A production timing planning method for zero-carbon zones in agricultural and pastoral parks based on multi-energy complementarity

Abstract

The present invention discloses a production sequence planning method for a zero-carbon zone in an agricultural and pastoral park based on multi-energy complementarity, including: establishing an energy flow-carbon flow analysis model for calculating energy consumption and carbon emissions; determining the zero-carbon optimal transformation plan in combination with the characteristics of biomass green electricity and photovoltaic green electricity in the agricultural and pastoral park; under the condition of zero-carbon operation, establishing a target optimization model for the production sequence of the agricultural and pastoral zero-carbon zone with the energy efficiency, carbon emissions and electricity consumption of the agricultural and pastoral park as the target; solving to obtain the optimal production sequence planning, and configuring the generation sequence of biomass green electricity and photovoltaic green electricity in the agricultural and pastoral park and the electricity consumption sequence of each equipment in the agricultural and pastoral park. The present invention can determine the zero-carbon optimal transformation plan by quantitatively analyzing the energy consumption and carbon emissions of the agricultural and pastoral park energy, and at the same time reasonably configure the generation sequence of biomass green electricity and photovoltaic green electricity in the agricultural and pastoral park and the electricity consumption sequence of each equipment in the agricultural and pastoral park, thereby improving the energy resource utilization efficiency and economic benefits of the agricultural and pastoral park.

Description

Technical Field

[0001] The present invention relates to the technical field of zero-carbon planning in agricultural and pastoral parks, and in particular to a production timing planning method for zero-carbon zones in agricultural and pastoral parks based on multi-energy complementarity. Background Art

[0002] Carbon Neutral is a term for energy conservation and emission reduction, which refers to the total amount of carbon dioxide or greenhouse gas emissions generated directly or indirectly within a certain period of time. Through afforestation, energy conservation and emission reduction, etc., the carbon dioxide or greenhouse gas emissions generated by itself can be offset to achieve positive and negative offset, and then achieve relative "zero emissions".

[0003] Energy is the foundation for human survival and development. With the continuous development of the economy and society, the energy production and consumption patterns are undergoing major changes. The energy industry is shouldering new missions such as improving energy efficiency, ensuring energy security, promoting the consumption of new energy, and promoting environmental protection. The construction of traditional energy systems is mainly based on the vertical extension of a single system, and there is little physical interconnection and information interaction between energy systems. However, the transformation of energy production and consumption patterns requires changing the construction path and development model of traditional energy systems to build an integrated energy system. The integrated energy system organically coordinates and optimizes the production, distribution, conversion, consumption, storage and other links of various energy sources during the planning, design, construction and operation processes to achieve efficient conversion and cascade utilization of energy. It has been initially applied in various residential areas, smart buildings, and industrial parks, achieving a significant increase in the comprehensive utilization efficiency of system energy.

[0004] Agricultural and animal husbandry parks are rich in biomass resources, with a large amount of organic waste resources such as agricultural waste and livestock and poultry manure. However, the installed capacity of biomass power generation in existing agricultural and animal husbandry parks is low, and the utilization of organic waste resources is low, resulting in the fact that flexible resources have not been fully developed and utilized. Therefore, it is urgent to explore flexible and adjustable resources in agricultural and animal husbandry parks. Biogas power generation technology using biomass waste resources as raw materials has faster start-stop characteristics and the ability to quickly adjust power generation output. Its highly flexible and controllable advantages can quickly supplement power output when there is a sudden failure in the power system or other equipment is shut down. At the same time, it can also be coordinated and adjusted with other energy systems, and participate in the peak and frequency regulation services of the power grid through multi-energy synergy to provide support for the stable operation of the power system, which can greatly reduce the pressure on the operation of the power grid.

[0005] However, the comprehensive utilization of agricultural and animal husbandry resources involves multiple types of energy flows. Multi-energy complementary technology utilizes the temporal and spatial complementary characteristics of different energy resources in terms of power / energy. Through the synergy of multiple energy sources, it alleviates the contradiction between energy supply and demand and promotes the efficient utilization of renewable energy. Therefore, multi-energy complementary technology is an important means to efficiently utilize agricultural and animal husbandry biomass resources. Multi-energy complementarity will become an important breakthrough in promoting energy modernization and building a clean, low-carbon, safe and efficient energy system. The multi-energy complementary system can realize the integration and coupling of large-scale renewable energy and traditional energy. Compared with the independent operation mode of traditional energy, the multi-energy complementary system can utilize the advantages of conversion, utilization, complementarity and reasonable allocation between energy sources to improve the renewable energy absorption capacity and ensure the safe and stable operation of the power system. Summary of the invention

[0006] In view of the deficiencies of the above-mentioned prior art, the technical problem to be solved by the present invention is: how to provide a production timing planning method for zero-carbon zones in agricultural and pastoral parks based on multi-energy complementarity, which can determine the optimal zero-carbon transformation plan by quantitatively analyzing the energy consumption and carbon emissions of the agricultural and pastoral park energy, and at the same time reasonably configure the power generation timing of biomass green electricity and photovoltaic green electricity in the agricultural and pastoral park and the power consumption timing of various equipment in the agricultural and pastoral park, so as to improve the energy resource utilization efficiency and economic benefits of the agricultural and pastoral park.

[0007] In order to solve the above technical problems, the present invention adopts the following technical solutions:

[0008] A production timing planning method for zero-carbon zones in agricultural and animal husbandry parks based on multi-energy complementarity, comprising:

[0009] S1: Analyze the carbon flow-energy flow characteristics of the bio-derived chain in the agricultural and pastoral park, and establish an energy flow-carbon flow analysis model for calculating energy consumption and carbon emissions;

[0010] S2: Determine the optimal zero-carbon transformation plan based on the energy-carbon flow analysis model and the characteristics of biomass green electricity and photovoltaic green electricity in the agricultural and pastoral park;

[0011] S3: Realize zero-carbon operation of agricultural and animal husbandry parks based on the zero-carbon optimal transformation plan;

[0012] S4: Under the condition of zero-carbon operation, a target optimization model for the production time sequence of the agricultural and animal husbandry zero-carbon zone is established with the energy efficiency, carbon emissions and electricity consumption of the agricultural and animal husbandry park as the target;

[0013] S5: Solve the target optimization model of the agricultural and pastoral park to obtain the optimal production timing plan, and configure the power generation sequence of biomass green electricity and photovoltaic green electricity in the agricultural and pastoral park and the power consumption sequence of various equipment in the agricultural and pastoral park according to the optimal production timing plan.

