CN-122022833-A - Enterprise energy efficiency carbon efficiency dynamic calibration platform and assessment method

CN122022833ACN 122022833 ACN122022833 ACN 122022833ACN-122022833-A

Abstract

The invention relates to the technical field of energy efficiency and carbon efficiency evaluation, in particular to an enterprise energy efficiency and carbon efficiency dynamic benchmarking platform and an evaluation method, wherein the platform comprises a data acquisition module, an environment value collaborative authentication module, an industry chain green value tracking module and a dynamic benchmarking calculation module, according to the method, environmental value reliability assessment models are constructed to calculate carbon emission reduction through multi-source data acquisition preprocessing, industry chain node green electricity consumption boundaries are defined, full-link green values are measured, and enterprise intelligent classification is achieved by combining a dynamic weight mechanism and a comprehensive assessment algorithm. The problems of static alignment, single dimension, incomplete value accounting and the like in the prior art are solved, and the accuracy and the cooperativity of energy efficiency and carbon efficiency evaluation are improved.

Inventors

JIANG TING
ZHANG HENGJIN
WU YUANYING
HUANG JIONGTONG
LAI ZHIYI
LONG LIPING
MA YUFEI
LIANG YIFANG
SHEN YI
XU LE

Assignees

广东省国际工程咨询有限公司

Dates

Publication Date: 20260512
Application Date: 20251226

Claims (9)

1. The method for dynamically evaluating the energy efficiency of the enterprise is characterized by comprising the following steps of: acquiring energy efficiency carbon efficiency basic data, environment value related data and industry chain related data through a sensor and a standardized interface; Constructing a multidimensional environment value credibility assessment model, calculating an environment value authentication coefficient, and completing accurate carbon emission reduction accounting by combining emission factor data; Step three, the green value all-link metering of the industrial chain comprises the steps of identifying core nodes of the industrial chain, constructing a correlation model, defining green electricity consumption boundaries of all nodes, calculating value conduction coefficients and loss coefficients, accounting direct and indirect green electricity consumption of the all-link, and quantifying green value contribution degree of all nodes; And fourthly, dynamic multidimensional scaling calculation, namely constructing a multidimensional hierarchical scaling index system, screening core indexes, establishing a dynamic weight correction mechanism, calculating a comprehensive score through a comprehensive evaluation algorithm, and realizing intelligent enterprise classification by combining cluster analysis and quantization rules.
2. The method for dynamically evaluating the energy efficiency and the carbon efficiency of an enterprise according to claim 1, wherein the environmental value credibility evaluation model comprises three primary evaluation dimensions including green electricity production process compliance, carbon emission reduction data traceability and green evidence verification process standardization, corresponding secondary evaluation indexes are set in each primary dimension, and each index weight is determined through an analytic hierarchy process.
3. The method for dynamically evaluating the energy efficiency and the carbon efficiency of an enterprise according to claim 2, wherein the method for calculating the environmental value authentication coefficient is specifically as follows: And determining the original scores of the secondary evaluation indexes by adopting a differential assignment method for the secondary evaluation indexes arranged in each primary dimension, converting the original scores of the secondary indexes into standardized scores by adopting an extremum method, and calculating by adopting a weighted summation mode in combination with the determined weights of the indexes to obtain the environment value authentication coefficient.
4. The method for dynamically evaluating the energy efficiency and the carbon efficiency of an enterprise according to claim 1, wherein the process of accurately accounting the carbon emission reduction is as follows: And determining a unit green electricity carbon emission reduction coefficient based on the regional power grid reference emission factor and the green electricity technology type, and calculating to obtain accurate carbon emission reduction by combining the environment value authentication coefficient and the green electricity consumption.
5. The method for dynamically evaluating the energy efficiency and the carbon efficiency of an enterprise according to claim 1, wherein the definition of the green electricity consumption boundary of each node is as follows: the direct green electricity consumption boundary is defined as an energy utilization link covered by green electricity which is purchased by an enterprise through a green electricity transaction platform and is used for automatically constructing a renewable energy power station to generate electricity; The indirect green electricity consumption boundary is defined as an environment value corresponding to green electricity consumed in the production process of a product or service indirectly obtained by an enterprise through purchasing the product or service of an upstream node, and the boundary range is traced to an industrial chain upstream three-stage core node and extends to a downstream one-stage core node.
6. The method for dynamically evaluating the energy efficiency and the carbon efficiency of an enterprise according to claim 1, wherein the calculation of the value conduction coefficient is specifically as follows: based on the transaction amount duty ratio among the nodes, the green energy use duty ratio of the upstream node and the contribution degree of the added value of the product, the method is obtained through weighted summation calculation, wherein the weight of each influence factor is determined through an entropy weight method.
7. The method for dynamically evaluating the energy efficiency and the carbon efficiency of an enterprise according to claim 6, wherein the accounting of the direct and indirect green electricity consumption of the full link is specifically as follows: Based on the node association model and the value conduction coefficient, an iterative calculation method is adopted to calculate the indirect green electricity consumption of each node, and the calculation of the indirect green electricity consumption also introduces a loss coefficient determined based on the energy-saving transmission efficiency, the logistics transportation loss rate and the data traceability integrity loss of each ring of the industrial chain.
8. The method for dynamically evaluating the energy efficiency and the carbon efficiency of an enterprise according to claim 1, wherein the method for calculating the composite score is specifically as follows: The method comprises the steps of calculating the enterprise comprehensive score by adopting an approximation ideal solution sorting method, specifically comprising the steps of constructing a weighted normalized decision matrix, determining a positive ideal solution and a negative ideal solution, calculating Euclidean distances between each enterprise and the positive ideal solution and between each enterprise and the negative ideal solution, and finally calculating relative closeness based on the Euclidean distances to be converted into the comprehensive score.
9. An enterprise energy efficiency carbon efficiency dynamic calibration platform for realizing the enterprise energy efficiency carbon efficiency dynamic evaluation method according to any one of claims 1-8, wherein the platform comprises a data acquisition module, an environment value collaborative authentication module, an industry chain green value tracking module and a dynamic calibration calculation module; The data acquisition module is used for acquiring multi-source energy efficiency carbon efficiency related data by deploying an industrial sensor and a standardized interface; the environment value cooperative authentication module is used for constructing a multidimensional credibility evaluation model, calculating an environment value authentication coefficient and completing accurate accounting of carbon emission reduction by combining emission factor data; The industrial chain green value tracking module is used for identifying industrial chain core nodes and constructing a correlation model, defining green electricity consumption boundaries of all nodes, calculating direct and indirect green electricity consumption of the whole link by calculating value conduction coefficients and loss coefficients, and quantifying green value contribution degree of all nodes; And the dynamic benchmarking calculation module is used for constructing a benchmarking index system, screening core indexes, establishing a dynamically corrected weight mechanism, calculating enterprise scores by adopting a comprehensive evaluation algorithm, and realizing intelligent classification of enterprises by adopting cluster analysis and quantization rules.

