Real-time electric power carbon emission metering method based on enterprise electric power carbon emission metering platform

Abstract

The invention discloses a real-time electric power carbon emission metering method based on an enterprise electric power carbon emission metering platform, and the method comprises the steps: calculating the real-time electric power carbon emission of an electric terminal from the carbon emission of electric power flowing into a power plant and a province; comprising the steps of power plant direct carbon emission calculation, power plant direct carbon emission factor calculation, inter-provincial inflow power indirect carbon emission calculation, node carbon emission factor calculation, regional carbon emission factor calculation and terminal power utilization carbon emission. Real-time carbon emission measurement is carried out on the power utilization terminal, and more powerful underlying data is provided for government carbon supervision and enterprise carbon emission reduction.

Description

Technical Field

[0001] The present invention relates to the field of carbon metering technology, and in particular to a real-time electricity carbon emission metering method based on an enterprise electricity carbon emission metering platform. Background Art

[0002] A unified and standardized carbon emissions measurement and accounting system is the basis for carrying out various work to address climate change, and plays an important leading and supporting role. In August 2022, the National Development and Reform Commission, the National Bureau of Statistics and the Ministry of Ecology and Environment jointly issued an implementation plan on accelerating the construction of a unified and standardized carbon emission statistical accounting system, proposing that "we must strengthen the application of new methodologies such as dynamic carbon emission factors in the compilation of national greenhouse gas inventories, and promote accounting methods with good applicability and high maturity to gradually form national standards." In October 2022, the State Administration for Market Regulation, together with relevant departments, issued the "Implementation Plan for Establishing and Improving the Carbon Peak and Carbon Neutrality Standard Measurement System". The plan requires: By 2025, the carbon peak and carbon neutrality standard measurement system will be basically established, and carbon-related measurement benchmarks and measurement standard capabilities will steadily improve. Important breakthroughs will be made in carbon measurement technologies in key areas. The carbon emission measurement capabilities of key emission units will be basically available, the measurement service system will continue to improve, carbon emission technologies and management standards will be basically sound, and carbon accounting and verification standards for major industries will be fully covered; by 2030, the carbon peak and carbon neutrality standard measurement system will be more sound, carbon-related measurement technologies and management levels will be significantly improved, the carbon measurement service market will develop in a healthy and orderly manner, and the basic support and leading role of measurement will be more prominent. The transfer of electric energy in the power system is also accompanied by the transfer of carbon emission responsibilities. The essence of indirect carbon emissions in the power system is the carbon emission responsibility implicit in electric energy. Accurate, fair and comprehensive indirect carbon emission accounting is of great significance for clarifying the carbon emission responsibilities of various entities in the power system and carrying out total carbon emission control.

[0003] At present, my country mostly adopts the average emission factor method of the power grid in the accounting of indirect carbon emissions of electricity for power terminals, that is, a unified carbon emission factor is used to calculate the indirect carbon emissions of electricity for power terminals. The advantages of this method are simple accounting, easy to understand, and convenient to apply, but in actual application, the unified carbon emission factor has obvious lag, and due to the rapid development of clean energy power generation, there are large differences in the carbon emission factors of electricity in different micro-regions, but the average emission factor method of the power grid does not reflect this difference, resulting in insufficient accuracy in the accounting of carbon emissions of terminal electricity in different micro-regions, and unclear division of terminal carbon emission responsibilities, making it difficult to guide power terminals, especially power users, to make major breakthroughs in carbon emission evaluation, carbon emission supervision, carbon footprint, carbon tariffs and other dual carbon fields. Summary of the invention

[0004] The purpose of the present invention is to solve the shortcomings of the prior art and provide a real-time electricity carbon emission metering method based on the enterprise electricity carbon emission metering platform. This method measures the carbon emissions of electricity terminals in real time through the real link of power plant-transmission line-substation-transmission line-electricity terminal, providing more powerful underlying data for government carbon supervision and corporate carbon emission reduction.

