Source-load synergistic green-hydrogen coupling coal chemical industry digital twinning system

Abstract

The invention provides a source-load synergistic green-hydrogen coupling coal chemical industry digital twinning system, and belongs to the technical field of coal chemical industry production. The source-load synergetic green-hydrogen coupling coal chemical industry digital twinning system comprises a coal chemical industry system and a green-electricity green-hydrogen system. The coal chemical system receives hydrogen and oxygen as raw materials for chemical production, so that the resource utilization efficiency is improved, and the waste of byproducts is reduced; when the first predicted power consumption is smaller than the electric energy generated by the electric energy generation part, the electric energy generation part is controlled to transmit the first residual electric energy formed after being supplied to the raw material production part for use to the coal chemical industry system for use, so that the utilization rate of the electric energy is improved, and hydrogen and oxygen generated by green electricity and green hydrogen are fully utilized; raw materials are provided for the coal chemical industry production process, energy conservation and emission reduction in the coal chemical industry are facilitated, and a multi-element complementary comprehensive energy supply system is built; a huge application scene is provided for the development of green power and green hydrogen, and the construction, operation and maintenance cost of a secondary system can be reduced through integrated construction.

Description

Technical Field

[0001] The present invention relates to the technical field of coal chemical production, and in particular to a source-load coordinated green hydrogen coupled coal chemical digital twin system. Background Art

[0002] Coal chemical industry refers to the process of producing a series of chemical products through the conversion and processing of coal, including methanol, dimethyl ether, ethanol, olefins, aromatics, synthesis gas and liquefied natural gas. These chemical products are widely used in the fields of energy, chemical industry, medicine and materials. However, the traditional coal chemical production process has problems such as high energy consumption and high carbon emissions, and it is urgent to seek green and low-carbon production methods to meet the requirements of environmental protection and sustainable development. Summary of the invention

[0003] The purpose of the present invention is to propose a source-load coordinated green hydrogen coupled coal chemical digital twin system in response to the above-mentioned deficiencies in the prior art.

[0004] The present invention proposes a source-load coordinated green hydrogen coupled coal chemical digital twin system, comprising a coal chemical system, a green electricity green hydrogen system, and a control system for respectively controlling the coal chemical system and the green electricity green hydrogen system; the green electricity green hydrogen system comprises a raw material production part for producing hydrogen and oxygen, and an electric energy production part for generating electric energy and supplying power to the raw material production part, the coal chemical system is used to receive hydrogen and oxygen as raw materials respectively and use them for chemical production; the control system is used to simulate the operating states of the green electricity green hydrogen system and the coal chemical system respectively, and the control system predicts that the raw material production part will generate a first prediction time at a first prediction time The predicted output of hydrogen and the first predicted power consumption consumed by the raw material production component when producing the first predicted output of hydrogen, the control system is used to control the power production component to transmit the first surplus power formed after supplying the raw material production component to the coal chemical system for use by the coal chemical system when the current time is the first predicted time and the first predicted power consumption is less than the power generated by the power generation component; the control system is used to control the raw material production component to be connected to the external power grid system when the current time is the first predicted time and the first predicted power consumption is not less than the power generated by the power generation component, so that the external power grid system supplies power to the raw material production component.

[0005] Furthermore, the coal chemical system includes a water-coal slurry gasification device, a methanol synthesis device, and a hydrogenation methanation device. The water-coal slurry gasification device is used to receive oxygen and perform water-coal slurry gasification, the methanol synthesis device is used to receive hydrogen and perform methanol production, and the hydrogenation methanation device is used to receive hydrogen and perform methane production.

[0006] Furthermore, the electric energy production component includes a solar photovoltaic power generation device and a wind power generation device. The solar photovoltaic power generation device is used to convert solar energy into a first electric energy, and the wind power generation device is used to convert wind energy into a second electric energy. The raw material production component is an electrolysis device used to receive at least one of the first electric energy, the second electric energy, and the third electric energy transmitted by an external power grid system and electrolyze water to produce hydrogen and oxygen.

[0007] Furthermore, the green electricity and green hydrogen system also includes an energy storage device, in which a battery is provided for storing the first electric energy and / or the second electric energy to balance the fluctuation of the first electric energy and / or the second electric energy.

[0008] Furthermore, the control system includes a data acquisition module, a multi-model computing module, and an edge computing module for respectively controlling the green electricity and green hydrogen system and the coal chemical system, wherein the data acquisition module is used to respectively collect real-time operation data of the green electricity and green hydrogen system and the coal chemical system; the multi-model computing module is used to construct digital twin models of the green electricity and green hydrogen system and the coal chemical system using industrial digital twin technology, and the digital twin model is used to simulate and predict the operation status of the green electricity and green hydrogen system and the coal chemical system according to the real-time operation data to obtain prediction results, and the prediction results include a first predicted electric energy generated by the solar photovoltaic power generation device at the second prediction time, a second predicted electric energy generated by the wind power generation device at the second prediction time energy, the electrolysis device generates a second predicted output of hydrogen and oxygen at a second predicted time, the second predicted power consumption consumed by the electrolysis device when generating the second predicted output of hydrogen and oxygen, and the third predicted power consumption consumed by the coal chemical system when consuming the second predicted output of hydrogen and oxygen; the edge computing module is used to calculate the sum of the first predicted electric energy and the second predicted electric energy as the first predicted power production sum, and calculate the sum of the second predicted power consumption and the third predicted power consumption as the first predicted power consumption sum; the edge computing module is used to reduce the output of hydrogen and oxygen received by the coal chemical system from the electrolysis device when the current time is the second preset time, the first predicted power consumption is not less than the first predicted power production sum, and the second predicted power consumption is less than the first predicted power production sum.

