Electricity-hydrogen-chemical integrated energy management and control method and system

Abstract

The invention discloses an electricity-hydrogen-chemical integrated energy management and control method and system, and the method comprises the steps: collecting the operation data of a wind-solar power storage and generation module, a hydrogen production module, a hydrogen storage module and a chemical production module in real time, and integrating the operation data to a data integration platform; a collaborative optimization algorithm is adopted, and an optimal operation strategy is generated based on the collected operation data and the chemical production plan; according to the generated optimal operation strategy, the operation states of the wind and light storage and power generation module, the hydrogen production module, the hydrogen storage module and the chemical production module are regulated and controlled in real time; and when the operation state is regulated and controlled in real time, time is set in advance according to the prediction data to predict power fluctuation and process parameter change, and a feedforward regulation and control instruction is generated. By means of the scheme, the utilization efficiency of renewable energy sources and the economic benefits of the whole system can be effectively improved, the stability and reliability of system operation are enhanced, and cooperation and optimization of multiple links of wind, light, hydrogen and chemistry are promoted.

Description

TECHNICAL FIELD

[0001] The present application generally relates to the field of renewable energy and coal chemical coupling. More specifically, the present application relates to an electricity-hydrogen-chemical integrated energy management method and system. BACKGROUND

[0002] Coal chemical industry is a key industry to ensure national energy security, but its high carbon emission problem is increasingly prominent. The industry relies on coal gasification to produce hydrogen (gray hydrogen), resulting in a large amount of carbon dioxide emissions, and the imbalance of hydrogen and carbon ratio needs to be solved by high energy consumption water gas shift reaction. The traditional coal chemical system has low energy efficiency and insufficient carbon utilization rate, causing serious pollution to the environment. In addition, the excessive dependence on gray hydrogen is contrary to the global "double carbon" goal, and it is urgent to find a cleaner alternative.

[0003] At the same time, the northwest region of China is rich in wind and light resources, but it is facing a serious "abandoned wind and light" dilemma. The main reasons are the insufficient peak regulation capacity of the power grid and the limitations of energy storage technology. Although hydrogen energy storage technology is highly expected, the existing water electrolysis hydrogen production equipment has slow response speed, large efficiency fluctuation, and high hydrogen storage and transportation cost, which is difficult to meet the demand of large-scale application.

[0004] The existing technical solutions attempt to preliminarily integrate wind and light power generation, hydrogen energy storage and coal chemical industry, but there are many deficiencies. These solutions are difficult to effectively deal with the volatility of renewable energy, cannot completely replace gray hydrogen, and the oxygen utilization method is single, and cannot effectively solve the contradiction between the volatility of wind and light power generation and the continuous production demand of coal chemical industry. Some improved solutions attempt to increase coal hydrogen as a backup hydrogen source, but the economic efficiency is poor, and it is contrary to the low-carbon goal. Some projects have introduced hydrogen storage tanks and power prediction systems, but cannot accurately control the green hydrogen supplement, and also cannot significantly reduce the cost of green hydrogen production and storage, leading to many challenges in the transformation of the coal chemical industry, still facing problems such as electrolysis cell efficiency fluctuation and hydrogen and oxygen cycle not closed loop.

[0005] Therefore, it is urgent to provide an electricity-hydrogen-chemical integrated energy management solution that can overcome the above-mentioned defects to stabilize green hydrogen supply, accurately control hydrogen and carbon ratio, improve the energy efficiency of the whole system, and balance economic efficiency and low carbon emission. SUMMARY

[0006] In order to at least solve one or more of the above-mentioned technical problems, the present application proposes an electricity-hydrogen-chemical integrated energy management solution in multiple aspects.

[0007] In a first aspect, the application provides an integrated energy management method for electricity-hydrogen, comprising: collecting operation data of a wind-solar-storage power generation module, a hydrogen production module, a hydrogen storage module and a chemical production module in real time, and integrating the operation data into a data integration platform, wherein the operation data includes wind-solar output, hydrogen storage state and chemical load; generating an optimal operation strategy based on the collected operation data and a chemical production plan using a collaborative optimization algorithm; real-time regulating the operation state of the wind-solar-storage power generation module, the hydrogen production module, the hydrogen storage module and the chemical production module according to the generated optimal operation strategy; while real-time regulating the operation state of the wind-solar-storage power generation module, the hydrogen production module, the hydrogen storage module and the chemical production module, predicting power fluctuation and process parameter changes in advance to generate feedforward control instructions.

[0008] In some embodiments, the wind-solar-storage power generation module determines the capacity ratio through optimized configuration, the generated green electricity is preferentially supplied to the wind-solar-storage power station for self-use, and the remaining electricity is input to the hydrogen production module; when the hydrogen production module is full, the remaining green electricity is distributed to the public network or standby equipment according to a preset ratio, thereby maximizing the green electricity consumption rate.

[0009] In some embodiments, during the wind-solar output, it is determined whether the ratio of wind-solar output to total system load is greater than or equal to a first percentage or less than a second percentage; in response to the ratio of wind-solar output to total system load being greater than or equal to the first percentage, the electricity consumption mode of the coal chemical self-provided power plant in the chemical production module is controlled, so that the ratio of chemical load to total system load is less than or equal to a third percentage; in response to the ratio of wind-solar output to total system load being less than the second percentage, the electricity consumption mode of the coal chemical self-provided power plant in the chemical production module is controlled, so that the ratio of chemical load to total system load is a fourth percentage.

[0010] In some embodiments, the hydrogen production module converts green electricity into green hydrogen and green oxygen, dynamically adjusts the operation state of the electrolyzer group in the hydrogen production module according to the output of the wind-solar-storage power generation module during the conversion process, and monitors the concentration of green hydrogen in green oxygen and performs interlock protection, wherein the hydrogen production module compresses the green oxygen generated during the conversion process and supplies it back to the coal gasification device in the chemical production module, replaces part of the load of the air separation device in the chemical production module, or supplies the coal chemical self-provided power plant in the chemical production module for oxygen-enriched combustion.

