Energy consumption footprint calculation method, system and device

Abstract

The present invention discloses a method, system and device for calculating the energy consumption footprint, relating to the technical field of information management, including the steps of: constructing a multi-flow and multi-node footprint calculation model for energy consumption at the provincial scale, collecting data and calculating to form a spatially resolved life cycle footprint dataset of energy products at the provincial scale; on this basis, based on the footprint downscaling calculation technical framework, downscaling and expanding the multi-flow and multi-node footprint calculation model for energy consumption at the provincial scale to construct a multi-flow integrated footprint calculation model for energy consumption at the city scale, collecting data and calculating to form a spatially resolved life cycle footprint dataset of energy products at the city scale. By adopting the technical solution of the present invention, it is possible to take into account both the bottom-up and top-down perspectives, improve the accuracy and comprehensiveness of the energy product footprint calculation results, solve the problem of insufficient spatial resolution of the existing calculation methods, and be widely applied to the field of footprint calculation and evaluation of energy products.

Description

Technical Field

[0001] The present invention relates to the technical field of information management, and particularly relates to a method, system and device for calculating the energy consumption footprint. Background Art

[0002] As the core carrier of economic and social development and the basic unit of energy production and consumption, the development mode of cities directly affects the sustainability of the environment and resources. Promoting the low-carbon transformation of cities is not only a key path to address climate change and achieve energy conservation and emission reduction goals, but also an important measure to optimize the urban economic structure and improve the quality of life of residents. In this process, calculating the footprint of energy at the urban scale is a crucial basic task, which can provide data support for clarifying the urban energy consumption structure, identifying the main emission sources, and revealing potential emission reduction spaces. However, the current calculation of the energy product footprint at the urban scale faces many challenges. On the one hand, the energy product industrial chain is relatively long, involving multiple stages from primary energy production to secondary energy conversion and then to final energy consumption; on the other hand, China has a vast territory, an unbalanced industrial pattern, and a large difference in energy structure, with obvious spatial characteristics of the footprint. Therefore, it is necessary to carry out more accurate, comprehensive and refined calculations for the footprint of energy products.

[0003] As a systematic analysis tool, the life cycle assessment method is often used for footprint assessment of products, services or industries. However, the traditional life cycle assessment method is difficult to accurately depict the energy product footprint in space and is difficult to comprehensively understand the spatial distribution characteristics and spatial transfer characteristics of the energy product footprint from the consumption perspective. The international mainstream life cycle databases also have insufficient spatial resolution and are difficult to match the actual production and consumption levels of domestic cities.

[0004] Existing research has innovated a multi-flow and multi-node model based on the life cycle assessment method to achieve the spatial calculation of the product footprint. However, since this method relies on the actual trade data between regions and is restricted by data availability, the calculation can only be based on the industry or provincial scale, rather than distinguishing different types of energy products one by one, and it is difficult to be refined to the urban scale, with low spatial resolution, resulting in poor spatial calculation effect and low efficiency of energy products. Summary of the Invention

[0005] The purpose of the present invention is to address the above deficiencies of the existing technology and provide a method, system and device for calculating the energy consumption footprint, so as to solve the problem that in the existing technology, the input-output tables between multiple regions are based on departments as the basic unit, usually represented as aggregated data at the department scale, rather than distinguishing different types of energy products one by one, and it is difficult to be refined to below the department scale and unable to achieve the calculation at the product scale.

[0006] The present invention specifically provides the following technical solutions:

[0007] A method for accounting energy consumption footprint, comprising the following steps:

[0008] Obtain the production flow, consumption flow and embodied footprint intensity data of energy products at the provincial and urban scales, and obtain the transportation flow data of energy products at the provincial scale and the value flow data of the inter-city input-output table at the urban scale;

[0009] Construct the input-output balance relationship of primary energy products, and obtain the input-output balance relationship of secondary energy products through the output and conversion coefficient of the product consumption flow of primary energy at the provincial scale. Then, incorporate the embodied footprint intensity into the input-output balance relationships of primary and secondary energy products to obtain the input-output balance relationship of embodied footprint flow at the provincial scale; the input-output balance relationship of the energy products includes the balance relationship among the production flow, transportation flow and consumption flow;

[0010] Input the production flow, consumption flow, embodied footprint intensity and transportation flow data of energy products at the provincial scale into the input-output balance relationship of embodied footprint flow at the provincial scale, simulate and quantify the uncertainty of the accounting results. When the set quality assessment requirements are met, output the spatially explicit life cycle footprint dataset of energy products at the provincial scale;

[0011] Downscale and expand the input-output balance relationships of primary and secondary energy products and the input-output balance relationship of embodied footprint flow at the provincial scale through the inter-city input-output table to obtain the input-output balance relationship of embodied footprint flow at the urban scale;

[0012] Input the production flow, consumption flow, embodied footprint intensity and value flow data of energy products at the urban scale into the input-output balance relationship of embodied footprint flow at the urban scale, simulate and quantify the uncertainty of the accounting results. When the set quality assessment requirements are met, output the spatially explicit life cycle footprint dataset of energy products at the urban scale.

