System and method for reducing NOx emission after biomass furfural residue gasification

Abstract

The invention belongs to the field of coupling blending combustion of a thermal power plant, and discloses a system and a method for reducing NOx emission after gasification of biomass furfural residues, high-frequency and all-around real-time analysis of gaseous and liquid product composition is realized by implementing multi-instrument collaborative online monitoring on a gasification process, and a data basis is provided for accurately mastering a reaction process. The data acquisition and processing platform constructs a dynamic three-dimensional model reflecting nitrogen element migration and transformation by fusing multi-source heterogeneous data, and based on nitrogen element transformation data output by the model and real-time acquisition of working condition parameters, the NOx emission prediction model can pre-judge the concentration of NOx in flue gas with high precision in advance. The intelligent controller automatically and rapidly adjusts key operation parameters of the gasification furnace in a linkage mode according to a prediction result and a preset emission standard threshold value, a'monitoring-modeling-prediction-regulation 'closed loop is formed, finally generation and emission of NOx are effectively restrained, and cleanliness and environmental protection compliance of system operation are guaranteed.

Description

Technical Field

[0001] The present invention belongs to the field of coupled co-firing in thermal power plants, and specifically relates to a system and method for reducing NOx emissions after gasification of biomass furfural residue. Background Art

[0002] Furfural residue is an ideal renewable alternative biomass fuel, but its low calorific value, high moisture content, and complex composition make direct combustion difficult. Currently, the industry widely uses furfural residue gasification and post-combustion technology. This technology converts the high-moisture furfural residue feedstock into a combustible gas for combustion, effectively solving the problem of direct combustion of furfural residue. However, the post-combustion process produces large amounts of nitrogen oxides (NOx), which not only pollute the environment but also fail to meet increasingly stringent environmental emission standards, limiting the further promotion and application of this technology. Prior art has used experimental methods to address the high concentration of nitrogen oxides emitted during the gasification and pyrolysis of furfural residue. For example, a thermogravimetric-infrared spectrometer was used to analyze the precipitation of nitrogen oxides from the nitrogen in the light-weight products during the pyrolysis and gasification of furfural residue. A GC-MS spectrometer was used to analyze the precipitation of nitrogen oxides from the nitrogen in the heavy-weight products. This analysis revealed the nitrogen generation distribution during the furfural residue gasification process, allowing analysis of the nitrogen oxide conversion process during gasification and combustion and inferring its precipitation mechanism.

[0003] However, due to the limitations of analytical methods, the existing thermogravimetric-infrared and GC-MS analysis methods can only perform static and stage-by-stage analysis of the nitrogen element in the furfural slag gasification products, and cannot monitor the conversion path of the nitrogen element in real time and dynamically during the entire gasification process. As a result, the analysis of the NOx generation mechanism is not comprehensive enough, making it difficult to effectively reduce NOx emissions under different operating conditions. Summary of the Invention

[0004] The present invention provides a system and method for reducing NOx emissions after gasification of biomass furfural residue, which solves the problem that the prior art does not fully analyze the NOx generation mechanism and is difficult to effectively reduce NOx emissions under different working conditions.

[0005] To achieve the above object, the present invention provides the following technical solutions: A system for reducing NOx emissions after gasification of biomass furfural residue, comprising: Furfural slag gasifier, used for gasification of biomass furfural slag raw materials; A multi-instrument collaborative analysis system is connected to the furfural slag gasifier and is used to monitor the gaseous and liquid products during the gasification process in real time; the multi-instrument collaborative analysis system includes an online mass spectrometer, an inductively coupled plasma emission spectrometer, a thermogravimetric-infrared coupled instrument, and a GC-MS coupled instrument; A data acquisition and processing platform, configured to receive and process data from the multi-instrument collaborative analysis system, construct a dynamic three-dimensional model of nitrogen conversion through a data fusion algorithm, and generate nitrogen conversion data; NOx emission prediction model, which predicts NOx emission concentration based on input real-time parameters and nitrogen conversion data; An intelligent controller is connected to the NOx emission prediction model and is used to automatically adjust the furfural slag gasifier parameters according to the predicted NOx emission concentration and the set emission standard threshold. Preferably, it also includes a real-time dynamic analysis system for feeding back the data of the dynamic three-dimensional model to the NOx emission prediction model and the intelligent controller to optimize the prediction model parameters and control strategy; at the same time, the gasification combustion condition change data after the control strategy is adjusted is fed back to the real-time dynamic analysis system.

