Quantitative evaluation method for energy consumption transformation level

Abstract

The invention provides an energy consumption transformation level quantitative evaluation method, which comprises the following steps: comprehensively analyzing key factors influencing an energy consumption transformation level, and establishing a total index system for energy consumption transformation level quantitative evaluation; according to the evaluation object range, each evaluation object property in the evaluation object range and the evaluation time frequency, combining credible underlying index database resources to construct an energy consumption evaluation index system; and performing energy consumption transformation level quantitative evaluation on each evaluation object in the evaluation object range to obtain an energy consumption transformation total index of each evaluation object in each evaluation period. The energy consumption transformation level quantitative evaluation method has the advantages that the energy consumption transformation conditions of different evaluation objects can be comprehensively, systematically and objectively subjected to quantitative evaluation, and the energy consumption transformation of the corresponding evaluation object in the next stage is guided; the transformation of the whole energy system is accelerated, and the goal of carbon neutralization is supported.

Description

Technical Field

[0001] The present invention belongs to the technical field of quantitative evaluation of energy consumption, and specifically relates to a quantitative evaluation method for the level of energy consumption transformation. Background Art

[0003] In the existing technology, qualitative evaluation methods are generally used to conduct qualitative evaluation of the energy consumption transformation in different regions, which has great limitations. It is of great significance to comprehensively, systematically and objectively conduct quantitative evaluation of the energy consumption transformation in different regions, so as to guide the energy consumption structure and total energy consumption of the corresponding regions in the next stage. Summary of the invention

[0004] In view of the defects of the prior art, the present invention provides a quantitative evaluation method for the level of energy consumption transformation, which can effectively solve the above problems.

[0005] The technical solution adopted by the present invention is as follows:

[0006] The present invention provides a method for quantitatively evaluating the level of energy consumption transformation, comprising the following steps:

[0007] Step S1, comprehensively analyzing the key factors affecting the level of energy consumption reform and transformation, and establishing a general indicator system for quantitative evaluation of the level of energy consumption reform and transformation; the general indicator system includes a target layer, a criterion layer and an indicator layer according to a hierarchical structure; the target layer is the total energy consumption indicator; the criterion layer includes a number of first-level energy consumption evaluation indicators; the indicator layer includes a number of second-level energy consumption evaluation indicators;

[0008] Step S2, determine the scope of evaluation objects and the evaluation time and frequency according to the evaluation requirements;

[0009] Step S3, according to the scope of evaluation objects, the properties of each evaluation object in the scope of evaluation objects, and the evaluation time frequency, combined with the trusted underlying indicator database resources, select a number of appropriate first-level energy consumption evaluation indicators and second-level energy consumption evaluation indicators from the overall indicator system to construct an energy consumption evaluation indicator system;

[0010] Step S4: according to the evaluation time frequency and the energy consumption evaluation index system, a quantitative evaluation of the energy consumption transformation level of each evaluation object in the evaluation object range is performed to obtain the total energy consumption transformation index ERI of each evaluation object in each evaluation period. consumption .

[0011] Preferably, the process of establishing the overall indicator system is as follows:

[0012] Step S1.1, taking the total energy consumption index as the root node;

[0013] Step S1.2, conduct a comprehensive analysis of the energy consumption field and select several key energy consumption fields as primary energy consumption evaluation indicators;

[0014] Step S1.3, analyzing the key energy consumption areas corresponding to each primary energy consumption evaluation indicator, and obtaining several key factors affecting energy consumption in the key energy consumption areas as the secondary energy consumption evaluation indicators of the primary energy consumption evaluation indicators;

[0015] Thus, the overall index system is established.

[0016] Preferably, when conducting a comprehensive analysis of the energy consumption sector, a comprehensive assessment is conducted from the aspects of total energy consumption, energy consumption structure, energy utilization efficiency, electrification level and carbon emission intensity to select several key energy consumption areas.

[0017] Preferably, the first-level energy consumption evaluation indicators include evaluation indicators in the power field, evaluation indicators in the industrial field, evaluation indicators in the construction field and evaluation indicators in the transportation field.

[0018] Preferably, the secondary energy consumption evaluation indicators under the power sector evaluation indicators include: electricity wholesale market evaluation indicators, purchase obligation evaluation indicators, time-of-use electricity price evaluation indicators, rural electrification project evaluation indicators, availability evaluation indicators of solar pay-as-you-go services, and energy electrification rate and per capita electricity consumption evaluation indicators;

[0019] The secondary energy consumption evaluation indicators under the industrial field evaluation indicators include: industrial field carbon dioxide intensity evaluation indicators and industrial development level evaluation indicators;

[0020] The secondary energy consumption evaluation indicators under the building field evaluation indicators include: heat pump sales evaluation indicators, statutory low-carbon heating target evaluation indicators and gas-to-electricity price ratio evaluation indicators;

[0021] The secondary energy consumption evaluation indicators under the transportation sector evaluation indicators include: electric vehicle import tax exemption evaluation indicators, electric vehicle annual sales evaluation indicators, electric vehicle charging infrastructure construction target evaluation indicators, electric vehicle charging infrastructure construction support evaluation indicators, oil-electricity price ratio evaluation indicators, transportation sector carbon dioxide emissions evaluation indicators and transportation sector carbon dioxide emissions proportion evaluation indicators.

[0022] Preferably, step S4 is specifically:

[0023] Step S4.1, assuming that the energy consumption evaluation index system includes N primary energy consumption evaluation indexes, represented by F1, F2, ..., Fj ,...,F N , j = 1, 2, ..., N; for the first-level energy consumption evaluation index F j , with Q j Secondary energy consumption evaluation index, expressed as ,k=1,2,...,Q j ;

[0024] Step S4.2, determine the indicator weights:

[0025] Through expert survey method, according to each primary energy consumption evaluation index F1, F2, ..., F j ,...,F N The impact of energy consumption transformation and change on energy consumption is determined by the evaluation indicators F1, F2, ..., F j ,...,F N The weights are: w1,w2,...,w j ,...,w N ;

[0026] For each primary energy consumption evaluation index F j Q included j Secondary energy consumption evaluation indicators , according to each secondary energy consumption evaluation index In its first-level energy consumption evaluation index F j The corresponding key areas of energy consumption have an impact on the transformation of energy consumption, and determine the evaluation indicators of each secondary energy consumption The weights are:

[0027] Step S4.3: for each secondary energy consumption evaluation index F j,k , according to the secondary energy consumption evaluation index F j,k The indicator characteristics of the secondary energy consumption evaluation index F are determined j,k Indicator data acquisition method and indicator data preprocessing rules;

[0028] Step S4.4, assuming that the evaluation object range has M evaluation objects, represented by evaluation object i, i = 1, 2, ..., M;

[0029] According to the index data acquisition method determined in step S4.3, each secondary energy consumption evaluation index F of each evaluation object i is obtained. j,k The original index value

[0030] According to the index data preprocessing rules determined in step S4.3, the secondary energy consumption evaluation index F of the evaluation object i isj,k The original index value Preprocessing is performed to obtain dimensionless quantitative standard values

[0031] Step S4.5: for each primary energy consumption evaluation index F of the evaluation object i j , j = 1, 2, ..., N, using formula (1), quantitatively evaluate its energy consumption transformation index

[0032]

[0033] Thus, the energy consumption transformation index of each primary energy consumption evaluation indicator of evaluation object i is obtained, which is expressed as follows:

[0034] Step S4.6: Use formula (2) to quantitatively evaluate the total energy consumption transformation index of evaluation object i:

[0035]

[0036] This enables a quantitative evaluation of the level of energy consumption transformation of the evaluation object i during the evaluation period.