[0014] Preferably, the carbon flow and energy flow of the agricultural and pastoral park are first comprehensively modeled to determine the correlation between energy utilization and carbon emissions, and to construct an energy flow-carbon flow analysis model; then, the carbon emission calculation and energy conversion process are embedded in the energy flow-carbon flow analysis model in the form of energy-processing conversion-energy consumption terminal.

[0015] Preferably, the carbon emissions are calculated by the following formula:

[0016] E i =∑(T in ×δ in );

[0017] E=∑(E i ×ω i );

[0018] Where: E i represents the emission of the ith greenhouse gas; T in represents the amount of the nth emission source of the i-th greenhouse gas; δ in represents the emission coefficient, i.e., the greenhouse gas emissions caused by the activity data of a unit emission source; E represents the total agricultural carbon emissions; ω i represents the global warming potential value of the i-th greenhouse gas.

[0019] Preferably, the energy consumption is calculated by the following energy consumption model:

[0020] Energy usage model:

[0021] 1) Energy usage model of plant tissue culture

[0022]

[0023] Where: E tc represents the total energy consumption required for the plant tissue culture process; μ represents the growth coefficient of the plant; x represents the start time of supplementary lighting; n represents the total number; z represents the total duration; E l Represents the energy consumption of a single plant for light; E th Indicates the energy consumption per unit time for temperature and humidity control;

[0024]

[0025] Where: E f Represents the total energy consumption required for the plant group aeroponic process; E w It indicates the energy consumption of a single plant for spraying;

[0026] 2) Energy use model of animal husbandry

[0027]

[0028] Where: E fcis the total energy consumption required for the animal growth process; α is the animal growth coefficient;

[0029] 3) Energy usage model of auxiliary lighting

[0030]

[0031] 4) Energy usage model of physical insecticide equipment

[0032]

[0033] 5) Energy usage model of nitrogen fixation equipment

[0034]

[0035] 6) Energy usage model of air cooler

[0036]

[0037] 7) Energy usage model of electric boiler

[0038]

[0039] 8) Energy usage model of splitting machine equipment

[0040]

[0041] 9) Energy usage model of organic fertilizer equipment

[0042]

[0043] 10) Energy usage model of sewage treatment equipment

[0044]

[0045] Where: E LED is the total energy consumption of auxiliary lighting equipment; LED E is the power of auxiliary lighting equipment; PC is the total energy consumption of physical insecticide equipment; P PC is the power of physical insecticide equipment; E NF is the total energy consumption of nitrogen fixation equipment; P NF is the power of nitrogen fixation equipment; E ER is the total energy consumption of the air cooler; P ER is the power of the air cooler; η is the efficiency; E EB is the total energy consumption of the electric boiler; P EB is the power of the electric boiler; E CM is the total energy consumption of the shunt equipment; P CM is the shunt device power; E EC is the total energy consumption of organic fertilizer equipment; P EC is the power of organic fertilizer equipment; ESTE is the total energy consumption of sewage treatment equipment; P STE For sewage treatment equipment power.

[0046] Preferably, the optimal zero-carbon transformation plan is determined through the following steps:

[0047] S201: Obtain the existing planning scheme of the agricultural and animal husbandry park;

[0048] S202: Under each planning scheme, the energy flow-carbon flow analysis model of the agricultural and pastoral park is used to calculate the corresponding energy consumption and carbon emissions by considering the characteristics of biomass waste green electricity and photovoltaic green electricity;

[0049] S203: Compare and analyze the energy consumption and carbon emissions under various planning schemes, and then select the optimal planning scheme as the optimal zero-carbon transformation scheme based on the carbon flow trajectory of the entire park and the comparison results.

[0050] Preferably, the target optimization model of the production time sequence of the agricultural and animal husbandry zero carbon zone is established through the following steps:

[0051] S401: Model the integrated energy system of the agricultural and pastoral park, analyze the load change characteristics of the integrated energy system under different time sequences and different operating conditions, and establish a dynamic optimization plan for load working state points;

[0052] S402: Use lithium battery energy storage technology and waste heat utilization technology in low-carbon energy-saving technologies to increase the load properties of biogas generators in agricultural and pastoral areas;

[0053] S403: With the goal of calculating the optimal capacity allocation of the economy, electricity consumption and carbon emissions of the integrated energy system, a target optimization model for the production timing of the agricultural and animal husbandry zero-carbon zone is constructed.

[0054] Preferably, the agricultural flexible load in the integrated energy system is modeled as follows:

[0055] 1) Transferable load model

[0056] [t1, t2] represents the period before the transfer, including:

[0057]

[0058] Where: C tl represents the dispatching cost of transferable load; C c represents the scheduling cost of unit power transfer; P τ represents the load power transferred within the τ period; α τ represents a 0-1 variable, 0 means no response and 1 means response;

[0059] Use [t tl-1 ,t tl+ ]After transfer, including:

[0060] α τ P τmin ≤P τ ≤α τ P τmax

[0061]

[0062] Where: P τmin Indicates the minimum power of the transferable load; P τmax Indicates the maximum power of the load that can be transferred; Indicates the minimum operating time of the device;

[0063] 2) Models that can reduce loads include:

[0064]

[0065]

[0066] Where: C rl represents the dispatching cost of load reduction per unit power; β τ Indicates whether it responds to cuts; Indicates the power before load shedding; Indicates the power after load reduction; N max Indicates the maximum number of reductions within the scheduling period; P rl,min Indicates the lower limit of the receiver load power; P rl,max represents the upper limit of the receiver load power; τ min Indicates the lower limit of the time that can be reduced; τ max Indicates the upper limit of the time that can be reduced.

[0067] Preferably, the energy equipment in the integrated energy system is modeled as follows:

[0068] 1) The pyrolysis gasification equipment model includes:

[0069]

[0070]

[0071] Where: represents the consumption of biomass by the pyrolysis gasifier in period t; Q S1 Indicates the lower heating value of biomass; V t PG represents the gas production of the pyrolysis gasifier in period t; η s It indicates the gasification efficiency of the pyrolysis gasifier; Q1 indicates the lower calorific value of biomass gas; represents the biochar production in period t; PGIt indicates the yield of biochar after biomass pyrolysis and gasification; They represent the annual straw purchase volume and the annual straw consumption of the pyrolysis gasifier respectively;

[0072] 2) High temperature anaerobic fermentation to produce biogas

[0073]

[0074] Where: T t B represents the temperature of the biogas digester during period t; Indicates the heat supply to the biogas digester during period t; K B 、c B , B 、v B , S B They represent the heat transfer coefficient of the contact surface, the specific heat capacity and density of the biogas slurry, and the volume and surface area of ​​the biogas tank respectively; Represents the daily biogas production; V t B Indicates the amount of biogas supplied during period t; a i Indicates the biogas production per unit mass of the i-th type of manure; m i , χ i They represent the mass of the i-th type of manure put into the biogas digester and the solid residual rate after conversion; Indicates the quality of the sludge.

