A method and system for tracking the spatial flow of carbon emissions in the energy industry chain

Abstract

The patent of the present invention discloses a method and system for tracking the spatial flow of carbon emissions in the energy industry chain, which specifically relates to the field of information management technology. First, a spatial full-life cycle carbon emission accounting model for the production and consumption of primary energy and secondary energy itself is constructed; on this basis, a full-life cycle carbon emission spatial flow tracking model for the two-stage production and consumption of primary energy to secondary energy and one-stage production and consumption of secondary energy is constructed; according to the accounting object, data is collected and input into the model to calculate the spatial full-life cycle carbon emission data set of energy production and consumption that meets the quality assessment requirements and the full-life cycle carbon emission spatial flow data set of energy production and consumption. The technical solution of the present invention solves the problem of insufficient cross-stage spatial flow identification capabilities of carbon emissions from existing energy production and consumption, effectively improves the comprehensiveness and accuracy of implicit carbon emission accounting in the energy industry chain, and is widely used in the field of emission accounting and evaluation of the energy industry chain.

Description

Technical Field

[0001] The present invention relates to the field of information management technology, and in particular to a method and system for tracking the spatial flow of carbon emissions in an energy industry chain. Background Art

[0002] The energy industry chain involves multiple links, covering the entire life cycle from primary energy production to secondary energy conversion and then to final energy consumption. The primary energy production stage mainly involves the mining and preliminary processing of natural resources such as coal, oil, natural gas, and renewable energy (such as solar energy, wind energy, and nuclear energy); the core of the secondary energy conversion stage is to convert primary energy into energy forms that are easy to store, transport, and use (such as electricity, heat, and refined oil) through physical or chemical methods; the final energy consumption stage is to consume and utilize these converted energy products in various fields such as industry, transportation, construction, and residents' lives.

[0003] In the energy industry chain, the implicit carbon emissions of products throughout their life cycle will shift with the industrial demand, trade division and economic activities between different regions. There are currently two main methods for quantifying the transfer of implicit carbon emissions: one is the life cycle assessment method, and the other is the input-output model method. Among them, two top-down and bottom-up spatial flow tracking modes of carbon emissions have been developed based on the life cycle assessment method, so that the spatial transfer characteristics of implicit carbon emissions from the perspective of energy consumption can be traced. The former is usually represented by the environmental extension multi-regional input-output model, while the latter is represented by direct trade accounting, point flow simulation, ecological network analysis and other methods. Compared with the life cycle assessment method and its derivative methods, the input-output model (single-region input-output model, multi-regional input-output model and bilateral trade implicit emission model, etc.) is widely used in the spatial transfer analysis of carbon emissions. However, most input-output models and other methods only focus on quantitatively characterizing the spatial transfer characteristics of the implicit carbon emissions of a certain material and energy flow in the entire life cycle, and are unable to spatially track and integrate all implicit carbon emissions across stages; at the same time, input-output models and other methods usually replace the actual material and energy flow with the monetary flow between regions, resulting in inaccurate accounting results. Taking the power industry as an example, most accounting only examines the carbon emissions in the power production stage and the implicit carbon emissions transfer in the power transmission process in space, but does not characterize the implicit carbon emissions in the production and transportation of upstream fuels such as coal. The flow characteristics of carbon emissions between different regions along the energy industry chain of coal mining-coal-fired power generation-coal-fired power consumption are unclear. Therefore, there is an urgent need for a carbon emission tracking method that can identify the flow direction of the energy industry chain between different regions. Summary of the invention

[0004] The present invention aims to provide a method and system for tracking the spatial flow of carbon emissions in an energy industry chain, which solves the problem of insufficient ability to identify the spatial flow of carbon emissions across stages in existing energy production and consumption.

[0005] In order to achieve the above object, the present invention provides a technical solution as follows: a method for tracking the spatial flow of carbon emissions in an energy industry chain, comprising the following steps:

[0006] S1. Based on the universal multi-flow multi-node model, the primary energy production, secondary energy conversion or final energy consumption process corresponding to the spatial location is modeled at a specific location to form a spatial full-life cycle carbon emission accounting model for the production and consumption of primary energy and secondary energy itself;

[0007] S2. Based on the spatialized full-life cycle carbon emission accounting model of energy production and consumption, clarify the flow characteristics of carbon emission between different regions along the energy industry chain of primary energy production-secondary energy conversion-final energy consumption under different application scenarios, and form a full-life cycle carbon emission spatial flow tracking model from primary energy to secondary energy production and consumption and from secondary energy production and consumption to one stage;

[0008] S3. Determine the initial energy industry chain dataset based on the accounting object, and substitute the initial energy industry chain dataset into the spatialized full life cycle carbon emission accounting model for the production and consumption of primary energy and secondary energy themselves and the full life cycle carbon emission spatial flow tracking model for the two-stage production and consumption of primary energy to secondary energy and one-stage production and consumption of secondary energy, to obtain the spatialized full life cycle carbon emission dataset of energy production and consumption and the full life cycle carbon emission spatial flow dataset of energy production and consumption that meet the quality assessment requirements.

[0009] Furthermore, in step S1, the spatialized full life cycle carbon emission accounting model construction method is:

[0010] S1.1. Based on the product production flow, transportation flow and consumption flow in the energy industry chain, establish the product flow input and output balance equation of primary energy and secondary energy production and consumption at each node at the provincial and regional scale;

[0011] S1.2. Based on the product flow input-output balance relationship of step S1.1, establish the implicit carbon emission flow input-output balance equation for the production and consumption of primary energy and secondary energy at each node at the provincial scale.

