Method and system for co-production of power and carbon capture by synergistic operation of multiple power plants

Abstract

The application discloses a kind of electric carbon synergic multi-element power generation capture production combined operation method and system, it is related to electric power system technical field, method includes: obtaining agricultural production basic data and current season information, based on agricultural production basic data construction combined operation optimization model, combined operation optimization model maximizes agricultural production efficiency as objective function;Based on current season information determines the current calorific value of biomass raw material, establishes biomass power generation operation constraint according to the current calorific value of biomass raw material;With biomass power generation operation constraint, power supply and demand balance constraint, multi-element power generation operation constraint, carbon capture operation constraint, fuel preparation constraint and agricultural production operation constraint as constraint condition, the model is solved, obtains the optimal operation parameter of multi-element power generation unit, carbon capture unit and agricultural production unit;Based on optimal operation parameter, control multi-element power generation unit, carbon capture unit and agricultural production unit synergic operation.The application improves agricultural production efficiency.

Description

Technical Field

[0001] This application relates to the field of power system technology, specifically to a method and system for the joint operation of multi-electrode power generation, capture and production with synergistic electricity and carbon emissions. Background Technology

[0002] While the current power system exhibits a development pattern of diversified power generation forms such as thermal power, biomass, and photovoltaics, these various power generation units differ significantly in terms of output characteristics, regulation capabilities, and carbon emission levels. Existing power-carbon coupling schemes often only bind a single power generation form, failing to establish a coordinated dispatch mechanism between diversified power generation and carbon capture and utilization, thus failing to fully leverage the complementary and mutually supportive role of multiple power sources in the stable operation of the capture system. Simultaneously, agricultural production processes generate a large amount of biomass byproducts with potential for energy utilization, and facility agriculture also has a real need for increased carbon fertilizer application and environmental control. However, the biomass output and carbon demand of agricultural production are disconnected from the operational status of the power generation and carbon capture sides, failing to establish an integrated coordinated control mechanism that is guided by agricultural production efficiency and coordinates power generation and carbon capture operations. Furthermore, existing schemes, when constructing coordinated operation strategies for power generation and carbon capture, often fail to consider the objective law of seasonal variations in the calorific value of biomass raw materials, nor do they incorporate the environmental control needs of agricultural production into the optimized operation framework, resulting in the insufficient exploitation of the regulation potential of each link in power generation, capture, and agricultural production. Therefore, there is an urgent need for a multi-functional power generation-carbon capture-agricultural production joint operation scheme with the optimization goal of agricultural production efficiency, which integrates each link into a unified scheduling framework for coordinated operation. Summary of the Invention

[0003] This application provides a method and system for the combined operation of multiple power generation, capture and production, which can solve the problem of low agricultural production efficiency in the prior art.

[0004] In a first aspect, embodiments of this application provide a method for the joint operation of multiple power generation, capture, and production systems that integrate electricity and carbon sequestration, the method comprising: Acquire basic agricultural production data and current seasonal information, and construct a joint operation optimization model based on the basic agricultural production data. The joint operation optimization model takes maximizing agricultural production efficiency as its objective function. The current calorific value of the biomass feedstock is determined based on the current seasonal information, and biomass power generation operation constraints are established based on the current calorific value of the biomass feedstock. Using constraints such as biomass power generation operation, power supply and demand balance, diversified power generation operation, carbon capture operation, fuel preparation, and agricultural production operation as conditions, the joint operation optimization model is solved to obtain the optimal operating parameters of the diversified power generation unit, carbon capture unit, and agricultural production unit. Based on optimal operating parameters, the coordinated operation of multiple power generation units, carbon capture units, and agricultural production units is controlled.

[0005] In conjunction with the first aspect, in one implementation method: The basic agricultural production data includes: the average selling price of agricultural products in each season and time period, the proportion of by-products in agricultural products, the net dry matter increase of crops in each season, the number of days in each season, and the basic load data for each season. The multi-element power generation unit includes: a thermal power generation unit, a photovoltaic power generation unit, a biomass power generation unit, and a methanol combustion power generation unit; The carbon capture unit includes a direct air capture unit and a flue gas carbon capture unit.

[0006] In conjunction with the first aspect, in one implementation method, the objective function is constructed as follows: Based on the average selling price of agricultural products in different seasons and time periods, the proportion of by-products in agricultural products, and the net dry matter increase of crops in different seasons, agricultural production income is calculated as follows:

[0007] in, Indicates agricultural production income. Indicates season Time period Coal consumption of internal thermal power generation units. This indicates the proportion of by-products in agricultural products. Indicates season The number of consecutive days, Indicates season Average selling price of agricultural products; The calculation of power generation cost is as follows:

[0008] in, Indicates the cost of electricity generation. Indicates season Time period The output power of the internal thermal power generation unit, This represents the average fuel consumption per unit of electricity generated by a thermal power generation unit. Indicates season The unit price of coal, Indicates season Time period Other basic loads on the internal electrical side, Indicates season Time period Electricity price for internal base load, Indicates a unit of time; The carbon emission cost is calculated as follows:

[0009] in, Indicates carbon emission costs, This represents the average amount of flue gas emitted per unit of electricity generated. Indicates season Time period The amount of carbon dioxide absorbed by the internal flue gas carbon capture unit. Indicates season Time period The amount of carbon dioxide absorbed by the internal direct air capture unit. This represents the unit cost of treating carbon dioxide emissions. The basic cost of agricultural production is calculated as follows:

[0010] in, Indicates the basic cost of agricultural production. Indicates the volume of the agricultural greenhouse. This represents the basic operating cost per unit volume of an agricultural greenhouse. An objective function is constructed based on agricultural production revenue, power generation costs, carbon emission costs, and basic agricultural production costs. The objective function is specifically expressed as follows:

[0011] in, Indicates the entire scheduling cycle Net income from agricultural production within the region Indicates time period Domestic agricultural production income, Indicates time period Internal power generation cost Indicates time period Internal carbon emission costs Indicates time period Domestic agricultural production basic costs.

[0012] In conjunction with the first aspect, in one implementation method: The operational constraints of the biomass power generation unit include: biomass power generation output power constraints and biomass feedstock balance constraints; The multi-generation power generation operation constraints include: thermal power generation unit operation constraints, photovoltaic power generation unit output constraints, and methanol combustion power generation unit operation constraints. The thermal power generation unit operation constraints include start-stop operation constraints, start-up and shutdown frequency constraints, thermal power output power constraints, and ramp-up constraints. The methanol combustion power generation unit operation constraints include methanol combustion power output power constraints and methanol balance constraints. The carbon capture operation constraints include: operation constraints of the flue gas carbon capture unit, operation constraints of the direct air carbon capture system, carbon dioxide balance constraints, and carbon dioxide release constraints; The constraints on agricultural production operations include: agricultural greenhouse thermal balance constraints, temperature control system operation constraints, greenhouse temperature constraints, greenhouse carbon dioxide balance constraints, and crop yield constraints.

[0013] In conjunction with the first aspect, in one implementation, determining the current calorific value of the biomass feedstock based on the current seasonal information, and establishing biomass power generation operation constraints based on the current calorific value of the biomass feedstock, includes: Based on the moisture content data of biomass raw materials in different seasons, biomass raw materials are divided into three calorific value grades: high moisture content, medium moisture content, and low moisture content, and the unit calorific value corresponding to each calorific value grade is determined. The proportion of biomass feedstocks of each calorific value grade is determined based on the current season in order to determine the current calorific value of the biomass feedstocks. Establish biomass power generation operation constraints based on the current calorific value of biomass feedstock; The specific operational constraints of the biomass power generation unit are as follows:

[0014]

[0015] in, Indicates season Time period Output power of the endogenous biomass power generation unit Indicates season Time period The total calorific value of the biomass feedstock consumed by the endogenous biomass power generation unit. This indicates the conversion efficiency of the biomass power generation unit. This indicates the maximum output power of the biomass power generation unit; The specific biomass feedstock balance constraint is as follows:

[0016]

[0017] in, Indicates season Time period Consumption of endogenous raw materials This indicates the unit calorific value of high-moisture biomass feedstock. Indicates season The proportion of high-water-content biomass feedstock This indicates the unit calorific value of water-containing biomass feedstock. Indicates season The proportion of water-bearing biomass raw materials, This indicates the unit calorific value of low-moisture biomass feedstock. Indicates season The proportion of low-water-content biomass raw materials Indicates season The number of consecutive days, Indicates season Time period Net dry matter increase of crops in agricultural greenhouses. This indicates the proportion of by-products in agricultural products.

[0018] In conjunction with the first aspect, in one implementation method: The specific start / stop operation constraints are as follows:

[0019] in, Indicates season Time period The start-up operation variable for the internal thermal power generation unit, when set to 1, indicates that a start-up operation is performed. Represents the large M constant. Indicates season Time period The operating status variable of the internal thermal power generation unit is set to 1 to indicate operation and 0 to indicate shutdown. Indicates season Time period Operating state variables of the internal thermal power generation unit; The specific constraints on the number of start-ups and shutdowns are as follows:

[0020]

[0021]

[0022] in, This indicates the maximum number of times a thermal power generation unit can be started per day. Indicates season Time period The shutdown operation variable for the internal thermal power generation unit, when set to 1, indicates that a shutdown operation is performed. This indicates the maximum number of times a thermal power generation unit can be shut down per day; The specific constraints on the output power of thermal power generation are as follows:

[0023] in, This indicates the lower limit of the output of a thermal power generation unit. Indicates season Time period The output power of the internal thermal power generation unit, This indicates the installed capacity of the thermal power generation unit. This indicates the upper limit of the output of the thermal power generation unit; The specific climbing constraint is as follows:

[0024] in, Indicates season The maximum ramp rate per unit installed capacity of the thermal power generation unit. Indicates season Time period Output power of the internal thermal power generation unit; The specific output constraint of the photovoltaic power generation unit is as follows:

[0025] in, Indicates season Time period Output power of the internal photovoltaic power generation unit This indicates the maximum output of the photovoltaic power generation unit. Indicates season Time period Internal average illuminance coefficient; The specific power output constraint for methanol combustion power generation is as follows:

[0026]

[0027] in, Indicates season Time period The output power of the internal methanol combustion power generation unit, Indicates season Time period The amount of methanol consumed by the internal methanol combustion power generation unit. This represents the power generation efficiency coefficient of the methanol combustion power generation unit. This indicates the maximum output power of the methanol combustion power generation unit; The methanol balance constraint is specifically as follows:

[0028]

[0029] in, Indicates season Time period The amount of methanol prepared internally. Indicates auxiliary time variables, This indicates the last period of a typical day.

