Economic and environmental dual-benefit evaluation method for fishing and light integrated project

Abstract

The invention discloses an economic and environmental dual-benefit evaluation method for a fishing and light integrated project, and relates to the technical field of fishing and light integration. According to the method, an analytic hierarchy process is applied, a fishing and light integrated mode comprehensive benefit index system is constructed, quantitative data and qualitative data are combined, economic benefits, ecological benefits and social benefits are fully considered, the evaluation precision of all index factors is considered, the authenticity, practicability and objectivity of evaluation results are improved, and the method is suitable for large-scale popularization and application. And meanwhile, an ideal approaching sorting method is introduced into comprehensive benefit analysis of the'fishing and light integration 'mode, a comprehensive benefit evaluation model of the'fishing and light integration' mode is constructed, a'positive ideal solution 'is utilized to determine a comprehensive benefit optimal solution, a comprehensive benefit optimization standard of the'fishing and light integration' mode is formulated, and the blank of comprehensive research of the'fishing and light integration 'mode is filled.

Description

Technical Field

[0001] The present invention relates to the technical field of integrated fishery and photovoltaic technology, and more specifically, to a method for evaluating the economic and environmental benefits of an integrated fishery and photovoltaic project. Background Art

[0002] With the transformation of the global energy structure and the demand for sustainable development, the fish-solar integrated model, as a new energy utilization method, combines fish farming with photovoltaic power generation, achieving efficient land utilization and maximizing economic, ecological and social benefits. However, existing research and practice lack a scientific and systematic evaluation index system and a method for constructing the optimal solution for comprehensive benefits.

[0003] Therefore, it is necessary to invent a method for evaluating the economic and environmental benefits of integrated fish-light projects to solve the above problems. Summary of the invention

[0004] In order to overcome the above-mentioned defects of the prior art, the present invention provides a method for evaluating the dual economic and environmental benefits of a fish-solar-electricity integrated project to solve the problems raised in the above-mentioned background technology.

[0005] In order to achieve the above object, the present invention provides the following technical solution: a method for evaluating the economic and environmental benefits of a fishery-solar integrated project, comprising the following steps:

[0006] S1. Use the analytic hierarchy process (AHP) to construct an evaluation index system and determine the index weights;

[0007] S2, using the approach to ideal ranking method (TOPSIS) to construct a comprehensive evaluation model to construct a comprehensive benefit evaluation model;

[0008] S3. Data collection, analysis, optimization, application and formulation of optimization standards for the comprehensive benefits of the "fish-light integration" model;

[0009] As a further description of the above technical solution, the hierarchical analysis method in step S1 includes the following steps:

[0010] A1. Construct a hierarchical model;

[0011] A2. Construct a judgment matrix;

[0012] A3 performs hierarchical single sorting and one-time test. If the test result is yes, it proceeds to the next step. If the test result is no, it jumps back to A2.

[0013] A4 performs a total hierarchical sort and a one-time test. If the test result is yes, it proceeds to the next step. If the test result is no, it jumps back to A2.

[0014] A5. Calculate the weight of the solution layer;

[0015] A6. Obtain the selection results;

[0016] As a further description of the above technical solution, the decision matrix in A2 is calculated using the following formula:

[0017] Where a ij Indicator D i With indicator D j The ratio of the relative importance between ij >1, it means index D i Ratio Index D j Important; if a ij =1, it means index D i With indicator D j Equally important; if a ij <1, it means index D i Ratio Index D j Important. Calculate the eigenvalues ​​of matrix A, assuming that the largest eigenvalue is λ max , and its corresponding normalized eigenvector W, W = [w1 w2 … w n ];

[0018] As a further description of the above technical solution, the TOPSIS method described in step S2 is a system evaluation method suitable for multi-index, multi-scheme decision analysis. It ranks multiple decision schemes by constructing "positive ideal solutions" and "negative ideal solutions". By calculating the weighted Euclidean distance between a certain scheme and the positive ideal solution and the negative ideal solution, the closeness of the scheme to the positive ideal solution is obtained, which is used as the basis for evaluating the pros and cons of each scheme. Assuming that m "fish-light integration" schemes are given, and each scheme is set with n evaluation indicators, it constitutes the original decision matrix X, that is:

[0019]

[0020] In order to eliminate the impact of different dimensions of each indicator on the decision-making of the scheme, the decision matrix is ​​dimensionless, and the positive ideal solution and the negative ideal solution are further calculated. According to the Euclidean distance between each scheme and the positive and negative ideal solutions, the relative closeness of each scheme to the positive ideal solution is obtained:

[0021]

[0022] In the formula The larger it is, the closer the decision-making plan is to the positive ideal solution, and the better the plan is.

