A molten salt carbonization method and system based on combustible gas component regulation

Abstract

The present application belongs to the technical field of biomass energy, and discloses a molten salt carbonization method based on combustible gas component regulation, which comprises the following steps: constructing a biomass carbonization product generation model; determining the correlation mechanism of biomass products and heat; forming the correlation law of molten salt flow, temperature and heat; based on the correlation mechanism obtained in steps S2 and S3, a product of biomass and molten salt flow, temperature regulation model can be established. Based on the calorific value of the target biochar, the corresponding synchronous generation of gaseous product content and real-time concentration can be obtained, and the required heat for completing the whole carbonization process can be consulted. In the process of heat exchange of biomass, the molten salt supplies heat to the biomass, and the heat release leads to the decrease of the molten salt temperature. Therefore, by detecting the real-time temperature of the molten salt, the molten salt flow is regulated according to the required heat of the carbonization process.

Description

TECHNICAL FIELD

[0001] The present application belongs to but is not limited to the field of biomass energy technology, and particularly relates to a molten salt carbonization method and system based on combustible gas component regulation. BACKGROUND

[0002] Biomass energy is the fourth largest energy in the world after the three major fossil energies, and is also the only carbon source in renewable energy, with the characteristics of carbon neutrality. Biomass carbonization technology, i.e. under inert and anaerobic conditions, makes biomass slowly decompose to produce solid coke, which can realize the double recovery of matter and energy. The biomass carbonization process is an endothermic process, which requires a large amount of heat. Among many heat supply methods, molten salt heat storage technology, i.e. heating solid inorganic salt to above its melting point to form a liquid molten system, can realize efficient storage of heat. Molten salt heat storage coupled with biomass carbonization technology can effectively reduce the cost required for biomass carbonization. However, the biomass carbonization process is sensitive to temperature, and too high or too low temperature will affect the decomposition process of biomass macromolecules, and then affect the yield and quality of biochar, which shows that the heat of molten salt must be precisely matched. Therefore, there is an urgent need for a molten salt carbonization method based on combustible gas component regulation. SUMMARY

[0003] In view of the problems existing in the prior art, the present application provides a molten salt carbonization method based on combustible gas component regulation.

[0004] The present application is implemented as follows: a molten salt carbonization method based on combustible gas component regulation, the method comprising:

[0005] S1: constructing a biomass carbonization product generation model;

[0006] S2: determining the correlation mechanism of biomass product and heat;

[0007] S3: forming the correlation law of molten salt flow, temperature and heat;

[0008] S4: based on the correlation mechanism obtained in steps S2 and S3, a product of biomass and molten salt flow, temperature regulation model can be established.

[0009] Further, the S1 specifically comprises:

[0010] Based on the machine learning method, the specific heat capacity parameters of biomass are obtained, and the correlation between the product and the temperature of the biomass carbonization process (in the range of 500-800℃) is obtained. The gaseous product contains CO2, CO, H2 and CH4 four kinds of small molecule gases, and the solid product is biochar; the following curve relationship can be further obtained: the horizontal coordinate is the temperature (℃), the left vertical coordinate is the total content (%) and the real-time concentration (mg / cm2) of the generated gaseous product, and the right vertical coordinate is the solid product (biochar) content (%). -3), the right ordinate is the calorific value of the biochar (MJ / kg).

[0011] Further, the S2 specifically includes:

[0012] Based on the content and temperature change of gaseous products in the carbonization process, the known biomass input mass and average specific heat capacity parameters, the heat required in the biomass carbonization process can be further calculated; the following curve relationship under different input mass conditions can be obtained: the abscissa is the input heat (MJ), and the ordinate is the total content (%) and real-time concentration (mg / cm -3 ) of gaseous product generation, respectively.

[0013] Further, the S3 specifically includes:

[0014] Based on the test, the specific heat capacity parameters of the molten salt at different temperatures can be obtained; and according to the formula Q = mcΔt, the correlation model of the molten salt flow, temperature and heat at different temperatures can be established.