[0030] In conjunction with the first aspect, in one implementation method: The specific operational constraints of the flue gas carbon capture unit are as follows:

[0031]

[0032] in, Indicates season Time period The amount of carbon dioxide absorbed by the internal flue gas carbon capture unit. This represents the proportion of carbon dioxide captured by flue gas. This indicates the power consumed by the flue gas carbon capture unit. This represents the energy consumed by the flue gas carbon capture unit to capture one unit of carbon dioxide. The specific operational constraints of the direct air carbon capture system are as follows:

[0033]

[0034] in, Indicates season Time period The amount of carbon dioxide absorbed by the internal direct air capture unit. This indicates the amount of carbon dioxide that the direct air capture unit can absorb. Indicates season Time period The power of the internal direct air capture unit in absorbing carbon dioxide. Indicates season Time period Absorption operation status variables of the internal direct air capture unit This indicates the maximum power at which the direct air capture unit absorbs carbon dioxide; The carbon dioxide balance constraint is specifically as follows:

[0035] in, Indicates season Time period The amount of carbon dioxide released into agricultural greenhouses by the internal direct air carbon capture system. Indicates season Time period Carbon dioxide consumed in the internal preparation of methanol; The carbon dioxide emission constraints are specifically as follows:

[0036]

[0037] in, Indicates season Time period The power of inward-facing agricultural greenhouses to release carbon dioxide. Indicates season Time period Release of operating status variables of the internal direct air capture unit This indicates the maximum power at which carbon dioxide is released into agricultural greenhouses. This indicates the amount of carbon dioxide that the direct air capture unit can release.

[0038] In conjunction with the first aspect, in one implementation method: The specific thermal balance constraint for the agricultural greenhouse is as follows:

[0039] in, For the volume of the agricultural greenhouse, air density, This indicates the specific heat capacity of air. Indicates season Time period The temperature inside the agricultural greenhouse, Indicates season Time period The temperature inside the agricultural greenhouse, This indicates the heat conduction area of ​​the agricultural greenhouse. Indicates season Time period Internal and external temperatures Indicates season Time period The heat production of crops inside agricultural greenhouses. Indicates season Time period Heating capacity of the temperature control system in the indoor agricultural greenhouse; Indicates season Time period The cooling capacity of the temperature control system in the indoor agricultural greenhouse; The specific operational constraints of the temperature control system are as follows:

[0040]

[0041]

[0042]

[0043]

[0044] in, This represents the coefficient of performance (COP) of the temperature control system. This represents the coefficient of performance (COP) of the temperature control system. Indicates season Time period The heating capacity of the temperature control system in the indoor agricultural greenhouse. Indicates season Time period The cooling capacity of the temperature control system in the indoor agricultural greenhouse. Indicates season Time period The heating operation status variables of the temperature control system in the indoor agricultural greenhouse. Indicates season Time period The refrigeration operation status variables of the temperature control system in the indoor agricultural greenhouse. This indicates the maximum operating power of the temperature control system; The greenhouse temperature constraint specifically refers to:

[0045] in, Indicates season The lower limit of temperature inside agricultural greenhouses. Indicates season The upper limit of temperature inside agricultural greenhouses; The specific carbon dioxide balance constraint for the greenhouse is as follows:

[0046]

[0047] in, Indicates season Time period Carbon dioxide concentration inside agricultural greenhouses. Indicates season Time period Carbon dioxide concentration inside agricultural greenhouses. Indicates season Time period The amount of carbon dioxide consumed by crops through photosynthesis inside agricultural greenhouses. Indicates season Time period The amount of carbon dioxide released by crops during respiration inside agricultural greenhouses. Indicates season Time period The lower limit of carbon dioxide concentration inside agricultural greenhouses. They represent the seasons. Time period The upper limit of carbon dioxide concentration inside agricultural greenhouses; The specific crop yield constraints are as follows:

[0048]

[0049]

[0050]

[0051]

[0052]

[0053] in, Indicates season Time period Net dry matter increase of crops in agricultural greenhouses. Indicates season Time period The increase in dry matter from photosynthesis in crops within agricultural greenhouses. Indicates season Time period Dry matter consumption due to respiration of crops inside agricultural greenhouses. This represents the temperature decay coefficient of photosynthesis. Indicates temperature difference segments Temperature deviation value, This represents the carbon dioxide production increase coefficient of photosynthesis. This represents the baseline dry matter increment from photosynthesis. Indicates the baseline carbon dioxide concentration. This represents the coefficient indicating the effect of temperature on respiration. This represents the coefficient indicating the effect of carbon dioxide on respiration. The baseline dry matter consumption representing respiration. Indicates the reference temperature. Indicates season Time period The difference between the temperature inside an agricultural greenhouse and the optimal temperature. This indicates the optimal temperature for photosynthesis. Indicates temperature difference segments The lower limit temperature, Indicates temperature difference segments The lower limit temperature, This indicates the last temperature difference segment. Represents a special ordered set constraint; The specific constraints on fuel preparation are as follows:

[0054]

[0055]

[0056] in, Indicates season Time period The power consumed in the production of methanol internally. Indicates season Time period The amount of methanol prepared internally. This indicates the amount of electricity consumed to produce one unit of methanol. This indicates the maximum power required to produce methanol. Indicates the conversion coefficient for the production of methanol from carbon dioxide; The specific constraints on the balance between power supply and demand are as follows:

[0057] in, Indicates season Time period The output power of the internal methanol combustion power generation unit, Indicates season Time period Other basic loads on the internal electrical side.

[0058] In conjunction with the first aspect, in one implementation method: Based on seasonal and time-period characteristics, the temperature characteristics, light intensity characteristics, and base load characteristics of each season are input. The objective function is solved under the constraints of power supply and demand balance, multi-generation operation, carbon capture operation, fuel preparation, and agricultural production operation to obtain the optimal output scheme of the multi-generation unit, the optimal operation scheme of the carbon capture unit, and the optimal control scheme of the agricultural production unit. According to the optimal output scheme, the start-stop status and output of each power generation unit in the multi-generation power generation unit are controlled, as well as the power distribution between each power generation unit is controlled. According to the optimal operating scheme, the flue gas carbon capture unit is controlled to capture carbon from the flue gas emitted by the thermal power generation unit, the direct air carbon capture system is controlled to switch between absorption and release states, and the captured carbon dioxide is distributed to fuel preparation and carbon enrichment in agricultural greenhouses. According to the optimal control scheme, the preparation rate of the fuel preparation unit is controlled to prepare the captured carbon dioxide into fuel. The prepared fuel is then stored and supplied to the multi-element power generation unit for power generation. The temperature control system in the agricultural production unit is controlled to switch between heating and cooling states to regulate the temperature inside the greenhouse. At the same time, the amount of carbon dioxide released into the greenhouse by the carbon capture unit is controlled to regulate the carbon dioxide concentration inside the greenhouse, so that the temperature and carbon dioxide concentration inside the greenhouse are kept within a preset range.

[0059] Secondly, embodiments of this application provide a multi-electrode power generation, capture, and production integrated operation system for synergistic electricity and carbon emissions, operating based on the synergistic electricity and carbon emissions integrated operation method for multi-electrode power generation, capture, and production described in any of the above embodiments. The synergistic electricity and carbon emissions integrated operation system for multi-electrode power generation, capture, and production includes: Multi-functional power generation units used to provide electricity output include thermal power generation units, photovoltaic power generation units, biomass power generation units, and methanol combustion power generation units; A carbon capture unit for capturing carbon dioxide includes a direct air capture unit and a flue gas carbon capture unit. The flue gas emitted by the thermal power generation unit captures carbon dioxide through the flue gas carbon capture unit, and the direct air capture unit captures carbon dioxide from the atmosphere. A fuel preparation unit is used to prepare fuel from carbon dioxide captured by the carbon capture unit and to supply the prepared fuel to the multi-element power generation unit. An agricultural production unit includes an agricultural greenhouse and a temperature control system and a carbon dioxide release device installed inside the agricultural greenhouse. The biomass by-products produced by the agricultural production unit are supplied to the biomass power generation unit for power generation. In this process, a portion of the carbon dioxide captured by the carbon capture unit is sent into the agricultural greenhouse via the carbon dioxide release device to regulate the carbon dioxide concentration inside the greenhouse, while the other portion is sent into the fuel preparation unit to produce methanol. The produced methanol is then supplied to the methanol combustion power generation system for generating electricity.