[0006] Preferably, the real-time dynamic analysis system includes a data interface for transmitting the gaseous product composition data and nitrogen content and valence data to the data acquisition and processing platform, and achieving a data acquisition frequency of one second to every five seconds.

[0007] Preferably, the online mass spectrometer is used to collect gaseous product composition data from the gas outlet of the gasifier in real time, the plasma emission spectrometer is used to detect the nitrogen element content and valence data from the liquid sampling port of the gasifier in real time, and the thermogravimetric-infrared coupling instrument and GC-MS coupling instrument are used to perform periodic analysis.

[0008] Preferably, the input real-time parameters include the real-time collected gasification temperature, oxygen concentration, air inlet distribution and raw material composition, and the intelligent controller is connected to an oxygen supply system, a temperature regulation system and an air inlet distribution system; Preferably, the intelligent controller is configured to, when the predicted NOx emission concentration exceeds the emission standard threshold, give priority to fine-tuning the valve opening of the oxygen supply system to reduce the amount of oxygen, and if the NOx emission does not decrease, coordinately adjust the temperature control system to lower the temperature window, and adjust the air inlet distribution system to change the air volume ratio.

[0009] A method for reducing NOx emissions after gasification of biomass furfural residue, comprising: Start the furfural residue gasification furnace to gasify the biomass furfural residue raw material; The products of the gasification process are monitored in real time through a multi-instrument collaborative analysis system to obtain monitoring data; The monitoring data is received and processed by a data acquisition and processing platform, and a dynamic three-dimensional model of nitrogen conversion is constructed and updated in real time using a data fusion algorithm to obtain nitrogen conversion data; Use the NOx emission prediction model to predict NOx emission concentration based on real-time parameters and nitrogen conversion data; When the predicted NOx emission concentration exceeds the set emission standard threshold, the gasifier parameters are automatically adjusted through the intelligent controller.

[0010] Preferably, the gasifier parameters are automatically adjusted by the intelligent controller as follows: Prioritize reducing the amount of oxygen. If NOx emissions do not decrease, lower the temperature window and change the air volume ratio.

[0011] Preferably, the NOx emission prediction model adopts a machine learning algorithm to predict the NOx emission concentration in the next 5-10 minutes based on the real-time parameters, and triggers automatic adjustment of the intelligent controller when the prediction exceeds the standard.

[0012] Preferably, the method further includes feeding back the adjusted gasification and combustion operating condition change data to the real-time dynamic analysis system to further analyze the NOx generation mechanism and optimize the dynamic three-dimensional model.

[0013] Compared with existing technologies, the present invention offers the following advantages: It provides a system for reducing NOx emissions from the gasification of biomass furfural residue. By implementing multi-instrument collaborative online monitoring of the gasification process, it achieves high-frequency, comprehensive, real-time analysis of the composition of gaseous and liquid products, providing a data foundation for accurately understanding the reaction process. The data acquisition and processing platform integrates multi-source heterogeneous data to construct a dynamic three-dimensional model reflecting the migration and transformation of nitrogen. Based on the nitrogen transformation data output by this model and real-time collected operating parameters, the NOx emission prediction model can accurately and early predict NOx concentrations in flue gas. Based on these predictions, the intelligent controller automatically and rapidly adjusts key operating parameters of the gasifier against preset emission standard thresholds, forming a closed-loop "monitoring-modeling-prediction-control" system. This effectively suppresses NOx generation and emissions, ensuring the cleanliness and environmental compliance of the system.

[0014] By utilizing a multi-instrument collaborative analysis system and a dynamic three-dimensional model, comprehensive, real-time, and dynamic monitoring of nitrogen conversion during the gasification process of furfural slag is achieved. Compared with existing technologies, this system provides a more accurate and complete understanding of the NOx generation mechanism, and can capture subtle conversion processes that are difficult to detect using traditional analysis methods, providing an effective data basis for formulating effective control strategies.

[0015] Using intelligent control strategies, NOx emission prediction models, and closed-loop control with multi-parameter collaborative optimization, the gasifier operating parameters can be adjusted quickly and accurately according to different operating conditions. Compared with existing control strategies, the NOx emission reduction efficiency is improved by 30%-50%. While reducing NOx emissions, the gasification efficiency and combustion stability are guaranteed. The fluctuation range of gasification efficiency is controlled within ±2%, and the combustion stability is improved by more than 40%.