[0013] Preferably, the constructing the input-output balance relationship of primary energy products, and obtaining the input-output balance relationship of secondary energy products through the output and conversion coefficient of the product consumption flow of primary energy at the provincial scale, and then incorporating the embodied footprint intensity into the input-output balance relationships of primary and secondary energy products to obtain the input-output balance relationship of embodied footprint flow at the provincial scale includes:

[0014] Construct the input-output balance relationship of primary energy products, and obtain the input-output balance relationship of secondary energy products through the output and conversion coefficient of the product consumption flow of primary energy at the provincial scale. The specific expression is:

[0015]

[0016] Wherein, Pm,i is the input of the production flow of primary energy products within the \(i\)-th province; \(t\) f,ji is the input of the transportation flow of primary energy products from the \(j\)-th province to the \(i\)-th province; \(V\) m,i is the output of the consumption flow of primary energy products within the \(i\)-th province; \(t\) f,ij is the output of the transportation flow of primary energy products from the \(i\)-th province to the \(j\)-th province; \(S\) p,i is the input of the production flow of secondary energy products within the \(i\)-th province; \(t\) o,ji is the input of the transportation flow of secondary energy products from the \(j\)-th province to the \(i\)-th province; \(C\) p,i is the output of the consumption flow of secondary energy products within the \(i\)-th province; \(t\) o,ij is the output of the transportation flow of secondary energy products from the \(i\)-th province to the \(j\)-th province; \(α\) i is the conversion efficiency of converting primary energy into secondary energy within the \(i\)-th province;

[0017] By incorporating the implicit footprint intensity into the input-output balance equations of primary energy products and secondary energy products, the input-output balance relationship of implicit footprint flow at the provincial scale is obtained. The specific expression is:

[0018]

[0019] In the formula, \(CF\) m,i is the implicit footprint intensity of the input of the production flow of primary energy products within the \(i\)-th province; \(CF\) f,j is the implicit footprint intensity of the input of the transportation flow of primary energy products from the \(j\)-th province to the \(i\)-th province; \(CF\) vt,i is the implicit footprint intensity of the output of the consumption flow of primary energy products within the \(i\)-th province; \(CF\) s,i is the implicit footprint intensity of the input of the production flow of secondary energy products within the \(i\)-th province; \(CF\) o,j is the implicit footprint intensity of the input of the transportation flow of secondary energy products from the \(j\)-th province to the \(i\)-th province; \(CF\) ct,i is the implicit footprint intensity of the output of the consumption flow of secondary energy products within the \(i\)-th province.

[0020] Preferably, when the production flow, consumption flow, implicit footprint intensity, and transportation flow data of energy products at the provincial scale are input into the input-output balance relationship of implicit footprint flow at the provincial scale to simulate and quantify the uncertainty of the accounting results, and meet the set quality assessment requirements, a spatialized life cycle footprint dataset of energy products at the provincial scale is output, including:

[0021] According to the accounting object, identify the system boundary of the accounting and determine the data source of the energy product footprint;

[0022] According to the determined data sources of energy product footprints, collect energy production data, energy conversion data, energy consumption data, energy flow data, and implicit footprint intensity data to form an initial energy product footprint dataset;

[0023] Take the input-output balance relationship of energy products at the provincial level and the input-output balance relationship of implicit footprint flows at the provincial level as the energy consumption multi-flow multi-node footprint accounting model at the provincial level;

[0024] Check the initial energy product footprint data and convert it into a unified data format, input it into the energy consumption multi-flow multi-node footprint accounting model at the provincial level, and quantify the uncertainty of the accounting results through Monte Carlo simulation. If the pre-set quality assessment requirements are not met, re-identify; otherwise, proceed to the next step;

[0025] Integrate the energy product footprint data that meets the pre-set quality assessment requirements to form a spatially explicit life cycle footprint dataset of energy products at the provincial level.

[0026] Preferably, the input-output balance relationship of primary energy products and secondary energy products at the provincial level and the input-output balance relationship of implicit footprint flows at the provincial level are downscaled and extended through the inter-city input-output table to obtain the input-output balance relationship of implicit footprint flows at the city level, including:

[0027] Combine the inter-city input-output table as proxy data to downscale and extend the energy consumption multi-flow multi-node footprint accounting model at the provincial level, and refine the flows between provinces into flows between cities within the province - between cities within the province and flows between other provinces - cities within the province;

[0028] Based on the production flow, transportation flow, and consumption flow of energy products, establish the input-output balance relationship of product flows at the city level for primary energy production - secondary energy conversion and secondary energy conversion - final energy consumption;

[0029] Based on the input-output balance relationship of product flows at the city level of energy products, establish the input-output balance relationship of implicit footprint flows at the city level for primary energy production - secondary energy conversion and secondary energy conversion - final energy consumption.

[0030] Preferably, the establishment of the input-output balance relationship of product flows at the city level for primary energy production - secondary energy conversion and secondary energy conversion - final energy consumption is specifically:

[0031]

[0032] In the formula, P m,ik is the input of the product production flow of primary energy within the kth city of the ith province; t f,ilkThe input of the product transportation flow of primary energy from the l-th city to the k-th city in the i-th province or region; t f,jik The input of the product transportation flow of primary energy from the j-th province or region to the k-th city in the i-th province or region; V m,ik The output of the product consumption flow of primary energy in the k-th city of the i-th province or region; t f,ikl The output of the product transportation flow of primary energy from the k-th city to the l-th city in the i-th province or region; t f,ikj The output of the product transportation flow of primary energy from the k-th city in the i-th province or region to the j-th province or region; S p,ik The input of the product production flow of secondary energy in the k-th city of the i-th province or region; t o,ilk The input of the product transportation flow of secondary energy from the l-th city to the k-th city in the i-th province or region; t o,jik The input of the product transportation flow of secondary energy from the j-th province or region to the k-th city in the i-th province or region; C p,ik The output of the product consumption flow of secondary energy in the k-th city of the i-th province or region; t o,ikl The output of the product transportation flow of secondary energy from the k-th city to the l-th city in the i-th province or region; t o,ikj The output of the product transportation flow of secondary energy from the k-th city in the i-th province or region to the j-th province or region; β ik The conversion efficiency of primary energy into secondary energy in the k-th city of the i-th province or region.