[0012] Furthermore, the product flow input and output balance equation is:

[0013]

[0014] Where, PP iiis the production flow input of primary energy in the i-th province; tr ji is the transport flow input of primary energy from the jth province to the ith province; PC ii is the consumption flow output of primary energy in the i-th province; tr ij is the transport flow output of primary energy from the i-th province to the j-th province; SP ii is the production flow input of secondary energy in the ith province; ts ki is the transport flow input of secondary energy from the kth province to the ith province; SC ii is the consumption flow output of secondary energy in the ith province; ts ik It is the transport flow output of secondary energy from the i-th province to the k-th province.

[0015] The implicit carbon emission flow input and output balance equation is:

[0016]

[0017] In the formula, a i Input the implicit carbon emission intensity for the production flow of primary energy in the i-th province; b j Enter the implicit carbon emission intensity for the transport flow of primary energy from the jth province to the ith province; b i is the implicit carbon emission intensity of the primary energy consumption flow output in the i-th province; c i is the conversion coefficient of primary energy to secondary energy in the ith province; d k is the carbon emission intensity of primary energy embedded in the secondary energy transport flow from the kth province to the ith province; d i is the implicit carbon emission intensity of the secondary energy consumption flow output in the i-th province.

[0018]

[0019] In the formula, e i Input the implicit carbon emission intensity for the production flow of secondary energy in the i-th province; f k Enter the implicit carbon emission intensity for the transport flow of secondary energy from the kth province to the ith province; f i is the implicit carbon emission intensity of the secondary energy consumption flow output in the i-th province.

[0020] Furthermore, in step S2, the method for constructing the spatial flow tracking model of carbon pollution emissions throughout the life cycle is:

[0021] S2.1. When the primary energy production process occurs in the jth province, the secondary energy conversion process occurs in the ith province, and the final energy consumption process occurs in the kth province, the construction method of the spatial flow tracking model of carbon emissions in the whole life cycle from primary energy to secondary energy production and consumption is:

[0022]

[0023] In the formula, s jik The spatial flow of carbon emissions along the energy industry chain of primary energy production-secondary energy conversion-final energy consumption between the jth province-the ith province-the kth province;

[0024] S2.2. When the primary energy production process occurs in the jth province, the secondary energy conversion process occurs in the ith province, and the final energy consumption process occurs in the ith province, the construction method of the spatial flow tracking model of carbon emissions in the whole life cycle from primary energy to secondary energy production and consumption is:

[0025]

[0026] In the formula, s jii The spatial flow of carbon emissions along the energy industry chain of primary energy production-secondary energy conversion-final energy consumption between the jth province-the ith province-the ith province;

[0027] S2.3. When the primary energy production process occurs in the i-th province, the secondary energy conversion process occurs in the i-th province, and the final energy consumption process occurs in the k-th province, the construction method of the spatial flow tracking model of carbon emissions in the whole life cycle from primary energy to secondary energy production and consumption is:

[0028]

[0029] In the formula, s iik The spatial flow of carbon emissions along the energy industry chain of primary energy production-secondary energy conversion-final energy consumption between the i-th province-i-th province-k-th province;

[0030] S2.4. When the primary energy production process occurs in the i-th province, the secondary energy conversion process occurs in the i-th province, and the final energy consumption process occurs in the i-th province, the construction method of the spatial flow tracking model of carbon emissions in the whole life cycle from primary energy to secondary energy production and consumption is:

[0031]

[0032] In the formula, s iiiThe spatial flow of carbon emissions along the energy industry chain of primary energy production-secondary energy conversion-final energy consumption between the ith province-the ith province-the ith province;

[0033] S2.5. When the secondary energy conversion process occurs in the kth province and the final energy consumption process occurs in the ith province, the construction method of the spatial flow tracking model of carbon emissions in the whole life cycle of secondary energy production and consumption is as follows:

[0034]

[0035] In the formula, t ki The spatial flow of carbon emissions along the energy industry chain from secondary energy conversion to final energy consumption between the kth province and the ith province;

[0036] S2.6. When the secondary energy conversion process occurs in the i-th province and the final energy consumption process occurs in the i-th province, the construction method of the spatial flow tracking model of carbon emissions in the whole life cycle of secondary energy production and consumption is as follows:

[0037]

[0038] In the formula, t ii It is the spatial flow of carbon emissions between the ith province and the ith province along the energy industry chain from secondary energy conversion to final energy consumption.

[0039] Furthermore, the method of step S3 is as follows:

[0040] S3.1. Identify the system boundary of the accounting according to the accounting object and determine the data source of the energy industry chain;

[0041] S3.2. Based on the determined energy industry chain data source, collect the production data, transformation data, consumption data, flow data and implicit carbon emission intensity data of energy products to form an initial energy industry chain data set;

[0042] S3.3. Check the initial energy industry chain data set and convert it into a unified data format. Input the spatial full life cycle carbon emission accounting model of primary energy and secondary energy production and consumption, and conduct a quality assessment on the accounting results. If the pre-set quality assessment requirements are not met, proceed to step S3.1 and re-determine the energy industry chain data source. Otherwise, proceed to S3.4.

[0043] S3.4. Integrate the accounting results that meet the pre-set quality assessment requirements to obtain a spatialized full life cycle carbon emission data set for energy production and consumption;

[0044] S3.5. Extract energy industry chain data sets and spatialized full life cycle carbon emission data sets that meet the pre-set quality assessment requirements, input the full life cycle carbon emission spatial flow tracking model from primary energy to secondary energy production and consumption in two stages and secondary energy production and consumption in one stage, and conduct quality assessment on the accounting results. If the pre-set quality assessment requirements are not met, proceed to step S3.1 to re-determine the energy industry chain data source, otherwise proceed to step S3.6;

[0045] S3.6. Integrate the accounting results that meet the pre-set quality assessment requirements to obtain the spatial flow data set of carbon emissions over the entire life cycle of energy production and consumption.