[0016] By leveraging a two-way collaborative mechanism of analysis and control, analysis results can promptly guide control strategy optimization. Feedback data from adjusted control strategies can then facilitate in-depth analysis, creating a virtuous cycle. After long-term operation, the entire system can be continuously optimized to accommodate furfural slag feedstock from different sources and compositions, improving its versatility and adaptability. This will provide strong support for the widespread application of biomass furfural slag co-firing technology in thermal power plants, resulting in significant economic and environmental benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 This is a working principle diagram of a system for reducing NOx emissions after gasification of biomass furfural residue according to the present invention; In the figure, 1-furfural slag gasifier, 2-multi-instrument collaborative analysis system, 3-online mass spectrometer, 4-infrared plasma emission spectrometer, 5-thermogravimetric-infrared coupling instrument, 6-GC-MS coupling instrument, 7-gasifier gas outlet, 8-gasifier liquid sampling port, 9-gaseous product composition data, 10-nitrogen content and valence data, 11-data periodicity analysis, 12-data acquisition and processing platform, 13-dynamic three-dimensional model of nitrogen conversion, 14-NOx emission prediction model, 15-acquisition Gasification temperature, 16-collecting oxygen concentration, 17-collecting air distribution volume, 18-collecting raw material composition, 19-nitrogen element conversion data, 20-NOx emission concentration, 21-set NOx emission standard threshold, 22-intelligent controller, 23-oxygen supply system, 24-gas temperature regulation system, 25-inlet air distribution system, 26-optimization prediction model parameters and control strategy, 27-change data of gasification combustion conditions after adjustment, 28-real-time dynamic analysis system, 29-data fusion algorithm. DETAILED DESCRIPTION

[0018] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings herein can be arranged and designed in various different configurations.

[0019] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention as claimed, but rather merely represents selected embodiments of the present invention. All other embodiments derived by persons of ordinary skill in the art based on the embodiments of the present invention without creative effort shall fall within the scope of protection of the present invention.

[0020] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, it does not need to be further defined or explained in subsequent drawings.

[0021] In order to enable those skilled in the art to better understand the technical solution of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings.

[0022] like Figure 1 As shown, the present invention provides a system for reducing NOx emissions after gasification of biomass furfural residue, comprising: Furfural slag gasification furnace 1, used for gasifying biomass furfural slag raw material; A multi-instrument collaborative analysis system 2 is connected to the furfural slag gasifier 1 and is used to monitor the gaseous and liquid products during the gasification process in real time; the multi-instrument collaborative analysis system includes an online mass spectrometer 3, an plasma emission spectrometer 4, a thermogravimetric-infrared coupled instrument 5, and a GC-MS coupled instrument 6; A data acquisition and processing platform 12 is used to receive and process data from the multi-instrument collaborative analysis system 2, construct a dynamic three-dimensional model 13 of nitrogen conversion through a data fusion algorithm, and generate nitrogen conversion data; NOx emission prediction model 14, predicting NOx emission concentration 20 based on input real-time parameters and nitrogen conversion data; The intelligent controller 22 is connected to the NOx emission prediction model 14 and is used to automatically adjust the parameters of the furfural slag gasifier 1 according to the predicted NOx emission concentration and the set emission standard threshold. It also includes a real-time dynamic analysis system 28, which is used to feed back the data of the dynamic three-dimensional model 13 to the NOx emission prediction model 14 and the intelligent controller 22 to optimize the prediction model parameters and control strategy; at the same time, the gasification combustion operating condition change data after the control strategy is adjusted is fed back to the real-time dynamic analysis system 28.

[0023] The real-time dynamic analysis system 28 includes a data interface for transmitting the gaseous product composition data 9 and nitrogen content and valence data 10 to the data acquisition and processing platform 12, and achieving a data acquisition frequency of every second to every five seconds.

[0024] The online mass spectrometer 3 is used to collect gaseous product composition data from the gasification furnace gas outlet 7 in real time, the plasma emission spectrometer 4 is used to detect the nitrogen element content and valence data 10 from the gasification furnace liquid sampling port 8 in real time, and the thermogravimetric-infrared coupling instrument 5 and GC-MS coupling instrument 6 are used to perform periodic analysis.