[0009] Furthermore, the data acquisition module includes multiple first gas sensors for detecting a first real-time concentration of hydrogen generated by the electrolysis device, multiple second gas sensors for detecting a second real-time concentration of oxygen generated by the electrolysis device, multiple temperature sensors for respectively detecting real-time temperatures at multiple locations in the green electricity and green hydrogen system and the coal chemical system, multiple pressure sensors for respectively detecting real-time pressures at multiple key nodes in the green electricity and green hydrogen system and the coal chemical system, and flow meters for respectively detecting real-time flow rates of fluids in multiple pipelines in the green electricity and green hydrogen system and the coal chemical system. The real-time operation data includes a first real-time concentration, a second real-time concentration, real-time temperature, real-time pressure, and real-time flow rate.

[0010] Furthermore, the digital twin model includes a green hydrogen model, a green electricity model, a simulation calculation model, a chemical production model, and a compressor model; the green hydrogen model can simulate the parameters and reaction mechanisms in the process of hydrogen production, storage and use to simulate the production behavior of hydrogen in different production links, and the green hydrogen model is used to predict the power consumption of the electrolysis device; the green electricity model is used to calculate the power supply capacity of the first electric energy and the second electric energy in different production stages; the simulation calculation model can integrate the synergistic effects of green hydrogen and green electricity in the production process to simulate the operating state of the coal chemical system under production conditions; the chemical production model simulates the physical and chemical reactions in the chemical production process to predict the chemical predicted energy consumption and the chemical production predicted efficiency; the compressor model is used to simulate the working state of the compressor.

[0011] Furthermore, the control system also includes a safety monitoring module, and the edge computing module is also used to analyze the real-time operation data and control the safety monitoring module to send an alarm signal when the real-time operation data exceeds the corresponding preset range.

[0012] Furthermore, the electric energy production component also includes an electric power conversion device, which includes a DC / DC conversion unit and an AC / DC conversion unit. The DC / DC conversion unit can respectively convert the first electric energy and the chemical energy in the battery into direct current electric energy used by the electrolysis device, and the AC / DC conversion unit can respectively convert the second electric energy and the third electric energy into direct current electric energy used by the electrolysis device.

[0013] Furthermore, the edge computing module controls the solar photovoltaic power generation device and the wind power generation device to transmit the second surplus electric energy formed after supplying the electrolysis device and the coal chemical system to the energy storage device when the first predicted power consumption is less than the first predicted power production; the edge computing module calculates and obtains the first calculated difference between the second predicted power consumption and the first predicted power production and obtains the first stored electric energy currently stored in the energy storage device; the edge computing module controls the energy storage device to supply power to the electrolysis device when the second predicted power consumption is not less than the first predicted power production and the first calculated difference is not greater than the first stored electric energy; the edge computing module controls the energy storage device and the external power grid system to supply power to the electrolysis device when the second predicted power consumption is not less than the first predicted power production and the first calculated difference is greater than the first stored electric energy.

[0014] The source-load coordinated green hydrogen coupled coal chemical digital twin system of the present invention has the following beneficial effects: The electric energy production part generates electric energy and supplies it to the raw material production part. The raw material production part is used to generate hydrogen and oxygen. The coal chemical system receives hydrogen and oxygen as raw materials and uses them for chemical production, thereby improving resource utilization efficiency and reducing waste of by-products. When the first predicted power consumption is less than the power generated by the electric energy generation part, the electric energy generation part is controlled to transmit the first surplus electric energy formed after the raw material production part is used to the coal chemical system for use by the coal chemical system, thereby improving the utilization rate of electric energy. When the first predicted power consumption is not less than the power generated by the electric energy generation part, the raw material production part is controlled to be connected to the external power grid system, so that the external power grid system supplies power to the raw material production part to ensure the stability of hydrogen production. The hydrogen and oxygen generated by green electricity and green hydrogen are fully utilized to provide raw materials for the coal chemical production process, which is beneficial to energy conservation and emission reduction in the coal chemical industry and the construction of a diversified and complementary comprehensive energy supply system. It provides a huge application scenario for the development of green electricity and green hydrogen, and the secondary system construction and operation and maintenance costs can be reduced through integrated construction. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The accompanying drawings, which are incorporated into the specification and constitute a part of the specification, illustrate embodiments of the present invention and are used together with the description to explain the principles of the present invention. In these drawings, similar reference numerals are used to represent similar elements. The drawings described below are some embodiments of the present invention, but not all embodiments. For those of ordinary skill in the art, other drawings can be obtained from these drawings without paying creative work.

