CN112446630A - Method and system for evaluating technical economy of school comprehensive energy system - Google Patents
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Abstract
The invention relates to a technical economy evaluation method and a system for a school comprehensive energy system, which comprises the following steps: and constructing a technical and economic evaluation index system of the project to be evaluated, wherein the evaluation index system comprises 10 indexes in the three aspects of technology, economy and environment, 8 of the 10 indexes are quantitative indexes, and 2 of the 10 indexes are qualitative indexes. And inputting the evaluation indexes into the established technical and economic evaluation model, wherein the technical and economic evaluation model comprises the weight and the evaluation method of each index. Determining the weight by adopting an order relation analysis method and an entropy weight resisting method, and evaluating the technical economy of the school comprehensive energy system by using a TOPSIS method introducing the weight. The method and the system for evaluating the technical economy of the school comprehensive energy system can be used for scientifically and reasonably evaluating the technical economy of the school comprehensive energy, and have high use value.
Description
Technical Field
The invention belongs to the technical field of evaluation of comprehensive energy systems, and particularly relates to a method and a system for evaluating the technical economy of a school comprehensive energy system.
Background
Energy consumption and environmental issues are two major issues and challenges facing the rapid development of economy, particularly in developing countries. With the gradual enhancement of energy-saving consciousness and environmental consciousness of people, a comprehensive energy system becomes a key for solving energy and environmental problems. In recent years, new energy technologies such as photovoltaic power generation, wind power generation, heat pumps and the like are widely applied, so that a comprehensive energy system becomes complex and various. The technical economy evaluation is a main means for measuring the advancement of the comprehensive energy technology research result and the popularization of engineering experience, and is a strong basis for the superiority and inferiority of the comprehensive energy technology. The method is not only beneficial to the planning design of the comprehensive energy system, but also beneficial to the index of the operation of the comprehensive energy system.
The comprehensive energy system has many characteristics, the research on the technical economy evaluation of the comprehensive energy system is just started at present, the indexes of investment cost, net present value, investment recovery period and the like are mostly adopted for the technical economy evaluation of the comprehensive energy system at present, the influence of other indirect factors on the technical economy of the system is not considered, such as technical factors and environmental factors, the evaluation indexes are relatively single, most evaluation systems select quantitative indexes, and the consideration on qualitative indexes is lacked. In the evaluation process, the subjectivity and the objectivity of the evaluation cannot be comprehensively considered, only the subjective weight is considered, and the deviation caused by human factors is difficult to avoid; or only considering objective weight, expert opinion cannot be included in the objective weight, and the obtained result is difficult to be accepted by professional field. Some methods for combining weights objectively and subjectively need consistency check and have over-high sensitivity to cause index failure.
Disclosure of Invention
In order to solve the technical problems, the invention aims to provide a method and a system for evaluating the technical economy of a school integrated energy system so as to improve the scientificity and reliability of the evaluation of the technical economy of the school integrated energy system.
The invention provides a technical economy evaluation method of a school comprehensive energy system, which comprises the following steps:
step 1: establishing an evaluation index system of a school comprehensive energy system, wherein the evaluation index comprises a plurality of primary indexes, each primary index comprises a plurality of secondary indexes, and the primary indexes comprise technical indexes, economic indexes and environmental indexes;
step 2: obtaining index values corresponding to each evaluation index under different technical schemes, standardizing the index values, and constructing a standardized decision matrix B of index evaluation as (p)i'j)n×mWherein, i is 1,2, n, n is the total number of the evaluation indexes; j is 1,2, and m is the total number of the comprehensive energy technical scheme;
and step 3: according to the normalized index values, respectively solving the subjective weight and the objective weight of each evaluation index in an evaluation index system by adopting an order relation analysis method and an anti-entropy weight method;
and 4, step 4: determining the combined weight of each evaluation index in an evaluation index system;
and 5: and substituting the combined weight of each evaluation index into a TOPSIS method, calculating the closeness of each comprehensive energy technical scheme and an ideal scheme, and evaluating the economy of each comprehensive energy technical scheme by means of the closeness.
