Carbon emission analysis method and device for rural integrated energy system

Abstract

The application discloses a rural comprehensive energy system carbon emission analysis method and device, and belongs to the technical field of comprehensive energy system carbon emission; the method comprises the following steps: establishing a rural comprehensive energy system carbon reduction mode, wherein the carbon reduction mode comprises constructing a biogas engineering to produce natural gas through microbial anaerobic fermentation, and constructing an agricultural greenhouse to absorb carbon dioxide filtered from the process of purifying natural gas from the biogas engineering; based on the rural comprehensive energy system carbon reduction mode, establishing a rural biogas engineering carbon emission and heat load model, and an agricultural greenhouse electricity, heat and carbon dioxide load model; based on the rural biogas engineering carbon emission and heat load model and the agricultural greenhouse electricity, heat and carbon dioxide load model, a rural comprehensive energy system carbon emission analysis model is constructed, so that carbon emission analysis is performed; the method can guide the planning and operation of the rural comprehensive energy system, indicate the carbon synergistic mechanism of the biogas engineering and the agricultural greenhouse, and realize rural energy saving and emission reduction.

Description

Technical Field

[0001] This invention belongs to the field of carbon emission technology for integrated energy systems, specifically relating to a method and apparatus for analyzing carbon emissions from rural integrated energy systems. Background Technology

[0002] Currently, rural energy demand is gradually increasing, primarily in developing countries. However, energy supply still relies mainly on biomass combustion or traditional fossil fuels, resulting in low energy efficiency and high carbon emissions, accounting for 15% of global carbon emissions. At the same time, rural areas possess abundant spatial resources, making them priority areas for solar and wind energy development, and also have rich biomass resources, representing significant potential for energy conservation and emission reduction. Rural integrated energy systems, as a new energy utilization method in rural areas, improve energy efficiency by coupling various heterogeneous energy sources such as electricity and heat, and are an important pathway for the development and consumption of renewable energy.

[0003] CO2 recycling is a crucial direction for achieving energy conservation and emission reduction. Industrial / urban integrated energy systems employ carbon capture technology and electrochemical natural gas / methanol / ammonia coupling to achieve CO2 recycling, but face challenges such as high cost and energy consumption. In contrast, rural areas possess natural biological carbon cycles and abundant zero-carbon biomass resources, making biomass energy development key to rural energy conservation and emission reduction. Biogas projects and agricultural greenhouses, as key equipment for biomass energy development in rural areas, directly impact the accuracy and effectiveness of carbon cycle analysis through refined modeling. Existing research considers the carbon reduction potential of biomass thermochemical and biochemical conversion technologies such as agricultural waste, employing static linearized models of biogas projects and agricultural greenhouses to analyze the coupling characteristics of photovoltaic, wind, and biogas projects.

[0004] Traditional research has only considered the carbon reduction effect brought about by the integration of new energy sources, without systematically analyzing how to fully realize the carbon reduction potential of rural integrated energy systems from the perspective of biocarbon cycle, and lacks accurate modeling of carbon emissions at each stage of the system. At the same time, traditional models have not considered the dynamic changes in biomass feedstock yield and the synergistic carbon reduction mechanism of biogas projects and smart agricultural greenhouses. Summary of the Invention

[0005] In view of the shortcomings of the prior art, the purpose of this invention is to provide a method and apparatus for carbon emission analysis of rural integrated energy systems, which solves the problems in the prior art.

[0006] The objective of this invention can be achieved through the following technical solutions: The carbon emission analysis method for rural integrated energy systems includes the following steps: Establish a carbon reduction model for rural integrated energy systems, which includes constructing biogas projects to produce natural gas through microbial anaerobic fermentation and constructing agricultural greenhouses to absorb the carbon dioxide filtered out during the natural gas purification process from the biogas projects; Based on the carbon reduction model of rural integrated energy system, establish a carbon emission and heat load model for rural biogas project; Based on the carbon reduction model of rural integrated energy system, establish an electricity, heat and carbon dioxide load model for agricultural greenhouses; Based on the carbon emission and heat load models of rural biogas projects, as well as the electricity, heat, and carbon dioxide load models of agricultural greenhouses, a carbon emission analysis model for rural integrated energy systems is constructed. The carbon emissions are calculated according to the energy usage of each stage and the carbon emission factor method, specifically: carbon dioxide fixation by plant photosynthesis, carbon emissions from energy used in agricultural planting activities, carbon emissions from energy used in residential life, carbon emissions from energy used in agricultural transportation, carbon emissions from livestock intestinal fermentation, and carbon emissions from soil microbial decomposition. The carbon emissions within the rural integrated energy system are also calculated based on the carbon emission models of biogas projects and greenhouse carbon load models.

[0007] Furthermore, the carbon emission model for the biogas project is as follows: In the formula, Indicates the natural gas production rate. , These represent the biogas production potential and volatile solids concentration, respectively. HRT Indicates the hydraulic residence period; Indicates the growth rate of microorganisms; Indicates the biogas fermentation kinetic parameters; Indicates the biogas fermentation temperature; Indicates the volume of the raw material; , These represent the volume fractions of natural gas and carbon dioxide, respectively. , These represent the production of natural gas and carbon dioxide, respectively.

[0008] Furthermore, the biogas engineering heat load model is as follows: In the formula, It is the heat load during feeding; It is the specific heat capacity of the raw material; yes Feed rate at any given time; It is the temperature of the raw materials; This indicates the amount of heat dissipated from the fermentation tank. This represents the overall heat transfer coefficient of the fermentation tank; This indicates the total area of ​​the fermentation tank; This indicates the set temperature for anaerobic fermentation; Indicates the outdoor temperature; , These are the heat transfer coefficient and area of ​​the building envelope, respectively; Indicates the total thermal resistance; The convective heat transfer coefficient of the gas in the fermentation tank; The convective heat transfer coefficient between the fermentation tank body and the liquid; , The thermal conductivity of the insulation material in the fermentation tank body; , These are the fermentation tank body and the thickness of the insulation layer; express The heat generated by solar radiation at all times; , These represent the absorption rates at the tank top and tank wall, respectively. This represents the effective heat that causes the temperature change during fermentation. This represents the heat supplied by the rural integrated energy system, i.e., the heat load corresponding to constant-temperature fermentation in the fermentation tank. This indicates the specific heat capacity of the material in the fermentation tank; This indicates the total mass of materials in the fermentation tank.