[0011] In some embodiments, the oxygen generated by the air separation device in the chemical production module is used as the carrier gas for the pulverized coal delivered to the coal gasification device in the chemical production module.

[0012] In some embodiments, the green hydrogen is injected into a synthetic ammonia and urea device in the chemical production module, mixed with nitrogen generated by the air separation device according to a set molar ratio after being compressed to a set pressure, and then enters an ammonia synthesis loop to generate ammonia through an ammonia synthesis reaction.

[0013] In some embodiments, carbon dioxide is captured from tail gas generated by a coal gasification device, and the captured carbon dioxide is reacted with the ammonia to produce urea.

[0014] In some embodiments, in the process of generating an optimal operation strategy based on collected operation data and chemical production plans using a collaborative optimization algorithm, the optimal operation strategy is obtained through an objective function and a constraint condition; wherein the objective function is: f = min (αC 碳排 + βC 能耗 + γC 成本 ), C 碳排 is the total system carbon emission, C 能耗 is the comprehensive energy consumption, C 成本 is the operating cost; the constraint condition is: r 氢碳 is the hydrogen-carbon ratio, P u oxygen is the oxygen purity, Po 储氢罐 is the pressure of the hydrogen storage tank.

[0015] In some embodiments, in the process of generating a feedforward control instruction, the following steps are performed: obtaining operation deviation results of the wind-solar-storage power generation module, the hydrogen production module, the hydrogen storage module, and the chemical production module according to the predicted power fluctuation, the predicted process parameter change, the operation data of the wind-solar-storage power generation module, the operation data of the hydrogen production module, the operation data of the hydrogen storage module, and the operation data of the chemical production module; obtaining a preventive response strategy based on the operation deviation results through an objective function and a constraint condition; and decomposing the preventive response strategy into a feedforward control instruction.

[0016] In a second aspect, the present application provides an electricity-hydrogen-hydrogenation integrated energy management system, which adopts the electricity-hydrogen-hydrogenation integrated energy management method of any one of the embodiments of the first aspect to manage electricity-hydrogen-hydrogenation integrated energy, and comprises: a wind-solar-storage power generation module for providing green electricity; a hydrogen production module for converting green electricity into green hydrogen and green oxygen; a hydrogen storage module for storing and regulating green hydrogen; a chemical production module for producing chemical products using green hydrogen, green oxygen and coal-based raw materials; and an intelligent control module, which comprises a data integration platform and a collaborative optimization algorithm module; wherein the data integration platform is configured to collect operation data of the wind-solar-storage power generation module, the hydrogen production module, the hydrogen storage module and the chemical production module in real time; the collaborative optimization algorithm module is configured to generate an optimal operation strategy based on the collected operation data and a chemical production plan, and to control the operation states of the wind-solar-storage power generation module, the hydrogen production module, the hydrogen storage module and the chemical production module in real time according to the generated optimal operation strategy, and to generate a feedforward control instruction by predicting power fluctuations and process parameter changes in advance at a set time according to prediction data while controlling the operation states of the wind-solar-storage power generation module, the hydrogen production module, the hydrogen storage module and the chemical production module in real time.

[0017] Through the electricity-hydrogen-hydrogenation integrated energy management scheme provided above, the embodiments of the present application realize intelligent and fine closed-loop regulation of the whole process of wind-solar-storage power generation, water electrolysis hydrogen production, hydrogen storage and chemical production by real-time data collection and integration combined with a collaborative optimization algorithm. It not only generates and executes an optimal operation strategy according to real-time data and prediction information, but also predicts potential power fluctuations and process parameter changes in advance for preventive control. It can effectively improve the utilization efficiency of renewable energy and the economic benefits of the whole system, enhance the stability and reliability of system operation, promote the collaboration and optimization of wind, light, hydrogen and chemical multi-links, and ultimately help related industries achieve more efficient, intelligent and green operation and development.

[0018] Further, in some embodiments, the maximum utilization of green electricity is realized by optimizing the capacity ratio of the wind-solar-storage power generation module and establishing a green electricity hierarchical priority consumption mechanism. At the same time, according to the real-time ratio of wind and light output to total system load, the electricity consumption mode of the coal chemical power plant is dynamically regulated to intelligently match the energy consumption of chemical production with the green electricity supply. This greatly improves the local consumption rate of green power and effectively reduces the phenomenon of curtailed wind and light. At the same time, when there is abundant green electricity, the chemical production is guided to use more green electricity, thereby reducing carbon emissions and operating costs. In addition, through flexible adjustment of chemical load, the flexibility and friendliness of the entire energy system to the power grid are improved, and the stability of chemical production can also be ensured when there is insufficient green electricity. This fine energy management method of source-load collaboration effectively promotes the optimization of energy allocation and the improvement of overall economic benefits.

[0019] Further, in some embodiments, green hydrogen and green oxygen are produced by efficiently utilizing green electricity to dynamically regulate the hydrogen process, and safety monitoring and protection are performed. By recycling the green oxygen produced by electrolysis, the coal gasification device in the chemical production (replacing part of the air separation load) or the coal chemical self-provided power plant is supplied, while the application of oxygen produced by the traditional air separation device as a carrier gas in coal gasification is optimized. The green hydrogen produced is used as a chemical raw material, mixed with nitrogen produced by the air separation device in proportion, and used for the synthesis of ammonia, and further used to produce urea by reacting carbon dioxide captured from the tail gas of the coal gasification device with ammonia. The production process of chemical raw materials (hydrogen, oxygen, nitrogen) and products (ammonia, urea) is green and low-carbon, effectively reducing the dependence on fossil energy and carbon emissions. At the same time, through the recycling of by-products (such as electrolytic oxygen and carbon dioxide in the tail gas of coal gasification) and internal resource integration (such as the optimized use of air separation oxygen), the atomic economy, energy efficiency and resource comprehensive utilization level are greatly improved. Then, the system integration and collaborative optimization of renewable energy hydrogen production, modern coal chemical industry, synthetic ammonia and urea production, etc. are deepened, and the overall benefit and industrial chain resilience of the entire electricity-hydrogen-chemical integrated system are enhanced. In addition, through dynamic regulation and safety interlocking design, the flexibility and safety of system operation are ensured.

