Fishing light complementary project comprehensive evaluation method based on fishing light water carbon coupling model

Abstract

The invention provides a fishing-light complementary project comprehensive evaluation method based on a fishing-light water-carbon coupling model, and the fishing-light water-carbon coupling model is established and is used for comprehensively evaluating operation and overall environmental benefits of a fishing-light complementary project. According to the measured fish, light, water and carbon data, CNI and CI are used for evaluation, the fish and light complementation project is evaluated under the condition that all elements are comprehensively considered, and project improvement can be carried out according to evaluation. On one hand, the invention provides a systematic method for comprehensive evaluation of a fishing-light complementary power station, and solves the problem of heavy light and light fishing in the prior art; on the other hand, quantitative evaluation of fishing, light, water and carbon is carried out by adopting a coupling model, and the adaptability of the method can be improved by giving weights. The operation condition of the fishing-light complementation project is evaluated by using the fishing-light-water-carbon coupling model, so that the problem of'heavy light and light fishing 'in the development process of the fishing-light complementation project can be avoided within the controllable range of related factors of existing fishing, light, water and carbon.

Description

Technical Field

[0001] The present invention belongs to the field of complementary fishery and photovoltaic, and relates to the application of a fishery-photovoltaic-water-carbon coupling model, especially in the feasibility evaluation of complementary fishery and photovoltaic projects. Background Art

[0002] Photovoltaic power generation has received extensive attention due to its rich solar energy resources and pollution-free characteristics. However, ordinary photovoltaics have limitations such as large land resource occupation, single source of economic return, and limited ecological benefits. Complementary fishery and photovoltaic, through the mode of photovoltaic power generation on water and aquaculture underwater, realizes "dual use of one piece of land" and well solves the above problems.

[0003] Complementary fishery and photovoltaic refers to a new development model that combines fishery aquaculture and photovoltaic power generation. Specifically, a solar photovoltaic power station is built on the water surface of fishery aquaculture. By setting up battery panels on the water surface, aquatic products such as fish and shrimp can be cultured in the water area below the battery panels. Peng Xiaotao et al. disclosed a comprehensive benefit evaluation method for a complementary fishery and photovoltaic power station, objectively and quantitatively evaluating the actual operation effect of a complementary fishery and photovoltaic power station from economic indicators, environmental indicators, and social indicators; i Chen et al. first systematically evaluated the efficiency of 292 complementary fishery and photovoltaic power stations in China from 2014 to 2022, and proposed that the ratio of newly built annual power generation to total construction cost should be higher than 259 GWh / 100 million CNY, and the land use efficiency should be higher than 81 MW / km 2 ; Vo et al. outlined the application of solar energy in aquaculture, emphasizing the potential and future trends of solar power generation. It can be seen that the current evaluation criteria for complementary fishery and photovoltaic projects focus on the efficiency of photovoltaic power stations, land use efficiency, and solar power generation potential. Fishery refers to fish farming, photovoltaic refers to photovoltaic power generation, water refers to water environment, and carbon refers to carbon emissions. Hereinafter, they are referred to as fishery, photovoltaic, water, and carbon for short; Complementary fishery and photovoltaic projects should be comprehensively considered and evaluated from aspects such as "fishery, photovoltaic, water, and carbon". However, there is currently little research on the evaluation system for the operating status of complementary fishery and photovoltaic, and there is also a phenomenon of emphasizing photovoltaic over fishery in reality. There is an urgent need to establish an evaluation method that couples the four aspects of "fishery, photovoltaic, water, and carbon".

[0004] To scientifically and quantitatively evaluate the relationship between various elements in a complementary fishery and photovoltaic project and its overall environmental resource benefits, model construction and formula quantification are essential. Research shows that complementary fishery and photovoltaic panels can improve water quality, reduce near-surface wind speed, increase surface temperature, and reduce water evaporation; Complementary fishery and photovoltaic water can improve the efficiency of photovoltaic power generation (water cooling); However, complementary fishery and photovoltaic panels may also reduce dissolved oxygen in water, increase water temperature, etc., which have an adverse impact on aquaculture. Summary of the Invention

[0005] The purpose of the present invention is to provide a fishery-photovoltaic-water-carbon coupling model machine evaluation method for evaluating complementary fishery and photovoltaic projects.

[0006] To achieve the above object, the present invention adopts the following technical solutions:

[0007] A comprehensive evaluation method for fishery-photovoltaic complementary projects based on a fishery-light-water-carbon coupling model, used to evaluate fishery-photovoltaic complementary projects, includes the following steps:

[0008] Step S1: Define the data collection boundary of the fishery-photovoltaic complementary project. The data collection boundary includes a spatial boundary, a carbon emission scope, and a time boundary, which are used to ensure the integrity, comparability, and operability of carbon emission accounting;

[0009] Step S2: Construct a fishery-light-water-carbon coupling model. The fishery-light-water-carbon coupling model includes a comprehensive coupling index and a consistency index;

[0010] The comprehensive coupling index is constructed by separately collecting, comparing, and analyzing the factors affecting the fishery, light, water, and carbon situations, and summing the products of the weights of each factor and the values after comparison and analysis; it is used to evaluate the comprehensive operation efficiency of the fishery, light, water, and carbon;

[0011] The consistency index is obtained by normalizing the fishery, light, water, and carbon data of the fishery-photovoltaic complementary project and analyzing the coupling situation of the fishery, light, water, and carbon data; it is used to evaluate the development coordination degree of the fishery, light, water, and carbon;

[0012] Step S3: Based on the fishery, light, water, and carbon data of the fishery-photovoltaic complementary project collected by the fishery-light-water-carbon coupling model, quantitatively evaluate the fishery-photovoltaic complementary project, and evaluate its operation efficiency, carbon emission, sustainability, and system coordination.

