CN116644995A - Energy-saving and carbon-reducing evaluation method for chemical fiber enterprise coupling multiple factors - Google Patents
Energy-saving and carbon-reducing evaluation method for chemical fiber enterprise coupling multiple factors Download PDFInfo
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Abstract
The invention discloses an energy-saving and carbon-reducing evaluation method for a chemical fiber enterprise coupling multiple factors. The invention adopts the technical scheme that: establishing an energy-saving and carbon-reducing index system of a chemical fiber enterprise, wherein the system comprises: energy factors of the current situation of energy consumption of enterprises are measured, energy-saving factors of energy-saving achievements of the enterprises are measured, profit capability of the enterprises, economic factors of energy-saving and carbon-reducing investment are measured, and environmental factors of waste treatment of the enterprises are measured; respectively weighting the indexes by adopting an entropy method in an objective weighting method and a hierarchical analysis method in subjective weighting, and combining weights respectively obtained by the subjective weighting method and the objective weighting method by adopting a game theory combined weighting method to form final weights; and comprehensively evaluating the energy conservation and carbon reduction of the chemical fiber enterprise according to the energy conservation and carbon reduction index system and the final weight of the index. The method is used for solving the problems of unreasonable energy-saving evaluation indexes and unscientific evaluation methods of the existing chemical fiber enterprises, can effectively evaluate the energy-saving and carbon-reduction achievements of the chemical fiber enterprises, and guides the energy-saving and carbon-reduction directions of the chemical fiber enterprises.
Description
Technical Field
The invention relates to the technical field of energy conservation and carbon reduction, in particular to an energy conservation and carbon reduction evaluation method for a chemical fiber enterprise coupling multiple factors.
Background
The chemical fiber industry with high energy consumption and high carbon emission is one of industries with larger energy saving potential in industrial departments. The energy efficiency is improved by updating the process technology of chemical fiber enterprises, the waste heat recovery is carried out by applying a low-temperature heat recovery method, the energy management is enhanced, the aim is to produce low-carbon products, and the method has important significance for benign construction and development of energy conservation and carbon reduction projects of chemical fiber enterprises and efficient low-carbon sustainable development of production processes.
The analysis and evaluation of the energy-saving and carbon-reducing level of the enterprises in China are studied to a certain extent, the energy-saving evaluation system for the chemical fiber enterprises, which is used for coupling energy sources, economy, environment and other factors, is not available in the current research, and the evaluation index for the specific energy-saving measures of the chemical fiber enterprises, especially the work in the aspect of low-temperature heat recovery, is also lacking. Therefore, the energy-saving and carbon-reduction evaluation method for the chemical fiber enterprises, which is provided with the coupling energy level, the energy-saving technology, the economic benefit and the environmental protection multifactor, has important significance and value for reasonably evaluating the energy-saving and carbon-reduction results of the chemical fiber enterprises, guiding the working direction of the energy-saving and carbon-reduction of the chemical fiber enterprises, improving the overall energy utilization and the economic benefit of the chemical fiber enterprises and ensuring the stable development of the chemical fiber industry towards the low-carbon and high-efficiency directions.
Disclosure of Invention
The invention provides an energy-saving and carbon-reduction evaluation method for chemical fiber enterprises, which is used for solving the problems of unreasonable energy-saving evaluation indexes and unscientific evaluation methods of the existing chemical fiber enterprises.
In order to achieve the above purpose, the invention adopts the following technical scheme: a method for evaluating energy conservation and carbon reduction of a chemical fiber enterprise coupled with multiple factors comprises the following steps:
step S1, an energy-saving and carbon-reducing index system of a chemical fiber enterprise is established, and the system comprises: energy factors of the current situation of energy consumption of enterprises are measured, energy-saving factors of energy-saving achievements of the enterprises are measured, profit capability of the enterprises, economic factors of energy-saving and carbon-reducing investment are measured, and environmental factors of waste treatment of the enterprises are measured;
step S2, weighting the indexes by adopting an entropy method in an objective weighting method and a hierarchical analysis method in subjective weighting, and combining weights obtained by the objective weighting method and the objective weighting method into final weights by adopting a game theory combined weighting method;
and S3, comprehensively evaluating the energy conservation and carbon reduction of the chemical fiber enterprise according to the energy conservation and carbon reduction index system and the final weight of the index.
