Electric power carbon emission evaluation system based on energy data

By designing a power carbon emission assessment system based on energy data, the problem of inaccurate existing assessment methods is solved, and a more comprehensive and accurate carbon emission assessment is achieved to support the sustainable development of the power industry.

CN120218949AActive Publication Date: 2025-06-27NANJING ELECTRIC POWER DESIGN & RESEARCH INSTITUTE CO LTD
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Patent Information

Application Number
CN202510279474.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-11
Publication Date
2025-06-27
Estimated Expiration
2045-03-11

AI Technical Summary

Technical Problem

Existing methods for power carbon emissions assessment rely on historical data or averages, resulting in inaccurate assessment results.

Method used

A power carbon emission assessment system based on energy data was designed, including energy data acquisition module, data processing module, carbon emission calculation module, effect analysis module and carbon emission assessment module. By standardizing energy data, calculating carbon oxidation percentage and energy combustion residues, analyzing carbon emission impact factors and total effects, and constructing carbon emission assessment reports, the comprehensiveness and accuracy of the assessment are improved.

Benefits of technology

Through systematic data collection and processing, the accuracy and consistency of energy data are ensured, and the reliability of accurate calculation and evaluation reports of carbon emissions are improved, helping the power industry to manage carbon emissions more effectively and achieve sustainable development.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The invention relates to the field of environmental science and engineering, and discloses an electric power carbon emission evaluation method based on energy data, and the method comprises the steps: constructing an energy data collection module of an evaluation object; collecting energy data of the evaluation object, standardizing the energy data by using a preset conversion factor algorithm, calculating the carbon oxidation percentage and the energy combustion residual rate of the energy corresponding to the evaluation object, and calculating the carbon emission of the evaluation object; the method comprises the following steps: analyzing a carbon emission influence factor of an evaluation object, analyzing a carbon emission total effect of the evaluation object, performing decomposition analysis on the carbon emission total effect by using a preset additive decomposition algorithm, analyzing a carbon emission development state and a carbon emission hot spot of the evaluation object, calculating carbon emission intensity of the evaluation object, and constructing a carbon emission evaluation report of the evaluation object. According to the invention, the comprehensiveness and accuracy of power carbon emission evaluation can be improved.
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Description

Technical Field

[0001] The present invention relates to the field of environmental science and engineering, and particularly to a power carbon emission assessment system based on energy data. Background Art

[0002] Power carbon emissions refer to the carbon dioxide emissions generated during the power production process due to the combustion of fossil fuels (such as coal, oil, and natural gas). Power carbon emission assessment is an important tool to promote the transformation of the power industry and even the entire society towards a low-carbon economy, and has far-reaching significance for achieving sustainable development and coping with climate change challenges.

[0003] Currently, the main method for power carbon emission assessment is the emission factor method, which calculates the carbon emissions by multiplying the power production by a specific emission factor (i.e., the amount of carbon dioxide generated per unit of power). Since this method relies on historical data or average values, and these data may have uncertainties, the assessment results are not accurate enough. Summary of the Invention

[0004] The present invention provides a power carbon emission assessment system based on energy data, and its main purpose is to improve the comprehensiveness and accuracy of power carbon emission assessment.

[0005] To achieve the above object, a power carbon emission assessment system based on energy data provided by the present invention includes: an energy data collection module, a data processing module, a carbon emission calculation module, an effect analysis module, and a carbon emission assessment module;

[0006] The energy data collection module is used to clarify the assessment object of power carbon emissions, determine the time range of the power carbon emissions, identify the energy types of the assessment object, and construct the energy data collection module of the assessment object according to the energy types and the time range;

[0007] The data processing module is used to collect the energy data of the assessment object based on the energy data collection module, and normalize the energy data based on the energy data by using a preset conversion factor algorithm to obtain normalized data;

[0008] The carbon emission calculation module is used to calculate the carbon oxidation percentage and the energy combustion residue rate of the corresponding energy of the assessment object according to the normalized data, and calculate the carbon emissions of the assessment object according to the carbon oxidation percentage and the energy combustion residue rate;

[0009] The effect analysis module is used to analyze the carbon emission impact factors of the evaluation object, analyze the total carbon emission effect of the evaluation object based on the carbon emission impact factors and the carbon emissions, and use a preset additive decomposition algorithm to decompose and analyze the total carbon emission effect to obtain an effect analysis result;

[0010] The carbon emission evaluation module is used to obtain the historical data of the evaluation object, analyze the carbon emission development status and carbon emission hotspots of the evaluation object based on the historical data and the effect analysis result, calculate the carbon emission intensity of the evaluation object, and construct a carbon emission evaluation report for the evaluation object based on the carbon emission development status, the carbon emission hotspots and the carbon emission intensity.

[0011] Optionally, the energy data acquisition module for constructing the evaluation object according to the energy type and the time range includes:

[0012] Determine the acquisition data target of the evaluation object according to the energy type;

[0013] Configure the sensors of the evaluation object according to the acquisition data target;

[0014] Determine the data acquisition points of the evaluation object, and determine the acquisition frequency of the data acquisition points according to the time range;

[0015] Construct a central database for the sensors, and determine the communication protocol between the central database and the sensors;

[0016] Integrate the energy data acquisition module of the evaluation object according to the data acquisition points, the acquisition frequency, the communication protocol, the central database and the sensors.

[0017] Optionally, the standardization of the energy data using a preset conversion factor algorithm to obtain standardized data includes:

[0018] Analyze the boundary conditions of the conversion factor algorithm;

[0019] Convert the energy data according to the boundary conditions to obtain converted data;

[0020] Determine the conversion factor of the converted data, and construct a conversion table for the converted data according to the conversion factor;

[0021] Standardize the converted data according to the conversion table and the conversion factor to obtain standardized data.