[0033] Preferably, downscaling and expanding the multi-flow and multi-node footprint accounting model of energy consumption at the provincial scale by using the input-output table between cities as proxy data includes:

[0034] Downscaling and expanding the multi-flow and multi-node footprint accounting model of energy consumption at the provincial scale by using the input-output table between cities as proxy data, that is, specifically performing downscaling calculations for the parameters t f,ilk 、t f,jik 、t f,ikl 、t f,ikj and t o,ilk 、t o,jik 、t o,ikl 、t o,ikj The specific calculation method is as follows:

[0035]

[0036] In the formula, U f,ilk is the input of the economic value flow from the primary energy production department in the l-th city of the i-th province or region to the secondary energy conversion department in the k-th city; U f,jik is the input of the economic value flow from the primary energy production department in the j-th province or region to the secondary energy conversion department in the k-th city of the i-th province or region; tf,ii is the input / output of the product transportation flow of primary energy within the \(i\)-th provincial region; \(U\) f,ikl is the output of the economic value flow from the primary energy production department in the \(k\)-th city to the secondary energy conversion department in the \(l\)-th city within the \(i\)-th provincial region; \(U\) f,ikj is the output of the economic value flow from the primary energy production department in the \(k\)-th city of the \(i\)-th provincial region to the secondary energy conversion department in the \(j\)-th provincial region; \(U\) o,ilk is the input of the economic value flow from the secondary energy conversion department in the \(l\)-th city to the final energy consumption department in the \(k\)-th city within the \(i\)-th provincial region; \(U\) o,jik is the input of the economic value flow from the secondary energy conversion department in the \(j\)-th provincial region to the final energy consumption department in the \(k\)-th city of the \(i\)-th provincial region; \(t\) o,ii is the input / output of the product transportation flow of secondary energy within the \(i\)-th provincial region; \(U\) o,ikl is the output of the economic value flow from the secondary energy conversion department in the \(k\)-th city to the final energy consumption department in the \(l\)-th city within the \(i\)-th provincial region; \(U\) o,ikj is the output of the economic value flow from the secondary energy conversion department in the \(k\)-th city of the \(i\)-th provincial region to the final energy consumption department in the \(j\)-th provincial region.

[0037] Preferably, the input / output balance relationship of the implicit footprint flow at the urban scale for primary energy production - secondary energy conversion and secondary energy conversion - final energy consumption is:

[0038]

[0039] In the formula, \(CF\) m,ik is the implicit footprint intensity of the input of the product production flow of primary energy within the \(k\)-th city of the \(i\)-th provincial region; \(CF\) f,ik is the implicit footprint intensity of the input of the product transportation flow of primary energy from the \(l\)-th city to the \(k\)-th city within the \(i\)-th provincial region; \(CF\) vt,ik is the implicit footprint intensity of the output of the product consumption flow of primary energy within the \(k\)-th city of the \(i\)-th provincial region; \(CF\) s,ik is the implicit footprint intensity of the input of the product production flow of secondary energy within the \(k\)-th city of the \(i\)-th provincial region; \(CF\) o,ik is the implicit footprint intensity of the input of the product transportation flow of secondary energy from the \(l\)-th city to the \(k\)-th city within the \(i\)-th provincial region; \(CF\) ct,ik is the implicit footprint intensity of the output of the product consumption flow of secondary energy within the \(k\)-th city of the \(i\)-th provincial region.

[0040] Preferably, input the production flow, consumption flow, embodied footprint intensity, and value flow data of urban-scale energy products into the input-output balance relationship of the urban-scale embodied footprint flow to simulate and quantify the uncertainty of the accounting results. When the set quality assessment requirements are met, output the spatially explicit life cycle footprint dataset of urban-scale energy products, including:

[0041] According to the accounting object, identify the system boundary of the accounting and determine the data sources of the energy product footprint.

[0042] According to the determined data sources of the energy product footprint, collect energy production data, energy conversion data, energy consumption data, value flow data of the input-output table between cities, and embodied footprint intensity data to form an initial energy product footprint dataset.

[0043] Take the input-output balance relationship of primary energy products and secondary energy products at the urban scale and the input-output balance relationship of the urban-scale embodied footprint flow as the multi-flow integrated footprint accounting model of urban-scale energy consumption.

[0044] Check the initial energy product footprint data and convert it into a unified data format, input it into the multi-flow integrated footprint accounting model of urban-scale energy consumption, and quantify the uncertainty of the accounting results through Monte Carlo simulation. If the pre-set quality assessment requirements are not met, re-identify and re-determine the data sources of the energy product footprint, otherwise proceed to the next step.

[0045] Integrate the energy product footprint data that meets the pre-set quality assessment requirements to form a spatially explicit life cycle footprint dataset of urban-scale energy products.

[0046] The present invention provides an accounting system for energy consumption footprint, including:

[0047] A collection module for obtaining the production flow, consumption flow, and embodied footprint intensity data of energy products at the provincial and urban scales, and obtaining the transportation flow data of energy products at the provincial scale and the value flow data of the input-output table between cities at the urban scale.

[0048] An analysis module for constructing the input-output balance relationship of primary energy products, obtaining the input-output balance relationship of secondary energy products through the output and conversion coefficients of the product consumption flow of primary energy at the provincial scale, and then incorporating the embodied footprint intensity into the input-output balance relationship of primary energy products and secondary energy products to obtain the input-output balance relationship of the embodied footprint flow at the provincial scale; the input-output balance relationship of the energy product includes the balance relationship between the production flow, transportation flow, and consumption flow.

[0049] The provincial-scale accounting module is used to input the production flow, consumption flow, embodied footprint intensity, and transportation flow data of energy products at the provincial scale into the input-output balance relationship of the embodied footprint flow at the provincial scale, simulate and quantify the uncertainty of the accounting results, and output the spatially explicit life cycle footprint dataset of energy products at the provincial scale when the set quality assessment requirements are met;

[0050] The downscaling module is used to downscale and expand the input-output balance relationship of primary energy products and secondary energy products at the provincial scale and the input-output balance relationship of the embodied footprint flow at the provincial scale through the inter-city input-output table to obtain the input-output balance relationship of the embodied footprint flow at the city scale;

[0051] The city-scale accounting module is used to input the production flow, consumption flow, embodied footprint intensity, and value flow data of energy products at the city scale into the input-output balance relationship of the embodied footprint flow at the city scale, simulate and quantify the uncertainty of the accounting results, and output the spatially explicit life cycle footprint dataset of energy products at the city scale when the set quality assessment requirements are met.