Further, the clean energy source in step S1 includes green electric power and natural gas, and the duty ratio calculation formula is:
wherein, CP is the clean energy duty ratio; AD is energy consumption; FC is the standard coal coefficient; i is the energy category, wherein p is the number of clean energy categories, and q is the number of total energy categories.
Further, the waste heat recovery and utilization efficiency in the step S1 is mainly that waste heat discharged by a dryer and an air compression system and waste heat of flue gas of a coal-fired boiler and a heat conduction boiler can be recovered; according to the waste heat recovery method, the waste heat utilization efficiency is calculated through energy level reduction quantization, and the calculation formula is as follows:
for the heat exchange utilization method:
in the formula, deltaOmega r The energy level for heat exchange is reduced; t (T) 0 、T 1 、T 2 The temperature of the waste heat flow is respectively the ambient temperature, the input waste heat flow temperature and the waste heat flow temperature during heat exchange utilization and recovery; en is provided with 0,r For the heat contained in the residual heat flow lost during heat exchange utilization, en 1 The heat contained in the waste heat is input;
for the power utilization method:
in the formula, deltaOmega d The energy level for power utilization decreases; en is provided with 0,d Is the heat contained in the residual heat flow lost during power utilization.
Further, in the environmental factor indexes related to step S1, the carbon emission generated by energy consumption is calculated by using the carbon emission calculation boundary of the carbon emission accounting boundary of the unit product of the enterprise, and the carbon emission calculation method adopts an emission coefficient method, and the calculation method is as follows:
in the method, in the process of the invention,carbon dioxide emission of unit products of enterprises, and AD is energy consumption; f is the standard coal coefficient; i is an energy category; c is the product yield.
Further, in step S2, the method for calculating the index weight by applying the objective weighting method, i.e. the entropy method is as follows:
5.1.1, first, non-negative normalization processing is performed on the data: the indexes of different units are dimensionless, so that the indexes are comparable, and the method is carried out in the following way:
forward index:
negative index:
wherein X is ij Is a data index; i=1, 2, …, m; j=1, 2, …, n; m is the number of schemes, n is the index number;
5.1.2, determining the index specific gravity: calculating the proportion of a certain index in the total amount of the index under different schemes:
wherein P is ij The specific gravity of the ith scheme in the jth index; i=1, 2, …, m; j=1, 2, …, n;
5.1.3 index entropy calculation:
k＝1lnm
in the formula e j Is the entropy value of the j-th index; i=1, 2, …, m; j=1, 2, …, n;
5.1.4 entropy value method weight calculation:
g j ＝1-e j
in which W is j Is the weight of the j index g j Is the coefficient of difference of the j-th index. j=1, 2, …, n;
further, in step S2, a subjective weighting method, that is, a method for calculating the index weight by using an analytic hierarchy process, is as follows:
6.1.1 construction of comparison matrix: quantizing the relative importance degree between the input of each index in the matrix, and the element a of the ith row and the jth column of the matrix ij The quantization rule of (2) is as follows:
index i is of equal importance as index j, a ij 1 is shown in the specification;
index i is important compared with index j, a ij 3;
index i is extremely important as compared with index j, then a ij 5;
two adjacent judged intermediate values, a ij 2 and 4;
sorting the available comparison matrix A:
wherein A is an n-order square matrix, and n is an index number;
6.1.2, adjusting the judgment matrix, wherein the method comprises the following steps:
step1, calculating the maximum eigenvalue of the judgment matrix, and calculating a satisfaction consistency index, and if the satisfaction consistency ratio CR is smaller than 0.1, turning to Step5 without adjustment:
wherein CI is a satisfactory consistency index; lambda (lambda) max The characteristic value of the matrix A is the largest;
wherein CR is a satisfactory consistency ratio; RI is an average random consistency index, and is determined by the order of the matrix A;
step2, calculating a feature vector by using a geometric mean method:
wherein omega is i The weight of the i index;
constructing a consistency matrix W:
calculating a disturbance matrix D:
D＝A-W
ordering the absolute values of the non-diagonal elements from large to small to obtain a result
Step3, adjust l s Corresponding element a ij Wherein
3) If a is ij >1 and d ij >0, then a ij Lowering by one scale, i.e. a ij -1, if a ij =2, then not adjusted;
4) If a is ij >1 and d ij <0, then a ij Raising a scale, i.e. a ij +1, if a ij =9, then not adjusted;
simultaneously adjust a ji Maintaining the reciprocal matrix;
step4. Marking the adjusted matrix as A s Calculating a satisfaction consistency index, and if the satisfaction index is met, turning to Step5;
step5. Calculate A s And (5) the maximum characteristic value and the characteristic vector thereof, and obtaining each index weight after normalizing the characteristic vector.