[0046] The present invention provides a technical solution as follows: a system for tracking the spatial flow of carbon emissions in an energy industry chain, comprising:

[0047] Spatialized full life cycle carbon emission calculation module for energy production and consumption: establish a spatialized full life cycle carbon emission accounting model for the production and consumption of primary and secondary energy, and calculate a spatialized full life cycle carbon emission data set for energy production and consumption that meets the pre-set quality assessment requirements;

[0048] The module for calculating the spatial flow of carbon emissions in the whole life cycle of energy production and consumption: establishes a spatial flow tracking model for carbon emissions in the whole life cycle from primary energy to secondary energy in two stages of production and consumption, and from secondary energy in one stage of production and consumption, and calculates a data set of carbon emissions in the whole life cycle of energy production and consumption that meets the pre-set quality assessment requirements;

[0049] Spatialized full life cycle carbon emissions and flow data module for energy production and consumption: Identify the system boundaries of accounting according to the accounting objects, determine the data source of the energy industry chain, calculate, integrate and manage the spatialized full life cycle carbon emissions data set of energy production and consumption and the spatialized full life cycle carbon emissions flow data set of energy production and consumption that meet the pre-set quality assessment requirements.

[0050] Furthermore, the spatialized full life cycle carbon emission calculation module includes:

[0051] Spatial calculation and integration module of carbon emissions in the whole life cycle of energy production and consumption: Based on the spatial carbon emissions accounting model of the production and consumption of primary and secondary energy, the energy industry chain data set that meets the pre-set quality assessment requirements is input to calculate the initial spatial carbon emissions data set of energy production and consumption in the whole life cycle;

[0052] Spatialized full life cycle carbon emission data verification module for energy production and consumption: used to verify the spatialized full life cycle carbon emission data set for energy production and consumption and prepare data verification reports;

[0053] The spatialized full life cycle carbon emission data storage and management module for energy production and consumption: used to store and manage the spatialized full life cycle carbon emission data set for energy production and consumption that has been verified through data.

[0054] Furthermore, the full life cycle carbon emission spatial flow calculation module includes:

[0055] Spatial flow identification module for carbon emissions in the whole life cycle of energy production and consumption: used to identify the flow characteristics of carbon emissions between different regions along the energy industry chain of primary energy production-secondary energy conversion-final energy consumption in different application scenarios;

[0056] The module for calculating and integrating the spatial flow of carbon emissions in the whole life cycle of energy production and consumption: Based on the spatial flow tracking model of carbon emissions in the whole life cycle from primary energy to secondary energy and the first stage of secondary energy production and consumption, the module inputs the energy industry chain dataset that meets the pre-set quality assessment requirements and the spatial carbon emissions dataset of energy production and consumption in the whole life cycle, and calculates the initial spatial flow dataset of carbon emissions in the whole life cycle of energy production and consumption;

[0057] Data verification module for the spatial flow direction of carbon emissions in the entire life cycle of energy production and consumption: Verify the spatial flow direction data set of carbon emissions in the entire life cycle of energy production and consumption, and prepare a data verification report;

[0058] The module for storing and managing data on the spatial flow of carbon emissions during the entire life cycle of energy production and consumption is used to store and manage the data-verified spatial flow data set of carbon emissions during the entire life cycle of energy production and consumption.

[0059] Furthermore, the spatialized full life cycle carbon emission and flow data module includes:

[0060] Energy industry chain data source definition module: identifies the system boundary of the accounting according to the accounting object and determines the energy industry chain data source;

[0061] Energy industry chain data collection module: Based on the determined energy industry chain data source, collect energy production data, energy conversion data, energy consumption data, energy flow data and implicit carbon emission intensity data to form an initial energy industry chain data set;

[0062] Energy industry chain data processing module: used to check the initial energy industry chain data set, convert the data into a unified format, and integrate the energy industry chain data set that meets the pre-set quality assessment requirements;

[0063] The module for integrating and managing data on carbon emissions and flows in the spatial life cycle of energy production and consumption: It is used to integrate energy industry chain data sets that meet pre-set quality assessment requirements, data sets on carbon emissions in the spatial life cycle of energy production and consumption, and data sets on carbon emissions flows in the spatial life cycle of energy production and consumption, and integrate them to form a data set on carbon emissions and flows in the spatial life cycle of energy production and consumption;

[0064] The module for publishing data on carbon emissions and flows of the spatial life cycle of energy production and consumption: used to publish the data set on carbon emissions and flows of the spatial life cycle of energy production and consumption;

[0065] The spatialized full life cycle carbon emission and flow data update module of energy production and consumption is used to drive the energy industry chain data source definition module to update the energy industry chain data source according to data update requirements.

[0066] Another technical solution provided by the present invention is as follows: a processing device, comprising computer program instructions, wherein the computer program instructions, when executed by the processing device, are used to implement the method and system for tracking the spatial flow of carbon emissions in the energy industry chain as described in any one of claims 1-9.

[0067] Another technical solution provided by the present invention is as follows: a computer-readable storage medium, on which computer program instructions are stored, wherein the computer program instructions, when executed by a processor, are used to implement the method and system for tracking the spatial flow of carbon emissions in the energy industry chain as described in any one of claims 1-9.

[0068] Compared with the prior art, this solution has the following beneficial effects:

[0069] 1. This plan aims to improve the current carbon emission accounting system of the energy industry chain, especially in different application scenarios, clarify the spatial and geographical locations of primary energy production, secondary energy conversion and final energy consumption, clarify the cross-stage flow and flow of carbon emissions along the entire chain of primary energy production, secondary energy conversion and final energy consumption, improve the comprehensiveness and accuracy of carbon emission accounting in the energy industry chain, and provide a scientific basis for the formulation of more detailed and systematic energy and environmental policies.

[0070] 2. This scheme is universal in the spatial accounting of carbon emissions throughout the life cycle of energy production and consumption, and can identify (implicit) spatial distribution characteristics of carbon emissions from both the production and consumption perspectives.