[0022] Optionally, calculating the carbon oxidation percentage and the energy combustion residue rate of the energy corresponding to the evaluation object according to the standardized data includes:

[0023] Extracting the energy quality, CO2 quality, and residue quality of the standardized data;

[0024] Detecting the carbon content of the energy;

[0025] Calculating the carbon oxidation percentage of the energy according to the energy quality, the carbon content, and the CO2 quality;

[0026] Calculating the energy combustion residue rate of the energy according to the residue quality and the energy quality.

[0027] Optionally, calculating the carbon emission of the evaluation object according to the carbon oxidation percentage and the energy combustion residue rate includes:

[0028] Determining the number of energy types of the energy type corresponding to the evaluation object;

[0029] Analyzing the standard coal consumption of the energy corresponding to the evaluation object;

[0030] Calculating the carbon content per unit calorific value and the average low calorific value of the energy;

[0031] Calculating the carbon emission of the evaluation object according to the carbon oxidation percentage, the energy combustion residue rate, the number of energy types, the standard coal consumption, the carbon content per unit calorific value, and the average low calorific value.

[0032] Optionally, analyzing the carbon emission impact factor of the evaluation object includes:

[0033] Obtaining the relevant activity data of the evaluation object;

[0034] Identifying the carbon emission sources of the evaluation object according to the relevant activity data;

[0035] Calculating the carbon emission coefficient of the evaluation object according to the carbon emission sources and the carbon emission of the evaluation object;

[0036] When the carbon emission coefficient is greater than the preset carbon emission coefficient threshold, determining the carbon emission impact factor of the evaluation object.

[0037] Optionally, using the preset additive decomposition algorithm to decompose and analyze the total carbon emission effect to obtain the effect analysis result includes:

[0038] Divide the total carbon emission effect to obtain effect classifications, where the effect classifications include: energy carbon emission effect, energy conversion effect, power structure effect, power generation and consumption ratio effect, power consumption intensity effect, and economic effect;

[0039] According to the effect classifications, use a preset additive decomposition algorithm to determine the effect decomposition formula of the total carbon emission effect;

[0040] According to the effect decomposition formula, perform decomposition analysis on the total carbon emission effect to obtain an effect analysis result.

[0041] Optionally, the analyzing the carbon emission development status and carbon emission hotspots of the evaluation object according to the historical data and the effect analysis result includes:

[0042] Construct a carbon emission-time curve of the evaluation object according to the historical data and the effect analysis result;

[0043] Identify the change characteristics of the carbon emission-time curve, where the change characteristics include: significant fluctuations, curve inflection points, and overall trends;

[0044] Determine the carbon emission development status of the evaluation object according to the change characteristics;

[0045] Divide the production process corresponding to the evaluation object according to the historical data and the effect analysis result to obtain a multi-stage process;

[0046] Analyze the stage carbon emissions and stage contribution rates of the multi-stage process;

[0047] Determine the carbon emission hotspots of the evaluation object according to the stage carbon emissions and stage contribution rates.

[0048] Optionally, the calculating the carbon emission intensity of the evaluation object includes:

[0049] Determine the total power generation of the evaluation object according to the time range corresponding to the evaluation object;

[0050] Analyze the indirect carbon emissions of the evaluation object based on the time range;

[0051] Calculate the carbon emission intensity of the evaluation object according to the carbon emissions, indirect carbon emissions, and total power generation corresponding to the evaluation object.

[0052] In the embodiments of the present invention, by constructing an energy data acquisition module for the evaluation object according to the energy type and the time range, data of different energy types can be integrated into one system, and the consistency of data formats can be ensured, facilitating unified processing and analysis. Optionally, in the embodiments of the present invention, by using a preset conversion factor algorithm based on the energy data to standardize the energy data, the obtained standardized data can ensure that all energy data follow the same measurement standard and format, making the energy data more accurate and reliable and reducing errors during analysis. In the embodiments of the present invention, by calculating the carbon oxidation percentage and the energy combustion residue rate of the corresponding energy of the evaluation object according to the standardized data, the energy use can be better managed, the environmental impact can be reduced, and at the same time, the economic benefits and the social responsibility image can be improved. In the embodiments of the present invention, by analyzing the total carbon emission effect of the evaluation object according to the carbon emission impact factor and the carbon emission amount, the inefficient links in energy and resource use can be identified by analyzing the carbon emission efficiency, so as to take measures to improve the energy and resource use efficiency. In the embodiments of the present invention, by using a preset additive decomposition algorithm to decompose and analyze the total carbon emission effect, the obtained effect analysis result can analyze the carbon emission costs of each part and the potential emission reduction costs, so as to conduct a cost-benefit analysis and select the most cost-effective emission reduction strategy. Finally, in the embodiments of the present invention, by constructing a carbon emission evaluation report for the evaluation object according to the carbon emission development status, the carbon emission hotspots and the carbon emission intensity, accurate data on carbon emissions in the power industry can be provided, facilitating regular emission monitoring and reporting and meeting the emission reporting requirements of the government and the industry. Therefore, the comprehensiveness and accuracy of power carbon emission evaluation are improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 FIG. is a functional module diagram of a power carbon emission evaluation system based on energy data provided by an embodiment of the present invention;

[0054] Figure 2 FIG. is a schematic flowchart of a power carbon emission evaluation method based on energy data provided by an embodiment of the present invention;

[0055] The realization, functional features and advantages of the object of the present invention will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0056] To make the objectives, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0057] In addition, the step timings in the following method embodiments are only examples and not strictly limited.