[0020] Further, in some embodiments, a multi-objective optimization function aiming to minimize the total carbon emissions, comprehensive energy consumption and operating costs of the system is used, and under the condition of meeting constraints such as hydrogen-carbon ratio, oxygen purity, hydrogen storage tank pressure, etc., the collected operation data, wind and light prediction, hydrogen storage scheduling and chemical production plan are comprehensively utilized to scientifically generate optimal operation strategies. Based on the predicted power fluctuations and process parameter changes, combined with the actual operation deviation of each module, the preventive response strategies are calculated in advance using the same objective function and constraints, and they are decomposed into specific feedforward control instructions. This ensures that the system not only pursues a single target, but also considers the comprehensive optimization of economic benefit (low cost), environmental benefit (low carbon emission) and energy efficiency (low energy consumption).

[0021] Through strict constraints, it is ensured that the system always meets the basic requirements of production process (such as hydrogen-carbon ratio, oxygen purity) and equipment safety (such as hydrogen storage tank pressure) while optimizing operation. Based on data-driven and algorithmic models, the formulation of operation strategies is more scientific, quantitative and accurate, and it is free from traditional experience dependence. By introducing predictive data and generating feedforward control instructions, the system can respond to potential disturbances and fluctuations in advance, effectively reducing the adverse effects of operation deviation, and significantly improving the stability and adaptability to external changes of the system. The preventive strategies are decomposed into specific instructions, which provide a basis for achieving more precise and proactive closed-loop control, and help to maintain the system in an efficient, economic and green operation state. BRIEF DESCRIPTION OF DRAWINGS

[0022] The above and other objects, features and advantages of the present application will become more apparent from the following detailed description read in conjunction with the accompanying drawings, in which:

[0023] Figure 1 An exemplary flowchart of the electricity-hydrogen-harmonization integrated energy management method of the embodiments of the present application is shown;

[0024] Figure 2 An exemplary flowchart of generating feedforward control instructions of the embodiments of the present application is shown;

[0025] Figure 3 An exemplary structural block diagram of the electricity-hydrogen-harmonization integrated energy management system of the embodiments of the present application is shown. DETAILED DESCRIPTION

[0026] The technical solutions in the embodiments of the present application will be apparently and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are some embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all the other embodiments obtained by a person skilled in the art without any creative work fall within the protection scope of the present application.

[0027] It should be understood that the terms “comprising” and “including” used in the specification and claims of the present application indicate the presence of the described features, integers, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and / or groups thereof.

[0028] It should also be understood that the terms used in the specification of the present application are only for the purpose of describing specific embodiments, and are not intended to limit the present application. As used in the specification and claims of the present application, the singular forms “a”, “an” and “the” are intended to include the plural forms, unless the context clearly indicates otherwise. It should be further understood that the term “and / or” used in the specification and claims of the present application means any combination of one or more of the associated listed items and all possible combinations thereof, and includes these combinations.

[0029] Figure 1 An exemplary flowchart of the electricity-hydrogen-harmonization integrated energy management method 100 of the embodiments of the present application is shown.

[0030] As Figure 1As shown, in step S110, the operation data of the wind-solar-storage power generation module, the hydrogen production module, the hydrogen storage module and the chemical production module are collected in real time, and the operation data is integrated into the data integration platform.

[0031] In the embodiments of the present application, the operation data includes wind-solar output, hydrogen storage state, chemical load, etc.

[0032] In the embodiments of the present application, the wind-solar-storage power generation module determines the capacity ratio through optimized configuration, the generated green electricity is preferentially supplied to the wind-solar-storage power station for self-use, the remaining electricity is input to the hydrogen production module, when the hydrogen production module is full, the remaining green electricity is distributed to the public network or standby equipment according to a preset ratio, thereby maximizing the green electricity consumption rate.

[0033] Specifically, the output characteristics of wind power generation and photovoltaic power generation both have temporal fluctuations. For example, photovoltaic power generation mainly outputs during the day when there is sunlight, while wind power generation may be stronger at night or in certain seasons.

[0034] Specifically, wind power generation and photovoltaic power generation often have a certain complementarity in output time. For example, photovoltaic power generation has high output during the day when the light is strong, and wind power generation has high output at night or on windy days.

[0035] Specifically, in the process of determining the capacity ratio through optimized configuration, according to the output characteristics that wind power generation and photovoltaic power generation both have temporal fluctuations and the complementarity of wind power generation and photovoltaic power generation in output time, combined with specific meteorological resources (long-term wind speed data, light data), system load demand characteristics, through scientific calculation and optimization model, it is determined that how many megawatts of wind power generation equipment and how many megawatts of photovoltaic power generation equipment are the most reasonable proportion.

[0036] Through this optimized capacity ratio, the total output of wind power and photovoltaic power is as stable as possible at different time periods (within a day, between seasons), reducing the extreme situation that both have very low or very high output at the same time, thereby forming a relatively stable and continuous green power basic supply.

[0037] Optimizing the capacity ratio and dynamic power distribution maximizes the green electricity consumption rate. High green electricity consumption rate means efficient use of green energy, reducing energy waste and improving the economic and environmental benefits of the project. This enables the entire coupled system (such as coal chemical industry, hydrogen production, etc.) to obtain more stable, reliable and higher proportion of green power supply, thereby reducing the dependence on traditional fossil energy power and achieving low-carbon or zero-carbon operation of the system.