Further, in step S2, the method of combining the hierarchical analysis method weighting with the entropy value method weighting is as follows:
7.1.1 establishing an objective function according to the idea of game theory, taking the minimum sum of the dispersion of the combined index weight W and W1 and W2 as the target, and searching for the optimal linear combination coefficient; according to the differential principle, the first derivative condition of the minimum value of the objective function is:
in which W is 1 、W 2 Weights calculated by entropy method and weights calculated by analytic hierarchy process respectively, lambda 1 、λ 2 Is a weight combination coefficient;
solving weight combination coefficients:
in the method, in the process of the invention,the optimal weight combination coefficient;
7.1.2, calculating to obtain final weight: calculating final weights according to the solved optimal weight combination coefficients:
in which W is * Is the final weight.
Further, step S3 is to comprehensively evaluate the energy saving and carbon reduction of the chemical fiber enterprise according to the final weight of the energy saving and carbon reduction index system and the index of the chemical fiber enterprise:
wherein S is i For the final score of the ith business, W j Is the final weight of the jth index, X ij Is the non-negative normalized value of the jth index of the ith enterprise.
Further, the energy factors comprise ten-thousand-yuan integrated energy consumption value, clean energy duty ratio, integrated energy consumption and ten-thousand-yuan integrated energy consumption value same-ratio reduction amount, and the energy factors comprise main production workshop energy consumption, waste heat recycling efficiency and variable frequency motor duty ratio.
Further, the economic factors include product yield, energy consumption cost ratio, energy saving technology investment and enterprise profit margin, and the environmental factors include carbon dioxide emission per unit product, sewage emission per unit product, solid waste emission per unit product and carbon emission comparably reduced amount.
The invention comprehensively considers the energy utilization efficiency, the energy-saving measure effect, the economic benefit and the environmental protection of chemical fiber enterprises, and provides an energy-saving and carbon-reduction evaluation method for the chemical fiber enterprises with multiple factors of coupling energy level, energy-saving technology, economic benefit and environmental protection; providing a specific flow for consistency matrix optimization in the analytic hierarchy process, so that the process of the analytic hierarchy process is more systematic and universal, and simultaneously, the blindness of subjective weighting is reduced by combining an entropy value method in the objective weighting method; the entropy method is used as a means, the index weight is determined according to the objective condition of the discrete degree of each index of an enterprise, and meanwhile, the emphasis point of an evaluation system is determined from the subjective level through the subjective weight method, so that the complete uncontrollability of objective weighting is avoided; in the combined weighting, a game theory method is adopted, and the final weight is determined by taking the minimum deviation between the final weight and the subjective and objective weight as a target, so that the scientificity of the combination of the subjective and objective weights is improved.
In addition, the invention can effectively evaluate the energy-saving and carbon-reducing results of chemical fiber enterprises, guide the energy-saving and carbon-reducing directions of the chemical fiber enterprises, and has engineering application value.
Drawings
FIG. 1 is a diagram of a chemical fiber enterprise energy-saving and carbon-reduction index system according to the invention;
FIG. 2 is a flow chart of the method for evaluating energy conservation and carbon reduction of a chemical fiber enterprise coupled with multiple factors.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present invention more apparent, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by one of ordinary skill in the art without inventive faculty, are intended to be within the scope of the present invention, based on the embodiments of the present invention.
