An energy data-based power carbon emission evaluation system

Abstract

The present application relates to the field of environmental science and engineering, and discloses a power carbon emission evaluation method based on energy data, which comprises the following 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 energy combustion residual rate of the energy corresponding to the evaluation object; calculating the carbon emission of the evaluation object; analyzing the carbon emission influence factor of the evaluation object; analyzing the total effect of the carbon emission of the evaluation object; decomposing and analyzing the total effect of the carbon emission by using a preset addition decomposition algorithm; analyzing the carbon emission development state and carbon emission hotspots of the evaluation object; calculating the carbon emission intensity of the evaluation object; and constructing a carbon emission evaluation report of the evaluation object. The present application can improve the comprehensiveness and accuracy of power carbon emission evaluation.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of environmental science and engineering, and particularly relates to an energy data-based power carbon emission evaluation system. BACKGROUND

[0002] Power carbon emission refers to the carbon dioxide emission generated in the process of power production due to the combustion of fossil fuels such as coal, oil and natural gas. Power carbon emission evaluation is an important tool for promoting the transformation of the power industry and even the entire society to a low-carbon economy, and has far-reaching significance for achieving sustainable development and addressing climate change challenges.

[0003] At present, the main method for power carbon emission evaluation is the emission factor method, which calculates the carbon emission by multiplying the power output with a specific emission factor (i.e. the amount of carbon dioxide generated per unit of power). This method relies on historical data or average values, which may have uncertainties, resulting in inaccurate evaluation results. SUMMARY

[0004] The present application provides an energy data-based power carbon emission evaluation system, which aims to improve the comprehensiveness and accuracy of power carbon emission evaluation.

[0005] To achieve the above-mentioned purpose, the present application provides an energy data-based power carbon emission evaluation system, which comprises an energy data acquisition module, a data processing module, a carbon emission calculation module, an effect analysis module and a carbon emission evaluation module.

[0006] The energy data acquisition module is used to determine the evaluation object of power carbon emission, determine the time range of the power carbon emission, identify the energy type of the evaluation object, and construct the energy data acquisition module of the evaluation object according to the energy type and the time range.

[0007] The data processing module is used to acquire the energy data of the evaluation object based on the energy data acquisition module, and to standardize the energy data using a preset conversion factor algorithm based on the energy data, to obtain standardized data.

[0008] The carbon emission calculation module is used to calculate the carbon oxidation percentage and energy combustion residual rate of the corresponding energy of the evaluation object according to the standardized data, and to calculate the carbon emission of the evaluation object according to the carbon oxidation percentage and the energy combustion residual rate.

[0009] The effect analysis module is configured to analyze a carbon emission influence factor of the evaluation object, analyze a total effect of carbon emission of the evaluation object according to the carbon emission influence factor and the carbon emission amount, decompose and analyze the total effect of carbon emission by using a preset additive decomposition algorithm, and obtain an effect analysis result.

[0010] The carbon emission evaluation module is configured to obtain historical data of the evaluation object, analyze a carbon emission development state and a carbon emission hotspot of the evaluation object according to the historical data and the effect analysis result, calculate a carbon emission intensity of the evaluation object, and construct a carbon emission evaluation report of the evaluation object according to the carbon emission development state, the carbon emission hotspot and the carbon emission intensity.

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

[0012] The acquisition data target of the evaluation object is determined according to the energy type;

[0013] The sensor of the evaluation object is configured according to the acquisition data target;

[0014] The data acquisition point of the evaluation object is determined, and the acquisition frequency of the data acquisition point is determined according to the time range;

[0015] The central database of the sensor is constructed, and the communication protocol between the central database and the sensor is determined;

[0016] The energy data acquisition module of the evaluation object is integrated according to the data acquisition point, the acquisition frequency, the communication protocol, the central database and the sensor.

[0017] Optionally, the energy data is standardized by using a preset conversion factor algorithm based on the energy data to obtain standardized data, and includes:

[0018] The boundary condition of the conversion factor algorithm is analyzed;

[0019] The energy data is converted according to the boundary condition to obtain converted data;

[0020] The conversion factor of the converted data is determined, and a conversion table of the converted data is constructed according to the conversion factor;

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

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

[0023] extracting the energy quality, the CO2 quality and the residual 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 residual rate of the energy according to the residual quality and the energy quality.

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

[0028] determining the energy type quantity of the energy corresponding to the evaluation object;

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

[0030] calculating the unit calorific value carbon content 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 residual rate, the energy type quantity, the standard coal consumption, the unit calorific value carbon content and the average low calorific value.

