Quantitative evaluation method for energy transformation level

Abstract

The invention provides an energy transformation quantitative evaluation method which comprises the following steps: comprehensively analyzing key factors influencing an energy transformation level, and establishing a comprehensive evaluation index system for energy transformation level quantitative evaluation; and constructing an energy reform transformation evaluation index system, and performing energy reform transformation level quantitative evaluation on each evaluation object in the evaluation object range to obtain an energy reform transformation comprehensive index of each evaluation object in each evaluation period. According to the method, quantitative evaluation is accurately and comprehensively carried out on each evaluation object in different dimensions, the energy transformation index of each dimension is obtained, the energy transformation index of each dimension is weighted, and the energy transformation comprehensive index of each evaluation object is obtained. Therefore, quantitative evaluation is comprehensively, systematically and objectively performed on the energy transformation conditions of different evaluation objects, the energy transformation of the corresponding evaluation object in the next stage is guided, the transformation of the whole energy system is accelerated, and the realization of the carbon neutralization target is supported.

Description

Technical Field

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

[0003] In the existing technology, qualitative evaluation methods are generally used to conduct qualitative evaluations of energy transformation in different regions, which has great limitations. It is of great significance to comprehensively, systematically and objectively conduct quantitative evaluations of energy transformation in different regions, so as to guide the energy structure of the corresponding regions in the next stage and accelerate the promotion of energy transformation. 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 transformation and transition, 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 energy transformation and transition, comprising the following steps:

[0007] Step S1, comprehensively analyzing the key factors affecting the level of energy transformation and transition, and establishing a comprehensive evaluation index system for quantitatively evaluating the level of energy transformation and transition; the comprehensive evaluation index system includes a target layer, a system layer, a criterion layer and an indicator layer according to a hierarchical structure; the target layer is an energy transformation and transition comprehensive index; the system layer includes a number of first-level energy transformation evaluation indicators; the criterion layer includes a number of second-level energy transformation evaluation indicators; the indicator layer includes a number of third-level energy transformation evaluation indicators and a number of fourth-level energy transformation evaluation indicators as the next level of the third-level energy transformation 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 the evaluation object, the nature of each evaluation object in the scope of the evaluation object, and the evaluation time frequency, combined with the trusted underlying indicator database resources, select a number of appropriate first-level energy transformation evaluation indicators, second-level energy transformation evaluation indicators, third-level energy transformation evaluation indicators, and fourth-level energy transformation evaluation indicators from the comprehensive evaluation indicator system to construct an energy transformation transformation evaluation indicator system;

[0010] Step S4, according to the evaluation time frequency and the energy transformation evaluation index system, quantitatively evaluate the energy transformation level of each evaluation object in the evaluation object range to obtain the energy transformation comprehensive index of each evaluation object in each evaluation period.

[0011] Preferably, the process of establishing the comprehensive evaluation index system is as follows:

[0012] Step S1.1, taking the comprehensive index of energy transformation and transition as the target of the target layer as the root node;

[0013] Step S1.2, determining a plurality of evaluation dimensions for evaluating the degree of energy transformation, each evaluation dimension being used as one of the first-level energy transformation evaluation indicators in the system layer;

[0014] Step S1.3, determining multiple evaluation criteria for evaluating the degree of energy transformation under each evaluation dimension, each evaluation criterion being a secondary energy transformation evaluation indicator in the criterion layer and a direct subordinate indicator corresponding to the evaluation dimension;

[0015] Step S1.4, determining a plurality of third-level energy transformation evaluation indicators for evaluating the degree of energy transformation under each of the evaluation criteria, and a fourth-level energy transformation evaluation indicator under the third-level energy transformation evaluation indicator, to form the indicator layer; wherein, if each of the third-level energy transformation evaluation indicators has a fourth-level energy transformation evaluation indicator as its subordinate, then all the fourth-level energy transformation evaluation indicators are bottom-level energy transformation evaluation indicators; if only some of the third-level energy transformation evaluation indicators have a fourth-level energy transformation evaluation indicator as its subordinate, then all the fourth-level energy transformation evaluation indicators and the third-level energy transformation evaluation indicators without the fourth-level energy transformation evaluation indicator are bottom-level energy transformation evaluation indicators;

[0016] Thus, the comprehensive evaluation index system is established.

[0017] Preferably, the first-level energy transformation evaluation indicators include energy consumption evaluation indicators, energy supply evaluation indicators, energy technology evaluation indicators, energy policy evaluation indicators and exchange and cooperation evaluation indicators.

[0018] Preferably, the secondary energy transformation evaluation indicators under the energy consumption evaluation indicators include: energy consumption evaluation indicators in the power field, energy consumption evaluation indicators in the industrial field, energy consumption evaluation indicators in the construction field, and energy consumption evaluation indicators in the transportation field;

[0019] The secondary energy transformation evaluation indicators under the energy supply evaluation indicators include: energy supply cleanliness evaluation indicators, energy supply low-carbon evaluation indicators, energy supply security evaluation indicators and energy supply high efficiency evaluation indicators;

[0020] The secondary energy transformation evaluation indicators under the energy technology evaluation indicators include: equipment manufacturing energy technology evaluation indicators, engineering construction energy technology evaluation indicators, science and technology research and development energy technology evaluation indicators and energy transformation comprehensive technology evaluation indicators;

[0021] The secondary energy transformation evaluation indicators under the energy policy evaluation indicators include: emission reduction policy evaluation indicators, energy-related market mechanism evaluation indicators and energy-related industry policy evaluation indicators;

[0022] The secondary energy transformation evaluation indicators under the exchange and cooperation evaluation indicators include: energy transformation contribution evaluation indicators and energy cooperation environment evaluation indicators.

[0023] Preferably, step S4 is specifically:

[0024] Step S4.1, determining the indicator data acquisition method and indicator data preprocessing rules according to the indicator characteristics of each of the underlying energy transformation evaluation indicators;

[0025] Step S4.2, determine the weights of indicators at each level:

[0026] In the energy transformation and transition evaluation index system, the influence of each first-level energy transformation evaluation index at the same level on the target layer of its parent level is analyzed to obtain the weight of each first-level energy transformation evaluation index;

[0027] Analyze the influence of each secondary energy transformation evaluation indicator under each primary energy transformation evaluation indicator on the primary energy transformation evaluation indicator of its parent level, and obtain the weight of each secondary energy transformation evaluation indicator;

[0028] Analyze the influence of each third-level energy transformation evaluation indicator under each second-level energy transformation evaluation indicator on the second-level energy transformation evaluation indicator of its parent level, and obtain the weight of each third-level energy transformation evaluation indicator;

[0029] Analyze the influence of each of the four-level energy transformation evaluation indicators under each three-level energy transformation evaluation indicator on the three-level energy transformation evaluation indicator of its parent level, and obtain the weight of each of the four-level energy transformation evaluation indicators;

[0030] Step S4.3, assuming that the evaluation object range has M evaluation objects, represented by evaluation object i, i = 1, 2, ..., M;

[0031] According to the indicator data acquisition method determined in step S4.1, the original indicator value of each of the underlying energy transformation evaluation indicators for each evaluation object i is obtained. Since there are M evaluation objects, M original indicator values ​​of the underlying energy transformation evaluation indicators are obtained;

[0032] According to the index data preprocessing rule determined in step S4.1, the M original index values ​​are preprocessed and standardized to obtain an index standard value for each original index value, wherein the index standard value is a dimensionless quantitative standard value;

[0033] Step S4.4, determine the three-level energy transformation index for each three-level energy transformation evaluation indicator:

[0034] For each third-level energy transformation evaluation indicator that does not have a fourth-level energy transformation evaluation indicator, it is a bottom-level energy transformation evaluation indicator, and its indicator standard value has been obtained through step S4.3, which is directly used as its third-level energy transformation transformation index;

[0035] For each third-level energy transformation evaluation indicator with a fourth-level energy transformation evaluation indicator, the method for determining its third-level energy transformation transformation index is as follows: each fourth-level energy transformation evaluation indicator directly under the same third-level energy transformation evaluation indicator is a bottom-level energy transformation evaluation indicator. Therefore, it has an indicator standard value. The corresponding indicator standard value and indicator weight are used for weighted summation to obtain the third-level energy transformation transformation index of the third-level energy transformation evaluation indicator.

[0036] Step S4.5, determine the secondary energy transformation index for each secondary energy transformation evaluation indicator:

[0037] For each third-level energy transformation evaluation indicator directly subordinate to the same second-level energy transformation evaluation indicator, the weight of each third-level energy transformation evaluation indicator and its third-level energy transformation transformation index are weighted and summed to obtain the second-level energy transformation transformation index of the second-level energy transformation evaluation indicator;

[0038] Step S4.6, determine the primary energy transformation index for each primary energy transformation evaluation indicator:

[0039] For each secondary energy transformation evaluation indicator directly subordinate to the same primary energy transformation evaluation indicator, the weight of each secondary energy transformation evaluation indicator and its secondary energy transformation transformation index are weighted and summed to obtain the primary energy transformation transformation index of the primary energy transformation evaluation indicator;

[0040] Step S4.7, determine the comprehensive energy transformation index:

[0041] The weight of each first-level energy change evaluation indicator and its first-level energy change transformation index are weighted and summed to obtain the energy change transformation comprehensive index.