In the technical economy evaluation method of the school comprehensive energy system, the method comprises the following steps:
the technical indexes comprise: 3 secondary indexes of comprehensive energy utilization rate, renewable energy utilization rate and equipment maintainability;
the economic indicators include: 4 secondary indexes of initial investment cost, operation cost, system life cycle and investment recovery period;
the environmental index includes: annual CO2Reduced-emission annual SO2The decrement volume and noise affect 3 secondary metrics.
In the technical economy evaluation method of the school integrated energy system, the evaluation index system comprises a quantitative index and a qualitative index;
comprehensive energy utilization rate, renewable energy utilization rate, initial investment cost, operation cost, system life cycle, investment recovery period and annual CO2Reduction of emission and annual SO2The decrement capacity is a quantitative index which can be obtained by calculation;
equipment maintainability and noise impact are qualitative indicators obtained through experience and subjective human will.
In the technical economy evaluation method of the school integrated energy system, the index values of the secondary indexes are subjected to standardization treatment, and the standardization treatment specifically comprises the following steps: firstly, carrying out forward processing and then carrying out normalization processing;
the larger the numerical value is, the more optimal the normalization method of the forward secondary index is:
the larger the numerical value is, the worse the normalization method of the negative secondary index is as follows:
the second-level index normalization method comprises the following steps:
wherein x isijIs the index value r of j secondary indexes in the ith schemeijFor the data normalized value, p, of j secondary indexes in the ith schemeijThe index value is normalized.
In the method for evaluating the technical economy of the school integrated energy system, in the step 3, the subjective weight of each evaluation index in an evaluation index system is solved by using an order relation analysis method, and the method specifically comprises the following steps:
each expert firstly finds out the least important secondary index b from the evaluation index system according to the working experience of the expertj；
Then finding the least important secondary index from the rest index setf；
According to the method, all secondary indexes left in the index set are sequenced to obtain the unique sequence relation as follows:
bq＞...＞bf＞bj(j,f,q∈{1,2,...n})
wherein n is the number of secondary indexes in the evaluation index system;
the following equation represents the ratio of the relative importance of the weights between adjacent evaluation indexes in the order relationship:
in the formula (I), the compound is shown in the specification,
evaluation index b judged by the a-th expertfThe subjective weight of the user is determined,
evaluation index b judged by the a-th expertjThe subjective weight of the user is determined,
adjacent evaluation index b judged by a-th expertjAnd bfThe values of the ratios of subjective weights among the subjective weights are 1.0, 1.2, 1.4, 1.6 and 1.8, which respectively represent the same importance, slightly importance, obvious importance, strong importance and extreme importance;
according to the subjective weight ratio between adjacent evaluation indexes and the sum of the subjective weights of all the evaluation indexes being 1, calculating the evaluation index b judged by the a-th expertjThe subjective weight of (1) is specifically:
the subjective weights of the other evaluation indexes can be obtained by a recurrence formula:
if p experts participate in the judgment of the subjective weight, the result is subjected to weighted average calculation to obtain an evaluation index bjThe final subjective weights of (1) are:
wherein the content of the first and second substances,
as an evaluation index bjFinal subjective weight of (1).
In the method for evaluating the technical economy of the school integrated energy system, in the step 3, an entropy weight inversion method is used for solving the objective weight of each evaluation index in an evaluation index system, and the method specifically comprises the following steps:
according to the normalized index value, calculating the inverse entropy value of the jth evaluation index:
wherein h isjIs the inverse entropy of the j-th evaluation index, pijRepresenting the normalized value of the jth secondary index of the ith scheme;
calculating the entropy weight of the jth evaluation index as the objective weight of the evaluation index according to the inverse entropy value of the jth evaluation index:
wherein, wjIs an objective weight of the evaluation index.
In the method for evaluating the technical economy of the school integrated energy system, in the step 4, the combination weight of the indexes is calculated according to the subjective weight and the objective weight of each index under an evaluation system, and the method specifically comprises the following steps:
and substituting the subjective weight value and the objective weight value into the following formula to obtain a combined weight:
in the formula, WjIs the weight of the combination, and,
subjective weight, w, determined for the order relation methodjObjective weight value, h, determined for the inverse entropy weight methodjThe inverse entropy of the jth evaluation index.
In the technical economy evaluation method of the school comprehensive energy system, the combination weight is introduced into a TOPSIS method, the closeness of each technical scheme and an ideal scheme is calculated, and the closeness is compared to evaluate the quality of the technical scheme.