[0060] The beneficial effects of the technical solutions provided in this application include: This application embodiment constructs a joint operation optimization model by using maximizing agricultural production efficiency as the objective function. It comprehensively optimizes the operating parameters of multiple power generation units, carbon capture units, and agricultural production units to maximize agricultural production efficiency. Based on current seasonal information, this application embodiment determines the current calorific value of biomass raw materials and establishes operating constraints for biomass power generation accordingly. This makes biomass power generation operation more consistent with actual fuel characteristics, thereby improving biomass utilization efficiency. This application embodiment uses constraints on biomass power generation operation, power supply and demand balance, multiple power generation operation, carbon capture operation, fuel preparation, and agricultural production operation as constraints to solve the joint operation optimization model. This yields the optimal operating parameters for multiple power generation units, carbon capture units, and agricultural production units. Multiple power generation forms, such as thermal power, photovoltaic, and biomass, are incorporated into a unified optimization framework for coordinated scheduling. The complementary characteristics of various power sources support the energy demands of the carbon capture unit and agricultural production unit, reducing the interference of single power generation output fluctuations on the coupled operation system of carbon capture and agricultural production. Simultaneously, it ensures that the operation of the carbon capture unit does not deviate from the actual power generation conditions and actual agricultural carbon demand, stabilizing carbon capture operation conditions. Attached Figure Description

[0061] Figure 1 A schematic flowchart of the multi-electrode power generation, capture and production combined operation method for synergistic electricity and carbon emissions provided in the embodiments of this application; Figure 2 This is a graph showing the proportion of high, medium, and low water content biomass raw materials in each season in an example calculation. Figure 3 This is a graph showing the temperature characteristics of different seasons in an example calculation. Figure 4 This is a diagram showing the light intensity characteristics in different seasons in an example calculation. Figure 5 This is a diagram showing the basic load characteristics for each season in an example calculation. Figure 6 A schematic diagram of the architecture of a multi-electrode power generation, capture and production joint operation system for synergistic electricity and carbon production provided in an embodiment of this application. Detailed Implementation

[0062] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present application.

[0063] To make the objectives, technical solutions, and advantages of this application clearer, the embodiments of this application will be described in further detail below with reference to the accompanying drawings.

[0064] This application provides a method and system for the combined operation of multiple power generation, capture and production, which can solve the problem of low agricultural production efficiency in the prior art.

[0065] In a first aspect, embodiments of this application provide a method for the combined operation of multi-electrode power generation, capture, and production with synergistic electricity and carbon emissions.

[0066] In one embodiment, reference is made to Figure 1 , Figure 1 This is a schematic flowchart illustrating the combined operation method of multi-electrode power generation, capture, and production with synergistic carbon capture and emission reduction provided in an embodiment of this application. Figure 1 As shown, the combined operation method of multi-electrode power generation, capture, and production with synergistic electricity and carbon sequestration specifically includes the following steps: Step S1: Obtain basic agricultural production data and current season information, and construct a joint operation optimization model based on the basic agricultural production data. The joint operation optimization model takes maximizing agricultural production efficiency as its objective function.

[0067] In this embodiment of the application, the basic agricultural production data includes: the average selling price of agricultural products in each season and time period, the proportion of by-products in agricultural products, the net dry matter increment of crops in each season, the number of days in each season, and the basic load data for each season.

[0068] In this embodiment of the application, the construction of the objective function specifically includes the following steps: Step A1: Based on the average selling price of agricultural products in each season and time period, the proportion of by-products in agricultural products, and the net dry matter increase of crops in each season, calculate the agricultural production income. The specific calculation is as follows:

[0069] in, Indicates agricultural production income. Indicates season Time period Coal consumption of internal thermal power generation units. This indicates the proportion of by-products in agricultural products. Indicates season The number of consecutive days, Indicates season Average selling price of agricultural products.

[0070] Because climate conditions, light intensity, and crop growth characteristics vary across seasons, introducing a seasonal index enables refined modeling of the agricultural production process. The net dry matter increment of crops in each season is the net value of the total dry matter produced by crops through photosynthesis minus the amount consumed by respiration; it is a core physical quantity for measuring agricultural output. Byproducts of agricultural products are biomass raw materials, which can be used for biomass power generation, while the remainder constitutes the main products with market value.

[0071] Step A2: Calculate the power generation cost, specifically as follows:

[0072] in, Indicates the cost of electricity generation. Indicates season Time period The output power of the internal thermal power generation unit, This represents the average fuel consumption per unit of electricity generated by a thermal power generation unit. Indicates season The unit price of coal, Indicates season Time period Other basic loads on the internal electrical side, Indicates season Time period Electricity price for internal base load, Indicates a unit of time.

[0073] Specifically, other base loads on the electricity consumption side refer to external electricity demands that require power from this system, in addition to the self-consumption of the multi-generational units, carbon capture units, and agricultural production units within this system. This is used to determine the total power generation demand of the system in each time period. The unit time, also known as the scheduling cycle, is defined in this application embodiment as a complete year encompassing all four seasons. Representing power generation costs as a function related to the base load allows joint operation optimization to automatically adjust power generation strategies based on external load demand, avoiding blindly pursuing power generation while ignoring fuel costs.

[0074] Step A3: Calculate the carbon emission cost, specifically as follows:

[0075] in, Indicates carbon emission costs, This represents the average amount of flue gas emitted per unit of electricity generated. Indicates season Time period The amount of carbon dioxide absorbed by the internal flue gas carbon capture unit. Indicates season Time period The amount of carbon dioxide absorbed by the internal direct air capture unit. This represents the unit cost of treating carbon dioxide emissions.

[0076] Specifically, carbon emission costs refer to the environmental remediation expenses incurred due to carbon dioxide emissions during the dispatch cycle. The unit remediation cost of carbon dioxide emissions specifically refers to the carbon tax or carbon trading fee borne for each unit mass of carbon dioxide emitted. When carbon capture increases, carbon emission costs decrease, but carbon capture itself consumes electricity, increasing power generation costs. When carbon emission costs are high, the joint operation optimization model will tend to increase carbon capture to reduce costs, and vice versa. This avoids increasing carbon emissions solely to reduce power generation costs, or increasing capture energy consumption without limit solely to reduce carbon emissions.

[0077] Step A4: Calculate the basic costs of agricultural production, specifically as follows:

[0078] in, Indicates the basic cost of agricultural production. Indicates the volume of the agricultural greenhouse. This represents the basic operating cost per unit volume of an agricultural greenhouse.

[0079] By incorporating the fixed inputs of facility agriculture into the objective function, the joint operation optimization model can maximize efficiency without ignoring the constraints of infrastructure investment.

[0080] Step A5: Construct an objective function based on agricultural production revenue, power generation costs, carbon emission costs, and basic agricultural production costs. The objective function is specifically expressed as follows:

[0081] in, Indicates the entire scheduling cycle Net income from agricultural production within the region Indicates time period Domestic agricultural production income, Indicates time period Internal power generation cost Indicates time period Internal carbon emission costs Indicates time period Domestic agricultural production basic costs.

[0082] The objective function is to maximize the net value of agricultural production revenue minus power generation costs, carbon emission costs, and basic agricultural production costs over the entire scheduling cycle. By maximizing this net value, the system can maximize agricultural production output, minimize power generation operating costs, minimize carbon emissions, and minimize agricultural operating costs while meeting load demand.

[0083] Step S2: Determine the current calorific value of the biomass feedstock based on the current seasonal information, and establish biomass power generation operation constraints based on the current calorific value of the biomass feedstock.

[0084] In this embodiment of the application, the operational constraints of the biomass power generation unit include: biomass power generation output power constraints and biomass raw material balance constraints.

[0085] In this embodiment of the application, step S2 specifically includes the following steps: Step S21: Based on the moisture content data of biomass raw materials in each season, the biomass raw materials are divided into three calorific value grades: high moisture content, medium moisture content, and low moisture content, and the unit calorific value corresponding to each calorific value grade is determined.

[0086] Specifically, the higher the moisture content, the lower the proportion of combustible dry matter in a unit mass of biomass feedstock. During combustion, the evaporation of moisture requires the absorption of additional heat, so the calorific value released per unit mass of biomass feedstock is lower.

[0087] Step S22: Determine the proportion of biomass raw materials of each calorific value grade according to the current season, so as to determine the current calorific value of the biomass raw materials.

[0088] Specifically, the collection time and storage conditions of biomass feedstocks vary with the seasons. During the summer crop harvest season, the feedstocks are not fully dried after harvest, resulting in a higher moisture content. In autumn, the moisture content decreases somewhat after natural drying, and in winter, after long-term storage and further drying, the moisture content is at its lowest. Since moisture content directly affects the combustible content per unit mass of biomass feedstock and the heat consumed by moisture evaporation during combustion, the actual calorific value released by biomass feedstocks obtained in different seasons varies significantly.

[0089] Step S23: Establish biomass power generation operation constraints based on the current calorific value of biomass feedstock.

[0090] Specifically, the operational constraints of biomass power generation units are as follows:

[0091]

[0092] in, Indicates season Time period Output power of the endogenous biomass power generation unit Indicates season Time period The total calorific value of the biomass feedstock consumed by the endogenous biomass power generation unit. This indicates the conversion efficiency of the biomass power generation unit. This indicates the maximum output power of the biomass power generation unit.

[0093] The operational constraints of biomass power generation units link the thermal energy input of biomass fuel with the electrical energy output, while limiting the output to not exceed the rated capacity. This constraint uses different fuel calorific value parameters in different seasons. If the moisture content of the raw material is high in a particular season, the total calorific value generated by the same mass of raw material will be lower, requiring more raw material to be consumed for the same output demand. The model needs to adjust the raw material consumption accordingly. This ensures that the model's calculation of biomass power generation output is consistent with the actual fuel quality, avoiding situations where planned power generation cannot be achieved due to overestimating the calorific value or where fuel waste occurs due to underestimating the calorific value.

[0094] Specifically, the biomass feedstock balance constraints are as follows:

[0095]

[0096] in, Indicates season Time period Consumption of endogenous raw materials This indicates the unit calorific value of high-moisture biomass feedstock. Indicates season The proportion of high-water-content biomass feedstock This indicates the unit calorific value of water-containing biomass feedstock. Indicates season The proportion of water-bearing biomass raw materials, This indicates the unit calorific value of low-moisture biomass feedstock. Indicates season The proportion of low-water-content biomass raw materials Indicates season The number of consecutive days, Indicates season Time period Net dry matter increase of crops in agricultural greenhouses. This indicates the proportion of by-products in agricultural products.

[0097] The biomass feedstock balance constraint means that all fuel consumed in the biomass power generation system comes from by-products of agricultural production within the system, without relying on external biomass fuel supply. This constraint ensures that biomass fuel consumption does not exceed the total amount of by-products available from agricultural production, allowing the system to operate within the physical limits of the material cycle. Furthermore, the annual total constraint allows for the storage and use of excess by-products across seasons, providing flexibility for the seasonal scheduling of biomass power generation.