The invention relates to a method for evaluating energy conservation and carbon reduction of chemical fiber enterprises with multiple factors of coupling energy level, energy conservation technology, economic benefit and environmental protection, which comprises the following steps as shown in figure 2:
step S1, an energy-saving and carbon-reduction index system of a chemical fiber enterprise is established, and as shown in FIG. 1, the system consists of four aspects, namely, energy factors for measuring the current situation of energy consumption of the enterprise, energy-saving factors for measuring the energy-saving results of the enterprise, economic factors for measuring the profitability of the enterprise, energy-saving and carbon-reduction investment and environmental factors for measuring the waste treatment of the enterprise; the energy factors comprise ten-thousand-yuan integrated energy consumption value, clean energy duty ratio, integrated energy consumption and ten-thousand-yuan integrated energy consumption value homonymous reduction, the energy factors comprise main production workshop energy consumption, waste heat recycling efficiency and variable frequency motor duty ratio, the economic factors comprise product yield, energy consumption cost duty ratio, energy saving technology investment and enterprise profit margin, and the environmental factors comprise unit product carbon dioxide emission, unit product sewage emission, unit product solid waste emission and carbon emission homonymous reduction.
Step S2, weighting the indexes by adopting an entropy method in an objective weighting method and a hierarchical analysis method in subjective weighting, and combining weights obtained by the subjective and objective weighting methods into final weights by adopting a game theory combined weighting method;
and S3, comprehensively evaluating the energy conservation and carbon reduction of the chemical fiber enterprise according to the energy conservation and carbon reduction index system and the final weight of the index.
In step S1, the clean energy includes green electric power and natural gas, and the duty ratio calculation formula is:
wherein, CP is the clean energy duty ratio; AD is energy consumption; FC is the standard coal coefficient; i is the energy category, wherein p is the number of clean energy categories, and q is the number of total energy categories.
The waste heat recovery and utilization efficiency in the step S1 is mainly the waste heat discharged by a dryer and an air compression system and the waste heat of flue gas of a coal-fired boiler and a heat conduction boiler, and the waste heat utilization efficiency is calculated through energy level reduction according to a waste heat recovery method, wherein the calculation formula is as follows:
for the heat exchange utilization method, the energy level is reduced as follows:
in the formula, deltaOmega r The energy level for heat exchange is reduced; t (T) 0 、T 1 、T 2 The temperature of the waste heat flow is respectively the ambient temperature, the input waste heat flow temperature and the waste heat flow temperature during heat exchange utilization and recovery; en is provided with 0,r For the heat contained in the residual heat flow lost during heat exchange utilization, en 1 For inputting heat contained in the waste heat.
For the power utilization method, the energy level is reduced as follows:
in the formula, deltaOmega d The energy level for power utilization decreases; en is provided with 0,d Is the heat contained in the residual heat flow lost during power utilization.
The carbon emission accounting boundary of the unit product carbon dioxide emission of the enterprise in the step S1 is carbon emission generated by energy consumption, the carbon emission calculating method adopts an emission coefficient method, and the coefficient is derived from China greenhouse gas emission coefficient set, so that the unit product carbon dioxide emission calculating method of the enterprise is as follows:
in the method, in the process of the invention,the carbon dioxide emission amount of a unit product, and AD is the energy consumption amount; f is the standard coal coefficient; i is an energy category; c is the product yield.
In step S2, an objective weighting method, that is, an entropy method is adopted to calculate the index weight, which is as follows:
4.1.1, first, non-negative normalization processing is performed on the data: the indexes of different units are dimensionless, so that the indexes are comparable, and the method is carried out in the following way:
forward index:
negative index:
wherein X is ij Is an index data index; i=1, 2, …, m; j=1, 2, …, n; m is the number of schemes, n is the index number;
4.1.2, determining the index specific gravity: calculating the proportion of a certain index in the total amount of the index under different schemes:
wherein P is ij The specific gravity of the ith scheme in the jth index; i=1, 2, …, m; j=1, 2, …, n;
4.1.3 index entropy calculation:
k＝1lnm
in the formula e j Is the j-th fingerTarget entropy value. i=1, 2, …, m; j=1, 2, …, n;
4.1.4 entropy value method weight calculation:
g j ＝1-e j
in which W is j Is the weight of the j index g j Is the difference coefficient of the j-th index; j=1, 2, …, n.