[0016] Figure 1 This is a principle block diagram of a source-load coordinated green hydrogen coupled coal chemical digital twin system in an embodiment of the present invention; Figure 2 This is a principle block diagram of a control system in a source-load coordinated green hydrogen coupled coal chemical digital twin system according to an embodiment of the present invention; Figure 3 This is a schematic diagram of the production process in a source-load coordinated green hydrogen coupled coal chemical digital twin system in an embodiment of the present invention.

[0017] In the figure: 1-green electricity and green hydrogen system, 2-coal chemical system, 3-control system, 31-data acquisition module, 32-multi-model computing module, 33-edge computing module, 34-safety monitoring module. DETAILED DESCRIPTION

[0018] In order to make the purpose, technical scheme and advantages of the embodiments of the present invention clearer, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention. It should be noted that the embodiments in this application and the features in the embodiments can be combined with each other arbitrarily without conflict.

[0019] See also Figures 1 to 3 . A source-load coordinated green hydrogen coupled coal chemical digital twin system of an embodiment of the present invention includes a coal chemical system 2, a green electricity green hydrogen system 1, and a control system 3 for respectively controlling the coal chemical system 2 and the green electricity green hydrogen system 1; the green electricity green hydrogen system 1 includes a raw material production component for generating hydrogen and oxygen, and an electric energy production component for generating electric energy and supplying power to the raw material production component, and the coal chemical system 2 is used to receive hydrogen and oxygen as raw materials respectively and use them for chemical production; the control system 3 is used to simulate the operating states of the green electricity green hydrogen system 1 and the coal chemical system 2 respectively, and the control system 3 predicts that the raw material production component will generate at a first prediction time. The control system 3 is used to control the electric energy production component to transmit the first surplus electric energy formed after the raw material production component is used to the coal chemical system 2 for use by the coal chemical system 2 when the current time is the first predicted time and the first predicted power consumption is less than the electric energy generated by the electric energy generation component; the control system 3 is used to control the raw material production component to be connected to the external power grid system when the current time is the first predicted time and the first predicted power consumption is not less than the electric energy generated by the electric energy generation component, so that the external power grid system supplies power to the raw material production component.

[0020] Here, the coal chemical system 2 in this application uses hydrogen and oxygen as raw materials, which can significantly reduce carbon emissions during chemical production and achieve green and low-carbon transformation. In addition, hydrogen and oxygen can also be used as important chemical raw materials. By combining with the coal chemical process, the efficiency of resource utilization can be improved and the waste of by-products can be reduced. At the same time, through the joint cooperation of the power production parts and the external power grid system, the stability of hydrogen production is ensured, thereby ensuring the stability of the production process of the coal chemical system 2.

[0021] The coal chemical system 2 may include a water-coal slurry gasification device, a methanol synthesis device, and a hydrogenation methanation device. The water-coal slurry gasification device is used to receive oxygen and perform water-coal slurry gasification, the methanol synthesis device is used to receive hydrogen and perform methanol production, and the hydrogenation methanation device is used to receive hydrogen and perform methane production.

[0022] Specifically, the coal chemical system 2 also includes an acid gas removal and sulfur recovery device, a CO cryogenic separation device, a liquefaction device, a hydrogen recovery device, and an acetic acid device; an input end of the water-coal slurry gasification device is connected to the output oxygen of the green hydrogen system; the methanol synthesis device and the hydrogenation methanation device simultaneously receive the output hydrogen of the green hydrogen system. The coal chemical system 2 and the green electricity green hydrogen system 1 are interconnected. The hydrogen generated by the green electricity green hydrogen system 1 is used for the production of methane and methanol in the coal chemical industry, the oxygen generated is used for water-coal slurry gasification, and the remaining electricity generated is used for various processes in the coal chemical industry. The water-coal slurry gasification device can be a water-coal slurry gasification unit, and the hydrogenation methanation device can be a high-temperature methanation unit.

[0023] The electric energy production parts may include solar photovoltaic power generation devices and wind power generation devices. The solar photovoltaic power generation devices are used to convert solar energy into first electric energy, and the wind power generation devices are used to convert wind energy into second electric energy. The raw material production parts are electrolysis devices used to receive at least one of the first electric energy, the second electric energy, and the third electric energy transmitted by the external power grid system and electrolyze water to produce hydrogen and oxygen.