The invention provides a technical economy evaluation system of a school comprehensive energy system, which comprises the following components:
the evaluation index system building module is used for building an evaluation index system of the comprehensive energy system with a P (P is more than or equal to 2) layer according to each evaluation index of the comprehensive energy system;
a standardized decision matrix module, configured to obtain index values corresponding to the evaluation indexes in different technical solutions, standardize the index values, and construct a standardized decision matrix B ═ p 'for index evaluation'ij)n×mWherein, i is 1,2, n, n is the total number of the evaluation indexes; j is 1,2, and m is the total number of the comprehensive energy technical scheme;
the weight calculation module is used for calculating the subjective weight and the objective weight of each evaluation index by adopting an order relation analysis method and an anti-entropy weight method;
and the evaluation module is used for calculating the degree of adherence of different technical schemes and ideal schemes by using a TOPSIS method considering combination weight based on the index value after standardization in the standardized decision matrix so as to evaluate the economy of the comprehensive energy system.
According to the technical economy evaluation method and system for the school comprehensive energy system, a multi-level school comprehensive energy system evaluation index system is constructed, and indexes comprise both qualitative indexes and quantitative indexes; the method not only comprises economic indexes directly influencing technical economic evaluation results, but also comprises technical and environmental indexes indirectly influencing the technical economic evaluation indexes. The method comprises the steps of obtaining the normalized value of each evaluation index by obtaining the numerical value of each evaluation index under different technical schemes, determining the subjective weight by adopting an order relation analysis method, and saving the step of consistency check required by the traditional AHP method; the method for determining the objective weight by adopting the anti-entropy weight method solves the problem of index failure caused by high sensitivity of the entropy weight method. And finally, determining the weight value by the subjective and objective combination, and evaluating by using a TOPSIS method, thereby overcoming the problems that the traditional weighting method is too subjective and random or too objective, and simultaneously overcoming the problems that the consistency inspection is needed and the sensitivity is too high to cause index failure in some weighting methods. The TOPSIS method is used for evaluating different technical schemes, so that the result is more scientific, and the accuracy and the reasonability of the evaluation result of the comprehensive energy system under different technical schemes are ensured.
Drawings
FIG. 1 is a schematic flow chart of a method for evaluating the economic efficiency of the comprehensive energy technology in school according to the present invention;
FIG. 2 is a chart of an evaluation index system for a school integrated energy system;
fig. 3 is a schematic diagram of the economic evaluation system of the school integrated energy technology of the present invention.
Detailed Description
To further illustrate the features of the present invention, refer to the following detailed description of the invention and the accompanying drawings. The drawings are for reference and illustration purposes only and are not intended to limit the scope of the present disclosure.
As shown in fig. 1, the embodiment discloses a method for evaluating a school integrated energy system, which includes the following steps:
step 1: establishing an evaluation index system of a school comprehensive energy system, wherein the evaluation index comprises a plurality of primary indexes, each primary index comprises a plurality of secondary indexes, and the primary indexes comprise technical indexes, economic indexes and environmental indexes;
step 2: acquiring index values corresponding to evaluation indexes under different technical schemes, standardizing the index values, and constructing a standardized decision matrix B ═ p 'of index evaluation'ij)n×mWherein, i is 1,2, n, n is the total number of the evaluation indexes; j is 1,2, and m is the total number of the comprehensive energy technical scheme;
and step 3: according to the normalized index values, respectively solving the subjective weight and the objective weight of each evaluation index in an evaluation index system by adopting an order relation analysis method and an anti-entropy weight method;
and 4, step 4: determining the combined weight of each evaluation index in an evaluation index system;
and 5: and substituting the combined weight of each evaluation index into a TOPSIS method, calculating the closeness of each comprehensive energy technical scheme and an ideal scheme, and evaluating the economy of each comprehensive energy technical scheme by means of the closeness.
As shown in fig. 2, which is an evaluation index system diagram of the school integrated energy system, the evaluation index system in this embodiment is composed of 3 primary indexes and 10 secondary indexes. The first-level indexes comprise technical indexes, economic indexes and environmental indexes.