[0071] 3. This solution is universal in tracking the spatial flow of carbon emissions throughout the life cycle of energy flow. It can track the spatial cross-stage transfer characteristics of implicit carbon emissions along the entire chain from primary energy production to secondary energy conversion to final energy consumption in different application scenarios.

[0072] 4. This solution is simple to operate, has strong practical applicability and a wide range of applications, and effectively improves the comprehensiveness and accuracy of the accounting of implicit carbon emissions in the energy industry chain. BRIEF DESCRIPTION OF THE DRAWINGS

[0073] Figure 1 It is a flow chart of a method for tracking the spatial flow of carbon emissions in an energy industry chain according to the present invention. DETAILED DESCRIPTION

[0074] The present invention is further described in detail below through specific embodiments:

[0075] Example 1

[0076] like Figure 1 As shown, a method for tracking the spatial flow of carbon emissions in an energy industry chain includes the following steps:

[0077] S1. Based on the universal multi-flow multi-node model, the primary energy production, secondary energy conversion or final energy consumption process corresponding to the spatial location is modeled at a specific location to form a spatial full-life cycle carbon emission accounting model for the production and consumption of primary energy and secondary energy itself.

[0078] The method for constructing a spatial full life cycle carbon emission accounting model is as follows:

[0079] S1.1. Based on the product production flow, transportation flow and consumption flow in the energy industry chain, establish the product flow input and output balance equation of primary energy and secondary energy production and consumption at each node at the provincial and regional scale;

[0080] S1.2. Based on the product flow input-output balance relationship of step S1.1, establish the implicit carbon emission flow input-output balance equation for the production and consumption of primary energy and secondary energy at each node at the provincial scale.

[0081] The product flow input and output balance equation is:

[0082]

[0083] Where, PP ii is the product production flow input of primary energy in the i-th province; tr ji is the product transport flow input of primary energy from the jth province to the ith province; PC iiis the product consumption flow output of primary energy in the i-th province; tr ij is the product transport flow output of primary energy from the i-th province to the j-th province; SP ii is the product production flow input of secondary energy in the i-th province; ts ki is the product transport flow input of secondary energy from the kth province to the ith province; SC ii is the product consumption flow output of secondary energy in the i-th province; ts ik is the product transportation flow output of secondary energy from the i-th province to the k-th province;

[0084] The implicit carbon emission flow input and output balance equation is:

[0085]

[0086] In the formula, a i Input the implicit carbon emission intensity for the primary energy product production flow in the i-th province; b j Enter the implicit carbon emission intensity for the product transport flow of primary energy from the jth province to the ith province; b i is the implicit carbon emission intensity of the primary energy product consumption flow output in the i-th province; c i is the conversion coefficient of primary energy to secondary energy in the ith province; d k is the carbon emission intensity of primary energy embedded in the secondary energy transport flow from the kth province to the ith province; d i is the implicit carbon emission intensity of the secondary energy product consumption flow output after primary energy conversion in the i-th province;

[0087] SP ii ·e i +∑ k,k≠i ts ki ·f k =(SC ii +∑ k,k≠i ts ik )·f i

[0088] In the formula, e i Input the implicit carbon emission intensity of the secondary energy product production flow in the i-th province; f k Enter the implicit carbon emission intensity for the product transportation flow of secondary energy from the kth province to the ith province; f i is the implicit carbon emission intensity of the secondary energy product consumption flow output in the ith province.

[0089] S2. Based on the spatialized full life cycle carbon emission accounting model of energy production and consumption, clarify the flow characteristics of carbon emission between different regions along the energy industry chain of primary energy production-secondary energy conversion-final energy consumption under different application scenarios, and form a full life cycle carbon emission spatial flow tracking model from primary energy to secondary energy production and consumption in two stages and secondary energy production and consumption in one stage; the construction method of the full life cycle carbon emission spatial flow tracking model is:

[0090] S2.1. When the primary energy production process occurs in the jth province, the secondary energy conversion process occurs in the ith province, and the final energy consumption process occurs in the kth province, the construction method of the spatial flow tracking model of carbon emissions in the whole life cycle from primary energy to secondary energy production and consumption is:

[0091]

[0092] In the formula, s jik The spatial flow of carbon emissions along the energy industry chain of primary energy production-secondary energy conversion-final energy consumption between the jth province-the ith province-the kth province;

[0093] S2.2. When the primary energy production process occurs in the jth province, the secondary energy conversion process occurs in the ith province, and the final energy consumption process occurs in the ith province, the construction method of the spatial flow tracking model of carbon emissions in the whole life cycle from primary energy to secondary energy production and consumption is:

[0094]

[0095] In the formula, s jii The spatial flow of carbon emissions along the energy industry chain of primary energy production-secondary energy conversion-final energy consumption between the jth province-the ith province-the ith province;

[0096] S2.3. When the primary energy production process occurs in the i-th province, the secondary energy conversion process occurs in the i-th province, and the final energy consumption process occurs in the k-th province, the construction method of the spatial flow tracking model of carbon emissions in the whole life cycle from primary energy to secondary energy production and consumption is:

[0097]

[0098] In the formula, s iik The spatial flow of carbon emissions along the energy industry chain of primary energy production-secondary energy conversion-final energy consumption between the i-th province-i-th province-k-th province;

[0099] S2.4. When the primary energy production process occurs in the i-th province, the secondary energy conversion process occurs in the i-th province, and the final energy consumption process occurs in the i-th province, the construction method of the spatial flow tracking model of carbon emissions in the whole life cycle from primary energy to secondary energy production and consumption is:

[0100]

[0101] In the formula, s iii The spatial flow of carbon emissions along the energy industry chain of primary energy production-secondary energy conversion-final energy consumption between the ith province-the ith province-the ith province;

[0102] S2.5. When the secondary energy conversion process occurs in the kth province and the final energy consumption process occurs in the ith province, the construction method of the spatial flow tracking model of carbon emissions in the whole life cycle of secondary energy production and consumption is as follows:

[0103]

[0104] Where, t ki The spatial flow of carbon emissions along the energy industry chain from secondary energy conversion to final energy consumption between the kth province and the ith province;

[0105] S2.6. When the secondary energy conversion process occurs in the i-th province and the final energy consumption process occurs in the i-th province, the construction method of the spatial flow tracking model of carbon emissions in the whole life cycle of secondary energy production and consumption is as follows:

[0106]

[0107] Where, t ii It is the spatial flow of carbon emissions between the kth province and the ith province along the energy industry chain from secondary energy conversion to final energy consumption.