[0013] Preferably, in step S2, the data is classified into four categories: fishery, light, water, and carbon. The fishery data of the fishery includes the fishery aquaculture area, fishery aquaculture species, and fishery output; the photovoltaic data of the light includes the shading ratio of the photovoltaic panels and the photovoltaic power generation per unit installed capacity; the water quality and water volume data of the water includes the annual water inflow, pond water quality data, and project water use; the carbon data of the carbon includes energy consumption, photovoltaic power generation, and carbon emission; the coupling index is analyzed and processed using the fishery, light, water, and carbon data;

[0014] To obtain specific carbon emission data, the present invention draws on the definition of the greenhouse gas emission scope of goods and services in the GHG protocol, and the carbon data is divided into three scopes: Scope 1, Scope 2, and Scope 3;

[0015] Among them, the carbon data in Scope 1 includes one or more of the direct carbon emissions generated by fishery aquaculture and fishing during the operation of the fishery-photovoltaic complementary project, the photovoltaic power generation of the photovoltaic power station, the local carbon emission factor, and the contribution value of the fishery carbon sink within the boundary range to carbon reduction;

[0016] The carbon data in Scope 2 includes one or more data on energy consumption - related carbon emissions generated from the purchased heat and electricity during the construction, operation, and demolition of the fishery - photovoltaic complementary project;

[0017] The carbon data in Scope 3 includes one or more data on carbon emissions generated from the waste produced during the construction, operation, and demolition of the fishery - photovoltaic complementary project, the building materials during construction, the chemicals used in the fishery - photovoltaic complementary project, and the transportation of waste, building materials, and chemicals.

[0018] Preferably, according to the formulas in IPCC 2019 and "Provincial Greenhouse Gas Inventory Compilation Guide", calculate the carbon reduction effect of the fishery - photovoltaic complementary project for the carbon emission inventories in Scopes 1, 2, and 3. The specific calculation formulas are as follows:

[0019] C = E P - E F - E Energy - E C Equation (I)

[0020] In the formula: C - total carbon reduction of the fishery - photovoltaic - water carbon system (kg / CO2eq); E P - carbon dioxide equivalent obtained by multiplying the power generation of the photovoltaic system by the emission factor (kg / CO2eq); E F - carbon dioxide emissions during the fishery production process (kg / CO2eq); E Energy - carbon dioxide emission equivalent of the energy consumption of the fishery - photovoltaic complementary system (kg / CO2eq); E C - carbon dioxide emission equivalent generated by the chemicals used in the fishery - photovoltaic complementary system (kg / CO2eq); E CS - fishery carbon sink (kg / CO2eq);

[0021] Scope 1:

[0022] E P = E × EF electricity Equation (II)

[0023] In the formula: E is the photovoltaic power generation of the fishery - photovoltaic complementary project (kW·h); EF electricity - electricity consumption emission factor;

[0024] E F = ∑(EF fish,i × m fish,i ) + ∑(EF feed,i × m feed,i ) Equation (III)

[0025] In the formula: m fish,i is the mass of the i - th aquaculture product, EF fish,i is the carbon dioxide emission factor of the i - th aquaculture product; m feed,iThe mass of the i-th feed added, EF feed,i is the carbon element content of the i-th feed.

[0026] Range two:

[0027] E ENergy = E eletricity × EF eletricity + E oil × EF oil Equation (IV)

[0028] In the formula: E electricity ——Power consumption during the operation stage of the fishery-photovoltaic complementary system (kW·h); EF electricity ——Power consumption emission factor; E oil ——Fuel consumption for fishery fishing, etc. (kg); EF oil ——Corresponding fuel emission factor.

[0029] Range three:

[0030]

[0031] In the formula: ——Carbon dioxide emission factor of the i-th type of chemical agent (kgCO2 / kg); C i ——Consumption of the i-th type of chemical agent (kg).

[0032] Preferably, in step S2, during the construction of the comprehensive coupling index, when comparing and analyzing fishery output, photovoltaic power generation per unit installed capacity, project water use, and carbon emissions, the fishery output is compared with the local average fishery output, the photovoltaic power generation per unit installed capacity is compared with the local average photovoltaic power generation per unit installed capacity, the project water use is analyzed in combination with the water-saving coefficient, and the carbon emissions are compared with the local average photovoltaic and fishery carbon emissions;

[0033] The calculation formula of the comprehensive coupling index CNI is

[0034]

[0035] Among them, γ i is the weight of the i-th variable;

[0036] I i is the index after the comparative analysis of the i-th variable;

[0037] Preferably, when constructing the comprehensive coupling index only based on fishery, photovoltaic, water, and carbon data, the comprehensive coupling index is CNI FPWC ;

[0038] CNI FPWCDuring the construction process, when comparing and analyzing fishery output, photovoltaic power generation per unit installed capacity, project water use, and carbon emissions, the fishery output is compared with the local average fishery output, the photovoltaic power generation per unit installed capacity is compared with the local average photovoltaic power generation per unit installed capacity, the project water use is analyzed in combination with the water-saving coefficient, and the carbon emissions are compared with the local average photovoltaic and fishery carbon emissions; or

[0039] CNI FPWC The formula for

[0040] CNI FPWC is as follows: F I F +γ P I P +γ W I W +γ C I C ) Equation (II)

[0041] Wherein, γ F , γ P , γ W , γ C are the weight factors of fishery, photovoltaic, water, and carbon respectively, 0 < γ i < 1,

[0042] I F , I P , I W、 I C are the coefficients after normalization of the fishery yield increase coefficient, photovoltaic efficiency increase coefficient, comprehensive water-saving coefficient, and comprehensive carbon reduction coefficient respectively;

[0043]

[0044] F represents the ratio of the mu yield of the project fishery to the local average mu yield of the fishery. When it is greater than 1, it means an increase in yield, indicating a synergistic effect in fishery output when fishery production is combined with photovoltaic power generation; when it is equal to 1, it means an additive effect; when it is less than 1, it means an antagonistic effect. In particular, according to the current statistical data, F min = 0.8, F max = 2;