[0098] Step S3: Using constraints such as biomass power generation operation constraints, power supply and demand balance constraints, diversified power generation operation constraints, carbon capture operation constraints, fuel preparation constraints, and agricultural production operation constraints as conditions, solve the joint operation optimization model to obtain the optimal operating parameters of the diversified power generation unit, carbon capture unit, and agricultural production unit.

[0099] The diversified power generation units include: thermal power generation units, photovoltaic power generation units, biomass power generation units, and methanol combustion power generation units. The operational constraints for these diversified power generation units include: operational constraints for thermal power generation units, output constraints for photovoltaic power generation units, and operational constraints for methanol combustion power generation units. Specifically, the operational constraints for thermal power generation units include start-up and shutdown operation constraints, start-up and shutdown frequency constraints, thermal power output power constraints, and ramp-up constraints. The operational constraints for methanol combustion power generation units include methanol combustion power output power constraints and methanol balance constraints.

[0100] In the embodiments of this application: The specific constraints for start / stop operations are as follows:

[0101] in, Indicates season Time period The start-up operation variable for the internal thermal power generation unit, when set to 1, indicates that a start-up operation is performed. Represents the large M constant. Indicates season Time period The operating status variable of the internal thermal power generation unit is set to 1 to indicate operation and 0 to indicate shutdown. Indicates season Time period Operating state variables of the internal thermal power generation unit.

[0102] Specifically, a thermal power generation unit refers to a generator set that converts chemical energy into electrical energy by burning fossil fuels such as coal. Because frequent start-ups and shutdowns of thermal power units can lead to increased equipment wear and limited response speed, constraints need to be placed on their start-up and shutdown behavior, output range, and regulation rate. A value of 1 indicates that the startup operation is performed, while a value of 0 indicates that the startup operation is not performed. Startup and shutdown operation constraints ensure that the startup operation variable of the model is consistent with the actual running state changes, preventing contradictory results such as the running state changing when the startup is not started or starting but the state not changing.

[0103] The specific constraints on the number of start-ups and shutdowns are as follows:

[0104]

[0105]

[0106] in, This indicates the maximum number of times a thermal power generation unit can be started per day. Indicates season Time period The shutdown operation variable for the internal thermal power generation unit, when set to 1, indicates that a shutdown operation is performed. This indicates the maximum number of times a thermal power generation unit can be shut down per day.

[0107] Specifically, and The specific lifespan of the unit and maintenance requirements are determined to limit the damage to the equipment caused by frequent start-ups and shutdowns. A value of 1 indicates that a shutdown operation will be performed, while a value of 0 indicates that a shutdown will not be performed. Thus, the adverse effects of frequent unit start-ups and shutdowns on equipment lifespan are transformed into an upper limit constraint on the number of startups and shutdowns in the model. The optimization model will not provide start-up and shutdown schemes that exceed the actual allowable range during the solution process.

[0108] The specific power output constraints for thermal power generation are as follows:

[0109] in, This indicates the lower limit of the output of a thermal power generation unit. Indicates season Time period The output power of the internal thermal power generation unit, This indicates the installed capacity of the thermal power generation unit. This indicates the upper limit of the output of a thermal power generation unit.

[0110] Specifically, when the unit is in operation, its output power is limited to between the minimum and maximum output. When the unit is shut down, both sides of the inequality are zero, and the output power is forced to zero. This eliminates output schemes that may not conform to physical laws in the model, prohibiting both shut-down units from having output power and operating units from having output power lower than their technical minimum output or exceeding their rated capacity.

[0111] The specific climbing constraints are as follows:

[0112] in, Indicates season The maximum ramp rate per unit installed capacity of the thermal power generation unit. Indicates season Time period Output power of the internal thermal power generation unit.

[0113] Specifically, the setting of ramp constraints can ensure that the increase (ramp) and decrease (slippage) of the unit's output power within a time period cannot exceed the maximum change range determined by the ramp rate and installed capacity, thus avoiding unexecutable schemes with excessively large output jumps between adjacent time periods in the optimization results and ensuring the feasibility of dispatch instructions.

[0114] The specific output constraints of photovoltaic power generation units are as follows:

[0115] in, Indicates season Time period Output power of the internal photovoltaic power generation unit This indicates the maximum output of the photovoltaic power generation unit. Indicates season Time period Inner average illuminance coefficient.

[0116] Specifically, The value of is between 0 and 1, where 1 represents full irradiance (sunny day at noon) and 0 represents no sunlight (night), varying with the season and time of day. A dynamic correlation is established between the upper limit of photovoltaic output and the irradiance conditions, enabling the model to accurately reflect the time-varying characteristics and uncertainty boundaries of photovoltaic output, and preventing the optimization results from assigning photovoltaic units output values ​​beyond their physical possibilities.

[0117] The specific power output constraints for methanol combustion power generation are as follows:

[0118]

[0119] in, Indicates season Time period The output power of the internal methanol combustion power generation unit, Indicates season Time period The amount of methanol consumed by the internal methanol combustion power generation unit. This represents the power generation efficiency coefficient of the methanol combustion power generation unit. This indicates the maximum output power of the methanol combustion power generation unit.

[0120] Specifically, a methanol combustion power generation unit refers to a power generation device that uses methanol as fuel and converts chemical energy into electrical energy through combustion. The methanol combustion power generation unit uses methanol produced in the carbon capture and synthesis step S1 as fuel, and its operation must simultaneously satisfy the energy conversion relationship and the fuel supply balance. Specifically, it refers to the efficiency of converting the heat energy released by the combustion of a unit mass of methanol into electrical energy. The output power constraint for methanol combustion power generation will limit the output power between 0 and the maximum output.

[0121] The methanol equilibrium constraint is specifically as follows:

[0122]

[0123] in, Indicates season Time period The amount of methanol prepared internally. Indicates auxiliary time variables, This indicates the last period of a typical day.

[0124] Specifically, Specifically, it is generated by a synthesis reaction between carbon dioxide captured by the carbon capture unit and hydrogen produced by water electrolysis. This is used to check the cumulative methanol inventory on a time-by-time basis. In a specific embodiment, a typical day may include 24 time periods. The methanol balance constraint ensures that at any given time period, the total amount of methanol produced from the start of the season to the end of that time period must not be less than the total amount of methanol consumed, meaning that the methanol inventory is never negative. This prevents plans to consume methanol before it has been produced. At the same time, within a season, the total amount of methanol produced equals the total amount of methanol consumed, meaning that all methanol is consumed and utilized, and no methanol inventory remains across seasons.

[0125] The carbon capture unit includes a direct air capture unit and a flue gas carbon capture unit. Carbon capture operation constraints include: flue gas carbon capture unit operation constraints, direct air carbon capture system operation constraints, carbon dioxide balance constraints, and carbon dioxide release constraints.

[0126] In the embodiments of this application: The specific operational constraints of the flue gas carbon capture unit are as follows:

[0127]

[0128] in, Indicates season Time period The amount of carbon dioxide absorbed by the internal flue gas carbon capture unit. This represents the proportion of carbon dioxide captured by flue gas. This indicates the power consumed by the flue gas carbon capture unit. This indicates the energy consumed by the flue gas carbon capture unit to capture one unit of carbon dioxide.

[0129] Specifically, a flue gas carbon capture unit (FGC) is a device that separates and captures carbon dioxide from the flue gas emitted by a thermal power generation unit. The operational constraints of the FGC indicate that the amount of carbon dioxide captured changes linearly with the power generation output; the higher the power generation output, the more carbon dioxide can be captured. Simultaneously, the capture energy consumption changes linearly with the amount captured. The operational constraints of the FGC ensure that its operating state depends on the power generation conditions of the thermal power generation unit, and the model needs to balance power generation revenue, capture revenue, and capture energy consumption.

[0130] The specific operational constraints of the direct air carbon capture system are as follows:

[0131]

[0132] in, Indicates season Time period The amount of carbon dioxide absorbed by the internal direct air capture unit. This indicates the amount of carbon dioxide that the direct air capture unit can absorb. Indicates season Time period The power of the internal direct air capture unit in absorbing carbon dioxide. Indicates season Time period Absorption operation status variables of the internal direct air capture unit This indicates the maximum power at which the direct air capture unit absorbs carbon dioxide.

[0133] Specifically, a direct air capture unit (DAU) is a device that captures carbon dioxide directly from ambient air without relying on fixed emission sources. This device can be deployed near agricultural greenhouse areas, and the captured carbon dioxide can be temporarily stored inside the device or released into the greenhouse for crop photosynthesis when needed. A value of 1 indicates that the device is in capture mode, while a value of 0 indicates that the device is not performing capture operations. The operating constraints of the direct air carbon capture system impose dual time and power limitations on the capture behavior of the direct air capture unit. The capture power cannot exceed the maximum power of the device, and the device can only operate during specific time periods through state variable control.

[0134] The carbon dioxide balance constraints are as follows:

[0135] in, Indicates season Time period The amount of carbon dioxide released into agricultural greenhouses by the internal direct air carbon capture system. Indicates season Time period The carbon dioxide consumed in the internal preparation of methanol.

[0136] Specifically, at any given time point, the total amount of carbon dioxide captured from the start of the season to that point must not be less than the total amount of carbon dioxide consumed. The carbon dioxide balance constraint prevents the release or consumption of carbon dioxide before it has been captured and prevents a mismatch between carbon capture and carbon consumption over time, which could lead to system outages.

[0137] The specific constraints on carbon dioxide emissions are as follows:

[0138]

[0139] in, Indicates season Time period The power of inward-facing agricultural greenhouses to release carbon dioxide. Indicates season Time period Release of operating status variables of the internal direct air capture unit This indicates the maximum power at which carbon dioxide is released into agricultural greenhouses. This indicates the amount of carbon dioxide that the direct air capture unit can release.