In step S2, a subjective weighting method, that is, a method for calculating an index weight by using an analytic hierarchy process, is as follows:
5.1.1 construction of comparison matrix: quantizing the relative importance degree between the input of each index in the matrix, and the element a of the ith row and the jth column of the matrix ij The quantization rule of (2) is as follows:
index i is of equal importance as index j, a ij 1 is shown in the specification;
index i is important compared with index j, a ij 3;
index i is extremely important as compared with index j, then a ij 5;
two adjacent judged intermediate values, a ij 2 and 4;
sorting the available comparison matrix A:
wherein A is an n-order square matrix, and n is an index number;
5.1.2, adjusting the judgment matrix, wherein the method comprises the following steps:
step1, calculating the maximum eigenvalue of the judgment matrix, and calculating a satisfaction consistency index, and if the satisfaction consistency ratio CR is smaller than 0.1, turning to Step5 without adjustment:
wherein CI is a satisfactory consistency index; lambda (lambda) max The characteristic value of the matrix A is the largest;
wherein CR is a satisfactory consistency ratio; RI is an average random uniformity index, determined by the order of the a matrix.
TABLE 1 average random uniformity index RI Standard values for different order matrices
| Order of | RI value | Order of | RI value |
| 1 | 0 | 10 | 1.49 |
| 2 | 0 | 11 | 1.52 |
| 3 | 0.52 | 12 | 1.54 |
| 4 | 0.89 | 13 | 1.56 |
| 5 | 1.12 | 14 | 1.58 |
| 6 | 1.26 | 15 | 1.59 |
| 7 | 1.36 | 16 | 1.5943 |
| 8 | 1.41 | 17 | 1.6064 |
| 9 | 1.46 | 18 | 1.6133 |
Step2, calculating a feature vector by using a geometric mean method:
wherein omega is i The weight of the i index;
constructing a consistency matrix W:
calculating a disturbance matrix D:
D＝A-W
ordering the absolute values of the non-diagonal elements from large to small to obtain a result
Step3, adjust l s Corresponding element a ij Wherein
5) If a is ij >1 and d ij >0, then a ij Lowering by one scale, i.e. a ij -1, if a ij =2, then not adjusted;
6) If a is ij >1 and d ij <0, then a ij Raising a scale, i.e. a ij +1, if a ij =9, then not adjusted;
simultaneously adjust a ji Maintaining the reciprocal matrix;
step4. Marking the adjusted matrix as A s Calculating a satisfaction consistency index, and if so, turning to Step5
Step5. Calculate A s And (5) the maximum characteristic value and the characteristic vector thereof, and obtaining each index weight after normalizing the characteristic vector.
In the step S2, a method for combining the hierarchical analysis method weighting and the entropy value method weighting by using a game theory combined weighting method comprises the following steps:
6.1.1, establishing an objective function according to the idea of game theory, taking the minimum sum of the dispersion of the combined index weight W and W1 and W2 as a target, and searching for an optimal linear combination coefficient; according to the differential principle, the first derivative condition of the minimum value of the objective function is:
in which W is 1 、W 2 Weights calculated by entropy method and weights calculated by analytic hierarchy process respectively, lambda 1 、λ 2 Is a weight combination coefficient.
Solving weight combination coefficients:
in the method, in the process of the invention,the optimal weight combination coefficient;
and 6.1.2, calculating to obtain final weight: calculating final weights according to the solved optimal weight combination coefficients:
in which W is * Is the final weight.