[0005] In order to solve the above technical problems, the present invention provides a real-time electricity carbon emission measurement method based on an enterprise electricity carbon emission measurement platform.

[0006] The real-time carbon emissions of electricity at the electricity consumption terminal are calculated starting from the carbon emissions of power plants and inter-provincial electricity inflows, including: calculation of direct carbon emissions from power plants, calculation of direct carbon emission factors from power plants, calculation of indirect carbon emissions from inter-provincial electricity inflows, calculation of node carbon emission factors, calculation of regional carbon emission factors, and carbon emissions from terminal electricity consumption, among which:

[0007] A. Calculation of direct carbon emissions from power plants

[0008] As a direct source of carbon emissions, the generator set should first clarify the carbon emissions on the power generation side, and then build a carbon measurement model in combination with the power system flow; the carbon emissions generated by the generator set all come from the fossil fuels consumed by the power plant. According to the relationship between the carbon emission density generated by different energy types of fossil fuels and the fuel quality, we can get:

[0009]

[0010] In the formula,

[0011] E i，t : Carbon emissions of power plant i in period t;

[0012] M i，m，t : The mass of fossil fuel m burned by power plant i in time period t;

[0013] The carbon dioxide emission factor produced when a unit of fossil fuel m is burned;

[0014] B. Calculation of Carbon Emission Factors of Power Plants

[0015] The carbon emission factor of a generator set is equal to the ratio of the carbon emission of the generator set to the power and the measurement time, that is:

[0016]

[0017] In the formula,

[0018] e i，t : is the carbon emission factor of power plant i in period t;

[0019] Pi，t : is the power generation of power plant i in period t;

[0020] C. Calculation of indirect carbon emissions from inter-provincial electricity inflow

[0021] The indirect carbon emissions from inter-provincial electricity inflows are calculated based on the inflow electricity and the indirect carbon emission factor of the inflow electricity, namely:

[0022]

[0023] In the formula,

[0024] E j，t : Carbon emissions of line j in period t;

[0025] P j，t : The active power flowing into line j in time period t;

[0026] The carbon emission factor of electricity of line j (wherein the carbon emission factor of the line whose source is fossil energy power generation is calculated based on the direct carbon emissions on the source side, and the carbon emission factor of the line whose source is non-fossil energy power generation is calculated as 0);

[0027] Δt: time interval;

[0028] D. Calculation of Node Carbon Emission Factor

[0029] The node carbon emission factor is determined by the carbon emission flow generated by the generator connected to the node and the carbon emission flow flowing into the node from other nodes. The carbon flow per unit of electricity flowing from the same node to each line is equal and equal to the electricity carbon emission factor of the node.

[0030] Therefore, the calculation expression of the carbon emission factor of node n in time period t is:

[0031]

[0032] In the formula,

[0033] Ω n : The set of nodes including power plants with flow flowing into node n;

[0034] P mn，t : active power flow of branch mn in time period t;

[0035] e m,t : Carbon emission factor of node set m in period t;

[0036] In particular, when power plant i is at node n, the node receives carbon emission flows from not only the carbon emissions from each branch, but also the carbon emissions generated by the power plant itself. At this time, the calculation expression of the carbon emission factor of node n should be:

[0037]

[0038] E. Calculation of regional carbon emission factors

[0039] According to the obtained carbon emission factors of each node and the spatial relationship of the nodes, the regional carbon emission factor e′ can be comprehensively calculated. x，t , which is used to characterize the average carbon emission factor of electricity consumption of load-side users in the region, and its calculation expression is:

[0040]

[0041] Where:

[0042] U is the set of all nodes in the regional power grid x;

[0043] P n，t is the load power of node n in time period t;

[0044] F. Calculation of indirect carbon emissions from terminal electricity consumption

[0045] Based on the electricity consumption of load-side users and their electricity carbon emission factor data, for any user A, its indirect carbon emissions from electricity consumption in a certain period of time t can be obtained: A，t :

[0046] E A,t =e′ x,t P A,t Δt

[0047] Where: User A is located in regional power grid x;

[0048] P A，t is the electricity consumption of user A in time period t;

[0049] Δt is the time interval for carbon measurement of the user unit.