[0058] In fact, the server devices deployed in the power carbon emission assessment system based on energy data may consist of one or more devices. The above-mentioned power carbon emission assessment system based on energy data can be implemented as: a business instance, a virtual machine, or a hardware device. For example, the power carbon emission assessment system based on energy data can be implemented as a business instance deployed on one or more devices in a cloud node. Simply put, the power carbon emission assessment system based on energy data can be understood as a software deployed on a cloud node, which is used to provide services for power carbon emission assessment based on energy data to each client. Or, the power carbon emission assessment system based on energy data can also be implemented as a virtual machine deployed on one or more devices in a cloud node. An application software for managing each client is installed in the virtual machine. Or, the power carbon emission assessment system based on energy data can also be implemented as a server composed of many identical or different types of hardware devices, and one or more hardware devices are set to provide services for power carbon emission assessment based on energy data to each client.

[0059] In terms of implementation form, the power carbon emission assessment system based on energy data and the client adapt to each other. That is, if the power carbon emission assessment system based on energy data is an application installed on a cloud service platform, then the client is a client that establishes a communication connection with this application; or if the power carbon emission assessment system based on energy data is implemented as a website, then the client is implemented as a web page; or if the power carbon emission assessment system based on energy data is implemented as a cloud service platform, then the client is implemented as a small program in an instant messaging application.

[0060] Refer to Figure 1 As shown, it is a functional module diagram of the power carbon emission assessment system based on energy data provided by an embodiment of the present invention.

[0061] The power carbon emission assessment system 100 according to the present invention can be set in a cloud server. In terms of implementation form, it can be used as one or more service devices, or can be installed as an application on the cloud (such as a server for power carbon emission assessment based on energy data, a server cluster, etc.), or can also be developed as a website. According to the functions implemented, the power carbon emission assessment system 100 includes an energy data collection module 101, a data processing module 102, a carbon emission calculation module 103, an effect analysis module 104, and a carbon emission assessment module 105.

[0062] In the embodiments of the present invention, in the tracking of power carbon emission assessment based on energy data, each of the above modules can be independently implemented and called by other modules. Here, the call can be understood as that a certain module can be connected to multiple modules of another type and provide corresponding services for the multiple modules it is connected to. In the power carbon emission assessment system based on energy data provided by the embodiments of the present invention, without modifying the program code, the applicable range of the power carbon emission assessment architecture based on energy data can be adjusted by adding modules and directly calling, so as to achieve cluster-level horizontal expansion, so as to achieve the purpose of quickly and flexibly expanding the power carbon emission assessment system based on energy data. In practical applications, the above modules can be set in the same device or different devices, or can be set in virtual devices, such as service instances in cloud servers.

[0063] Next, specific embodiments will be combined to illustrate each component and the specific working process of the power carbon emission assessment system based on energy data respectively.

[0064] The energy data acquisition module 101 is used to clarify the assessment object of power carbon emissions, determine the time range of the power carbon emissions, identify the energy types of the assessment object, and construct the energy data acquisition module of the assessment object according to the energy types and the time range.

[0065] In the embodiments of the present invention, clarifying the assessment object of power carbon emissions can help identify the links or regions with the highest carbon emissions in the power system, so as to take targeted measures to reduce emissions. Among them, the assessment object refers to a specific entity or system that needs to calculate and evaluate carbon emissions, such as power generation enterprises, power grids, power projects, etc.

[0066] In the embodiments of the present invention, by determining the time range of the power carbon emissions, the carbon emission situation in different time ranges can be understood, which helps to optimize energy use and scheduling, improve energy efficiency, and reduce unnecessary carbon emissions. Among them, the time range refers to a specific time interval used to define the cycle of carbon emission data collection and analysis, including annual, quarterly, and monthly.

[0067] In the embodiments of the present invention, by identifying the energy types of the assessment object, the carbon emissions generated by each energy consumption can be calculated more accurately by identifying the energy types, so as to obtain a more accurate total carbon emissions. Among them, the energy types refer to various energy forms involved in the power production and use processes, such as coal, natural gas, oil, etc.

[0068] Optionally, as an embodiment of the present invention, the energy types of the assessment object can be identified through an energy management system or smart grid technology.

[0069] In the embodiments of the present invention, by constructing the energy data acquisition module of the evaluation object according to the energy type and the time range, data of different energy types can be integrated into one system, and the consistency of the data format can be ensured, which is convenient for unified processing and analysis. Among them, the energy data acquisition module refers to a system or a set of devices dedicated to collecting, recording, transmitting, and processing data related to energy consumption.

[0070] As an embodiment of the present invention, the constructing the energy data acquisition module of the evaluation object according to the energy type and the time range includes:

[0071] Determine the acquisition data target of the evaluation object according to the energy type;

[0072] Configure the sensors of the evaluation object according to the acquisition data target;

[0073] Determine the data acquisition points of the evaluation object, and determine the acquisition frequency of the data acquisition points according to the time range;

[0074] Construct the central database of the sensors, and determine the communication protocol between the central database and the sensors;

[0075] Integrate the energy data acquisition module of the evaluation object according to the data acquisition points, the acquisition frequency, the communication protocol, the central database, and the sensors.