[0042] Preferably, the method for obtaining the indicator data of the underlying energy transformation evaluation indicator is:

[0043] If the underlying energy transformation evaluation index is a non-numerical index, the expert survey method is used to discretize and assign values ​​to the underlying energy transformation evaluation index of each evaluation object according to the meaning of the index; if a certain underlying energy transformation evaluation index of a certain evaluation object is missing, the analogy method is used to assign values, that is, the value of the underlying energy transformation evaluation index of the evaluation object with similar situation is assigned to the missing object; if there are no other valuable evaluation objects with similar situation, then according to the performance of the evaluation object on the underlying energy transformation evaluation index, the characteristic values ​​of the underlying energy transformation evaluation index of the remaining valuable evaluation objects are assigned, including maximum value, minimum value, average value and median;

[0044] If the underlying energy transformation evaluation indicator is a numerical indicator, its numerical value is directly used as the original indicator value of the underlying energy transformation evaluation indicator.

[0045] Preferably, the indicator data preprocessing rule is:

[0046] It is determined comprehensively based on the characteristics and credibility of the underlying energy transformation evaluation indicators. Specifically, if it is a numerical evaluation indicator with high credibility, the shoulder pole linear method is used for data preprocessing, otherwise the hierarchical equalization method is used for data preprocessing.

[0047] Preferably, step S4.3 is specifically:

[0048] Step S4.3.1, for each of the underlying energy transformation evaluation indicators, expressed as underlying energy transformation evaluation indicator F j ;

[0049] Step S4.3.2, determine the underlying energy transformation evaluation index F j The positive and negative correlation of

[0050] If the underlying energy transformation evaluation index F j When the growth rate is high, the energy transformation is promoted, then the underlying energy transformation evaluation index F j It is positively correlated with the energy transformation transformation target. The underlying energy transformation evaluation index F j It is a positive correlation indicator;

[0051] On the contrary, if the underlying energy transformation evaluation indicator F j When the growth is hindered, the energy transformation will be hindered. Then the underlying energy transformation evaluation index F j It is negatively correlated with the energy transformation target. The underlying energy transformation evaluation index F j It is a negative correlation indicator;

[0052] Step S4.3.3, according to the indicator data preprocessing rules, for the underlying energy transformation evaluation indicator F that uses the pole linear method for data preprocessingj , execute step S4.3.4; for the underlying energy transformation evaluation index F that uses the hierarchical equalization method for data preprocessing j , execute step S4.3.5;

[0053] Step S4.3.4, data preprocessing using the shoulder pole linear method:

[0054] For M evaluation objects, the underlying energy transformation evaluation index F j The original index values ​​are: Sure The maximum value MAX(I j ) and the minimum value MIN(I j ); if the underlying energy transformation evaluation index F j is a positive correlation indicator, and formula (1) is used for data preprocessing. If the underlying energy transformation evaluation indicator F j As a negative correlation index, formula (2) is used for data preprocessing to convert the original index value Normalized to a dimensionless quantitative standard value based on 100

[0055]

[0056] Step S4.3.5, data preprocessing using the hierarchical equalization method:

[0057] According to each underlying energy transformation evaluation indicator F j The positive and negative correlation of the evaluation object i is obtained by using the corresponding hierarchical equalization method to preprocess the data. j The original index value Standardization to obtain dimensionless quantitative standard value

[0058] Preferably, in step S4.3.5, the hierarchical equalization method is used to convert the underlying energy transformation evaluation index F of the evaluation object i into j The original index value Standardization to obtain dimensionless quantitative standard value Specifically:

[0059] ① For M evaluation objects, determine each underlying energy transformation evaluation indicator F j P j Levels, namely, level 1, level 2, ..., level P j Level; where the level number P j Determined by expert survey method, and 1<P j ≤M;

[0060] 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:

[0061] ② Determine the original index value by the following method Level

[0062] A: Determine the original indicator value Level The process:

[0063] A1, initialize the intermediate variable set is empty;

[0064] A2, judge whether condition 1 is true, if true, then add Assign P j -1; if not, add to the intermediate variable Assign P j , then execute A3;

[0065] Condition 1:

[0066] A3, judge whether condition 2 is true, if true, then add Assign P j -2; if not, the intermediate variable Assign the value of to the intermediate variable Then execute A4;

[0067] Condition 2:

[0068] A4, determine whether condition 3 is true. If true, add the value to the intermediate variable Assign P j -3; if not, the intermediate variable Assign the value of to the intermediate variable

[0069] Condition 3:

[0070] And so on

[0071] Judgment Condition P j -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;

[0072] Condition P j -1:

[0073] B, using formula (3), get the original index value Level

[0074]

[0075] ③ If the underlying energy transformation evaluation index F j is a positive correlation indicator, and formula (4) is used for data preprocessing. If the underlying energy transformation evaluation index F j As a negative correlation index, formula (5) is used for data preprocessing to convert the original index value Normalized to a dimensionless quantitative standard value based on 100

[0076]

[0077] This step is finished.

[0078] The energy transformation level quantitative evaluation method provided by the present invention has the following advantages:

[0079] The quantitative evaluation method for the energy change and transformation level adopted in the present invention accurately and comprehensively conducts quantitative evaluation of each evaluation object in different dimensions, obtains the energy change and transformation index of each dimension, and then weights the energy change and transformation index of each dimension to obtain the comprehensive energy change and transformation index of each evaluation object, thereby comprehensively, systematically and objectively conducting quantitative evaluation of the energy change and transformation situation of different evaluation objects, guiding the energy 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.

[0080] 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

[0081] Figure 1 A schematic diagram of the process flow of the method for quantitatively evaluating the level of energy transformation and transition provided by the present invention. DETAILED DESCRIPTION

[0082] 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.

[0083] See also Figure 1 The present invention provides a method for quantitatively evaluating the level of energy transformation, comprising the following steps:

[0084] Step S1, comprehensively analyzing the key factors affecting the level of energy transformation and transition, and establishing a comprehensive evaluation index system for quantitatively evaluating the level of energy transformation and transition; the comprehensive evaluation index system includes a target layer, a system layer, a criterion layer and an indicator layer according to a hierarchical structure; the target layer is an energy transformation and transition comprehensive index; the system layer includes a number of first-level energy transformation evaluation indicators; the criterion layer includes a number of second-level energy transformation evaluation indicators; the indicator layer includes a number of third-level energy transformation evaluation indicators and a number of fourth-level energy transformation evaluation indicators as the next level of the third-level energy transformation evaluation indicators;

[0085] Step S2, determine the scope of evaluation objects and the evaluation time and frequency according to the evaluation requirements;

[0086] Step S3, according to the scope of the evaluation object, the nature of each evaluation object in the scope of the evaluation object, and the evaluation time frequency, combined with the trusted underlying indicator database resources, select a number of appropriate first-level energy transformation evaluation indicators, second-level energy transformation evaluation indicators, third-level energy transformation evaluation indicators, and fourth-level energy transformation evaluation indicators from the comprehensive evaluation indicator system to construct an energy transformation transformation evaluation indicator system;

[0087] Step S4, according to the evaluation time frequency and the energy transformation evaluation index system, quantitatively evaluate the energy transformation level of each evaluation object in the evaluation object range to obtain the energy transformation comprehensive index of each evaluation object in each evaluation period.

[0088] The following describes steps S1 to S4 in detail:

[0089] Step S1, comprehensively analyzing the key factors affecting the level of energy transformation and transition, and establishing a comprehensive evaluation index system for quantitatively evaluating the level of energy transformation and transition; the process of establishing the comprehensive evaluation index system is as follows:

[0090] Step S1.1, taking the comprehensive index of energy transformation and transition as the target of the target layer as the root node;

[0091] Step S1.2, determining a plurality of evaluation dimensions for evaluating the degree of energy transformation, each evaluation dimension being used as one of the first-level energy transformation evaluation indicators in the system layer;

[0092] Step S1.3, determining multiple evaluation criteria for evaluating the degree of energy transformation under each evaluation dimension, each evaluation criterion being a secondary energy transformation evaluation indicator in the criterion layer and a direct subordinate indicator corresponding to the evaluation dimension;

[0093] Step S1.4, determining a plurality of third-level energy transformation evaluation indicators for evaluating the degree of energy transformation under each of the evaluation criteria, and a fourth-level energy transformation evaluation indicator under the third-level energy transformation evaluation indicator, to form the indicator layer; wherein, if each of the third-level energy transformation evaluation indicators has a fourth-level energy transformation evaluation indicator as its subordinate, then all the fourth-level energy transformation evaluation indicators are bottom-level energy transformation evaluation indicators; if only some of the third-level energy transformation evaluation indicators have a fourth-level energy transformation evaluation indicator as its subordinate, then all the fourth-level energy transformation evaluation indicators and the third-level energy transformation evaluation indicators without the fourth-level energy transformation evaluation indicator are bottom-level energy transformation evaluation indicators;

[0094] Thus, the comprehensive evaluation index system is established.

[0095] As a specific implementation method, the first-level energy transformation evaluation indicators include energy consumption evaluation indicators, energy supply evaluation indicators, energy technology evaluation indicators, energy policy evaluation indicators and exchange and cooperation evaluation indicators.