[0023] As a further description of the above technical solution, the data collection described in step S3 includes photovoltaic power generation benefit indicators, fishery economic benefit indicators, ecological benefit indicators and social benefit indicators, wherein the photovoltaic power generation benefit indicators include investment indicators, cost indicators and benefit indicators, the fishery economic benefit indicators include fishery cost indicators and fishery benefit indicators, the ecological benefit indicators include water environment indicators, biological ecological indicators and energy consumption indicators, and the social benefit indicators are qualitative indicators, which are obtained once every quarter;

[0024] As a further description of the above technical solution, the optimization and application steps described in step S3 include combining data quality and analysis results, adjusting and optimizing data collection indicators, establishing a new database, building a mathematical model and studying the influencing factors of benefit indicators.

[0025] Compared with the prior art, the present invention has the following beneficial effects:

[0026] The present invention constructs a comprehensive benefit index system of the "integrated fish and photovoltaic" model by using the hierarchical analysis method, combines quantitative data with qualitative data, and takes into account the evaluation accuracy of each indicator factor while fully considering the economic benefits, ecological benefits, and social benefits, thereby improving the authenticity, practicality, and objectivity of the evaluation results. At the same time, by introducing the approximate ideal ranking method in the comprehensive benefit analysis of the "integrated fish and photovoltaic" model, a comprehensive benefit evaluation model of the "integrated fish and photovoltaic" model is constructed, the "positive ideal solution" is used to determine the optimal solution for the comprehensive benefit, and the optimization standard for the comprehensive benefit of the "integrated fish and photovoltaic" model is formulated, filling the gap in the comprehensive research of the "integrated fish and photovoltaic" model. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0028] Figure 1 A flow chart of the method for evaluating the economic and environmental benefits of a fishery-solar integrated project provided by the present invention;

[0029] Figure 2 The flowchart of the hierarchical analysis method provided by the present invention. DETAILED DESCRIPTION

[0030] The following is a description of the implementation of the present invention by specific embodiments. People familiar with the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0031] In order to enable those skilled in the art to better understand the present application, the present application is further described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0032] like Figure 1-2 As shown, a method for evaluating the economic and environmental benefits of a fish-solar integrated project includes the following steps:

[0033] S1. Use the analytic hierarchy process (AHP) to construct an evaluation index system and determine the index weights;

[0034] S2, using the approach to ideal ranking method (TOPSIS) to construct a comprehensive evaluation model to construct a comprehensive benefit evaluation model;

[0035] S3. Collect, analyze, optimize, apply data and formulate optimization standards for the comprehensive benefits of the "fish-light integrated" model.

[0036] Based on the analytic hierarchy process (AHP), an evaluation index system for the comprehensive benefits of the "integrated fish and photovoltaic" model was constructed, and the TOPSIS method was further used to obtain a comprehensive evaluation model. On this basis, the economic benefits, ecological benefits, social benefits and other aspects were demonstrated, and different photovoltaic facility construction modes and nested breeding of different varieties in photovoltaic ponds were analyzed and evaluated, and an evaluation model for the optimal comprehensive benefits of the "integrated fish and photovoltaic" model in different regions, different light durations, and different natural environmental conditions was obtained. The analytic hierarchy process (AHP) is a systematic and hierarchical analysis method that combines qualitative and quantitative methods. It is highly practical and effective in dealing with complex decision-making problems. The analytic hierarchy process includes the following steps:

[0037] A1. Construct a hierarchical model;

[0038] A2. Construct a judgment matrix;

[0039] A3 performs hierarchical single sorting and one-time test. If the test result is yes, it proceeds to the next step. If the test result is no, it jumps back to A2.

[0040] A4 performs a total hierarchical sort and a one-time test. If the test result is yes, it proceeds to the next step. If the test result is no, it jumps back to A2.

[0041] A5. Calculate the weight of the solution layer;

[0042] A6. Get the selection result.

[0043] The decision matrix in A2 is calculated using the following formula: Where a ij Indicator D i With indicator D j The ratio of the relative importance between ij >1, it means index D i Ratio Index D j Important; if a ij =1, it means index D i With indicator D j Equally important; if a ij <1, it means index D i Ratio Index D j Important. Calculate the eigenvalues ​​of matrix A, assuming that the largest eigenvalue is λ max , and its corresponding normalized eigenvector W, W=[w1 w2 … W n ].

[0044] The TOPSIS method in step S2 is a systematic evaluation method suitable for multi-index and multi-scheme decision analysis. It ranks multiple decision schemes by constructing "positive ideal solutions" and "negative ideal solutions". By calculating the weighted Euclidean distance between a certain scheme and the positive ideal solution and the negative ideal solution, the degree of closeness between the scheme and the positive ideal solution is obtained, which is used as the basis for evaluating the pros and cons of each scheme. Assuming that m "fish-light integration" schemes are given, and each scheme is set with n evaluation indicators, it constitutes the original decision matrix X, that is:

[0045]

[0046] In order to eliminate the impact of different dimensions of each indicator on the decision-making of the scheme, the decision matrix is ​​dimensionless, and the positive ideal solution and the negative ideal solution are further calculated. According to the Euclidean distance between each scheme and the positive and negative ideal solutions, the relative closeness of each scheme to the positive ideal solution is obtained:

[0047]

[0048] In the formula The larger it is, the closer the decision-making plan is to the ideal solution and the better the plan is.