[0038] By optimizing the capacity ratio of the wind-solar-storage power generation module scientifically, the output timing of the wind-solar-storage power generation module can be complementary, and a clear green electricity priority use rule is established: first, meet the internal storage, then supply water electrolysis to produce hydrogen, and finally, the excess part is put on the network or used for backup, so as to ensure that green power is used to the greatest extent. This significantly improves the consumption rate of green electricity and effectively avoids energy waste. At the same time, by prioritizing internal high-value applications, the economic benefits and energy self-sufficiency of the system are improved. In addition, it also promotes the synergistic complementation and system integration of wind, light, storage, hydrogen and other energy forms, and brings significant environmental benefits due to the maximization of clean energy utilization.

[0039] In the embodiments of the present application, during the process of wind-solar output, it is determined whether the ratio of wind-solar output to system total load is greater than or equal to a first percentage or less than a second percentage. In response to the ratio of wind-solar output to system total load being greater than or equal to the first percentage, the power consumption mode of the coal chemical self-provided power plant in the chemical production module is controlled, so that the ratio of chemical load to system total load is less than or equal to a third percentage. In response to the ratio of wind-solar output to system total load being less than the second percentage, the power consumption mode of the coal chemical self-provided power plant in the chemical production module is controlled, so that the ratio of chemical load to system total load is a fourth percentage.

[0040] In some embodiments of the present application, the values of the first percentage, the second percentage, the third percentage and the fourth percentage are 80%, 50%, 20% and 80% respectively. In other embodiments of the present application, the values of the first percentage, the second percentage, the third percentage and the fourth percentage can also be specifically set according to actual needs and historical experience, which are not limited in the present application.

[0041] Through the synergistic process of the wind-solar-storage power generation module and the coal chemical self-provided power plant, when the wind-solar output is very sufficient (for example, reaching 80% or more of the system total load), the system will actively control the coal chemical self-provided power plant, so that the load of chemical production is maintained at a low level (for example, not more than 20% of the system total load). When the wind-solar output is insufficient (for example, less than 50% of the system total load), the system will control the coal chemical self-provided power plant, so that the load of chemical production can be increased to a high level (for example, reaching 80% of the system total load).

[0042] When the renewable energy output is high, reducing the chemical load creates space for the grid to absorb more green power, reducing the phenomenon of abandoned wind and light, and improving the overall utilization rate of renewable energy. When the renewable energy output is insufficient, the chemical load (through the self-provided power plant) is allowed to maintain a high level, ensuring the continuity and stability of chemical production and avoiding production interruptions due to insufficient energy supply. The chemical load becomes a kind of adjustable "virtual energy storage" or demand-side response resource, which helps to smooth the volatility of renewable energy and improve the operational flexibility of the entire energy system. At the same time, by prioritizing the use of low-cost green power (when it is sufficient) and combining the economic operation of the self-provided power plant, the overall energy cost can be optimized. This breaks the traditional "source follows load" mode, realizes intelligent interaction between the power generation side and the power consumption side, and makes the load actively adapt to the change of the power source, which is crucial for building a new type of power system.

[0043] In the embodiments of the present application, the hydrogen production module converts green electricity into green hydrogen and green oxygen, dynamically adjusts the operating state of the electrolytic cell group in the hydrogen production module according to the wind and light output of the wind and light storage power generation module during the conversion process, and monitors the concentration of green hydrogen in green oxygen and interlocks protection, wherein the hydrogen production module compresses the green oxygen in the conversion process and supplies it back to the coal gasification device in the chemical production module, and replaces part of the load of the air separation device in the chemical production module or supplies the coal chemical self-provided power plant in the chemical production module for oxygen-enriched combustion.

[0044] Specifically, the green electricity is converted into green hydrogen and green oxygen by using alkaline water electrolysis technology. By passing an electric current through an alkaline solution (such as potassium hydroxide solution), water is decomposed into hydrogen and oxygen. And in the process of electrolyzing water, mine wastewater and reclaimed water are used preferentially. These mine wastewater and reclaimed water are further purified before use to meet the water quality requirements of electrolytic equipment. This not only protects the environment but also saves fresh water resources.

[0045] Specifically, the hydrogen production module compresses the green oxygen in the conversion process and supplies it back to the coal gasification device in the chemical production module to react with coal to generate synthesis gas.

[0046] Specifically, the traditional coal chemical plant usually uses an air separation device to separate oxygen from air, which is a very energy-consuming process. By providing part of the demand for green oxygen produced by electrolysis, the operating load of the air separation device can be reduced, thereby saving energy.

[0047] Specifically, the green oxygen produced by electrolysis is low-pressure oxygen (0.8MPa-1.2MPa), and supplying the green oxygen produced by electrolysis to the boiler of the coal chemical self-provided power plant for oxygen-enriched combustion can improve the combustion efficiency, make the fuel burn more fully, increase the flame temperature, thereby reducing fuel consumption and possibly reducing the emission of certain pollutants (such as nitrogen oxides).

[0048] In the embodiments of the present application, in the process of dynamically adjusting the operating state of the electrolyzer group in the wind-solar power output dynamic adjustment hydrogen production module according to the wind-solar power generation module, the size of the electric power input into each electrolyzer in the electrolyzer group is adjusted in real time according to the amount of green power currently available, and the start or stop of part of the electrolyzers in the electrolyzer group is adjusted. In this way, it can be ensured that when green power is sufficient, hydrogen production is maximized. When the power is insufficient, the amount of hydrogen production is correspondingly reduced (or relying on stored hydrogen), avoiding energy waste, while also helping to balance the load of the power grid.

[0049] In the embodiments of the present application, in the process of monitoring and interlocking protection of the green hydrogen concentration in green oxygen, a sensor is installed in the generated green oxygen pipeline to continuously monitor whether hydrogen gas has been mixed in. If the hydrogen concentration in the oxygen exceeds the preset safety upper limit, an automatic safety system (interlocking device) will be triggered. This system will automatically take protective measures, such as immediately stopping the electrolyzer operation, safely venting the mixed gas, issuing an alarm, etc.