[0037] Preferably, in step S4.3, according to the secondary energy consumption evaluation index F j,k The indicator characteristics of the secondary energy consumption evaluation index F are determined j,k The indicator data acquisition method and indicator data preprocessing rules are as follows:

[0038] Method for obtaining indicator data:

[0039] If the secondary energy consumption evaluation index F j,k It is a non-numerical indicator. According to the meaning of the indicator, the expert survey method is used to evaluate the secondary energy consumption evaluation index F of each evaluation object. j,k Discretization assignment; if a secondary energy consumption evaluation index F of an evaluation object j,k In case of missing values, the analogy method is preferred for assignment, that is, the secondary energy consumption evaluation index F of the evaluation object with similar situation is j,k The value of is assigned to the missing object; if there is no other evaluation object with similar situation, then the evaluation object is assigned the value of the secondary energy consumption evaluation index F j,k The performance on the other evaluation objects is assigned the secondary energy consumption evaluation index F j,k The characteristic values ​​of , including maximum, minimum, mean and median;

[0040] If the secondary energy consumption evaluation index F j,kIf it is a numerical indicator, its value is directly used as the secondary energy consumption evaluation indicator F j,k The original indicator value of

[0041] The index data preprocessing rules are as follows: According to the secondary energy consumption evaluation index F j,k The characteristics and credibility of the indicator are determined comprehensively. Specifically, if it is a high-credibility indicator, the shoulder-pole linear method is used for data preprocessing, otherwise the hierarchical equalization method is used for data preprocessing.

[0042] Preferably, in step S4.4, the secondary energy consumption evaluation index F of the evaluation object i is j,k The original index value Preprocessing is performed to obtain dimensionless quantitative standard values Specifically:

[0043] Step S4.4.1, determine each secondary energy consumption evaluation index F j,k The positive and negative correlation of

[0044] If the secondary energy consumption evaluation index F j,k When the growth rate is high, the energy consumption transformation is promoted, then the secondary energy consumption evaluation index F j,k It is positively correlated with the energy consumption transformation target. j,k It is a positive correlation indicator;

[0045] On the contrary, if the secondary energy consumption evaluation index F j,k When the growth rate is high, it will hinder the transformation of energy consumption. Then the secondary energy consumption evaluation index F j,k It is negatively correlated with the energy consumption transformation target. j,k It is a negative correlation indicator;

[0046] Step S4.4.2, according to the index data preprocessing rules, for the secondary energy consumption evaluation index F that uses the shoulder pole linear method for data preprocessing j,k , execute step S4.4.3; for the secondary energy consumption evaluation index F using the hierarchical equalization method for data preprocessing j,k , execute step S4.4.4;

[0047] Step S4.4.3, data preprocessing using the shoulder pole linear method:

[0048] For M evaluation objects, their secondary energy consumption evaluation index F j,k The original index values ​​are: Sure The maximum value MAX(I j,k ) and the minimum value MIN(I j,k); if the secondary energy consumption evaluation index F j,k is a positive correlation index, and formula (3) is used for data preprocessing. If the secondary energy consumption evaluation index F j,k As a negative correlation index, formula (4) is used for data preprocessing to convert the original index value Normalized to a dimensionless quantitative standard value based on 100

[0049]

[0050]

[0051] Step S4.4.4, data preprocessing using the hierarchical equalization method:

[0052] According to each secondary energy consumption evaluation index F j,k The positive and negative correlation of the evaluation object i is calculated by using the corresponding hierarchical equalization method to preprocess the data. j,k The original index value Standardization to obtain dimensionless quantitative standard value

[0053] Preferably, in step S4.4.4, the hierarchical equalization method is used to convert the secondary energy consumption evaluation index F of the evaluation object i into j,k The original index value Standardization to obtain dimensionless quantitative standard value Specifically:

[0054] ① For M evaluation objects, determine each secondary energy consumption evaluation index F j,k P j,k Levels, namely, level 1, level 2, ..., level P j,k Level; where 1<P j,k ≤M;

[0055] right After the original index values ​​are arranged in descending order, the ranking number of the original index value at the first place is 1, and the ranking number of the original index value at the last place is M, so as to determine the ranking of each original index value. The ranking number is expressed as:

[0056] ② Determine the original index value by the following method Level

[0057] A: Determine the original indicator value Level The process:

[0058] A1, initialize the intermediate variable set is empty;

[0059] A2, judge whether condition 1 is true, if true, then add Assign P j,k -1; if not, add to the intermediate variable Assign P j,k , then execute A3;

[0060] Condition 1:

[0061] A3, judge whether condition 2 is true, if true, then add Assign P j,k -2; if not, the intermediate variable Assign the value of to the intermediate variable Then execute A4;

[0062] Condition 2:

[0063] A4, determine whether condition 3 is true. If true, add the value to the intermediate variable Assign P j,k -3; if not, the intermediate variable Assign the value of to the intermediate variable

[0064] Condition 3:

[0065] And so on

[0066] Judgment Condition P j,k -1 is true, if true, assign 1 to the intermediate variable V1; if not true, assign the value of the intermediate variable V2 to the intermediate variable V1, and then execute B;

[0067] Condition P j,k -1:

[0068] B, using formula (5), get the original index value Level

[0069]

[0070] ③ If the secondary energy consumption evaluation index F j,k is a positive correlation index, and formula (6) is used for data preprocessing. If the secondary energy consumption evaluation index F j,k As a negative correlation index, formula (7) is used for data preprocessing to convert the original index value Normalized to a dimensionless quantitative standard value based on 100

[0071]

[0072] This step is finished.

[0073] The quantitative evaluation method for the energy consumption transformation level provided by the present invention has the following advantages:

[0074] The quantitative evaluation method for the level of energy consumption change and transformation adopted in the present invention accurately and comprehensively conducts quantitative evaluation of each evaluation object in different dimensions, obtains the energy consumption change and transformation index of each dimension, and then weights the energy consumption change and transformation index of each dimension to obtain the total energy consumption change and transformation index of each evaluation object, thereby comprehensively, systematically and objectively conducting quantitative evaluation of the energy consumption change and transformation of different evaluation objects, guiding the energy consumption change and transformation of the corresponding evaluation objects in the next stage, accelerating the change and transformation of the entire energy system, and supporting the realization of the carbon neutrality goal.