[0075] Preferably, the target optimization model of the production time sequence of the agricultural and animal husbandry zero carbon zone is expressed by the following formula:

[0076] F = min(ATC, EER, CEV);

[0077] Where: F represents the optimal production schedule; ATC represents the economic target; EER represents the electricity consumption target; CEV represents the carbon emission target;

[0078] 1) The economic target is expressed by the following formula:

[0079] ATC=C O&M +C load +C grid +C ss ;

[0080] Where: ATC represents the total cost of the integrated energy system, i.e., the economic target; C grid Represents the cost of purchasing electricity; C O&M represents the operation and maintenance cost of the integrated energy system; C load represents the load regulation cost; C ss represents the start-stop cost;

[0081]

[0082] Where: C O&M,j represents the operation and maintenance cost of equipment j; C O&m,u,j is the operation and maintenance cost of a single device j;

[0083]

[0084] Where: a b,t represents the electricity purchase price at time t;

[0085]

[0086]

[0087] Where: a x,ss represents the single start-up and shutdown cost of unit x; b x,t is a 0-1 variable, indicating the working state of unit x at time t. A value of 0 indicates shutdown state, and a value of zero indicates startup state.

[0088] 2) The power consumption target is expressed by the following formula:

[0089] EER=E load +E IES ;

[0090] Where: EER represents the electricity consumption target; E load Indicates the power consumption of the load; E IES Indicates the power consumption of each device in the integrated energy system;

[0091] 3) The carbon emission target is expressed by the following formula:

[0092]

[0093] Where: CEV represents the total carbon emissions in agricultural and pastoral areas, that is, the carbon emission target; ω k,j represents the emission coefficient of pollutant j from emission source k; ζ EC -P represents the penalty fee for pollutant emissions; δ E,j represents the unit cost of pollutant j; P k (t) represents the power of emission source k at time t.

[0094] Preferably, the constraint function of the production time sequence target optimization model of the zero carbon area of ​​agriculture and animal husbandry is as follows:

[0095] 1) Resource constraints:

[0096]

[0097] Where: They represent the maximum supply of biogas and electricity in the integrated energy system respectively;

[0098] 2) Energy Constraints:

[0099]

[0100] Where: F ele 、F gas They represent the electricity and gas energy demands of the integrated energy system respectively;

[0101] 3) Equipment output constraints:

[0102]

[0103] Where: They are the upper and lower limits of the output of device X respectively; They represent the upper and lower limits of the output ramp rate of device X respectively;

[0104] 4) Agricultural constraints:

[0105]

[0106] Where: They represent the upper and lower limits of the set temperature of the farm respectively; They respectively represent the upper and lower limits of temperature changes in the farm.

[0107] 5) Photovoltaic output constraints

[0108]

[0109] Where: P t PV represents the photovoltaic output during period t; P t PV.pre It represents the predicted output of photovoltaic power in period t; Indicates the maximum output of photovoltaic power; Indicates the maximum amount of discarded light.

[0110] Compared with the prior art, the production timing planning method for zero-carbon zones in agricultural and pastoral parks based on multi-energy complementarity in the present invention has the following advantages:

[0111] Beneficial effects:

[0112] The present invention analyzes the carbon flow-energy flow characteristics of the bio-derived chain of the agricultural and animal husbandry park to establish an energy flow-carbon flow analysis model, and then determines the zero-carbon optimal transformation plan in combination with the biomass green electricity and photovoltaic green electricity characteristics of the agricultural and animal husbandry park. On the one hand, the present invention quantitatively analyzes the energy consumption and carbon emissions of the agricultural and animal husbandry park energy through the energy-carbon flow analysis model, which helps to more reasonably configure and use energy and improve the energy utilization efficiency of the agricultural and animal husbandry park; and the model can provide data support for the subsequent zero-carbon transformation and operation of the agricultural and animal husbandry park, and assist in improving the energy resource utilization efficiency and economic benefits of the agricultural and animal husbandry park. On the other hand, the present invention combines the characteristics of biomass green electricity and photovoltaic green electricity in the agricultural and pastoral park to determine the optimal zero-carbon transformation plan, and then realizes the zero-carbon operation of the agricultural and pastoral park based on the zero-carbon optimal transformation plan, which can significantly reduce the carbon emissions of the agricultural and pastoral park; at the same time, by considering the characteristics of biomass waste green electricity and photovoltaic green electricity, a biomass recycling system can be built to reduce the cost of the biomass waste treatment process; and by using biomass resources to generate electricity, it is also possible to quantify the economic benefits brought by biomass power generation participating in the peak and frequency regulation of the power grid while achieving efficient energy conservation and emission reduction and auxiliary service markets, thereby improving the energy resource utilization efficiency and economic benefits of the agricultural and pastoral park.

[0113] Under the condition of zero-carbon operation, the present invention establishes a target optimization model for the production sequence of the agricultural and animal husbandry zero-carbon zone with the energy efficiency, carbon emissions and electricity consumption of the agricultural and animal husbandry park as the target, and finally solves the target optimization model of the agricultural and animal husbandry park to obtain the optimal production sequence planning, and configures the power generation sequence of biomass green electricity and photovoltaic green electricity in the agricultural and animal husbandry park and the power consumption sequence of each equipment in the agricultural and animal husbandry park according to the optimal production sequence planning. First, by solving the target optimization model to obtain the optimal production sequence planning, the production process and equipment operation mode of the agricultural and animal husbandry park can be optimized, thereby improving the overall energy efficiency of the agricultural and animal husbandry park, which can not only reduce the operating cost of the park, but also improve the production efficiency and economic benefits of the park. Secondly, according to the optimal production sequence planning, the power generation sequence of biomass green electricity and photovoltaic green electricity in the agricultural and animal husbandry park can be configured to maximize the utilization of renewable energy in the park, which can not only reduce the park’s dependence on traditional energy and reduce carbon emissions, but also provide the park with a stable and sustainable energy supply to ensure the long-term development of the park. Finally, by configuring the power usage sequence of each device in the agricultural and animal husbandry park according to the optimal production sequence planning, it is possible to avoid excessive power load and energy waste caused by the simultaneous opening of the devices, thereby further improving the energy efficiency and economic benefits of the park, and at the same time, it is also possible to extend the service life of the equipment and reduce maintenance and replacement costs. In summary, the present invention can improve the energy resource utilization efficiency and economic benefits of the agricultural and animal husbandry park. BRIEF DESCRIPTION OF THE DRAWINGS