[0050] Through the above settings, the hydrogen production module is not only a simple green hydrogen production unit, but also an intelligent and green system that integrates dynamic energy regulation, byproduct resource utilization, water resource recycling, and safety production guarantee. It can flexibly regulate the operating state of the electrolyzer group according to the real-time fluctuations of wind-solar power output, and can convert the byproduct green oxygen, which is often ignored in traditional processes, into high-value production raw materials. It also prioritizes the use of treated wastewater for production, while providing key safety interlocking protection mechanisms. By dynamically adjusting the electrolyzer, it ensures that wind-solar power is fully utilized when the power is sufficient, maximizes the consumption of intermittent renewable energy, and helps balance the load of the power grid. Through the deep resource utilization of the byproduct green oxygen, on the one hand, it supplies green oxygen to the coal gasification device, replacing part of the traditional high-energy air separation device, directly saving a large amount of energy. On the other hand, it supplies oxygen-enriched combustion to the self-contained power plant, improving fuel efficiency and reducing fuel consumption. By prioritizing the use of treated mine wastewater and recycled water as the hydrogen production water source, it greatly saves valuable freshwater resources and reduces pollutant emissions, achieving water resource recycling and embodying the green and environmentally friendly concept. By monitoring and interlocking protection of the green hydrogen concentration mixed in green oxygen in real time, a proactive safety line is established, providing key protection for the safe and stable operation of the highly coupled system, effectively preventing potential risks.

[0051] In the embodiments of the present application, the hydrogen storage module serves as a buffer for green hydrogen supply, and is configured with a multi-stage high-pressure hydrogen storage system to ensure continuous hydrogen supply capability, and liquid hydrogen or hydrogen storage alloy as a backup hydrogen source. The ground flare system is used to harmlessly treat non-consumable hydrogen gas, and the excess hydrogen gas is used for chemical production, gas power generation, or sold externally, improving the economic efficiency of the system and ensuring stable supply and multiple utilization of green hydrogen.

[0052] In the embodiments of the present application, the oxygen produced by the air separation device in the chemical production module is used as the carrier gas for the pulverized coal delivered to the coal gasification device in the chemical production module. Specifically, the oxygen produced by the air separation device is pressurized to 3.0-3.5 MPa to form high-pressure oxygen, and the high-pressure oxygen is used as the carrier gas to deliver the pulverized coal to the reaction furnace of the coal gasification device.

[0053] The oxygen produced by the air separation device and the green oxygen produced by electrolysis constitute an optimized dual-oxygen supply system, which grades, separates and distributes oxygen of different sources and different characteristics as needed to maximize energy efficiency and optimize costs of the entire coal gasification process unit. The compression of oxygen from low pressure to high pressure is a very energy-consuming process. The low-pressure green oxygen produced by the electrolysis of water is directly used for combustion support in the burner with low pressure requirement, thereby avoiding the huge power consumption caused by the compression of the green oxygen to high pressure. The link that must use high-pressure oxygen is taken care of by the traditional air separation device with higher energy efficiency. This directly and significantly reduces the operating cost of the system

[0054] In the embodiments of the present application, the green hydrogen is injected into the synthetic ammonia and urea device in the chemical production module, compressed to a set pressure, mixed with nitrogen produced by the air separation device at a set molar ratio, and then enters the ammonia synthesis loop to generate ammonia through ammonia synthesis reaction.

[0055] In some embodiments of the present application, the green hydrogen is compressed to 18 MPa. In other embodiments of the present application, the green hydrogen can also be compressed according to actual needs, which is not limited in the present application.

[0056] In some embodiments of the present application, the molar ratio between the compressed green hydrogen and the nitrogen produced by the air separation device is 3:1. In other embodiments of the present application, the molar ratio between the compressed green hydrogen and the nitrogen produced by the air separation device can also be set according to actual needs, which is not limited in the present application.

[0057] In some embodiments of the present application, the mixed hydrogen-nitrogen gas enters the ammonia synthesis loop, and in the ammonia synthesis tower designed for radial flow, iron-based catalyst is used for reaction to generate ammonia. Through dynamic control (accuracy ±0.1) of the hydrogen-nitrogen ratio in the circulating gas, it is strived to make the single-pass conversion rate reach or exceed 25%.

[0058] In the embodiments of the present application, the unreacted nitrogen from the ammonia synthesis section is purified and then returned to the air separation device, reducing the amount of fresh nitrogen preparation by 30%-40%.

[0059] In the embodiments of the present application, carbon dioxide is captured from the tail gas produced by the coal gasification device, and the captured carbon dioxide is reacted with ammonia to produce urea.

[0060] In the embodiments of the present application, the amine absorption technology is used to capture carbon dioxide from the tail gas generated by the coal gasification device. The capture efficiency of the amine absorption technology is high, which can reach more than 90%, thereby obtaining high-purity carbon dioxide required for production.

[0061] In the process of reacting the captured carbon dioxide with ammonia to produce urea, the captured high-purity carbon dioxide is reacted with green ammonia in a urea synthesis tower, and the reaction is carried out under specific process conditions, that is, the pressure is maintained at 14 MPa-16 MPa, and the temperature is controlled at 180℃-200℃, and finally urea product is generated.

[0062] By reacting the captured high-purity carbon dioxide with green ammonia in a urea synthesis tower, a closed-loop process of resource recycling is formed, and the hydrogen consumption per ton of urea is ≤600 Nm 3 , achieving the effect of energy saving and emission reduction.

[0063] After step S110 is performed, in step S120, an optimal operation strategy is generated based on the collected operation data and the chemical production plan by using a collaborative optimization algorithm.

[0064] In the embodiments of the present application, in the process of generating an optimal operation strategy based on collected operation data and a chemical production plan by using a collaborative optimization algorithm, the optimal operation strategy is obtained through an objective function and a constraint condition.

[0065] Specifically, the objective function is: f = min (αC 碳排 + βC 能耗 + γC 成本 ), C 碳排 is the total carbon emission of the system, C 能耗 is the comprehensive energy consumption, C 成本 is the operating cost.