Specifically, the first-level technical index is calculated by weighting 3 indexes of comprehensive energy utilization rate, renewable energy utilization rate and equipment maintainability.
(1) Comprehensive energy utilization rate
The comprehensive energy utilization rate is calculated by the ratio of the heat (cold) and the electric quantity output by the system to the total energy input by the system. Can be calculated by the following formula:
in the formula: qh、Qc、EeRespectively the heat production quantity, the cold production quantity and the power generation quantity of the system, and the unit kW; etafThe heating efficiency is improved; etacfTo the refrigeration efficiency; etaeWind and light power generation efficiency; v is the proportion of the power transmission amount of the power grid;
the loss rate of the transmission line of the power grid is 7 percent.
(2) Utilization rate of renewable energy
The renewable energy utilization rate is calculated by the utilization amount of renewable energy and the total energy consumption of the system, and the calculation formula is as follows:
in the formula: pr,uFor renewable energy in the comprehensive energy system of schoolThe amount of utilization in kWh; pr,sThe total energy consumption in the comprehensive energy system of the school comprises heat energy, cold energy and electric energy in a unit of kWh. EinPurchasing electric power for the grid, Ef、EgRespectively wind power generation capacity and photovoltaic power generation capacity, Qk、QtRespectively, an air source heat pump heat supply amount and a solar heat collector heat supply amount.
(3) Maintainability of equipment
The maintainability of the equipment is given by experts in the aspect of comprehensive energy systems according to own experience and professional skills, and belongs to qualitative indexes. In order to simplify the calculation process, the calculation process is quantified in a scoring mode, for example, the score 95 represents 'unmanned operation and low maintenance cost'.
Specifically, the first-level economic index is obtained by weighting and calculating 4 indexes of initial investment cost, operation cost, system life cycle and investment recovery period.
(1) Initial investment cost
The initial investment cost consists of the purchase cost and the installation cost of the comprehensive energy system equipment, and the calculation formula is as follows:
Ctc＝∑InCa+Co
in the formula: caThe unit is the unit price of the equipment and ten thousand yuan; i isnRepresenting the number of devices, unit table; coRepresents the installation cost of the equipment in ten thousand yuan.
(2) Running cost
The operation cost is composed of annual energy consumption cost and fuel cost, and the calculation formula is as follows:
Cs＝Fu+Ae
in the formula: csRepresents the annual operating cost, and has unit ten thousand yuan; fuThe unit is ten thousand yuan for annual maintenance cost; a. theeThe unit is ten thousand yuan for the total annual electric charge.
(3) Life cycle of system
The system life cycle refers to the time from the time the system device is put into operation to the time the core device is unable to operate. The failure of the core equipment of the comprehensive energy system directly affects the economic benefit of the comprehensive energy system.
(4) Period of investment recovery
The static investment recovery period is used as an economic index, and the calculation formula is as follows:
in the formula: t is the investment recovery period of the system, year; ctcRepresents the initial investment cost, ten thousand yuan; cinRepresents the annual income of a comprehensive energy system, and is ten thousand yuan; csRepresenting the operating cost of the integrated energy system.
Specifically, the first-level environmental index is obtained by weighted calculation of 3 indexes of annual carbon dioxide emission reduction, annual sulfur dioxide emission reduction and noise influence.
(1) Annual CO2、SO2Volume of reducing discharge
The product of the supply quantity of renewable energy sources in the system and the emission factor is used as the emission reduction quantity, and the formula is as follows:
in the formula:
are each CO2Reduction of emission and SO2Decrement capacity, unit g; ef、EgRespectively wind power generation capacity and photovoltaic power generation capacity in kWh unit; qk、QtRespectively the heat supply of the air source heat pump and the heat supply of the solar heat collector in kJ;
respectively CO under coal-fired power generation mode2、SO2The emission factors were 1000g/kWh and 9.14g/kWh, respectively.
(2) Influence of noise
The comprehensive energy system comprises various devices, and gas turbine noise, water pump noise, fan noise and the like can exist, and according to the requirements of relevant national standards, 60dB is not exceeded in the daytime, and 55dB is not exceeded at night. The noise impact index is a qualitative index, and is also quantified by a score, for example, a score 95 represents "higher noise impact".