[0076] Among them, the acquisition data target refers to the specific data collection purpose and the indicators to be achieved when collecting energy data. The sensor refers to a device that can sense a specified physical quantity (such as temperature, pressure, flow rate, voltage, etc.) and convert it into an electrical signal or other forms of information output. The data acquisition point refers to the specific location or node set in an energy system for collecting and monitoring energy usage data. The acquisition frequency refers to the number of times the sensor or other monitoring devices record data per unit time during the data acquisition process. The central database refers to a system that centrally stores, manages, and processes a large amount of data, and is used to collect information from multiple data acquisition points in an organization or system. The communication protocol refers to a set of rules and standards that define the format, sequence, error detection, and correction methods of data transmission between devices.

[0077] Optionally, the determining the acquisition frequency of the data acquisition points according to the time range can be determined by rate-of-change analysis.

[0078] The data processing module 102 is configured to collect the energy data of the evaluation object based on the energy data collection module, and standardize the energy data based on the energy data by using a preset conversion factor algorithm to obtain standardized data.

[0079] In an embodiment of the present invention, by collecting the energy data of the evaluation object based on the energy data collection module, high-carbon emission links can be identified, and thus measures can be taken to reduce carbon emissions, supporting the sustainable development goal. Among them, the energy data refers to various information and values related to the energy consumption of the evaluation object, such as energy consumption, energy use efficiency, etc.

[0080] In an embodiment of the present invention, by standardizing the energy data based on the energy data by using a preset conversion factor algorithm to obtain standardized data, it can be ensured that all energy data follows the same measurement standard and format, making the energy data more accurate and reliable, and reducing errors during analysis. Among them, the preset conversion factor algorithm refers to a set of mathematical methods and rules for calculating and verifying material balances in energy flows, material flows, or chemical reaction processes. The standardized data refers to a data set that conforms to specific standards or specifications after certain processing and conversion.

[0081] As an embodiment of the present invention, the step of standardizing the energy data based on the energy data by using a preset conversion factor algorithm to obtain standardized data includes:

[0082] Analyze the boundary conditions of the conversion factor algorithm;

[0083] According to the boundary conditions, convert the energy data to obtain converted data;

[0084] Determine the conversion factor of the converted data, and construct a conversion table for the converted data according to the conversion factor;

[0085] According to the conversion table and the conversion factor, standardize the converted data to obtain standardized data.

[0086] Among them, the boundary conditions refer to a series of restrictions or rules that need to be satisfied when executing the conversion factor algorithm to ensure the correct execution of the algorithm and the accuracy of the results. The converted data refers to the original data that has been processed or converted in some form, such as data with data format conversion, data with data type conversion, etc. The conversion factor refers to a coefficient used to convert a physical quantity (such as energy consumption) from one measurement unit to another measurement unit. The conversion table refers to a table or data structure containing a series of conversion factors for converting data from one measurement unit to another measurement unit.

[0087] Optionally, the conversion factor for determining the converted data can be determined by determining the conversion factor of the converted data.

[0088] The carbon emission calculation module 103 is configured to calculate the carbon oxidation percentage and the energy combustion residue rate of the energy corresponding to the evaluation object according to the standardized data, and calculate the carbon emissions of the evaluation object according to the carbon oxidation percentage and the energy combustion residue rate.

[0089] In the embodiment of the present invention, by calculating the carbon oxidation percentage and the energy combustion residue rate of the energy corresponding to the evaluation object according to the standardized data, the energy use can be better managed, the environmental impact can be reduced, and at the same time, the economic benefit and the social responsibility image can be improved. Among them, the carbon oxidation percentage refers to the proportion of carbon elements in the fuel that are oxidized into carbon dioxide (CO2) or other oxidized carbon compounds under certain conditions. The energy combustion residue rate refers to the proportion of the residual substances that are not completely burned in the original energy input during the combustion process of the energy.

[0090] As an embodiment of the present invention, calculating the carbon oxidation percentage and the energy combustion residue rate of the energy corresponding to the evaluation object according to the standardized data includes:

[0091] Extract the energy quality, CO2 quality, and residue quality of the standardized data;

[0092] Detect the carbon content of the energy;

[0093] According to the energy quality, the carbon content, and the CO2 quality, use the following formula to calculate the carbon oxidation percentage of the energy:

[0094]

[0095] Among them, θ represents the carbon oxidation percentage, Z(CO2) represents the CO2 quality, Z(N) represents the energy quality, and H(C) represents the carbon content;

[0096] Calculate the energy combustion residue rate of the energy according to the residue quality and the energy quality.

[0097] Among them, the energy quality refers to the total mass of the energy consumed or used within a certain period of time. The CO2 quality refers to the mass of carbon dioxide (CO2) gas generated during the combustion process of the energy. The carbon content refers to the mass percentage or mass fraction of carbon elements in the energy substance.

[0098] In an embodiment of the present invention, by calculating the carbon emissions of the evaluation object according to the carbon oxidation percentage and the energy combustion residue rate, the carbon emissions of the evaluation object can be accurately measured and calculated, providing data support for formulating emission reduction and carbon emission evaluation. Among them, the carbon emissions refer to the total mass of carbon dioxide (CO2) directly or indirectly generated by the evaluation object (such as an enterprise, a facility, a product or a service) within a certain period of time.

[0099] As an embodiment of the present invention, the calculating the carbon emissions of the evaluation object according to the carbon oxidation percentage and the energy combustion residue rate includes:

[0100] Determining the number of energy types corresponding to the energy type of the evaluation object;

[0101] Analyzing the standard coal consumption of the energy corresponding to the evaluation object;

[0102] Calculating the carbon content per unit calorific value and the average low calorific value of the energy;

[0103] According to the carbon oxidation percentage, the energy combustion residue rate, the number of energy types, the standard coal consumption, the carbon content per unit calorific value, and the average low calorific value, use the following formula to calculate the carbon emissions of the evaluation object:

[0104]

[0105] Among them, P(C) represents the carbon emissions, m represents the number of energy types, BM i represents the standard coal consumption of the i-th energy, DF i represents the average low calorific value of the i-th energy, RC i represents the carbon content per unit calorific value of the i-th energy, θ i represents the carbon oxidation percentage of the i-th energy, CL i represents the energy combustion residue rate of the i-th energy.