[0066] In some embodiments of the present application, α: β: γ = 5: 3: 2. In other embodiments of the present application, α, β and γ can also be set according to actual needs, which are not limited herein.

[0067] Specifically, the constraint condition is: r 氢碳 is the hydrogen-carbon ratio, P u oxygen is the oxygen purity, Po 储氢罐 is the pressure of the hydrogen storage tank.

[0068] In some embodiments of the present application, the values of a, b, c and d are 2.0, 2.2, 99.5% and 3.5 MPa, respectively. In other embodiments of the present application, a, b, c and d can also be set according to actual needs, which are not limited herein.

[0069] In the embodiments of the present application, the chemical production plan includes the output requirement of target chemical products (methanol, urea, synthetic ammonia, etc.), the demand rate of raw materials such as hydrogen and oxygen, and the requirement for synthesis gas components (especially the hydrogen-carbon ratio).

[0070] In the embodiments of the present application, the parameters affecting the total carbon emission C 碳排 , the comprehensive energy consumption C 能耗 , and the operating cost C 成本 of the system are taken as decision variables, and a set of decision variables that satisfy the objective function and the constraint condition are obtained as the optimal operation strategy. For example, the parameters affecting the total carbon emission C 碳排 , the comprehensive energy consumption C 能耗 , and the operating cost C 成本 include the start-stop state and the operation power of the hydrogen production module, the amount of green hydrogen produced and distributed to the hydrogen storage tank, the amount of green hydrogen produced and supplied to the chemical production module, the amount of hydrogen taken from the hydrogen storage tank and supplied to the chemical production module, the operation load of the air separation device, the production rate and process parameters of the chemical production module, etc.

[0071] After step S120 is performed, in step S130, the operation states of the wind-solar-storage power generation module, the hydrogen production module, the hydrogen storage module, and the chemical production module are real-time regulated according to the generated optimal operation strategy.

[0072] In the embodiments of the present application, after the optimal operation strategy is generated, it is immediately converted into specific control instructions, which are accurately passed down to the controllers of each module in the edge layer through the industrial internet platform of the platform layer for real-time regulation. Specifically, the operation states of the wind-solar-storage power generation module include the charging and discharging power state, the power distribution state, etc. The operation state numbers of the hydrogen production module include the hydrogen production rate, the equipment start-stop state, etc. The operation states of the hydrogen storage module include the hydrogen flow state, etc. The operation states of the chemical production module include the production load state, the process parameters, etc.

[0073] While step S130 is performed, in step S140, the power fluctuation and process parameter changes are predicted in advance according to the prediction data, and the feedforward regulation instructions are generated while the operation states of the wind-solar-storage power generation module, the hydrogen production module, the hydrogen storage module, and the chemical production module are real-time regulated.

[0074] In the embodiments of the present application, the setting time can be set according to actual needs, which is not limited in the present application. For example, in some embodiments, the setting time is 15 minutes.

[0075] In the embodiments of the present application, the specific process involved in generating the feedforward regulation instructions can be referred to Figure 2 .

[0076] Figure 2An exemplary flowchart of generating the feedforward control instruction according to an embodiment of the present application is shown.

[0077] As shown in Figure 2 In step S210, the operation deviation results of the wind-solar-storage power generation module, the hydrogen production module, the hydrogen storage module and the chemical production module are obtained according to the predicted power fluctuation, the predicted process parameter change, the operation data of the wind-solar-storage power generation module, the operation data of the hydrogen production module, the operation data of the hydrogen storage module and the operation data of the chemical production module. In step S220, the preventive coping strategy is obtained based on the operation deviation results, the objective function and the constraint condition. In step S230, the preventive coping strategy is decomposed into the feedforward control instruction.

[0078] In an embodiment of the present application, first, based on the operation deviation results, the controllable variables are obtained and taken as the prediction data, for example, the controllable variables include the start-stop and power of the electrolytic cell, the hydrogen charging and discharging rate of the hydrogen storage tank, the purchased power, the production load adjustment range of the chemical production module, etc. Then, the controllable variables are taken as the decision variables, and the preventive coping strategy is obtained based on the objective function and the constraint condition.

[0079] Specifically, the feedforward control instruction specifies the execution object (for example, the wind-solar-storage power generation module, the hydrogen production module, the hydrogen storage module, the chemical production module), the control parameter (such as power, flow, valve opening), the target value, the accurate time point of execution or the trigger condition, and the expected duration or completion status.

[0080] In summary, through the electricity-hydrogen-chemical integrated energy management and control scheme provided above, the embodiments of the present application realize intelligent and fine closed-loop regulation and control of the whole process of wind-solar-storage power generation, water electrolysis hydrogen production, hydrogen storage and chemical production through real-time data acquisition and integration combined with collaborative optimization algorithm. It not only can generate and execute the optimal operation strategy according to real-time data and prediction information, but also can predict potential power fluctuation and process parameter change in advance and perform preventive control. It can effectively improve the utilization efficiency of renewable energy and the economic benefit of the whole system, enhance the stability and reliability of system operation, promote the collaboration and optimization of wind, light, hydrogen and chemical multi-links, and finally help related industries to realize more efficient, more intelligent and more green operation and development.

[0081] Further, in some embodiments, by optimizing the capacity ratio of wind-solar-storage power generation modules and establishing a green electricity hierarchical priority consumption mechanism, the maximization of green electricity utilization is achieved. At the same time, according to the real-time ratio of wind-solar output and total system load, the electricity consumption mode of the coal chemical industry self-provided power plant is dynamically regulated, so that the energy consumption of chemical production and the green electricity supply condition are intelligently matched. This greatly improves the local consumption rate of green electricity and effectively reduces the phenomenon of curtailment of wind and solar power. At the same time, when there is abundant green electricity, it guides the chemical production to use more green electricity, thereby reducing carbon emissions and operating costs. In addition, through the flexible adjustment of chemical load, the flexibility and friendliness of the entire energy system to the power grid are improved, and the stability of chemical production can also be guaranteed when there is insufficient green electricity. This fine energy management mode of source-load coordination effectively promotes the optimization of energy allocation and the improvement of overall economic benefits.