[0050] Preferably, the enterprise electricity carbon emissions metering platform includes:

[0051] a. Regional overview module: provides an overview of the energy carbon emissions of enterprises, displays an overview of the key basic information of enterprises, and provides the overall energy carbon emission structure of the park, evaluation index benchmarking, energy carbon emission early warning, energy consumption monitoring, energy carbon emission monitoring, and overall situation of clean energy carbon emission reduction, as well as energy consumption monitoring, energy carbon emission monitoring, and energy carbon emission early warning of buildings according to the time dimensions of year and month;

[0052] b. Energy carbon emission module: Provides real-time monitoring of important energy consumption indicators of the entire park and each building under the micro-grid structure, and provides real-time monitoring of energy carbon emissions, energy consumption and PUE on a daily, weekly, monthly and annual basis, helping enterprises to intuitively grasp their own energy consumption carbon emissions and PUE real-time status (every 15 minutes);

[0053] c. Energy carbon emission analysis module: provides applications such as energy operation activity analysis, energy dual carbon index analysis, and energy special index analysis, and conducts detailed analysis of energy carbon emission trends, energy carbon emission structure trends, building carbon emission trends, and energy carbon emission reduction trends, to help the government understand the overall energy carbon emission situation of the park and provide support for enterprises' carbon emission reduction decisions;

[0054] d. Energy carbon emission early warning module: Based on the historical energy carbon emission situation, it predicts energy carbon emissions, builds an energy carbon emission excess risk index, and realizes energy carbon emission early warning for the entire park / building in the year / month time dimension;

[0055] e. Energy carbon emission analysis report module: Based on the basic energy carbon emission data of the system, the system generates an energy carbon emission analysis report, providing enterprises with energy carbon emission analysis report query and download functions;

[0056] f. Enterprise information maintenance module; provides basic maintenance functions such as building information maintenance, energy information maintenance, substation information maintenance, collection point archive maintenance, energy consumption statistics and electrical configuration.

[0057] Compared with the related art, the present invention provides the following beneficial effects:

[0058] (1) The real-time electricity carbon emission calculation method for electricity users is a carbon measurement method based on actual energy consumption. It measures the carbon emissions of electricity users in real time through the real link of power plant-transmission line-substation-transmission line-electricity terminal. Compared with the traditional average electricity carbon emission factor method, its measurement results are more accurate and timely, and provide more powerful underlying data for government carbon supervision and corporate carbon emission reduction.

[0059] (2) Based on the gateway meter data and sub-item metering data under the micro-grid structure, the real-time calculation of terminal electricity carbon metering is realized, and the "personalized, online, and convenient" energy dual-carbon function application is realized, the pain points of energy consumption in the park are located, the energy efficiency of the park is promoted, and the energy conservation and carbon reduction of the park are assisted, thereby reducing the energy consumption cost of the park.

[0060] (3) The real-time electricity carbon emission metering platform for enterprises under the micro-grid structure organically combines the six core functions of regional overview, energy carbon emission monitoring, energy carbon emission analysis, energy carbon emission warning, energy carbon emission analysis report, and enterprise information maintenance, providing a new digital solution for carbon emission management and carbon emission reduction under the micro-grid structure. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Figure 1 Schematic diagram of the relationship between the carbon flow of the node and the branch;

[0062] Figure 2 This is a technical architecture diagram of the real-time electricity carbon emission measurement platform for micro-grid structures;

[0063] Figure 3 This is a schematic diagram of the security architecture of the enterprise real-time electricity carbon emission metering platform for micro-grid structures. DETAILED DESCRIPTION

[0064] The present invention will be further described below in conjunction with the accompanying drawings and implementation modes.