[0075] In addition, the present invention realizes the organic combination of unified evaluation and differentiated evaluation of differentiated objects with huge differences in objective conditions such as resources, land area, population size, etc. through the coupling of the shoulder-pole linear method and the hierarchical equality method. Under such a method, on the one hand, the overall index can realize comprehensive, comprehensive, unified and fair evaluation and incentives for differentiated evaluation objects; on the other hand, the low-level index can realize more differentiated and specific evaluation, which is also conducive to improving the fairness of the evaluation and promoting its incentive function. BRIEF DESCRIPTION OF THE DRAWINGS

[0076] Figure 1 A flow chart of the method for quantitatively evaluating the level of energy consumption transformation and change provided by the present invention. DETAILED DESCRIPTION

[0077] In order to make the technical problems, technical solutions and beneficial effects solved by the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0078] See also Figure 1 The present invention provides a method for quantitatively evaluating the level of energy consumption transformation, comprising the following steps:

[0079] Step S1, comprehensively analyzing the key factors affecting the level of energy consumption reform and transformation, and establishing a general indicator system for quantitative evaluation of the level of energy consumption reform and transformation; the general indicator system includes a target layer, a criterion layer and an indicator layer according to a hierarchical structure; the target layer is the total energy consumption indicator; the criterion layer includes a number of first-level energy consumption evaluation indicators; the indicator layer includes a number of second-level energy consumption evaluation indicators;

[0080] The establishment process of the overall indicator system is as follows:

[0081] Step S1.1, taking the total energy consumption index as the root node;

[0082] Step S1.2, conduct a comprehensive analysis of the energy consumption field and select several key energy consumption fields as primary energy consumption evaluation indicators;

[0083] Step S1.3, analyzing the key energy consumption areas corresponding to each primary energy consumption evaluation indicator, and obtaining several key factors affecting energy consumption in the key energy consumption areas as the secondary energy consumption evaluation indicators of the primary energy consumption evaluation indicators;

[0084] Thus, the overall index system is established.

[0085] As a specific implementation method, when conducting a comprehensive analysis of the energy consumption field, a comprehensive assessment is conducted from the aspects of total energy consumption, energy consumption structure, energy utilization efficiency, electrification level and carbon emission intensity, and several key energy consumption areas are selected as primary energy consumption evaluation indicators. Therefore, the primary energy consumption evaluation indicators include evaluation indicators in the power field, evaluation indicators in the industrial field, evaluation indicators in the construction field and evaluation indicators in the transportation field.

[0086] Secondary energy consumption evaluation indicators include:

[0087] The secondary energy consumption evaluation indicators under the power sector evaluation indicators include: electricity wholesale market evaluation indicators, purchase obligation evaluation indicators, time-of-use electricity price evaluation indicators, rural electrification project evaluation indicators, availability evaluation indicators of solar pay-as-you-go services, and energy electrification rate and per capita electricity consumption evaluation indicators;

[0088] The secondary energy consumption evaluation indicators under the industrial field evaluation indicators include: industrial field carbon dioxide intensity evaluation indicators and industrial development level evaluation indicators;

[0089] The secondary energy consumption evaluation indicators under the building field evaluation indicators include: heat pump sales evaluation indicators, statutory low-carbon heating target evaluation indicators and gas-to-electricity price ratio evaluation indicators;

[0090] The secondary energy consumption evaluation indicators under the transportation sector evaluation indicators include: electric vehicle import tax exemption evaluation indicators, electric vehicle annual sales evaluation indicators, electric vehicle charging infrastructure construction target evaluation indicators, electric vehicle charging infrastructure construction support evaluation indicators, oil-electricity price ratio evaluation indicators, transportation sector carbon dioxide emissions evaluation indicators and transportation sector carbon dioxide emissions proportion evaluation indicators.

[0091] Step S2, determine the scope of evaluation objects and the evaluation time and frequency according to the evaluation requirements;

[0092] For example, if the level of energy consumption transformation and change in countries / regions around the world needs to be evaluated, the impact of factors such as economic development, population, energy production and consumption in various countries / regions on the global energy system should be comprehensively considered to determine the scope of the evaluation countries: because the evaluation of the national scope needs to cover all individuals of a category of objects, the data collection cost is too high, and only evaluating a small number of evaluation countries is not representative enough, because a balance needs to be struck between coverage and efficiency. The characteristic indicators of a certain type of energy consumption transformation and change level of the evaluation countries in the evaluation country scope need to cover a certain proportion of the evaluation countries of this type. For example: when evaluating countries / regions around the world, the evaluation country scope needs to cover countries with more than 85% of the global GDP. In this case, the union of the top 50 countries in terms of global GDP and population in 2022 can be taken as the evaluation country scope; each evaluation country in the evaluation country scope is an evaluation object.

[0093] The evaluation frequency is determined according to the evaluation needs, for example, five years, every two years, every year, every quarter, every six months, every month, etc.

[0094] Step S3, according to the scope of evaluation objects, the properties of each evaluation object in the scope of evaluation objects, and the evaluation time frequency, combined with the trusted underlying indicator database resources, select a number of appropriate first-level energy consumption evaluation indicators and second-level energy consumption evaluation indicators from the overall indicator system to construct an energy consumption evaluation indicator system;

[0095] Step S4: according to the evaluation time frequency and the energy consumption evaluation index system, a quantitative evaluation of the energy consumption transformation level of each evaluation object in the evaluation object range is performed to obtain the total energy consumption transformation index ERI of each evaluation object in each evaluation period. consumption .

[0096] Step S4 is specifically as follows:

[0097] Step S4.1, assuming that the energy consumption evaluation index system includes N primary energy consumption evaluation indexes, represented by F1, F2, ..., F j ,...,F N, j = 1, 2, ..., N; for the first-level energy consumption evaluation index F j , with Q j Secondary energy consumption evaluation index, expressed as ,k=1,2,...,Q j ;

[0098] Step S4.2, determine the indicator weights:

[0099] Through expert survey method, according to each primary energy consumption evaluation index F1, F2, ..., F j ,...,F N The impact of energy consumption transformation and change on energy consumption is determined by the evaluation indicators F1, F2, ..., F j ,...,F N The weights are: w1,w2,...,w j ,...,w N ;

[0100] For each primary energy consumption evaluation index F j Q included j Secondary energy consumption evaluation indicators , according to each secondary energy consumption evaluation index In its first-level energy consumption evaluation index F j The corresponding key areas of energy consumption have an impact on the transformation of energy consumption, and determine the evaluation indicators of each secondary energy consumption The weights are:

[0101] Step S4.3: for each secondary energy consumption evaluation index F j,k , according to the secondary energy consumption evaluation index F j,k The indicator characteristics of the secondary energy consumption evaluation index F are determined j,k Indicator data acquisition method and indicator data preprocessing rules;

[0102] In this step, as a specific implementation method, the indicator data acquisition method is:

[0103] If the secondary energy consumption evaluation index F j,k It is a non-numerical indicator. According to the meaning of the indicator, the expert survey method is used to evaluate the secondary energy consumption evaluation index F of each evaluation object. j,k Discretization assignment; if a secondary energy consumption evaluation index F of an evaluation object j,k In case of missing values, the analogy method is preferred for assignment, that is, the secondary energy consumption evaluation index F of the evaluation object with similar situation is j,kThe value of is assigned to the missing object; if there is no other evaluation object with similar situation, then the evaluation object is assigned the value of the secondary energy consumption evaluation index F j,k The performance on the other evaluation objects is assigned the secondary energy consumption evaluation index F j,k The characteristic values ​​of , including maximum, minimum, mean and median;

[0104] If the secondary energy consumption evaluation index F j,k If it is a numerical indicator, its value is directly used as the secondary energy consumption evaluation indicator F j,k The original indicator value of

[0105] The index data preprocessing rules are as follows: According to the secondary energy consumption evaluation index F j,k The characteristics and credibility of the indicator are determined comprehensively. Specifically, if it is a high-credibility indicator, the shoulder-pole linear method is used for data preprocessing, otherwise the hierarchical equalization method is used for data preprocessing.

[0106] In practical applications, as a preferred method, the following rules can be used to determine the secondary energy consumption evaluation index F j,k For high-credibility indicators or medium-credibility indicators, for high-credibility indicators, the shoulder-pole linear method is used for data preprocessing; for medium-credibility indicators, the hierarchical equalization method is used for data preprocessing.

[0107] (1) For the non-numerical secondary energy consumption evaluation index F j,k ,Since the value is assigned by expert survey method, it is considered to be a medium credibility indicator;

[0108] (2) For the numerical secondary energy consumption evaluation index F j,k , according to its data source, determine its credibility category:

[0109] ① If it comes from a high-level accreditation institution or organization, and the number of valuable evaluation objects of the indicator is greater than 2 / 3 of the total number of evaluation objects, the indicator is considered to be a high-credibility indicator;

[0110] ② If it comes from a low-level accreditation institution or organization, and the number of valuable evaluation objects of this indicator is greater than the average number of valuable evaluation objects of all indicators of all evaluation objects, and greater than 2 / 3 of the number of all evaluation objects, this indicator is considered to be a high-credibility indicator;

[0111] For situation ②, for easier understanding and explanation, an example is given below:

[0112] Assume that in the energy consumption evaluation index system, the total number of secondary energy consumption evaluation indicators is n, namely: the first secondary energy consumption evaluation indicator, the second secondary energy consumption evaluation indicator, ..., the nth secondary energy consumption evaluation indicator;

[0113] The number of evaluation objects in this evaluation is M. For the secondary energy consumption evaluation indicator, the industrial carbon dioxide intensity evaluation indicator in the energy consumption evaluation indicator system, which comes from a low-level accreditation institution or organization, among the M evaluation objects, the number of evaluation objects that directly provide the indicator value of this indicator is n1;

[0114] Among the M evaluation objects, the number of evaluation objects that directly provide the index values ​​of the first to the nth secondary energy consumption evaluation indexes are: y1, y2, ..., yn; then the average value y = (y1 + y2 + ... + yn) / n;

[0115] Therefore, if n1>y and n1>M*2 / 3, the industrial carbon dioxide intensity evaluation index is a high-credibility indicator.

[0116] In this step, the valued evaluation object of the indicator refers to the evaluation object that can directly provide the indicator value of the indicator, rather than the indicator being a blank value and determined through corresponding assignment rules.

[0117] For the numerical secondary energy consumption evaluation index F j,k , if it does not belong to the above situations ① and ②, it is a medium credibility indicator.

[0118] Step S4.4, assuming that the evaluation object range has M evaluation objects, represented by evaluation object i, i = 1, 2, ..., M;

[0119] According to the index data acquisition method determined in step S4.3, each secondary energy consumption evaluation index F of each evaluation object i is obtained. j,k The original index value

[0120] According to the index data preprocessing rules determined in step S4.3, the secondary energy consumption evaluation index F of the evaluation object i is j,k The original index value Preprocessing is performed to obtain dimensionless quantitative standard values

[0121] The specific steps of this step are:

[0122] Step S4.4.1, determine each secondary energy consumption evaluation index F j,k The positive and negative correlation of

[0123] If the secondary energy consumption evaluation index F j,kWhen the growth rate is high, the energy consumption transformation is promoted, then the secondary energy consumption evaluation index F j,k It is positively correlated with the energy consumption transformation target. j,k It is a positive correlation indicator;

[0124] On the contrary, if the secondary energy consumption evaluation index F j,k When the growth rate is high, it will hinder the transformation of energy consumption. Then the secondary energy consumption evaluation index F j,k It is negatively correlated with the energy consumption transformation target. j,k It is a negative correlation indicator;

[0125] Step S4.4.2, according to the index data preprocessing rules, for the secondary energy consumption evaluation index F that uses the shoulder pole linear method for data preprocessing j,k , execute step S4.4.3; for the secondary energy consumption evaluation index F using the hierarchical equalization method for data preprocessing j,k , execute step S4.4.4;

[0126] Step S4.4.3, data preprocessing using the shoulder pole linear method:

[0127] For M evaluation objects, their secondary energy consumption evaluation index F j,k The original index values ​​are: Sure The maximum value MAX(I j,k ) and the minimum value MIN(I j,k ); if the secondary energy consumption evaluation index F j,k is a positive correlation index, and formula (3) is used for data preprocessing. If the secondary energy consumption evaluation index F j,k As a negative correlation index, formula (4) is used for data preprocessing to convert the original index value Normalized to a dimensionless quantitative standard value based on 100

[0128]

[0129]

[0130] The method of standardizing the original index values ​​of the secondary energy consumption evaluation indexes of all evaluation objects by the carrying pole linear method adopted in the present invention has the following advantages:

[0131] (1) When standardizing the original index values, the positive and negative correlations of the original index values ​​are taken into account at the same time, which can intuitively and effectively reflect the characteristics of each secondary energy consumption evaluation index; (2) The standardization method of the present invention can reflect the impact of the absolute difference in the number of indicators of the secondary energy consumption evaluation indicators as the underlying energy consumption evaluation indicators on the final evaluation results; (3) It can effectively reflect the value of category indicators such as "intensity", "density" and "proportion"; (4) The operation is simple and does not require complex expert survey methods.