[0082] Further, in some embodiments, by efficiently utilizing green electricity to dynamically regulate the hydrogen process, green hydrogen and green oxygen are produced, and safety monitoring and protection are performed. By recycling the green oxygen produced by electrolysis as a resource, it is supplied back to the coal gasification device in chemical production (replacing part of the air separation load) or the coal chemical industry self-provided power plant, while optimizing the application of oxygen produced by traditional air separation devices as a carrier gas in coal gasification. And the green hydrogen produced is used as a chemical raw material, mixed with nitrogen produced by the air separation device in proportion to synthesize ammonia, and further using the carbon dioxide captured from the tail gas of the coal gasification device to react with ammonia to produce urea. The green and low-carbon production process of chemical raw materials (hydrogen, oxygen, nitrogen) and products (ammonia, urea) is realized, effectively reducing the dependence on fossil energy and carbon emissions. At the same time, through the recycling of by-products (such as electrolytic oxygen and carbon dioxide in coal gasification tail gas) and internal resource integration (such as the optimized use of air separation oxygen), the atomic economy, energy efficiency and resource comprehensive utilization level are greatly improved. Then, the system integration and collaborative optimization of renewable energy hydrogen production, modern coal chemical industry, synthetic ammonia and urea production, etc. are deepened, and the overall benefits and industry chain resilience of the entire electricity-hydrogen-chemical integrated system are enhanced. In addition, through dynamic regulation and safety interlocking design, the flexibility and safety of system operation are ensured.

[0083] Further, in some embodiments, by a multi-objective optimization function aiming to minimize the total system carbon emissions, comprehensive energy consumption and operating costs, and under the condition of meeting constraints such as hydrogen-carbon ratio, oxygen purity, hydrogen storage tank pressure, etc., the collected operation data, wind-solar prediction, hydrogen storage scheduling and chemical production plan are comprehensively utilized to scientifically generate optimal operation strategies. Based on the predicted power fluctuations and process parameter changes, combined with the actual operation deviation of each module, the same objective function and constraint conditions are used to calculate preventive response strategies in advance, and they are decomposed into specific feedforward control instructions. This ensures that the system operation not only pursues a single goal, but also takes into account the comprehensive optimization of economic benefits (low cost), environmental benefits (low carbon emissions) and energy efficiency (low energy consumption).

[0084] Through strict constraint conditions, it is ensured that the system always meets the basic requirements of production process (such as hydrogen-carbon ratio, oxygen purity) and equipment safety (such as hydrogen storage tank pressure) while optimizing operation. Based on data-driven and algorithmic models, the development of operation strategies is more scientific, quantitative and accurate, and is free from traditional experience dependence. By introducing predictive data and generating feedforward control instructions, the system can respond to potential disturbances and fluctuations in advance, effectively reducing the adverse effects of operation deviation, and significantly improving the stability and adaptability to external changes of the system. Decomposing preventive strategies into specific instructions provides a foundation for achieving more fine and active closed-loop control, which helps to maintain the system in a state of high efficiency, economy and greenness.

[0085] The embodiments of the present application also provide an electricity-hydrogen-chemical integration energy management and control system, which can use the electricity-hydrogen-chemical integration energy management and control method 100 described above to manage and control electricity-hydrogen-chemical integration energy, or use other methods to manage and control electricity-hydrogen-chemical integration energy, which is not limited in the present application.

[0086] Figure 3 An exemplary structural block diagram of the electricity-hydrogen-chemical integration energy management and control system of the embodiments of the present application is shown

[0087] As shown in Figure 3 The system 300 includes a wind-solar storage and power generation module 310, a hydrogen production module 320, a hydrogen storage module 330, a chemical production module 340 and an intelligent control module 350.

[0088] Specifically, the wind-solar storage and power generation module 310 is used to provide green electricity.

[0089] Specifically, the hydrogen production module 320 is used to convert green electricity into green hydrogen and green oxygen.

[0090] Specifically, the hydrogen storage module 330 is used to store and regulate green hydrogen.

[0091] Specifically, the chemical production module 340 is configured to produce chemical products by using green hydrogen, green oxygen and coal-based raw materials.

[0092] Specifically, the intelligent regulation module 350 includes a data integration platform 351 and a collaborative optimization algorithm module 352. The data integration platform 351 is configured to collect operation data of the wind-solar-storage power generation module 310, the hydrogen production module 320, the hydrogen storage module 330 and the chemical production module 340 in real time. The collaborative optimization algorithm module 352 is configured to generate an optimal operation strategy based on the collected operation data, wind-solar prediction, hydrogen storage energy scheduling and chemical production plan, and to regulate the operation states of the wind-solar-storage power generation module 310, the hydrogen production module 320, the hydrogen storage module 330 and the chemical production module 340 in real time according to the generated optimal operation strategy, and to generate feedforward control instructions by predicting power fluctuations and process parameter changes in advance according to the predicted data while regulating the operation states of the wind-solar-storage power generation module 310, the hydrogen production module 320, the hydrogen storage module 330 and the chemical production module 340 in real time.

[0093] When the system 300 adopts the aforementioned integrated electric-hydrogen-chemical energy management method 100 to perform integrated electric-hydrogen-chemical energy management, the aforementioned steps S110-S140 are performed by the intelligent regulation module 350. The specific execution process can be referred to the foregoing, which will not be described here.

[0094] Although several embodiments of the present application have been shown and described herein, it would be apparent to those skilled in the art that such embodiments are provided by way of example only. Many modifications, changes and substitutions can be made to the embodiments of the present application without departing from the spirit and scope of the present application. It should be understood that various alternatives to the embodiments of the present application described herein can be employed in practicing the present application. The appended claims are intended to define the scope of the present application and thus cover any equivalents or alternatives within the scope of the claims.