[0045] P represents the ratio of the power generation per unit installed capacity of the fishery-photovoltaic complementary project to the average value of the power generation per unit installed capacity of the local photovoltaic project, which is used to evaluate the efficiency increase brought by the water surface cooling effect to photovoltaic power generation, indicating the synergistic effect in photovoltaic power generation efficiency when fishery production is combined with photovoltaic power generation; in particular, according to the current statistical data, P min = 0.8, P max = 1.22;

[0046] W is used to represent the water saving rate of the fishery-photovoltaic complementary project, which is used to evaluate the water saving effect brought about by reducing the water surface evaporation due to the shading of the photovoltaic panels, thereby reducing the water consumption of fishery, and reflecting the synergistic effect of reducing water consumption after the combination of fishery production and photovoltaic power generation; In particular, according to the current statistical data, W min = 0, W max = 1;

[0047] C represents the ratio of the carbon emission reduction of the fishery-photovoltaic complementary project to the difference between the carbon emission reduction of a conventional photovoltaic project with the same installed capacity and the carbon emissions of a fishery project with the same output, which is used to evaluate the overall carbon emission reduction efficiency of the project and reflects the synergistic effect produced by the combination of fishery production and photovoltaic power generation compared with the separate implementation of the two; In particular, according to the current statistical data, C min = 0.8, C max = 1.25;

[0048] Where:

[0049] F i is the per-mu yield of the i-th aquaculture product under the fishery-photovoltaic complementary mode, F a,i is the local average per-mu yield of this aquaculture product, and α i is the proportionality coefficient, such as taking the ratio of the area of this aquaculture product to the total aquaculture area, and n is the total number of aquaculture products in the fishery-photovoltaic complementary base;

[0050] E is the photovoltaic power generation, and E t is the total local photovoltaic power generation; IC is the photovoltaic installed capacity, and IC t is the total local photovoltaic installed capacity;

[0051] W1 is the annual water inflow of the fishery-photovoltaic complementary project, W2 is the water volume collected by precipitation in the pond annually, W3 is the annual water outflow of this project, W4 is the annual water infiltration loss, and W5 is the annual increase in water storage of this project, with the unit of m 3 ; E PET is the local evaporation, with the unit of m;

[0052] C FPWC is the total carbon emission reduction of the fishery-photovoltaic complementary project; EF is the emission factor, and C Fa is the average carbon emission of the fishery with the same output;

[0053] CNI PFWC During the construction of CNI, when normalizing water volume, energy consumption, and carbon emissions, the water volume is normalized using a logarithmic relationship, and the energy consumption and carbon emissions are normalized using a quadratic function relationship; or

[0054] CNI FPWC The formula of is as follows:

[0055]

[0056] I P = β3×P 2 + β4×P + β5 Equation (VIII)

[0057] I W = β6 + β7×ln(W) Equation (IX)

[0058] I C = β8×C 2 + β9×C + β 10 Equation (X)

[0059] where β1, β2, β3, β4, β5, β6, β7, β8, β9, β 10 are fitting coefficients.

[0060] Preferably, it further includes the step of grading the fishery-photovoltaic complementary project, including the following:

[0061] Combining multiple said comprehensive coupling indicators, calculating the overall system score to obtain the comprehensive coupling index, and the grades of the comprehensive coupling index include but are not limited to: excellent, good, better, average, poor;

[0062] Combining multiple consistency indicators, calculating the consistency coefficient of the system, and the grades of the consistency coefficient include but are not limited to: relatively excellent, good, average, poor.

[0063] Preferably, the comprehensive coupling index is defined as CNI. When CNI ≥ 80, it is excellent; when 70 ≤ CNI < 80, it is good; when 60 ≤ CNI < 70, it is better; when 50 ≤ CNI < 60, it is average; when CNI < 50, it is poor;

[0064] The consistency coefficient is defined as CI. If 90 ≤ CI ≤ 100, the coordination of fishery, photovoltaic, water, and carbon is relatively excellent; if 80 ≤ CI < 90, the coordination of the four is good; if 60 ≤ CI < 80, the coordination of the four is average; if 0 ≤ CI < 60, the coordination of the four is poor.

[0065] Preferably, in step S2, when the consistency indicator evaluates the development coordination degree of fishery, photovoltaic, water, and carbon, the evaluation indicators include the fishery production increase coefficient, the photovoltaic efficiency increase coefficient, the comprehensive water saving coefficient, and the comprehensive carbon reduction coefficient.

[0066] Preferably, the consistency indicator is the consistency coefficient CI;

[0067] The formula for the consistency coefficient CI is as follows:

[0068]

[0069] where

[0070]

[0071] I1' is the normalized fishery index;

[0072] I2' is the normalized photovoltaic index;

[0073] I3' is the normalized water index;

[0074] I4' is the normalized carbon index;

[0075] A is the average value of the four after normalization.

[0076] Preferably, the factors include the shading ratio of photovoltaic panels, the fishery aquaculture area, the types of fishery aquaculture, the annual water intake, the pond water quality data, the energy consumption, the regional solar radiation, the terrain or the management factors.

[0077] The present invention provides a new idea for considering the synergy of fishery, light, water and carbon, and evaluates the operation level of the fishery-photovoltaic complementary project from two aspects of comprehensive operation efficiency and development coordination degree, which is not only objective but also more in line with the actual situation. The "fishery-light-water-carbon" coupling model provided by the present invention can explore the influence of various factors such as the shading ratio of photovoltaic panels, the fishery aquaculture area, the types of fishery aquaculture, the annual water intake, the pond water quality data, the energy consumption, the regional solar radiation, the terrain or the management factors on the fishery-light-water-carbon coupling of the fishery-photovoltaic complementary project.