[0132] Step S4.4.4, data preprocessing using the hierarchical equalization method:

[0133] According to each secondary energy consumption evaluation index F j,k The positive and negative correlation of the evaluation object i is calculated by using the corresponding hierarchical equalization method to preprocess the data. j,k The original index value Standardization to obtain dimensionless quantitative standard value Specifically:

[0134] ① For M evaluation objects, determine each secondary energy consumption evaluation index F j,k P j,k Levels, namely, level 1, level 2, ..., level P j,k Level; where 1<P j,k ≤M;

[0135] right After the original index values ​​are arranged in descending order, the ranking number of the original index value at the first place is 1, and the ranking number of the original index value at the last place is M, so as to determine the ranking of each original index value. The ranking number is expressed as:

[0136] ② Determine the original index value by the following method Level

[0137] A: Determine the original indicator value Level The process:

[0138] A1, initialize the intermediate variable set is empty;

[0139] A2, judge whether condition 1 is true, if true, then add Assign P j,k -1; if not, add to the intermediate variable Assign P j,k , then execute A3;

[0140] Condition 1:

[0141] A3, judge whether condition 2 is true, if true, then add Assign P j,k -2; if not, the intermediate variable Assign the value of Then execute A4;

[0142] Condition 2:

[0143] A4, determine whether condition 3 is true. If true, add the value to the intermediate variable Assign P j,k -3; if not, the intermediate variable Assign the value of

[0144] Condition 3:

[0145] And so on

[0146] Judgment Condition P j,k -1 is true, if true, assign 1 to the intermediate variable V1; if not true, assign the value of the intermediate variable V2 to the intermediate variable V1, and then execute B;

[0147] Condition P j,k -1:

[0148] B, using formula (5), get the original index value Level

[0149]

[0150] ③ If the secondary energy consumption evaluation index F j,k is a positive correlation index, and formula (6) is used for data preprocessing. If the secondary energy consumption evaluation index F j,k As a negative correlation index, formula (7) is used for data preprocessing to convert the original index value Normalized to a dimensionless quantitative standard value based on 100

[0151]

[0152] For the same reason, if in step ① Arrange in ascending order, then when the secondary energy consumption evaluation index F j,kis a positive correlation indicator, and formula (7) is used to standardize the data; when the secondary energy consumption evaluation index F j,k It is a negative correlation indicator, and formula (6) is used to standardize the data.

[0153] This step is finished.

[0154] Step S4.5: for each primary energy consumption evaluation index F of the evaluation object i j , j = 1, 2, ..., N, using formula (1), quantitatively evaluate its energy consumption transformation index

[0155]

[0156] Thus, the energy consumption transformation index of each primary energy consumption evaluation indicator of evaluation object i is obtained, which is expressed as follows:

[0157] Step S4.6: Use formula (2) to quantitatively evaluate the total energy consumption transformation index of evaluation object i:

[0158]

[0159] This enables a quantitative evaluation of the level of energy consumption transformation of the evaluation object i during the evaluation period.

[0160] It should be noted that the hierarchical equalization method provided by the present invention for standardizing the secondary energy consumption evaluation index is an important innovation of the present invention, and has the following advantages in particular:

[0161] 1. Under the premise of ensuring the differentiation of indicators, the absolute difference in the order of magnitude of the underlying indicators caused by differences in resource endowment, area, and population is weakened. For example, the fossil energy consumption indicator is highly correlated with factors such as population and GDP. Although the consumption of the evaluation object with a large population and a high GDP may be slightly higher, its per capita consumption or fossil energy consumption intensity may not be higher than that of the object with a relatively low total consumption. However, its total consumption is still high. Therefore, the total number of levels of this indicator P is adjusted by the method of the present invention. j,k This will allow both to get the same score, which is fairer and more scientific than simply considering that a high total fossil energy consumption will get a low score, or a low per capita consumption (or low consumption intensity) will get a high score. Specifically, the total number of grades P j,k If there are too many, the ability to weaken the score differences caused by resource endowment, area, and population differences will be weak. The total number of levels P j,k The smaller the value, the stronger the ability to weaken the score differences caused by resource endowment, area, and population differences. 1<P j,k ≤M.

[0162] 2. When P j,k When it is close to or equal to M, the total energy consumption transformation index can be fully utilized. The incentive and guidance function of the final evaluation result can motivate each evaluation object to improve its own ranking, that is, the relative value of the data, to obtain a higher excess score. In the process of multiple rounds of evaluation, it can also motivate each evaluation object to compete with each other and accelerate the process of transformation. Even when using the pole linear method, if the maximum value of a certain indicator MAX(I j,k ) and the minimum value MIN(I j,k ) is relatively large. At this time, the lower evaluation object surpasses the higher evaluation object, which has a very small impact on the evaluation result, but its actual impact and significance on the transformation of the evaluation object are huge. Therefore, in this case, appropriate excess incentives should be given, using the hierarchical equalization method, and making P j,k When it is close to or equal to M, it can realize excess incentives and competition between incentive evaluation objects, thus accelerating the process of reform and transformation.

[0163] Example: A linear correlation index F1 (such as energy consumption) of population size is (MAX(I i,j )-MIN(I i,j ))=10 ^5 However, the F1 values ​​of most evaluation objects are lower than 10 ^3 At this time, if the shoulder pole linear method is used, no matter how hard each evaluation object tries, the change in its score on the F1 index will not be greater than 10 ^3 / (MAX(I i,j )-MIN(I i,j ))=10 ^3 / 10 ^5 = 1%, which will greatly undermine the efforts of the evaluated object on this indicator; but using the hierarchical equalization method to make P j,k =M, which is equivalent to dividing M evaluation objects into M levels for evaluation. For example, if M = 25, then each time the ranking rises by 1, a 4% reward can be obtained on the indicator, which is much larger than the upper limit of 1% of the shoulder pole linear method. The F1 values ​​of most cases are lower than 10. ^3The evaluation objects that advance in ranking can receive rewards that are linearly related to their rankings. In addition, for evaluation objects with relatively small resources and population, they themselves do not have strong motivation for transformation and reform. Such evaluation objects generally believe that transformation and reform are the obligations of objects with strong resources, population, and comprehensive strength. Therefore, the efforts of such evaluation objects have little impact on global (global) transformation and reform. However, there are many such evaluation objects, and their aggregate impact on the world (global) is huge. If their confidence in transformation and reform is undermined through evaluation methods similar to the carrying pole linear method, and their efforts are not appropriately over-rewarded, transformation and reform will be difficult to achieve.

[0164] 3. Give P j,k Setting a smaller value can reduce the impact of individual low-quality data on the final evaluation results. That is, although the low-quality data value itself has a certain deviation, its score is the same as that of the evaluation objects with similar rankings, which can eliminate the impact of individual inaccurate data on the evaluation results.

[0165] 4. You can use P j,k Adjustment, effectively adjust the corresponding index F j,k Different degrees of discrimination for each evaluation object, the total number of levels P j,k The more the number, the greater the discrimination; otherwise, the smaller the discrimination.

[0166] The quantitative evaluation method for the level of energy consumption change and transformation adopted in the present invention accurately and comprehensively conducts quantitative evaluation of each evaluation object in different dimensions, obtains the energy consumption change and transformation index of each dimension, and then weights the energy consumption change and transformation index of each dimension to obtain the total energy consumption change and transformation index of each evaluation object, thereby comprehensively, systematically and objectively conducting quantitative evaluation of the energy consumption change and transformation of different evaluation objects, guiding the energy consumption change and transformation of the corresponding evaluation objects in the next stage, accelerating the change and transformation of the entire energy system, and supporting the realization of the carbon neutrality goal.