[0114] In order to make the purpose, technical solution and advantages of the invention more clear, the present invention will be further described in detail below with reference to the accompanying drawings, in which:

[0115] Figure 1A logical framework for the integrated urban energy development planning approach towards carbon neutrality;

[0116] Figure 2 This is the IES energy flow relationship diagram for agricultural and pastoral areas;

[0117] Figure 3 It is an energy flow-carbon flow analysis model for agricultural and pastoral areas;

[0118] Figure 4 Provide positive and negative carbon accounting and zero-carbon transformation methods for the entire chain of agricultural and animal husbandry zero-carbon parks;

[0119] Figure 5 An energy-saving method for optimizing the production sequence of the entire chain in zero-carbon agricultural and animal husbandry zones. DETAILED DESCRIPTION

[0120] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. The components of the embodiments of the present invention generally described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed invention, but only represents selected embodiments of the present invention. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work belong to the scope of protection of the present invention.

[0121] It should be noted that similar numbers and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in the subsequent drawings. In the description of the present invention, it should be noted that the orientation or position relationship indicated by the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inside", "outside", etc. is based on the orientation or position relationship shown in the drawings, or the orientation or position relationship in which the invention product is usually placed when used, which 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, and therefore cannot be understood as a limitation of the present invention. In addition, the terms "first", "second", "third", etc. are only used to distinguish the description, and cannot be understood as indicating or implying relative importance. In addition, the terms "horizontal", "vertical", etc. do not mean that the components are required to be absolutely horizontal or suspended, but can be slightly tilted. For example, "horizontal" only means that its direction is more horizontal than "vertical", and does not mean that the structure must be completely horizontal, but can be slightly tilted. In the description of the present invention, it is also necessary to explain that, unless otherwise clearly specified and limited, the terms "set", "install", "connect", and "connect" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0122] The following is a further detailed description through specific implementation methods:

[0123] Example:

[0124] This embodiment discloses a method for production timing planning of zero-carbon zones in agricultural and pastoral parks based on multi-energy complementarity.

[0125] like Figure 1 As shown in the figure, the production timing planning method of zero-carbon zone in agricultural and pastoral parks based on multi-energy complementarity includes:

[0126] S1: Analyze the carbon flow-energy flow characteristics of the bio-derived chain in the agricultural and pastoral park, and establish an energy flow-carbon flow analysis model for calculating energy consumption and carbon emissions;

[0127] S2: Determine the optimal zero-carbon transformation plan based on the energy-carbon flow analysis model and the characteristics of biomass green electricity and photovoltaic green electricity in the agricultural and pastoral park;

[0128] S3: Realize zero-carbon operation of agricultural and animal husbandry parks based on the zero-carbon optimal transformation plan;

[0129] S4: Under the condition of zero-carbon operation, a target optimization model for the production time sequence of the agricultural and animal husbandry zero-carbon zone is established with the energy efficiency, carbon emissions and electricity consumption of the agricultural and animal husbandry park as the target;

[0130] S5: Solve the target optimization model of the agricultural and pastoral park to obtain the optimal production timing plan, and configure the power generation sequence of biomass green electricity and photovoltaic green electricity in the agricultural and pastoral park and the power consumption sequence of various equipment in the agricultural and pastoral park according to the optimal production timing plan.

[0131] In this embodiment, the optimal planning of the zero-carbon production sequence of the agricultural and pastoral area is used as the target value of the zero-carbon development of the agricultural and pastoral area, and the target optimization model is solved by the rational point method to obtain the optimal production sequence planning. After determining the optimal production sequence planning for zero-carbon operation in the agricultural and pastoral area, the mutual coordination of the biomass energy unit and the photovoltaic unit can be achieved to promote the cascade utilization of energy.

[0132] The present invention analyzes the carbon flow-energy flow characteristics of the bio-derived chain of the agricultural and animal husbandry park to establish an energy flow-carbon flow analysis model, and then determines the zero-carbon optimal transformation plan in combination with the biomass green electricity and photovoltaic green electricity characteristics of the agricultural and animal husbandry park. On the one hand, the present invention quantitatively analyzes the energy consumption and carbon emissions of the agricultural and animal husbandry park energy through the energy-carbon flow analysis model, which helps to more reasonably configure and use energy and improve the energy utilization efficiency of the agricultural and animal husbandry park; and the model can provide data support for the subsequent zero-carbon transformation and operation of the agricultural and animal husbandry park, and assist in improving the energy resource utilization efficiency and economic benefits of the agricultural and animal husbandry park. On the other hand, the present invention combines the characteristics of biomass green electricity and photovoltaic green electricity in the agricultural and pastoral park to determine the optimal zero-carbon transformation plan, and then realizes the zero-carbon operation of the agricultural and pastoral park based on the zero-carbon optimal transformation plan, which can significantly reduce the carbon emissions of the agricultural and pastoral park; at the same time, by considering the characteristics of biomass waste green electricity and photovoltaic green electricity, a biomass recycling system can be built to reduce the cost of the biomass waste treatment process; and by using biomass resources to generate electricity, it is also possible to quantify the economic benefits brought by biomass power generation participating in the peak and frequency regulation of the power grid while achieving efficient energy conservation and emission reduction and auxiliary service markets, thereby improving the energy resource utilization efficiency and economic benefits of the agricultural and pastoral park.

[0133] Under the condition of zero-carbon operation, the present invention establishes a target optimization model for the production sequence of the agricultural and animal husbandry zero-carbon zone with the energy efficiency, carbon emissions and electricity consumption of the agricultural and animal husbandry park as the target, and finally solves the target optimization model of the agricultural and animal husbandry park to obtain the optimal production sequence planning, and configures the power generation sequence of biomass green electricity and photovoltaic green electricity in the agricultural and animal husbandry park and the power consumption sequence of each equipment in the agricultural and animal husbandry park according to the optimal production sequence planning. First, by solving the target optimization model to obtain the optimal production sequence planning, the production process and equipment operation mode of the agricultural and animal husbandry park can be optimized, thereby improving the overall energy efficiency of the agricultural and animal husbandry park, which can not only reduce the operating cost of the park, but also improve the production efficiency and economic benefits of the park. Secondly, according to the optimal production sequence planning, the power generation sequence of biomass green electricity and photovoltaic green electricity in the agricultural and animal husbandry park can be configured to maximize the utilization of renewable energy in the park, which can not only reduce the park’s dependence on traditional energy and reduce carbon emissions, but also provide the park with a stable and sustainable energy supply to ensure the long-term development of the park. Finally, by configuring the power usage sequence of each device in the agricultural and animal husbandry park according to the optimal production sequence planning, it is possible to avoid excessive power load and energy waste caused by the simultaneous opening of the devices, thereby further improving the energy efficiency and economic benefits of the park, and at the same time, it is also possible to extend the service life of the equipment and reduce maintenance and replacement costs. In summary, the present invention can improve the energy resource utilization efficiency and economic benefits of the agricultural and animal husbandry park.