[0009] Furthermore, the electrical load model for the agricultural greenhouse is as follows: In the formula, express t The photon flux density that needs to be replenished during a given period; This represents the photon flux density of sunlight entering the greenhouse; This represents the photon flux density corresponding to the light saturation point of a plant. The coefficient representing the conversion of photosynthetically active irradiance to photosynthetically active photon flux density; Indicates the effective emissivity; Indicates the light transmittance of the greenhouse film; Indicates solar radiation intensity; Represents the constant coefficients describing the relationship between temperature and light saturation point; Indicates the temperature inside the greenhouse; This indicates the electrical load required for the greenhouse; This indicates the photon flux density of the supplemental lighting; This indicates the luminous efficacy of agricultural sodium lamps; The conversion factor between the effective irradiance and effective photon flux density of a sodium lamp; Indicates the work equivalent of light; This indicates the area under cultivation for crops.

[0010] Furthermore, the agricultural greenhouse heat load model includes: Solar radiation model inside a greenhouse: In the formula, express t The greenhouse absorbs solar radiation heat at all times; Indicates the light transmittance of the thin film; Indicates the area of ​​the greenhouse; This indicates that solar radiation absorbs heat; The angle of incidence of sunlight indicates the transmittance of the thin film at 0°. , , , , Indicates the angle of incidence of sunlight, altitude angle, azimuth angle, declination angle, and hour angle; , These represent the greenhouse roof angle and azimuth angle, respectively. , These represent the longitude and latitude of the observation point, respectively; and indicate that the observation day is the [number]th day of the year. sky; Greenhouse crop heat balance model: In the formula, , express t Time period and t- Crop temperature during period 1; Indicates a time interval; , , These represent the amount of solar radiation absorbed by crops, the heat lost through transpiration, and the heat exchanged with the air inside the greenhouse, respectively. and These represent the specific heat capacity and mass of the crop, respectively. and These represent photosynthetically active radiation and near-infrared radiation, respectively. Indicates the blade area; This indicates the convective heat transfer coefficient between crops and indoor air; , These are represented as crop transpiration coefficient and leaf surface index, respectively. Soil heat balance equation for the root zone of greenhouse crops: In the formula, , They represent t Time period and t -1 time period: soil temperature in the root zone of crops; Indicates a time interval; Indicates the temperature of deep soil layers; , , These represent the amount of solar radiation absorbed by the root zone soil, the convective heat exchange with the air inside the greenhouse, and the convective heat exchange with the deep, constant-temperature soil, respectively. and These represent the specific heat capacity and mass of the soil in the root zone, respectively. This represents the absorption coefficient of solar radiation by the root zone soil. , These represent the convective heat transfer coefficients between the root zone soil and indoor air, and between the root zone soil and deep soil, respectively. Greenhouse air heat balance model: In the formula, , This represents the amount of heat and coefficient of solar radiation absorbed by the greenhouse structure and transferred to the indoor air. , These represent the convective heat exchange between the air inside and outside the greenhouse, and the heat exchange with the radiators inside the greenhouse, respectively. and These represent the specific heat capacity and mass of the air inside the greenhouse, respectively. This indicates the total area of ​​the greenhouse covering film; This indicates the heat transfer coefficient of air between the inside and outside of the greenhouse through the covering film.

[0011] Furthermore, the greenhouse carbon dioxide load model is as follows: In the formula, Indicates the CO2 saturation point; Indicates light intensity; This indicates the mass of CO2 that needs to be replenished. Indicates the volume of the greenhouse; Indicates the gas pressure inside the greenhouse; Indicates the molar mass of CO2; This represents the molecular constant of CO2 gas.

[0012] Furthermore, the carbon emission analysis model for the rural integrated energy system is as follows: ( In the formula, , These represent the total carbon emissions under natural conditions and those of a rural integrated energy system, respectively; subscript Indicates the types of agricultural products. This refers to wheat planted in winter. This refers to corn planted in the summer; Indicates the area under cultivation for crops; A conversion factor indicating the conversion of agricultural products from wet weight to dry weight; These represent the yield per unit area of ​​agricultural products; This indicates the carbon content per unit mass; This indicates the conversion factor for straw from wet weight to dry weight. Indicates the wet weight of the straw; This indicates the carbon content per unit dry weight of straw; and These represent carbon emissions under natural conditions and from integrated rural energy systems, respectively. , These respectively indicate the quality of agricultural products and straw produced within the park; Indicates the carbon emission coefficient of diesel fuel; Indicates the lower heating value of diesel fuel; indicates the unit energy consumption for baling straw; , , , These represent the unit energy consumption for planting, collecting, baling, and loading agricultural products or straw, respectively. , These represent carbon emissions from residents' daily lives under natural conditions and rural integrated energy systems, respectively. Indicates the power purchased; Indicates the carbon emission factor of electricity purchase; Indicates the amount of natural gas purchased; Indicates the calorific value of natural gas; This indicates the carbon content per unit calorific value of natural gas. Indicates the carbon oxidation rate; This indicates the amount of natural gas produced by the biogas project; This indicates the global warming potential of natural gas. This represents carbon emissions from transportation under natural conditions. This indicates the carbon emissions from transportation within the rural integrated energy system; Indicates the carbon emission factor of transportation; This indicates the average transportation distance for agricultural products, straw, organic fertilizer, feed, etc. Indicates the maximum transport weight for a single shipment; This indicates the amount of feed required within one year; Indicates the first The number of livestock; Indicates the first j The amount of feed consumed by livestock per day; This indicates the amount of organic fertilizer produced within one year; This indicates the carbon content per unit mass of organic fertilizer; Indicates the solid residue rate after anaerobic fermentation; This indicates the moisture content of the organic fertilizer; Indicates the first The quality of livestock manure; Indicates the daily dry weight of organic waste; This indicates carbon emissions from intestinal fermentation in livestock farming. This indicates the GWP value of CH4; Indicates the first Carbon emission factors of natural gas during intestinal fermentation in livestock; , These represent annual soil carbon emissions under natural conditions and those from integrated rural energy systems, respectively. This represents the global warming potential value of N2O; , , These represent the CH4, N2O, and CO2 emission factors of each type of biological waste. , , These represent the emission factors of organic waste from residential use; This indicates the amount of N2O produced per unit soil area due to the decomposition of nitrogen fertilizer; Indicates the carbon emissions of biogas projects; Indicates carbon dioxide density; Indicates natural gas production volume; This indicates the amount of CO2 absorbed by greenhouse crops; , , , These represent the number of days in each of the four seasons: spring, summer, autumn, and winter. , , , These represent the greenhouse carbon load on typical days in spring, summer, autumn, and winter, respectively.