[0096] The secondary energy transformation evaluation indicators under the energy consumption evaluation indicators include: energy consumption evaluation indicators in the power sector, energy consumption evaluation indicators in the industrial sector, energy consumption evaluation indicators in the construction sector, and energy consumption evaluation indicators in the transportation sector;

[0097] The secondary energy transformation evaluation indicators under the energy supply evaluation indicators include: energy supply cleanliness evaluation indicators, energy supply low-carbon evaluation indicators, energy supply security evaluation indicators and energy supply high efficiency evaluation indicators;

[0098] The secondary energy transformation evaluation indicators under the energy technology evaluation indicators include: equipment manufacturing energy technology evaluation indicators, engineering construction energy technology evaluation indicators, science and technology research and development energy technology evaluation indicators and energy transformation comprehensive technology evaluation indicators;

[0099] The secondary energy transformation evaluation indicators under the energy policy evaluation indicators include: emission reduction policy evaluation indicators, energy-related market mechanism evaluation indicators and energy-related industry policy evaluation indicators;

[0100] The secondary energy transformation evaluation indicators under the exchange and cooperation evaluation indicators include: energy transformation contribution evaluation indicators and energy cooperation environment evaluation indicators.

[0101] Step S2, determine the scope of evaluation objects and the evaluation time and frequency according to the evaluation requirements;

[0102] For example, if the energy transformation level of countries / regions around the world needs to be evaluated this time, the impact of factors such as the economic development status, population, energy production and consumption of each country / region on the global energy system should be comprehensively considered to determine the scope of the evaluation country: because the evaluation country 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. For the evaluation countries in the evaluation country scope, a certain type of energy transformation level characteristic indicator needs 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.

[0103] 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.

[0104] The present invention does not limit the specific type of the evaluation object, which can be a country, region, province, enterprise, industry, etc., which is determined according to actual evaluation needs.

[0105] Step S3, according to the scope of the evaluation object, the nature of each evaluation object in the scope of the evaluation object, and the evaluation time frequency, combined with the trusted underlying indicator database resources, select a number of appropriate first-level energy transformation evaluation indicators, second-level energy transformation evaluation indicators, third-level energy transformation evaluation indicators, and fourth-level energy transformation evaluation indicators from the comprehensive evaluation indicator system to construct an energy transformation transformation evaluation indicator system;

[0106] Step S4, according to the evaluation time frequency and the energy transformation evaluation index system, quantitatively evaluate the energy transformation level of each evaluation object in the evaluation object range to obtain the energy transformation comprehensive index of each evaluation object in each evaluation period.

[0107] Step S4 is specifically as follows:

[0108] Step S4.1, determining the indicator data acquisition method and indicator data preprocessing rules according to the indicator characteristics of each of the underlying energy transformation evaluation indicators;

[0109] In this step, as a specific implementation method, the method for obtaining the indicator data of the underlying energy transformation evaluation indicator is:

[0110] If the underlying energy transformation evaluation index is a non-numerical index, the expert survey method is used to discretize and assign values ​​to the underlying energy transformation evaluation index of each evaluation object according to the meaning of the index; if a certain underlying energy transformation evaluation index of a certain evaluation object is missing, the analogy method is used to assign values, that is, the value of the underlying energy transformation evaluation index of the evaluation object with similar situation is assigned to the missing object; if there are no other valuable evaluation objects with similar situation, then according to the performance of the evaluation object on the underlying energy transformation evaluation index, the characteristic values ​​of the underlying energy transformation evaluation index of the remaining valuable evaluation objects are assigned, including maximum value, minimum value, average value and median;

[0111] If the underlying energy transformation evaluation indicator is a numerical indicator, its numerical value is directly used as the original indicator value of the underlying energy transformation evaluation indicator.

[0112] In this step, as a specific implementation, the indicator data preprocessing rule is:

[0113] It is determined comprehensively based on the characteristics and credibility of the underlying energy transformation evaluation indicators. Specifically, if it is a numerical evaluation indicator with high credibility, the shoulder pole linear method is used for data preprocessing, otherwise the hierarchical equalization method is used for data preprocessing.

[0114] In practical applications, as a preferred method, the following rules can be used to determine whether the underlying energy transformation evaluation indicators are 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 equality method is used for data preprocessing.

[0115] (1) For non-numerical underlying energy transformation evaluation indicators, since the expert survey method is used to assign values, this indicator is considered to be a medium-reliability indicator;

[0116] (2) For the numerical underlying energy transformation evaluation indicators, their credibility categories are determined according to their data sources:

[0117] 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;

[0118] 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;

[0119] For situation ②, for easier understanding and explanation, an example is given below:

[0120] Assume that in the energy transformation evaluation index system, the total number of underlying energy transformation evaluation indicators is n, namely: the first underlying energy transformation evaluation indicator, the second underlying energy transformation evaluation indicator, …, the nth underlying energy transformation evaluation indicator;

[0121] The number of evaluation objects in this evaluation is M. For the photovoltaic module capacity evaluation index in the energy transformation evaluation index system, which is the bottom-level energy transformation evaluation index, it comes from a low-level recognition institution or organization. Among the M evaluation objects, the number of evaluation objects that directly provide the index value of this index is n1;

[0122] Among the M evaluation objects, the number of evaluation objects that directly provide the index values ​​of the first to the nth underlying energy transformation evaluation indicators are: y1, y2, ..., yn; then the average value y = (y1 + y2 + ... + yn) / n;

[0123] Therefore, if n1>y, and n1>M*2 / 3, the underlying energy transformation evaluation indicator is a high-credibility indicator.

[0124] 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.

[0125] For the numerical underlying energy transformation evaluation indicators, if they do not fall into the above-mentioned situations ① and ②, they are medium-credible indicators.

[0126] Step S4.2, determine the weights of indicators at each level:

[0127] In the energy transformation and transition evaluation index system, the influence of each first-level energy transformation evaluation index at the same level on the target layer of its parent level is analyzed to obtain the weight of each first-level energy transformation evaluation index;

[0128] Analyze the influence of each secondary energy transformation evaluation indicator under each primary energy transformation evaluation indicator on the primary energy transformation evaluation indicator of its parent level, and obtain the weight of each secondary energy transformation evaluation indicator;

[0129] Analyze the influence of each third-level energy transformation evaluation indicator under each second-level energy transformation evaluation indicator on the second-level energy transformation evaluation indicator of its parent level, and obtain the weight of each third-level energy transformation evaluation indicator;

[0130] Analyze the influence of each of the four-level energy transformation evaluation indicators under each three-level energy transformation evaluation indicator on the three-level energy transformation evaluation indicator of its parent level, and obtain the weight of each of the four-level energy transformation evaluation indicators;

[0131] Step S4.3, assuming that the evaluation object range has M evaluation objects, represented by evaluation object i, i = 1, 2, ..., M;

[0132] According to the indicator data acquisition method determined in step S4.1, the original indicator value of each of the underlying energy transformation evaluation indicators for each evaluation object i is obtained. Since there are M evaluation objects, M original indicator values ​​of the underlying energy transformation evaluation indicators are obtained;

[0133] According to the index data preprocessing rule determined in step S4.1, the M original index values ​​are preprocessed and standardized to obtain an index standard value for each original index value, wherein the index standard value is a dimensionless quantitative standard value;

[0134] Step S4.3 is specifically as follows:

[0135] Step S4.3.1, for each of the underlying energy transformation evaluation indicators, expressed as underlying energy transformation evaluation indicator F j ;

[0136] Step S4.3.2, determine the underlying energy transformation evaluation index F j The positive and negative correlation of

[0137] If the underlying energy transformation evaluation index F j When the growth rate is high, the energy transformation is promoted, then the underlying energy transformation evaluation index F j It is positively correlated with the energy transformation transformation target. The underlying energy transformation evaluation index F j It is a positive correlation indicator;

[0138] On the contrary, if the underlying energy transformation evaluation indicator F j When the growth is hindered, the energy transformation will be hindered. Then the underlying energy transformation evaluation index F j It is negatively correlated with the energy transformation target. The underlying energy transformation evaluation index F j It is a negative correlation indicator;

[0139] Step S4.3.3, according to the indicator data preprocessing rules, for the underlying energy transformation evaluation indicator F that uses the pole linear method for data preprocessing j , execute step S4.3.4; for the underlying energy transformation evaluation index F that uses the hierarchical equalization method for data preprocessing j , execute step S4.3.5;

[0140] Step S4.3.4, data preprocessing using the shoulder pole linear method:

[0141] For M evaluation objects, the underlying energy transformation evaluation index F j The original index values ​​are: Sure The maximum value MAX(I j ) and the minimum value MIN(I j ); if the underlying energy transformation evaluation index F j is a positive correlation indicator, and formula (1) is used for data preprocessing. If the underlying energy transformation evaluation indicator F j As a negative correlation index, formula (2) is used for data preprocessing to convert the original index value Normalized to a dimensionless quantitative standard value based on 100

[0142]

[0143] The method of standardizing the original index values ​​of the underlying energy transformation evaluation indexes of all evaluation objects by the carrying pole linear method adopted in the present invention has the following advantages:

[0144] (1) When standardizing the original indicator values, the positive and negative correlations of the original indicator values ​​are taken into account at the same time, which can intuitively and effectively reflect the characteristics of each underlying energy transformation evaluation indicator; (2) The standardization method of the present invention can reflect the impact of the absolute difference in the number of indicators of the underlying energy transformation 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.