[0134] Combination Figure 2 As shown in the figure, firstly, the carbon flow and energy flow of the agricultural and pastoral park are comprehensively modeled to determine the correlation between energy utilization and carbon emissions, and to construct an energy flow-carbon flow analysis model; then, the carbon emission calculation and energy conversion process are embedded in the energy flow-carbon flow analysis model in the form of energy-processing conversion-energy consumption terminal, so as to realize the analysis of energy input, flow, output, consumption and / or carbon emission characteristics of the agricultural and pastoral park; finally, the relevant data are input into the energy-processing conversion-energy consumption terminal in the energy flow-carbon flow analysis model, and the energy flow-carbon flow analysis of each stage in the whole life cycle is carried out (through the carbon emission calculation module and the energy conversion module) to realize the tracking and evaluation of energy flow-carbon flow at different stages.

[0135] The present invention adopts the form of primary energy-processing conversion-energy consumption terminal. This method divides energy and carbon emissions into different links in order to better understand the energy flow process and the generation mechanism of carbon emissions. Then, the energy conversion process is embedded, and the carbon emission calculation and energy conversion process are embedded in the energy flow-carbon flow analysis model. By considering the carbon emissions in the energy conversion process, the carbon emission load of energy utilization can be more accurately evaluated. And further decoupling analysis is performed on the energy flow-carbon flow model, including energy conversion analysis: a detailed analysis of the energy conversion process, such as energy processing, conversion and transportation. By analyzing the energy loss and carbon emission characteristics of each link, the impact of energy conversion on overall energy utilization and carbon emissions and carbon emission calculation analysis can be determined.

[0136] Specifically, carbon emissions are calculated using the following formula:

[0137] E i =∑(T in ×δ in );

[0138] E=∑(E i ×ω i );

[0139] Where: E i represents the emission of the i-th agricultural greenhouse gas, including carbon dioxide, methane and nitrous oxide; T in represents the amount of the nth emission source of the i-th greenhouse gas; δ in represents the emission coefficient, i.e., the greenhouse gas emissions caused by the activity data of a unit emission source; E represents the total agricultural carbon emissions; ω i represents the global warming potential value of the i-th agricultural greenhouse gas. According to the relevant IPCC report, the global warming potential values ​​of methane and nitrous oxide are 25 and 298 respectively (the global warming potential value of carbon dioxide is 1).

[0140] Specifically, the energy consumption is calculated by the following energy consumption model;

[0141] Energy usage model:

[0142] 1) Energy usage model of plant tissue culture

[0143]

[0144] Where: E tc represents the total energy consumption required for the plant tissue culture process; μ represents the growth coefficient of the plant; x represents the start time of supplementary lighting; n represents the total number; z represents the total duration; E l Represents the energy consumption of a single plant for light; E th Indicates the energy consumption per unit time for temperature and humidity control;

[0145]

[0146] Where: E f Represents the total energy consumption required for the plant group aeroponic process; E w It indicates the energy consumption of a single plant for spraying;

[0147] 2) Energy use model of animal husbandry

[0148]

[0149] Where: E fc is the total energy consumption required for the animal growth process; α is the animal growth coefficient;

[0150] 3) In terms of energy consumption of supporting facilities in the park, the energy consumption model of auxiliary lighting

[0151]

[0152] 4) Energy usage model of physical insecticide equipment

[0153]

[0154] 5) Energy usage model of nitrogen fixation equipment

[0155]

[0156] 6) Energy usage model of air cooler

[0157]

[0158] 7) Energy usage model of electric boiler

[0159]

[0160] 8) Energy usage model of splitting machine equipment

[0161]

[0162] 9) Energy usage model of organic fertilizer equipment

[0163]

[0164] 10) Energy usage model of sewage treatment equipment

[0165]

[0166] Where: E LED is the total energy consumption of auxiliary lighting equipment; LED E is the power of auxiliary lighting equipment; PC is the total energy consumption of physical insecticide equipment; P PC is the power of physical insecticide equipment; E NF is the total energy consumption of nitrogen fixation equipment; P NF is the power of nitrogen fixation equipment; E ER is the total energy consumption of the air cooler; P ER is the power of the air cooler; η is the efficiency; E EB is the total energy consumption of the electric boiler; P EB is the power of the electric boiler; E CM is the total energy consumption of the shunt equipment; P CM is the shunt device power; E EC is the total energy consumption of organic fertilizer equipment; P EC is the power of organic fertilizer equipment; E STEis the total energy consumption of sewage treatment equipment; P STE For sewage treatment equipment power.

[0167] The present invention integrates the data of energy flow and carbon flow and conducts a comprehensive analysis to explore the correlation between carbon emissions and energy utilization; through carbon-energy coupling modeling, decoupling methods and decoupling analysis processes, the relationship between energy utilization and carbon emissions in agricultural and animal husbandry parks can be more accurately understood, providing a scientific basis and decision-making support for the low-carbon operation and sustainable development of the parks.

[0168] Combination Figure 3 As shown, the optimal zero-carbon transformation plan is determined through the following steps:

[0169] S201: Obtain the existing planning scheme of the agricultural and animal husbandry park;

[0170] In this embodiment, the planning scheme refers to an existing agricultural and pastoral park case.

[0171] S202: Under each planning scheme, the energy flow-carbon flow analysis model of the agricultural and pastoral park is used to calculate the corresponding energy consumption and carbon emissions by considering the characteristics of biomass waste green electricity and photovoltaic green electricity;

[0172] S203: Compare and analyze the energy consumption and carbon emissions under various planning schemes, and then select the optimal planning scheme as the optimal zero-carbon transformation scheme based on the carbon flow trajectory of the entire park and the comparison results.

[0173] In this embodiment, the zero-carbon optimal transformation plan includes a multi-energy system management mode and an equipment working mode.