[0015] Further, the S4 specifically includes:

[0016] Based on the calorific value of the target biochar, the content and real-time concentration of the corresponding synchronous generated gaseous product can be known, and the required heat for completing the whole carbonization process can be consulted; the molten salt supplies heat to the biomass in the process of heat exchange with the biomass, and the heat release causes the temperature of the molten salt to decrease; thus, by detecting the real-time temperature of the molten salt, the molten salt flow is regulated according to the required heat in the carbonization process.

[0017] Another purpose of the present application is to provide a molten salt carbonization system based on the combustible gas component regulation based on the combustible gas component regulation based on the molten salt carbonization method, which specifically includes:

[0018] A product generation model construction module is configured to construct a biomass carbonization product generation model.

[0019] A mechanism clear module is connected with the product generation model construction module and configured to clarify the correlation mechanism between the biomass product and the heat.

[0020] A rule correlation module is connected with the product generation model construction module and configured to form a correlation rule of the molten salt flow, temperature and heat.

[0021] A regulation model establishment module is connected with the mechanism clear module and the rule correlation module, and is configured to establish a regulation model of the biomass product and the molten salt flow and temperature based on the correlation mechanism and the rule.

[0022] Another purpose of the present application is to provide a computer device, which includes a memory and a processor, the memory stores a computer program, and the computer program is executed by the processor to make the processor execute the steps of the combustible gas component regulation based on the molten salt carbonization method.

[0023] Another object of the present application is to provide a computer-readable storage medium storing a computer program, which, when executed by a processor, causes the processor to perform the steps of the molten salt carbonization method based on combustible gas component regulation.

[0024] Another object of the present application is to provide an information data processing terminal for implementing the molten salt carbonization system based on combustible gas component regulation.

[0025] In combination with the above technical solutions and solved technical problems, the technical solution to be protected by the present application has the following advantages and positive effects:

[0026] Firstly, the present application effectively solves the technical problem that the existing biomass carbonization process is sensitive to temperature, and that excessively high or low temperature will affect the decomposition process of biomass macromolecules, and further affect the yield and quality of biochar. Based on the calorific value of the target biochar, the content and real-time concentration of the corresponding gaseous products generated simultaneously can be obtained, and the required heat for completing the entire carbonization process can be consulted. The molten salt supplies heat to the biomass during heat exchange, and the heat release will cause the temperature of the molten salt to decrease. Therefore, by detecting the real-time temperature of the molten salt, the molten salt flow is regulated according to the required heat of the carbonization process.

[0027] Secondly, the technical solution of the present application can be used for molten salt energy storage coupled with solid waste heat treatment technology to realize precise matching of energy supply and demand in the solid waste heat treatment process and help the preparation of high-value fuel from solid waste. With the aid of machine learning methods, a biomass pyrolysis energy consumption data model is constructed based on the gas emission characteristics of multiple biomasses, and a novel energy supply mechanism is proposed based on the energy consumption model to realize precise dynamic adjustment of the molten salt flow. BRIEF DESCRIPTION OF DRAWINGS

[0028] Figure 1 is a molten salt carbonization method flowchart based on combustible gas component regulation provided by an embodiment of the present application;

[0029] Figure 2 is a molten salt carbonization system structure diagram based on combustible gas component regulation provided by an embodiment of the present application;

[0030] In the figure: 1, model generation construction module; 2, mechanism clarification module; 3, rule correlation module; 4, regulation model establishment module. DETAILED DESCRIPTION

[0031] In order to make the purpose, technical solution and advantages of the present application more clear and explicit, the present application will be further described in detail below in combination with embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and do not limit the present application.

[0032] As Figure 1 shown, the embodiment of the present application provides a molten salt carbonization method based on combustible gas component regulation, which comprises:

[0033] S1: constructing a biomass carbonization product generation model;

[0034] S2: determining the correlation mechanism of biomass product and heat;

[0035] S3: forming the correlation law of molten salt flow, temperature and heat;

[0036] S4: based on the correlation mechanism obtained in steps S2 and S3, a product of biomass and molten salt flow, temperature regulation model can be established.

[0037] In this stage, the pyrolysis reaction process of biomass under different temperatures and environmental conditions is analyzed through experiments and numerical simulation, and a carbonization product generation model is established. This model can describe the proportion of solid phase (biochar), liquid phase (tar) and gas phase (combustible gas) produced by the decomposition of biomass in the molten salt environment, and determine the reaction rate and material migration characteristics combined with the kinetic parameters.