[0024] Specifically, green hydrogen refers to hydrogen produced by electrolyzing water through renewable energy such as wind energy and solar energy. Its production process does not emit carbon dioxide and is an ideal clean energy. The solar photovoltaic power generation device generates the first electric energy through photovoltaic power generation, and the wind power generation device generates the second electric energy through wind power generation. The first electric energy and the second electric energy do not emit carbon dioxide during the generation process, and the first electric energy and the second electric energy are both green electricity. The control system 3 is connected to the coal chemical system 2 and the green electricity and green hydrogen system 1 respectively. The electrolysis device is an alkaline electrolysis device. The hydrogen and oxygen produced by the alkaline electrolysis device are used as raw materials for subsequent coal chemical production. The electrolysis device may include an electrolyzer for electrolyzing water to produce hydrogen and oxygen, a separation and purification unit for separating the hydrogen and oxygen produced by the electrolyzer, a hydrogen storage tank for storing hydrogen, an oxygen storage tank for storing oxygen, a first conveying structure connected to the hydrogen storage tank and the methanol synthesis device, respectively, a second conveying structure connected to the hydrogen storage tank and the hydrogenation methanation device, and a third conveying structure connected to the oxygen storage tank and the water-coal slurry gasification device, respectively.

[0025] The green electricity and green hydrogen system 1 may further include an energy storage device, in which a battery is provided for storing the first electrical energy and / or the second electrical energy to balance fluctuations of the first electrical energy and / or the second electrical energy.

[0026] Specifically, the energy storage device completes the storage, release and management of energy through the battery to achieve the conversion between electrical energy and chemical energy. When the first electrical energy and the second electrical energy cannot meet the electrical energy demand of the electrolysis device, the energy storage device can supply power to the electrolysis device.

[0027] The control system 3 includes a data acquisition module 31, a multi-model computing module 32, and an edge computing module 33 for controlling the green electricity and green hydrogen system 1 and the coal chemical system 2 respectively. The data acquisition module 31 is used to collect real-time operation data of the green electricity and green hydrogen system 1 and the coal chemical system 2 respectively; the multi-model computing module 32 is used to construct a digital twin model of the green electricity and green hydrogen system 1 and the coal chemical system 2 using industrial digital twin technology. The digital twin model is used to simulate and predict the operation status of the green electricity and green hydrogen system 1 and the coal chemical system 2 according to the real-time operation data to obtain a prediction result. The prediction result includes a first predicted electric energy generated by the solar photovoltaic power generation device at the second prediction time, and a second predicted electric energy generated by the wind power generation device at the second prediction time. Electric energy, the electrolysis device generates a second predicted output of hydrogen and oxygen at the second predicted time, the second predicted power consumption consumed by the electrolysis device when generating the second predicted output of hydrogen and oxygen, and the third predicted power consumption consumed by the coal chemical system 2 when consuming the second predicted output of hydrogen and oxygen; the edge computing module 33 is used to calculate the sum of the first predicted electric energy and the second predicted electric energy as the first predicted power production sum, and calculate the sum of the second predicted power consumption and the third predicted power consumption as the first predicted power consumption sum; the edge computing module 33 is used to reduce the output of hydrogen and oxygen received by the coal chemical system 2 from the electrolysis device when the current time is the second preset time, the first predicted power consumption is not less than the first predicted power production sum, and the second predicted power consumption is less than the first predicted power production sum.

[0028] Specifically, the operating status of the green electricity green hydrogen system 1 and the coal chemical system 2 is monitored by the data acquisition module 31 and the edge computing module 33, and the status of the digital twin model in the multi-model computing module 32 is updated in real time. This application optimizes the integration of the coal chemical production process and the green hydrogen technology. The coal chemical production process combined with the green hydrogen technology can not only reduce the carbon footprint, but also optimize the energy structure and improve production efficiency and safety. Through the digital twin technology, the comprehensive perception, decision-making and control of the green hydrogen coupled coal chemical production process can be realized, and the operation efficiency and safety of the system can be further improved. The digital twin system can monitor and analyze production data in real time, perform intelligent management and optimization, realize precise control and optimized scheduling of the coal chemical process, and realize the comprehensive digital twin of the green electricity green hydrogen combined coal chemical production process, which is conducive to improving the overall operation efficiency and safety warning capabilities of the system. Under the general trend of digital economy and low-carbon development today, the traditional coal chemical industry faces the dual challenges of green and low-carbon and digital transformation. The introduction of green hydrogen technology and the combination of digital twin systems will provide an effective solution for the green and low-carbon transformation and digital upgrading of the coal chemical industry.