[0013] The carbon emission analysis device for rural integrated energy systems performs the above-mentioned methods, including: Carbon reduction model construction module: Establish a carbon reduction model for rural integrated energy system, which includes the construction of biogas projects to produce natural gas through microbial anaerobic fermentation, and the construction of agricultural greenhouses to absorb the carbon dioxide filtered out during the natural gas purification process from the biogas projects; Biogas Engineering Analysis Module: Based on the carbon reduction model of rural integrated energy systems, establish carbon emission and heat load models for rural biogas projects; Agricultural greenhouse analysis module: Based on the carbon reduction model of rural integrated energy system, establish an electricity, heat and carbon dioxide load model for agricultural greenhouses; The integrated carbon emission accounting module constructs a carbon emission analysis model for the rural integrated energy system based on the carbon emission and heat load models of rural biogas projects and the electricity, heat, and carbon dioxide load models of agricultural greenhouses. It calculates carbon dioxide fixation by plant photosynthesis, carbon emissions from agricultural planting activities, carbon emissions from residential energy consumption, carbon emissions from agricultural transportation, carbon emissions from livestock intestinal fermentation, and carbon emissions from soil microbial decomposition, based on energy usage at each stage and the carbon emission factor method. It also calculates the carbon emissions from biogas projects within the rural integrated energy system based on the biogas project carbon emission and greenhouse carbon load models.

[0014] A computer storage medium storing a readable program that, when run, instructs a computing device to perform the carbon emission analysis method for a rural integrated energy system as described above.

[0015] An electronic device includes: a processor, a memory, a communication interface, and a communication bus, wherein the processor, the memory, and the communication interface communicate with each other through the communication bus; The memory is used to store at least one executable instruction, which causes the processor to perform operations corresponding to the carbon emission analysis method for the rural integrated energy system described above.

[0016] The beneficial effects of this invention are: 1. This invention constructs a rural carbon reduction model based on the perspective of biological carbon cycle; then, it establishes a biogas production and heat load model based on the anaerobic fermentation kinetics and isothermal fermentation thermodynamics analysis; next, it establishes an agricultural greenhouse electricity, heat, and carbon dioxide load model based on the photosynthetic saturation point theory and greenhouse thermodynamics analysis; finally, it adopts the life cycle assessment method to establish a quantitative assessment system covering the entire chain of carbon flow, including plant photosynthetic carbon fixation, agricultural production activities, and residents' consumption, to identify and quantify negative carbon emission potential from the perspective of systemic carbon cycle mechanism; thereby, it can guide the planning and operation of rural integrated energy systems, indicate the carbon synergy mechanism of biogas projects and agricultural greenhouses, and thus achieve rural energy conservation and emission reduction.

[0017] 2. This invention integrates a sensor array to collect environmental data such as temperature, light intensity, and carbon dioxide concentration in real time, and combines this data with carbon emission factors to calculate carbon emissions from agricultural production, animal husbandry, residential life, and transportation in rural areas. Based on this data, the model can intelligently adjust energy consumption, including automatically controlling the start and stop of electric heating boilers to ensure greenhouse temperatures are maintained within the optimal range and reduce unnecessary energy consumption. Simultaneously, the switching of supplemental lighting is adjusted according to real-time light requirements to avoid energy waste caused by excessive lighting. Furthermore, the carbon dioxide injection valve can also be controlled according to photosynthetic needs, reducing carbon emissions.

[0018] 3. This invention provides scientific data support by quantitatively calculating carbon emissions at each stage in rural areas, thus aiding in the formulation of low-carbon development policies. The carbon emissions and emission reduction potential calculated by the model provide policymakers with a basis for decision-making, enabling better guidance for the green transformation and low-carbon development of rural integrated energy systems. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0020] Figure 1 This is a flowchart of the carbon emission analysis method for rural integrated energy systems of the present invention; Figure 2 This is a diagram of the carbon dioxide circulation flow in the rural integrated energy system according to an embodiment of the present invention; Figure 3 This is a framework diagram of a rural integrated energy system in an embodiment of the present invention; Figure 4 Carbon emission analysis for each stage in the embodiments of the present invention; Figure 5 This is a comparative analysis of carbon emissions under natural conditions and rural integrated energy system scenarios in the embodiments of the present invention. Detailed Implementation

[0021] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0022] Example 1 In this embodiment, the carbon dioxide cycle of the rural integrated energy system is as follows: Figure 2 As shown, on the one hand, carbon emissions from external energy purchases are reduced by constructing wind and solar power plants; on the other hand, biogas projects are built, using straw, animal manure, and household organic waste as raw materials for anaerobic fermentation to produce natural gas. This reduces both external energy purchases and emissions of strong greenhouse gases such as CH4 and N2O during the natural decomposition of organic waste and fertilizers. Furthermore, CO2 filtered out during the biogas-to-natural-gas purification process is fixed into crops in agricultural greenhouses through photosynthesis, further reducing carbon emissions. The framework of the rural integrated energy system is as follows: Figure 3As shown, the system includes: a combined heat and power (CHP) unit, an electric boiler, a gas-fired boiler, an electric hydrogen generator, and fuel cells, as well as hydrogen storage based on salt caverns, natural gas storage, and compressed carbon dioxide storage. The CHP unit consumes natural gas to produce electricity and heat; the electric boiler consumes electricity to produce heat; the gas-fired boiler consumes natural gas to produce heat; the electric hydrogen generator consumes electricity to produce hydrogen; the fuel cell consumes hydrogen to produce electricity; and the hydrogen storage based on salt caverns, natural gas storage, and compressed carbon dioxide storage are used to store hydrogen, natural gas, and carbon dioxide, respectively. In terms of agricultural production, the planting area is 4 million square meters. Wheat is planted in winter and corn in summer. Winter wheat is sown in October and harvested in June, while summer corn is sown in June and harvested in October. Relevant parameters are shown in Table 1. The livestock raised in the park includes 500 cattle and 3,000 pigs. Relevant parameters are shown in Table 2. Other carbon emission data are shown in Table 3, which represents the constant coefficients describing the greenhouse temperature and light saturation point.