[0145] Step S4.3.5, data preprocessing using the hierarchical equalization method:

[0146] According to each underlying energy transformation evaluation indicator F j The positive and negative correlation of the evaluation object i is obtained by using the corresponding hierarchical equalization method to preprocess the data. j The original index value Standardization to obtain dimensionless quantitative standard value

[0147] The specific steps of this step are:

[0148] ① For M evaluation objects, determine each underlying energy transformation evaluation indicator F j P j Levels, namely, level 1, level 2, ..., level P j Level; where the level number P j Determined by expert survey method, and 1<Pj ≤M;

[0149] 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:

[0150] ② Determine the original index value by the following method Level

[0151] A: Determine the original indicator value Level The process:

[0152] A1, initialize the intermediate variable set is empty;

[0153] A2, judge whether condition 1 is true, if true, then add Assign P j -1; if not, add to the intermediate variable Assign P j , then execute A3;

[0154] Condition 1:

[0155] A3, judge whether condition 2 is true, if true, then add Assign P j -2; if not, the intermediate variable Assign the value of to the intermediate variable Then execute A4;

[0156] Condition 2:

[0157] A4, determine whether condition 3 is true. If true, add the value to the intermediate variable Assign P j -3; if not, the intermediate variable Assign the value of to the intermediate variable

[0158] Condition 3:

[0159] And so on

[0160] Judgment Condition P j-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;

[0161] Condition P j -1:

[0162] B, using formula (3), get the original index value Level

[0163]

[0164] ③ If the underlying energy transformation evaluation index F j is a positive correlation indicator, and formula (4) is used for data preprocessing. If the underlying energy transformation evaluation index F j As a negative correlation index, formula (5) is used for data preprocessing to convert the original index value Normalized to a dimensionless quantitative standard value based on 100

[0165]

[0166] For the same reason, if in step ① Arrange in ascending order, then when the underlying energy transformation evaluation index F j is a positive correlation indicator, and formula (5) is used to standardize the data; when the underlying energy transformation evaluation indicator F j It is a negative correlation indicator, and formula (4) is used to standardize the data.

[0167] This step is finished.

[0168] It should be noted that the hierarchical equalization method provided by the present invention to standardize the underlying energy transformation evaluation indicators is an important innovation of the present invention, and has the following advantages in particular:

[0169] 1. Under the premise of ensuring the differentiation of indicators, the huge impact of the absolute difference in the order of magnitude of the underlying indicators caused by differences in resource endowment, area, and population on the energy transformation index of each evaluation object is reduced. For example, the fossil energy consumption indicator is highly correlated with factors such as population and GDP. Although the consumption of evaluation objects with a large population and a high GDP may be slightly higher, their per capita consumption or fossil energy consumption intensity may not be higher than that of countries with relatively low total consumption. However, their total consumption is still high. Therefore, the total number of levels of this indicator P is adjusted by the method of the present invention. jThis 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 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 The smaller the value, the stronger the ability to weaken the score differences caused by resource endowment, area, and population differences. 1<P j ≤M.

[0170] 2. When P j When it is close to or equal to M, the energy transformation comprehensive index (i.e., the final evaluation result) can fully play its role in motivating and guiding, motivating each evaluation object to improve its own ranking, i.e., 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 transformation process. Even when using the pole linear method, if the maximum value MAX (I j ) and the minimum value MIN(I j ) 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 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.

[0171] Example: A linear correlation index F1 (such as energy consumption) of population size is (MAX(I i, -MIN(I i ))=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 )-MIN(I i ))=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 =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.^3 The 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.

[0172] 3. Give P j 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.

[0173] 4. You can use P j The adjustment effectively adjusts the different discrimination degrees of the corresponding indicators for each evaluation object, and the total number of grades P j The more the number, the greater the discrimination; otherwise, the smaller the discrimination.

[0174] Step S4.4, determine the three-level energy transformation index for each three-level energy transformation evaluation indicator:

[0175] For each third-level energy transformation evaluation indicator that does not have a fourth-level energy transformation evaluation indicator, it is a bottom-level energy transformation evaluation indicator, and its indicator standard value has been obtained through step S4.3, which is directly used as its third-level energy transformation transformation index;

[0176] For each third-level energy transformation evaluation indicator with a fourth-level energy transformation evaluation indicator, the method for determining its third-level energy transformation transformation index is as follows: each fourth-level energy transformation evaluation indicator directly under the same third-level energy transformation evaluation indicator is a bottom-level energy transformation evaluation indicator. Therefore, it has an indicator standard value. The corresponding indicator standard value and indicator weight are used for weighted summation to obtain the third-level energy transformation transformation index of the third-level energy transformation evaluation indicator.

[0177] Step S4.5, determine the secondary energy transformation index for each secondary energy transformation evaluation indicator:

[0178] For each third-level energy transformation evaluation indicator directly subordinate to the same second-level energy transformation evaluation indicator, the weight of each third-level energy transformation evaluation indicator and its third-level energy transformation transformation index are weighted and summed to obtain the second-level energy transformation transformation index of the second-level energy transformation evaluation indicator;

[0179] Step S4.6, determine the primary energy transformation index for each primary energy transformation evaluation indicator:

[0180] For each secondary energy transformation evaluation indicator directly subordinate to the same primary energy transformation evaluation indicator, the weight of each secondary energy transformation evaluation indicator and its secondary energy transformation transformation index are weighted and summed to obtain the primary energy transformation transformation index of the primary energy transformation evaluation indicator;

[0181] Step S4.7, determine the comprehensive energy transformation index:

[0182] The weight of each first-level energy change evaluation indicator and its first-level energy change transformation index are weighted and summed to obtain the energy change transformation comprehensive index.

[0183] For example, when N first-level energy transformation evaluation indicators are used, it is assumed that the weights of the N first-level energy transformation evaluation indicators are: w1, w2, ..., w N ,The first-level energy transformation indexes corresponding to each first-level energy transformation evaluation indicator are: ERI1, ERI2,..., ERI N , the following formula is used for weighted summation to obtain the comprehensive energy transformation index ERI:

[0184]

[0185] Where: k = 1, 2, ..., N.

[0186] The quantitative evaluation method for the energy change and transformation level adopted in the present invention accurately and comprehensively conducts quantitative evaluation of each evaluation object in different dimensions, obtains the energy change and transformation index of each dimension, and then weights the energy change and transformation index of each dimension to obtain the comprehensive energy change and transformation index of each evaluation object, thereby comprehensively, systematically and objectively conducting quantitative evaluation of the energy change and transformation situation of different evaluation objects, guiding the energy 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.

[0187] 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.

[0188] A specific embodiment is described below:

[0189] Step S1, comprehensively analyzing the key factors affecting the level of energy transformation and establishing a comprehensive evaluation index system for quantitatively evaluating the level of energy transformation and transition;

[0190] Comprehensive evaluation index system:

[0191] (I) First-level energy transformation evaluation indicators:

[0192] The first-level energy transformation evaluation indicators include energy consumption evaluation indicators, energy supply evaluation indicators, energy technology evaluation indicators, energy policy evaluation indicators and exchange and cooperation evaluation indicators.

[0193] (II) Other energy transformation evaluation indicators:

[0194] (1) Energy consumption dimension:

[0195] The Energy Consumption Transformation Index encourages the promotion of 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 examines important indicators such as total energy consumption, energy consumption structure, energy utilization efficiency, electrification level, and carbon emission intensity.

[0196] Therefore, the secondary energy transformation evaluation indicators of the energy consumption change transformation index include dimensions such as electricity, industry, construction, and transportation; the weight distribution principle is: the four key areas of electricity, industry, construction, and transportation have the same weight, or are divided in proportion according to the energy consumption / carbon emission indicators of electricity, industry, construction, transportation, etc., or are determined by expert survey method.

[0197] Design of underlying indicators:

[0198] 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, the main indicators examined are the electrification rate, power market policy mechanism, power infrastructure development level, electricity price level, and power consumption structure.

[0199] 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 evaluation of the industrial sector adopts indicators such as energy consumption structure, total amount, growth rate, and industrial development index.

[0200] The third dimension is the construction sector: energy consumption in the construction 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, among which heating (cooling) accounts for the largest proportion. In some countries, building energy consumption generally accounts for more than 40% of the total social terminal energy consumption. Energy consumption in the construction 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 construction sector. Therefore, the proportion of clean energy heating (cooling), the use of heat pumps, the proportion of gas utilization, the electrification rate, the price of building energy consumption and other indicators are mainly used to evaluate the energy transformation in the construction sector.

[0201] 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, consider using 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 to evaluate energy transformation in the transportation sector.

[0202] (2) Energy supply dimension:

[0203] Energy supply reform mainly examines whether the energy production, transformation and transportation supply process are clean, low-carbon, safe and efficient. The underlying indicators of the assessment are mainly screened from aspects such as energy production structure, production system, and market mechanism, and encourage the use of clean, low-carbon, safe and efficient energy production and supply methods. Specifically, the main indicators include: whether the primary energy production structure is in line with the direction of transformation and development, the carbon emission intensity generated during energy production and transmission, energy production conversion efficiency, the level of energy supply security, energy supply quality and reliability, and electricity coverage.

[0204] Therefore, the secondary energy transformation evaluation indicators of the energy supply transformation index include four dimensions: clean, low-carbon, safe, and efficient; the weight distribution principle is: the weight of each dimension is the same or determined by expert survey method.