[0140] Specifically, carbon dioxide release constraints are used to control the behavior of direct air capture systems supplying carbon dioxide into agricultural greenhouses by associating the release amount with the release power and defining its power boundary. A value of 1 indicates that the device is releasing carbon dioxide into the greenhouse, while a value of 0 indicates that the release operation is not performed. Setting carbon dioxide release constraints can link carbon dioxide release behavior with agricultural production needs, matching carbon dioxide supply with the photosynthetic needs of crops at different times. At the same time, the power consumed by the release behavior must be provided by multiple power generation units. This constraint converts the operating cost of carbon release into part of the system's electrical load.

[0141] Agricultural production operation constraints include: agricultural greenhouse thermal balance constraints, temperature control system operation constraints, greenhouse temperature constraints, greenhouse carbon dioxide balance constraints, and crop yield constraints.

[0142] The specific thermal balance constraints for agricultural greenhouses are as follows:

[0143] in, For the volume of the agricultural greenhouse, air density, This indicates the specific heat capacity of air. Indicates season Time period The temperature inside the agricultural greenhouse, Indicates season Time period The temperature inside the agricultural greenhouse, This indicates the heat conduction area of ​​the agricultural greenhouse. Indicates season Time period Internal and external temperatures Indicates season Time period The heat production of crops inside agricultural greenhouses. Indicates season Time period Heating capacity of the temperature control system in the indoor agricultural greenhouse; Indicates season Time period The cooling capacity of the temperature control system in the indoor agricultural greenhouse.

[0144] Specifically, when the external temperature decreases, the heat dissipation of the greenhouse increases. If no heating is provided, the temperature inside the greenhouse will drop. If the heating capacity is increased, the temperature inside the greenhouse can be maintained or increased. By setting the thermal balance constraint of the agricultural greenhouse, the model can simulate the dynamic evolution of the greenhouse temperature with external climate conditions and temperature control strategies.

[0145] The specific operating constraints of the temperature control system are as follows:

[0146]

[0147]

[0148]

[0149]

[0150] in, This represents the coefficient of performance (COP) of the temperature control system. This represents the coefficient of performance (COP) of the temperature control system. Indicates season Time period The heating capacity of the temperature control system in the indoor agricultural greenhouse. Indicates season Time period The cooling capacity of the temperature control system in the indoor agricultural greenhouse. Indicates season Time period The heating operation status variables of the temperature control system in the indoor agricultural greenhouse. Indicates season Time period The refrigeration operation status variables of the temperature control system in the indoor agricultural greenhouse. This indicates the maximum operating power of the temperature control system.

[0151] Specifically, A value of 1 indicates that the heating equipment is running, and a value of 0 indicates that the heating equipment is shut down. A value of 1 indicates that the refrigeration equipment is running, and a value of 0 indicates that the refrigeration equipment is shut down. The operating constraints of the temperature control system limit both heating and cooling power to between 0 and maximum power, and control the start and stop through state variables. At the same time, mutual exclusion conditions are set, so that the heating and cooling states cannot both be 1 at the same time, and both can be 0. The operating mode of the equipment is clearly defined through mutual exclusion conditions.

[0152] The specific meaning of greenhouse temperature constraints is as follows:

[0153] in, Indicates season The lower limit of temperature inside agricultural greenhouses. Indicates season The upper limit of temperature inside agricultural greenhouses.

[0154] Specifically, the greenhouse temperature constraint setting limits the temperature inside the greenhouse to not being lower than the lower limit of the season or higher than the upper limit of the season at any time. In other words, the temperature inside the greenhouse is always controlled within the temperature range that crops can survive and grow normally, so that the decision results of the heat balance constraint and temperature control system will not exceed the temperature range for normal crop growth, thus ensuring the feasibility of agricultural production.

[0155] The specific carbon dioxide balance constraints for greenhouses are as follows:

[0156]

[0157] in, Indicates season Time period Carbon dioxide concentration inside agricultural greenhouses. Indicates season Time period Carbon dioxide concentration inside agricultural greenhouses. Indicates season Time period The amount of carbon dioxide consumed by crops through photosynthesis inside agricultural greenhouses. Indicates season Time period The amount of carbon dioxide released by crops during respiration inside agricultural greenhouses. Indicates season Time period The lower limit of carbon dioxide concentration inside agricultural greenhouses. They represent the seasons. Time period The upper limit of carbon dioxide concentration inside agricultural greenhouses.

[0158] Specifically, the setting of greenhouse carbon dioxide balance constraints establishes a quantitative relationship between the dynamic changes in greenhouse carbon dioxide concentration and carbon release and crop photosynthetic / respiratory carbon consumption, enabling the model to accurately match carbon dioxide supply and crop carbon demand.

[0159] The specific constraints on crop yield are as follows:

[0160]

[0161]

[0162]

[0163]

[0164]

[0165] in, Indicates season Time period Net dry matter increase of crops in agricultural greenhouses. Indicates season Time period The increase in dry matter from photosynthesis in crops within agricultural greenhouses. Indicates season Time period Dry matter consumption due to respiration of crops inside agricultural greenhouses. This represents the temperature decay coefficient of photosynthesis. Indicates temperature difference segments Temperature deviation value, This represents the carbon dioxide production increase coefficient of photosynthesis. This represents the baseline dry matter increment from photosynthesis. Indicates the baseline carbon dioxide concentration. This represents the coefficient indicating the effect of temperature on respiration. This represents the coefficient indicating the effect of carbon dioxide on respiration. The baseline dry matter consumption representing respiration. Indicates the reference temperature. Indicates season Time period The difference between the temperature inside an agricultural greenhouse and the optimal temperature. This indicates the optimal temperature for photosynthesis. Indicates temperature difference segments The lower limit temperature, Indicates temperature difference segments The lower limit temperature, This indicates the last temperature difference segment. This represents a special ordered set constraint.

[0166] Specifically, crop yield constraints define net dry matter increment as the amount synthesized through photosynthesis minus the amount consumed through respiration. Respiration consumption is positively correlated with both greenhouse temperature and carbon dioxide concentration; increased temperature accelerates respiratory metabolism, and increased carbon dioxide concentration also promotes respiration. The continuous range of temperature difference variables is divided into... The temperature suppression factor is approximated piecewise linearly by defining two adjacent intervals and using SOS2 constraints to limit the temperature difference to falling at most at the boundary between two adjacent segments. This establishes a quantitative mapping relationship between greenhouse environmental parameters and crop yield. Furthermore, the further the constrained temperature deviates from the optimal temperature, the stronger the suppression. This nonlinear relationship is further validated by… Piecewise linearization transforms the model into mixed-integer linear constraints, enabling efficient solution of the model.

[0167] In the embodiments of this application: The specific constraints on fuel preparation are:

[0168]

[0169]

[0170] in, Indicates season Time period The power consumed in the production of methanol internally. Indicates season Time period The amount of methanol prepared internally. This indicates the amount of electricity consumed to produce one unit of methanol. This indicates the maximum power required to produce methanol. Indicates the conversion coefficient for the production of methanol from carbon dioxide; Specifically, not all the carbon dioxide captured by the carbon capture unit is directly used for application in agricultural greenhouses. A portion is transported to a methanol synthesis unit, where it reacts with hydrogen produced from water electrolysis under the action of a catalyst to generate methanol. This methanol can be used as a storable liquid fuel, providing peak-shaving power generation for the methanol combustion power generation unit when needed, thus achieving the material sequestration of carbon dioxide and energy time-shifting. Through the setting of fuel production constraints, the carbon dioxide synthesized into methanol is no longer directly emitted into the atmosphere, but is fixed and stored in the form of liquid fuel, forming a carbon material sequestration channel, while providing the carbon capture unit with a deterministic carbon disposal destination.

[0171] The specific constraints on the balance between electricity supply and demand are:

[0172] in, Indicates season Time period The output power of the internal methanol combustion power generation unit, Indicates season Time period Other basic loads on the internal electrical side.

[0173] Specifically, the fundamental physical requirement for power system operation is that power generation equals power consumption at any given time. In this system, the power load comprises multiple components, and the output of each multi-generational unit must match the sum of all these loads in real time; otherwise, the system frequency will deviate from its rated value, making safe and stable operation impossible. The power supply and demand balance constraint ensures that power generation and power consumption are strictly equal at any given time, guaranteeing system frequency stability and power supply security. This ensures that the operating parameters of each device output by the model meet the fundamental physical laws of power system operation. Simultaneously, it coordinates thermal power generation, photovoltaic power generation, biomass power generation, and methanol combustion power generation in a unified manner at each time period, automatically allocating the output of each power source according to load demand and changes in photovoltaic output, thereby fully leveraging the differentiated advantages of different power sources in terms of regulation speed, fuel cost, and carbon emissions.

[0174] Step S4: Based on the optimal operating parameters, control the coordinated operation of the multi-element power generation unit, carbon capture unit, and agricultural production unit.

[0175] In this embodiment of the application, based on seasonal and time-period characteristics, the temperature characteristics, light intensity characteristics, and base load characteristics of each season are input. The objective function is solved under the constraints of power supply and demand balance, multi-generation operation constraints, carbon capture operation constraints, fuel preparation constraints, and agricultural production operation constraints, so as to obtain the optimal output scheme of the multi-generation unit, the optimal operation scheme of the carbon capture unit, and the optimal control scheme of the agricultural production unit.

[0176] Specifically, the temperature characteristics, light intensity characteristics, and base load characteristics of each season are used as inputs, so that the solution adopts the corresponding environmental and load parameters for different seasons, thus matching the control scheme with seasonal conditions. By solving all decision variables simultaneously in the same model, it is ensured that the final scheme is the globally optimal solution at the system-wide level.

[0177] Based on the optimal power output scheme, the start-up and shutdown status and power output of each power generation unit in the multi-generation power generation unit are controlled, as well as the power distribution among the power generation units are controlled.