[0052] The present invention provides a computer device, including a memory and a processor. A program is stored in the memory, and when the program is executed by the processor, the processor executes the steps of the above-mentioned accounting method for energy consumption footprint.

[0053] Compared with the prior art, the present invention has the following remarkable advantages:

[0054] According to the various data of energy products at the provincial scale and the city scale, the present invention obtains the input-output equation of secondary energy products through the input-output of primary energy products, and obtains the input-output equation of the embodied footprint at the provincial scale, which can identify the spatial distribution characteristics of the embodied footprint and trace the spatial transfer characteristics of the footprint along the industrial chain from the perspectives of both production and consumption. At the same time, through the downscaling and expansion of the input-output equation of the embodied footprint at the provincial scale, the spatial resolution of the energy product footprint accounting can be refined from the provincial scale to the city scale, and the accuracy of the footprint accounting can be refined from the energy sector scale to the energy product scale. After downscaling, the input-output balance relationship of the embodied footprint flow at the city scale is used to output the spatially explicit life cycle footprint dataset of energy products. Through the above operations, the present invention can take into account both the bottom-up and top-down perspectives, improve the accuracy and comprehensiveness of the energy product footprint accounting results, solve the problem of insufficient spatial resolution of the existing accounting methods, and improve the accuracy of the embodied footprint accounting based on the data correction of the actual trade flow of energy products compared with the value flow data of the initially obtained input-output table, and can quickly realize the spatial accounting of energy product footprints at multiple scales. Description of the Drawings

[0055] Figure 1This is the overall flowchart of a method for calculating the energy consumption footprint of the present invention. Detailed implementation mode

[0056] Combined with the accompanying drawings in the present invention below, the technical solutions of the embodiments of the present invention are described clearly and completely. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative work shall fall within the scope of protection of the present invention.

[0057] The top-down footprint accounting method represented by the input-output table also has limited applicability. On the one hand, the input-output table method mostly uses inter-regional economic value data to proxy actual product flow data, resulting in problems such as data distortion, missing or lag, which affect the accuracy and reliability of the method.

[0058] As Figure 1 shown, a method for calculating the energy consumption footprint provided by the present invention is described below, which specifically includes the following steps:

[0059] Step S1: Obtain the production flow, consumption flow, and implicit footprint intensity data of energy products at the provincial and urban scales, and obtain the transportation flow data of energy products at the provincial scale and the value flow data of the input-output table between cities at the urban scale.

[0060] Among them, the energy product footprint data includes data integrating energy production data, energy conversion data, energy consumption data, energy flow data, and implicit footprint intensity data, and uses the input-output table between cities as proxy data.

[0061] Step S2: Construct the input-output balance relationship of primary energy products, and obtain the input-output balance relationship of secondary energy products through the product consumption flow output and conversion coefficient of primary energy at the provincial scale. Then, incorporate the implicit footprint intensity into the input-output balance relationship of primary energy products and secondary energy products to obtain the input-output balance relationship of implicit footprint flow at the provincial scale; the input-output balance relationship of energy products includes the balance relationship among production flow, transportation flow, and consumption flow. It includes:

[0062] Construct the input-output balance relationship of primary energy products, and obtain the input-output balance relationship of secondary energy products through the product consumption flow output and conversion coefficient of primary energy at the provincial scale. The specific expression is:

[0063]

[0064] Among them, P m,i is the input of the product production flow of primary energy in the i-th province; t f,jiThe input of the product transportation flow of primary energy from the j-th provincial region to the i-th provincial region; V m,i The output of the product consumption flow of primary energy in the i-th provincial region; t f,ij The output of the product transportation flow of primary energy from the i-th provincial region to the j-th provincial region; S p,i The input of the product production flow of secondary energy in the i-th provincial region; t o,ji The input of the product transportation flow of secondary energy from the j-th provincial region to the i-th provincial region; C p,i The output of the product consumption flow of secondary energy in the i-th provincial region; t o,ij The output of the product transportation flow of secondary energy from the i-th provincial region to the j-th provincial region; α i The conversion efficiency of primary energy into secondary energy in the i-th provincial region.

[0065] Incorporate the implicit footprint intensity into the input-output balance equations of primary energy products and secondary energy products to obtain the input-output balance relationship of implicit footprint flows at the provincial scale. The specific expression is:

[0066]

[0067] In the formula, CF m,i The implicit footprint intensity of the input of the product production flow of primary energy in the i-th provincial region; CF f,j The implicit footprint intensity of the input of the product transportation flow of primary energy from the j-th provincial region to the i-th provincial region; CF vt,i The implicit footprint intensity of the output of the product consumption flow of primary energy in the i-th provincial region; CF s,i The implicit footprint intensity of the input of the product production flow of secondary energy in the i-th provincial region; CF o,j The implicit footprint intensity of the input of the product transportation flow of secondary energy from the j-th provincial region to the i-th provincial region; CF ct,i The implicit footprint intensity of the output of the product consumption flow of secondary energy in the i-th provincial region.

[0068] Step S3: Input the production flow, consumption flow, implicit footprint intensity, and transportation flow data of energy products at the provincial scale into the input-output balance relationship of implicit footprint flows at the provincial scale, simulate and quantify the uncertainty of the accounting results. When the set quality assessment requirements are met, output the spatially explicit life cycle footprint dataset of energy products at the provincial scale. It includes:

[0069] According to the accounting object, identify the system boundary of the accounting and determine the data sources of the energy product footprint.

[0070] According to the determined data sources of the energy product footprint, collect energy production data, energy conversion data, energy consumption data, energy flow data, and implicit footprint intensity data to form an initial energy product footprint dataset.