[0032] Optionally, the analyzing the carbon emission influence factor of the evaluation object comprises:

[0033] obtaining the related activity data of the evaluation object;

[0034] identifying the carbon emission source of the evaluation object according to the related activity data;

[0035] calculating the carbon emission coefficient of the evaluation object according to the carbon emission source and the carbon emission of the evaluation object;

[0036] determining the carbon emission influence factor of the evaluation object when the carbon emission coefficient is greater than a preset carbon emission coefficient threshold.

[0037] Optionally, the decomposing and analyzing the total effect of the carbon emission by using a preset additive decomposition algorithm to obtain an effect analysis result comprises:

[0038] The total effect of carbon emission is divided to obtain an effect classification, wherein the effect classification comprises: an energy carbon emission effect, an energy conversion effect, an electricity structure effect, a proportion of power generation and power consumption effect, an electricity consumption intensity effect, and an economic effect;

[0039] According to the effect classification, a preset additive decomposition algorithm is used to determine an effect decomposition formula of the total effect of carbon emission;

[0040] According to the effect decomposition formula, the total effect of carbon emission is decomposed and analyzed to obtain an effect analysis result.

[0041] Optionally, according to the historical data and the effect analysis result, a carbon emission development state and a carbon emission hotspot of the evaluation object are analyzed, comprising:

[0042] According to the historical data and the effect analysis result, a carbon emission-time curve of the evaluation object is constructed;

[0043] A change feature of the carbon emission-time curve is identified, wherein the change feature comprises: a significant fluctuation, a curve inflection point, and an overall trend;

[0044] According to the change feature, a carbon emission development state of the evaluation object is determined;

[0045] According to the historical data and the effect analysis result, a production process corresponding to the evaluation object is divided to obtain a multi-stage process;

[0046] A stage carbon emission and a stage contribution rate of the multi-stage process are analyzed;

[0047] According to the stage carbon emission and the stage contribution rate, a carbon emission hotspot of the evaluation object is determined.

[0048] Optionally, the carbon emission intensity of the evaluation object is calculated, comprising:

[0049] According to a time range corresponding to the evaluation object, a total power generation of the evaluation object is determined;

[0050] Based on the time range, an indirect carbon emission of the evaluation object is analyzed;

[0051] According to a carbon emission, the indirect carbon emission, and the total power generation corresponding to the evaluation object, a carbon emission intensity of the evaluation object is calculated.

[0052] The embodiment of the present application can integrate data of different energy types into a system and ensure consistency of data format by constructing an energy data acquisition module of the evaluation object according to the energy type and the time range, facilitating unified processing and analysis; optionally, the embodiment of the present application can ensure that all energy data follow the same measurement standard and format by obtaining standardized data through standardizing the energy data based on the energy data using a preset conversion factor algorithm, so that the energy data is more accurate and reliable, and the error during analysis is reduced; the embodiment of the present application can better manage energy use, reduce environmental impact, and improve economic benefits and social responsibility image by calculating the carbon oxidation percentage and energy combustion residual rate of the corresponding energy of the evaluation object according to the standardized data; the embodiment of the present application can identify inefficient links in energy and resource use by analyzing carbon emission efficiency, so as to take measures to improve the use efficiency of energy and resources, by analyzing the total effect of carbon emissions of the evaluation object according to the carbon emission influence factor and the carbon emission amount; the embodiment of the present application can analyze the carbon emission cost and potential emission reduction cost of each part by decomposing and analyzing the total effect of carbon emissions using a preset additive decomposition algorithm to obtain effect analysis results, so as to perform cost-benefit analysis and select the emission reduction strategy with the highest cost performance; finally, the embodiment of the present application can provide accurate data of carbon emissions of the power industry by constructing a carbon emission evaluation report of the evaluation object according to the carbon emission development state, the carbon emission hotspots and the carbon emission intensity, 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 DRAWINGS

[0053] Figure 1 A functional module diagram of a power carbon emission evaluation system based on energy data provided by an embodiment of the present application is shown in the figure.

[0054] Figure 2 A flowchart of a power carbon emission evaluation method based on energy data provided by an embodiment of the present application is shown in the figure.

[0055] The implementation, functional features and advantages of the present application will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION

[0056] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions of the embodiments of the present application will be described clearly and completely below with reference to the drawings of the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0057] In addition, the step sequence in each of the following method embodiments is only an example and is not strictly limited.