[0029] Specifically, the first electric energy generated by the solar photovoltaic power generation device at different times of the day is different, and the second electric energy generated by the wind power generation device at different times of the day. The real-time operation data is input into the digital twin model, and the digital twin model predicts the electric energy generated by the solar photovoltaic power generation device, the electric energy generated by the wind power generation device, the output of hydrogen and oxygen generated by the electrolysis device, the corresponding power consumption of the electrolysis device, and the corresponding power consumption of the coal chemical system to obtain prediction results. The prediction results include the first predicted electric energy generated by the solar photovoltaic power generation device at the second prediction time, the second predicted electric energy generated by the wind power generation device at the second prediction time, the second predicted output of hydrogen and oxygen generated by the electrolysis device at the second prediction time, and the second predicted power consumption consumed by the electrolysis device when generating the second predicted output of hydrogen and oxygen. The edge computing module calculates the sum of the first predicted electric energy and the second predicted electric energy as the first predicted power production sum, and calculates the sum of the second predicted power consumption and the third predicted power consumption as the first predicted power consumption sum. The edge computing module 33 reduces the output of hydrogen and oxygen received by the coal chemical system 2 from the electrolysis device when the current time is the second preset time, the first predicted power consumption sum is not less than the first predicted power production sum, and the second predicted power consumption is less than the first predicted power production sum, so as to adjust the coal chemical system when the sum of the electric energy generated by the solar photovoltaic device and the wind power generation device is insufficient, reduce the output of hydrogen and oxygen input to the coal chemical system, thereby reducing the electric energy consumed by the coal chemical system 2 and ensuring the stability of green hydrogen production.

[0030] Specifically, through the collaborative calculation of the multi-model computing module 32 and the edge computing module 33, the operating status of the green electricity and green hydrogen system 1 and the coal chemical system 2 is reflected in real time in the digital twin model, and the operating status of key equipment is adjusted in real time according to the external environment, changes in energy supply and demand, and system carbon emissions. The introduction of the edge computing module 33 enhances data processing and decision-making capabilities and improves the overall operating efficiency and stability of the system. The application of the multi-model computing module 32 enables the system to fully perceive and optimize various parameters in the production process and achieve refined management and control.

[0031] The data acquisition module 31 may include multiple first gas sensors for detecting a first real-time concentration of hydrogen generated by the electrolysis device, multiple second gas sensors for detecting a second real-time concentration of oxygen generated by the electrolysis device, multiple temperature sensors for respectively detecting the real-time temperatures at multiple locations in the green electricity and green hydrogen system 1 and the coal chemical system 2, multiple pressure sensors for respectively detecting the real-time pressures at multiple key nodes in the green electricity and green hydrogen system 1 and the coal chemical system 2, and flow meters for respectively detecting the real-time flow of fluids in multiple pipelines in the green electricity and green hydrogen system 1 and the coal chemical system 2. The real-time operation data includes the first real-time concentration, the second real-time concentration, the real-time temperature, the real-time pressure, and the real-time flow.

[0032] Specifically, temperature sensors are installed on the reactor and pipelines to monitor the temperature changes in the production process in real time, ensure that the temperature is controlled within the appropriate range, and avoid overheating or overcooling; pressure sensors are arranged at key nodes of the system to monitor the pressure conditions in the system in real time to prevent equipment damage or safety accidents caused by excessive pressure; flow meters are installed on import and export pipelines to measure the flow rate and rate of the fluid in real time to ensure stable flow and avoid affecting production efficiency and product quality due to flow fluctuations; the first gas sensor and the second gas sensor are used to detect the concentration of gases such as hydrogen and oxygen in the production process, respectively, to ensure the safe operation of the system and prevent safety hazards caused by gas leakage. The data acquisition module 31 transmits the collected data to the multi-model computing module 32 and the edge computing module 33 through a wireless network or wired connection to perform real-time data analysis and processing.

[0033] The digital twin model includes a green hydrogen model, a green electricity model, a simulation calculation model, a chemical production model, and a compressor model; the green hydrogen model can simulate the parameters and reaction mechanisms in the process of hydrogen production, storage and use to simulate the production behavior of hydrogen in different production links, and the green hydrogen model is used to predict the power consumption of the electrolysis device; the green electricity model is used to calculate the power supply capacity of the first electricity and the second electricity in different production stages; the simulation calculation model can integrate the synergistic effects of green hydrogen and green electricity in the production process to simulate the operating status of the coal chemical system 2 under production conditions; the chemical production model simulates the physical and chemical reactions in the chemical production process to predict the chemical predicted energy consumption and chemical production predicted efficiency; the compressor model is used to simulate the working status of the compressor.

[0034] Specifically, the green hydrogen model optimizes the efficiency of hydrogen use by simulating the behavior of hydrogen in different production links. The green electricity model calculates the power supply capacity and stability of the first electric energy and the second electric energy at different production stages, optimizes power dispatch and distribution, and ensures stable power supply during the production process. The simulation calculation model integrates the synergistic effect of green hydrogen and green electricity in the production process, simulates the impact of the green electricity and green hydrogen system 1 on the coal chemical system 2, and predicts the operating status of the coal chemical system 2 under different production conditions through simulation. The chemical production model simulates the physical and chemical reactions involved in the chemical production process, calculates production efficiency and energy consumption, optimizes reaction conditions, and improves production efficiency. The compressor model simulates the working state of the compressor based on empirical models and experimental data. Through the data fusion and collaborative calculation of the multi-model calculation module 32, the comprehensive optimization and control of green electricity, green hydrogen and coal chemical processes are achieved.