In step S3, according to the energy-saving and carbon-reduction index system and the final weight of the index, the method for comprehensively evaluating the energy saving and carbon reduction of the chemical fiber enterprise comprises the following steps:
wherein S is i For the final score of the ith business, W j Is the final weight of the jth index, X ij Is the non-negative normalized value of the jth index of the ith enterprise. S is S i The larger the enterprise is, the better the energy-saving and carbon-reducing results are, W j The larger the index is, the more important the index is in the energy saving and carbon reduction evaluation of chemical fiber enterprises.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. The energy-saving and carbon-reducing evaluation method for the chemical fiber enterprise coupling multiple factors is characterized by comprising the following steps of:
step S1, an energy-saving and carbon-reducing index system of a chemical fiber enterprise is established, and the system comprises: energy factors of the current situation of energy consumption of enterprises are measured, energy-saving factors of energy-saving achievements of the enterprises are measured, profit capability of the enterprises, economic factors of energy-saving and carbon-reducing investment are measured, and environmental factors of waste treatment of the enterprises are measured;
step S2, weighting the indexes by adopting an entropy method in an objective weighting method and a hierarchical analysis method in subjective weighting, and combining weights obtained by the objective weighting method and the objective weighting method into final weights by adopting a game theory combined weighting method;
and S3, comprehensively evaluating the energy conservation and carbon reduction of the chemical fiber enterprise according to the energy conservation and carbon reduction index system and the final weight of the index.
2. The method for evaluating energy conservation and carbon reduction of a chemical fiber enterprise coupled with multiple factors according to claim 1, wherein the clean energy in the step S1 comprises green electric power and natural gas, and the duty ratio calculation formula is as follows:
wherein, CP is the clean energy duty ratio; AD is energy consumption; FC is the standard coal coefficient; i is the energy category, wherein p is the number of clean energy categories, and q is the number of total energy categories.
3. The method for evaluating energy conservation and carbon reduction of a chemical fiber enterprise coupled with multiple factors according to claim 1, wherein the waste heat recycling efficiency in the step S1 is mainly the waste heat discharged by a dryer and an air compression system and the waste heat of flue gas of a coal-fired boiler and a heat-conducting boiler; according to the waste heat recovery method, the waste heat utilization efficiency is calculated through energy level reduction quantization, and the calculation formula is as follows:
for the heat exchange utilization method:
in the formula, deltaOmega r The energy level for heat exchange is reduced; t (T) 0 、T 1 、T 2 The temperature of the waste heat flow is respectively the ambient temperature, the input waste heat flow temperature and the waste heat flow temperature during heat exchange utilization and recovery; en is provided with 0,r For the heat contained in the residual heat flow lost during heat exchange utilization, en 1 The heat contained in the waste heat is input;
for the power utilization method:
in the formula, deltaOmega d The energy level for power utilization decreases; en is provided with 0,d Is the heat contained in the residual heat flow lost during power utilization.
4. The method for evaluating energy conservation and carbon reduction of a chemical fiber enterprise coupled with multiple factors according to claim 1, wherein in the environmental factor indexes involved in the step S1, the accounting boundary of carbon dioxide emission amount of a unit product of the enterprise is carbon emission generated by energy consumption, and the carbon emission calculating method adopts an emission coefficient method, and the calculating method comprises the following steps:
in the method, in the process of the invention,is a single of enterprisesCarbon dioxide emission of the product, AD is energy consumption; f is the standard coal coefficient; i is an energy category; c is the product yield.
5. The method for evaluating energy conservation and carbon reduction of a chemical fiber enterprise coupled with multiple factors according to claim 1, wherein the method for calculating the index weight by applying an objective weighting method, namely an entropy value method in the step S2 is as follows:
5.1.1, first, non-negative normalization processing is performed on the data: the indexes of different units are dimensionless, so that the indexes are comparable, and the method is carried out in the following way:
forward index:
negative index:
wherein X is ij Is a data index; i=1, 2, …, m; j=1, 2, …, n; m is the number of schemes, n is the index number;
5.1.2, determining the index specific gravity: calculating the proportion of a certain index in the total amount of the index under different schemes:
wherein P is ij The specific gravity of the ith scheme in the jth index; i=1, 2, …, m; j=1, 2, …, n;
5.1.3 index entropy calculation:
k＝1lnm
in the formula e j Is the entropy value of the j-th index; i=1, 2, …, m; j=1, 2, …, n;
5.1.4 entropy value method weight calculation:
g j ＝1-e j
in which W is j Is the weight of the j index g j Is the difference coefficient of the j-th index; j=1, 2, …, n.