[0023] Table 1. Parameters related to crop carbon emissions Table 2 Livestock Carbon Emission Parameters Table 1 Other carbon emission parameters Table 4. Coefficients of the functional relationship between light saturation point and temperature for greenhouse crops Example 2 Based on the aforementioned rural integrated energy system, this embodiment proposes a carbon emission analysis method for a rural integrated energy system that considers biogas projects and agricultural greenhouses, such as... Figure 1 As shown, it includes the following steps: S1, Establishing a carbon reduction model for rural integrated energy systems; The process of establishing a carbon reduction model for rural integrated energy systems includes steps S11~S13: Step S11: Construct wind power and photovoltaic power generation facilities to reduce carbon emissions during the energy purchase process; Step S12: Construct a biogas project to produce natural gas; Step S13: Construct an agricultural greenhouse to absorb the CO2 filtered out during the natural gas purification process from biogas.

[0024] S2, based on the carbon reduction model of rural integrated energy system, establish a carbon emission and heat load model for rural biogas project; The carbon dioxide production of the biogas project is dynamically calculated based on the microbial growth rate in the anaerobic fermentation kinetics, and the heat load of the biogas project is calculated based on the isothermal fermentation set temperature and the heat transfer equation of the multi-layer maintenance structure. Specifically, the modeling process for the carbon emissions and heat load model of biogas projects includes steps S21 to S22; Step S21, build a carbon emission model for biogas projects: (1) (2) (3) (4) (5) In the formula, Indicates the natural gas production rate. , These represent the biogas production potential and volatile solids concentration, respectively. HRT Indicates the hydraulic residence period; Indicates the growth rate of microorganisms; Indicates the biogas fermentation kinetic parameters; Indicates the biogas fermentation temperature; Indicates the volume of the raw material; , These represent the volume fractions of natural gas and carbon dioxide, respectively. , These represent natural gas and carbon dioxide production, respectively. Step S22, build a biogas project heat load model: (6) (7) (8) (9) (10) (11) (12) In the formula, It is the heat load during feeding; It is the specific heat capacity of the raw material; yes Feed rate at any given time; It is the temperature of the raw materials; This indicates the amount of heat dissipated from the fermentation tank. This represents the overall heat transfer coefficient of the fermentation tank; This indicates the total area of ​​the fermentation tank; This indicates the set temperature for anaerobic fermentation; Indicates the outdoor temperature; , These are the heat transfer coefficient and area of ​​the building envelope, respectively; Indicates the total thermal resistance; The convective heat transfer coefficient of the gas in the fermentation tank; The convective heat transfer coefficient between the fermentation tank body and the liquid; , The thermal conductivity of the insulation material in the fermentation tank body; , These are the fermentation tank body and the thickness of the insulation layer; express The heat generated by solar radiation at all times; , These represent the absorption rates at the tank top and tank wall, respectively. This represents the effective heat that causes the temperature change during fermentation. This represents the heat supplied by the rural integrated energy system, i.e., the heat load corresponding to constant-temperature fermentation in the fermentation tank. This indicates the specific heat capacity of the material in the fermentation tank; This indicates the total mass of materials in the fermentation tank.

[0025] S3, based on the carbon reduction model of rural integrated energy system, establishes an electricity, heat and carbon dioxide load model for agricultural greenhouses; Among them, the plant light saturation point is calculated using a polynomial that includes temperature variables to determine the supplemental photoelectric load, the greenhouse heat load is calculated based on the spatial multi-media heat balance equation, and the carbon dioxide saturation point is determined based on the coupled polynomial of ambient temperature and light intensity to calculate the greenhouse carbon dioxide load. Specifically, the process of establishing an agricultural greenhouse electricity, heat, and carbon dioxide load model includes steps S31 to S33; Step S31, build a greenhouse electrical load model: (13) (14) (15) (16) In the formula, express t The photon flux density that needs to be replenished during a given period; This represents the photon flux density of sunlight entering the greenhouse; This represents the photon flux density corresponding to the light saturation point of a plant. The coefficient representing the conversion of photosynthetically active irradiance to photosynthetically active photon flux density; Indicates the effective emissivity; Indicates the light transmittance of the greenhouse film; Indicates solar radiation intensity; Represents the constant coefficients describing the relationship between temperature and light saturation point; Indicates the temperature inside the greenhouse; This indicates the electrical load required for the greenhouse; This indicates the photon flux density of the supplemental lighting; This indicates the luminous efficacy of agricultural sodium lamps; The conversion factor between the effective irradiance and effective photon flux density of a sodium lamp; Indicates the work equivalent of light; Indicates the area under cultivation for crops; Step S32, build a greenhouse heat load model: Step S32 includes the following steps: Step S321, construct a solar radiation model inside the greenhouse: (17) (18) (19) (20) (twenty one) (twenty two) (twenty three) In the formula, express t The greenhouse absorbs solar radiation heat at all times; Indicates the light transmittance of the thin film; Indicates the area of ​​the greenhouse; This indicates that solar radiation absorbs heat; The angle of incidence of sunlight indicates the transmittance of the thin film at 0°. , , , , Indicates the angle of incidence of sunlight, altitude angle, azimuth angle, declination angle, and hour angle; , These represent the greenhouse roof angle and azimuth angle, respectively. , These represent the longitude and latitude of the observation point, respectively; and indicate that the observation day is the [number]th day of the year. sky; Step S322, construct a greenhouse crop heat balance model: (twenty four) (25) (26) (27) In the formula, Indicates crop temperature; , , These represent the amount of solar radiation absorbed by crops, the heat lost through transpiration, and the heat exchanged with the air inside the greenhouse, respectively. and These represent the specific heat capacity and mass of the crop, respectively. and These represent photosynthetically active radiation and near-infrared radiation, respectively. Indicates the blade area; This indicates the convective heat transfer coefficient between crops and indoor air; , These are represented as crop transpiration coefficient and leaf surface index, respectively. Step S323, establish the soil heat balance equation for the root zone of greenhouse crops: (28) (29) In the formula, Indicates the soil temperature in the root zone of crops; Indicates the temperature of deep soil layers; , , These represent the amount of solar radiation absorbed by the root zone soil, the convective heat exchange with the air inside the greenhouse, and the convective heat exchange with the deep, constant-temperature soil, respectively. and These represent the specific heat capacity and mass of the soil in the root zone, respectively. This represents the absorption coefficient of solar radiation by the root zone soil. , These represent the convective heat transfer coefficients between the root zone soil and indoor air, and between the root zone soil and deep soil, respectively. Step S324: Construct a thermal balance model of the air inside the greenhouse: (30) (31) In the formula, , This represents the amount of heat and coefficient of solar radiation absorbed by the greenhouse structure and transferred to the indoor air. , These represent the convective heat exchange between the air inside and outside the greenhouse, and the heat exchange with the radiators inside the greenhouse, respectively. and These represent the specific heat capacity and mass of the air inside the greenhouse, respectively. This indicates the total area of ​​the greenhouse covering film; This indicates the heat transfer coefficient of the air inside and outside the greenhouse through the covering film; Step S33, build a greenhouse carbon dioxide load model: (32) (33) In the formula, This represents the CO2 saturation point, in units of... ; T Indicates temperature; Indicates light intensity; This indicates the mass of CO2 that needs to be replenished. Indicates the volume of the greenhouse; Indicates the gas pressure inside the greenhouse; Indicates the molar mass of CO2; This represents the molecular constant of CO2 gas.