[0035] Specifically, the edge computing module 33 is deployed at the production site and has the following functions: 1. Real-time data processing: quickly process and analyze the collected temperature, pressure, flow and other data, provide instant feedback, and ensure that various parameters in the production process are controlled within the optimal range.

[0036] 2. Intelligent decision support: Based on the calculation results of multiple models, on-site decision support is provided to regulate the corresponding equipment, thereby achieving real-time adjustment of production parameters, optimizing the production process, and improving production efficiency and product quality.

[0037] 3. Fault diagnosis: monitor system status in real time, identify and diagnose potential faults, and ensure the continuity and stability of the production process.

[0038] The control system 3 may further include a safety monitoring module 34, and the edge computing module 33 is also used to analyze the real-time operation data and control the safety monitoring module 34 to send an alarm signal when the real-time operation data exceeds the corresponding preset range.

[0039] Specifically, the safety monitoring module 34 issues an alarm message to remind the operator to handle abnormal situations in a timely manner. The safety monitoring module 34 provides real-time early warnings, effectively improving the safety of the production process and reducing the possibility of accidents.

[0040] The electric energy production component may also include an electric power conversion device, which includes a DC / DC conversion unit and an AC / DC conversion unit. The DC / DC conversion unit can respectively convert the first electric energy and the chemical energy in the battery into direct current electric energy used by the electrolysis device, and the AC / DC conversion unit can respectively convert the second electric energy and the third electric energy into direct current electric energy used by the electrolysis device.

[0041] Specifically, the power conversion device converts unstable renewable energy into stable direct current power to supply energy to the electrolysis device. The first power produced by the solar photovoltaic power generation device and the electrochemical energy storage generated by the energy storage device supply energy to the electrolysis device through the DC / DC conversion unit. The second power produced by the wind power generation device and the third power provided by the external power grid system supply energy to the electrolysis device through the AC / DC conversion system. The green electricity and green hydrogen system 1 supplies power to each production module and compressor in the coal chemical system 2. The external power grid system serves as a supplementary energy source to ensure the stable power supply of the electrolysis device; the solar photovoltaic power generation device, the wind power generation device, and the energy storage device work together to meet the power demand of the chemical production of the coal chemical device, and can sell stable green electricity to the power grid. The green electricity and green hydrogen system 1 generates green hydrogen by electrolyzing water, and includes hydrogen, oxygen production, storage and transportation units to ensure the stable supply of hydrogen and oxygen and use them for chemical reactions in the coal chemical process. The coal chemical system 2 includes multiple production paths, such as liquefied natural gas products (LNG), vinyl acetate, methanol-related products, etc.

[0042] The edge computing module 33 can control the solar photovoltaic power generation device and the wind power generation device to transmit the second surplus electric energy formed after supplying the electrolysis device and the coal chemical system 2 to the energy storage device when the first predicted power consumption is less than the first predicted power production; the edge computing module 33 calculates and obtains the first calculated difference between the second predicted power consumption and the first predicted power production and obtains the first stored electric energy currently stored in the energy storage device. The edge computing module 33 controls the energy storage device to supply power to the electrolysis device when the second predicted power consumption is not less than the first predicted power production and the first calculated difference is not greater than the first stored electric energy. The edge computing module 33 controls the energy storage device and the external power grid system to supply power to the electrolysis device when the second predicted power consumption is not less than the first predicted power production and the first calculated difference is greater than the first stored electric energy.

[0043] Specifically, when the output of the solar photovoltaic power generation device, the wind power generation device and the energy storage device is insufficient, the control system 3 adjusts the coal chemical production in a timely manner according to the prediction results of the digital twin model, that is, reduces the output of hydrogen and oxygen received by the coal chemical system 2 from the electrolysis device, thereby reducing the power consumption of the coal chemical system 2, and timely connects the electrolysis device in the green electricity and green hydrogen system 1 with the external power grid system to ensure the stability of green hydrogen production; when the output of the solar photovoltaic power generation device and the wind power generation device is in excess, the chemical battery in the energy storage device is used to balance the fluctuation of the first electric energy generated by the solar photovoltaic power generation device; according to the demand of the chemical production of the coal chemical system 2 and the peak and valley power conditions of the external power grid system, the power supply is flexibly adjusted to adjust the production of the coal chemical system 2.