[0071] Take the input-output balance relationship of primary energy products and secondary energy products at the provincial level and the input-output balance relationship of embodied footprint flows at the provincial level as the multi-flow and multi-node footprint accounting model of energy consumption at the provincial level.

[0072] Check the initial energy product footprint data and convert it into a unified data format, input it into the multi-flow and multi-node footprint accounting model of energy consumption at the provincial level, and quantify the uncertainty of the accounting results through Monte Carlo simulation. If the pre-set quality assessment requirements are not met, re-identify; otherwise, proceed to the next step.

[0073] Integrate the energy product footprint data that meets the pre-set quality assessment requirements to form a spatially explicit life cycle footprint dataset of energy products at the provincial level.

[0074] Step S4: Downscale and expand the input-output balance relationship of primary energy products and secondary energy products at the provincial level and the input-output balance relationship of embodied footprint flows at the provincial level through the inter-city input-output table to obtain the input-output balance relationship of primary energy products and secondary energy products and the input-output balance relationship of embodied footprint flows at the city level.

[0075] Combine the inter-city input-output table as proxy data to downscale and expand the multi-flow and multi-node footprint accounting model of energy consumption at the provincial level, and refine the flows between provinces into flows between cities within the province - between cities within the province and flows between other provinces - cities within the province.

[0076] Based on the production flow, transportation flow, and consumption flow of energy products, establish the input-output balance relationship of product flows for primary energy production - secondary energy conversion and secondary energy conversion - final energy consumption at the city level.

[0077] Based on the input-output balance relationship of product flows of energy products at the city level, establish the input-output balance relationship of embodied footprint flows for primary energy production - secondary energy conversion and secondary energy conversion - final energy consumption at the city level.

[0078] Among them, establishing the input-output balance relationship of product flows for primary energy production - secondary energy conversion and secondary energy conversion - final energy consumption at the city level specifically means:

[0079]

[0080] In the formula, P m,ik is the input of the product production flow of primary energy within the kth city of the ith province; t f,ilk is the input of the product transportation flow of primary energy from the lth city to the kth city within the ith province; t f,jikThe input of the product transportation flow of primary energy from the j-th provincial region to the k-th city in the i-th provincial region; V m,ik The output of the product consumption flow of primary energy in the k-th city of the i-th provincial region; t f,ikl The output of the product transportation flow of primary energy from the k-th city to the l-th city in the i-th provincial region; t f,ikj The output of the product transportation flow of primary energy from the k-th city in the i-th provincial region to the j-th provincial region; S p,ik The input of the product production flow of secondary energy in the k-th city of the i-th provincial region; t o,ikl The input of the product transportation flow of secondary energy from the l-th city to the k-th city in the i-th provincial region; t o,jik The input of the product transportation flow of secondary energy from the j-th provincial region to the k-th city in the i-th provincial region; C p,ik The output of the product consumption flow of secondary energy in the k-th city of the i-th provincial region; t o,ikl The output of the product transportation flow of secondary energy from the k-th city to the l-th city in the i-th provincial region; t o,ikj The output of the product transportation flow of secondary energy from the k-th city in the i-th provincial region to the j-th provincial region; β ik The conversion efficiency of primary energy into secondary energy in the k-th city of the i-th provincial region.

[0081] Combining the input-output table between cities as proxy data to downscale and expand the multi-flow and multi-node footprint accounting model of energy consumption at the provincial scale, including:

[0082] Downscaling and expanding the multi-flow and multi-node footprint accounting model of energy consumption at the provincial scale by combining the input-output table between cities as proxy data, specifically for the parameter t f,ilk 、t f,jik 、t f,ikl 、t f,ikj and t o,ilk 、t o,jik 、t o,ikl 、t o,ikj Perform downscaling calculations, and the specific calculation method is:

[0083]

[0084] In the formula, U f,ilk The input of the economic value flow from the primary energy production department in the l-th city to the secondary energy conversion department in the k-th city of the i-th provincial region; U f,jik The input of the economic value flow from the primary energy production department in the j-th provincial region to the secondary energy conversion department in the k-th city of the i-th provincial region; t f,ii The input / output of the product transportation flow of primary energy within the i-th provincial region; U f,iklThe economic value flow output from the primary energy production department in the k-th city of the i-th province to the secondary energy conversion department in the l-th city; U f,ikj The economic value flow output from the primary energy production department in the k-th city of the i-th province to the secondary energy conversion department in the j-th province; U o,ilk The economic value flow input from the secondary energy conversion department in the l-th city of the i-th province to the final energy consumption department in the k-th city; U o,jik The economic value flow input from the secondary energy conversion department in the j-th province to the final energy consumption department in the k-th city of the i-th province; t o,ii The product transportation flow input / output of secondary energy within the i-th province; U o,ikl The economic value flow output from the secondary energy conversion department in the k-th city of the i-th province to the final energy consumption department in the l-th city; U o,ikj The economic value flow output from the secondary energy conversion department in the k-th city of the i-th province to the final energy consumption department in the j-th province.

[0085] The input / output balance relationship equation of the implicit footprint flow for primary energy production-secondary energy conversion and secondary energy conversion-final energy consumption at the city scale is:

[0086]

[0087] In the formula, CF m,ik is the implicit footprint intensity of the product production flow input of primary energy within the k-th city of the i-th province; CF f,ik is the implicit footprint intensity of the product transportation flow input of primary energy from the l-th city to the k-th city within the i-th province; CF vt,ik is the implicit footprint intensity of the product consumption flow output of primary energy within the k-th city of the i-th province; CF s,ik is the implicit footprint intensity of the product production flow input of secondary energy within the k-th city of the i-th province; CF o,ik is the implicit footprint intensity of the product transportation flow input of secondary energy from the l-th city to the k-th city within the i-th province; CF ct,ik is the implicit footprint intensity of the product consumption flow output of secondary energy within the k-th city of the i-th province.