[0026] S4, based on the carbon emission and heat load model of rural biogas projects and the electricity, heat and carbon dioxide load model of agricultural greenhouses, constructs a carbon emission analysis model for rural integrated energy systems. According to the energy use of each link and the carbon emission factor method, it calculates carbon dioxide fixation by plant photosynthesis, carbon emissions from energy use in agricultural planting activities, carbon emissions from energy use in residential life, carbon emissions from energy use in agricultural transportation, carbon emissions from animal gut fermentation in animal husbandry, and carbon emissions from soil microbial decomposition. Based on the carbon emission and greenhouse carbon load models of biogas projects in S2 and S3, it calculates the carbon emissions of biogas projects in rural integrated energy systems.

[0027] In addition to calculating carbon emissions from energy purchases and residential life, the carbon emission analysis model also quantifies carbon emissions from livestock gut fermentation and soil microbial decomposition. The total carbon emissions of the village are obtained by combining the data from the above models.

[0028] Specifically, the process of constructing a carbon emission analysis model for a rural integrated energy system includes steps S41 to S48: Step S41, construct a model of carbon dioxide fixation through crop photosynthesis: (34) In the formula, the subscript Indicates the types of agricultural products. This refers to wheat planted in winter. This refers to corn planted in the summer; Indicates the area under cultivation for crops; A conversion factor indicating the conversion of agricultural products from wet weight to dry weight; These represent the yield per unit area of ​​agricultural products; This indicates the carbon content per unit mass; This indicates the conversion factor for straw from wet weight to dry weight. Indicates the wet weight of the straw; This indicates the carbon content per unit dry weight of straw; Step S42, build a carbon emission model for energy use in agricultural planting activities: (35) (36) (37) (38) In the formula, and These represent carbon emissions under natural conditions and from integrated rural energy systems, respectively. , These respectively indicate the quality of agricultural products and straw produced within the park; Indicates the carbon emission coefficient of diesel fuel; Indicates the lower heating value of diesel fuel; indicates the unit energy consumption for baling straw; , , , These represent the unit energy consumption for planting, collecting, baling, and loading agricultural products or straw, respectively. Step S43, build a carbon emission model for residential energy consumption: (39) (40) In the formula, , These represent carbon emissions from residents' daily lives under natural conditions and rural integrated energy systems, respectively. Indicates the power purchased; Indicates the carbon emission factor of electricity purchase; Indicates the amount of natural gas purchased; Indicates the calorific value of natural gas; This indicates the carbon content per unit calorific value of natural gas. Indicates the carbon oxidation rate; This indicates the amount of natural gas produced by the biogas project; This indicates the global warming potential of natural gas. Step S44, build a carbon emission model for energy consumption in agricultural transportation: (41) (42) (43) (44) In the formula, This represents carbon emissions from transportation under natural conditions. This indicates the carbon emissions from transportation within the rural integrated energy system; Indicates the carbon emission factor of transportation; This indicates the average transportation distance for agricultural products, straw, organic fertilizer, feed, etc. Indicates the maximum transport weight for a single shipment; This indicates the amount of feed required within one year; Indicates the first The number of livestock; Indicates the first j The amount of feed consumed by livestock per day; This indicates the amount of organic fertilizer produced within one year; This indicates the carbon content per unit mass of organic fertilizer; Indicates the solid residue rate after anaerobic fermentation; This indicates the moisture content of the organic fertilizer; Indicates the first The quality of livestock manure; Indicates the daily dry weight of organic waste; Step S45, establish a carbon emission model for livestock gut fermentation in animal husbandry: (45) In the formula, This indicates carbon emissions from intestinal fermentation in livestock farming. This indicates the GWP value of CH4; Indicates the first Carbon emission factors of natural gas during intestinal fermentation in livestock; Step S46: Build a soil microbial carbon decomposition emission model (46) (47) In the formula, , These represent annual soil carbon emissions under natural conditions and those from integrated rural energy systems, respectively. This represents the global warming potential value of N2O; , , These represent the CH4, N2O, and CO2 emission factors of each type of biological waste. , , These represent the emission factors of organic waste from residential use; This indicates the amount of N2O produced per unit soil area due to the decomposition of nitrogen fertilizer; Step S47, Build a carbon emission model for biogas projects: (48) (49) In the formula, Indicates the carbon emissions of biogas projects; Indicates carbon dioxide density; Indicates natural gas production volume; This indicates the amount of CO2 absorbed by greenhouse crops; , , , These represent the number of days in each of the four seasons: spring, summer, autumn, and winter. , , , These represent the greenhouse carbon load on typical days in spring, summer, autumn, and winter, respectively. Step S48, build a total carbon emission model for rural areas: (50) (51) In the formula, , These represent the total carbon emissions under natural conditions and under rural integrated energy systems, respectively.

[0029] Furthermore, the specific process of using the carbon emission analysis model of the rural integrated energy system for carbon emission analysis includes: collecting basic data on various aspects such as the types and yields of rural crops, energy consumption, and transportation information; calculating carbon emissions item by item based on the carbon emission factor method, including carbon dioxide fixation by plant photosynthesis, carbon emissions from energy use in agricultural planting activities, carbon emissions from energy use in residential life, carbon emissions from energy use in agricultural transportation, carbon emissions from livestock intestinal fermentation, and carbon emissions from soil microbial decomposition; calculating the carbon emissions of biogas projects within the rural integrated energy system based on biogas project carbon emissions and greenhouse carbon load; and calculating the total carbon emissions of the rural integrated energy system by integrating various carbon emission data and comparing them with the carbon emissions under natural conditions to evaluate the emission reduction effect of the rural integrated energy system.

[0030] Furthermore, this invention relies on a series of sensor arrays, including temperature sensors, light intensity sensors, and CO2 concentration sensors, for real-time monitoring of environmental data in rural agricultural production and greenhouse management. This data provides the necessary input to the model, allowing for real-time reflection of changes in crop growth, energy consumption, and carbon emissions, thereby providing data-driven analysis and decision support for energy management systems.