[0108] S3. Determine the initial energy industry chain dataset based on the accounting object, and substitute the initial energy industry chain dataset into the spatialized full life cycle carbon emission accounting model for the production and consumption of primary energy and secondary energy themselves and the full life cycle carbon emission spatial flow tracking model for the two-stage production and consumption of primary energy to secondary energy and one-stage production and consumption of secondary energy, to obtain the spatialized full life cycle carbon emission dataset of energy production and consumption and the full life cycle carbon emission spatial flow dataset of energy production and consumption that meet the quality assessment requirements.

[0109] The method of step S3 is as follows:

[0110] S3.1. Identify the system boundary of the accounting according to the accounting object and determine the data source of the energy industry chain;

[0111] S3.2. Based on the determined energy industry chain data source, collect the production data, transformation data, consumption data, flow data and implicit carbon emission intensity data of energy products to form an initial energy industry chain data set;

[0112] S3.3. Check the initial energy industry chain data set and convert it into a unified data format. Input the spatial full life cycle carbon emission accounting model of primary energy and secondary energy production and consumption, and conduct a quality assessment on the accounting results. If the pre-set quality assessment requirements are not met, proceed to step S3.1 and re-determine the energy industry chain data source. Otherwise, proceed to S3.4.

[0113] S3.4. Integrate the accounting results that meet the pre-set quality assessment requirements to obtain a spatialized full life cycle carbon emission data set for energy production and consumption;

[0114] S3.5. Extract energy industry chain data sets and spatialized full life cycle carbon emission data sets that meet the pre-set quality assessment requirements, input the full life cycle carbon emission spatial flow tracking model from primary energy to secondary energy production and consumption in two stages and secondary energy production and consumption in one stage, and conduct quality assessment on the accounting results. If the pre-set quality assessment requirements are not met, proceed to step S3.1 to re-determine the energy industry chain data source, otherwise proceed to step S3.6;

[0115] S3.6. Integrate the accounting results that meet the pre-set quality assessment requirements to obtain the spatial flow data set of carbon emissions over the entire life cycle of energy production and consumption.

[0116] Application Case 1

[0117] A method for tracking the spatial flow of carbon emissions in an energy industry chain of Example 1 is adopted. Taking the Chinese coal industry as an example, the primary energy production, secondary energy conversion and final energy consumption processes correspond to coal mining, coal-fired power generation and coal consumption processes respectively. The spatial resolution of carbon emission accounting is the provincial scale. The actual surveyed coal production data, coal inflow data, coal consumption data, coal outflow data, and coal mining carbon emission factor data are collected. Through the "China Electric Power Statistical Yearbook", coal power production data, coal current inflow data, coal power consumption data, coal current outflow data, and coal-fired power generation carbon emission factor data are collected. The spatial full life cycle carbon emission accounting model of primary energy (coal) and secondary energy (coal power) production and consumption itself and the full life cycle carbon emission spatial flow tracking model of primary energy (coal) to secondary energy (coal power) two-stage production and consumption and secondary energy (coal power) one-stage production and consumption are calculated to obtain the spatial full life cycle carbon emission data set of coal-based energy product production and consumption and the full life cycle carbon emission spatial flow data set of coal-based energy product production and consumption. Taking carbon dioxide emissions as an example, the calculation results are shown in Tables 1-4 below.

[0118] Table 1 Coal balance by province

[0119]

[0120]

[0121] Table 2 Coal-fired power balance by province

[0122]

[0123]

[0124] Table 3 Spatialized full life cycle carbon emission dataset for production and consumption of coal-based energy products

[0125]

[0126]

[0127]

[0128] Table 4 Spatial flow data set of carbon emissions in the whole life cycle of production and consumption of coal-based energy products

[0129]

[0130]

[0131]

[0132]

[0133]

[0134] Example 2

[0135] A spatial flow tracking system for carbon emissions in the energy industry chain, including:

[0136] Spatialized full life cycle carbon emission calculation module for energy production and consumption: establish a spatialized full life cycle carbon emission accounting model for the production and consumption of primary energy and secondary energy themselves, and calculate the spatialized full life cycle carbon emission data set for energy production and consumption that meets the pre-set quality assessment requirements.

[0137] In this embodiment, the spatialized full life cycle carbon emission calculation module includes:

[0138] Spatial calculation and integration module of carbon emissions in the whole life cycle of energy production and consumption: Based on the spatial carbon emissions accounting model of the production and consumption of primary and secondary energy, the energy industry chain data set that meets the pre-set quality assessment requirements is input to calculate the initial spatial carbon emissions data set of energy production and consumption in the whole life cycle;

[0139] Spatialized full life cycle carbon emission data verification module for energy production and consumption: used to verify the spatialized full life cycle carbon emission data set for energy production and consumption and prepare data verification reports;

[0140] The spatialized full life cycle carbon emission data storage and management module for energy production and consumption: used to store and manage the spatialized full life cycle carbon emission data set for energy production and consumption that has been verified through data.

[0141] Module for calculating the spatial flow of carbon emissions in the entire life cycle of energy production and consumption: establishes a spatial flow tracking model for carbon emissions in the entire life cycle from two stages of production and consumption of primary energy to secondary energy and one stage of production and consumption of secondary energy, and calculates a data set of spatial flow of carbon emissions in the entire life cycle of energy production and consumption that meets pre-set quality assessment requirements.