[0106] Among them, the number of energy types refers to the total number of different energy types used by the evaluation object within a specific period. The standard coal consumption refers to converting the energy consumption of different types into a unified measurement standard. The carbon content per unit calorific value refers to the carbon content corresponding to unit energy (usually expressed in joules or calories). The average low calorific value refers to the heat released when the energy is completely burned, minus the net heat of the heat evaporated by the moisture in the fuel.

[0107] Optionally, the calculating the carbon content per unit calorific value and the average low calorific value of the energy can be measured and calculated by chemical composition analysis and a constant pressure calorimeter.

[0108] The effect analysis module 104 is configured to analyze the carbon emission impact factors of the evaluation object, analyze the total carbon emission effect of the evaluation object according to the carbon emission impact factors and the carbon emission amount, and perform decomposition analysis on the total carbon emission effect by using a preset additive decomposition algorithm to obtain an effect analysis result.

[0109] In an embodiment of the present invention, by analyzing the carbon emission impact factors of the evaluation object, it can be clarified which activities and processes are the main sources of carbon emissions, so as to take targeted measures for emission reduction. Among them, the carbon emission impact factor refers to various factors that can quantify the carbon emission amount of a specific object (such as an enterprise, a product, a service, an activity or a process).

[0110] As an embodiment of the present invention, the analysis of the carbon emission impact factors of the evaluation object includes:

[0111] Obtain the relevant activity data of the evaluation object;

[0112] Identify the carbon emission sources of the evaluation object according to the relevant activity data;

[0113] Calculate the carbon emission coefficient of the evaluation object according to the carbon emission sources and the corresponding carbon emission amount of the evaluation object;

[0114] When the carbon emission coefficient is greater than a preset carbon emission coefficient threshold, determine the carbon emission impact factors of the evaluation object.

[0115] Among them, the relevant activity data refers to all data directly or indirectly related to the carbon emissions of the evaluation object, and these data are used to calculate the carbon emission amount of the evaluation object, such as energy consumption data, production process data, waste treatment data, etc. The carbon emission source refers to the specific source or activity that directly or indirectly generates greenhouse gas emissions, such as burning fossil fuels, transportation, waste treatment, etc. The carbon emission coefficient is a parameter used to quantify the contribution of a specific activity or substance to greenhouse gas emissions. The preset carbon emission coefficient threshold refers to a set of standard values or limit values of carbon emission coefficients set in advance for controlling and managing carbon emissions.

[0116] Optionally, the calculation of the carbon emission coefficient of the evaluation object according to the carbon emission sources and the corresponding carbon emission amount of the evaluation object can be calculated by statistical regression analysis method.

[0117] In the embodiments of the present invention, by analyzing the total carbon emission effect of the evaluation object based on the carbon emission impact factor and the carbon emission amount, the low-efficiency links in energy and resource use can be identified by analyzing the carbon emission efficiency, so as to take measures to improve the energy and resource use efficiency. Among them, the total carbon emission effect refers to the overall impact of all carbon emissions generated by the evaluation object during its activities, such as climate change, ecosystem damage, health problems, economic losses, etc.

[0118] Optionally, as an embodiment of the present invention, the analysis of the total carbon emission effect of the evaluation object according to the carbon emission impact factor and the carbon emission amount can be analyzed through life cycle assessment.

[0119] In the embodiments of the present invention, by using a preset additive decomposition algorithm to decompose and analyze the total carbon emission effect, the effect analysis result can be obtained to analyze the carbon emission cost and potential emission reduction cost of each part, so as to conduct a cost-benefit analysis and select the most cost-effective emission reduction strategy. Among them, the preset additive decomposition algorithm refers to a mathematical method that decomposes the total effect of a complex system into the sum of the effects of its individual components. The effect analysis result refers to the specific conclusion or data obtained after evaluating the impact of a certain system, process, product or decision.

[0120] As an embodiment of the present invention, the use of the preset additive decomposition algorithm to decompose and analyze the total carbon emission effect to obtain the effect analysis result includes:

[0121] Dividing the total carbon emission effect to obtain an effect classification, where the effect classification includes: energy carbon emission effect, energy conversion effect, power structure effect, power generation and consumption ratio effect, power consumption intensity effect, and economic effect;

[0122] According to the effect classification, using the preset additive decomposition algorithm to determine the effect decomposition formula of the total carbon emission effect, where the effect decomposition formula includes:

[0123] X z =X P +X H +X D +X Q +X J +X F

[0124] Among them, X z represents the total carbon emission effect, X P represents the energy carbon emission effect, X H represents the energy conversion effect, X D represents the power structure effect, X Q represents the power consumption intensity effect, XJ Denotes the economic effect, X F Denotes the power generation and consumption ratio effect;

[0125] According to the effect decomposition formula, the total carbon emission effect is decomposed and analyzed to obtain the effect analysis result, where the effect analysis result includes:

[0126]

[0127]

[0128] Wherein, X z Denotes the total carbon emission effect, X P Denotes the energy carbon emission effect, X H Denotes the energy conversion effect, X D Denotes the power structure effect, X Q Denotes the power consumption intensity effect, X J Denotes the economic effect, X F Denotes the power generation and consumption ratio effect, P(C) denotes the carbon emission, P0 denotes the standard carbon emission, α denotes the carbon emission coefficient, α0 denotes the initial carbon emission coefficient, γ denotes the energy conversion efficiency, γ0 denotes the initial energy conversion efficiency, D denotes the power structure, D0 denotes the initial power structure, Q denotes the power consumption intensity, Q0 denotes the initial power consumption intensity, J denotes the economic benefit, J0 denotes the initial economic benefit, B denotes the power generation and consumption ratio, B0 denotes the initial power generation and consumption ratio, and ln denotes the logarithmic function with base e.