[0178] Specifically, the total load is shared by four power generation units, each with a different proportion, directly affecting the system's fuel consumption and carbon emissions. Increased thermal power output leads to higher fuel costs and increased carbon emissions, but also increases flue gas carbon capture. Increased biomass power output requires more biomass fuel, but biomass fuel, derived from agricultural byproducts, does not produce net carbon emissions. Increased photovoltaic power output consumes no fuel and has zero carbon emissions, but its output is constrained by sunlight conditions and cannot be artificially adjusted. The optimal output scheme, by rationally allocating the output of each unit across different time periods, minimizes the sum of the system's power generation costs and carbon emission costs while meeting the total load requirements. The control system then translates this allocation scheme into actual operating commands for each unit. Based on the power allocation ratio determined in the optimal scheme, the output of the four power sources—thermal, photovoltaic, biomass, and methanol combustion—is coordinated across different time periods, ensuring that each power source bears the load in its optimal proportion within its respective physical constraints, forming a complementary operating pattern.

[0179] According to the optimal operating scheme, the flue gas carbon capture unit is controlled to capture carbon from the flue gas emitted by the thermal power generation unit, the direct air carbon capture system is controlled to switch between absorption and release states, and the captured carbon dioxide is distributed to fuel preparation and carbon enrichment in agricultural greenhouses.

[0180] Specifically, by controlling the absorption and release state variables, the direct air capture device can switch between two operating modes: absorbing ambient air and releasing carbon dioxide, thus decoupling carbon dioxide capture and supply in the time dimension. According to the optimal operating plan, the captured carbon dioxide is proportionally allocated to two consumption destinations: methanol production and agricultural greenhouses, ensuring that the carbon dioxide flow precisely matches the actual demand at each time period. The flue gas carbon capture unit is controlled to operate synchronously with the thermal power generation unit, matching the carbon capture process with the flue gas emission process in time and scale, ensuring coordinated operation of capture during power generation and capture alongside power generation.

[0181] According to the optimal control scheme, the preparation rate of the fuel preparation unit is controlled to prepare the captured carbon dioxide into fuel. The prepared fuel is then stored and supplied to the multi-element power generation unit for power generation. The temperature control system in the agricultural production unit is controlled to switch between heating and cooling modes to regulate the temperature inside the greenhouse. At the same time, the amount of carbon dioxide released into the greenhouse by the carbon capture unit is controlled to regulate the carbon dioxide concentration inside the greenhouse, so that the temperature and carbon dioxide concentration inside the greenhouse are kept within the preset range.

[0182] Specifically, by controlling the production rate, the captured carbon dioxide is converted into methanol fuel for storage and supplied to multiple power generation units when needed. The temperature inside the greenhouse is regulated by controlling the switching between heating and cooling of the temperature control system, and the concentration inside the greenhouse is regulated by controlling the amount of carbon dioxide released, so that the temperature and carbon dioxide concentration are kept within the preset range, providing stable environmental conditions for crop growth.

[0183] In one specific embodiment, the agricultural production efficiency obtained by the combined operation method of multi-electro-carbon synergy power generation, capture and production (Method 1) proposed in this application is compared with the agricultural production efficiency obtained by the single thermal power supply method (Method 2). The simulation calculation is performed on the MATLAB / CPLEX platform, and the hardware parameters are: Intel Core i7-9750H, 32G RAM, 2.6GHz.

[0184] In one example calculation: the average fuel consumption per unit of power generation of the thermal power generation unit is 0.32 kg / kWh; the average flue gas emission per unit of power generation is 3.8 cubic meters per kWh; the unit time is 1 hour; the unit treatment cost of carbon dioxide emissions is 120 yuan per ton of carbon dioxide; the volume of the agricultural greenhouse is 1.2 million cubic meters; the basic operating cost per unit volume of the agricultural greenhouse is 0.025 yuan per cubic meter per day; the maximum number of start-ups of the thermal power generation unit per day is 3; the maximum number of shutdowns of the thermal power generation unit per day is 3; the lower and upper limits of the output of the thermal power generation unit are 20. 100 MW; the installed capacity of the thermal power generation unit is 100 MW; the maximum output of the photovoltaic power generation unit is 60 MW; the conversion efficiency of the biomass power generation unit is 0.31; the maximum output power of the biomass power generation unit is 30 MW; the unit calorific value of high, medium, and low moisture content biomass feedstocks are 8.2 MJ / kg, 14.5 MJ / kg, and 18.6 MJ / kg, respectively; the proportion of by-products in agricultural products is 0.42%; the power generation efficiency coefficient of the methanol combustion power generation unit is 0.38; the maximum output power of the methanol combustion power generation unit is 20 MW; the flue gas carbon capture unit captures a unit amount of carbon dioxide... The energy consumed for carbon dioxide oxidation is 0.28 MWh per ton of carbon dioxide; the maximum power of the direct air capture unit for absorbing carbon dioxide is 12 MW; the maximum power for releasing carbon dioxide into agricultural greenhouses is 4.5 MW; the amount of carbon dioxide absorbed and released per unit of electricity consumed by the direct air capture unit is 0.75 tons of carbon dioxide per MWh and 1.1 tons of carbon dioxide per MWh, respectively; the electricity consumed for producing one unit of methanol is 6.2 MWh per ton of methanol; the maximum power for methanol production is 9 MW; the conversion coefficient from carbon dioxide to methanol is 0.86 tons of methanol per ton of carbon dioxide; the air density is 1.2. 25 kg / m³; specific heat capacity of air is 1.005 kJ / kg°C; thermal conductivity of the agricultural greenhouse is 280,000 square meters; coefficient of performance (COP) for heating and cooling of the temperature control system is 3.6 and 4.2, respectively; maximum operating power of the temperature control system is 18 MW; temperature inhibition coefficient for photosynthesis is 0.012°C; carbon dioxide yield increase coefficient for photosynthesis is 0.0085 m³ / ton CO2; reference temperature is 22°C; reference carbon dioxide concentration is 800 parts per million; reference dry matter increase for photosynthesis is 0.065 kg / m³ / h.

[0185] Figure 2 This is a graph showing the proportion of high, medium, and low water content biomass raw materials in each season in an example calculation. Figure 3 This is a graph showing the temperature characteristics of different seasons in an example calculation. Figure 4 This is a diagram showing the light intensity characteristics in different seasons in an example calculation. Figure 5This is a diagram showing the basic load characteristics for each season in an example calculation. Method 1 and Method 2 were applied to the example, and the agricultural production efficiency of the two methods is compared in Table 1.

[0186] Table 1. Comparison of agricultural production efficiency between Method 1 and Method 2

[0187] Comparing Method 1 and Method 2, it can be seen that using Method 1 increases agricultural production income by 10.76% compared to Method 2, while reducing power generation costs and carbon emission costs by 12.15% and 10.09%, respectively, resulting in an overall net increase of 87.21%. These results demonstrate that the proposed multi-electrode power generation, capture, and production combined operation method with carbon synergy proposed in this application achieves the technical effect of maximizing the overall agricultural production efficiency and improving energy utilization while ensuring carbon emission reduction.

[0188] This application embodiment constructs a joint operation optimization model by using maximizing agricultural production efficiency as the objective function. It comprehensively optimizes the operating parameters of multiple power generation units, carbon capture units, and agricultural production units to maximize agricultural production efficiency. Based on current seasonal information, this application embodiment determines the current calorific value of biomass raw materials and establishes operating constraints for biomass power generation accordingly. This makes biomass power generation operation more consistent with actual fuel characteristics, thereby improving biomass utilization efficiency. This application embodiment uses constraints on biomass power generation operation, power supply and demand balance, multiple power generation operation, carbon capture operation, fuel preparation, and agricultural production operation as constraints to solve the joint operation optimization model. This yields the optimal operating parameters for multiple power generation units, carbon capture units, and agricultural production units. Multiple power generation forms, such as thermal power, photovoltaic, and biomass, are incorporated into a unified optimization framework for coordinated scheduling. The complementary characteristics of various power sources support the energy demands of the carbon capture unit and agricultural production unit, reducing the interference of single power generation output fluctuations on the coupled operation system of carbon capture and agricultural production. Simultaneously, it ensures that the operation of the carbon capture unit does not deviate from the actual power generation conditions and actual agricultural carbon demand, stabilizing carbon capture operation conditions.

[0189] Secondly, embodiments of this application also provide a multi-electrode power generation, capture, and production combined operation device for synergistic electricity and carbon production.

[0190] In one embodiment, reference is made to Figure 6 This application provides a schematic diagram of the architecture of a multi-electrode power generation, capture, and production system that integrates electricity and carbon fusion. Figure 6 As shown, the multi-electrode power generation, capture, and production integrated operation system with synergistic electricity and carbon sequestration includes: Multi-functional power generation units used to provide electricity output include thermal power generation units, photovoltaic power generation units, biomass power generation units, and methanol combustion power generation units; Carbon capture units used to capture carbon dioxide include direct air capture units and flue gas carbon capture units. Flue gas emitted from thermal power generation units captures carbon dioxide through flue gas carbon capture units, while direct air capture units capture carbon dioxide from the atmosphere. The fuel production unit is used to produce fuel from carbon dioxide captured by the carbon capture unit and supply the produced fuel to the multi-generation power generation unit. The agricultural production unit includes an agricultural greenhouse and a temperature control system and a carbon dioxide release device installed inside the agricultural greenhouse. The biomass by-products produced by the agricultural production unit are supplied to the biomass power generation unit for power generation. In this process, part of the carbon dioxide captured by the carbon capture unit is sent into the agricultural greenhouse through a carbon dioxide release device to regulate the carbon dioxide concentration inside the greenhouse, while the other part is sent into the fuel preparation unit to produce methanol. The produced methanol is then supplied to the methanol combustion power generation system for generating electricity.