[0142] In this embodiment, the spatial flow calculation module of carbon emission in the whole life cycle includes:

[0143] Spatial flow identification module for carbon emissions in the whole life cycle of energy production and consumption: used to identify the flow characteristics of carbon emissions between different regions along the energy industry chain of primary energy production-secondary energy conversion-final energy consumption in different application scenarios;

[0144] The module for calculating and integrating the spatial flow of carbon emissions in the whole life cycle of energy production and consumption: Based on the spatial flow tracking model of carbon emissions in the whole life cycle from primary energy to secondary energy and the first stage of secondary energy production and consumption, the module inputs the energy industry chain dataset that meets the pre-set quality assessment requirements and the spatial carbon emissions dataset of energy production and consumption in the whole life cycle, and calculates the initial spatial flow dataset of carbon emissions in the whole life cycle of energy production and consumption;

[0145] Data verification module for the spatial flow direction of carbon emissions in the entire life cycle of energy production and consumption: Verify the spatial flow direction data set of carbon emissions in the entire life cycle of energy production and consumption, and prepare a data verification report;

[0146] The module for storing and managing data on the spatial flow of carbon emissions during the entire life cycle of energy production and consumption is used to store and manage the data-verified spatial flow data set of carbon emissions during the entire life cycle of energy production and consumption.

[0147] Spatialized full life cycle carbon emissions and flow data module for energy production and consumption: Identify the system boundaries of accounting according to the accounting objects, determine the data source of the energy industry chain, calculate, integrate and manage the spatialized full life cycle carbon emissions data set of energy production and consumption and the spatialized full life cycle carbon emissions flow data set of energy production and consumption that meet the pre-set quality assessment requirements.

[0148] The spatial full life cycle carbon emission and flow data module includes:

[0149] Energy industry chain data source definition module: identifies the system boundary of the accounting according to the accounting object and determines the energy industry chain data source;

[0150] Energy industry chain data collection module: Based on the determined energy industry chain data source, collect energy production data, energy conversion data, energy consumption data, energy flow data and implicit carbon emission intensity data to form an initial energy industry chain data set;

[0151] Energy industry chain data processing module: used to check the initial energy industry chain data set, convert the data into a unified format, and integrate the energy industry chain data set that meets the pre-set quality assessment requirements;

[0152] The module for integrating and managing data on carbon emissions and flows in the spatial life cycle of energy production and consumption: It is used to integrate energy industry chain data sets that meet pre-set quality assessment requirements, data sets on carbon emissions in the spatial life cycle of energy production and consumption, and data sets on carbon emissions flows in the spatial life cycle of energy production and consumption, and integrate them to form a data set on carbon emissions and flows in the spatial life cycle of energy production and consumption;

[0153] The module for publishing data on carbon emissions and flows of the spatial life cycle of energy production and consumption: used to publish the data set on carbon emissions and flows of the spatial life cycle of energy production and consumption;

[0154] The spatialized full life cycle carbon emission and flow data update module of energy production and consumption is used to drive the energy industry chain data source definition module to update the energy industry chain data source according to data update requirements.

[0155] Example 3

[0156] This embodiment provides a processing device corresponding to the method for tracking the spatial flow of carbon emissions in the energy industry chain provided in this embodiment 1. The processing device can be a processing device for a client, such as a mobile phone, laptop computer, tablet computer, desktop computer, etc., to execute the method of embodiment 1.

[0157] The processing device includes a processor, a memory, a communication interface and a bus, and the processor, the memory and the communication interface are connected through the bus to complete mutual communication. The memory stores a computer program that can be run on the processing device, and when the processing device runs the computer program, the method for tracking the spatial flow of carbon emissions in the energy industry chain provided in this embodiment 1 is executed.

[0158] In some implementations, the memory may be a high-speed random access memory (RAM), and may also include a non-volatile memory (non volatile memory), such as at least one disk memory.

[0159] In some other implementations, the processor may be a central processing unit (CPU), a digital signal processor (DSP), or other general-purpose processors of various types, which are not limited herein.

[0160] Example 4

[0161] This embodiment provides a computer program product corresponding to the method for tracking the spatial flow of carbon emissions in the energy industry chain provided in this embodiment 1. The computer program product may include a computer-readable storage medium on which computer-readable program instructions are loaded for executing the method for tracking the spatial flow of carbon emissions in the energy industry chain described in this embodiment 1.

[0162] Computer readable storage media may be tangible devices that hold and store instructions for use by instruction execution devices.

[0163] The computer-readable storage medium may be, for example but not limited to, an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any combination of the foregoing.

[0164] The above are only embodiments of the present invention, and the common knowledge such as the known specific structures and / or characteristics in the scheme are not described in detail here. It should be pointed out that for those skilled in the art, several deformations and improvements can be made without departing from the structure of the present invention, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicality of the patent. The scope of protection required by this application shall be based on the content of its claims, and the specific implementation methods and other records in the specification can be used to interpret the content of the claims.

Claims

1. A method for tracking the spatial flow of carbon emissions in an energy industry chain, characterized by: The steps include: S1. Based on the universal multi-flow multi-node model, the primary energy production, secondary energy conversion or final energy consumption process corresponding to the spatial location is modeled at a specific location to form a spatial full-life cycle carbon emission accounting model for the production and consumption of primary energy and secondary energy itself; S2. Based on the spatialized full-life cycle carbon emission accounting model of energy production and consumption, clarify the flow characteristics of carbon emission between different regions along the energy industry chain of primary energy production-secondary energy conversion-final energy consumption under different application scenarios, and form a full-life cycle carbon emission spatial flow tracking model from primary energy to secondary energy production and consumption and from secondary energy production and consumption to one stage; S3. Determine the initial energy industry chain data set according to the accounting object, substitute the initial energy industry chain data set into the spatial full life cycle carbon emission accounting model of primary energy and secondary energy production and consumption, and the full life cycle carbon emission spatial flow tracking model of primary energy to secondary energy production and consumption, and secondary energy production and consumption, to obtain the spatial full life cycle carbon emission data set of energy production and consumption and the full life cycle carbon emission spatial flow data set of energy production and consumption that meet the quality assessment requirements; In step S2, the method for constructing the spatial flow tracking model of carbon pollution emissions throughout the life cycle is: S2.