[0078] Compared with the prior art, the present invention has the following beneficial effects:

[0079] The present invention establishes a coupling model of fishery, light, water and carbon and uses it to comprehensively evaluate the operation and overall environmental benefits of the fishery-photovoltaic complementary project. According to the measured fishery, light, water and carbon data, CNI and CI are used for evaluation, so as to evaluate the fishery-photovoltaic complementary project under the condition of comprehensively considering various elements and improve the project according to the evaluation. On the one hand, the present invention provides a systematic method for comprehensive evaluation of fishery-photovoltaic power stations, solving the problem of traditional emphasis on light and neglect of fishery; on the other hand, a coupling model is adopted for quantitative evaluation of fishery, light, water and carbon, and the adaptability of the method can be improved by assigning weights.

[0080] Using the fishery-light-water-carbon coupling model to evaluate the operation of the fishery-photovoltaic complementary project helps to avoid the problem of "emphasis on light and neglect of fishery" in the development process of the fishery-photovoltaic complementary project within the controllable range of the existing fishery, light, water and carbon related factors. BRIEF DESCRIPTION OF THE DRAWINGS

[0081] Figure 1 It is a conceptual diagram of fishery-light-water-carbon coupling in a comprehensive evaluation method for fishery-photovoltaic complementary projects based on a fishery-light-water-carbon coupling model provided for an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0082] Next, in combination with the accompanying drawings in the embodiments of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments.

[0083] As Figure 1 shown, a comprehensive evaluation method for a fishery-solar complementary project based on a fishery-solar-water-carbon coupling model provided in this embodiment includes the following steps:

[0084] Step S1: Define the data collection boundary of the fishery-solar complementary project. The data collection boundary includes a spatial boundary, a carbon emission range, and a time boundary, which are used to ensure the integrity, comparability, and operability of carbon emission accounting;

[0085] Step S2: Construct a fishery-solar-water-carbon coupling model. The fishery-solar-water-carbon coupling model includes a comprehensive coupling index and a consistency index;

[0086] The comprehensive coupling index is constructed by collecting, comparing, and analyzing the factors affecting the fishery, solar, water, and carbon conditions respectively, and summing the products of the weights of each factor and the values after comparative analysis; it is used to evaluate the comprehensive operation efficiency of the fishery, solar, water, and carbon.

[0087] The consistency index analyzes the coupling situation of the fishery, solar, water, and carbon data of the fishery-solar complementary project through normalization processing of the fishery, solar, water, and carbon data of the fishery-solar complementary project; it is used to evaluate the development coordination degree of the fishery, solar, water, and carbon;

[0088] Step S3: Based on the fishery, solar, water, and carbon data of the fishery-solar complementary project collected by the fishery-solar-water-carbon coupling model, quantitatively evaluate the fishery-solar complementary project, and evaluate its operation efficiency, carbon emission, sustainability, and system coordination.

[0089] This embodiment uses the comprehensive coupling index CNI (Comprehensive Nexus Index) to evaluate the comprehensive operation efficiency of the fishery-solar complementary project. The calculation formula of the comprehensive coupling index CNI is

[0090]

[0091] where γ i is the weight of the i-th variable;

[0092] I i is the index after comparative analysis of the i-th variable;

[0093] When constructing the comprehensive coupling index only based on water, energy, and carbon data, the comprehensive coupling index is CNI FPWC , and the specific formula is as follows:

[0094] CNI FPWC = 100×(γ F I F + γ P I P + γ W I W + γ C I C ) Formula (II)

[0095] where γ F , γ P , γ W , γ C are the weight factors of fishing, solar, water, and carbon respectively, 0 < γ i < 1,

[0096] I F , I P , I W、 I C are the coefficients after normalization of the fishery production increase coefficient, photovoltaic efficiency increase coefficient, comprehensive water saving coefficient, and comprehensive carbon reduction coefficient respectively;

[0097]

[0098] F represents the ratio of the fishery mu yield of the project to the local average fishery mu yield. Greater than 1 indicates an increase in production, representing the synergistic effect in fishery production after the combination of fishery production and photovoltaic power generation; equal to 1 indicates an additive effect, and less than 1 indicates an antagonistic effect. In particular, according to the current statistical data, F min = 0.8, F max = 2.

[0099] P represents the ratio of the power generation per unit installed capacity of the fishery-solar complementary project to the average power generation per unit installed capacity of the local photovoltaic project, used to evaluate the efficiency increase brought by the water surface cooling effect to photovoltaic power generation, representing the synergistic effect in photovoltaic power generation efficiency after the combination of fishery production and photovoltaic power generation; in particular, according to the current statistical data, P min = 0.8, P max = 1.22.

[0100] W is used to represent the water saving rate of the fishery-solar complementary project, used to evaluate the water saving effect brought by reducing the water surface evaporation due to the shading of the photovoltaic panels, thereby reducing the water consumption of the fishery, reflecting the synergistic effect in reducing water consumption after the combination of fishery production and photovoltaic power generation; in particular, according to the current statistical data, W min = 0, W max = 1.

[0101] C represents the ratio of the carbon reduction of the fishery-photovoltaic complementary project to the difference between the carbon reduction of a general photovoltaic project with the same installed capacity and the carbon emissions of a fishery project with the same output, which is used to evaluate the overall carbon reduction efficiency of the project and reflects the synergistic effect generated by the combination of fishery production and photovoltaic power generation compared to the separate implementation of the two. In particular, based on the current statistical data, C min = 0.8, C max = 1.25.

[0102] Among them:

[0103] F i is the yield per mu of the i-th aquaculture product under the fishery-photovoltaic complementary mode, F a,i is the local average yield per mu of this aquaculture product, and α i is the proportionality coefficient, such as taking the proportion of the area of this aquaculture product in the total aquaculture area, and n is the total number of aquaculture products in the fishery-photovoltaic complementary base;

[0104] E is the photovoltaic power generation, and E t is the total local photovoltaic power generation; IC is the photovoltaic installed capacity, and IC t is the total local photovoltaic installed capacity.

[0105] W1 is the annual water inflow of the fishery-photovoltaic complementary project, W2 is the water volume collected by precipitation in the pond annually, W3 is the annual water outflow of this project, W4 is the annual water infiltration loss, and W5 is the annual increase in water storage of this project, with the unit of m 3 . E PET is the local evaporation, with the unit of m.