In the step 2, the step of normalizing the index values of the secondary indexes specifically includes: firstly, carrying out forward processing and then carrying out normalization processing;
the larger the numerical value is, the more optimal the normalization method of the forward secondary index is:
the larger the numerical value is, the worse the normalization method of the negative secondary index is as follows:
the second-level index normalization method comprises the following steps:
wherein x isijIs the index value r of j secondary indexes in the ith schemeijFor the data normalized value, p, of j secondary indexes in the ith schemeijThe index value is normalized. And (p ') constructing a standardized decision matrix B by using the standardized index values obtained after processing'ij)n×m。
In the step 3, the subjective weight of each evaluation index in the evaluation index system is solved by using a sequence relation analysis method, and the method specifically comprises the following steps:
each expert firstly finds out the least important secondary index b from the evaluation index system according to the working experience of the expertj；
Then finding the least important secondary index from the rest index setf；
According to the method, all secondary indexes left in the index set are sequenced to obtain the unique sequence relation as follows:
bq＞...＞bf＞bj(j,f,q∈{1,2,...n})
wherein n is the number of secondary indexes in the evaluation index system;
the following equation represents the ratio of the relative importance of the weights between adjacent evaluation indexes in the order relationship:
in the formula (I), the compound is shown in the specification,
evaluation index b judged by the a-th expertfThe subjective weight of the user is determined,
evaluation index b judged by the a-th expertjThe subjective weight of the user is determined,
adjacent evaluation index b judged by a-th expertjAnd bfThe values of the ratios of subjective weights among the subjective weights are 1.0, 1.2, 1.4, 1.6 and 1.8, which respectively represent the same importance, slightly importance, obvious importance, strong importance and extreme importance;
according to the subjective weight ratio between adjacent evaluation indexes and the sum of the subjective weights of all the evaluation indexes being 1, calculating the evaluation index b judged by the a-th expertjThe subjective weight of (1) is specifically:
the subjective weights of the other evaluation indexes can be obtained by a recurrence formula:
if p experts participate in the judgment of the subjective weight, the result is subjected to weighted average calculation to obtain an evaluation index bjThe final subjective weights of (1) are:
wherein the content of the first and second substances,
as an evaluation index bjFinal subjective weight of (1).
In the step 3, the inverse entropy weight method is used for solving the objective weight of each evaluation index in the evaluation index system, and the method specifically comprises the following steps:
after the index values of all the evaluation indexes in the evaluation index system are subjected to standardization treatment, dimensional influence among all the evaluation indexes is eliminated;
according to the index value after the standardization processing, calculating the inverse entropy value of the jth evaluation index:
wherein h isjIs the inverse entropy of the j-th evaluation index, pijThe index value after the j secondary index of the ith scheme is normalized is represented;
calculating the entropy weight of the jth evaluation index as the objective weight of the evaluation index according to the inverse entropy value of the jth evaluation index:
wherein, wjIs an objective weight of the evaluation index.
And 4, calculating the combination weight of the indexes according to the subjective weight and the objective weight of each index under the evaluation system. The subjective weight reflects the subjective intention of a decision maker, the objective weight reflects the information contained in the data of each index, and the combined weight of each index is determined according to the sum of the product of the inverse entropy and the subjective weight and the product of the inverse entropy and the objective weight of each index. The method specifically comprises the following steps:
and substituting the subjective weight value and the objective weight value into the following formula to obtain a combined weight:
in the formula, WjIs a combined weight value that is not normalized,
subjective weight, w, determined for the order relation methodjObjective weight value, h, determined for the inverse entropy weight methodjTo evaluate the index entropy value.
In the step 5, the combination weight is introduced into a TOPSIS method, the closeness of each technical scheme and an ideal scheme is calculated, and the closeness is compared to evaluate the quality of the technical scheme, specifically:
(1) the following equations are used to determine the maximum and minimum values for each column in the normalized decision matrix.
P+＝(max{p11,p21,...pm1},max{p12,p22,...pm2},...max{p1n,p2n,...pmn})
P-＝(min{p11,p21,...pm1},min{p12,p22,...pm2},...min{p1n,p2n,...pmn})
(2) And respectively calculating the distance between each evaluation object and the maximum value and the minimum value by using the combined weight.