[0129] Among them, the effect classification refers to dividing the total carbon emission effect according to different influencing factors to facilitate the analysis and understanding of the contribution of each factor to the carbon emission change. The energy carbon emission effect refers to the carbon emission change caused by the change in the carbon emission intensity of energy (i.e., the carbon emission generated per unit of energy consumption). The energy conversion effect refers to the impact of the change in energy conversion efficiency on carbon emissions. The power structure effect refers to the impact of the change in the proportion of different energy types in power generation on carbon emissions. The power generation and consumption ratio effect refers to the impact of the change in the power generation and consumption ratio on carbon emissions. The power consumption intensity effect refers to the impact of the change in the power consumption per unit of economic output on carbon emissions. The economic effect refers to the impact of economic growth on power demand and carbon emissions. The effect decomposition formula refers to a mathematical expression used to decompose the total carbon emission change into the specific contributions of several key influencing factors.

[0130] The carbon emission assessment module 105 is used to obtain the historical data of the assessment object, analyze the carbon emission development status and carbon emission hotspots of the assessment object according to the historical data and the effect analysis result, calculate the carbon emission intensity of the assessment object, and construct a carbon emission assessment report of the assessment object according to the carbon emission development status, the carbon emission hotspots and the carbon emission intensity.

[0131] In an embodiment of the present invention, by obtaining the historical data of the assessment object, indicators such as carbon emission intensity can be calculated to evaluate the energy and resource utilization efficiency in the production process or service provision. Among them, the historical data refers to the data records in the past period related to the carbon emissions of the assessment object.

[0132] In an embodiment of the present invention, by analyzing the carbon emission development status and carbon emission hotspots of the assessment object according to the historical data and the effect analysis result, its carbon emissions can be managed more effectively, realizing the sustainable development of the environment, society and economy, and maintaining competitiveness in the trend of global low-carbon transformation. Among them, the carbon emission development status refers to the overall change trend, characteristics and conditions of the carbon emissions of the assessment object in a specific time period. The carbon emission hotspots refer to specific links or activities with relatively high carbon emissions or relatively fast growth rates in an organization, enterprise, region or process.

[0133] As an embodiment of the present invention, the analyzing the carbon emission development status and carbon emission hotspots of the assessment object according to the historical data and the effect analysis result includes:

[0134] Construct a carbon emission-time curve of the assessment object according to the historical data and the effect analysis result;

[0135] Identify the change characteristics of the carbon emission-time curve, where the change characteristics include: significant fluctuations, curve inflection points and overall trends;

[0136] Determine the carbon emission development status of the assessment object according to the change characteristics;

[0137] Divide the production process corresponding to the assessment object according to the historical data and the effect analysis result to obtain a multi-stage process;

[0138] Analyze the stage carbon emissions and stage contribution rates of the multi-stage process;

[0139] Determine the carbon emission hotspots of the assessment object according to the stage carbon emissions and stage contribution rates.

[0140] Among them, the carbon emission-time curve refers to a graph that shows the trend of the carbon emissions of the object to be evaluated (such as an enterprise, a product, a service, a process, or the entire economy) over time. The change characteristics refer to the specific patterns or features manifested in the carbon emission-time curve, showing the laws and underlying reasons for the change of carbon emissions over time. The significant fluctuations refer to the sudden increase or decrease of carbon emissions in a short period of time. The inflection point of the curve refers to the turning point on the curve, indicating that the trend of the change of carbon emissions has changed. The overall trend refers to the long-term change pattern of carbon emissions over time. The multi-stage process refers to dividing the entire life cycle or specific activities of the object to be evaluated into several consecutive or independent stages for more detailed analysis and understanding of the characteristics, impacts, and carbon emissions of each stage. The stage carbon emission refers to the carbon emissions generated in a specific stage during a multi-stage process. The stage contribution rate refers to the proportion of the carbon emissions in a specific stage to the total carbon emissions of the entire process during a multi-stage process.

[0141] Optionally, constructing the carbon emission-time curve of the object to be evaluated according to the historical data and the result of the effect analysis can be achieved by fitting data points through regression analysis (such as linear regression, polynomial regression, exponential regression, etc.).

[0142] By calculating the carbon emission intensity of the object to be evaluated in the embodiments of the present invention, high-carbon-emission links or processes can be identified, so as to specifically optimize the process and improve the efficiency. Among them, the carbon emission intensity refers to the amount of carbon dioxide emitted per unit of electric energy generated.

[0143] As an embodiment of the present invention, calculating the carbon emission intensity of the object to be evaluated includes:

[0144] Determine the total power generation of the object to be evaluated according to the time range corresponding to the object to be evaluated;

[0145] Based on the time range, analyze the indirect carbon emissions of the object to be evaluated;

[0146] According to the carbon emissions, the indirect carbon emissions, and the total power generation corresponding to the object to be evaluated, use the following formula to calculate the carbon emission intensity of the object to be evaluated:

[0147]

[0148] Among them, μ represents the carbon emission intensity, P(C) represents the carbon emissions, P K represents the indirect carbon emissions, F D represents the total power generation.