1. When the primary energy production process occurs in j provinces and regions, the secondary energy conversion process occurs in i provinces and regions, the final energy consumption process takes place in k The construction method of the spatial flow tracking model of carbon emissions from the production and consumption of primary energy to secondary energy in the whole life cycle of each province and region is as follows: In the formula, The energy industry chain for carbon emissions along the primary energy production-secondary energy conversion-final energy consumption is in the first j Provinces- i Provinces- k The spatial flow between provinces and regions, For j Provinces to i The transport flow input of primary energy within each province; For the i The production flow input of primary energy within each province; For the i The production flow input of secondary energy in each province; For the i The consumption flow output of secondary energy in each province; For i Provinces to k The transport flow output of secondary energy within each province; For the i Implicit carbon emission intensity of primary energy production flow input in each province; For the i The implicit carbon emission intensity of primary energy consumption flow output in each province; For j Provinces to i Implicit carbon emission intensity of primary energy transport flow input within each province; For the i The conversion coefficient of primary energy to secondary energy in each province; For the i The implicit carbon emission intensity of secondary energy consumption output in each province; S2.

2. When the primary energy production process occurs in j provinces and regions, the secondary energy conversion process occurs in i provinces and regions, the final energy consumption process takes place in i The construction method of the spatial flow tracking model of carbon emissions from the production and consumption of primary energy to secondary energy in the whole life cycle of each province and region is as follows: In the formula, The energy industry chain for carbon emissions along the primary energy production-secondary energy conversion-final energy consumption is in the first j Provinces- i Provinces- i Spatial flows between provinces and regions; S2.

3. When the primary energy production process occurs in i provinces and regions, the secondary energy conversion process occurs in i provinces and regions, the final energy consumption process takes place in k The construction method of the spatial flow tracking model of carbon emissions from the production and consumption of primary energy to secondary energy in the whole life cycle of each province and region is as follows: In the formula, The energy industry chain for carbon emissions along the primary energy production-secondary energy conversion-final energy consumption is in the first i Provinces- i Provinces- k Spatial flows between provinces and regions; S2.

4. When the primary energy production process occurs in i provinces and regions, the secondary energy conversion process occurs in i provinces and regions, the final energy consumption process takes place in i The construction method of the spatial flow tracking model of carbon emissions from the production and consumption of primary energy to secondary energy in the whole life cycle of each province and region is as follows: In the formula, The energy industry chain for carbon emissions along the primary energy production-secondary energy conversion-final energy consumption is in the first i Provinces- i Provinces- i Spatial flows between provinces and regions; S2.

5. When the secondary energy conversion process occurs in k provinces and regions, the final energy consumption process takes place in i The construction method of the spatial flow tracking model of carbon emissions in the whole life cycle of secondary energy production and consumption in each province is as follows: In the formula, The energy industry chain from secondary energy conversion to final energy consumption is the first k Provinces- i Spatial flows between provinces and regions; For k Provinces to i Implicit carbon emission intensity of secondary energy transport flow input within each province; For the i The implicit carbon emission intensity of secondary energy consumption output in each province; For the i Implicit carbon emission intensity of secondary energy production flow input in each province; S2.

6. When the secondary energy conversion process occurs in i provinces and regions, the final energy consumption process takes place in i The construction method of the spatial flow tracking model of carbon emissions in the whole life cycle of secondary energy production and consumption in each province is as follows: In the formula, The energy industry chain from secondary energy conversion to final energy consumption is the first i Provinces- i Spatial flow between provinces and regions.

2. The method for tracking the spatial flow of carbon emissions in an energy industry chain according to claim 1 is characterized by: In step S1, the method for constructing the spatialized full life cycle carbon emission accounting model is: S1.

1. Based on the product production flow, transportation flow and consumption flow in the energy industry chain, establish the product flow input and output balance equation of primary energy and secondary energy production and consumption at each node at the provincial and regional scale; S1.

2. Based on the product flow input-output balance relationship of step S1.1, establish the implicit carbon emission flow input-output balance equation for the production and consumption of primary energy and secondary energy at each node at the provincial scale.

3. The method for tracking the spatial flow of carbon emissions in an energy industry chain according to claim 2 is characterized by: The product flow input and output balance equation is: In the formula, For the i Output of primary energy consumption flow within each province; For i Provinces to j The transport flow output of primary energy within each province; For k Provinces to i The transport flow input of secondary energy within each province; The implicit carbon emission flow input and output balance equation is: In the formula, For k Provinces to i The carbon emission intensity of primary energy embedded in the secondary energy transport flow in each province; 。 4. The method for tracking the spatial flow of carbon emissions in an energy industry chain according to claim 1 is characterized in that: The method of step S3 is as follows: S3.

1. Identify the system boundary of the accounting according to the accounting object and determine the data source of the energy industry chain; S3.

2. Based on the determined energy industry chain data source, collect the production data, transformation data, consumption data, flow data and implicit carbon emission intensity data of energy products to form an initial energy industry chain data set; S3.

3. Check the initial energy industry chain data set and convert it into a unified data format. Input the spatial full life cycle carbon emission accounting model of primary energy and secondary energy production and consumption, and conduct a quality assessment on the accounting results. If the pre-set quality assessment requirements are not met, proceed to step S3.1 and re-determine the energy industry chain data source. Otherwise, proceed to S3.

4. S3.

4. Integrate the accounting results that meet the pre-set quality assessment requirements to obtain a spatialized full life cycle carbon emission data set for energy production and consumption; S3.