In the formula (I), the compound is shown in the specification,
in order to evaluate the distance of the object from the maximum value,
for evaluating the distance of the object from the minimum, WjAre combined weight values.
(3) The closeness of the calculation scheme i (i ═ 1, 2.., m) to the ideal scheme is
SiThe larger the value of (A) represents the closer the comprehensive energy technical scheme is to the ideal value, and the higher the comprehensive energy technical economy is. And taking the configuration scheme corresponding to the maximum evaluation result as the optimal comprehensive energy technical scheme.
As shown in fig. 3, the system for evaluating the technical economy of the school integrated energy system according to the present invention includes: the evaluation index system comprises an evaluation index system building module, a standardized decision matrix module, a weight calculation module and an evaluation module.
The evaluation index system building module is used for building an evaluation index system of the comprehensive energy system with a P (P is more than or equal to 2) layer according to each evaluation index of the comprehensive energy system;
a standardized decision matrix module, configured to obtain index values corresponding to the evaluation indexes in different technical solutions, standardize the index values, and construct a standardized decision matrix B ═ p 'for index evaluation'ij)n×mWherein, i is 1,2, n, n is the total number of the evaluation indexes; j is 1,2, and m is the total number of the comprehensive energy technical scheme;
the weight calculation module is used for calculating the subjective weight and the objective weight of each evaluation index by adopting an order relation analysis method and an anti-entropy weight method;
and the evaluation module is used for calculating the degree of adherence of different technical schemes and ideal schemes by using a TOPSIS method considering combination weight based on the normalized index value in the standardized decision matrix so as to evaluate the economy of the comprehensive energy system.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the scope of the present invention, which is defined by the appended claims.
Claims (9)
1. A method for evaluating the technical economy of a school comprehensive energy system is characterized by comprising the following steps:
step 1: establishing an evaluation index system of a school comprehensive energy system, wherein the evaluation index comprises a plurality of primary indexes, each primary index comprises a plurality of secondary indexes, and the primary indexes comprise technical indexes, economic indexes and environmental indexes;
step 2: acquiring index values corresponding to evaluation indexes under different technical schemes, standardizing the index values, and constructing a standardized decision matrix B ═ p 'of index evaluation'ij)n×mWherein, i is 1,2, n, n is the total number of the evaluation indexes; j is 1,2, and m is the total number of the comprehensive energy technical scheme;
and step 3: according to the normalized index values, respectively solving the subjective weight and the objective weight of each evaluation index in an evaluation index system by adopting an order relation analysis method and an anti-entropy weight method;
and 4, step 4: determining the combined weight of each evaluation index in an evaluation index system;
and 5: and substituting the combined weight of each evaluation index into a TOPSIS method, calculating the closeness of each comprehensive energy technical scheme and an ideal scheme, and evaluating the economy of each comprehensive energy technical scheme by means of the closeness.
2. The method for evaluating the technical economy of the school integrated energy system according to claim 1, wherein:
the technical indexes comprise: 3 secondary indexes of comprehensive energy utilization rate, renewable energy utilization rate and equipment maintainability;
the economic indicators include: 4 secondary indexes of initial investment cost, operation cost, system life cycle and investment recovery period;
the environmental index includes: annual CO2Reduced-emission annual SO2The decrement volume and noise affect 3 secondary metrics.
3. The method for evaluating the technical economy of the school integrated energy system according to claim 1, wherein the evaluation index system comprises a quantitative index and a qualitative index;
comprehensive energy utilization rate, renewable energy utilization rate, initial investment cost, operation cost, system life cycle, investment recovery period and annual CO2Reduction of emission and annual SO2The decrement capacity is a quantitative index which can be obtained by calculation;
equipment maintainability and noise impact are qualitative indicators obtained through experience and subjective human will.
4. The method for evaluating the technical economy of the school integrated energy system according to claim 1, wherein the step of standardizing the index values of the secondary indexes comprises the following steps: firstly, carrying out forward processing and then carrying out normalization processing;
the larger the numerical value is, the more optimal the normalization method of the forward secondary index is:
the larger the numerical value is, the worse the normalization method of the negative secondary index is as follows:
the second-level index normalization method comprises the following steps:
wherein x isijIs the index value r of j secondary indexes in the ith schemeijFor the data normalized value, p, of j secondary indexes in the ith schemeijThe index value is normalized.