[0065] The real-time electricity carbon emission measurement method for electricity consumption terminals and the enterprise electricity carbon emission measurement platform under the micro-grid structure of the present invention include:

[0066] The real-time electricity carbon emission calculation method for electricity consumption terminals of the present invention:

[0067] To calculate the real-time carbon emissions of electricity terminals, it is necessary to start with the carbon emissions of power plants and electricity flowing into provinces, including the calculation of direct carbon emissions from power plants, the calculation of direct carbon emission factors from power plants, the calculation of indirect carbon emissions from electricity flowing into provinces, the calculation of node carbon emission factors, the calculation of regional carbon emission factors, and the calculation of carbon emissions from terminal electricity. None of them can be missing.

[0068] Calculation of direct carbon emissions from power plants

[0069] As a direct source of carbon emissions, the generator set should first clarify the carbon emissions on the power generation side, and then build a carbon measurement model in combination with the power system flow. The carbon emissions generated by the generator set all come from the fossil fuels consumed by the power plant. According to the relationship between the carbon emission density generated by different energy types of fossil fuels and the fuel quality, we can get:

[0070]

[0071] In the formula,

[0072] E i，t : Carbon emissions of power plant i in period t;

[0073] M i，m，t: The mass of fossil fuel m burned by power plant i in time period t;

[0074] Carbon dioxide emission factor produced when a unit of fossil fuel m is burned.

[0075] Calculation of carbon emission factors for power plants

[0076] The carbon emission factor of a generator set is equal to the ratio of the carbon emission of the generator set to the power and the measurement time, that is:

[0077]

[0078] In the formula,

[0079] e i，t : is the carbon emission factor of power plant i in period t;

[0080] P i，t : is the power generation of power plant i in period t.

[0081] Calculation of indirect carbon emissions from inter-provincial electricity inflows

[0082] The indirect carbon emissions from inter-provincial electricity inflows are calculated based on the inflow electricity and the indirect carbon emission factor of the inflow electricity, namely:

[0083]

[0084] In the formula,

[0085] E j，t : Carbon emissions of line j in period t;

[0086] P j，t : The active power flowing into line j in time period t;

[0087] The electricity carbon emission factor of line j (the carbon emission factor of the line whose source is fossil energy power generation is calculated based on the direct carbon emissions on the source side, and the carbon emission factor of the line whose source is non-fossil energy power generation is calculated as 0).

[0088] Δt: time interval.

[0089] Node carbon emission factor calculation

[0090] The node carbon emission factor is determined by the carbon emission flow generated by the generator set connected to the node and the carbon emission flow flowing into the node from other nodes. The carbon flow per unit electricity flowing from the same node to each line is equal and equal to the electricity carbon emission factor of the node.

[0091] Therefore, the calculation expression of the carbon emission factor of node n in time period t is:

[0092]

[0093] In the formula,

[0094] Ω n : The set of nodes including power plants with flow flowing into node n;

[0095] P mn，t : active power flow of branch mn in time period t;

[0096] e m,t : Carbon emission factor of node set m in period t.

[0097] In particular, when power plant i is at node n, the node receives carbon emission flows from not only the carbon emissions from each branch, but also the carbon emissions generated by the power plant itself. At this time, the calculation expression of the carbon emission factor of node n should be:

[0098]

[0099] Calculation of regional carbon emission factors

[0100] According to the obtained carbon emission factors of each node and the spatial relationship of the nodes, the regional carbon emission factor e′ can be comprehensively calculated. x，t , which is used to characterize the average carbon emission factor of electricity consumption of load-side users in the region, and its calculation expression is:

[0101]

[0102] Where:

[0103] U is the set of all nodes in the regional power grid x;

[0104] P n，t is the load power of node n in time period t.