[0205] Design of underlying indicators:

[0206] The first dimension, cleanliness: The core of clean energy supply is to build a new energy system with renewable energy as the main body, including solar energy, wind energy, hydropower, biomass energy, etc. Therefore, this dimension is characterized by the proportion of renewable energy terminal consumption, obstacles to the development of clean energy projects, annual increase in renewable energy installed capacity, per capita renewable energy power generation, and renewable energy installed capacity.

[0207] The second dimension is low carbon: low carbon energy aims to reduce greenhouse gas emissions and carbon footprint. On the one hand, it examines the proportion of low carbon energy in energy supply, and on the other hand, it examines the total amount of greenhouse gas emissions and emission intensity during energy mining, processing, conversion, and transportation. Therefore, indicators such as the proportion of fossil energy power generation and the proportion of emissions in the energy field are used to characterize the low carbon development of energy supply.

[0208] The third dimension, security: The connotation of energy security is the reliability, stability, continuity, security, diversity, fairness, etc. of energy supply, including indicators such as energy self-sufficiency rate, energy supply stability, electricity supply coverage rate, electricity supply stability, and clean kitchen energy. Therefore, the energy supply security dimension is mainly evaluated by indicators such as electricity coverage rate (population), the proportion of the population mainly using clean fuels and technologies, per capita energy consumption, energy self-sufficiency rate, and power supply reliability support policies.

[0209] The fourth dimension, high efficiency: high efficiency includes the high efficiency from primary energy to terminal energy, as well as the high efficiency from primary energy to effective energy. It measures the efficiency of energy development, conversion, transmission and utilization, so as to reduce ineffective energy consumption and waste and improve the overall energy utilization efficiency. At the same time, it examines whether the market plays a role in resource allocation, including indicators such as energy intensity, risk of power abandonment, energy transmission efficiency, energy intensive utilization capacity, and the role of market mechanisms to ensure energy efficiency. Therefore, indicators such as power abandonment risk, industrial competitiveness performance index, and energy intensity are used to evaluate the high efficiency dimension of energy supply.

[0210] (3) Energy technology dimension:

[0211] Energy technology transformation mainly examines the performance of equipment manufacturing, engineering construction, scientific and technological research and development, and comprehensive technology in supporting energy transformation and change.

[0212] Therefore, the secondary energy transformation evaluation indicators of the energy technology transformation index include dimensions such as equipment manufacturing, engineering construction, scientific and technological research and development, and comprehensive technology.

[0213] Design of underlying indicators:

[0214] The first dimension is equipment manufacturing: advanced equipment manufacturing capabilities are a concentrated reflection of the development of energy technology and are the foundation and prerequisite for achieving energy transformation. Sustainable equipment manufacturing output capacity and application deployment are of great significance for ensuring the security of the energy transformation supply chain. The indicators under the equipment manufacturing criteria layer mainly include the production capacity of photovoltaic components and wind turbines in various countries, the development level of the hydrogen energy and battery industry chain, and the import and export of power equipment.

[0215] The second dimension is engineering construction: strong project development and engineering construction capabilities are important carriers for the application of energy technology. Only with excellent construction companies, a capable team of personnel, a complete standard system, and an efficient management model, through high-quality design and construction, based on technical equipment, and large-scale engineering practice, can energy transformation be implemented. The indicators under the engineering construction criteria layer mainly include the number and ranking of engineering designers and contractors in various countries in the world announced by Engineering News-Record (ENR), the number and ranking of professional engineering designers and contractors for water, wind, solar, and power transmission and transformation, etc.

[0216] The third dimension is scientific and technological research and development: sophisticated scientific and technological innovation and problem-solving capabilities are the continuous driving force for promoting technological progress and accelerating energy transformation. In the process of energy transformation, existing equipment routes and engineering technologies will continue to encounter new difficulties and challenges, including both the constraints of objective physical laws and the bottlenecks of cost reduction. Therefore, it is still necessary to carry out forward-looking scientific and technological research and development investment with a problem-oriented approach, optimize or even subvert the existing energy transformation path, update technology with technology, replace innovation with innovation, and continuously consolidate the results of energy transformation. The indicators under the scientific and technological research and development criteria mainly include the number of patents published by the Patent Cooperation Treaty (PCT) related to renewable energy in various countries, the amount of financing for unlisted new energy innovation enterprises, the proportion of production and exports in medium and high-end manufacturing industries, the Competitive Industrial Performance (CIP) index of the United Nations Industrial Development Organization (UNIDO), and the ranking and number of universities with majors in electronic and electrical engineering from QS. The role of the above three dimensions of energy technology transformation can be compared to the classic PID (Proportional-Integral-Derivative) control strategy. Among them, advanced equipment manufacturing plays an amplifying role in energy transformation, which can accelerate the process of energy transformation, similar to the proportion link; high-quality construction projects play a gathering role in energy transformation, which can accumulate the results of energy transformation, similar to the integral link; scientific and technological innovation and research and development play a predictive role in energy transformation, which can look forward to the direction of energy transformation, similar to the differential link. The three links work together to ensure the rapidity, accuracy and robustness of the energy transformation process.

[0217] The fourth dimension, comprehensive technology: considering that some data indicators comprehensively reflect the above three capabilities and cannot be split and classified, they are included in the "Energy Transformation Comprehensive Technology Capabilities" criterion layer. The indicators mainly include the ranking and number of the top 500 new energy companies announced by the Global Top 500 New Energy Companies Summit, the market value and sales of new energy power and electric vehicle listed companies, etc. In summary, the Energy Technology Transformation Index uses a total of 19 underlying indicators.

[0218] (4) Energy policy dimension:

[0219] The assessment of energy policies focuses on the integrity, transparency and feasibility of energy policies at all levels, and is evaluated from the aspects of emission reduction policies, market mechanisms, and industry policies.

[0220] Design of underlying indicators:

[0221] The first dimension is emission reduction policy: focusing on the countries’ participation in the Paris Agreement and the various emission reduction commitments announced, the national emission reduction targets and net zero policies are evaluated from the perspective of national voluntary contribution targets, net zero policies, and carbon neutrality targets, reflecting the strength of the country’s overall energy system transformation. Specifically, it includes five indicators: national voluntary contribution target coverage rate, national voluntary contribution target updates, net zero policies, time difference in achieving dual carbon targets, and long-term strategies.

[0222] The second dimension is market mechanism: evaluate the integrity, efficiency, convenience, inclusiveness and incentive effect of market mechanism in transactions of primary energy, secondary energy, carbon emissions, electric vehicles and other related products. A sound market mechanism is conducive to promoting the rational allocation of social resources, stimulating the enthusiasm of market players, and improving the efficiency of social emission reduction and energy transformation. Specific indicators include standardized purchasing power parity agreements, incentives for electric vehicle purchases, peak capacity procurement, fossil fuel price distortions-subsidies, Power Purchase Agreement (PPA) terms, retail market liberalization, bilateral power contracts, access to electricity, carbon quotas and other related policy systems and market-based mechanisms to promote low-carbon energy transformation.

[0223] The third dimension, industry policy: evaluates the formulation of industry policies and standards in various industries (such as electricity, transportation, construction, energy storage, etc.), mainly examining whether the industry policies are complete, whether the industry standards are mature, whether the industry development goals are clear, whether the industry regulatory system is complete, whether the policies can effectively promote energy transformation, etc., including 11 indicators such as energy storage-specific regulatory framework, availability of loans or grants, retail licenses, energy efficiency plans, building energy performance standards, corporate carbon reduction policies, clean transportation goals, transparent grid expansion plans, power generation license exemptions, renewable energy green consumption market construction levels, and green electricity certificates. In summary, the Energy Policy Change Index uses a total of 25 underlying indicators.

[0224] (5) Communication and cooperation dimension:

[0225] Global energy transformation is a complex and arduous task, facing bottlenecks and challenges in technology and supply chain, as well as huge differences in resource endowments and development stages among countries. It is urgent to strengthen exchanges and cooperation, ensure the smooth flow of technology and funds, and the deep integration of industrial and value chains, gather wisdom and strength, and jointly promote global energy transformation. Among them, support and contribution in terms of funds, technology and supply chain are important driving forces for exchanges and cooperation, while a friendly political and economic environment is an important condition for exchanges and cooperation.

[0226] Design of underlying indicators:

[0227] The first dimension, international contribution:

[0228] It mainly assesses a country's direct and indirect contribution to global energy transformation, including clean energy product production capacity and export volume, energy transformation investment, etc. Specific indicators include battery cell and photovoltaic module production capacity, wind turbine export volume, and energy transformation investment in the past five years.

[0229] The second dimension, cooperation environment: mainly evaluates whether the national environment can attract more foreign investment, whether it can improve the efficiency and benefits of energy transformation projects, whether it can ensure the safe and stable development of projects, and whether it can enhance mutual trust and mutual benefit among partners. Specific indicators include currency fluctuations, foreign investment ratio, national sovereign credit rating, business environment and political governance environment. In summary, the Exchange, Cooperation and Change Index uses a total of 12 underlying indicators.