[0058] In fact, the server device deployed by the power carbon emission evaluation system based on energy data can be composed of one or more devices. The power carbon emission evaluation 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 evaluation system based on energy data can be implemented as a business instance deployed on one or more devices in a cloud node. In short, the power carbon emission evaluation system based on energy data can be understood as a software deployed on a cloud node, which provides a service of power carbon emission evaluation based on energy data for each user terminal. Alternatively, the power carbon emission evaluation system based on energy data can also be implemented as a virtual machine deployed on one or more devices in a cloud node. The virtual machine has application software installed therein for managing each user terminal. Alternatively, the power carbon emission evaluation system based on energy data can also be implemented as a server composed of a plurality of hardware devices of the same or different types, and one or more hardware devices are arranged to provide a service of power carbon emission evaluation based on energy data for each user terminal.

[0059] In terms of implementation, the power carbon emission evaluation system based on energy data and the user terminal are mutually adaptive. That is, the power carbon emission evaluation system based on energy data is an application installed on a cloud service platform, and the user terminal is a client that establishes a communication connection with the application; or the power carbon emission evaluation system based on energy data is implemented as a website, and the user terminal is implemented as a webpage; or the power carbon emission evaluation system based on energy data is implemented as a cloud service platform, and the user terminal is implemented as an applet in an instant messaging application.

[0060] Referring to Figure 1 FIG. 1 is a functional module diagram of a power carbon emission evaluation system based on energy data according to an embodiment of the present application.

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

[0062] In the embodiment of the present application, in the tracking of the power carbon emission evaluation based on energy data, each of the above modules can be independently implemented and called by other modules. The calling here can be understood as that a module can be connected to multiple modules of another type and provide corresponding services for the multiple modules connected thereto. In the power carbon emission evaluation system based on energy data provided by the embodiment of the present application, the applicable range of the power carbon emission evaluation architecture based on energy data can be adjusted by increasing modules and directly calling without modifying program codes, cluster horizontal expansion is realized, and the purpose of quickly and flexibly expanding the power carbon emission evaluation system based on energy data is achieved. In actual application, the above modules can be arranged in the same device or different devices, or can be arranged in a virtual device, such as a service instance in a cloud server.

[0063] The following will be described in combination with specific embodiments, respectively for each component of the power carbon emission evaluation system based on energy data and the specific work flow.

[0064] The energy data collection module 101 is configured to determine the evaluation object of the power carbon emission, determine the time range of the power carbon emission, identify the energy type of the evaluation object, and construct the energy data collection module of the evaluation object according to the energy type and the time range.

[0065] The embodiment of the present application can help to identify the highest carbon emission link or area in the power system by determining the evaluation object of the power carbon emission, so as to take targeted measures to reduce emissions. The evaluation object refers to a specific entity or system that needs to be calculated and evaluated for carbon emission, such as a power generation enterprise, a power grid, and a power project.

[0066] The embodiment of the present application can understand the carbon emission situation in different time ranges by determining the time range of the power carbon emission, which helps to optimize energy use and scheduling, improve energy efficiency, and reduce unnecessary carbon emissions. The time range refers to a specific time interval for defining the period of carbon emission data collection and analysis, including annual, quarterly, and monthly.

[0067] The embodiment of the present application can more accurately calculate the carbon emission of each energy consumption by identifying the energy type of the evaluation object, so as to obtain more accurate total carbon emission. The energy type refers to various energy forms involved in the process of power production and use, such as coal, natural gas, and oil.

[0068] Optionally, as an embodiment of the present application, the identification of the energy type of the evaluation object can be identified by an energy management system or smart grid technology.

[0069] The energy data acquisition module of the evaluation object is constructed according to the energy type and the time range, so that data of different energy types can be integrated into a system, and consistency of data formats is ensured, thereby facilitating unified processing and analysis.

[0070] As an embodiment of the present application, the energy data acquisition module of the evaluation object is constructed according to the energy type and the time range, and includes the following steps:

[0071] According to the energy type, the data acquisition target of the evaluation object is determined;

[0072] According to the data acquisition target, the sensor of the evaluation object is configured;

[0073] The data acquisition point of the evaluation object is determined, and the acquisition frequency of the data acquisition point is determined according to the time range;

[0074] A central database of the sensor is constructed, and a communication protocol between the central database and the sensor is determined;

[0075] According to the data acquisition point, the acquisition frequency, the communication protocol, the central database and the sensor, the energy data acquisition module of the evaluation object is integrated.