[0044] Specifically, compared with the prior art, the present invention has the following significant advantages: (1) Source-load collaborative optimization: The present invention designs a source-load collaborative green hydrogen coupled coal chemical digital twin system, which fully utilizes the hydrogen and oxygen produced by green electricity and green hydrogen to provide raw materials for the coal chemical production process, which is beneficial to energy conservation and emission reduction in the coal chemical industry and the construction of a diversified and complementary comprehensive energy supply system; it provides a huge application scenario for the development of green electricity and green hydrogen, and can reduce the construction and operation and maintenance costs of the secondary system through integrated construction; (2) Low-carbon transformation and efficient production: Based on the current research status that the traditional coal chemical industry produces a large amount of carbon emissions during production and requires a large amount of hydrogen, oxygen and electricity in the chemical production process, combined with the characteristics of the chemical system, wind-solar-hydrogen integrated energy system, and digital twin intelligent system, a source-load coordinated green hydrogen coupled coal chemical digital twin system is designed. This system couples green hydrogen with coal chemical production, and consumes hydrogen that is difficult to store and transport locally, which not only solves the problem of hydrogen storage and transportation, but also realizes hydrogen replenishment and carbon reduction in the coal chemical process; (3) Intelligent control and optimization management: The present invention develops and establishes a digital twin system with multi-energy complementarity and source-load coordination, and constructs an intelligent control model including solar photovoltaic power generation devices, wind power generation devices, energy storage devices, electrolysis devices and coal chemical system 2. Based on multi-source heterogeneous data collected from green electricity and green hydrogen production, coal chemical system 2, etc., key link equipment is adjusted in real time according to the fluctuations of new energy and production ends, and an integrated system with flexible, efficient and low-carbon operation is established; (4) Safety warning and decision support: Real-time monitoring of system operation status, data collection and analysis, and timely warning to prevent potential safety risks. This application realizes the organic combination of coal chemical production and green hydrogen technology through digital twin technology, improving the operating efficiency and safety of the overall system.

[0045] The contents described above may be implemented individually or in combination in various ways, and these variations are all within the protection scope of the present invention.

[0046] It should be noted that, in the description of the present application, the terms "upper end", "lower end" and "bottom end" indicating the orientation or positional relationship are based on the orientation or positional relationship shown in the accompanying drawings, or the orientation or positional relationship in which the product of the application is usually placed when in use, and are only for the convenience of describing the present application and simplifying the description, rather than indicating or implying that the device referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present application. Moreover, the terms "include", "comprise" or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprising a ..." do not exclude the presence of other identical elements in the process, method, article or device comprising the elements.

[0047] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them. Although the present invention has been described in detail with reference to the above embodiments, a person skilled in the art should understand that the technical solutions described in the above embodiments can still be modified, or some of the technical features can be replaced by equivalents; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A source-load collaborative green hydrogen coupled coal chemical digital twin system, characterized by: The invention comprises a coal chemical system (2), a green electricity green hydrogen system (1), and a control system (3) for respectively controlling the coal chemical system (2) and the green electricity green hydrogen system (1); the green electricity green hydrogen system (1) comprises a raw material production component for generating hydrogen and oxygen, and an electric energy production component for generating electric energy and supplying electric energy to the raw material production component; the coal chemical system (2) is used to respectively receive hydrogen and oxygen as raw materials and use them for chemical production; the control system (3) is used to respectively simulate the operating states of the green electricity green hydrogen system (1) and the coal chemical system (2); the control system (3) predicts that the raw material production component generates a first prediction at a first prediction time. The control system (3) is used to control the electric energy production component to transmit the first surplus electric energy generated after the raw material production component is used to the coal chemical system (2) for use by the coal chemical system (2) when the current time is the first predicted time and the first predicted electric energy consumption is less than the electric energy generated by the electric energy production component; the control system (3) is used to control the raw material production component to be connected to the external power grid system when the current time is the first predicted time and the first predicted electric energy consumption is not less than the electric energy generated by the electric energy production component, so that the external power grid system supplies power to the raw material production component.

2. A source-load coordinated green hydrogen coupled coal chemical digital twin system as claimed in claim 1, characterized in that: The coal chemical system (2) comprises a water-coal slurry gasification device, a methanol synthesis device, and a hydrogenation methanation device. The water-coal slurry gasification device is used to receive oxygen and perform water-coal slurry gasification, the methanol synthesis device is used to receive hydrogen and perform methanol production, and the hydrogenation methanation device is used to receive hydrogen and perform methane production.

3. A source-load coordinated green hydrogen coupled coal chemical digital twin system as claimed in claim 1 or 2, characterized in that: The electric energy production component includes a solar photovoltaic power generation device and a wind power generation device. The solar photovoltaic power generation device is used to convert solar energy into a first electric energy, and the wind power generation device is used to convert wind energy into a second electric energy. The raw material production component is an electrolysis device used to receive at least one of the first electric energy, the second electric energy, and the third electric energy transmitted by an external power grid system and electrolyze water to produce hydrogen and oxygen.

4. A source-load coordinated green hydrogen coupled coal chemical digital twin system as claimed in claim 3, characterized in that: The green electricity and green hydrogen system (1) further comprises an energy storage device, wherein the energy storage device is provided with a battery capable of storing the first electric energy and / or the second electric energy for balancing fluctuations of the first electric energy and / or the second electric energy.