[0230] In this invention, the system construction, indicator selection, data processing, and evaluation calculation of the energy transformation index follow the principles of comprehensiveness, comparability, authority, objectivity, sustainability, and adaptability:

[0231] 1. Principle of comprehensiveness:

[0232] Energy transformation is a complex systematic project that requires comprehensive consideration from multiple dimensions to ensure the comprehensiveness of indicators, including energy consumption, energy supply, energy technology, energy policy, and exchange and cooperation, so as to fully reflect the country's energy transformation.

[0233] (II) Principle of comparability:

[0234] Ensure that the indicators are designed to be comparable so that the energy transition situations in different countries can be directly compared. This requires the selection of consistent data sources, unified measurement units and similar assessment methods.

[0235] (III) Principle of authority:

[0236] The data and information released by authoritative organizations and independent third parties are used as the basis, such as the International Energy Agency (IEA), to ensure that the data sources are reliable and fair.

[0237] (IV) Principle of objectivity:

[0238] Use objective data and objective indicators for evaluation to avoid the influence of subjective judgment and personal bias.

[0239] (V) Principle of continuity:

[0240] Energy transformation is a dynamic process and the evaluation should be continuous, updated and adjusted over time to reflect the development and changes in energy transformation.

[0241] (VI) Principle of adaptability:

[0242] Respect the national conditions of each country, take into account the differences in development stages and foundations of various countries and regions, and focus on the adaptability of the assessment.

[0243] Step S2, determine the scope of evaluation objects and the evaluation time and frequency according to the evaluation requirements;

[0244] In this embodiment, the evaluation object scope includes 65 countries, and each country is an evaluation object. The evaluation time frequency is once a year.

[0245] Step S3, according to the scope of the evaluation object, the nature of each evaluation object in the scope of the evaluation object, and the evaluation time frequency, combined with the trusted underlying indicator database resources, select a number of appropriate first-level energy transformation evaluation indicators, second-level energy transformation evaluation indicators, third-level energy transformation evaluation indicators, and fourth-level energy transformation evaluation indicators from the comprehensive evaluation indicator system to construct an energy transformation transformation evaluation indicator system;

[0246] In order to subsequently calculate the comprehensive energy transformation index of each evaluation object in each evaluation period, in this step, the indicator name and indicator definition of each underlying energy transformation evaluation indicator are determined at the same time, and the indicator data acquisition method, preprocessing rules (assignment, vacancy value processing, outlier 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 underlying energy transformation evaluation indicator of each evaluation object is obtained through preprocessing; at the same time, the weights of other energy transformation evaluation indicators at all levels also need to be determined.

[0247] 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 65 countries in the world in terms of GDP or population. In combination with the above principles, the weights of energy transformation evaluation indicators at all levels (including first-level energy transformation evaluation indicators to fourth-level energy transformation evaluation indicators) are determined through expert survey method; the indicator preprocessing methods and rules of each underlying energy transformation evaluation indicator are determined through expert survey method: for non-numerical indicators, discretization assignment is performed according to the meaning of the indicator and possible situations, and the assignment rules of each non-numerical indicator are determined by expert survey method. For the case where a few objects of a certain indicator have vacant values, the analogy method is preferred for assignment, 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 and negative correlation between the indicator and the dimensionless quantitative value is determined by the direction of the indicator and the energy transformation transformation goal. The indicator that promotes energy transformation 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 shoulder-pole linear method should be used first, otherwise the hierarchical equalization method should be used.

[0248] In this embodiment, the established energy transformation and transition evaluation index system, as shown in Table 1, includes five first-level energy transformation evaluation indicators, namely: energy consumption evaluation index, energy supply evaluation index, energy technology evaluation index, energy policy evaluation index and exchange and cooperation evaluation index.

[0249] For the primary evaluation index of energy consumption, the energy consumption evaluation index system and the relevance, standardization method and weight (%) of each index are shown in Table 2;

[0250] For the primary evaluation index of energy supply, the energy supply evaluation index system and the relevance, standardization method and weight (%) of each index are shown in Table 3;

[0251] For the first-level evaluation indicators of energy technology, its energy technology evaluation indicator system and the relevance, standardization method and weight (%) of each indicator are shown in Table 4;

[0252] For the first-level evaluation indicators of energy policy, the energy policy evaluation indicator system and the relevance, standardization method and weight (%) of each indicator are shown in Table 5;

[0253] For the first-level evaluation indicators of communication and cooperation, the evaluation indicator system of communication and cooperation as well as the relevance, standardization method and weight (%) of each indicator are shown in Table 6.

[0254] Table 1 Energy transformation evaluation index system

[0255]

[0256] Table 2 Energy consumption indicator system

[0257]

[0258]

[0259] Table 3 Energy supply indicator system

[0260]

[0261]

[0262] Special note: Because a considerable number of countries have energy self-sufficiency rates exceeding 100%, the hierarchical equalization method is used for countries with energy self-sufficiency rates greater than 100%, and the shoulder-pole linear method is used for countries with energy self-sufficiency rates less than or equal to 100%.

[0263] Table 4 Energy technology indicator system

[0264]

[0265]

[0266] Special note: The indicators marked with * are composed of multiple aspects, each with equal weight, and the underlying indicators are obtained through comprehensive calculation.

[0267] Table 5 Energy policy indicator system

[0268]

[0269]

[0270] Table 6 Exchange and cooperation indicator system

[0271]

[0272]

[0273] Step S4, according to the evaluation time frequency and the energy transformation evaluation index system, quantitatively evaluate the energy transformation level of each evaluation object in the evaluation object range to obtain the energy transformation comprehensive index of each evaluation object in each evaluation period.

[0274] In this example, 65 countries and regions are selected as evaluation objects for analysis. The number of levels P of the hierarchical equality method jThe weights of the secondary energy transformation evaluation indicators in each dimension are determined as follows:

[0275] In the field of energy consumption, the energy consumption evaluation index system in Table 2 is adopted, and the weight values ​​of the four dimensions of power, industry, construction, and transportation in its secondary energy transformation evaluation index are taken as 0.4, 0.2, 0.2, and 0.2 respectively, and the energy consumption transformation index and the results of indicators in each dimension shown in Table 7 can be obtained;

[0276] In the field of energy supply, when the energy supply evaluation index system in Table 3 is adopted, and the weight values ​​of the four dimensions of clean, low-carbon, safe and efficient in its secondary energy transformation evaluation index are taken as 0.2, 0.2, 0.4 and 0.2 respectively, the energy supply transformation index and the results of indicators in each dimension shown in Table 8 can be obtained;

[0277] In the field of energy technology, when the energy supply evaluation index system in Table 4 is adopted, and the weight values ​​of the four dimensions of equipment manufacturing, engineering construction, scientific and technological research and development, and comprehensive technology in the secondary energy transformation evaluation index are all 0.25, the energy technology transformation index and the results of indicators in each dimension shown in Table 9 can be obtained;

[0278] In the field of energy policy, when the energy supply evaluation index system in Table 5 is adopted, and the weight values ​​of the three dimensions of emission reduction policy, market mechanism and industry policy in its secondary energy transformation evaluation index are all 0.33, the energy policy transformation index and the results of indicators in each dimension shown in Table 10 can be obtained;

[0279] In the field of communication and cooperation, when the energy supply evaluation index system in Table 6 is adopted, and the weight values ​​of the two dimensions of external contribution and cooperation environment of its secondary energy transformation evaluation indicators are both 0.5, the communication and cooperation transformation index and the results of indicators in each dimension shown in Table 11 can be obtained.

[0280] Among them, in Tables 7 to 11, only the top 10 evaluation objects are shown:

[0281] Table 7: Evaluation results of energy consumption transformation

[0282] nation electricity industry architecture transportation Energy Consumption Transformation Index 1. Country 1 52.95 97.85 100.00 90.85 78.92 2. Country 2 89.85 55.65 83.35 71.50 78.04 3. Country 3 72.48 69.90 87.50 84.05 77.28 4. Country 4 60.70 91.65 83.35 76.05 74.48 5. Country 5 59.25 83.00 87.50 82.40 74.28 6. Country 6 60.95 85.95 79.15 81.90 73.78 7. Country 7 58.10 75.20 91.65 85.05 73.62 8. Country 8 57.55 84.10 79.15 88.90 73.45 9. Country 9 66.60 62.50 87.50 83.50 73.33 10. Country 10 56.30 86.75 75.00 91.15 73.09

[0283] Table 8: Evaluation results of energy supply transformation

[0284] nation clean Low Carbon Safety Efficient Energy Supply Transformation Index 1. Country 1 62.60 82.66 70.99 66.81 70.81 2. Country 2 65.05 67.58 81.85 55.19 70.30 3. Country 3 45.15 92.53 59.09 85.74 68.32 4. Country 4 72.34 73.27 70.80 52.98 68.04 5. Country 5 66.17 64.01 85.11 32.49 66.58 6. Country 6 45.42 82.13 65.82 70.99 66.04 7. Country 7 52.68 72.68 74.67 51.04 65.15 8. Country 8 88.75 27.79 65.33 73.87 64.22 9. Country 9 51.53 70.04 63.72 69.93 63.78 10. Country 10 48.76 75.02 71.81 50.66 63.62

[0285] Table 9: Results of energy technology transformation evaluation

[0286]

[0287]

[0288] Table 10: Results of the evaluation of energy policy reform and transformation