[0106] C FPWC is the total carbon reduction of the fishery-photovoltaic complementary project; EF is the emission factor, and C Fa is the average carbon emissions of the fishery with the same output.

[0107] CNI PFWC During the construction process, when normalizing water volume, energy consumption, and carbon emissions, the water volume is normalized using a logarithmic relationship, and energy consumption and carbon emissions are normalized using a quadratic function relationship; or

[0108] CNI FPWC The formula is as follows:

[0109]

[0110] I P = β3 × P 2 + β4 × P + β5 Equation (VIII)

[0111] I W = β6 + β7 × ln(W) Equation (IX)

[0112] I C = β8 × C 2 + β9 × C + β 10 Equation (X)

[0113] where β1, β2, β3, β4, β5, β6, β7, β8, β9, β 10 are fitting coefficients.

[0114] Furthermore, it also includes the steps of grading the fishery-photovoltaic complementary project, as follows:

[0115] Combining multiple said comprehensive coupling indicators, calculate the overall system score to obtain the comprehensive coupling index, and the grades of the comprehensive coupling index include but are not limited to: excellent, good, fair, average, poor;

[0116] The grades of the consistency coefficient include but are not limited to: relatively excellent, good, average, poor.

[0117] Preferably, define the comprehensive coupling index as CNI. When CNI ≥ 80, it is excellent; when 70 ≤ CNI < 80, it is good; when 60 ≤ CNI < 70, it is fair; when 50 ≤ CNI < 60, it is average; when CNI < 50, it is poor;

[0118] Define the consistency coefficient as CI. If 90 ≤ CI ≤ 100, the coordination among fishery, photovoltaic, water, and carbon is relatively excellent; if 80 ≤ CI < 90, the coordination among the four is good; if 60 ≤ CI < 80, the coordination among the four is average; if 0 ≤ CI < 60, the coordination among the four is poor.

[0119] Furthermore, use the consistency coefficient to characterize the development coordination degree among fishery, photovoltaic, water, and carbon. The specific formula is as follows:

[0120] The formula for the consistency coefficient CI is as follows:

[0121]

[0122] where

[0123]

[0124] i1’ is the normalized fishery index;

[0125] I2’ is the normalized photovoltaic index;

[0126] i3’ is the normalized water index;

[0127] I4’ is the normalized carbon index;

[0128] A is the average value of the four after normalization.

[0129] CI is the consistency coefficient of the three.

[0130] If 90 ≤ CI ≤ 100, the coordination among water, energy, and carbon is relatively good; if 80 ≤ CI < 90, the coordination among the three is good; if 60 ≤ CI < 80, the coordination among the three is average; if 0 ≤ CI < 60, the coordination among the three is poor.

[0131] It should be noted that the present invention also provides the application of the fishery-photovoltaic-water-carbon coupling model, using the fishery-photovoltaic-water-carbon coupling model to evaluate the operation of the fishery-photovoltaic complementary project, or improving the operation level of the fishery-photovoltaic complementary project by exploring the influence of various factors on the fishery-photovoltaic-water-carbon coupling of the fishery-photovoltaic complementary project. For example, according to the constructed fishery-photovoltaic-water-carbon coupling model, select the required fishery, photovoltaic, water, and carbon input data, and use CNI and CI to evaluate the operation level of the fishery-photovoltaic complementary project or improve the operation level of the fishery-photovoltaic complementary project; the factors include but are not limited to: the shading ratio of photovoltaic panels, the fishery aquaculture area, the types of fishery aquaculture, the annual water intake, the pond water quality data, energy consumption, the regional solar radiation, the terrain, or management factors.

[0132] In order to obtain specific carbon emission data, the present invention draws on the definition of the greenhouse gas emission scope of goods and services in the GHG protocol, and the carbon data is divided into three scopes: Scope 1, Scope 2, and Scope 3;

[0133] Among them, the carbon data in Scope 1 includes one or more of the direct carbon emissions generated by fishery aquaculture and fishing during the operation of the fishery-photovoltaic complementary project, the power generation of the photovoltaic power station, the local carbon emission factor, and the contribution value of the fishery carbon sink within the boundary range to carbon reduction;

[0134] The carbon data in Scope 2 includes one or more of the energy consumption-related carbon emissions generated by the purchased heat and electricity during the construction, operation, and demolition of the fishery-photovoltaic complementary project;

[0135] The carbon data in Scope 3 includes one or more of the carbon emissions generated by the waste generated during the construction, operation, and demolition of the fishery-photovoltaic complementary project, the building materials during the construction process, the chemicals of the fishery-photovoltaic complementary project, and the transportation process of the waste, building materials, and chemicals;

[0136] Preferably, according to the formulas in IPCC2019 and the "Guidelines for Compiling Provincial Greenhouse Gas Inventories", calculate the carbon reduction effect of the fishery-photovoltaic complementary for the carbon emission inventories in Scopes 1, 2, and 3. The specific calculation formulas are as follows:

[0137] C = E P -E F -E Energy -E C Formula (I)

[0138] Where: C——Total carbon reduction of the fishery-solar-hydrocarbon system (kg / CO2eq); E P ——Carbon dioxide equivalent obtained by multiplying the power generation of the photovoltaic system by the emission factor (kg / CO2eq); E F ——Carbon dioxide emissions during fishery production (kg / CO2eq); E Energy ——Carbon dioxide emission equivalent of the energy consumption of the fishery-solar complementary system (kg / CO2eq); E C ——Carbon dioxide emission equivalent generated by the chemicals used in the fishery-solar complementary system (kg / CO2eq); E CS ——Fishery carbon sink (kg / CO2eq);

[0139] Scope 1:

[0140] E P = E × EF electricity Formula (II)

[0141] Where: E is the photovoltaic power generation of the fishery-solar complementary project (kW·h); EF electricity ——Power consumption emission factor;

[0142] E F = ∑(EF fish,i × m fish,i ) + ∑(EF feed,i × m feed,i ) Formula (III)

[0143] Where: m fish,i is the mass of the i-th aquaculture product, EF fish,i is the carbon dioxide emission factor of the i-th aquaculture product; m feed,i is the mass of the i-th feed added, EF feed,i is the carbon element content of the i-th feed.