[0105] Calculation of indirect carbon emissions from final electricity consumption

[0106] Based on the electricity consumption of load-side users and their electricity carbon emission factor data, for any user A, its indirect carbon emissions from electricity consumption in a certain period of time t can be obtained: A，t :

[0107] E A,t =e′ x,t P A,t Δt

[0108] Where: User A is located in regional power grid x;

[0109] P A，t is the electricity consumption of user A in time period t;

[0110] Δt is the time interval for carbon measurement of the user unit.

[0111] The enterprise real-time electricity carbon emission measurement platform under the micro-grid structure of the present invention:

[0112] The real-time electricity carbon emissions metering platform for enterprises under micro-grid structures aims to improve the accuracy and timeliness of indirect electricity carbon emissions measurement, accurately measures indirect electricity carbon emissions under different grid structures, and realizes six core functions: regional overview, energy carbon emissions monitoring, energy carbon emissions analysis, energy carbon emissions early warning, energy carbon emissions analysis report, and enterprise information maintenance. It fully supports government overall management, enterprise lean management, and user energy conservation and emission reduction.

[0113] Core Features

[0114] a. Regional overview. Provide an overview of the energy carbon emissions of enterprises, display an overview of the key basic information of enterprises, and provide the overall energy carbon emission structure of the park, evaluation index benchmarking, energy carbon emission warning, energy consumption monitoring, energy carbon emission monitoring, and the overall situation of clean energy carbon emission reduction, as well as energy consumption monitoring, energy carbon emission monitoring, and energy carbon emission warning of buildings in terms of annual and monthly time dimensions.

[0115] b. Energy carbon emission monitoring. Provide real-time monitoring of the important energy consumption indicators of the entire park and each building under the micro-grid structure, and provide real-time monitoring of energy carbon emissions, energy consumption and PUE on a daily, weekly, monthly and annual basis, helping enterprises to intuitively grasp their own energy consumption carbon emissions and PUE real-time situation (every 15 minutes).

[0116] c. Energy carbon emission analysis. Provide applications such as energy operation activity analysis, energy dual carbon index analysis, and energy special index analysis. Conduct detailed analysis on energy carbon emission trends, energy carbon emission structure trends, building carbon emission trends, and energy carbon emission reduction trends, so as to help the government understand the overall energy carbon emission situation in the park and provide support for enterprises to make carbon emission reduction decisions.

[0117] d. Energy carbon emission warning. Based on the historical energy carbon emission situation, energy carbon emissions are predicted, and an energy carbon emission excess risk index is constructed to achieve energy carbon emission warning for the entire park / building in the year / month time dimension.

[0118] e. Energy carbon emission analysis report. Based on the basic energy carbon emission data of the system, the system generates an energy carbon emission analysis report, providing enterprises with energy carbon emission analysis report query and download functions.

[0119] f. Enterprise information maintenance. Provide basic maintenance functions such as building information maintenance, energy information maintenance, substation information maintenance, collection point archive maintenance, energy consumption statistics and electricity configuration.

[0120] 2) Technical architecture

[0121] The platform adopts a microservice technology architecture, which is generally divided into infrastructure layer, data layer, support service layer, service layer, application layer, and presentation layer. Unified security assurance strategies and unified monitoring and logging run through all levels of the technical architecture, and standardized interfaces and data access services are provided at the platform boundaries.

[0122] 3) Security Architecture

[0123] The platform follows the security strategy of "zoning and zoning, secure access, dynamic perception, and comprehensive protection" to design security protection for the system's physical security, boundary security, application security, data security, host security, network security, and terminal security. This ensures the platform's safe, reliable, and stable operation to the greatest extent possible, and meets the requirements of the third level of security protection.