[0191] Specifically, the thermal power generation unit, photovoltaic power generation unit, biomass power generation unit, and methanol combustion power generation unit in the multi-generation power generation unit each output electricity, which is then converged to the system bus to supply all power-consuming components within the system. These power-consuming components include: the capture power consumption required for the operation of the flue gas carbon capture unit and the direct air capture unit, the synthesis power consumption required for the operation of the fuel preparation unit, the temperature regulation power consumption required for the heating / cooling operation of the agricultural greenhouse temperature control system, and the base load outside the system.

[0192] The carbon capture unit operates along two independent carbon capture pathways. First, the flue gas from the coal-fired power plant captures carbon dioxide, which is then captured by the flue gas carbon capture unit. Second, the direct air capture unit directly captures carbon dioxide from the ambient atmosphere. The captured carbon dioxide is then distributed proportionally to two disposal destinations: one portion is released into agricultural greenhouses via carbon dioxide release devices to increase the carbon dioxide concentration, providing energy for crop photosynthesis and promoting dry matter accumulation; the other portion is transported to the fuel preparation unit, where it reacts with hydrogen produced from water electrolysis to synthesize methanol. The synthesized methanol is then stored and supplied to the methanol combustion power generation unit as peak-shaving fuel for power generation.

[0193] Biomass byproducts from agricultural production units are collected and categorized according to seasonal moisture content differences. These byproducts are then used as fuel in biomass power generation units, thus realizing the energy utilization of agricultural waste. Simultaneously, the temperature control system within the agricultural production unit regulates the greenhouse temperature in real time, working in conjunction with carbon dioxide release devices to maintain the optimal environmental conditions required for crop growth.

[0194] The combined power generation, carbon capture, and production system provided in this application integrates power generation, carbon capture, fuel preparation, and agricultural production into a closed-loop system. Various energy sources and materials flow directionally and support each other within these processes, enabling stable energy supply from diversified power generation to carbon capture and agricultural production, as well as a reverse supplement from agricultural production to power generation fuel. Ultimately, this constitutes a comprehensive operational architecture linking the diversified power generation unit, carbon capture unit, fuel preparation unit, and agricultural production unit.

[0195] The terms "comprising" and "having," and any variations thereof, in the specification, claims, and accompanying drawings of this application are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to such process, method, product, or apparatus. The terms "first," "second," and "third," etc., are used to distinguish different objects, etc., and do not indicate a sequence, nor do they limit "first," "second," and "third" to different types.

[0196] In the description of the embodiments of this application, terms such as "exemplary," "for example," or "for instance" are used to indicate examples, illustrations, or explanations. Any embodiment or design described as "exemplary," "for example," or "for instance" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of terms such as "exemplary," "for example," or "for instance" is intended to present the relevant concepts in a concrete manner.

[0197] In the description of the embodiments of this application, unless otherwise stated, " / " means "or". For example, A / B can mean A or B. The "and / or" in the text is merely a description of the relationship between related objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, A and B exist simultaneously, and B exists alone. In addition, in the description of the embodiments of this application, "multiple" means two or more.

[0198] In some processes described in the embodiments of this application, multiple operations or steps are included in a specific order. However, it should be understood that these operations or steps may not be executed in the order they appear in the embodiments of this application, or they may be executed in parallel. The sequence number of the operation is only used to distinguish different operations, and the sequence number itself does not represent any execution order. In addition, these processes may include more or fewer operations, and these operations or steps may be executed sequentially or in parallel, and these operations or steps may be combined.

[0199] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes several instructions to cause a terminal device to execute the methods described in the various embodiments of this application.

[0200] The above are merely preferred embodiments of this application and do not limit the patent scope of this application. Any equivalent structural or procedural transformations made using the content of this application's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of this application.

Claims

1. A method for the combined operation of multiple power generation, capture, and production systems with synergistic electricity and carbon sequestration, characterized in that, The method for the combined operation of multi-electrode power generation, capture, and production with synergistic carbon capture and emission reduction includes: Acquire basic agricultural production data and current seasonal information, and construct a joint operation optimization model based on the basic agricultural production data. The joint operation optimization model takes maximizing agricultural production efficiency as its objective function. The current calorific value of the biomass feedstock is determined based on the current seasonal information, and biomass power generation operation constraints are established based on the current calorific value of the biomass feedstock. Using constraints such as biomass power generation operation, power supply and demand balance, diversified power generation operation, carbon capture operation, fuel preparation, and agricultural production operation as conditions, the joint operation optimization model is solved to obtain the optimal operating parameters of the diversified power generation unit, carbon capture unit, and agricultural production unit. Based on optimal operating parameters, the coordinated operation of multiple power generation units, carbon capture units, and agricultural production units is controlled.

2. The method for combined operation of multi-electrode power generation, capture, and production with synergistic electricity and carbon emissions according to claim 1, characterized in that: The basic agricultural production data includes: the average selling price of agricultural products in each season and time period, the proportion of by-products in agricultural products, the net dry matter increase of crops in each season, the number of days in each season, and the basic load data for each season. The multi-element power generation unit includes: a thermal power generation unit, a photovoltaic power generation unit, a biomass power generation unit, and a methanol combustion power generation unit; The carbon capture unit includes a direct air capture unit and a flue gas carbon capture unit.

3. The method for combined operation of multi-electrode power generation, capture, and production with synergistic electricity and carbon emissions according to claim 2, characterized in that, The objective function is constructed as follows: Based on the average selling price of agricultural products in different seasons and time periods, the proportion of by-products in agricultural products, and the net dry matter increase of crops in different seasons, agricultural production income is calculated as follows: in, Indicates agricultural production income. Indicates season Time period Coal consumption of internal thermal power generation units. This indicates the proportion of by-products in agricultural products. Indicates season The number of consecutive days, Indicates season Average selling price of agricultural products; The calculation of power generation cost is as follows: in, Indicates the cost of electricity generation. Indicates season Time period The output power of the internal thermal power generation unit, This represents the average fuel consumption per unit of electricity generated by a thermal power generation unit. Indicates season The unit price of coal, Indicates season Time period Other basic loads on the internal electrical side, Indicates season Time period Electricity price for internal base load, Indicates a unit of time; The carbon emission cost is calculated as follows: in, Indicates carbon emission costs, This represents the average amount of flue gas emitted per unit of electricity generated. Indicates season Time period The amount of carbon dioxide absorbed by the internal flue gas carbon capture unit. Indicates season Time period The amount of carbon dioxide absorbed by the internal direct air capture unit. This represents the unit cost of treating carbon dioxide emissions. The basic cost of agricultural production is calculated as follows: in, Indicates the basic cost of agricultural production. Indicates the volume of the agricultural greenhouse. This represents the basic operating cost per unit volume of an agricultural greenhouse. An objective function is constructed based on agricultural production revenue, power generation costs, carbon emission costs, and basic agricultural production costs. The objective function is specifically expressed as follows: in, Indicates the entire scheduling cycle Net income from agricultural production within the region Indicates time period Domestic agricultural production income, Indicates time period Internal power generation cost Indicates time period Internal carbon emission costs Indicates time period Domestic agricultural production basic costs.

4. The method for combined operation of multi-electrode power generation, capture, and production with synergistic electricity and carbon emissions according to claim 2, characterized in that: The operational constraints of the biomass power generation unit include: biomass power generation output power constraints and biomass feedstock balance constraints; The multi-generation power generation operation constraints include: thermal power generation unit operation constraints, photovoltaic power generation unit output constraints, and methanol combustion power generation unit operation constraints. The thermal power generation unit operation constraints include start-stop operation constraints, start-up and shutdown frequency constraints, thermal power output power constraints, and ramp-up constraints. The methanol combustion power generation unit operation constraints include methanol combustion power output power constraints and methanol balance constraints. The carbon capture operation constraints include: operation constraints of the flue gas carbon capture unit, operation constraints of the direct air carbon capture system, carbon dioxide balance constraints, and carbon dioxide release constraints; The constraints on agricultural production operations include: agricultural greenhouse thermal balance constraints, temperature control system operation constraints, greenhouse temperature constraints, greenhouse carbon dioxide balance constraints, and crop yield constraints.

5. The method for combined operation of multi-electrode power generation, capture, and production with synergistic electricity and carbon emissions according to claim 4, characterized in that, The process of determining the current calorific value of biomass feedstock based on the current seasonal information and establishing biomass power generation operation constraints based on the current calorific value of biomass feedstock includes: Based on the moisture content data of biomass raw materials in different seasons, biomass raw materials are divided into three calorific value grades: high moisture content, medium moisture content, and low moisture content, and the unit calorific value corresponding to each calorific value grade is determined. The proportion of biomass feedstocks of each calorific value grade is determined based on the current season in order to determine the current calorific value of the biomass feedstocks. Establish biomass power generation operation constraints based on the current calorific value of biomass feedstock; The specific operational constraints of the biomass power generation unit are as follows: in, Indicates season Time period Output power of the endogenous biomass power generation unit Indicates season Time period The total calorific value of the biomass feedstock consumed by the endogenous biomass power generation unit. This indicates the conversion efficiency of the biomass power generation unit. This indicates the maximum output power of the biomass power generation unit; The specific biomass feedstock balance constraint is as follows: in, Indicates season Time period Consumption of endogenous raw materials This indicates the unit calorific value of high-moisture biomass feedstock. Indicates season The proportion of high-water-content biomass feedstock This indicates the unit calorific value of water-containing biomass feedstock. Indicates season The proportion of water-bearing biomass raw materials, This indicates the unit calorific value of low-moisture biomass feedstock. Indicates season The proportion of low-water-content biomass raw materials Indicates season The number of consecutive days, Indicates season Time period Net dry matter increase of crops in agricultural greenhouses. This indicates the proportion of by-products in agricultural products.