[0289] nation Emission reduction policies Market Mechanism Industry Policy Energy Policy Change Transformation Index 1. Country 1 92.38 87.74 66.51 80.16 2. Country 2 73.33 99.61 67.26 78.74 3. Country 3 78.29 93.98 63.96 77.18 4. Country 4 86.29 83.13 66.70 76.83 5. Country 5 82.86 85.54 64.77 75.96 6. Country 6 80.24 79.90 72.05 75.73 7. Country 7 74.86 90.06 65.94 75.50 8. Country 8 76.38 87.60 64.64 74.67 9. Country 9 90.10 85.00 54.64 74.51 10. Country 10 87.45 81.59 57.79 73.62

[0290] Table 11: Evaluation results of communication and cooperation transformation

[0291] nation Collaborative Environment International Contribution Exchange, Cooperation, Change and Transformation Index 1. Country 1 97.28 80.00 87.78 2. Country 2 94.35 79.09 85.96 3. Country 3 99.36 70.91 83.71 4. Country 4 89.52 72.73 80.28 5. Country 5 98.58 58.86 79.60 6. Country 6 96.64 65.00 79.24 7. Country 7 99.32 54.55 77.51 8. Country 8 65.48 86.36 76.97 9. Country 9 85.03 65.91 74.51 10. Country 10 87.42 61.59 73.22

[0292] It should be noted that in each of Tables 7 to 11, Country 1 to Country 10 represent different countries in each separate table, but different tables use different country numbering methods. Therefore, in different tables, the same country number may represent the same country or different countries; similarly, different country numbers in different tables may represent the same country or different countries. For example, Country 1 in Table 7 and Country 1 in Table 8 may be the same or different.

[0293] In addition, 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.

[0294] Step S5, analyzing the evaluation results: analyzing the performance of the evaluation object in the current energy transformation through the comprehensive energy transformation index of each evaluation object and the first-level energy transformation index corresponding to each first-level energy transformation evaluation indicator of each evaluation object.

[0295] By analyzing Tables 7 to 11, the following conclusions are obtained:

[0296] Evaluation results in the field of energy consumption: Combined with Table 7, the following conclusions can be analyzed: 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.

[0297] Evaluation results in the field of energy supply: Combined with Table 8, the following conclusions can be analyzed: The top-ranked countries have excellent performance in clean, low-carbon, safe and efficient energy supply. The top-ranked countries have outstanding status or motivation for change in energy low-carbon transformation, supply security, energy efficiency, etc. The electricity production of the top-ranked countries is mainly renewable energy, which better guarantees the power supply of the country and provides green and clean electricity to other neighboring countries. The energy supply of most countries in the world is still dominated by fossil energy, and non-fossil energy accounts for a low proportion.

[0298] The evaluation results show that the future development direction of energy supply is, first, the development and utilization of large-scale, high-proportion renewable energy; second, the improvement of electricity supply penetration; third, with the development of renewable energy and electrification, the energy supply security of some countries with poor energy resources will be strengthened; and finally, the efficiency of energy supply will be improved, especially the intensive and large-scale transformation and utilization from primary energy to terminal energy.

[0299] The evaluation results in the field of energy technology, the field of energy policy, and the field of exchange and cooperation will not be described in detail here.

[0300] To sum up, the quantitative evaluation method for the level of energy change and transformation provided by the present invention can obtain the comprehensive index of energy change and transformation for each evaluation object, which characterizes the progress and overall performance of the evaluation object in promoting energy change. It mainly evaluates the performance of the evaluation object in promoting low-carbon, green and sustainable development, ensuring energy security, improving energy efficiency, as well as broad unity, promoting international cooperation and concerted action. It is an indicator and evaluation system for comprehensively evaluating the current status and progress of energy change.

[0301] The comprehensive energy transformation index consists of five sub-indices, namely, energy consumption transformation index, energy supply transformation index, energy technology transformation index, energy policy transformation index and exchange and cooperation transformation index. Each index contains several key indicators, which depict the development status and transformation momentum of energy structure, energy security, energy efficiency, energy technology, renewable energy development, carbon emission control, energy policy and exchange and cooperation.

[0302] Based on a comprehensive analysis of the factors affecting energy transformation and the current status of global energy development, the Energy Transformation Index adheres to the five principles of science, comprehensiveness, objectivity, authority, and sustainability, and constructs an evaluation system from five dimensions: energy consumption, energy supply, energy technology, energy policy, and exchange and cooperation. The evaluation system is based on 17 criteria layers and 90 underlying indicators that characterize the current status and potential of energy transformation. Weights are assigned through expert surveys, and the Energy Transformation Index is finally calculated to objectively and comprehensively evaluate the energy transformation of each evaluation object.

[0303] The Energy Transformation Index assessment process can be described as follows:

[0304] Determine the scope of the evaluation: clarify the scope of the evaluation objects to be evaluated. Comprehensively consider the impact of economic development, population, energy production and consumption and other factors on the global energy system, determine the scope of the evaluation objects, and finally select 65 key evaluation objects for evaluation, and conduct an overall evaluation of global changes.

[0305] Construct an indicator system: Select 90 quantitative indicators from five dimensions: energy consumption, energy supply, energy technology, energy policy, and exchange and cooperation to establish an indicator system.

[0306] Collect indicator data: Collect data through multiple channels, carry out data cleaning and verification, and ensure the accuracy, completeness, reliability and authority of the data.

[0307] Calculate the energy transformation index: Calculate the energy transformation index for 90 indicators in five dimensions of energy consumption, energy supply, energy technology, energy policy, and communication and cooperation for all 65 evaluation objects, and count the scores of each item and the comprehensive score to rank the energy transformation index of the evaluation objects. First, assign values ​​to key factors, and perform quantitative assignment processing on some non-numerical indicators. Second, data standardization aims to eliminate the differences in characteristic attributes such as properties, dimensions, and magnitudes between different variables, and convert them into a dimensionless relative value, that is, a standardized value, so that the values ​​of each indicator are at the same level, so that indicators of different units or magnitudes can be comprehensively analyzed and calculated. The main methods used include: shoulder pole linear method and hierarchical equality method. Third, determine the indicator weights. Based on the collected data and information, construct an evaluation system for the energy transformation index, and determine the weights of each dimension and indicator. After the weights of each indicator are initially determined, it is necessary to perform trial calculations and use the expert survey method to invite interdisciplinary experts to review the weight results to optimize the indicator weights. Analyze the evaluation results: Statistically analyze the evaluation results of each evaluation object in different dimensions and indicators.

[0308] 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 within the scope of protection of the present invention.

Claims

1. A quantitative evaluation method for energy transformation, characterized by: The following steps are involved: Step S1, comprehensively analyzing the key factors affecting the level of energy transformation and transition, and establishing a comprehensive evaluation index system for quantitatively evaluating the level of energy transformation and transition; the comprehensive evaluation index system includes a target layer, a system layer, a criterion layer and an indicator layer according to a hierarchical structure; the target layer is an energy transformation and transition comprehensive index; the system layer includes a number of first-level energy transformation evaluation indicators; the criterion layer includes a number of second-level energy transformation evaluation indicators; the indicator layer includes a number of third-level energy transformation evaluation indicators and a number of fourth-level energy transformation evaluation indicators as the next level of the third-level energy transformation 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 the evaluation object, the nature of each evaluation object in the scope of the evaluation object, and the evaluation time frequency, combined with the trusted underlying indicator database resources, select a number of appropriate first-level energy transformation evaluation indicators, second-level energy transformation evaluation indicators, third-level energy transformation evaluation indicators, and fourth-level energy transformation evaluation indicators from the comprehensive evaluation indicator system to construct an energy transformation transformation evaluation indicator system; Step S4, according to the evaluation time frequency and the energy transformation evaluation index system, quantitatively evaluate the energy transformation level of each evaluation object in the evaluation object range to obtain the energy transformation comprehensive index of each evaluation object in each evaluation period.

2. The energy transformation quantitative evaluation method according to claim 1 is characterized in that: The establishment process of the comprehensive evaluation index system is as follows: Step S1.1, taking the comprehensive index of energy transformation and transition as the target of the target layer as the root node; Step S1.2, determining a plurality of evaluation dimensions for evaluating the degree of energy transformation, each evaluation dimension being used as one of the first-level energy transformation evaluation indicators in the system layer; Step S1.3, determining multiple evaluation criteria for evaluating the degree of energy transformation under each evaluation dimension, each evaluation criterion being a secondary energy transformation evaluation indicator in the criterion layer and a direct subordinate indicator corresponding to the evaluation dimension; Step S1.4, determining a plurality of third-level energy transformation evaluation indicators for evaluating the degree of energy transformation under each of the evaluation criteria, and a fourth-level energy transformation evaluation indicator under the third-level energy transformation evaluation indicator, to form the indicator layer; wherein, if each of the third-level energy transformation evaluation indicators has a fourth-level energy transformation evaluation indicator as its subordinate, then all the fourth-level energy transformation evaluation indicators are bottom-level energy transformation evaluation indicators; if only some of the third-level energy transformation evaluation indicators have a fourth-level energy transformation evaluation indicator as its subordinate, then all the fourth-level energy transformation evaluation indicators and the third-level energy transformation evaluation indicators without the fourth-level energy transformation evaluation indicator are bottom-level energy transformation evaluation indicators; Thus, the comprehensive evaluation index system is established.