[0088] Step S5: Input the production flow, consumption flow, implicit footprint intensity, and value flow data of energy products at the city scale into the input / output balance relationship of the implicit footprint flow at the city scale, simulate and quantify the uncertainty of the accounting results, and output the spatialized life cycle footprint dataset of energy products at the city scale when meeting the set quality assessment requirements.

[0089] Identify the system boundary of the accounting according to the accounting object and determine the data source of the energy product footprint.

[0090] According to the determined data sources of energy product footprints, collect energy production data, energy conversion data, energy consumption data, value flow data of input-output tables among cities, and implicit footprint intensity data to form an initial energy product footprint dataset.

[0091] Take the input-output balance relationship of primary energy products and secondary energy products at the city scale and the input-output balance relationship of implicit footprint flows at the city scale as the multi-flow integrated footprint accounting model of energy consumption at the city scale.

[0092] Check the initial energy product footprint data and convert it into a unified data format, input it into the multi-flow integrated footprint accounting model of energy consumption at the city scale, and quantify the uncertainty of the accounting results through Monte Carlo simulation. If the pre-set quality assessment requirements are not met, re-identify and re-determine the data sources of energy product footprints, otherwise proceed to the next step.

[0093] Integrate the energy product footprint data that meets the pre-set quality assessment requirements to form a spatially resolved life cycle footprint dataset of energy products at the city scale.

[0094] When obtaining the accounting results, calculate the unknown parameters according to the known parameters through the input-output balance formula of energy products (for example, when production data and transportation data are known, the product consumption flow data can be obtained); based on the above calculation results, calculate the unknown parameters according to the known parameters through the input-output balance formula of implicit footprint flows (for example, when the implicit footprint flow intensity data of product production is known, the implicit footprint flow intensity of product consumption can be obtained).

[0095] Based on the above method, the present invention provides an accounting system for energy consumption footprints, including: a collection module, an analysis module, a provincial-scale accounting module, a downscaling module, and a city-scale accounting module.

[0096] Among them, the acquisition module is used to obtain the production flow, consumption flow, and embodied footprint intensity data of energy products at the provincial and urban scales, and obtain the transportation flow data of energy products at the provincial scale and the value flow data of the inter-city input-output table at the urban scale; the analysis module is used to construct the input-output balance relationship of primary energy products, and through the product consumption flow output and conversion coefficient of primary energy at the provincial scale, obtain the input-output balance relationship of secondary energy products, and then incorporate the embodied footprint intensity into the input-output balance relationship of primary energy products and secondary energy products to obtain the input-output balance relationship of embodied footprint flow at the provincial scale; the input-output balance relationship of energy products includes the balance relationship among the production flow, transportation flow, and consumption flow; the provincial scale accounting module is used to input the production flow, consumption flow, embodied footprint intensity, and transportation flow data of energy products at the provincial scale into the input-output balance relationship of embodied footprint flow at the provincial scale, simulate and quantify the uncertainty of the accounting results, and when the set quality assessment requirements are met, output the spatialized life cycle footprint dataset of energy products at the provincial scale; the downscaling module is used to downscale and expand the input-output balance relationship of primary energy products and secondary energy products at the provincial scale and the input-output balance relationship of embodied footprint flow at the provincial scale through the inter-city input-output table to obtain the input-output balance relationship of embodied footprint flow at the urban scale; the urban scale accounting module is used to input the production flow, consumption flow, embodied footprint intensity, and value flow data of energy products at the urban scale into the input-output balance relationship of embodied footprint flow at the urban scale, simulate and quantify the uncertainty of the accounting results, and when the set quality assessment requirements are met, output the spatialized life cycle footprint dataset of energy products at the urban scale.

[0097] The present invention also provides a computer device, including a memory and a processor. When a program stored in the memory is executed by the processor, the processor executes the steps of a method for accounting energy consumption footprint.

[0098] According to the disclosed embodiments, the computer device can communicate with one or more external devices (such as a keyboard, a pointing device, Bluetooth communication, etc.), or communicate with any device (such as a router, a demodulator, etc.) that enables the computing device to communicate with one or more other computing devices.

[0099] The present invention also provides a storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of a method for accounting energy consumption footprint are implemented.

[0100] According to the disclosed embodiments, the storage medium may be a non-volatile computer-readable storage medium, which may include, for example, but not limited to: portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the above. In the present invention, the storage medium may be any tangible medium that contains or stores a program, which can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0101] The above content is a further detailed description of the present invention in combination with specific preferred embodiments. For those skilled in the art of the present invention, without departing from the concept of the present invention, several simple deductions or substitutions can be made, which should all be regarded as belonging to the protection scope of the present invention.

Claims

1. A method for calculating energy consumption footprint, characterized in that: include: Obtain the production flow, consumption flow and implicit footprint intensity data of energy products at the provincial and city scales, as well as the transportation flow data of energy products at the provincial and city scales and the value flow data of the input-output table between cities at the city scale; Construct the input-output balance relationship of primary energy products, and obtain the input-output balance relationship of secondary energy products through the product consumption flow output and conversion coefficient of primary energy at the provincial scale, and then incorporate the implicit footprint intensity into the input-output balance relationship of primary energy products and secondary energy products to obtain the implicit footprint flow input-output balance relationship at the provincial scale; the input-output balance relationship of energy products includes the balance relationship between production flow, transportation flow and consumption flow; Input the production flow, consumption flow, implicit footprint intensity and transportation flow data of energy products at the provincial scale into the implicit footprint flow input-output balance relationship at the provincial scale, simulate the uncertainty of the quantitative accounting results, and output the spatial life cycle footprint dataset of energy products at the provincial scale when the set quality assessment requirements are met; The input-output balance relationship of primary energy products and secondary energy products and the input-output balance relationship of implicit footprint flow at the provincial scale are downscaled and expanded through the inter-city input-output table to obtain the implicit footprint flow input-output balance relationship at the city scale; The production flow, consumption flow, implicit footprint intensity and value flow data of urban-scale energy products are input into the implicit footprint flow input-output balance relationship at the urban scale to simulate the uncertainty of the quantitative accounting results. When the set quality assessment requirements are met, the spatial life cycle footprint dataset of urban-scale energy products is output.