[0076] The data acquisition target refers to a specific data collection purpose and an index to be achieved when energy data is collected. The sensor refers to a device that can sense a specified physical quantity (such as temperature, pressure, flow, voltage, etc.) and convert it into an electrical signal or other form of information output. The data acquisition point refers to a specific location or node set in an energy system for collecting and monitoring energy use data. The acquisition frequency refers to the number of times per unit time that the sensor or other monitoring device records data 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, order, error detection and correction methods of data transmission between devices.

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

[0078] The data processing module 102 is configured to collect energy data of the evaluation 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 standardized data.

[0079] According to the embodiment of the present application, the energy data of the evaluation object is collected based on the energy data collection module, so that the link with high carbon emission can be identified, and measures can be taken to reduce carbon emission and support the sustainable development goal. The energy data refers to various information and values related to energy consumption of the evaluation object, such as energy consumption and energy use efficiency.

[0080] According to the embodiment of the present application, the energy data is normalized based on the energy data by using a preset conversion factor algorithm to obtain standardized data, so that all energy data can follow the same measurement standard and format, and the energy data is more accurate and reliable, and the error during analysis is reduced. The preset conversion factor algorithm refers to a set of mathematical methods and rules for calculating and verifying material balance in energy flow, material flow or chemical reaction process. The standardized data refers to a data set that meets specific standards or specifications after certain processing and conversion.

[0081] As an embodiment of the present application, the energy data is normalized based on the energy data by using a preset conversion factor algorithm to obtain standardized data, including:

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

[0083] converting the energy data according to the boundary conditions to obtain converted data;

[0084] determining a conversion factor of the converted data, and constructing a conversion table of the converted data according to the conversion factor;

[0085] normalizing the converted data according to the conversion table and the conversion factor to obtain standardized data.

[0086] The boundary conditions refer to a series of restrictions or rules that need to be met when executing the conversion factor algorithm, so as to ensure the correct execution of the algorithm and the accuracy of the results. The converted data refers to the original data after certain processing or conversion, such as data format conversion data, data type conversion data, etc. The conversion factor refers to a coefficient used to convert one physical quantity (such as energy consumption) from one unit of measurement to another unit of measurement. The conversion table refers to a table or data structure containing a series of conversion factors, which is used to convert data in one unit of measurement to data in another unit of measurement.

[0087] Optionally, the determining the conversion factor of 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 residual rate of the corresponding energy of the evaluation object according to the standardized data, and calculate the carbon emission of the evaluation object according to the carbon oxidation percentage and the energy combustion residual rate.

[0089] The embodiment of the present application can better manage the energy use, reduce environmental impact, and improve economic benefits and social responsibility image by calculating the carbon oxidation percentage and the energy combustion residual rate of the corresponding energy of the evaluation object according to the standardized data. The carbon oxidation percentage refers to the proportion of carbon elements in fuel being oxidized into carbon dioxide (CO2) or other oxidized carbon compounds under certain conditions. The energy combustion residual rate refers to the proportion of residual substances that are not completely combusted in the energy combustion process to the original energy input.

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

[0091] extracting the energy quality, the CO2 quality and the residual substance quality of the standardized data;

[0092] detecting the carbon content of the energy;

[0093] calculating the carbon oxidation percentage of the energy according to the energy quality, the carbon content and the CO2 quality by using the following formula:

[0094]

[0095] wherein 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] calculating the energy combustion residual rate of the energy according to the residual substance quality and the energy quality.

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

[0098] The carbon emission of the evaluation object can be accurately measured and calculated by calculating the carbon emission of the evaluation object according to the carbon oxidation percentage and the energy combustion residual rate, which provides data support for formulating emission reduction and carbon emission evaluation. The carbon emission refers 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 application, the calculation of the carbon emission of the evaluation object according to the carbon oxidation percentage and the energy combustion residual rate comprises:

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

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

[0102] calculating the carbon content per unit heat value and the average low heat value of the energy;

[0103] calculating the carbon emission of the evaluation object according to the carbon oxidation percentage, the energy combustion residual rate, the number of energy types, the standard coal consumption, the carbon content per unit heat value and the average low heat value by using the following formula:

[0104]

[0105] wherein P(C) represents the carbon emission, 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 heat value of the i-th energy, RC i represents the carbon content per unit heat value of the i-th energy, θ i represents the carbon oxidation percentage of the i-th energy, CL i represents the energy combustion residual rate of the i-th energy.