[0174] Combination Figure 4 As shown in the figure, the target optimization model of the production time sequence of the agricultural and animal husbandry zero carbon zone is established through the following steps:

[0175] S401: Model the integrated energy system of the agricultural and pastoral park, analyze the load change characteristics of the integrated energy system under different time sequences and different operating conditions, and establish a dynamic optimization plan for load working state points;

[0176] S402: Use lithium battery energy storage technology and waste heat utilization technology in low-carbon energy-saving technologies to increase the load properties of biogas generators in agricultural and pastoral areas;

[0177] S403: With the goal of calculating the optimal capacity allocation of the economy, electricity consumption and carbon emissions of the integrated energy system, a target optimization model for the production timing of the agricultural and animal husbandry zero-carbon zone is constructed.

[0178] like Figure 5 As shown in the figure, the integrated energy system of the agricultural and pastoral park includes agricultural flexible loads and energy equipment.

[0179] The agricultural flexible load in the integrated energy system is modeled as follows:

[0180] 1) Transferable load model

[0181] [t1, t2] represents the period before the transfer, including:

[0182]

[0183] Where: C tl represents the dispatch cost of transferable load (TL); C c represents the scheduling cost of unit power transfer; P τ represents the load power transferred within the τ period; α τ represents a 0-1 variable, 0 means no response and 1 means response;

[0184] Use [t tl-1 ,t tl+ ]After transfer, including:

[0185] α τ P τmin ≤P τ ≤α τ P τmax

[0186]

[0187] Where: P τmin Indicates the minimum power of the transferable load; P τmax Indicates the maximum power of the load that can be transferred; Indicates the minimum operating time of the device;

[0188] 2) Load reduction models include:

[0189]

[0190]

[0191] Where: C rl represents the dispatching cost of load reduction per unit power; β τ Indicates whether it responds to cuts; Indicates the power before load shedding; Indicates the power after load reduction; N max Indicates the maximum number of reductions within the scheduling period; P rl,min Indicates the lower limit of the receiver load power; P rl,max represents the upper limit of the receiver load power; τ min Indicates the lower limit of the time that can be reduced; τ max Indicates the upper limit of the time that can be reduced.

[0192] The energy equipment in the integrated energy system is modeled as follows:

[0193] 1) The pyrolysis gasification equipment model includes:

[0194]

[0195]

[0196] Where: represents the consumption of biomass by the pyrolysis gasifier in period t; Q S1 Indicates the lower heating value of biomass; V t PG represents the gas production of the pyrolysis gasifier in period t; η s It indicates the gasification efficiency of the pyrolysis gasifier; Q1 indicates the lower calorific value of biomass gas; represents the biochar production in period t; PG It represents the yield of biochar after biomass pyrolysis and gasification, which is taken as 10%; They represent the annual straw purchase volume and the annual straw consumption of the pyrolysis gasifier respectively;

[0197] 2) High temperature anaerobic fermentation to produce biogas

[0198]

[0199] Where: T t B represents the temperature of the biogas digester during period t; Indicates the heat supply to the biogas digester during period t; K B 、c B , B 、v B , S B They represent the heat transfer coefficient of the contact surface, the specific heat capacity and density of the biogas slurry, and the volume and surface area of ​​the biogas tank respectively; Represents the daily biogas production; V t B Indicates the amount of biogas supplied during period t; a i Indicates the biogas production per unit mass of the i-th type of manure; m i , χ i They represent the mass of the i-th type of manure put into the biogas digester and the solid residual rate after conversion; Indicates the quality of the sludge.

[0200] Under the condition of ensuring the zero-carbon and safe operation of the agricultural and pastoral park, the present invention analyzes the load change characteristics of the agricultural and pastoral park under different time sequences and different operating conditions, and establishes a dynamic optimization plan for the load working state points. The loads in the agricultural and pastoral park mainly include production steps that require the use of energy in the crop production process, such as power supply for planting facilities, power supply for purification, processing and storage equipment, power supply for planting tools and equipment, power supply for agricultural informatization and management systems, etc., as well as production steps that require the use of energy in the production of cattle products, such as power supply for lighting, power supply for feed mixers, power supply for cowshed insulation, and drinking water supply systems, etc., as well as places where power supply is needed in the process of biomass power generation.

[0201] In the framework proposed by the present invention, the gas unit and the power-to-gas equipment together constitute the connecting bridge between the power system and the biogas system on the supply side and the transmission side, realizing the energy interaction between the two energy systems. On the other hand, on the demand side, at some nodes, users can use both electricity and biogas at the same time. For some special electrical loads, although electricity is the main energy consumption in most cases, when the electricity supply is insufficient, the same load can be replaced by biogas. For example, the constant temperature load on some industrial production lines can be met by electric or gas boilers at the same time. This part of the load can be defined as a flexible load. Correspondingly, there is also a part of the traditional electricity or biogas load that cannot be replaced by another energy supply. Therefore, the flexible load is also a bridge connecting the power system and the biogas system on the demand side.

[0202] In the specific implementation process, the optimization planning of the integrated energy system coordination problem is a modeling that includes multiple objective functions. In order to obtain the optimal capacity allocation of the integrated energy system (IES) that comprehensively considers economy, electricity consumption and carbon emissions, a multi-objective optimization model with three objective functions is constructed. Three optimization indicators are established in the optimization process: annual total cost, electricity consumption and carbon emission value. The economic optimization of the integrated energy system can be reflected by the objective function of ATC minimum value. The life cycle cost of the integrated energy system includes capital cost, operation and maintenance cost, replacement cost and energy cost. Capital cost mainly refers to the equipment procurement cost of the integrated energy system. Operation and maintenance cost mainly refers to the cost during the operation of the equipment. In addition, the system electricity consumption can be expressed by the objective function of minimizing the grid interaction power. The lower the percentage of grid electricity purchase, the greater the independence of the system. The last objective function is the minimum carbon emission value. The main sources of carbon emissions in the integrated energy system are biogas combustion and coal-based grid power generation.

[0203] Specifically, the target optimization model of the production time sequence of the agricultural and animal husbandry zero-carbon zone is expressed by the following formula:

[0204] F = min(ATC, EER, CEV);

[0205] Where: F represents the optimal production schedule; ATC represents the economic target; EER represents the electricity consumption target; CEV represents the carbon emission target;

[0206] 1) The economic target is expressed by the following formula:

[0207] ATC=C O&M +C load +C grid +C ss ;

[0208] Where: ATC represents the total cost of the integrated energy system, i.e., the economic target; C grid Represents the cost of purchasing electricity; C O&M represents the operation and maintenance cost of the integrated energy system; C load represents the load regulation cost; C ss represents the start-stop cost;

[0209]

[0210] Where: C O&M,j represents the operation and maintenance cost of equipment j; C O&m,u,j is the operation and maintenance cost of a single device j;

[0211]

[0212] Where: a b,t represents the electricity purchase price at time t;

[0213]

[0214]

[0215] Where: a x,ss represents the single start-up and shutdown cost of unit x; b x,t is a 0-1 variable, indicating the working state of unit x at time t. A value of 0 indicates shutdown state, and a value of zero indicates startup state.