6. The method for evaluating energy conservation and carbon reduction of a chemical fiber enterprise coupled with multiple factors according to claim 1, wherein the subjective weighting method, namely the method for calculating index weight by an analytic hierarchy process, is characterized in that the method comprises the following steps:
6.1.1 construction of comparison matrix: quantizing the relative importance degree between the input of each index in the matrix, and the element a of the ith row and the jth column of the matrix ij The quantization rule of (2) is as follows:
index i is of equal importance as index j, a ij 1 is shown in the specification;
index i is important compared with index j, a ij 3;
index i is extremely important as compared with index j, then a ij 5;
two adjacent judged intermediate values, a ij 2 and 4;
sorting the available comparison matrix A:
wherein A is an n-order square matrix, and n is an index number;
6.1.2, adjusting the judgment matrix, wherein the method comprises the following steps:
step1, calculating the maximum eigenvalue of the judgment matrix, and calculating a satisfaction consistency index, and if the satisfaction consistency ratio CR is smaller than 0.1, turning to Step5 without adjustment:
wherein CI is a satisfactory consistency index; lambda (lambda) max The characteristic value of the matrix A is the largest;
wherein CR is a satisfactory consistency ratio; RI is an average random consistency index, and is determined by the order of the matrix A;
step2, calculating a feature vector by using a geometric mean method:
wherein omega is i The weight of the i index;
constructing a consistency matrix W:
calculating a disturbance matrix D:
D＝A-W
ordering the absolute values of the non-diagonal elements from large to small to obtain a result
Step3, adjust l s Corresponding element a ij Wherein s=1, 2, …,
1) If a is ij >1 and d ij >0, then a ij Lowering by one scale, i.e. a ij -1, if a ij =2, thenNot adjusting;
2) If a is ij >1 and d ij <0, then a ij Raising a scale, i.e. a ij +1, if a ij =9, then not adjusted;
simultaneously adjust a ji Maintaining the reciprocal matrix;
step4. Marking the adjusted matrix as A s Calculating a satisfaction consistency index, and if the satisfaction index is met, turning to Step5;
step5. Calculate A s And (5) the maximum characteristic value and the characteristic vector thereof, and obtaining each index weight after normalizing the characteristic vector.
7. The method for evaluating energy conservation and carbon reduction of a chemical fiber enterprise coupling multiple factors according to claim 1, wherein in the step S2, a method for combining analytic hierarchy process weighting and entropy value process weighting by a game theory combined weighting method is as follows:
7.1.1 establishing an objective function according to the idea of game theory, taking the minimum sum of the dispersion of the combined index weight W and W1 and W2 as the target, and searching for the optimal linear combination coefficient; according to the differential principle, the first derivative condition of the minimum value of the objective function is:
in which W is 1 、W 2 Weights calculated by entropy method and weights calculated by analytic hierarchy process respectively, lambda 1 、λ 2 Is a weight combination coefficient;
solving weight combination coefficients:
in the method, in the process of the invention,the optimal weight combination coefficient;
7.1.2, calculating to obtain final weight: calculating final weights according to the solved optimal weight combination coefficients:
in which W is * Is the final weight.
8. The method for evaluating energy conservation and carbon reduction of a chemical fiber enterprise coupled with multiple factors according to claim 1, wherein the step S3 is characterized in that the enterprise energy conservation and carbon reduction is comprehensively evaluated according to the final weight of an energy conservation and carbon reduction index system and an index of the chemical fiber enterprise:
wherein S is i For the final score of the ith business, W j Is the final weight of the jth index, X ij Is the non-negative normalized value of the jth index of the ith enterprise.
9. The method for evaluating energy conservation and carbon reduction of a chemical fiber enterprise coupled with multiple factors according to claim 1, wherein the energy factors comprise ten-thousand-element-output-value comprehensive energy consumption values, clean energy duty ratios, comprehensive energy consumption amounts and ten-thousand-element-output-value comprehensive energy consumption value homonymous reduction amounts, and the energy conservation factors comprise main production workshop energy consumption, waste heat recycling efficiency and variable-frequency motor duty ratios.
10. The method for evaluating energy conservation and carbon reduction of chemical fiber enterprises coupling multiple factors according to claim 1, wherein the economic factors comprise product yield, energy consumption cost ratio, energy conservation technology investment and enterprise profit margin, and the environmental factors comprise carbon dioxide emission per unit product, sewage emission per unit product, solid waste emission per unit product and carbon emission homonymous reduction.
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