3. The method for quantitatively evaluating the level of energy transformation and transition according to claim 2 is characterized in that: The first-level energy transformation evaluation indicators include energy consumption evaluation indicators, energy supply evaluation indicators, energy technology evaluation indicators, energy policy evaluation indicators and exchange and cooperation evaluation indicators.

4. The method for quantitatively evaluating the level of energy transformation and transition according to claim 3 is characterized in that: The secondary energy transformation evaluation indicators under the energy consumption evaluation indicators include: energy consumption evaluation indicators in the power sector, energy consumption evaluation indicators in the industrial sector, energy consumption evaluation indicators in the construction sector, and energy consumption evaluation indicators in the transportation sector; The secondary energy transformation evaluation indicators under the energy supply evaluation indicators include: energy supply cleanliness evaluation indicators, energy supply low-carbon evaluation indicators, energy supply security evaluation indicators and energy supply high efficiency evaluation indicators; The secondary energy transformation evaluation indicators under the energy technology evaluation indicators include: equipment manufacturing energy technology evaluation indicators, engineering construction energy technology evaluation indicators, science and technology research and development energy technology evaluation indicators and energy transformation comprehensive technology evaluation indicators; The secondary energy transformation evaluation indicators under the energy policy evaluation indicators include: emission reduction policy evaluation indicators, energy-related market mechanism evaluation indicators and energy-related industry policy evaluation indicators; The secondary energy transformation evaluation indicators under the exchange and cooperation evaluation indicators include: energy transformation contribution evaluation indicators and energy cooperation environment evaluation indicators.

5. The method for quantitatively evaluating the level of energy transformation and transition according to claim 2 is characterized in that: Step S4 is specifically as follows: Step S4.1, determining the indicator data acquisition method and indicator data preprocessing rules according to the indicator characteristics of each of the underlying energy transformation evaluation indicators; Step S4.2, determine the weights of indicators at each level: In the energy transformation and transition evaluation index system, the influence of each first-level energy transformation evaluation index at the same level on the target layer of its parent level is analyzed to obtain the weight of each first-level energy transformation evaluation index; Analyze the influence of each secondary energy transformation evaluation indicator under each primary energy transformation evaluation indicator on the primary energy transformation evaluation indicator of its parent level, and obtain the weight of each secondary energy transformation evaluation indicator; Analyze the influence of each third-level energy transformation evaluation indicator under each second-level energy transformation evaluation indicator on the second-level energy transformation evaluation indicator of its parent level, and obtain the weight of each third-level energy transformation evaluation indicator; Analyze the influence of each of the four-level energy transformation evaluation indicators under each three-level energy transformation evaluation indicator on the three-level energy transformation evaluation indicator of its parent level, and obtain the weight of each of the four-level energy transformation evaluation indicators; Step S4.3, assuming that the evaluation object range has M evaluation objects, represented by evaluation object i, i = 1, 2, ..., M; According to the indicator data acquisition method determined in step S4.1, the original indicator value of each of the underlying energy transformation evaluation indicators for each evaluation object i is obtained. Since there are M evaluation objects, M original indicator values ​​of the underlying energy transformation evaluation indicators are obtained; According to the index data preprocessing rule determined in step S4.1, the M original index values ​​are preprocessed and standardized to obtain an index standard value for each original index value, wherein the index standard value is a dimensionless quantitative standard value; Step S4.4, determine the three-level energy transformation index for each three-level energy transformation evaluation indicator: For each third-level energy transformation evaluation indicator that does not have a fourth-level energy transformation evaluation indicator, it is a bottom-level energy transformation evaluation indicator, and its indicator standard value has been obtained through step S4.3, which is directly used as its third-level energy transformation transformation index; For each third-level energy transformation evaluation indicator with a fourth-level energy transformation evaluation indicator, the method for determining its third-level energy transformation transformation index is as follows: each fourth-level energy transformation evaluation indicator directly under the same third-level energy transformation evaluation indicator is a bottom-level energy transformation evaluation indicator. Therefore, it has an indicator standard value. The corresponding indicator standard value and indicator weight are used for weighted summation to obtain the third-level energy transformation transformation index of the third-level energy transformation evaluation indicator. Step S4.5, determine the secondary energy transformation index for each secondary energy transformation evaluation indicator: For each third-level energy transformation evaluation indicator directly subordinate to the same second-level energy transformation evaluation indicator, the weight of each third-level energy transformation evaluation indicator and its third-level energy transformation transformation index are weighted and summed to obtain the second-level energy transformation transformation index of the second-level energy transformation evaluation indicator; Step S4.6, determine the primary energy transformation index for each primary energy transformation evaluation indicator: For each secondary energy transformation evaluation indicator directly subordinate to the same primary energy transformation evaluation indicator, the weight of each secondary energy transformation evaluation indicator and its secondary energy transformation transformation index are weighted and summed to obtain the primary energy transformation transformation index of the primary energy transformation evaluation indicator; Step S4.7, determine the comprehensive energy transformation index: The weight of each first-level energy change evaluation indicator and its first-level energy change transformation index are weighted and summed to obtain the energy change transformation comprehensive index.

6. The method for quantitatively evaluating the level of energy transformation and transition according to claim 5 is characterized in that: Method for obtaining indicator data of the underlying energy transformation evaluation indicator: If the underlying energy transformation evaluation index is a non-numerical index, the expert survey method is used to discretize and assign values ​​to the underlying energy transformation evaluation index of each evaluation object according to the meaning of the index; if a certain underlying energy transformation evaluation index of an evaluation object is missing, the analogy method is used to assign values, that is, the value of the underlying energy transformation evaluation index of the evaluation object with similar situation is assigned to the missing object; If there are no other valuable evaluation objects with similar situations, then according to the performance of the evaluation object on the underlying energy transformation evaluation indicator, the characteristic values ​​of the underlying energy transformation evaluation indicator of the remaining valuable evaluation objects are assigned, including the maximum value, minimum value, average value and median value; If the underlying energy transformation evaluation indicator is a numerical indicator, its numerical value is directly used as the original indicator value of the underlying energy transformation evaluation indicator.

7. The method for quantitatively evaluating the level of energy transformation and transition according to claim 5 is characterized in that: The indicator data preprocessing rules are: It is determined comprehensively based on the characteristics and credibility of the underlying energy transformation evaluation indicators. Specifically, if it is a numerical evaluation indicator with high credibility, 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 transformation and transition according to claim 7 is characterized in that: Step S4.3 is specifically as follows: Step S4.3.1, for each of the underlying energy transformation evaluation indicators, expressed as underlying energy transformation evaluation indicator F j ; Step S4.3.2, determine the underlying energy transformation evaluation index F j The positive and negative correlation of If the underlying energy transformation evaluation index F j When the growth rate is high, the energy transformation is promoted, then the underlying energy transformation evaluation index F j It is positively correlated with the energy transformation transformation target. The underlying energy transformation evaluation index F j It is a positive correlation indicator; On the contrary, if the underlying energy transformation evaluation indicator F j When the growth is hindered, the energy transformation will be hindered. Then the underlying energy transformation evaluation index F j It is negatively correlated with the energy transformation target. The underlying energy transformation evaluation index F j It is a negative correlation indicator; Step S4.3.3, according to the indicator data preprocessing rules, for the underlying energy transformation evaluation indicator F that uses the pole linear method for data preprocessing j , execute step S4.3.4; For the underlying energy transformation evaluation index F, which uses the hierarchical equalization method for data preprocessing, j , execute step S4.3.5; Step S4.3.4, data preprocessing using the shoulder pole linear method: For M evaluation objects, the underlying energy transformation evaluation index F j The original index values ​​are: Sure The maximum value MAX(I j ) and the minimum value MIN(I j ); if the underlying energy transformation evaluation index F j is a positive correlation indicator, and formula (1) is used for data preprocessing. If the underlying energy transformation evaluation indicator F j As a negative correlation index, formula (2) is used for data preprocessing to convert the original index value Normalized to a dimensionless quantitative standard value based on 100 i=1,2,...,M; Step S4.3.5, data preprocessing using the hierarchical equalization method: According to each underlying energy transformation evaluation indicator F j The positive and negative correlation of the evaluation object i is obtained by using the corresponding hierarchical equalization method to preprocess the data. j The original index value Standardization to obtain dimensionless quantitative standard value 9. The method for quantitatively evaluating the level of energy transformation and transition according to claim 8 is characterized in that: In step S4.3.5, the hierarchical equalization method is used to convert the underlying energy transformation evaluation index F of the evaluation object i into j The original index value Standardization to obtain dimensionless quantitative standard value Specifically: ① For M evaluation objects, determine each underlying energy transformation evaluation indicator F j P j Levels, namely, level 1, level 2, ..., level P j Level; where the level number P j Determined by expert survey method, and 1<P j ≤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 Determine the original index value by the following method 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 -1; if not true, then add to the intermediate variable Assign P j , then execute A3; Condition 1: A3, judge whether condition 2 is true, if true, then add Assign P j -2; if not, the intermediate variable V Pj-1 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 -3; if not, the intermediate variable Assign the value of Condition 3: And so on Judgment Condition P j -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 -1: B, using formula (3), get the original index value Level ③ If the underlying energy transformation evaluation index F j is a positive correlation indicator, and formula (4) is used for data preprocessing. If the underlying energy transformation evaluation index F j As a negative correlation index, formula (5) 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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