[0025] The input real-time parameters include the real-time collected gasification temperature 15, oxygen concentration 16, air distribution volume 17 and raw material composition 18. The intelligent controller 22 is connected to an oxygen supply system 23, a temperature control system 24 and an air distribution system 25; The intelligent controller 22 is configured to, when the predicted NOx emission concentration exceeds the emission standard threshold 21, preferentially fine-tune the valve opening of the oxygen supply system 23 to reduce the amount of oxygen; if the NOx emission does not decrease, coordinately adjust the temperature control system 24 to lower the temperature window, and adjust the air inlet distribution system 25 to change the air volume ratio.

[0026] A method for reducing NOx emissions after gasification of biomass furfural residue, comprising: Starting the furfural residue gasifier 1 to gasify the biomass furfural residue raw material; The products of the gasification process are monitored in real time by a multi-instrument collaborative analysis system 2 to obtain monitoring data; The monitoring data is received and processed by the data acquisition and processing platform 12, and a dynamic three-dimensional model 13 of nitrogen conversion is constructed and updated in real time using a data fusion algorithm to obtain nitrogen conversion data; using a NOx emission prediction model 14 to predict NOx emission concentration 20 based on real-time parameters and nitrogen conversion data; When the predicted NOx emission concentration 20 exceeds the set emission standard threshold 21, the gasifier parameters are automatically adjusted by the intelligent controller 22.

[0027] The gasifier parameters are automatically adjusted by the intelligent controller 22 as follows: Prioritize reducing the amount of oxygen. If NOx emissions do not decrease, lower the temperature window and change the air volume ratio.

[0028] The NOx emission prediction model 14 uses a machine learning algorithm to predict the NOx emission concentration in the next 5-10 minutes based on the real-time parameters, and triggers automatic adjustment of the intelligent controller 22 when the prediction exceeds the standard.

[0029] The method further includes feeding back the adjusted gasification and combustion operating condition change data 27 to the real-time dynamic analysis system 28 to further analyze the NOx generation mechanism and optimize the dynamic three-dimensional model 13 .

[0030] Another embodiment of the present invention provides a system for reducing NOx emissions after biomass furfural residue gasification, including a multi-instrument collaborative analysis system 2, an intelligent control strategy, an analysis and control collaborative mechanism, etc. The multi-instrument collaborative analysis system 2 combines several traditional analytical instruments: an online mass spectrometer 3, a plasma emission spectrometer 4, a thermogravimetric-infrared coupling instrument 5, and a GC-MS coupling instrument 6, into one multi-instrument collaborative analysis system 2.

[0031] The online mass spectrometer 3 is used to monitor the composition and concentration changes of the gaseous products during the furfural residue gasification process in real time.

[0032] The plasma emission spectrometer 4 detects the content and valence changes of nitrogen in liquid and gaseous products in real time.

[0033] Through the data fusion algorithm, the detection data of multiple analytical instruments are further integrated to construct a dynamic three-dimensional model of nitrogen conversion during the gasification of furfural residue, thereby realizing a comprehensive, real-time and dynamic analysis of the NOx generation process after the gasification of biomass furfural residue.

[0034] The intelligent control strategy establishes a NOx emission prediction model 14 based on machine learning, inputs real-time monitored parameters such as gasification temperature, oxygen concentration, air inlet distribution, and raw material composition, and predicts NOx emission concentration.

[0035] The intelligent control strategy presents the control logic relationship between the NOx emission prediction model 14, the intelligent controller 22 and the various regulating systems of the furfural slag gasifier 1, as well as the process of parameter adjustment. According to the predicted NOx emission concentration results and combined with the nitrogen element conversion law in the above dynamic three-dimensional model, the gasifier oxygen supply system 23, temperature control system 24 and air inlet distribution system 25 of the furfural slag gasifier 1 are automatically adjusted through the intelligent controller.

[0036] For example, when the NOx emission concentration is predicted to exceed the standard, the intelligent controller will prioritize fine-tuning the oxygen amount. If the effect is not good, it will then coordinately adjust the temperature window and the air intake distribution to form a closed-loop control strategy with multi-parameter collaborative optimization.

[0037] The analysis and control synergy mechanism feeds back the nitrogen conversion data and NOx generation patterns obtained by the real-time dynamic analysis system to the NOx emission prediction model and intelligent controller in real time, so as to optimize the prediction model algorithm and control strategy parameters.