[0106] The number of energy types refers to the total number of different energy types used by the evaluation object within a certain period of time. The standard coal consumption refers to the conversion of energy consumption of different types into a unified measurement standard. The carbon content per unit heat value refers to the carbon content corresponding to a unit of energy (usually expressed in joules or calories). The average low heat value refers to the net heat released after deducting the evaporation heat of water in the fuel when the energy is completely combusted.

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

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

[0109] The embodiment of the present application can determine which activities and processes are the main sources of carbon emissions by analyzing the carbon emission impact factor of the evaluation object, so that measures can be taken to reduce emissions.

[0110] As an embodiment of the present application, the analysis of the carbon emission impact factor of the evaluation object comprises:

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

[0112] Identifying the carbon emission source of the evaluation object according to the relevant activity data;

[0113] Calculating the carbon emission coefficient of the evaluation object according to the carbon emission source 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, determining the carbon emission impact factor of the evaluation object.

[0115] The relevant activity data refers to all data directly or indirectly related to the carbon emission of the evaluation object, which is used to calculate and evaluate 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 a specific source or activity that directly or indirectly produces greenhouse gas emissions, such as burning fossil fuels, transportation, waste treatment, etc. The carbon emission coefficient refers to 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 that are set in advance for the purpose of controlling and managing carbon emissions.

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

[0117] The embodiment of the present application can analyze the total effect of carbon emission of the evaluation object by analyzing the carbon emission efficiency, identify the inefficient link in the use of energy and resources, and thus take measures to improve the use efficiency of energy and resources, by analyzing the carbon emission impact factor and the carbon emission amount. The total effect of carbon emission refers to the overall impact of all carbon emissions generated by the evaluation object in its activity process, such as climate change, ecological system destruction, health problems, economic losses, etc.

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

[0119] The embodiment of the present application can analyze the carbon emission cost and potential emission reduction cost of each part by decomposing and analyzing the total effect of carbon emission by using a preset additive decomposition algorithm, so as to perform cost-benefit analysis and select the emission reduction strategy with the highest cost performance. The preset additive decomposition algorithm refers to a mathematical method of decomposing the total effect of a complex system into the sum of the effects of each component. The effect analysis result refers to the specific conclusion or data obtained after evaluating the impact of a system, process, product or decision.

[0120] As an embodiment of the present application, the decomposition and analysis of the total effect of carbon emission by using a preset additive decomposition algorithm to obtain an effect analysis result, includes:

[0121] The total effect of carbon emission is divided to obtain an 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;

[0122] According to the effect classification, an effect decomposition formula of the total effect of carbon emission is determined by using a preset additive decomposition algorithm, wherein the effect decomposition formula includes:

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

[0124] Wherein, X z represents the total effect of carbon emission, 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, and XJ represents economic effect, X F represents generation and consumption ratio effect;

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

[0126]

[0127]

[0128] wherein X z represents total carbon emission effect, X P represents energy carbon emission effect, X H represents energy conversion effect, X D represents power structure effect, X Q represents power consumption intensity effect, X J represents economic effect, X F represents generation and consumption ratio effect, P(C) represents carbon emission amount, P0 represents standard carbon emission amount, a represents carbon emission coefficient, a0 represents initial carbon emission coefficient, g represents energy conversion efficiency, g0 represents initial energy conversion efficiency, D represents power structure, D0 represents initial power structure, Q represents power consumption intensity, Q0 represents initial power consumption intensity, J represents economic benefit, J0 represents initial economic benefit, B represents generation and consumption ratio, B0 represents initial generation and consumption ratio, and ln represents logarithmic function with e as base.

[0129] The effect classification refers to dividing the total carbon emission effect according to different influencing factors, so as to analyze and understand the contribution of each factor to the change of carbon emission. The energy carbon emission effect refers to the change of carbon emission due to the change of carbon emission intensity of energy (i.e. the amount of carbon emission generated per unit of energy consumption). The energy conversion effect refers to the influence of the change of energy conversion efficiency on carbon emission. The power structure effect refers to the influence of the change of the proportion of different energy types in power generation on carbon emission. The generation and consumption ratio effect refers to the influence of the change of the ratio of power generation to power consumption on carbon emission. The power consumption intensity effect refers to the influence of the change of power consumption per unit of economic output on carbon emission. The economic effect refers to the influence of economic growth on power demand and carbon emission. The effect decomposition formula refers to a mathematical expression for decomposing the total carbon emission change into the specific contribution of several key influencing factors.