[0144] Scope 2:

[0145] E Energy = E electricity × EF electricity + E oil × EF oil Formula (IV)

[0146] Where: E electricity ——Power consumption during the operation stage of the fishery-solar complementary system (kW·h); EF electricity ——Power consumption emission factor; E oil ——Fuel consumption for fishery fishing, etc. (kg); EF oil ——Corresponding fuel emission factor.

[0147] Scope 3:

[0148]

[0149] In the formula: —— Carbon dioxide emission factor of the i-th type of agent (kgCO2 / kg); C i —— Consumption of the i-th type of agent (kg).

[0150] The technical solutions of the embodiments will be clearly and completely described below in combination with specific parameters:

[0151] Select a certain fishery-photovoltaic complementary construction park C as an example. The total investment in this park is 970 million yuan, the fishery covers an area of 20,000 mu, the total installed capacity is 110 MW, 300,000 photovoltaic modules are installed, and the annual power generation reaches 145 million kWh.

[0152] Example 1 (Definition of total project carbon emissions)

[0153] Drawing on the definition of the greenhouse gas emission scope of goods and services in the GHG protocol, in this example, Scope 1 is selected, that is, the carbon data is selected from one or more of the following data: direct carbon emissions generated by fishery farming and fishing during the operation of the fishery-photovoltaic complementary project, the power generation of the photovoltaic power station * the local carbon emission factor, and the contribution value of fishery carbon sinks within the boundary to carbon reduction, for calculating the carbon reduction effect of the fishery-photovoltaic complementary.

[0154] Results of the comprehensive carbon reduction effect of fishery-photovoltaic complementary

[0155]

[0156]

[0157] Example 2

[0158] According to the data provided by "China Fishery Statistical Yearbook 2024", the website of Chongming District Government of Shanghai, "Annual Report on the Development Situation and Policy Consultation of the White Leg Shrimp Industry in Shanghai (2023)", and a certain fishery-photovoltaic complementary project in Chongming District of Shanghai, this example scores a certain fishery-photovoltaic complementary project in Chongming District of Shanghai from four aspects: fishery (F), photovoltaic (P), water (W), and carbon (C). See the following table:

[0159] Coefficient Value F 1.022 P 1.146 W 0.281 C 1.149

[0160] It is stipulated that F < 0.8 is unqualified; 0.8 ≤ F < 0.9 is poor; 0.9 ≤ F < 1.0 is average; 1.0 ≤ F < 1.1 is good; 1.1 ≤ F < 1.3 is excellent; 1.3 ≤ F < 2 is outstanding. The fishery level of this project is good.

[0161] It is stipulated that P < 0.8 is unqualified; 0.8 ≤ P < 0.95 is poor; 0.95 ≤ P < 1.02 is average; 1.02 ≤ F ≤ 1.05 is good; 1.05 ≤ P < 1.12 is excellent; 1.12 ≤ P < 1.22 is outstanding. The photovoltaic level of this project is outstanding.

[0162] It is stipulated that W < 0.01 is unqualified; 0.01 ≤ W < 0.1 is poor; 0.1 ≤ W < 0.2 is average; 0.2 ≤ W < 0.3 is good; 0.3 ≤ W < 0.46 is excellent; 0.46 ≤ W < 1 is outstanding. The water-saving level of this project is good.

[0163] It is stipulated that C < 0.8 is unqualified; 0.8 ≤ C < 0.95 is poor; 0.95 ≤ C < 1.0 is average; 1.0 ≤ C < 1.05 is good; 1.05 ≤ C < 1.13 is excellent; 1.13 ≤ C < 1.25 is outstanding. The carbon reduction level of this project is outstanding.

[0164] Example 3

[0165] To further determine the comprehensive situation of this fishery-photovoltaic complementary construction project, the comprehensive coupling index CNI of this example was calculated using the fishery-photovoltaic-water-carbon coupling model. FPWC Set the weight factors β1, β2, β3, β4, β5, β6, β7, β8, β9, β 10 The values are as shown in the following table. By default, the larger the fishery yield per mu, the larger the power generation per unit installed capacity of the photovoltaic panel, the larger the water-saving rate, and the larger the carbon reduction amount of the project, the larger the normalized value.

[0166] β1-β 10 Calculation results

[0167]

[0168]

[0169] The data in the following table are from the following information: "China Fisheries Statistical Yearbook 2024", the website of the Chongming District Government of Shanghai, "Annual Report on the Development Situation and Policy Consultation of the White Leg Shrimp Industry in Shanghai (2023)"; internal data provided by a fishery-photovoltaic complementary project in Chongming District, Shanghai;

[0170] Then the calculation formula of CNI FPWC is:

[0171]

[0172] I P = β3 × P 2 + β4 × P + β5

[0173] IW = β6 + β7×ln(W)

[0174] I C = β8×C 2 + β9×C + β 10

[0175] In the formula, I F 、I P 、I W 、I C are respectively the indicators after normalization of the fishery yield per mu, the power generation of the photovoltaic panel per unit installed capacity, the water-saving rate, and the carbon reduction of the project; F represents the ratio of the fishery yield per mu of the project to the average fishery yield per mu in the local area; P represents the ratio of the power generation per unit installed capacity of the fishery-photovoltaic complementary project to the average of the power generation per unit installed capacity of the local photovoltaic project; W is used to represent the water-saving rate of the fishery-photovoltaic complementary project, which is used to evaluate the reduction of water surface evaporation due to the shading of the photovoltaic panel; C represents the ratio of the carbon reduction of the fishery-photovoltaic complementary project to the difference between the carbon reduction of the ordinary photovoltaic project with the same installed capacity and the carbon emissions of the fishery project with the same output.