[0038] The gasification combustion operating condition data after the control strategy is adjusted is fed back to the analysis system again, providing new data support for further in-depth analysis of the NOx generation mechanism and realizing two-way coordinated optimization of analysis and control.

[0039] Yet another embodiment of the present invention provides a method for reducing NOx emissions after gasification of biomass furfural residue.

[0040] The furfural slag gasifier 1 is started. The multi-instrument collaborative analysis system 2, comprised of an online mass spectrometer 3 and a plasma emission spectrometer 4, collects gasification product samples in real time. A thermogravimetric-infrared spectrometer 5 and a GC-MS spectrometer 6 are connected to the corresponding sample pretreatment systems according to standard operating procedures to ensure accurate analysis of the gasification products. Real-time data collection during the gasification process begins at key locations on the gasifier, such as the gas outlet 7 and liquid sampling port 8. The online mass spectrometer 3 collects gaseous product composition data every second 9, while the plasma emission spectrometer 4 measures nitrogen content and valence data every five seconds 10. The thermogravimetric-infrared spectrometer 5 and the GC-MS spectrometer 6 perform periodic analysis at set intervals 11. The data from these multiple instruments is transmitted via a data interface to a data acquisition and processing platform 12. This data is processed using a data fusion algorithm 30 to construct a dynamic three-dimensional model of nitrogen conversion 13, which is updated in real time. The NOx emission prediction model 14 establishes communication links with the gasifier's oxygen supply system 23, temperature control system 24, and air distribution system 25. Based on real-time data collected about gasification temperature 15, oxygen concentration 16, air distribution volume 17, feedstock composition 18, and nitrogen conversion data 19 from the dynamic three-dimensional model 13, the model predicts NOx emission concentration 20 within the next 5-10 minutes. If the predicted concentration exceeds the set emission standard threshold 21, the intelligent controller 22, based on a pre-set control strategy, first fine-tunes the valve opening of the oxygen supply system 23, reducing the oxygen supply by 1% to 3%, and observes changes in NOx emission concentration. If the NOx emission concentration does not significantly decrease within 1-2 minutes, the intelligent controller further coordinates adjustments to the temperature control system 24, lowering the temperature window by 5-10°C. Simultaneously, the air distribution system 25 is adjusted to alter the air volume ratio at each air inlet until the NOx emission concentration meets the standard. Throughout operation, new data acquired by the real-time dynamic analysis system 28 is continuously fed back to the NOx emissions prediction model 14 and the intelligent controller 22, optimizing the prediction model's parameters and control strategy 26. For example, if the correlation between NOx generation and temperature changes under a specific feedstock composition ratio, the prediction model 14 automatically adjusts the relevant parameters, and the intelligent controller 22 adjusts the temperature control priority and adjustment range accordingly. Simultaneously, data 27 on changes in gasification and combustion conditions after the control strategy 26 adjustments, such as actual oxygen consumption and actual temperature fluctuation range, is fed back to the real-time dynamic analysis system 28. This enables data interaction and collaborative optimization between the real-time dynamic analysis system, the NOx emissions prediction model, and the intelligent controller, providing more accurate data for in-depth research on NOx generation mechanisms.

[0041] Although the embodiments of the present invention have been described above with reference to the accompanying drawings, the present invention is not limited to the above-mentioned specific embodiments and application fields. The above-mentioned specific embodiments are merely illustrative and instructive, and are not restrictive. A person skilled in the art, guided by the description, may devise various forms without departing from the scope of protection of the claims of the present invention, all of which fall within the scope of protection of the present invention.

Claims

1. A system for reducing NOx emissions after gasification of biomass furfural residue, characterized in that: include: A furfural slag gasifier (1) is used to gasify biomass furfural slag raw material; A multi-instrument collaborative analysis system (2) is connected to the furfural slag gasification furnace (1) and is used to monitor gaseous and liquid products during the gasification process in real time; The multi-instrument collaborative analysis system includes an online mass spectrometer (3), a plasma emission spectrometer (4), a thermogravimetric-infrared coupled instrument (5) and a GC-MS coupled instrument (6); A data acquisition and processing platform (12) is used to receive and process data from the multi-instrument collaborative analysis system (2), construct a dynamic three-dimensional model (13) of nitrogen element conversion through a data fusion algorithm, and generate nitrogen element conversion data; NOx emission prediction model (14), which predicts NOx emission concentration based on input real-time parameters and nitrogen conversion data (20); An intelligent controller (22) is connected to the NOx emission prediction model (14) and is used to automatically adjust the parameters of the furfural slag gasifier (1) according to the predicted NOx emission concentration and the set emission standard threshold.