[0216] 2) The power consumption target is expressed by the following formula:

[0217] EER=E load +E IES ;

[0218] Where: E load Indicates the power consumption of the load; E IES Indicates the power consumption of each device in the integrated energy system;

[0219] 3) The carbon emission target is expressed by the following formula:

[0220]

[0221] Where: CEV represents the total carbon emissions in agricultural and pastoral areas, that is, the carbon emission target; ω k,j represents the emission coefficient of pollutant j from emission source k; ζ EC-P represents the penalty fee for pollutant emissions; δ E,j represents the unit cost of pollutant j; P k (t) represents the power of emission source k at time t.

[0222] The constraint function of the production time series target optimization model of the agricultural and animal husbandry zero carbon zone is as follows:

[0223] 1) Resource constraints:

[0224]

[0225] Where: They represent the maximum supply of biogas and electricity in the integrated energy system respectively;

[0226] 2) Energy Constraints:

[0227]

[0228] Where: F ele 、F gas They represent the electricity and gas energy demands of the integrated energy system respectively;

[0229] 3) Equipment output constraints:

[0230]

[0231] Where: They are the upper and lower limits of the output of device X respectively; They represent the upper and lower limits of the output ramp rate of device X respectively;

[0232] 4) Agricultural constraints:

[0233]

[0234] Where: They represent the upper and lower limits of the set temperature of the farm respectively; They respectively represent the upper and lower limits of temperature changes in the farm.

[0235] 5) Photovoltaic output constraints

[0236]

[0237] Where: P t PV represents the photovoltaic output during period t; P t PV.preIt represents the predicted output of photovoltaic power in period t; Indicates the maximum output of photovoltaic power; Indicates the maximum amount of discarded light.

[0238] The present invention is oriented towards the trend of high-quality livestock breeding, and reasonably coordinates the timing based on the power generation timing of biomass green electricity and photovoltaic green electricity and the power consumption timing of various equipment in the agricultural and pastoral park. For example, when the green electricity power generation power is high, as many time-shiftable loads as possible are configured, and when the green electricity power generation power is low, as few time-shiftable loads as possible are configured to absorb green electricity as much as possible to establish a high-quality energy-saving production model, and an energy-saving method that takes into account the load timing of the agricultural and animal husbandry zero-carbon zone is proposed.

[0239] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit the technical solution. Those skilled in the art should understand that those modifications or equivalent substitutions of the technical solution of the present invention that do not depart from the purpose and scope of the technical solution should be included in the scope of the claims of the present invention.

Claims

1. A production timing planning method for zero-carbon zones in agricultural and animal husbandry parks based on multi-energy complementarity, characterized in that: include: S1: Analyze the carbon flow-energy flow characteristics of the bio-derived chain in the agricultural and pastoral park, and establish an energy flow-carbon flow analysis model for calculating energy consumption and carbon emissions; S2: Determine the optimal zero-carbon transformation plan based on the energy-carbon flow analysis model and the characteristics of biomass green electricity and photovoltaic green electricity in the agricultural and pastoral park; Determine the optimal zero-carbon transformation plan through the following steps: S201: Obtain the existing planning scheme of the agricultural and animal husbandry park; S202: Under each planning scheme, the energy flow-carbon flow analysis model of the agricultural and pastoral park is used to calculate the corresponding energy consumption and carbon emissions by considering the characteristics of biomass waste green electricity and photovoltaic green electricity; S203: Compare and analyze the energy consumption and carbon emissions under various planning schemes, and then select the optimal planning scheme as the zero-carbon optimal transformation scheme based on the carbon flow trajectory of the entire park and the comparison results; S3: Realize zero-carbon operation of agricultural and animal husbandry parks based on the zero-carbon optimal transformation plan; S4: Under the condition of zero-carbon operation, a target optimization model for the production time sequence of the agricultural and animal husbandry zero-carbon zone is established with the energy efficiency, carbon emissions and electricity consumption of the agricultural and animal husbandry park as the target; The target optimization model of the production sequence of the agricultural and animal husbandry zero-carbon zone is established through the following steps: S401: Model the integrated energy system of the agricultural and pastoral park, analyze the load variation characteristics of the integrated energy system under different time sequences and different operating conditions, and establish a dynamic optimization plan for load working state points; In step S401, the agricultural flexible load in the integrated energy system is modeled as follows: 1) Transferable load model [t1, t2] represents the period before the transfer, including: Where: C tl represents the dispatching cost of transferable load; C c represents the scheduling cost of unit power transfer; P τ represents the load power transferred within the τ period; α τ represents a 0-1 variable, 0 means no response and 1 means response; Use [t tl-1 ,t tl+ ] indicates that after the transfer, it includes: Where: P τmin Indicates the minimum power of the transferable load; P τmax Indicates the maximum power of the load that can be transferred; Indicates the minimum operating time of the device; 2) Models that can reduce loads include: Where: C rl,1 represents the dispatching cost of load reduction per unit power; β τ Indicates whether it responds to cuts; Indicates the power before load shedding; Indicates the power after load reduction; N max Indicates the maximum number of reductions within the scheduling period; P rl,min Indicates the lower limit of the receiver load power; P rl,max represents the upper limit of the receiver load power; τ min Indicates the lower limit of the time that can be reduced; τ max Indicates the upper limit of the time that can be cut; The energy equipment in the integrated energy system is modeled as follows: 1) The pyrolysis gasification equipment model includes: Where: represents the consumption of biomass by the pyrolysis gasifier in period t; Q S1 Indicates the lower heating value of biomass; V t PG represents the gas production of the pyrolysis gasifier in period t; η s It indicates the gasification efficiency of the pyrolysis gasifier; Q1 indicates the lower calorific value of biomass gas; represents the biochar production in period t; PG It indicates the yield of biochar after biomass pyrolysis and gasification; They represent the annual straw purchase volume and the annual straw consumption of the pyrolysis gasifier respectively; 2) High temperature anaerobic fermentation to produce biogas Where: T t B represents the temperature of the biogas digester during period t; Indicates the heat supply to the biogas digester during period t; K B 、c B , B 、v B , S B They represent the heat transfer coefficient of the contact surface, the specific heat capacity and density of the biogas slurry, and the volume and surface area of ​​the biogas tank respectively; Represents the daily biogas production; V t B Indicates the amount of biogas supplied during period t; a i Indicates the biogas production per unit mass of the i-th type of manure; m i , X i They represent the mass of the i-th type of manure put into the biogas digester and the solid residual rate after conversion; Indicates the quality of digestate; S402: Use lithium battery energy storage technology and waste heat utilization technology in low-carbon energy-saving technologies to increase the load properties of biogas generators in agricultural and pastoral areas; S403: To calculate the optimal capacity allocation of the comprehensive energy system economy, electricity consumption and carbon emissions, a target optimization model for the production time series of the agricultural and animal husbandry zero-carbon zone is constructed; In step S403, the target optimization model of the production time sequence of the agricultural and animal husbandry zero carbon zone is expressed by the following formula: F = min(ATC, EER, CEV); Where: F represents the optimal production schedule; ATC represents the economic target; EER represents the electricity consumption target; CEV represents the carbon emission target; 1) The economic target is expressed by the following formula: ATC=C O&M +C load +C grid +C ss ; Where: ATC represents the total cost of the integrated energy system, i.e., the economic target; C grid Represents the cost of purchasing electricity; C O&M represents the operation and maintenance cost of the integrated energy system; C load represents the load regulation cost; C ss represents the start-stop cost; Where: C O&M,j represents the operation and maintenance cost of equipment j; C O&m,u,j is the operation and maintenance cost of a single device j; Where: a b,t represents the electricity purchase price at time t; Where: a x,ss represents the single start-up and shutdown cost of unit x; b x,t is a 0-1 variable, indicating the working state of unit x at time t. A value of 0 indicates shutdown state, and a value of zero indicates startup state. 2) The power consumption target is expressed by the following formula: HONOR=E load +E IES ; Where: EER represents the electricity consumption target; E load Indicates the power consumption of the load; E IES Indicates the power consumption of each device in the integrated energy system; 3) The carbon emission target is expressed by the following formula: Where: CEV represents the total carbon emissions in agricultural and pastoral areas, that is, the carbon emission target; ω k,j represents the emission coefficient of pollutant j from emission source k; ζ EC-P represents the penalty fee for pollutant emissions; δ E,j represents the unit cost of pollutant j; P k (t) represents the power of emission source k at time t; The constraint function of the production time series target optimization model of the agricultural and animal husbandry zero carbon zone is as follows: 1) Resource constraints: Where: They represent the maximum supply of biogas and electricity in the integrated energy system respectively; 2) Energy Constraints: Where: They represent the electricity and gas energy demands of the integrated energy system respectively; 3) Equipment output constraints: Where: They are the upper and lower limits of the output of device X respectively; They represent the upper and lower limits of the output ramp rate of device X respectively; 4) Agricultural constraints: Where: They represent the upper and lower limits of the set temperature of the farm respectively; They represent the upper and lower limits of temperature variation in the farm respectively; 5) Photovoltaic output constraints Where: P t PV represents the photovoltaic output during period t; P t PV.pre It represents the predicted output of photovoltaic power in period t; Indicates the maximum output of photovoltaic power; Indicates the maximum amount of abandoned light; S5: Solve the target optimization model of the agricultural and pastoral park to obtain the optimal production timing plan, and configure the power generation sequence of biomass green electricity and photovoltaic green electricity in the agricultural and pastoral park and the power consumption sequence of various equipment in the agricultural and pastoral park according to the optimal production timing plan.