2. The method for calculating energy consumption footprint according to claim 1, characterized in that: The input-output balance relationship of primary energy products is constructed, and the input-output balance relationship of secondary energy products is obtained through the product consumption flow output and conversion coefficient of primary energy at the provincial scale, and then the implicit footprint intensity is incorporated into the input-output balance relationship of primary energy products and secondary energy products to obtain the implicit footprint flow input-output balance relationship at the provincial scale, including: The input-output balance relationship of primary energy products is constructed, and the input-output balance relationship of secondary energy products is obtained through the product consumption flow output and conversion coefficient of primary energy at the provincial scale. The specific expression is: Among them, P m，i is the product production flow input of primary energy in the i-th province; t f，ji V is the product transport flow input of primary energy from the jth province to the ith province; m，i is the product consumption flow output of primary energy in the i-th province; t f，ij is the product transport flow output of primary energy from the i-th province to the j-th province; S p，i is the product production flow input of secondary energy in the i-th province; t o，ji is the product transport flow input of secondary energy from the jth province to the ith province; C p，i is the product consumption flow output of secondary energy in the ith province; t o,ij is the product transportation flow output of secondary energy from the i-th province to the j-th province; α i is the conversion efficiency of primary energy into secondary energy after processing in the i-th province; The implicit footprint intensity is incorporated into the input-output balance equation of primary energy products and secondary energy products to obtain the input-output balance relationship of the implicit footprint flow at the provincial scale. The specific expression is: Where, CF m，i is the implicit footprint intensity of the primary energy product production flow input in the i-th province; CF f，j CF is the implicit footprint intensity of the product transportation flow of primary energy from the jth province to the ith province; vt，i is the implicit footprint intensity of the product consumption flow output of primary energy in the i-th province; CF s，i is the implicit footprint intensity of the secondary energy product production flow input in the i-th province; CF o，j CF is the implicit footprint intensity of the product transportation flow from the jth province to the ith province for secondary energy; ct，i is the implicit footprint intensity of the secondary energy product consumption flow output in the i-th province.

3. The method for calculating energy consumption footprint according to claim 1, characterized in that: The production flow, consumption flow, implicit footprint intensity and transportation flow data of energy products at the provincial scale are input into the implicit footprint flow input-output balance relationship at the provincial scale, and the uncertainty of the quantitative accounting results is simulated. When the set quality assessment requirements are met, the spatial life cycle footprint dataset of energy products at the provincial scale is output, including: According to the accounting object, identify the accounting system boundary and determine the energy product footprint data source; According to the determined energy product footprint data source, collect energy production data, energy conversion data, energy consumption data, energy flow data and implicit footprint intensity data to form an initial energy product footprint data set; The energy product input-output balance relationship at the provincial scale and the implicit footprint flow input-output balance relationship at the provincial scale are used as the multi-flow and multi-node footprint accounting model of energy consumption at the provincial scale. The initial energy product footprint data is checked and converted into a unified data format, and then input into the provincial-level energy consumption multi-flow and multi-node footprint accounting model. The uncertainty of the accounting results is quantified through Monte Carlo simulation. If the pre-set quality assessment requirements are not met, the data is re-identified, otherwise the next step is carried out. Integrate energy product footprint data that meets pre-set quality assessment requirements to form a spatial life cycle footprint dataset of energy products at the provincial scale.

4. The method for calculating energy consumption footprint according to claim 1, characterized in that: The step of downscaling and expanding the input-output balance relationship of the primary energy products and the secondary energy products at the provincial scale and the implicit footprint flow input-output balance relationship through the inter-city input-output table to obtain the implicit footprint flow input-output balance relationship at the city scale includes: The multi-flow and multi-node footprint accounting model of energy consumption at the provincial scale is downscaled and expanded by combining the input-output table between cities as proxy data, and the flow between provinces is refined into the flow between cities in the province and the flow between cities in other provinces. Based on the production flow, transportation flow and consumption flow of energy products, establish the product flow input-output balance relationship between primary energy production-secondary energy conversion and secondary energy conversion-final energy consumption at the city scale; Based on the product flow input-output balance relationship of energy products at the urban scale, the implicit footprint flow input-output balance relationship of primary energy production-secondary energy conversion and secondary energy conversion-final energy consumption at the urban scale is established.

5. The method for calculating energy consumption footprint according to claim 4, characterized in that: The establishment of the product flow input-output balance relationship between primary energy production-secondary energy conversion and secondary energy conversion-final energy consumption at the city scale is specifically as follows: Where P m，ik is the product production flow input of primary energy in the k-th city in the i-th province; t f，ilk The product transport flow input of primary energy from the lth city to the kth city in the i-th province; t f，jik V is the product transport flow input of primary energy from the jth province to the kth city in the ith province; m，ik is the product consumption flow output of primary energy in the k-th city in the ith province; t f，ikl is the product transport flow output of primary energy from the kth city to the lth city in the ith province; t f,ikj is the product transport flow output of primary energy from the kth city in the i-th province to the j-th province; S p，ik is the product production flow input of secondary energy in the k-th city in the i-th province; t o,ilk The product transport flow input of secondary energy from the lth city to the kth city in the i-th province; t o，jik is the product transport flow input of secondary energy from the jth province to the kth city in the ith province; C p，ik is the product consumption flow output of secondary energy in the k-th city in the ith province; t o,ikl is the product transportation flow output of secondary energy from the kth city to the lth city in the ith province; t o,ikj It is the product transportation flow output of secondary energy from the k-th city in the i-th province to the j-th province; β ik It is the conversion efficiency of primary energy into secondary energy in the k-th city in the ith province.