[0176] Taking the annual average value of a fishery-photovoltaic complementary project in Chongming District, Shanghai as an example, the data obtained are: F = 1.0219; P = 1.1464; W = 0.2807; C = 1.1492. Substituting into the formula, we get:

[0177] CNI FPWC Calculation result

[0178] Index Value <![CDATA[I F > 0.7371 <![CDATA[I P > 0.8689 <![CDATA[I W > 0.7323 <![CDATA[I C > 0.8855 <![CDATA[CNI FPWC > 80.3

[0179] It is stipulated that 80 ≤ CNI FPWC ≤ 100 is excellent, 70 ≤ CNI FPWC < 80 is good, 60 ≤ CNI FPWC < 70 is relatively good, 40 ≤ CNI FPWC < 60 is average, 0 < CNI FPWC < 40 is poor. Therefore, the comprehensive operation of this fishery-photovoltaic complementary project is excellent.

[0180] Example 4

[0181] In this example, the consistency coefficient CI of the indicators for the coordinated development of fishery, photovoltaic, water, and carbon in the fishery-photovoltaic complementary construction project is calculated.

[0182] CI calculation result

[0183] Coefficient Value <![CDATA[I1′]]> -0.2629 <![CDATA[I2′]]> -0.1311 <![CDATA[I3′]]> -0.2770 <![CDATA[I4′]]> -0.1145 CI 96.8

[0184] It can be seen that in this example, the coordinated development degree of fishery, photovoltaic, water, and carbon is relatively good. Especially for the fishery coefficient I1' and the photovoltaic coefficient I2', there is no phenomenon of "emphasizing photovoltaic over fishery" that is common in the industry.

[0185] In the description of the present invention, it should be understood that the orientation or positional relationship indicated by the terms "center", "longitudinal", "transverse", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", etc. is based on the orientation or positional relationship shown in the drawings. It is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it should not be construed as a limitation to the present invention.

[0186] In addition, the terms "first" and "second" are only used for descriptive purposes and should not be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of such features. In the description of the present invention, "a plurality of" means two or more, unless otherwise specifically defined.

[0187] The above is only a preferred specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention, according to the technical solution and inventive concept of the present invention, making equivalent substitutions or changes, should be covered by the protection scope of the present invention.

Claims

1. A comprehensive evaluation method for fishery-solar complementary projects based on a fishery-solar-water-carbon coupling model, used to evaluate fishery-solar complementary projects, characterized in that: The steps include: Step S1: Delineate the data collection boundary of the fishery-solar complementary project, wherein the data collection boundary includes the spatial boundary, the carbon emission range and the time boundary, so as to ensure the integrity, comparability and operability of the carbon emission accounting; Step S2: constructing a fishery-light-water-carbon coupling model, wherein the fishery-light-water-carbon coupling model includes a comprehensive coupling index and a consistency index; The comprehensive coupling index is constructed by collecting, comparing and analyzing the factors affecting the conditions of fish, light, water and carbon respectively, and the sum of the products of the weights of each factor and the values ​​after comparison and analysis; it is used to evaluate the comprehensive operating efficiency of fish, light, water and carbon; The consistency index analyzes the coupling of fishery, light, water and carbon data by normalizing the fishery, light, water and carbon data of the fishery-light complementary project; it is used to evaluate the degree of coordination of the development of fishery, light, water and carbon; Step S3: Based on the fishery, light, water and carbon data of the fishery-light complementary project collected by the fishery-light-water-carbon coupling model, a quantitative evaluation is conducted on the fishery-light complementary project to assess its operating efficiency, carbon emissions, sustainability and system coordination.

2. The method for evaluating a fishery-photovoltaic complementary project according to claim 1, characterized in that: In the step S2, the data are classified into four categories: fishery, light, water, and carbon. The fishery data of fishery include fishery breeding area, fishery breeding types, and fishery output; the photovoltaic data of light include photovoltaic panel shading ratio, photovoltaic power generation per unit installed capacity; the water quality and quantity data of water include annual water inflow, pond water quality data, and project water use; the carbon data of carbon include energy consumption, photovoltaic power generation, and carbon emissions; the coupled indicators are analyzed and processed using the fishery, light, water, and carbon data; The carbon data is divided into three scopes: Scope 1, Scope 2 and Scope 3; The carbon data in scope 1 include direct carbon emissions from aquaculture and fishing during the operation of the fishery-solar complementary project, the power generation of photovoltaic power stations, local carbon emission factors, and one or more of the contribution of fishery carbon sinks to carbon reduction within the boundary; The carbon data in Scope 2 include: one or more data of carbon emissions from energy consumption generated by purchased heat and electricity during the construction, operation and dismantling of the fishery-solar complementary project; The carbon data in scope three include: waste generated during the construction, operation and demolition of the fish-solar complementary project, building materials used in the construction process, chemicals used in the fish-solar complementary project, and one or more data on carbon emissions generated during the transportation of waste, building materials and chemicals.