[0130] The carbon emission evaluation module 105 is configured to acquire historical data of the evaluation object, analyze carbon emission development state and carbon emission hotspots of the evaluation object according to the historical data and the effect analysis result, and calculate carbon emission intensity of the evaluation object, and construct a carbon emission evaluation report of the evaluation object according to the carbon emission development state, the carbon emission hotspots and the carbon emission intensity.

[0131] The embodiment of the present application can calculate indicators such as carbon emission intensity by acquiring historical data of the evaluation object, and evaluate energy and resource use efficiency in production processes or service provision. The historical data refers to data records related to carbon emissions of the evaluation object in the past period of time.

[0132] The embodiment of the present application can more effectively manage carbon emissions, achieve sustainable development of the environment, society and economy, and maintain competitiveness in the global low-carbon transformation trend by analyzing the carbon emission development state and the carbon emission hotspots of the evaluation object according to the historical data and the effect analysis result. The carbon emission development state refers to the overall change trend, characteristics and conditions of carbon emissions of the evaluation object in a specific period of time. The carbon emission hotspot refers to a specific link or activity with relatively high carbon emissions or rapid growth rate in an organization, enterprise, region or process.

[0133] As an embodiment of the present application, the analysis of the carbon emission development state and the carbon emission hotspots of the evaluation object according to the historical data and the effect analysis result comprises:

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

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

[0136] determining the carbon emission development state of the evaluation object according to the change characteristics;

[0137] 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;

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

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

[0140] The carbon emission-time curve refers to a graph showing the trend of carbon emissions of the evaluation object (such as an enterprise, a product, a service, a process, or an entire economy) over time. The change feature refers to a specific pattern or characteristic exhibited in the carbon emission-time curve, showing the regularity of carbon emissions over time and the underlying reasons. The significant fluctuation refers to a sudden increase or decrease in carbon emissions within a short period of time. The curve inflection point refers to a turning point on the curve, indicating a change in the trend of carbon emissions. 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 evaluation object into several consecutive or independent stages to facilitate 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 of a multi-stage process. The stage contribution rate refers to the proportion of carbon emissions in a specific stage to the total carbon emissions of the entire process.

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

[0142] The embodiment of the present application can identify high-carbon-emission links or processes by calculating the carbon emission intensity of the evaluation object, thereby performing targeted process optimization and efficiency improvement. The carbon emission intensity refers to the amount of carbon dioxide emitted per unit of electricity.

[0143] As an embodiment of the present application, the calculation of the carbon emission intensity of the evaluation object comprises:

[0144] According to the time range corresponding to the evaluation object, the total power generation of the evaluation object is determined;

[0145] Based on the time range, the indirect carbon emission of the evaluation object is analyzed;

[0146] According to the carbon emission corresponding to the evaluation object, the indirect carbon emission, and the total power generation, the carbon emission intensity of the evaluation object is calculated using the following formula:

[0147]

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

[0149] The total power generation refers to the total amount of electrical energy produced by the assessed entity within a specific time frame. Indirect carbon emissions refer to carbon emissions from other sources related to the assessed entity's activities that are not directly generated during production or consumption.

[0150] Optionally, the calculation of the total power generation of the assessed object based on the time range corresponding to the assessed object can be determined by monitoring and metering technology.

[0151] This invention, through its embodiments, constructs a carbon emission assessment report for the assessed object based on the carbon emission development status, carbon emission hotspots, and carbon emission intensity. This report can provide accurate data on carbon emissions in the power industry, facilitating regular emission monitoring and reporting, and meeting the emission reporting requirements stipulated by the government and industry.