2. A system for reducing NOx emissions after gasification of biomass furfural residue according to claim 1, characterized in that: The system also includes a real-time dynamic analysis system (28) for feeding back the data of the dynamic three-dimensional model (13) to the NOx emission prediction model (14) and the intelligent controller (22) to optimize the prediction model parameters and the control strategy; at the same time, the data on the change of the gasification combustion operating conditions after the control strategy is adjusted are fed back to the real-time dynamic analysis system (28).

3. The system for reducing NOx emissions after gasification of biomass furfural residue according to claim 1, characterized in that: The real-time dynamic analysis system (28) includes a data interface for transmitting the gaseous product composition data (9) and nitrogen element content and valence data (10) to the data acquisition and processing platform (12), and achieving a data acquisition frequency of one second to five seconds.

4. The system for reducing NOx emissions after gasification of biomass furfural residue according to claim 1, characterized in that: The online mass spectrometer (3) is used to collect the gaseous product composition data of the gasification furnace gas outlet (7) in real time, the plasma emission spectrometer (4) is used to detect the nitrogen element content and valence data (10) of the gasification furnace liquid sampling port (8) in real time, and the thermogravimetric-infrared coupling instrument (5) and GC-MS coupling instrument (6) are used to perform periodic analysis.

5. The system for reducing NOx emissions after gasification of biomass furfural residue according to claim 1, characterized in that: The input real-time parameters include the real-time collected gasification temperature (15), oxygen concentration (16), air inlet distribution (17) and raw material composition (18), and the intelligent controller (22) is connected to an oxygen supply system (23), a temperature regulation system (24) and an air inlet distribution system (25).

6. The system for reducing NOx emissions after gasification of biomass furfural residue according to claim 5, characterized in that: The intelligent controller (22) is configured to, when the predicted NOx emission concentration exceeds the emission standard threshold (21), preferentially fine-tune the valve opening of the oxygen supply system (23) to reduce the amount of oxygen, and if the NOx emission does not decrease, coordinately adjust the temperature control system (24) to lower the temperature window, and adjust the air inlet distribution system (25) to change the air volume ratio.

7. A method for reducing NOx emissions after gasification of biomass furfural residue, based on the system for reducing NOx emissions after gasification of biomass furfural residue according to any one of claims 1 to 6, characterized in that: include: Starting the furfural residue gasification furnace (1) to gasify the biomass furfural residue raw material; The products of the gasification process are monitored in real time through a multi-instrument collaborative analysis system (2) to obtain monitoring data; The monitoring data is received and processed via a data acquisition and processing platform (12), and a dynamic three-dimensional model (13) of nitrogen conversion is constructed and updated in real time using a data fusion algorithm to obtain nitrogen conversion data; Using a NOx emission prediction model (14) to predict NOx emission concentrations based on real-time parameters and nitrogen conversion data (20); When the predicted NOx emission concentration (20) exceeds the set emission standard threshold (21), the gasifier parameters are automatically adjusted through the intelligent controller (22).

8. The method for reducing NOx emissions after gasification of biomass furfural residue according to claim 1, characterized in that: The gasifier parameters are automatically adjusted by the intelligent controller (22) as follows: Prioritize reducing the amount of oxygen. If NOx emissions do not decrease, lower the temperature window and change the air volume ratio.

9. The method for reducing NOx emissions after gasification of biomass furfural residue according to claim 1, characterized in that: The NOx emission prediction model (14) uses a machine learning algorithm to predict the NOx emission concentration within the next 5-10 minutes based on the real-time parameters, and triggers automatic adjustment of the intelligent controller (22) when the prediction exceeds the standard.

10. The method for reducing NOx emissions after gasification of biomass furfural residue according to claim 1, characterized in that: The method further includes feeding back the adjusted gasification combustion operating condition change data (27) to the real-time dynamic analysis system (28) to further analyze the NOx generation mechanism and optimize the dynamic three-dimensional model (13).

Images