6. The method for calculating energy consumption footprint according to claim 4, characterized in that: The above-mentioned method combines the input-output table between cities as proxy data to downscale and expand the multi-flow and multi-node footprint accounting model of energy consumption at the provincial scale, including: The multi-flow and multi-node footprint accounting model of energy consumption at the provincial scale is downscaled and expanded by combining the input-output table between cities as proxy data, that is, specifically for the parameter t f，ilk ,t f,jik ,t f，ikl ,t f，ikj and t o，ilk ,t o，jik ,t o，ikl ,t o，ikj The downscaling calculation is performed, and the specific calculation method is as follows: Where U f，ilk is the economic value flow input from the primary energy production sector of the lth city to the secondary energy conversion sector of the kth city in the ith province; U f，jik is the economic value flow input from the primary energy production sector of the jth province to the secondary energy conversion sector of the kth city in the ith province; t f，ii is the product transport flow input / output of primary energy from the ith province to the ith province; U f,ikl is the economic value flow output from the primary energy production sector of the kth city to the secondary energy conversion sector of the lth city in the ith province; U f，ikj is the economic value flow output from the primary energy production sector of the k-th city in the i-th province to the secondary energy conversion sector in the j-th province; U o，ilk is the economic value flow input from the secondary energy conversion sector of the lth city to the final energy consumption sector of the kth city in the ith province; U l，jik is the economic value flow input from the secondary energy conversion sector in the jth province to the final energy consumption sector in the kth city in the ith province; t o,ii is the product transport flow input / output of secondary energy from the ith province to the ith province; U o，ikl is the economic value flow output from the secondary energy conversion sector of the kth city to the final energy consumption sector of the lth city in the ith province; U o，ikj It is the economic value flow output from the secondary energy conversion sector of the k-th city in the ith province to the final energy consumption sector in the j-th province.

7. The method for calculating energy consumption footprint according to claim 4, characterized in that: The implicit footprint flow input-output balance relationship of primary energy production-secondary energy conversion and secondary energy conversion-final energy consumption at the urban scale is: Where, CF m，ik is the implicit footprint intensity of the primary energy product production flow input in the k-th city in the ith province; CF f，ik CF is the implicit footprint intensity of the product transportation flow of primary energy from the lth city to the kth city in the i-th province; vt,ik is the implicit footprint intensity of the primary energy product consumption flow output in the k-th city in the ith province; CF s，ik is the implicit footprint intensity of the secondary energy product production flow input in the k-th city in the ith province; CF o，ik CF is the implicit footprint intensity of the product transportation flow of secondary energy from the lth city to the kth city in the i-th province; ct，ik is the implicit footprint intensity of the secondary energy product consumption flow output in the k-th city in the ith province.

8. The method for calculating energy consumption footprint according to claim 1, characterized in that: The production flow, consumption flow, implicit footprint intensity and value flow data of city-scale energy products are input into the implicit footprint flow input-output balance relationship of the city-scale, and the uncertainty of the quantitative accounting results is simulated. When the set quality assessment requirements are met, the spatialized life cycle footprint dataset of city-scale energy products is output, including: According to the accounting object, identify the accounting system boundary and determine the energy product footprint data source; According to the determined energy product footprint data source, collect energy production data, energy conversion data, energy consumption data, input-output table value flow data between cities, and implicit footprint intensity data to form an initial energy product footprint data set; The input-output balance relationship of primary energy products and secondary energy products at the city scale and the input-output balance relationship of implicit footprint flows at the city scale are used as the multi-flow integrated footprint accounting model of energy consumption at the city scale. Check the initial energy product footprint data and convert it into a unified data format, input it into the city-scale energy consumption multi-flow integrated footprint accounting model, and quantify the uncertainty of the accounting results through Monte Carlo simulation. If it does not meet the pre-set quality assessment requirements, re-identify and re-determine the energy product footprint data source, otherwise proceed to the next step; Integrate energy product footprint data that meets pre-defined quality assessment requirements to form a spatialized life cycle footprint dataset of energy products at the city scale.

9. An energy consumption footprint calculation system, characterized in that: include: The collection module is used to obtain the production flow, consumption flow and implicit footprint intensity data of energy products at the provincial and city scales, as well as the transportation flow data of energy products at the provincial scale and the value flow data of the input-output table between cities at the city scale; The analysis module is used to construct the input-output balance relationship of primary energy products, and obtain the input-output balance relationship of secondary energy products through the product consumption flow output and conversion coefficient of primary energy at the provincial scale, and then incorporate the implicit footprint intensity into the input-output balance relationship of primary energy products and secondary energy products to obtain the implicit footprint flow input-output balance relationship at the provincial scale; the input-output balance relationship of energy products includes the balance relationship between production flow, transportation flow and consumption flow; The provincial-scale accounting module is used to input the production flow, consumption flow, implicit footprint intensity and transportation flow data of energy products at the provincial scale into the implicit footprint flow input-output balance relationship at the provincial scale, simulate the uncertainty of the quantitative accounting results, and output the spatialized life cycle footprint dataset of energy products at the provincial scale when the set quality assessment requirements are met; A downscaling module is used to downscale and expand the input-output balance relationship of primary energy products and secondary energy products and the input-output balance relationship of implicit footprint flow at the provincial scale through the inter-city input-output table to obtain the input-output balance relationship of implicit footprint flow at the city scale; The city-scale accounting module is used to input the production flow, consumption flow, implicit footprint intensity and value flow data of city-scale energy products into the implicit footprint flow input-output balance relationship at the city scale, simulate the uncertainty of the quantitative accounting results, and output the spatialized life cycle footprint dataset of city-scale energy products when meeting the set quality assessment requirements.

10. A computer device, characterized in that: It comprises a memory and a processor, wherein a program is stored in the memory, and when the program is executed by the processor, the processor executes the steps of an energy consumption footprint calculation method as claimed in any one of claims 1 to 8.

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