[0167] In addition, the present invention realizes the organic combination of unified evaluation and differentiated evaluation of differentiated objects with huge differences in objective conditions such as resources, land area, population size, etc. through the coupling of the shoulder-pole linear method and the hierarchical equality method. Under such a method, on the one hand, the overall index can realize comprehensive, comprehensive, unified and fair evaluation and incentives for differentiated evaluation objects; on the other hand, the low-level index can realize more differentiated and specific evaluation, which is also conducive to improving the fairness of the evaluation and promoting its incentive function.

[0168] A specific embodiment is described below:

[0169] Step S1, comprehensively analyzing the key factors affecting the level of energy consumption reform and transformation, and establishing a general indicator system for quantitatively evaluating the level of energy consumption reform and transformation;

[0170] Overall indicator system: Energy consumption reform encourages and promotes low-carbon, clean, efficient, convenient and inclusive energy consumption scenarios. The assessment mainly starts from key energy consumption areas such as electricity, industry, construction, and transportation, and covers important indicators such as total energy consumption, energy consumption structure, energy utilization efficiency, electrification level, and carbon emission intensity.

[0171] Therefore, in the overall indicator system, the first-level energy consumption evaluation indicators include evaluation indicators for the power sector, evaluation indicators for the industrial sector, evaluation indicators for the construction sector and evaluation indicators for the transportation sector. The weight distribution principle is: the weights of the four key areas of power, industry, construction and transportation are the same, or they are divided in proportion according to the energy consumption / carbon emission indicators of the respective fields of power, industry, construction, transportation, etc., or they are determined by expert survey method.

[0172] Design of secondary energy consumption evaluation indicators:

[0173] The first dimension is the power sector: electricity is the main energy type for future energy conversion and utilization. The electrification of terminal energy consumption is an important way to use energy efficiently. It is the only way to use renewable energy on a large scale and reduce dependence on fossil energy. The power market mechanism plays an important role in the efficient allocation of resources. Power infrastructure is the foundation of power development and also determines the stage of national power industry development. It is encouraged to strengthen the construction of infrastructure such as smart grids and smart meters. The power structure characterizes the development trend, mainly examining the proportion and utilization efficiency of fossil energy and renewable energy, and encouraging the construction of environmentally friendly and sustainable power systems. Therefore, in the evaluation of the power sector, indicators such as electrification rate, power market system and mechanism, power infrastructure development level, electricity price level, and power consumption structure are used as secondary energy consumption evaluation indicators.

[0174] The second dimension is the industrial sector: the total amount, structure, growth rate, efficiency, cleanliness, etc. of energy consumption in the industrial sector have a great impact on the transformation of energy consumption. The development level and carbon emission level of the industrial sector also provide support for the development of energy technology innovation, energy equipment manufacturing and engineering construction capabilities. Therefore, the assessment of the industrial sector uses indicators such as energy consumption structure, total amount, growth rate, and industrial development index as secondary energy consumption evaluation indicators.

[0175] The third dimension is the building dimension: energy consumption in the building sector is closely related to residents' lives and is also the core area of ​​terminal energy consumption. The energy consumption of buildings is mainly heating (cooling), covering temperature control, work, entertainment, lighting, ventilation, cooking and other loads, of which heating (cooling) accounts for the largest proportion. In developed countries, building energy consumption generally accounts for more than 40% of the total social terminal energy consumption. Energy consumption in the building sector has a profound impact on the quality of energy consumption in the whole society. Clean heating, efficient insulation, and the use rate of advanced heating technology products such as heat pumps have a profound impact on the high-quality energy consumption in the building sector. Therefore, the main indicators used for evaluation are the proportion of clean energy heating (cooling), the use of heat pumps, the proportion of gas utilization, the electrification rate, and the price of building energy consumption, as secondary energy consumption evaluation indicators in the building sector.

[0176] The fourth dimension is the transportation sector: The transportation sector is an important sector that is rapidly advancing energy consumption reforms and is also the sector with the greatest potential for change. New energy vehicles and green hydrogen provide an important transformation path for clean, low-carbon, and efficient energy consumption in the transportation sector. The transformation and upgrading wave of fuels such as road transportation, rail transportation, navigation, and aviation is sweeping the world. Therefore, in the transportation sector, indicators such as new energy vehicle sales, infrastructure construction such as charging piles, support policies for transportation electrification transformation, oil price to electricity price ratio, and carbon emissions from transportation energy consumption are used as secondary energy consumption evaluation indicators in the transportation sector.

[0177] Step S2, determine the scope of evaluation objects and the evaluation time and frequency according to the evaluation requirements;

[0178] In this embodiment, the evaluation object range includes 50 countries, each country is an evaluation object, and the evaluation time frequency is once a year.

[0179] Step S3, according to the scope of evaluation objects, the properties of each evaluation object in the scope of evaluation objects, and the evaluation time frequency, combined with the trusted underlying indicator database resources, select a number of appropriate first-level energy consumption evaluation indicators and second-level energy consumption evaluation indicators from the overall indicator system to construct an energy consumption evaluation indicator system;

[0180] In order to subsequently calculate the total index of energy consumption transformation and transformation for each evaluation object in each evaluation period, in this step, the indicator name and indicator definition of each secondary energy consumption evaluation indicator are determined at the same time, and the indicator data acquisition method, preprocessing rules (assignment, vacancy value processing, abnormal value processing, standardization, etc.), and indicator positive and negative correlation and weight are further determined according to the indicator value type. The dimensionless quantitative standard value of each secondary energy consumption evaluation indicator of each evaluation object is obtained through preprocessing.

[0181] Specifically, the evaluation objects are countries / regions around the world, the evaluation frequency is once a year, and the scope is the union of the top 50 countries in the world in terms of GDP or population. Combined with the above principles, the secondary energy consumption evaluation index (bottom-level energy consumption evaluation index) is obtained, and the weights of each primary energy consumption evaluation index are determined by the expert survey method; the weights of each secondary energy consumption evaluation index are determined by the expert survey method, and the index preprocessing method and rules of the secondary energy consumption evaluation index are determined according to the characteristics of the index data: for non-numerical indicators, discretization assignment is performed according to the meaning of the indicator and possible situations, and each non-numerical indicator assignment rule is determined by the expert survey method. For the case where a few objects of a certain indicator have vacant values, the analogy method is used first to assign values, that is, the value of the evaluation object with similar situation is assigned to the missing value evaluation object; if there are no other evaluation objects with similar situation, the characteristic values ​​of the remaining evaluation objects with values ​​are assigned according to the performance of the evaluation object on the indicator (the maximum value, minimum value, average value, median, etc. are selected as appropriate). The positive or negative correlation between the indicator and the dimensionless quantitative value is determined by the direction of the indicator and the transformation target of energy consumption. The indicator that promotes the transformation of energy consumption is positively correlated, otherwise it is negatively correlated. The data standardization method is selected based on the characteristics and credibility of the indicator data. For numerical indicators with high credibility, the pole linear method should be used first, otherwise the hierarchical equalization method should be used.