Claims

1. An integrated electric-hydrogenation energy management method, characterized in that, The method comprises the following steps: Real-time collection of operation data of the wind-solar-storage power generation module, hydrogen production module, hydrogen storage module and chemical production module, and integration of the operation data into a data integration platform, wherein the operation data includes wind-solar output, hydrogen storage state and chemical load; An optimal operation strategy is generated based on the collected operation data and chemical production plan by using a collaborative optimization algorithm; The operation state of the wind-solar-storage power generation module, hydrogen production module, hydrogen storage module and chemical production module is real-time regulated according to the generated optimal operation strategy; While regulating the operation state of the wind-solar-storage power generation module, hydrogen production module, hydrogen storage module and chemical production module, the power fluctuation and process parameter change are predicted in advance according to the predicted data to generate a feedforward control instruction.

2. The integrated electro-hydrogenation energy management method of claim 1, wherein, The capacity ratio of the wind-solar-storage power generation module is determined by optimization configuration, and the generated green electricity is preferentially supplied to the wind-solar-storage power station, and the remaining electricity is input to the hydrogen production module; when the hydrogen production module is full, the remaining green electricity is distributed to the public network or standby equipment according to a preset ratio, thereby maximizing the green electricity consumption rate.

3. The integrated electro-hydrogenation energy management method of claim 2, wherein, During the wind-solar output process, it is determined whether the ratio of wind-solar output to total system load is greater than or equal to a first percentage or less than a second percentage; In response to the ratio of wind-solar output to total system load being greater than or equal to the first percentage, the power utilization mode of the coal chemical self-provided power plant in the chemical production module is controlled, so that the ratio of chemical load to total system load is less than or equal to a third percentage; In response to the ratio of wind-solar output to total system load being less than the second percentage, the power utilization mode of the coal chemical self-provided power plant in the chemical production module is controlled, so that the ratio of chemical load to total system load is a fourth percentage.

4. The integrated electro-hydrogenation energy management method of claim 1, wherein, The hydrogen production module converts green electricity into green hydrogen and green oxygen, and dynamically adjusts the operation state of the electrolyzer group in the hydrogen production module according to the output of the wind-solar-storage power generation module during the conversion process, and monitors the concentration of green hydrogen in green oxygen and performs interlocking protection, wherein the hydrogen production module compresses the green oxygen generated during the conversion process and supplies it back to the coal gasification device in the chemical production module, and replaces part of the load of the air separation device in the chemical production module or supplies the coal chemical self-provided power plant in the chemical production module for oxygen-enriched combustion.

5. The integrated electro-hydrogenation energy management method of claim 4, wherein, The oxygen generated by the air separation device in the chemical production module is used as the carrier gas for the pulverized coal transported to the coal gasification device in the chemical production module.

6. The integrated electro-hydrogenation energy management method of claim 5, wherein, The green hydrogen is injected into the synthetic ammonia and synthetic urea device in the chemical production module, compressed to a set pressure, mixed with nitrogen generated by the air separation device according to a set molar ratio, and then enters the ammonia synthesis loop for ammonia synthesis reaction to generate ammonia.

7. The integrated electro-hydrogenation energy management method of claim 6, wherein, Carbon dioxide is captured from the tail gas generated by the coal gasification device, and the captured carbon dioxide is reacted with the ammonia to produce urea.

8. The integrated electro-hydrogenation energy management method of claim 1, wherein, In the process of generating the optimal operation strategy based on the collected operation data and chemical production plan by using the collaborative optimization algorithm, the optimal operation strategy is obtained through the objective function and the constraint condition; Wherein, the objective function is: f = min (αC 碳排 + βC 能耗 + γC 成本 ), C 碳排 is the total carbon emissions of the system, C 能耗 is the comprehensive energy consumption, C 成本 is the operating cost; The constraints are: r 氢碳 is the hydrogen to carbon ratio, P u oxygen is the oxygen purity, Po 储氢罐 is the pressure of the hydrogen storage tank.

9. The integrated electro-hydrogenation energy management method of claim 8, wherein, In the process of generating the preventive feedforward control instruction, the following steps are performed: According to the predicted power fluctuation, the predicted process parameter change, the operation data of the wind-solar-storage power generation module, the operation data of the hydrogen production module, the operation data of the hydrogen storage module, and the operation data of the chemical production module, an operation deviation result of the wind-solar-storage power generation module, the hydrogen production module, the hydrogen storage module, and the chemical production module is obtained; Based on the operation deviation result, a preventive coping strategy is obtained through a target function and a constraint condition; The preventive coping strategy is decomposed into a preventive feedforward control instruction.

10. An integrated electro-hydrogen-chemical energy management system, characterized in that, An electric-hydrogen-chemical integrated energy management method is adopted to manage the electric-hydrogen-chemical integrated energy, and the system comprises: a wind-solar-storage power generation module for providing green electricity; a hydrogen production module for converting green electricity into green hydrogen and green oxygen; a hydrogen storage module for storing and adjusting green hydrogen; a chemical production module for producing chemical products by using green hydrogen, green oxygen, and coal-based raw materials; an intelligent control module comprising a data integration platform and a collaborative optimization algorithm module; The data integration platform is used to collect operation data of the wind-solar-storage power generation module, the hydrogen production module, the hydrogen storage module, and the chemical production module in real time. The collaborative optimization algorithm module is used to generate an optimal operation strategy based on the collected operation data and a chemical production plan, and to real-time control the operation states of the wind-solar-storage power generation module, the hydrogen production module, the hydrogen storage module, and the chemical production module according to the generated optimal operation strategy, and to generate a feedforward control instruction according to the predicted power fluctuation and process parameter change set in advance at a certain time according to the predicted data while real-time controlling the operation states of the wind-solar-storage power generation module, the hydrogen production module, the hydrogen storage module, and the chemical production module.

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