5. Extract energy industry chain data sets and spatialized full life cycle carbon emission data sets that meet the pre-set quality assessment requirements, input the full life cycle carbon emission spatial flow tracking model from primary energy to secondary energy production and consumption in two stages and secondary energy production and consumption in one stage, and conduct quality assessment on the accounting results. If the pre-set quality assessment requirements are not met, proceed to step S3.1 to re-determine the energy industry chain data source, otherwise proceed to step S3.6; S3.

6. Integrate the accounting results that meet the pre-set quality assessment requirements to obtain the spatial flow data set of carbon emissions over the entire life cycle of energy production and consumption.

5. The method for tracking the spatial flow of carbon emissions in an energy industry chain according to claim 1 is characterized in that: The method is applied to the spatial flow tracking system of carbon emissions in the energy industry chain, including: Spatialized full life cycle carbon emission calculation module for energy production and consumption: establish a spatialized full life cycle carbon emission accounting model for the production and consumption of primary and secondary energy, and calculate a spatialized full life cycle carbon emission data set for energy production and consumption that meets the pre-set quality assessment requirements; The module for calculating the spatial flow of carbon emissions in the whole life cycle of energy production and consumption: establishes a spatial flow tracking model for carbon emissions in the whole life cycle from primary energy to secondary energy in two stages of production and consumption, and from secondary energy in one stage of production and consumption, and calculates a data set of carbon emissions in the whole life cycle of energy production and consumption that meets the pre-set quality assessment requirements; Spatialized full life cycle carbon emissions and flow data module for energy production and consumption: Identify the system boundaries of accounting according to the accounting objects, determine the data source of the energy industry chain, calculate, integrate and manage the spatialized full life cycle carbon emissions data set of energy production and consumption and the spatialized full life cycle carbon emissions flow data set of energy production and consumption that meet the pre-set quality assessment requirements.

6. The method for tracking the spatial flow of carbon emissions in an energy industry chain according to claim 5 is characterized by: The spatialized full life cycle carbon emission calculation module includes: Spatial calculation and integration module of carbon emissions in the whole life cycle of energy production and consumption: Based on the spatial carbon emissions accounting model of the production and consumption of primary and secondary energy, the energy industry chain data set that meets the pre-set quality assessment requirements is input to calculate the initial spatial carbon emissions data set of energy production and consumption in the whole life cycle; Spatialized full life cycle carbon emission data verification module for energy production and consumption: used to verify the spatialized full life cycle carbon emission data set for energy production and consumption and prepare data verification reports; The spatialized full life cycle carbon emission data storage and management module for energy production and consumption: used to store and manage the spatialized full life cycle carbon emission data set for energy production and consumption that has been verified through data.

7. The method for tracking the spatial flow of carbon emissions in an energy industry chain according to claim 5 is characterized by: The full life cycle carbon emission spatial flow calculation module includes: Spatial flow identification module for carbon emissions in the whole life cycle of energy production and consumption: used to identify the flow characteristics of carbon emissions between different regions along the energy industry chain of primary energy production-secondary energy conversion-final energy consumption in different application scenarios; The module for calculating and integrating the spatial flow of carbon emissions in the whole life cycle of energy production and consumption: Based on the spatial flow tracking model of carbon emissions in the whole life cycle from primary energy to secondary energy and the first stage of secondary energy production and consumption, the module inputs the energy industry chain dataset that meets the pre-set quality assessment requirements and the spatial carbon emissions dataset of energy production and consumption in the whole life cycle, and calculates the initial spatial flow dataset of carbon emissions in the whole life cycle of energy production and consumption; Data verification module for the spatial flow direction of carbon emissions in the entire life cycle of energy production and consumption: Verify the spatial flow direction data set of carbon emissions in the entire life cycle of energy production and consumption, and prepare a data verification report; The module for storing and managing data on the spatial flow of carbon emissions during the entire life cycle of energy production and consumption is used to store and manage the data-verified spatial flow data set of carbon emissions during the entire life cycle of energy production and consumption.

8. The method for tracking the spatial flow of carbon emissions in an energy industry chain according to claim 5 is characterized by: The spatialized full life cycle carbon emission and flow data module includes: Energy industry chain data source definition module: identifies the system boundary of the accounting according to the accounting object and determines the energy industry chain data source; Energy industry chain data collection module: Based on the determined energy industry chain data source, collect energy production data, energy conversion data, energy consumption data, energy flow data and implicit carbon emission intensity data to form an initial energy industry chain data set; Energy industry chain data processing module: used to check the initial energy industry chain data set, convert the data into a unified format, and integrate the energy industry chain data set that meets the pre-set quality assessment requirements; The module for integrating and managing data on carbon emissions and flows in the spatial life cycle of energy production and consumption: It is used to integrate energy industry chain data sets that meet pre-set quality assessment requirements, data sets on carbon emissions in the spatial life cycle of energy production and consumption, and data sets on carbon emissions flows in the spatial life cycle of energy production and consumption, and integrate them to form a data set on carbon emissions and flows in the spatial life cycle of energy production and consumption; The module for publishing data on carbon emissions and flows of the spatial life cycle of energy production and consumption: used to publish the data set on carbon emissions and flows of the spatial life cycle of energy production and consumption; The spatialized full life cycle carbon emission and flow data update module of energy production and consumption is used to drive the energy industry chain data source definition module to update the energy industry chain data source according to data update requirements.

9. A processing device, characterized in that: It includes computer program instructions, wherein the computer program instructions, when executed by a processing device, are used to implement the method for tracking the spatial flow of carbon emissions in the energy industry chain as described in any one of claims 1-8.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer program instructions, wherein the computer program instructions, when executed by a processor, are used to implement the method for tracking the spatial flow of carbon emissions in the energy industry chain as described in any one of claims 1-8.

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