[0152] This invention, through its embodiments, constructs an energy data acquisition module for the assessed object based on the energy type and time range. This module integrates data from different energy types into a single system, ensuring data format consistency and facilitating unified processing and analysis. Optionally, this invention, through its embodiments, standardizes the energy data using a preset conversion factor algorithm. Standardized data ensures that all energy data adheres to the same measurement standards and formats, making the energy data more accurate and reliable, and reducing errors during analysis. Furthermore, by calculating the carbon oxidation percentage and energy combustion residue rate of the assessed object's corresponding energy source based on the standardized data, this invention enables better management of its energy use, reduces environmental impact, and simultaneously improves economic efficiency and social responsibility image. The carbon emission influencing factors and carbon emission amounts are used to analyze the total carbon emission effect of the assessment object. By analyzing carbon emission efficiency, inefficient links in energy and resource use can be identified, thereby taking measures to improve energy and resource utilization efficiency. This embodiment of the invention utilizes a preset additive decomposition algorithm to decompose and analyze the total carbon emission effect. The resulting effect analysis can analyze the carbon emission costs and potential emission reduction costs of each part, thereby conducting a cost-benefit analysis and selecting the most cost-effective emission reduction strategy. Finally, this embodiment of the invention constructs a carbon emission assessment report for the assessment object based on the carbon emission development status, carbon emission hotspots, and carbon emission intensity. This provides accurate data on carbon emissions in the power industry, facilitating regular emission monitoring and reporting, and meeting the emission reporting requirements stipulated by the government and industry. Therefore, this invention can improve the comprehensiveness and accuracy of power carbon emission assessment.

[0153] like Figure 2 The diagram shown is a flowchart illustrating a method for assessing electricity carbon emissions based on energy data according to an embodiment of the present invention. In this embodiment, the method for assessing electricity carbon emissions based on energy data includes:

[0154] determining a time range of the electric power carbon emission, identifying an energy type of the evaluation object, constructing an energy data acquisition module of the evaluation object according to the energy type and the time range;

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

[0156] calculating a carbon oxidation percentage and an energy combustion residual rate of the corresponding energy of the evaluation object according to the standardized data, and calculating a carbon emission amount of the evaluation object according to the carbon oxidation percentage and the energy combustion residual rate;

[0157] analyzing a carbon emission influence factor of the evaluation object, analyzing a total effect of the carbon emission of the evaluation object according to the carbon emission influence factor and the carbon emission amount, and performing decomposition analysis on the total effect of the carbon emission by using a preset additive decomposition algorithm to obtain an effect analysis result;

[0158] acquiring historical data of the evaluation object, analyzing a carbon emission development state and a carbon emission hotspot of the evaluation object and calculating a carbon emission intensity of the evaluation object according to the historical data and the effect analysis result, and constructing a carbon emission evaluation report of the evaluation object according to the carbon emission development state, the carbon emission hotspot 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 application and are not limiting. Although the present application has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solutions of the present application can be modified or replaced equivalently without departing from the spirit and scope of the technical solutions of the present application.

Claims

1. An energy data-based power carbon emission assessment system, characterized in that, The power carbon emission evaluation based on the energy data of the system comprises: An energy data collection module is configured to determine an evaluation object of power carbon emission, determine a time range of power carbon emission, identify an energy type of the evaluation object, and construct an energy data collection module of the evaluation object according to the energy type and the time range; A data processing module is configured to collect energy data of the evaluation object based on the energy data collection module, and standardize the energy data by using a preset conversion factor algorithm to obtain standardized data, wherein the data processing module comprises: analyzing boundary conditions of the conversion factor algorithm, wherein the boundary conditions refer to restrictions or rules that need to be met when the conversion factor algorithm is executed; converting the energy data according to the boundary conditions to obtain converted data; determining a conversion factor of the converted data, constructing a conversion table of the converted data according to the conversion factor, and standardizing the converted data according to the conversion table and the conversion factor to obtain the standardized data; A carbon emission calculation module is configured to calculate a carbon oxidation percentage and an energy combustion residual rate of an energy corresponding to the evaluation object according to the standardized data, and calculate a carbon emission of the evaluation object according to the carbon oxidation percentage and the energy combustion residual rate, wherein the carbon emission calculation module comprises: extracting energy quality, CO2 quality and residue quality of the standardized data; detecting carbon content of the energy; calculating the carbon oxidation percentage of the energy according to the energy quality, the carbon content and the CO2 quality by using the following formula: wherein, represents the percentage of carbon oxidation, represents the mass of CO2, represents the energy mass, represents the carbon content; calculating the energy combustion residual rate of the energy according to the residue quality and the energy quality; determining an energy type quantity of the energy type corresponding to the evaluation object; analyzing standard coal consumption of the energy corresponding to the evaluation object; calculating unit heat value carbon content and average low heat value of the energy; calculating the carbon emission of the evaluation object according to the carbon oxidation percentage, the energy combustion residual rate, the energy type quantity, the standard coal consumption, the unit heat value carbon content and the average low heat value; An effect analysis module is configured to analyze a carbon emission influence factor of the evaluation object, analyze a total effect of carbon emission of the evaluation object according to the carbon emission influence factor and the carbon emission, decompose and analyze the total effect of carbon emission by using a preset addition decomposition algorithm to obtain an effect analysis result; A carbon emission evaluation module is configured to obtain historical data of the evaluation object, analyze a carbon emission development state and a carbon emission hotspot of the evaluation object according to the historical data and the effect analysis result, and calculate a carbon emission intensity of the evaluation object, and construct a carbon emission evaluation report of the evaluation object according to the carbon emission development state, the carbon emission hotspot and the carbon emission intensity; which comprises: constructing a carbon emission-time curve of the evaluation object according to the historical data and the effect analysis result; identifying a change characteristic of the carbon emission-time curve, wherein the change characteristic comprises: significant fluctuation, curve inflection point and overall trend; determining the carbon emission development state of the evaluation object according to the change characteristic; dividing a production process corresponding to the evaluation object according to the historical data and the effect analysis result to obtain a multi-stage process; analyzing stage carbon emission and stage contribution rate of the multi-stage process; determining the carbon emission hotspot of the evaluation object according to the stage carbon emission and the stage contribution rate.