3. The fishery-light-water-carbon coupling model according to claim 2 is characterized in that: In the step S2, when the fishery output, photovoltaic power generation per unit installed capacity, project water use and carbon emissions are compared and analyzed in the process of constructing the comprehensive coupling index, the fishery output is compared with the local average fishery output, the photovoltaic power generation per unit installed capacity is compared with the local average power generation per unit installed capacity, the project water use is analyzed in combination with the water saving coefficient, and the carbon emissions are compared with the local average photovoltaic and fishery carbon emissions; The calculation formula of the comprehensive coupling index CNI is: Among them, γ i is the weight of the i-th variable; I i is the index after comparative analysis of the i-th variable; Preferably, when a comprehensive coupling index is constructed based only on fish, light, water and carbon data, the comprehensive coupling index is CNI FPWC ; CNI FPWC During the construction process, when comparing and analyzing fishery output, photovoltaic power generation per unit installed capacity, project water use, and carbon emissions, fishery output is compared with the local average fishery output, photovoltaic power generation per unit installed capacity is compared with the local average power generation per unit installed capacity, project water use is analyzed in combination with the water saving coefficient, and carbon emissions are compared with the local average photovoltaic and fishery carbon emissions; or CNI FPWC The formula is as follows: CNI FPWC = 100 × (γ F I F + γ P I P + γ W I W + γ C I C ) Equation (Ⅱ) Among them, γ F , γ P , γ W , γ C are the weight factors of fish, light, water and carbon respectively, 0<γ i <1, I F ,I P ,I W、 I C They are the normalized coefficients of fishery production increase coefficient, photovoltaic efficiency coefficient, comprehensive water saving coefficient and comprehensive carbon reduction coefficient; F represents the ratio of the per-acre yield of the project fishery to the average per-acre yield of the local fishery. If it is greater than 1, it means an increase in yield, which means that the combination of fishery production and photovoltaic power generation has produced a synergistic effect in fishery yield; if it is equal to 1, it means an additive effect, and if it is less than 1, it means an antagonistic effect. In particular, according to current statistical data, F min =0.8, F max =2; P represents the ratio of the unit installed capacity of the fishery-photovoltaic complementary project to the average unit installed capacity of the local photovoltaic project, which is used to evaluate the efficiency of photovoltaic power generation brought by the water surface cooling effect, and represents the synergistic effect of the combination of fishery production and photovoltaic power generation on photovoltaic power generation efficiency; in particular, according to current statistical data, P min =0.8, P max =1.22; W is used to represent the water-saving rate of the fishery-photovoltaic complementary project, and is used to evaluate the water-saving effect brought about by reducing water surface evaporation due to the shading of photovoltaic panels, thereby reducing water consumption in fisheries, and reflecting the synergistic effect of combining fishery production with photovoltaic power generation in reducing water consumption; in particular, according to current statistical data, W min =0,W max =1; C represents the ratio of the carbon reduction of the fishery-photovoltaic complementary project to the carbon reduction of the ordinary photovoltaic project with the same installed capacity and the carbon emissions of the fishery project with the same output. It is used to evaluate the overall carbon reduction efficiency of the project and reflect the synergistic effect of combining fishery production with photovoltaic power generation compared to the synergy of the two separately. In particular, according to current statistical data, C min =0.8, C max =1.25; in: F i is the per-acre yield of the i-th aquaculture product under the fish-light complementary model, F a,i is the local average per-acre yield of the aquaculture product, α i is the proportionality coefficient, If the proportion of the aquaculture area to the total aquaculture area is taken, n is the total number of aquaculture products in the fishery-solar complementary base; E is the photovoltaic power generation, E t is the total amount of local photovoltaic power generation; IC is the photovoltaic installed capacity, IC t is the total local photovoltaic installed capacity; W1 is the annual water inflow of the fish-solar complementary project, W2 is the amount of water collected by the pond through annual precipitation, W3 is the annual water outflow of the project, W4 is the amount of water lost through annual infiltration, and W5 is the annual water storage increase of the project, the unit is m 3 ; E PET is the local evaporation, in m; C FPWC is the total carbon reduction of the fishery-solar complementary project; EF is the emission factor, C Fa is the average carbon emissions of fisheries with the same production; CNI PFWC During the construction process, when normalizing water volume, energy consumption, and carbon emissions, water volume is normalized using a logarithmic relationship, and energy consumption and carbon emissions are normalized using a quadratic function relationship; or CNI FPWC The formula is as follows: I P = β3 × P 2 + β4 × P + β5 Equation (VIII) I W = β6 + β7 × ln(W) Equation (IX) I C =β8×C 2 +β9×C+β 10 expression(X) Among them, β1, β2, β3, β4, β5, β6, β7, β8, β9, β 10 are fitting coefficients.

4. The method for evaluating a fishery-photovoltaic complementary project according to claim 1, characterized in that: It also includes steps for classifying fish-solar complementary projects, including the following: Combining multiple comprehensive coupling indicators, calculating the overall score of the system to obtain a comprehensive coupling index, the levels of which include but are not limited to: excellent, good, better, fair, and poor; The consistency coefficient of the system is calculated by combining multiple consistency indicators. The levels of the consistency coefficient include but are not limited to: better, good, average, and poor.

5. A method for evaluating a fishery-photovoltaic complementary project according to claim 4, characterized in that: The comprehensive coupling index is defined as CNI, when CNI ≥ 80 is excellent, 70 ≤ CNI < 80 is good, 60 ≤ CNI < 70 is good, 50 ≤ CNI < 60 is fair, and CNI < 50 is poor; The consistency coefficient is defined as CI. If 90≤CI≤100, the coordination of fishery, light, water and carbon is better; if 80≤CI<90, the coordination of the four is good; if 60≤CI<80, the coordination of the four is average; if 0≤CI<60, the coordination of the four is poor.

6. The method for evaluating a fishery-photovoltaic complementary project according to claim 1, characterized in that: In step S2, when the consistency index evaluates the degree of development coordination of fishery, light, water and carbon, the evaluation indicators include fishery production increase coefficient, photovoltaic efficiency coefficient, comprehensive water saving coefficient and comprehensive carbon reduction coefficient.

7. The method for evaluating a fishery-photovoltaic complementary project according to claim 5, characterized in that: The consistency index is the consistency coefficient CI; The formula of the consistency coefficient CI is as follows: in, I1' is the normalized fishery index; I2' is the normalized photovoltaic index; I3' is the normalized water index; I4' is the normalized carbon index; A is the average of the four after normalization.

8. The method for evaluating a fishery-photovoltaic complementary project according to claim 1, characterized in that: The factors include the shading ratio of photovoltaic panels, the aquaculture area, the type of aquaculture, the annual water inflow, pond water quality data, energy consumption, regional solar radiation, terrain or management factors.

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