[0049] The data collected in step S3 include photovoltaic power generation benefit indicators, fishery economic benefit indicators, ecological benefit indicators and social benefit indicators, among which photovoltaic power generation benefit indicators include investment indicators, cost indicators and benefit indicators, fishery economic benefit indicators include fishery cost indicators and fishery benefit indicators, ecological benefit indicators include water environment indicators, biological ecological indicators and energy consumption indicators, and social benefit indicators are qualitative indicators, which are obtained once a quarter.

[0050] The optimization and application steps in step S3 include combining data quality and analysis results, adjusting and optimizing data collection indicators, establishing a new database, building a mathematical model and studying the influencing factors of benefit indicators.

[0051] Finally: The above are only preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for evaluating the economic and environmental benefits of a fishery-solar integrated project, characterized by: The method comprises the following steps: S1. Use the analytic hierarchy process (AHP) to construct an evaluation index system and determine the index weights; S2, using the approach to ideal ranking method (TOPSIS) to construct a comprehensive evaluation model to construct a comprehensive benefit evaluation model; S3. Data collection, analysis, optimization, application and formulation of optimization standards for the comprehensive benefits of the "fish-light integration" model.

2. The method for evaluating the economic and environmental benefits of a fishery-solar integrated project according to claim 1, characterized in that: The analytic hierarchy process described in step S1 includes the following steps: A1. Construct a hierarchical model; A2. Construct a judgment matrix; A3. Perform hierarchical single sorting and one-time test. If the test result is yes, proceed to the next step. If the test result is otherwise, jump back to A2; A4. Perform a total hierarchical sort and a one-time test. If the test result is yes, proceed to the next step. If the test result is otherwise, jump back to A2; A5. Calculate the weight of the solution layer; A6. Get the selection result.

3. The method for evaluating the economic and environmental benefits of a fishery-solar integrated project according to claim 2 is characterized by: The decision matrix in A2 is calculated using the following formula: Where a ij Indicator D i With indicator D j The ratio of the relative importance between ij >1, it means index D i Ratio Index D j Important; if a ij =1, it means index D i With indicator D j Equally important; if a ij <1, it means index D i Ratio Index D j Important. Calculate the eigenvalues ​​of matrix A, assuming that the largest eigenvalue is λ max , its corresponding normalized eigenvector W, In=[in1 in2 ... in n ]。 4. The method for evaluating the economic and environmental benefits of a fishery-solar integrated project according to claim 3 is characterized by: The TOPSIS method described in step S2 is a systematic evaluation method suitable for multi-index and multi-scheme decision analysis. It ranks multiple decision schemes by constructing "positive ideal solutions" and "negative ideal solutions". By calculating the weighted Euclidean distance between a certain scheme and the positive ideal solution and the negative ideal solution, the closeness of the scheme to the positive ideal solution is obtained, which is used as the basis for evaluating the pros and cons of each scheme. Assuming that m "fish-light integration" schemes are given, and each scheme is set with n evaluation indicators, it constitutes the original decision matrix X, that is: In order to eliminate the impact of different dimensions of each indicator on the decision-making of the scheme, the decision matrix is ​​dimensionless, and the positive ideal solution and the negative ideal solution are further calculated. According to the Euclidean distance between each scheme and the positive and negative ideal solutions, the relative closeness of each scheme to the positive ideal solution is obtained: Where η i The larger it is, the closer the decision-making plan is to the ideal solution and the better the plan is.

5. The method for evaluating the economic and environmental benefits of a fishery-solar integrated project according to claim 4 is characterized by: The data collection described in step S3 includes photovoltaic power generation benefit indicators, fishery economic benefit indicators, ecological benefit indicators and social benefit indicators, wherein the photovoltaic power generation benefit indicators include investment indicators, cost indicators and benefit indicators, the fishery economic benefit indicators include fishery cost indicators and fishery benefit indicators, the ecological benefit indicators include water environment indicators, biological ecological indicators and energy consumption indicators, and the social benefit indicators are qualitative indicators, which are obtained once a quarter.

6. The method for evaluating the economic and environmental benefits of a fishery-solar integrated project according to claim 5 is characterized by: The optimization and application steps described in step S3 include combining data quality and analysis results, adjusting and optimizing data collection indicators, establishing a new database, building a mathematical model and studying the influencing factors of benefit indicators.

Images