[0031] Based on this, the model dynamically optimizes the operation strategy of the integrated energy system by combining real-time collected environmental data with carbon emission calculation methods. By monitoring temperature changes and energy demand within the greenhouse, the model can intelligently control the start and stop of the combined heat and power (CHP) unit. Specifically, when the greenhouse temperature is below the set value, the system automatically starts the electric boiler unit to supplement heat and ensure the agricultural production environment; when the greenhouse temperature reaches the predetermined standard, the system automatically adjusts the unit load or shuts it down to save energy and reduce carbon emissions. Light intensity data is used to monitor the light requirements of crops and control the start and stop of supplemental lighting. If light is insufficient, the system automatically starts the supplemental lighting; when light is sufficient, the supplemental lighting is turned off to avoid unnecessary energy consumption. Carbon dioxide concentration data is used to detect the carbon dioxide concentration requirements of crops and control the carbon dioxide valve; if the carbon dioxide concentration is insufficient, carbon dioxide is supplemented; when the carbon dioxide concentration is sufficient, carbon dioxide is reduced.

[0032] Based on a similar inventive concept, embodiments of the present invention also provide a computer storage medium storing a readable program that, when run by a processor, can execute the aforementioned method for analyzing carbon emissions from a rural integrated energy system.

[0033] Based on a similar inventive concept, this invention provides an electronic device, including: a processor, a memory, a communication interface, and a communication bus, wherein the processor, the memory, and the communication interface communicate with each other through the communication bus; The memory is used to store at least one executable instruction, which causes the processor to perform the operation corresponding to the above-described rural integrated energy system carbon emission analysis method.

[0034] Based on a similar inventive concept, embodiments of the present invention also provide a computer program product, including computer instructions, which instruct a computing device to perform the operations corresponding to the above-described rural integrated energy system carbon emission analysis method.

[0035] Example 3 In this embodiment, the effectiveness of the method in Example 2 is verified.

[0036] Under the scenario of a rural integrated energy system, agricultural planting and other processes emit 17,429.66 tCO2eq into the atmosphere, while plant photosynthesis fixes 22,732.71 tCO2eq from the atmosphere, resulting in a net carbon reduction of 5,303.05 tCO2eq during the annual operation period. Detailed carbon emissions for each process are as follows: Figure 4 As shown, residential energy consumption, soil microbial decomposition, and biogas projects contribute 41.2%, 24.3%, and 26.0% of total emissions, respectively, making them the main sources of carbon emissions from rural integrated energy systems.

[0037] The "natural state" refers to a rural integrated energy system that does not include renewable energy generation such as wind, solar, and biomass power, as well as hydrogen storage, natural gas storage, and compressed carbon dioxide storage. In this natural state, electricity and heat are supplied through the grid, combined heat and power (CHP) units, electric boilers, and thermal boilers, and straw is disposed of by direct return to the field. A comparison of carbon emissions under the natural state and rural integrated energy system scenarios is provided. Figure 5 As shown in the figure, the carbon emission reduction effect of the rural integrated energy system mainly stems from soil microbial decomposition and the optimization of residential energy use. The carbon emission reduction from soil microbial decomposition benefits from the coordinated construction of biogas projects and smart agricultural greenhouses. Biogas projects significantly alter carbon emission pathways by converting biomass resources such as straw into carbon in CO2, CH4, and organic fertilizers (biogas slurry and biogas residue). Specifically, 5.8% of CO2 is fixed by flowers and vegetables in smart agricultural greenhouses through photosynthesis, with the remainder emitted into the atmosphere; CH4, as a clean energy source replacing traditional fossil fuels, reduces carbon emissions from energy purchases by 51.36%; carbon in organic fertilizers is converted into gases such as CO2 by soil microorganisms. Compared to the natural state, biogas projects reduce soil carbon emissions by 11% by suppressing the emission of gases with high global warming potential, such as N2O and CH4.

[0038] The carbon emission reduction in residential energy consumption is mainly attributed to the integrated application of wind, solar, and biomass energy, resulting in a 99.74% reduction in carbon emissions from energy purchases. Specifically, carbon emissions from electricity purchases decreased from 11705.92 tCO2eq to 36.86 tCO2eq, and carbon emissions from gas purchases decreased from 2441.57 tCO2eq to 0. Wind and solar energy contributed 48.64% of this reduction, while biomass energy contributed 51.36%. It is worth noting that under the rural integrated energy system scenario, the carbon emissions from residential energy consumption mainly originate from CH4, with the carbon source being CO2 fixed by plant photosynthesis. Compared to the increased fossil-source CO2 from directly purchasing electricity and gas, this does not have a net increase effect on atmospheric CO2 concentration.

[0039] The increase in carbon emissions is mainly reflected in biogas projects, agricultural planting activities, and agricultural transportation, but the increase in emissions is significantly lower than the reduction in emissions, showing a significant negative carbon effect overall.

[0040] Comprehensive analysis shows that by developing wind, solar, and biomass energy in rural areas, and combining this with biogas projects and the construction of agricultural greenhouses, the carbon reduction potential of rural areas can be effectively tapped by reducing carbon emissions from energy purchases (contributing 85.99%), suppressing high-GWP gas emissions (contributing 12.29%), and enhancing photosynthetic carbon sequestration (contributing 1.72%). These results validate the potential of the rural integrated energy system model in achieving significant negative carbon benefits and provide a scientific basis for the technological path of low-carbon development in rural areas.

[0041] Example 4 This embodiment proposes a carbon emission analysis device for a rural integrated energy system, comprising: Carbon reduction model construction module: Establish a carbon reduction model for rural integrated energy system, which includes the construction of biogas projects to produce natural gas through microbial anaerobic fermentation, and the construction of agricultural greenhouses to absorb the carbon dioxide filtered out during the natural gas purification process from the biogas projects; Biogas Engineering Analysis Module: Based on the carbon reduction model of rural integrated energy systems, establish carbon emission and heat load models for rural biogas projects; Agricultural greenhouse analysis module: Based on the carbon reduction model of rural integrated energy system, establish an electricity, heat and carbon dioxide load model for agricultural greenhouses; The integrated carbon emission accounting module: Based on the carbon emission and heat load model of rural biogas projects, and the electricity, heat, and carbon dioxide load model of agricultural greenhouses, a carbon emission analysis model of the rural integrated energy system is constructed. According to the energy use of each link and the carbon emission factor method, the carbon emission of carbon dioxide fixed by plant photosynthesis, carbon emission of energy used in agricultural planting activities, carbon emission of energy used in residential life, carbon emission of energy used in agricultural transportation, carbon emission of intestinal fermentation in animal husbandry, and carbon emission of soil microbial decomposition are calculated. The carbon emission of biogas projects in the rural integrated energy system is calculated according to the carbon emission and greenhouse carbon load model of biogas projects.