[0149] Among them, the total power generation refers to the total amount of all electric energy produced by the evaluation object within a specific time range. The indirect carbon emissions refer to the carbon emissions that are not directly generated by the evaluation object during the production or consumption process, but are the carbon emissions from other sources related to its activities.

[0150] Optionally, calculating the total power generation of the evaluation object according to the time range corresponding to the evaluation object can be determined through monitoring and metering technologies.

[0151] By constructing the carbon emission assessment report of the evaluation object according to the carbon emission development status, the carbon emission hotspots, and the carbon emission intensity, the embodiment of the present invention can provide accurate data on the carbon emissions in the power industry, facilitate regular emission monitoring and reporting, and meet the emission reporting requirements stipulated by the government and the industry.

[0152] By constructing the energy data acquisition module of the evaluation object according to the energy type and the time range, the embodiment of the present invention can integrate data of different energy types into a system and ensure the consistency of the data format, which is convenient for unified processing and analysis; optionally, by standardizing the energy data using a preset conversion factor algorithm based on the energy data, the embodiment of the present invention can obtain standardized data to ensure that all energy data follow the same measurement standard and format, making the energy data more accurate and reliable and reducing errors during analysis; by calculating the carbon oxidation percentage and the energy combustion residue rate of the energy corresponding to the evaluation object according to the standardized data, the embodiment of the present invention can better manage its energy use, reduce environmental impacts, and at the same time improve economic benefits and social responsibility image; by analyzing the total carbon emission effect of the evaluation object according to the carbon emission impact factor and the carbon emissions, the embodiment of the present invention can identify inefficient links in energy and resource use by analyzing carbon emission efficiency, and thus take measures to improve the energy and resource use efficiency; by using a preset additive decomposition algorithm to decompose and analyze the total carbon emission effect and obtain the effect analysis result, the embodiment of the present invention can analyze the carbon emission costs and potential emission reduction costs of each part, and thus conduct a cost-benefit analysis and select the most cost-effective emission reduction strategy. Finally, by constructing the carbon emission assessment report of the evaluation object according to the carbon emission development status, the carbon emission hotspots, and the carbon emission intensity, the embodiment of the present invention can provide accurate data on the carbon emissions in the power industry, facilitate regular emission monitoring and reporting, and meet the emission reporting requirements stipulated by the government and the industry. Therefore, the present invention can improve the comprehensiveness and accuracy of power carbon emission assessment.

[0153] As Figure 2 shown, it is a schematic flowchart of a power carbon emission assessment method based on energy data provided by an embodiment of the present invention. In this embodiment, the power carbon emission assessment method based on energy data includes:

[0154] Define the evaluation object of power carbon emissions, determine the time range of the power carbon emissions, identify the energy types of the evaluation object, and construct an energy data acquisition module for the evaluation object according to the energy types and the time range;

[0155] Based on the energy data acquisition module, collect the energy data of the evaluation object, and standardize the energy data based on the energy data using a preset conversion factor algorithm to obtain standardized data;

[0156] According to the standardized data, calculate the carbon oxidation percentage and the energy combustion residue rate of the corresponding energy of the evaluation object, and calculate the carbon emissions of the evaluation object according to the carbon oxidation percentage and the energy combustion residue rate;

[0157] Analyze the carbon emission impact factors of the evaluation object, analyze the total carbon emission effect of the evaluation object according to the carbon emission impact factors and the carbon emissions, and perform decomposition analysis on the total carbon emission effect using a preset additive decomposition algorithm to obtain an effect analysis result;

[0158] Obtain the historical data of the evaluation object, analyze the carbon emission development status and carbon emission hotspots of the evaluation object according to the historical data and the effect analysis result, calculate the carbon emission intensity of the evaluation object, and construct a carbon emission evaluation report for the evaluation object according to the carbon emission development status, the carbon emission hotspots and the carbon emission intensity.

[0159] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. An electricity carbon emission assessment system based on energy data, characterized in that: The system for evaluating electricity carbon emissions based on energy data includes: an energy data acquisition module, a data processing module, a carbon emissions calculation module, an effect analysis module, and a carbon emissions evaluation module; The energy data collection module is used to clarify the assessment object of electricity carbon emissions, determine the time range of the electricity carbon emissions, identify the energy type of the assessment object, and construct the energy data collection module of the assessment object according to the energy type and the time range; The data processing module is used to collect the energy data of the evaluation object based on the energy data collection module, and standardize the energy data based on the energy data using a preset conversion factor algorithm to obtain standardized data; The carbon emission calculation module is used to calculate the carbon oxidation percentage and energy combustion residual rate of the energy corresponding to the assessment object according to the standardized data, and calculate the carbon emission of the assessment object according to the carbon oxidation percentage and the energy combustion residual rate; The effect analysis module is used to analyze the carbon emission impact factor of the assessment object, analyze the total carbon emission effect of the assessment object according to the carbon emission impact factor and the carbon emission amount, and use a preset additive decomposition algorithm to decompose and analyze the total carbon emission effect to obtain an effect analysis result; The carbon emission assessment module is used to obtain the historical data of the assessment object, analyze the carbon emission development status and carbon emission hotspots of the assessment object based on the historical data and the effect analysis results, and calculate the carbon emission intensity of the assessment object, and construct a carbon emission assessment report for the assessment object based on the carbon emission development status, the carbon emission hotspots and the carbon emission intensity.