5. The method for evaluating the technical economy of the school integrated energy system according to claim 4, wherein the step 3 of solving the subjective weight of each evaluation index in the evaluation index system by using a sequence relation analysis method specifically comprises the following steps:
each expert firstly finds out the least important secondary index b from the evaluation index system according to the working experience of the expertj；
Then finding the least important secondary index from the rest index setf；
According to the method, all secondary indexes left in the index set are sequenced to obtain the unique sequence relation as follows:
bq＞...＞bf＞bj(j,f,q∈{1,2,...n})
wherein n is the number of secondary indexes in the evaluation index system;
the following equation represents the ratio of the relative importance of the weights between adjacent evaluation indexes in the order relationship:
in the formula (I), the compound is shown in the specification,
evaluation index b judged by the a-th expertfThe subjective weight of the user is determined,
evaluation index b judged by the a-th expertjThe subjective weight of the user is determined,
adjacent evaluation index b judged by a-th expertjAnd bfThe values of the ratios of subjective weights among the subjective weights are 1.0, 1.2, 1.4, 1.6 and 1.8, which respectively represent the same importance, slightly importance, obvious importance, strong importance and extreme importance;
according to the subjective weight ratio between adjacent evaluation indexes and the sum of the subjective weights of all the evaluation indexes being 1, calculating the evaluation index b judged by the a-th expertjThe subjective weight of (1) is specifically:
the subjective weights of the other evaluation indexes can be obtained by a recurrence formula:
if p experts participate in the judgment of the subjective weight, the result is subjected to weighted average calculation to obtain an evaluation index bjThe final subjective weights of (1) are:
wherein the content of the first and second substances,
as an evaluation index bjFinal subjective weight of (1).
6. The method for evaluating the technical economy of the school integrated energy system according to claim 5, wherein in the step 3, an inverse entropy weight method is used for solving the objective weight of each evaluation index in an evaluation index system, and specifically comprises the following steps:
according to the normalized index value, calculating the inverse entropy value of the jth evaluation index:
wherein h isjIs the inverse entropy of the j-th evaluation index, pijRepresenting the normalized value of the jth secondary index of the ith scheme;
calculating the entropy weight of the jth evaluation index as the objective weight of the evaluation index according to the inverse entropy value of the jth evaluation index:
wherein, wjIs an objective weight of the evaluation index.
7. The method for evaluating the technical economy of the school integrated energy system according to claim 6, wherein the step 4 is to calculate the combination weight of the indexes according to the subjective weight and the objective weight of each index under the evaluation system, and specifically comprises the following steps:
and substituting the subjective weight value and the objective weight value into the following formula to obtain a combined weight:
in the formula, WjIs the weight of the combination, and,
subjective weight, w, determined for the order relation methodjObjective weight value, h, determined for the inverse entropy weight methodjThe inverse entropy of the jth evaluation index.
8. The method for evaluating the technical economy of the school integrated energy system according to claim 1, wherein the combination weight is introduced into a TOPSIS method, the closeness of each technical scheme to an ideal scheme is calculated, and the closeness is compared with the standard of the closeness to evaluate the quality of the technical scheme.
9. The utility model provides a school's comprehensive energy system technical economy evaluation system which characterized in that includes:
the evaluation index system building module is used for building an evaluation index system of the comprehensive energy system with a P (P is more than or equal to 2) layer according to each evaluation index of the comprehensive energy system;
a standardized decision matrix module, configured to obtain index values corresponding to the evaluation indexes in different technical solutions, standardize the index values, and construct a standardized decision matrix B ═ p 'for index evaluation'ij)n×mWherein, i is 1,2, n, n is the total number of the evaluation indexes; j is 1,2, and m is the total number of the comprehensive energy technical scheme;
the weight calculation module is used for calculating the subjective weight and the objective weight of each evaluation index by adopting an order relation analysis method and an anti-entropy weight method;
and the evaluation module is used for calculating the degree of adherence of different technical schemes and ideal schemes by using a TOPSIS method considering combination weight based on the index value after standardization in the standardized decision matrix so as to evaluate the economy of the comprehensive energy system.
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