2. The method for production timing planning of zero-carbon zones in agricultural and animal husbandry parks based on multi-energy complementarity as claimed in claim 1 is characterized by: In step S1, the carbon flow and energy flow of the agricultural and pastoral park are firstly comprehensively modeled to determine the correlation between energy utilization and carbon emissions, and to construct an energy flow-carbon flow analysis model; then, the carbon emission calculation and energy conversion process are embedded in the energy flow-carbon flow analysis model in the form of energy-processing conversion-energy consumption terminal.

3. The method for production timing planning of zero-carbon zones in agricultural and animal husbandry parks based on multi-energy complementarity as claimed in claim 2 is characterized by: In step S2, the carbon emissions are calculated using the following formula: E i =∑(T in ×δ in ); And=∑(And i ×ω i ); Where: E i represents the emission of the ith greenhouse gas; T in represents the amount of the nth emission source of the i-th greenhouse gas; δ in represents the emission coefficient, i.e., the greenhouse gas emissions caused by the activity data of a unit emission source; E represents the total agricultural carbon emissions; ω i represents the global warming potential value of the i-th greenhouse gas.

4. The method for production timing planning of zero-carbon zones in agricultural and animal husbandry parks based on multi-energy complementarity as claimed in claim 2 is characterized by: In step S2, energy consumption is calculated using the following energy consumption model; Energy usage model: 1) Energy usage model of plant tissue culture Where: E tc represents the total energy consumption required for the plant tissue culture process; μ represents the growth coefficient of the plant; x represents the start time of supplementary lighting; n represents the total number; z represents the total duration; E l Represents the energy consumption of a single plant for light; E th Indicates the energy consumption per unit time for temperature and humidity control; Where: E f Represents the total energy consumption required for the plant group aeroponic process; E w It indicates the energy consumption of a single plant for spraying; 2) Energy use model of animal husbandry Where: E fc is the total energy consumption required for the animal growth process; α is the animal growth coefficient; 3) Energy usage model of auxiliary lighting 4) Energy usage model of physical insecticide equipment 5) Energy usage model of nitrogen fixation equipment 6) Energy usage model of air cooler 7) Energy usage model of electric boiler 8) Energy usage model of splitting machine equipment 9) Energy usage model of organic fertilizer equipment 10) Energy usage model of sewage treatment equipment Where: E LED is the total energy consumption of auxiliary lighting equipment; LED E is the power of auxiliary lighting equipment; PC is the total energy consumption of physical insecticide equipment; P PC is the power of physical insecticide equipment; E NF is the total energy consumption of nitrogen fixation equipment; P NF is the power of nitrogen fixation equipment; E ER is the total energy consumption of the air cooler; P ER is the power of the air cooler; η is the efficiency; E EB is the total energy consumption of the electric boiler; P EB is the power of the electric boiler; E CM is the total energy consumption of the shunt equipment; P CM is the shunt device power; E EC is the total energy consumption of organic fertilizer equipment; P EC is the power of organic fertilizer equipment; E STE is the total energy consumption of sewage treatment equipment; P STE For sewage treatment equipment power.

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