon offset, and the actual carbon emissions yields carbon emission analysis results, including: Calculate the carbon emissions per unit area of ​​the campus based on the total campus area in the campus data and the actual carbon emissions; Calculate the per capita carbon emissions on campus based on the total number of students on campus and the actual carbon emissions in the campus data. Calculate the carbon reduction rate of the campus and the target carbon emissions corresponding to various energy sources in the campus. Based on the carbon emissions and the target carbon emissions, calculate the carbon emission proportion corresponding to each energy source. The changing trends of the carbon emissions, the carbon emissions per unit area of ​​the campus, and the carbon emissions per capita on campus were analyzed to obtain the fourth trend analysis results; The carbon emission structure of the campus is determined based on the first carbon emission, the second carbon emission, the third carbon emission, and the total carbon emission. Based on the carbon sink factor and planting area of ​​each vegetation type in the campus data, the ecological carbon sink contribution rate of each vegetation type is calculated. The carbon emission reduction contribution rate is calculated based on the carbon emissions, the second carbon offset, and the third carbon offset; The carbon emission analysis results are defined as the carbon emission per unit area of ​​the campus, the carbon emission per capita of the campus, the carbon emission ratio, the fourth trend analysis results, the carbon emission structure, the ecological carbon sink contribution rate, and the carbon emission reduction contribution rate.

6. The method according to claim 5, characterized in that, The campus data includes the target province where the campus is located and the power transfer information between the target province and other provinces. The method also includes: When there is an electricity transfer between the target province and the other provinces, the carbon emission factor corresponding to the electricity consumption of the campus is adjusted to obtain the adjusted carbon emission factor. The calculation of the target carbon emissions corresponding to various energy sources on campus includes: The target carbon emissions corresponding to the campus's electricity consumption are calculated based on the adjusted carbon emission factor.

7. A data analysis device based on zero-carbon transformation of campuses, characterized in that, include: The information acquisition module is used to acquire campus data, which includes basic campus information, campus landscape and ecological information, basic campus building information, campus energy information, campus renewable energy information, and campus target carbon emission data. Among them, the basic campus information includes the total number of students and the total campus area; the basic campus building information includes the building area and the number of energy users of each individual building; and the campus energy information includes the first consumption of various primary energy sources corresponding to the campus and the second consumption of various secondary energy sources corresponding to each individual building. The first energy consumption analysis module is used to analyze the energy usage of the campus and each individual building within a preset period based on the campus data, and to obtain the first energy consumption analysis result for the campus and the second energy consumption analysis result for each individual building. The second energy consumption analysis module is used to analyze the resource utilization of each renewable energy source based on the campus renewable energy information, and obtain the third energy consumption analysis result corresponding to each renewable energy source. A carbon emission calculation module is used to determine at least one type of carbon emission source in the campus data, calculate the carbon emission amount corresponding to each type of carbon emission source in the campus, and calculate the carbon offset amount corresponding to the campus based on the campus data; The actual carbon emissions calculation module is used to determine the actual carbon emissions corresponding to the campus based on the carbon emissions and the carbon offset. The carbon emission analysis module is used to analyze the carbon emission situation of the campus based on the carbon emission amount, the carbon offset amount, and the actual carbon emission amount, and obtain the carbon emission analysis results. The analysis result determination module is used to determine the first energy consumption analysis result, the second energy consumption analysis result, the third energy consumption analysis result, and the carbon emission analysis result as the data analysis results of the campus zero-carbon transformation; The first energy consumption analysis module is specifically used to obtain the first standard coal equivalent coefficient corresponding to each of the first energy sources; calculate the total energy consumption of the campus within the preset period based on the first standard coal equivalent coefficient and the first consumption amount; calculate the first per capita index and the first unit building area index corresponding to the campus based on the first consumption amount, the total area of ​​the campus, and the total number of people on campus; analyze the changing trends of the total energy consumption of the campus, the first consumption amount, the first per capita index, and the first unit building area index to obtain a first trend analysis result; calculate the first proportion of each of the first energy sources based on the first consumption amount and the total energy consumption of the campus, and obtain the first energy consumption structure corresponding to the campus based on the first proportion; calculate the first per capita total energy consumption, the first unit area total energy consumption, and the per capita water consumption corresponding to the campus based on the total energy consumption of the campus, compare the first per capita total energy consumption, the first unit area total energy consumption, and the per capita water consumption with their corresponding first reference values ​​to obtain a first comparison result; and determine the total energy consumption of the campus, the first per capita index, the first unit building area index, the first trend analysis result, the first energy consumption structure, and the first comparison result as the first energy consumption analysis result. Obtain the second standard coal equivalent coefficients corresponding to various secondary energy sources; calculate the total energy consumption of each individual building within the preset period based on the second standard coal equivalent coefficients and the second consumption amount; calculate the second per capita index and the second unit building area index corresponding to the individual building based on the second consumption amount, the building area of ​​the individual building, and the number of energy users, and calculate the second per capita total energy consumption and the second unit area total energy consumption corresponding to the individual building based on the total energy consumption of the individual building; analyze the changing trends of the total energy consumption of the individual building, the second consumption amount, the second per capita index, and the second unit building area index to obtain the second trend analysis result; calculate the second proportion of various secondary energy sources based on the second consumption amount and the total energy consumption of the individual building, and obtain the second energy consumption structure corresponding to each individual building based on the second proportion; determine the electricity consumption per unit area and the heating energy consumption per unit area corresponding to the individual building, and compare the electricity consumption per unit area and the heating energy consumption per unit area with their corresponding second reference values ​​to obtain the second comparison result; determine the total energy consumption of the individual building, the second per capita index, the second unit building area index, the second trend analysis result, the second energy consumption structure, and the second comparison result as the second energy consumption analysis result.

8. An electronic device, characterized in that, include: processor; Memory, used to store executable instructions; The processor is configured to read the executable instructions from the memory and execute the executable instructions to implement the data analysis method based on zero-carbon transformation of the campus as described in any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The storage medium stores a computer program, which, when executed by a processor, causes the processor to implement the data analysis method based on zero-carbon transformation of the campus as described in any one of claims 1-6.

Citation Information

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