6. The method for combined operation of multi-electrode power generation, capture, and production with synergistic electricity and carbon capture as described in claim 5, characterized in that: The specific start / stop operation constraints are as follows: in, Indicates season Time period The start-up operation variable for the internal thermal power generation unit, when set to 1, indicates that a start-up operation is performed. Represents the large M constant. Indicates season Time period The operating status variable of the internal thermal power generation unit is set to 1 to indicate operation and 0 to indicate shutdown. Indicates season Time period Operating state variables of the internal thermal power generation unit; The specific constraints on the number of start-ups and shutdowns are as follows: in, This indicates the maximum number of times a thermal power generation unit can be started per day. Indicates season Time period The shutdown operation variable for the internal thermal power generation unit, when set to 1, indicates that a shutdown operation is performed. This indicates the maximum number of times a thermal power generation unit can be shut down per day; The specific constraints on the output power of thermal power generation are as follows: in, This indicates the lower limit of the output of a thermal power generation unit. Indicates season Time period The output power of the internal thermal power generation unit, This indicates the installed capacity of the thermal power generation unit. This indicates the upper limit of the output of the thermal power generation unit; The specific climbing constraint is as follows: in, Indicates season The maximum ramp rate per unit installed capacity of the thermal power generation unit. Indicates season Time period Output power of the internal thermal power generation unit; The specific output constraint of the photovoltaic power generation unit is as follows: in, Indicates season Time period Output power of the internal photovoltaic power generation unit This indicates the maximum output of the photovoltaic power generation unit. Indicates season Time period Internal average illuminance coefficient; The specific power output constraint for methanol combustion power generation is as follows: in, Indicates season Time period The output power of the internal methanol combustion power generation unit, Indicates season Time period The amount of methanol consumed by the internal methanol combustion power generation unit. This represents the power generation efficiency coefficient of the methanol combustion power generation unit. This indicates the maximum output power of the methanol combustion power generation unit; The methanol balance constraint is specifically as follows: in, Indicates season Time period The amount of methanol prepared internally. Indicates auxiliary time variables, This indicates the last period of a typical day.

7. The method for combined operation of multi-electrode power generation, capture, and production with synergistic carbon capture and emission reduction according to claim 6, characterized in that: The specific operational constraints of the flue gas carbon capture unit are as follows: in, Indicates season Time period The amount of carbon dioxide absorbed by the internal flue gas carbon capture unit. This represents the proportion of carbon dioxide captured by flue gas. This indicates the power consumed by the flue gas carbon capture unit. This represents the energy consumed by the flue gas carbon capture unit to capture one unit of carbon dioxide. The specific operational constraints of the direct air carbon capture system are as follows: in, Indicates season Time period The amount of carbon dioxide absorbed by the internal direct air capture unit. This indicates the amount of carbon dioxide that the direct air capture unit can absorb. Indicates season Time period The power of the internal direct air capture unit in absorbing carbon dioxide. Indicates season Time period Absorption operation status variables of the internal direct air capture unit This indicates the maximum power at which the direct air capture unit absorbs carbon dioxide; The carbon dioxide balance constraint is specifically as follows: in, Indicates season Time period The amount of carbon dioxide released into agricultural greenhouses by the internal direct air carbon capture system. Indicates season Time period Carbon dioxide consumed in the internal preparation of methanol; The carbon dioxide emission constraints are specifically as follows: in, Indicates season Time period The power of inward-facing agricultural greenhouses to release carbon dioxide. Indicates season Time period Release of operating status variables of the internal direct air capture unit This indicates the maximum power at which carbon dioxide is released into agricultural greenhouses. This indicates the amount of carbon dioxide that the direct air capture unit can release.

8. The method for combined operation of multi-electrode power generation, capture, and production with synergistic carbon capture and emission reduction according to claim 7, characterized in that: The specific thermal balance constraint for the agricultural greenhouse is as follows: in, For the volume of the agricultural greenhouse, air density, This indicates the specific heat capacity of air. Indicates season Time period The temperature inside the agricultural greenhouse, Indicates season Time period The temperature inside the agricultural greenhouse, This indicates the heat conduction area of ​​the agricultural greenhouse. Indicates season Time period Internal and external temperatures Indicates season Time period The heat production of crops inside agricultural greenhouses. Indicates season Time period The heating capacity of the temperature control system in the indoor agricultural greenhouse; Indicates season Time period The cooling capacity of the temperature control system in the indoor agricultural greenhouse; The specific operational constraints of the temperature control system are as follows: in, This represents the coefficient of performance (COP) of the temperature control system. This represents the coefficient of performance (COP) of the temperature control system. Indicates season Time period The heating capacity of the temperature control system in the indoor agricultural greenhouse. Indicates season Time period The cooling capacity of the temperature control system in the indoor agricultural greenhouse. Indicates season Time period The heating operation status variables of the temperature control system in the indoor agricultural greenhouse. Indicates season Time period The refrigeration operation status variables of the temperature control system in the indoor agricultural greenhouse. This indicates the maximum operating power of the temperature control system; The greenhouse temperature constraint specifically refers to: in, Indicates season The lower limit of temperature inside agricultural greenhouses. Indicates season The upper limit of temperature inside agricultural greenhouses; The specific carbon dioxide balance constraint for the greenhouse is as follows: in, Indicates season Time period Carbon dioxide concentration inside agricultural greenhouses. Indicates season Time period Carbon dioxide concentration inside agricultural greenhouses. Indicates season Time period The amount of carbon dioxide consumed by crops through photosynthesis inside agricultural greenhouses. Indicates season Time period The amount of carbon dioxide released by crops during respiration inside agricultural greenhouses. Indicates season Time period The lower limit of carbon dioxide concentration inside agricultural greenhouses. They represent the seasons. Time period The upper limit of carbon dioxide concentration inside agricultural greenhouses; The specific crop yield constraints are as follows: in, Indicates season Time period Net dry matter increase of crops in agricultural greenhouses. Indicates season Time period The increase in dry matter from photosynthesis in crops within agricultural greenhouses. Indicates season Time period The amount of dry matter consumed by crops through respiration inside agricultural greenhouses. This represents the temperature decay coefficient of photosynthesis. Indicates temperature difference segments Temperature deviation value, This represents the carbon dioxide production increase coefficient of photosynthesis. This represents the baseline dry matter increment from photosynthesis. Indicates the baseline carbon dioxide concentration. This represents the coefficient indicating the effect of temperature on respiration. This represents the coefficient indicating the effect of carbon dioxide on respiration. The baseline dry matter consumption representing respiration. Indicates the reference temperature. Indicates season Time period The difference between the temperature inside an agricultural greenhouse and the optimal temperature. This indicates the optimal temperature for photosynthesis. Indicates temperature difference segments The lower limit temperature, Indicates temperature difference segments The lower limit temperature, This indicates the last temperature difference segment. Represents a special ordered set constraint; The specific constraints on fuel preparation are as follows: in, Indicates season Time period The power consumed in the production of methanol internally. Indicates season Time period The amount of methanol prepared internally. This indicates the amount of electricity consumed to produce one unit of methanol. This indicates the maximum power required to produce methanol. Indicates the conversion coefficient for the production of methanol from carbon dioxide; The specific constraints on the balance between power supply and demand are as follows: in, Indicates season Time period The output power of the internal methanol combustion power generation unit, Indicates season Time period Other basic loads on the internal electrical side.

9. The method for combined operation of multi-electrode power generation, capture, and production with synergistic carbon capture and emission reduction according to claim 8, characterized in that: Based on seasonal and time-period characteristics, the temperature characteristics, light intensity characteristics, and base load characteristics of each season are input. The objective function is solved under the constraints of power supply and demand balance, multi-generation operation, carbon capture operation, fuel preparation, and agricultural production operation to obtain the optimal output scheme of the multi-generation unit, the optimal operation scheme of the carbon capture unit, and the optimal control scheme of the agricultural production unit. According to the optimal output scheme, the start-stop status and output of each power generation unit in the multi-generation power generation unit are controlled, as well as the power distribution between each power generation unit is controlled. According to the optimal operating scheme, the flue gas carbon capture unit is controlled to capture carbon from the flue gas emitted by the thermal power generation unit, the direct air carbon capture system is controlled to switch between absorption and release states, and the captured carbon dioxide is distributed to fuel preparation and carbon enrichment in agricultural greenhouses. According to the optimal control scheme, the preparation rate of the fuel preparation unit is controlled to prepare the captured carbon dioxide into fuel. The prepared fuel is then stored and supplied to the multi-element power generation unit for power generation. The temperature control system in the agricultural production unit is controlled to switch between heating and cooling states to regulate the temperature inside the greenhouse. At the same time, the amount of carbon dioxide released into the greenhouse by the carbon capture unit is controlled to regulate the carbon dioxide concentration inside the greenhouse, so that the temperature and carbon dioxide concentration inside the greenhouse are kept within a preset range.

10. A multi-electrode power generation, capture, and production integrated operation system for synergistic electricity and carbon emissions, operating based on the multi-electrode power generation, capture, and production integrated operation method for synergistic electricity and carbon emissions as described in any one of claims 1 to 9, characterized in that, The combined operation system for multi-electrode power generation, capture, and production with synergistic carbon capture and distribution includes: Multi-functional power generation units used to provide electricity output include thermal power generation units, photovoltaic power generation units, biomass power generation units, and methanol combustion power generation units; A carbon capture unit for capturing carbon dioxide includes a direct air capture unit and a flue gas carbon capture unit. The flue gas emitted by the thermal power generation unit captures carbon dioxide through the flue gas carbon capture unit, and the direct air capture unit captures carbon dioxide from the atmosphere. A fuel preparation unit is used to prepare fuel from carbon dioxide captured by the carbon capture unit and to supply the prepared fuel to the multi-element power generation unit. An agricultural production unit includes an agricultural greenhouse and a temperature control system and a carbon dioxide release device installed inside the agricultural greenhouse. The biomass by-products produced by the agricultural production unit are supplied to the biomass power generation unit for power generation. In this process, a portion of the carbon dioxide captured by the carbon capture unit is sent into the agricultural greenhouse via the carbon dioxide release device to regulate the carbon dioxide concentration inside the greenhouse, while the other portion is sent into the fuel preparation unit to produce methanol. The produced methanol is then supplied to the methanol combustion power generation system for generating electricity.

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