5. A source-load coordinated green hydrogen coupled coal chemical digital twin system as claimed in claim 4, characterized in that: The control system (3) comprises a data acquisition module (31), a multi-model computing module (32), and an edge computing module (33) for respectively controlling the green electricity and green hydrogen system (1) and the coal chemical system (2), wherein the data acquisition module (31) is used to respectively acquire real-time operation data of the green electricity and green hydrogen system (1) and the coal chemical system (2); the multi-model computing module (32) is used to construct digital twin models of the green electricity and green hydrogen system (1) and the coal chemical system (2) using industrial digital twin technology, and the digital twin model is used to simulate and predict the operation status of the green electricity and green hydrogen system (1) and the coal chemical system (2) according to the real-time operation data to obtain a prediction result, wherein the prediction result includes a first predicted electric energy generated by the solar photovoltaic power generation device at a second prediction time, a wind power generation device at a first prediction time, and a second predicted electric energy generated by the wind power generation device at a second prediction time. The invention relates to a second predicted electric energy generated at a second predicted time, a second predicted output of hydrogen and oxygen generated by the electrolysis device at the second predicted time, a second predicted power consumption consumed by the electrolysis device when generating the second predicted output of hydrogen and oxygen, and a third predicted power consumption consumed by the coal chemical system (2) when consuming the second predicted output of hydrogen and oxygen; the edge computing module (33) is used to calculate the sum of the first predicted electric energy and the second predicted electric energy as the first predicted power generation sum, and to calculate the sum of the second predicted power consumption and the third predicted power consumption as the first predicted power consumption sum; the edge computing module (33) is used to reduce the output of hydrogen and oxygen received by the coal chemical system (2) from the electrolysis device when the current time is the second preset time, the first predicted power consumption sum is not less than the first predicted power generation sum, and the second predicted power consumption sum is less than the first predicted power generation sum.

6. A source-load coordinated green hydrogen coupled coal chemical digital twin system as claimed in claim 5, characterized in that: The data acquisition module (31) comprises a plurality of first gas sensors for detecting a first real-time concentration of hydrogen generated by the electrolysis device, a plurality of second gas sensors for detecting a second real-time concentration of oxygen generated by the electrolysis device, a plurality of temperature sensors for respectively detecting real-time temperatures at a plurality of locations in the green electricity and green hydrogen system (1) and the coal chemical system (2), a plurality of pressure sensors for respectively detecting real-time pressures at a plurality of key nodes in the green electricity and green hydrogen system (1) and the coal chemical system (2), and a flow meter for respectively detecting real-time flow rates of fluids in a plurality of pipelines in the green electricity and green hydrogen system (1) and the coal chemical system (2), wherein the real-time operation data comprises a first real-time concentration, a second real-time concentration, a real-time temperature, a real-time pressure, and a real-time flow rate.

7. A source-load coordinated green hydrogen coupled coal chemical digital twin system as claimed in claim 6, characterized in that: The digital twin model includes a green hydrogen model, a green electricity model, a simulation calculation model, a chemical production model, and a compressor model; the green hydrogen model can simulate the parameters and reaction mechanisms during the production, storage, and use of hydrogen to simulate the production behavior of hydrogen in different production links, and the green hydrogen model is used to predict the power consumption of the electrolysis device; The green electricity model is used to calculate the power supply capacity of the first electric energy and the second electric energy at different production stages; the simulation calculation model can integrate the synergistic effect of green hydrogen and green electricity in the production process to simulate the operating state of the coal chemical system (2) under production conditions; the chemical production model simulates the physical and chemical reactions in the chemical production process to predict and obtain chemical predicted energy consumption and chemical production predicted efficiency; the compressor model is used to simulate the working state of the compressor.

8. A source-load coordinated green hydrogen coupled coal chemical digital twin system as claimed in claim 5, characterized in that: The control system (3) further comprises a safety monitoring module (34), and the edge computing module (33) is further used to analyze the real-time operation data and control the safety monitoring module (34) to issue an alarm signal when the real-time operation data exceeds a corresponding preset range.

9. A source-load coordinated green hydrogen coupled coal chemical digital twin system as claimed in claim 4, characterized in that: The electric energy production component also includes an electric power conversion device, which includes a DC / DC conversion unit and an AC / DC conversion unit. The DC / DC conversion unit can convert the first electric energy and the chemical energy in the battery into direct current electric energy used by the electrolysis device, and the AC / DC conversion unit can convert the second electric energy and the third electric energy into direct current electric energy used by the electrolysis device.

10. A source-load coordinated green hydrogen coupled coal chemical digital twin system as claimed in claim 5, characterized in that: The edge computing module (33) controls the solar photovoltaic power generation device and the wind power generation device to supply the second surplus electric energy generated after the electrolysis device and the coal chemical system (2) are used to the energy storage device when the first predicted power consumption is less than the first predicted power generation; the edge computing module (33) calculates and obtains a first calculated difference between the second predicted power consumption and the first predicted power generation and obtains the first stored electric energy currently stored in the energy storage device; the edge computing module (33) controls the energy storage device to supply power to the electrolysis device when the second predicted power consumption is not less than the first predicted power generation and the first calculated difference is not greater than the first stored electric energy; the edge computing module (33) controls the energy storage device and the external power grid system to supply power to the electrolysis device when the second predicted power consumption is not less than the first predicted power generation and the first calculated difference is greater than the first stored electric energy.

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