2. The energy source data based power carbon emission assessment system of claim 1, wherein, According to the energy type and the time range, the energy data collection module of the evaluation object is constructed, including: According to the energy type, the collection data target of the evaluation object is determined; According to the collection data target, the sensor of the evaluation object is configured; The data collection point of the evaluation object is determined, and the collection frequency of the data collection point is determined according to the time range; The central database of the sensor is constructed, and the communication protocol between the central database and the sensor is determined; According to the data collection point, the collection frequency, the communication protocol, the central database and the sensor, the energy data collection module of the evaluation object is integrated.

3. The energy source data based power carbon emission assessment system of claim 1, wherein, The carbon emission influence factor of the evaluation object is analyzed, including: The relevant activity data of the evaluation object is obtained; According to the relevant activity data, the carbon emission source of the evaluation object is identified; According to the carbon emission source and the corresponding carbon emission amount of the evaluation object, the carbon emission coefficient of the evaluation object is calculated; When the carbon emission coefficient is greater than the preset carbon emission coefficient threshold, the carbon emission influence factor of the evaluation object is determined.

4. The energy source data based power carbon emission assessment system of claim 1, wherein, The total effect of carbon emission is decomposed and analyzed by using the preset additive decomposition algorithm to obtain the effect analysis result, including: The total effect of carbon emission is divided to obtain the 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, the effect decomposition formula of the total effect of carbon emission is determined by using the preset additive decomposition algorithm; According to the effect decomposition formula, the total effect of carbon emission is decomposed and analyzed to obtain the effect analysis result.

5. The energy data-based power carbon emissions assessment system of claim 1, wherein, The carbon emission intensity of the evaluation object is calculated, including: According to the time range corresponding to the evaluation object, the total power generation of the evaluation object is determined; Based on the time range, the indirect carbon emission amount of the evaluation object is analyzed; According to the carbon emission amount, the indirect carbon emission amount and the total power generation corresponding to the evaluation object, the carbon emission intensity of the evaluation object is calculated.

6. A method for power carbon emission assessment based on energy data, the method is implemented based on the system of claim 1, characterized in that, The method includes: The evaluation object of power carbon emission is determined, the time range of power carbon emission is determined, the energy type of the evaluation object is identified, and the energy data collection module of the evaluation object is constructed according to the energy type and the time range; Based on the energy data collection module, the energy data of the evaluation object is collected, and the energy data is standardized by using the preset conversion factor algorithm based on the energy data to obtain the standardized data; According to the standardized data, the carbon oxidation percentage of the corresponding energy of the evaluation object and the energy combustion residual rate are calculated, and the carbon emission amount of the evaluation object is calculated according to the carbon oxidation percentage and the energy combustion residual rate; The carbon emission influence factor of the evaluation object is analyzed, the total effect of carbon emission of the evaluation object is analyzed according to the carbon emission influence factor and the carbon emission amount, the total effect of carbon emission is decomposed and analyzed by using the preset additive decomposition algorithm to obtain the effect analysis result; The historical data of the evaluation object is obtained, the carbon emission development state and the carbon emission hotspot of the evaluation object are analyzed according to the historical data and the effect analysis result, the carbon emission intensity of the evaluation object is calculated, and the carbon emission evaluation report of the evaluation object is constructed according to the carbon emission development state, the carbon emission hotspot and the carbon emission intensity.

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