Description

Enterprise energy efficiency carbon efficiency dynamic calibration platform and assessment method Technical Field The invention relates to the technical field of energy efficiency and carbon efficiency evaluation, in particular to an enterprise energy efficiency and carbon efficiency dynamic calibration platform and an evaluation method. Background The energy efficiency and carbon efficiency evaluation is a core technical support for the green transformation of enterprises and the low-carbon collaborative development of industrial chains, and the application of the energy efficiency and carbon efficiency evaluation in the fields of industrial production, energy management and the like is more and more critical under the promotion of a double-carbon policy. The multi-focus enterprise self energy efficiency and carbon efficiency data statistics in the prior art has obvious limitations that firstly, the evaluation dimension is single, the absolute energy consumption or carbon emission index is emphasized in multiple ways, the environment value reliability and the industry chain cooperative value are ignored, secondly, the standard matching mode is static, the weight setting is fixed, the real-time fluctuation of data cannot be adapted and the industry policy is adjusted, thirdly, the value accounting range is narrow, only the direct energy utilization link of the enterprise is covered, and the environment value corresponding to the indirect green electricity consumption at the upstream and downstream of the industry chain is not considered, so that the evaluation result is on one hand. Meanwhile, the existing method lacks an effective authentication mechanism for environmental value of green electricity and green evidence, has insufficient accuracy of carbon emission reduction accounting, and is difficult to meet the requirements of enterprises and industrial chains for fine low-carbon management. Therefore, the invention provides an enterprise energy efficiency carbon efficiency dynamic benchmarking platform and an evaluation method, which are used for solving the bottleneck of the prior art through multidimensional collaborative authentication, full-link value measurement and dynamic benchmarking mechanisms. Disclosure of Invention Aiming at the defects existing in the prior art, the invention aims to provide an enterprise energy efficiency carbon efficiency dynamic calibration platform and an evaluation method. In order to achieve the above purpose, the present invention provides the following technical solutions: the dynamic evaluation method for the energy efficiency and the carbon efficiency of the enterprise specifically comprises the following steps: acquiring energy efficiency carbon efficiency basic data, environment value related data and industry chain related data through a sensor and a standardized interface; Constructing a multidimensional environment value credibility assessment model, calculating an environment value authentication coefficient, and completing accurate carbon emission reduction accounting by combining emission factor data; Step three, the green value all-link metering of the industrial chain comprises the steps of identifying core nodes of the industrial chain, constructing a correlation model, defining green electricity consumption boundaries of all nodes, calculating value conduction coefficients and loss coefficients, accounting direct and indirect green electricity consumption of the all-link, and quantifying green value contribution degree of all nodes; And fourthly, dynamic multidimensional scaling calculation, namely constructing a multidimensional hierarchical scaling index system, screening core indexes, establishing a dynamic weight correction mechanism, calculating a comprehensive score through a comprehensive evaluation algorithm, and realizing intelligent enterprise classification by combining cluster analysis and quantization rules. The invention also provides an enterprise energy efficiency carbon efficiency dynamic benchmarking platform which comprises a data acquisition module, an environment value collaborative authentication module, an industry chain green value tracking module and a dynamic benchmarking calculation module; The data acquisition module is used for acquiring multi-source energy efficiency carbon efficiency related data by deploying an industrial sensor and a standardized interface; the environment value cooperative authentication module is used for constructing a multidimensional credibility evaluation model, calculating an environment value authentication coefficient and completing accurate accounting of carbon emission reduction by combining emission factor data; The industrial chain green value tracking module is used for identifying industrial chain core nodes and constructing a correlation model, defining green electricity consumption boundaries of all nodes, calculating direct and indirect green electricity consumption of the whole link b