[0124] In order to more clearly illustrate the specific implementation mode of the present invention, an embodiment is provided below:

[0125] The present invention discloses a real-time electricity carbon emission measurement method based on an enterprise electricity carbon emission measurement platform, which is a real-time electricity carbon emission calculation method for electricity terminals. Through the real link of power plant-transmission line-substation-transmission line-electricity terminal, the electricity terminal is measured in real time to provide more powerful underlying data for government carbon supervision and enterprise carbon emission reduction. Based on the gateway table data and sub-item measurement data under the micro-grid structure, the real-time calculation of terminal electricity carbon measurement is realized, and the energy dual-carbon function application of "personalization, online, and convenient" is realized, the pain points of park energy consumption are located, and the energy efficiency of the park is improved. It assists the park in energy conservation and carbon reduction, and reduces the energy cost of the park. The enterprise real-time electricity carbon emission measurement platform under the micro-grid structure organically combines the six core functions of regional overview, energy carbon emission monitoring, energy carbon emission analysis, energy carbon emission warning, energy carbon emission analysis report, and enterprise information maintenance, providing a new digital solution for carbon emission management and carbon emission reduction under the micro-grid structure.

[0126] like Figure 1 The figure shows the relationship between the node and the branch carbon flow. To calculate the real-time carbon emissions of electricity at the power consumption terminal, it is necessary to start with the carbon emissions of power plants and inter-provincial electricity. Electricity flows out from the source power plant and reaches the power consumption terminal after passing through nodes at all levels. In the process, it is necessary to calculate the direct carbon emissions of power plants, direct carbon emission factors of power plants, indirect carbon emissions of inter-provincial electricity, node carbon emission factors, regional carbon emission factors, and terminal electricity carbon emissions.

[0127] like Figure 2The figure shows the technical architecture of the enterprise power carbon emission metering platform under the micro-grid structure. The platform adopts a microservice technology architecture, which is generally divided into infrastructure layer, data layer, support service layer, service layer, application layer, and presentation layer. Unified security strategies and unified monitoring and logs run through all levels of the technical architecture, and provide standardized interfaces and data access services at the platform boundary.

[0128] like Figure 3 As shown in the figure, the platform follows the security strategy of "zoning and zoning, secure access, dynamic perception, and comprehensive protection" to design security protection for the system's physical security, boundary security, application security, data security, host security, network security, and terminal security. This ensures the platform's safe, reliable, and stable operation to the greatest extent possible, and meets the requirements of the third level of security protection.