[0042] The methods of the present invention can be implemented in hardware, firmware, or as software or computer code that can be stored in a recording medium (such as a CD-ROM, RAM, floppy disk, hard disk, or magneto-optical disk), or as computer code originally stored on a remote recording medium or a non-transitory machine-readable medium and subsequently stored on a local recording medium, downloaded via a network. Thus, the methods described herein can be processed by software stored on a recording medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware (such as an ASIC or FPGA). It is understood that the computer, processor, microprocessor controller, or programmable hardware includes storage components (e.g., RAM, ROM, flash memory, etc.) capable of storing or receiving software or computer code that, when accessed and executed by the computer, processor, or hardware, implements the methods described herein. Furthermore, when a general-purpose computer accesses the code used to implement the methods shown herein, the execution of the code transforms the general-purpose computer into a dedicated computer for performing the methods shown herein.

[0043] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claimed invention.

Claims

1. A method for analyzing carbon emissions from rural integrated energy systems, characterized in that, Includes the following steps: Establish a carbon reduction model for rural integrated energy systems, which includes constructing biogas projects to produce natural gas through microbial anaerobic fermentation and constructing agricultural greenhouses to absorb the carbon dioxide filtered out during the natural gas purification process from the biogas projects; Based on the carbon reduction model of rural integrated energy system, establish a carbon emission and heat load model for rural biogas project; Based on the carbon reduction model of rural integrated energy system, establish an electricity, heat and carbon dioxide load model for agricultural greenhouses; Based on the carbon emission and heat load models of rural biogas projects, as well as the electricity, heat, and carbon dioxide load models of agricultural greenhouses, a carbon emission analysis model for rural integrated energy systems is constructed. The carbon emissions are calculated according to the energy usage of each stage and the carbon emission factor method, specifically: carbon dioxide fixation by plant photosynthesis, carbon emissions from energy used in agricultural planting activities, carbon emissions from energy used in residential life, carbon emissions from energy used in agricultural transportation, carbon emissions from livestock intestinal fermentation, and carbon emissions from soil microbial decomposition. The carbon emissions within the rural integrated energy system are also calculated based on the carbon emission models of biogas projects and greenhouse carbon load models.

2. The carbon emission analysis method for rural integrated energy systems according to claim 1, characterized in that, The carbon emission model for the biogas project is as follows: In the formula, Indicates the natural gas production rate. , These represent the biogas production potential and volatile solids concentration, respectively. HRT Indicates the hydraulic residence period; Indicates the growth rate of microorganisms; Indicates the biogas fermentation kinetic parameters; Indicates the biogas fermentation temperature; Indicates the volume of the raw material; , These represent the volume fractions of natural gas and carbon dioxide, respectively. , These represent the production of natural gas and carbon dioxide, respectively.

3. The carbon emission analysis method for rural integrated energy systems according to claim 2, characterized in that, The heat load model for the biogas project is as follows: In the formula, It is the heat load during feeding; It is the specific heat capacity of the raw material; yes Feed rate at any given time; It is the temperature of the raw materials; This indicates the amount of heat dissipated from the fermentation tank. This represents the overall heat transfer coefficient of the fermentation tank; This indicates the total area of ​​the fermentation tank; This indicates the set temperature for anaerobic fermentation; Indicates the outdoor temperature; , These are the heat transfer coefficient and area of ​​the building envelope, respectively; Indicates the total thermal resistance; The convective heat transfer coefficient of the gas in the fermentation tank; The convective heat transfer coefficient between the fermentation tank body and the liquid; , The thermal conductivity of the insulation material in the fermentation tank body; , These are the fermentation tank body and the thickness of the insulation layer; express The heat generated by solar radiation at all times; , These represent the absorption rates at the tank top and tank wall, respectively. This represents the effective heat that causes the temperature change during fermentation. This represents the heat supplied by the rural integrated energy system, i.e., the heat load corresponding to constant-temperature fermentation in the fermentation tank. This indicates the specific heat capacity of the material in the fermentation tank; This indicates the total mass of materials in the fermentation tank.

4. The carbon emission analysis method for rural integrated energy systems according to claim 1, characterized in that, The electrical load model for the agricultural greenhouse is as follows: In the formula, express t The photon flux density that needs to be replenished during a given period; This represents the photon flux density of sunlight entering the greenhouse; This represents the photon flux density corresponding to the light saturation point of a plant. The coefficient representing the conversion of photosynthetically active irradiance to photosynthetically active photon flux density; Indicates the effective emissivity; Indicates the light transmittance of the greenhouse film; Indicates solar radiation intensity; Represents the constant coefficients describing the relationship between temperature and light saturation point; Indicates the temperature inside the greenhouse; This indicates the electrical load required for the greenhouse; This indicates the photon flux density of the supplemental lighting; This indicates the luminous efficacy of agricultural sodium lamps; The conversion factor between the effective irradiance and effective photon flux density of a sodium lamp; Indicates the work equivalent of light; This indicates the area under cultivation for crops.

5. The carbon emission analysis method for rural integrated energy systems according to claim 4, characterized in that, The agricultural greenhouse heat load model includes: Solar radiation model inside a greenhouse: In the formula, express t The greenhouse absorbs solar radiation heat at all times; Indicates the light transmittance of the thin film; Indicates the area of ​​the greenhouse; This indicates that solar radiation absorbs heat; The angle of incidence of sunlight indicates the transmittance of the thin film at 0°. , , , , Indicates the angle of incidence of sunlight, altitude angle, azimuth angle, declination angle, and hour angle; , These represent the greenhouse roof angle and azimuth angle, respectively. , These represent the longitude and latitude of the observation point, respectively; and indicate that the observation day is the [number]th day of the year. sky; Greenhouse crop heat balance model: In the formula, , express t Time period and t- Crop temperature during period 1; Indicates a time interval; , , These represent the amount of solar radiation absorbed by crops, the heat lost through transpiration, and the heat exchanged with the air inside the greenhouse, respectively. and These represent the specific heat capacity and mass of the crop, respectively. and These represent photosynthetically active radiation and near-infrared radiation, respectively. Indicates the blade area; This indicates the convective heat transfer coefficient between crops and indoor air; , These are represented as crop transpiration coefficient and leaf surface index, respectively. Soil heat balance equation for the root zone of greenhouse crops: In the formula, , They represent t Time period and t -1 time period: soil temperature in the root zone of crops; Indicates a time interval; Indicates the temperature of deep soil layers; , , These represent the amount of solar radiation absorbed by the root zone soil, the convective heat exchange with the air inside the greenhouse, and the convective heat exchange with the deep, constant-temperature soil, respectively. and These represent the specific heat capacity and mass of the soil in the root zone, respectively. This represents the absorption coefficient of solar radiation by the root zone soil. , These represent the convective heat transfer coefficients between the root zone soil and indoor air, and between the root zone soil and deep soil, respectively. Greenhouse air heat balance model: In the formula, , This represents the amount of heat and coefficient of solar radiation absorbed by the greenhouse structure and transferred to the indoor air. , These represent the convective heat exchange between the air inside and outside the greenhouse, and the heat exchange with the radiators inside the greenhouse, respectively. and These represent the specific heat capacity and mass of the air inside the greenhouse, respectively. This indicates the total area of ​​the greenhouse covering film; This indicates the heat transfer coefficient of air between the inside and outside of the greenhouse through the covering film.