[0182] In this embodiment, an energy consumption evaluation index system as shown in Table 1 is established, as well as the relevance, standardization method and weight (%) of each index.

[0183] Table 1: Indicator system

[0184]

[0185]

[0186] Step S4: according to the evaluation time frequency and the energy consumption evaluation index system, a quantitative evaluation of the energy consumption transformation level of each evaluation object in the evaluation object range is performed to obtain the total energy consumption transformation index ERI of each evaluation object in each evaluation period. consumption .

[0187] In this embodiment, as shown in Table 2, the level P of the hierarchical equalization method j,k When both are taken as 8, the energy consumption transformation index corresponding to each primary energy consumption evaluation index of each evaluation object can be obtained by using formula (1); then the energy consumption transformation index corresponding to each primary energy consumption evaluation index of each evaluation object is weighted and summed by using formula (2) to obtain the total energy consumption transformation index of each evaluation object. Only the top 10 evaluation objects are shown in Table 2.

[0188] Table 2: Evaluation results

[0189]

[0190] It should be emphasized that this embodiment uses the country as the evaluation object for illustrative explanation. In actual applications, the evaluation object can also be an enterprise, region, province, etc., which is specifically set according to the evaluation requirements, and the present invention is not limited to this.

[0191] Step S5, analyzing the evaluation results: analyzing the performance of the evaluation object in the current energy consumption transformation through the total energy consumption transformation index of each evaluation object and the energy consumption transformation index corresponding to each primary energy consumption evaluation indicator of each evaluation object.

[0192] Combined with Table 2, we can draw the following conclusions: The top-ranked countries have built a more reasonable energy consumption system in key areas such as electricity, industry, transportation, and construction, or are taking practical actions to rapidly advance towards the goal of clean, low-carbon, efficient, and sustainable energy consumption. These countries have performed well in core indicators of energy consumption reform, such as the degree of electrification of terminal energy use, energy efficiency and carbon emission intensity, clean transportation and heating. Overall, the transformation and development of global energy consumption is still insufficient and unbalanced. The top-ranked countries need to increase their support for energy consumption reform in the bottom-ranked countries, and provide support and assistance in terms of funding, technology, and policy formulation. Countries with weak performance in the energy consumption dimension need to increase their efforts to adjust the energy consumption structure, increase the terminal electrification rate and energy consumption efficiency, and promote energy inclusion.

[0193] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be considered as the scope of protection of the present invention.

Claims

1. A quantitative evaluation method for the level of energy consumption transformation, characterized by: The following steps are involved: Step S1, comprehensively analyzing the key factors affecting the level of energy consumption reform and transformation, and establishing a general indicator system for quantitative evaluation of the level of energy consumption reform and transformation; the general indicator system includes a target layer, a criterion layer and an indicator layer according to a hierarchical structure; the target layer is the total energy consumption indicator; the criterion layer includes a number of first-level energy consumption evaluation indicators; the indicator layer includes a number of second-level energy consumption evaluation indicators; Step S2, determine the scope of evaluation objects and the evaluation time and frequency according to the evaluation requirements; Step S3, according to the scope of evaluation objects, the properties of each evaluation object in the scope of evaluation objects, and the evaluation time frequency, combined with the trusted underlying indicator database resources, select a number of appropriate first-level energy consumption evaluation indicators and second-level energy consumption evaluation indicators from the overall indicator system to construct an energy consumption evaluation indicator system; Step S4: according to the evaluation time frequency and the energy consumption evaluation index system, a quantitative evaluation of the energy consumption transformation level of each evaluation object in the evaluation object range is performed to obtain the total energy consumption transformation index ERI of each evaluation object in each evaluation period. consumption .

2. The method for quantitatively evaluating the level of energy consumption transformation according to claim 1 is characterized in that: The establishment process of the overall indicator system is as follows: Step S1.1, taking the total energy consumption index as the root node; Step S1.2, conduct a comprehensive analysis of the energy consumption field and select several key energy consumption fields as primary energy consumption evaluation indicators; Step S1.3, analyzing the key energy consumption areas corresponding to each primary energy consumption evaluation indicator, and obtaining several key factors affecting energy consumption in the key energy consumption areas as the secondary energy consumption evaluation indicators of the primary energy consumption evaluation indicators; Thus, the overall index system is established.

3. The method for quantitatively evaluating the level of energy consumption transformation according to claim 2 is characterized in that: When conducting a comprehensive analysis of the energy consumption sector, a comprehensive assessment is conducted from the aspects of total energy consumption, energy consumption structure, energy utilization efficiency, electrification level and carbon emission intensity, and several key energy consumption areas are selected.

4. The method for quantitatively evaluating the level of energy consumption transformation according to claim 2 is characterized in that: The first-level energy consumption evaluation indicators include evaluation indicators in the power field, evaluation indicators in the industrial field, evaluation indicators in the construction field and evaluation indicators in the transportation field.

5. The method for quantitatively evaluating the level of energy consumption transformation according to claim 4 is characterized in that: The secondary energy consumption evaluation indicators under the power sector evaluation indicators include: electricity wholesale market evaluation indicators, purchase obligation evaluation indicators, time-of-use electricity price evaluation indicators, rural electrification project evaluation indicators, availability evaluation indicators of solar pay-as-you-go services, and energy electrification rate and per capita electricity consumption evaluation indicators; The secondary energy consumption evaluation indicators under the industrial field evaluation indicators include: industrial field carbon dioxide intensity evaluation indicators and industrial development level evaluation indicators; The secondary energy consumption evaluation indicators under the building field evaluation indicators include: heat pump sales evaluation indicators, statutory low-carbon heating target evaluation indicators and gas-to-electricity price ratio evaluation indicators; The secondary energy consumption evaluation indicators under the transportation sector evaluation indicators include: electric vehicle import tax exemption evaluation indicators, electric vehicle annual sales evaluation indicators, electric vehicle charging infrastructure construction target evaluation indicators, electric vehicle charging infrastructure construction support evaluation indicators, oil-electricity price ratio evaluation indicators, transportation sector carbon dioxide emissions evaluation indicators and transportation sector carbon dioxide emissions proportion evaluation indicators.