[0129] The above are only embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A real-time electricity carbon emission measurement method based on an enterprise electricity carbon emission measurement platform, characterized by: The real-time carbon emissions of electricity at the electricity consumption terminal are calculated starting from the carbon emissions of power plants and inter-provincial electricity inflows, including: calculation of direct carbon emissions from power plants, calculation of direct carbon emission factors from power plants, calculation of indirect carbon emissions from inter-provincial electricity inflows, calculation of node carbon emission factors, calculation of regional carbon emission factors, and carbon emissions from terminal electricity consumption, among which: A. Calculation of direct carbon emissions from power plants As a direct source of carbon emissions, the generator set should first clarify the carbon emissions on the power generation side, and then build a carbon measurement model in combination with the power system flow; the carbon emissions generated by the generator set all come from the fossil fuels consumed by the power plant. According to the relationship between the carbon emission density generated by different energy types of fossil fuels and the fuel quality, we can get: In the formula, E i，t : Carbon emissions of power plant i in period t; M i，m，t : The mass of fossil fuel m burned by power plant i in time period t; The carbon dioxide emission factor produced when a unit of fossil fuel m is burned; B. Calculation of Carbon Emission Factors of Power Plants The carbon emission factor of a generator set is equal to the ratio of the carbon emission of the generator set to the power and the measurement time, that is: In the formula, e i，t : is the carbon emission factor of power plant i in period t; P i，t : is the power generation of power plant i in period t; C. Calculation of indirect carbon emissions from inter-provincial electricity inflows The indirect carbon emissions from inter-provincial electricity inflows are calculated based on the inflow electricity and the indirect carbon emission factor of the inflow electricity, namely: In the formula, E j，t : Carbon emissions of line j in period t; P j，t : The active power flowing into line j in time period t; The carbon emission factor of electricity of line j (wherein the carbon emission factor of the line whose source is fossil energy power generation is calculated based on the direct carbon emissions on the source side, and the carbon emission factor of the line whose source is non-fossil energy power generation is calculated as 0); Δt: time interval; D. Calculation of Node Carbon Emission Factor The node carbon emission factor is determined by the carbon emission flow generated by the generator connected to the node and the carbon emission flow flowing into the node from other nodes. The carbon flow per unit of electricity flowing from the same node to each line is equal and equal to the electricity carbon emission factor of the node. Therefore, the calculation expression of the carbon emission factor of node n in time period t is: In the formula, Ω n : The set of nodes including power plants with flow flowing into node n; P mn，t : active power flow of branch mn in time period t; e m,t : Carbon emission factor of node set m in period t; In particular, when power plant i is at node n, the node receives carbon emission flows from not only the carbon emissions from each branch, but also the carbon emissions generated by the power plant itself. At this time, the calculation expression of the carbon emission factor of node n should be: E. Calculation of regional carbon emission factors According to the obtained carbon emission factors of each node and the spatial relationship of the nodes, the regional carbon emission factor e′ can be comprehensively calculated. x，t , which is used to characterize the average carbon emission factor of electricity consumption of load-side users in the region, and its calculation expression is: Where: U is the set of all nodes in the regional power grid x; P n，t is the load power of node n in time period t; F. Calculation of indirect carbon emissions from terminal electricity consumption Based on the electricity consumption of load-side users and their electricity carbon emission factor data, for any user A, its indirect carbon emissions from electricity consumption in a certain period of time t can be obtained: A，t : AND A,t =and′ x,t P A,t Δt Where: User A is located in regional power grid x; P A，t is the electricity consumption of user A in time period t; Δt is the time interval for carbon measurement of the user unit.

2. The real-time electricity carbon emission measurement method based on the enterprise electricity carbon emission measurement platform according to claim 1 is characterized by: The enterprise electricity carbon emission measurement platform includes: a. Regional overview module: provides an overview of the energy carbon emissions of enterprises, displays an overview of the key basic information of enterprises, and provides the overall energy carbon emission structure of the park, evaluation index benchmarking, energy carbon emission early warning, energy consumption monitoring, energy carbon emission monitoring, and overall situation of clean energy carbon emission reduction, as well as energy consumption monitoring, energy carbon emission monitoring, and energy carbon emission early warning of buildings according to the time dimensions of year and month; b. Energy carbon emission module: Provides real-time monitoring of important energy consumption indicators of the entire park and each building under the micro-grid structure, and provides real-time monitoring of energy carbon emissions, energy consumption and PUE on a daily, weekly, monthly and annual basis, helping enterprises to intuitively grasp their own energy consumption carbon emissions and PUE real-time status (every 15 minutes); c. Energy carbon emission analysis module: provides applications such as energy operation activity analysis, energy dual carbon index analysis, and energy special index analysis, and conducts detailed analysis of energy carbon emission trends, energy carbon emission structure trends, building carbon emission trends, and energy carbon emission reduction trends, to help the government understand the overall energy carbon emission situation of the park and provide support for enterprises' carbon emission reduction decisions; d. Energy carbon emission early warning module: Based on the historical energy carbon emission situation, it predicts energy carbon emissions, builds an energy carbon emission excess risk index, and realizes energy carbon emission early warning for the entire park / building in the year / month time dimension; e. Energy carbon emission analysis report module: Based on the basic energy carbon emission data of the system, the system generates an energy carbon emission analysis report, providing enterprises with energy carbon emission analysis report query and download functions; f. Enterprise information maintenance module; provides basic maintenance functions such as building information maintenance, energy information maintenance, substation information maintenance, collection point archive maintenance, energy consumption statistics and electricity configuration.

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