6. The carbon emission analysis method for rural integrated energy systems according to claim 5, characterized in that, The greenhouse carbon dioxide load model is as follows: In the formula, Indicates the CO2 saturation point; Indicates light intensity; This indicates the mass of CO2 that needs to be replenished. Indicates the volume of the greenhouse; Indicates the gas pressure inside the greenhouse; Indicates the molar mass of CO2; This represents the molecular constant of CO2 gas.

7. The carbon emission analysis method for rural integrated energy systems according to claim 1, characterized in that, The carbon emission analysis model for the rural integrated energy system is as follows: （ In the formula, , These represent the total carbon emissions under natural conditions and those of a rural integrated energy system, respectively; subscript Indicates the types of agricultural products. This refers to wheat planted in winter. This refers to corn planted in the summer; Indicates the area under cultivation for crops; A conversion factor indicating the conversion of agricultural products from wet weight to dry weight; These represent the yield per unit area of ​​agricultural products; This indicates the carbon content per unit mass; This indicates the conversion factor for straw from wet weight to dry weight. Indicates the wet weight of the straw; This indicates the carbon content per unit dry weight of straw; and These represent carbon emissions under natural conditions and from integrated rural energy systems, respectively. , These respectively indicate the quality of agricultural products and straw produced within the park; Indicates the carbon emission coefficient of diesel fuel; Indicates the lower heating value of diesel fuel; indicates the unit energy consumption for baling straw; , , , These represent the unit energy consumption for planting, collecting, baling, and loading agricultural products or straw, respectively. , These represent carbon emissions from residents' daily lives under natural conditions and rural integrated energy systems, respectively. Indicates the power purchased; Indicates the carbon emission factor of electricity purchase; Indicates the amount of natural gas purchased; Indicates the calorific value of natural gas; This indicates the carbon content per unit calorific value of natural gas. Indicates the carbon oxidation rate; This indicates the amount of natural gas produced by the biogas project; This indicates the global warming potential of natural gas. This represents carbon emissions from transportation under natural conditions. This indicates the carbon emissions from transportation within the rural integrated energy system; Indicates the carbon emission factor of transportation; This indicates the average transportation distance for agricultural products, straw, organic fertilizer, feed, etc. Indicates the maximum transport weight for a single shipment; This indicates the amount of feed required within one year; Indicates the first The number of livestock; Indicates the first j The amount of feed consumed by livestock per day; This indicates the amount of organic fertilizer produced within one year; This indicates the carbon content per unit mass of organic fertilizer; Indicates the solid residue rate after anaerobic fermentation; This indicates the moisture content of the organic fertilizer; Indicates the first The quality of livestock manure; Indicates the daily dry weight of organic waste; This indicates carbon emissions from intestinal fermentation in livestock farming. This indicates the GWP value of CH4; Indicates the first Carbon emission factors of natural gas during intestinal fermentation in livestock; , These represent annual soil carbon emissions under natural conditions and those from integrated rural energy systems, respectively. This represents the global warming potential value of N2O; , , These represent the CH4, N2O, and CO2 emission factors of each type of biological waste. , , These represent the emission factors of organic waste from residential use; This indicates the amount of N2O produced per unit soil area due to the decomposition of nitrogen fertilizer; Indicates the carbon emissions of biogas projects; Indicates carbon dioxide density; Indicates natural gas production volume; This indicates the amount of CO2 absorbed by greenhouse crops; , , , These represent the number of days in each of the four seasons: spring, summer, autumn, and winter. , , , These represent the greenhouse carbon load on typical days in spring, summer, autumn, and winter, respectively.

8. A carbon emission analysis device for a rural integrated energy system, comprising the method described in any one of claims 1-7, characterized in that, include: Carbon reduction model construction module: Establish a carbon reduction model for rural integrated energy system, which includes the construction of biogas projects to produce natural gas through microbial anaerobic fermentation, and the construction of agricultural greenhouses to absorb the carbon dioxide filtered out during the natural gas purification process from the biogas projects; Biogas Engineering Analysis Module: Based on the carbon reduction model of rural integrated energy systems, establish carbon emission and heat load models for rural biogas projects; Agricultural greenhouse analysis module: Based on the carbon reduction model of rural integrated energy system, establish an electricity, heat and carbon dioxide load model for agricultural greenhouses; The integrated carbon emission accounting module constructs a carbon emission analysis model for the rural integrated energy system based on the carbon emission and heat load models of rural biogas projects and the electricity, heat, and carbon dioxide load models of agricultural greenhouses. It calculates carbon dioxide fixation by plant photosynthesis, carbon emissions from agricultural planting activities, carbon emissions from residential energy consumption, carbon emissions from agricultural transportation, carbon emissions from livestock intestinal fermentation, and carbon emissions from soil microbial decomposition, based on energy usage at each stage and the carbon emission factor method. It also calculates the carbon emissions from biogas projects within the rural integrated energy system based on the biogas project carbon emission and greenhouse carbon load models.

9. A computer storage medium storing a readable program, characterized in that, When the program is running, it can instruct the computing device to perform the carbon emission analysis method for rural integrated energy systems as described in any one of claims 1-7.

10. An electronic device, characterized in that, include: The processor, memory, communication interface, and communication bus are provided, wherein the processor, memory, and communication interface communicate with each other via the communication bus. The memory is used to store at least one executable instruction, which causes the processor to perform the operation corresponding to the rural integrated energy system carbon emission analysis method as described in any one of claims 1-7.

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