6. The method for quantitatively evaluating the level of energy consumption transformation according to claim 1 is characterized in that: Step S4 is specifically as follows: Step S4.1, assuming that the energy consumption evaluation index system includes N primary energy consumption evaluation indexes, represented by F1, F2, ..., F j ,...,F N , j = 1, 2, ..., N; for the first-level energy consumption evaluation index F j , with Q j Secondary energy consumption evaluation index, expressed as F j,1 ,F j,2 ,...,F j,k ,...,F j,Qj ,k=1,2,...,Q j ; Step S4.2, determine the indicator weights: Through expert survey method, according to each primary energy consumption evaluation index F1, F2, ..., F j ,...,F N The impact of energy consumption transformation and change on energy consumption is determined by the evaluation indicators F1, F2, ..., F j ,...,F N The weights are: w1,w2,...,w j ,...,w N ; For each primary energy consumption evaluation index F j Q included j Secondary energy consumption evaluation indicators According to each secondary energy consumption evaluation index In its first-level energy consumption evaluation index F j The corresponding key areas of energy consumption have an impact on the transformation of energy consumption, and determine the evaluation indicators of each secondary energy consumption The weights are: Step S4.3: for each secondary energy consumption evaluation index F j,k , according to the secondary energy consumption evaluation index F j,k The indicator characteristics of the secondary energy consumption evaluation index F are determined j,k Indicator data acquisition method and indicator data preprocessing rules; Step S4.4, assuming that the evaluation object range has M evaluation objects, represented by evaluation object i, i = 1, 2, ..., M; According to the index data acquisition method determined in step S4.3, each secondary energy consumption evaluation index F of each evaluation object i is obtained. j,k The original index value According to the index data preprocessing rules determined in step S4.3, the secondary energy consumption evaluation index F of the evaluation object i is j,k The original index value Preprocessing is performed to obtain dimensionless quantitative standard values Step S4.5: for each primary energy consumption evaluation index F of the evaluation object i j , j = 1, 2, ..., N, using formula (1), quantitatively evaluate its energy consumption transformation index Thus, the energy consumption transformation index of each primary energy consumption evaluation indicator of evaluation object i is obtained, which is expressed as follows: Step S4.6: Use formula (2) to quantitatively evaluate the total energy consumption transformation index of evaluation object i: This enables a quantitative evaluation of the level of energy consumption transformation of the evaluation object i during the evaluation period.

7. The method for quantitatively evaluating the level of energy consumption transformation according to claim 6 is characterized in that: In step S4.3, according to the secondary energy consumption evaluation index F j,k The indicator characteristics of the secondary energy consumption evaluation index F are determined j,k The indicator data acquisition method and indicator data preprocessing rules are as follows: Method for obtaining indicator data: If the secondary energy consumption evaluation index F j,k It is a non-numerical indicator. According to the meaning of the indicator, the expert survey method is used to evaluate the secondary energy consumption evaluation index F of each evaluation object. j,k Discretization assignment; if a secondary energy consumption evaluation index F of an evaluation object j,k In case of missing values, the analogy method is preferred for assignment, that is, the secondary energy consumption evaluation index F of the evaluation object with similar situation is j,k The value of is assigned to the missing object; if there is no other evaluation object with similar situation, then the evaluation object is assigned the value of the secondary energy consumption evaluation index F j,k The performance on the other evaluation objects is assigned the secondary energy consumption evaluation index F j,k The characteristic values ​​of , including maximum, minimum, mean and median; If the secondary energy consumption evaluation index F j,k If it is a numerical indicator, its value is directly used as the secondary energy consumption evaluation indicator F j,k The original indicator value of The index data preprocessing rules are as follows: According to the secondary energy consumption evaluation index F j,k The characteristics and credibility of the indicator are determined comprehensively. Specifically, if it is a high-credibility indicator, the shoulder-pole linear method is used for data preprocessing, otherwise the hierarchical equalization method is used for data preprocessing.

8. The method for quantitatively evaluating the level of energy consumption transformation according to claim 7 is characterized in that: In step S4.4, the secondary energy consumption evaluation index F of the evaluation object i is j,k The original index value Preprocessing is performed to obtain dimensionless quantitative standard values Specifically: Step S4.4.1, determine each secondary energy consumption evaluation index F j,k The positive and negative correlation of If the secondary energy consumption evaluation index F j,k When the growth rate is high, the energy consumption transformation is promoted, then the secondary energy consumption evaluation index F j,k It is positively correlated with the energy consumption transformation target. j,k It is a positive correlation indicator; On the contrary, if the secondary energy consumption evaluation index F j,k When the growth rate is high, it will hinder the transformation of energy consumption. Then the secondary energy consumption evaluation index F j,k It is negatively correlated with the energy consumption transformation target. j,k It is a negative correlation indicator; Step S4.4.2, according to the index data preprocessing rules, for the secondary energy consumption evaluation index F that uses the shoulder pole linear method for data preprocessing j,k , execute step S4.4.3; for the secondary energy consumption evaluation index F using the hierarchical equalization method for data preprocessing j,k , execute step S4.4.4; Step S4.4.3, data preprocessing using the shoulder pole linear method: For M evaluation objects, their secondary energy consumption evaluation index F j,k The original index values ​​are: Sure The maximum value MAX(I j,k ) and the minimum value MIN(I j,k ); if the secondary energy consumption evaluation index F j,k is a positive correlation index, and formula (3) is used for data preprocessing. If the secondary energy consumption evaluation index F j,k As a negative correlation index, formula (4) is used for data preprocessing to convert the original index value Normalized to a dimensionless quantitative standard value based on 100 Step S4.4.4, data preprocessing using the hierarchical equalization method: According to each secondary energy consumption evaluation index F j,k The positive and negative correlation of the evaluation object i is calculated by using the corresponding hierarchical equalization method to preprocess the data. j,k The original index value Standardization to obtain dimensionless quantitative standard value 9. The method for quantitatively evaluating the level of energy consumption transformation according to claim 8 is characterized in that: In step S4.4.4, the hierarchical equalization method is used to convert the secondary energy consumption evaluation index F of the evaluation object i into j,k The original index value Standardization to obtain dimensionless quantitative standard value Specifically: ① For M evaluation objects, determine each secondary energy consumption evaluation index F j,k P j,k Levels, namely, level 1, level 2, ..., level P j,k Level; among them, P j,k Determined by expert survey method, and 1<P j,k ≤M; right After the original index values ​​are arranged in descending order, the ranking number of the original index value ranked first is 1, and the ranking number is increased in sequence. If the values ​​are the same, the same number is given, and the subsequent corresponding numbers are cancelled, so as to determine the ranking number of each original index value. The ranking number is expressed as: ② Use the following method to determine the original index value Level A: Determine the original indicator value Level The process: A1, initialize the intermediate variable set is empty; A2, judge whether condition 1 is true, if true, then add Assign P j,k -1; if not true, then add to the intermediate variable Assign P j,k , then execute A3; Condition 1: A3, judge whether condition 2 is true, if true, then add Assign P j,k -2; if not, the intermediate variable Assign the value of Then execute A4; Condition 2: A4, determine whether condition 3 is true. If true, add the value to the intermediate variable Assign P j,k -3; if not, the intermediate variable The value of is assigned to the intermediate variable V Pj,k-3 ; Condition 3: And so on Judgment Condition P j,k -1 is true, if true, assign 1 to the intermediate variable V1; if not true, assign the value of the intermediate variable V2 to the intermediate variable V1, and then execute B; Condition P j,k -1: B, using formula (5), get the original index value Level ③ If the secondary energy consumption evaluation index F j,k is a positive correlation index, and formula (6) is used for data preprocessing. If the secondary energy consumption evaluation index F j,k As a negative correlation index, formula (7) is used for data preprocessing to convert the original index value Normalized to a dimensionless quantitative standard value based on 100 This step is finished.

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