2. The power carbon emission assessment system based on energy data according to claim 1, characterized in that: The energy data acquisition module of the evaluation object is constructed according to the energy type and the time range, including: Determining a data collection target for the evaluation object according to the energy type; According to the data collection target, configure the sensor of the evaluation object; Determine the data collection points of the evaluation object, and determine the collection frequency of the data collection points according to the time range; Building a central database of the sensors and determining a communication protocol between the central database and the sensors; An energy data acquisition module of the evaluation object is integrated according to the data acquisition points, the acquisition frequency, the communication protocol, the central database and the sensor.

3. The power carbon emission assessment system based on energy data according to claim 1, characterized in that: Based on the energy data, the energy data is standardized by using a preset conversion factor algorithm to obtain standardized data, including: Analyzing boundary conditions of the conversion factor algorithm; According to the boundary conditions, the energy data is converted to obtain converted data; Determine a conversion factor of the converted data, and construct a conversion table of the converted data according to the conversion factor; The converted data is standardized according to the conversion table and the conversion factor to obtain standardized data.

4. The power carbon emission assessment system based on energy data according to claim 1, characterized in that: Calculating the carbon oxidation percentage and energy combustion residual rate of the energy corresponding to the evaluation object according to the standardized data includes: Extracting energy quality, CO2 quality and residual quality of the standardized data; detecting the carbon content of the energy source; Calculating the carbon oxidation percentage of the energy source based on the energy source mass, the carbon content, and the CO2 mass; The energy combustion residual rate of the energy is calculated according to the residue mass and the energy mass.

5. The power carbon emission assessment system based on energy data according to claim 1, characterized in that: The step of calculating the carbon emissions of the assessment object according to the carbon oxidation percentage and the energy combustion residual rate includes: Determine the number of energy types corresponding to the energy type of the assessment object; Analyze the standard coal consumption of the energy corresponding to the evaluation object; Calculate the carbon content per unit calorific value and the average lower calorific value of the energy; The carbon emissions of the assessment object are calculated based on the carbon oxidation percentage, the energy combustion residual rate, the number of energy types, the standard coal consumption, the carbon content per unit calorific value and the average lower calorific value.

6. The power carbon emission assessment system based on energy data according to claim 1, characterized in that: The analyzing the carbon emission impact factors of the assessment object includes: Obtaining relevant activity data of the evaluation object; Identifying the carbon emission sources of the assessment object based on the relevant activity data; Calculate the carbon emission coefficient of the assessment object according to the carbon emission source and the corresponding carbon emission of the assessment object; When the carbon emission coefficient is greater than a preset carbon emission coefficient threshold, the carbon emission impact factor of the assessment object is determined.

7. The power carbon emission assessment system based on energy data according to claim 1, characterized in that: The total carbon emission effect is decomposed and analyzed by using a preset additive decomposition algorithm to obtain an effect analysis result, including: Dividing the total carbon emission effect to obtain effect classification, wherein the effect classification includes: energy carbon emission effect, energy conversion effect, power structure effect, power generation and consumption ratio effect, power consumption intensity effect and economic effect; According to the effect classification, using a preset additive decomposition algorithm, an effect decomposition formula of the total effect of carbon emissions is determined; According to the effect decomposition formula, the total effect of carbon emissions is decomposed and analyzed to obtain an effect analysis result.

8. The power carbon emission assessment system based on energy data according to claim 1, characterized in that: Analyzing the carbon emission development status and carbon emission hot spots of the assessment object according to the historical data and the effect analysis results includes: Constructing a carbon emission-time curve of the assessment object according to the historical data and the effect analysis results; Identifying the change characteristics of the carbon emission-time curve, wherein the change characteristics include: significant fluctuations, curve inflection points, and overall trends; Determining the carbon emission development status of the assessment object according to the change characteristics; Dividing the production process corresponding to the evaluation object according to the historical data and the effect analysis result to obtain a multi-stage process; Analyzing the stage carbon emissions and stage contribution rates of the multi-stage process; The carbon emission hotspots of the assessment object are determined according to the carbon emissions in the stage and the contribution rate of the stage.

9. The power carbon emission assessment system based on energy data according to claim 1, characterized in that: The calculating the carbon emission intensity of the assessment object includes: Determining the total power generation of the evaluation object according to the time range corresponding to the evaluation object; Analyzing the indirect carbon emissions of the assessment object based on the time range; The carbon emission intensity of the assessment object is calculated according to the carbon emissions corresponding to the assessment object, the indirect carbon emissions and the total power generation.

10. A method for evaluating carbon emissions from electricity based on energy data, characterized in that: The method comprises: Clarify the assessment object of electricity carbon emissions, determine the time range of the electricity carbon emissions, identify the energy type of the assessment object, and construct an energy data collection module for the assessment object based on the energy type and the time range; Based on the energy data collection module, the energy data of the evaluation object is collected, and based on the energy data, the energy data is standardized by using a preset conversion factor algorithm to obtain standardized data; Calculate the carbon oxidation percentage and energy combustion residual rate of the energy corresponding to the assessment object according to the standardized data, and calculate the carbon emissions of the assessment object according to the carbon oxidation percentage and the energy combustion residual rate; Analyze the carbon emission impact factor of the assessment object, analyze the total carbon emission effect of the assessment object according to the carbon emission impact factor and the carbon emission amount, and use a preset additive decomposition algorithm to decompose and analyze the total carbon emission effect to obtain an effect analysis result; Acquire the historical data of the assessment object, analyze the carbon emission development status and carbon emission hotspots of the assessment object based on the historical data and the effect analysis results, calculate the carbon emission intensity of the assessment object, and construct a carbon emission assessment report for the assessment object based on the carbon emission development status, the carbon emission hotspots and the carbon emission intensity.

Citation Information

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