[0038] This stage focuses on analyzing the input, transfer and distribution law of heat in the biomass carbonization process, and studying the energy required for pyrolysis reaction and the heat effect of product generation. Through experimental determination of product distribution under different temperatures and heating rates, a mathematical correlation model between biomass product and heat supply is established to optimize the heat energy utilization efficiency and improve the selectivity of target products.

[0039] In the molten salt carbonization process, molten salt not only acts as a heat carrier, but also participates in mass transfer and catalysis, so it is necessary to clarify the relationship between its flow rate, temperature and system heat balance. By regulating the flow rate, temperature gradient and contact time of molten salt, the influence of molten salt on carbonization rate, product distribution and reaction thermodynamics is studied, so as to obtain the best operating parameters of molten salt system.

[0040] Combining the heat and molten salt parameter correlation law obtained in the second and third stages, a regulation model of biomass product with molten salt flow and temperature change is further established. This model can be used to predict the product composition and energy conversion efficiency under different working conditions, realize precise control of the biomass carbonization process, improve the quality of carbonization products and the adjustability of combustible gas components, so as to meet different application requirements.

[0041] The S1 specifically includes:

[0042] Based on the machine learning method, the specific heat capacity parameters of biomass are obtained, and the correlation between the products and temperature of the biomass carbonization process (500-800℃) is obtained. The gaseous products include CO2, CO, H2, and CH4, and the solid product is biochar. The following curve relationship can be further obtained: the horizontal coordinate is the temperature (℃), the left vertical coordinate is the total content of the generated gaseous products (%), and the real-time concentration (mg / cm -3 ) is the right vertical coordinate of the calorific value of biochar (MJ / kg).

[0043] The S2 specifically includes:

[0044] Based on the content and temperature change of the gaseous products in the carbonization process, the known biomass input mass and average specific heat capacity parameters can be further calculated to obtain the heat required for the biomass carbonization process. The following curve relationship can be obtained under different input mass conditions: the horizontal coordinate is the input heat (MJ), and the vertical coordinate is the total content of the generated gaseous products (%) and the real-time concentration (mg / cm -3 ).

[0045] The S3 specifically includes:

[0046] Based on the test, the specific heat capacity parameters of the molten salt at different temperatures can be obtained. According to the formula Q = mcΔt, the correlation model of the molten salt flow, temperature, and heat at different temperatures can be established.

[0047] The S4 specifically includes:

[0048] Based on the calorific value of the target biochar, the corresponding synchronous generated gaseous product content and real-time concentration can be obtained, and the required heat for the complete carbonization process can be consulted. The molten salt supplies heat to the biomass in the process of heat exchange, and the heat release will cause the temperature of the molten salt to decrease. Therefore, by detecting the real-time temperature of the molten salt, the molten salt flow can be regulated according to the heat required for the carbonization process.

[0049] Using the machine learning method, first, the experimental data of biomass at each temperature point in the carbonization process of 500-800℃ is collected, including the total content and real-time concentration data (unit: mg / cm 3 ) of gaseous products (CO2, CO, H2, CH4) and the calorific value data (unit: MJ / kg) of biochar, and the specific heat capacity parameters of biomass are obtained. Through data fitting, a mathematical model is constructed with the horizontal coordinate as the temperature, the left vertical coordinate as the gaseous product generation amount (% and concentration), and the right vertical coordinate as the biochar calorific value, forming a product generation curve based on temperature change.

[0050] In the carbonization process, according to the experimental determination of the gaseous product content and temperature change data, combined with the known input mass of biomass and its average specific heat capacity parameters, the heat required for biomass carbonization is calculated through the heat balance formula. The function relationship between the total content of gaseous products and real-time concentration under different input mass conditions is established with the input heat (unit: MJ) as the abscissa, and the correlation mechanism model of heat and product generation is formed.

[0051] The molten salt is tested at different temperatures to obtain the specific heat capacity parameter data. According to the formula Q = mcΔt, the mathematical correlation model of molten salt flow (unit: kg / s or L / s), temperature (℃) and transferred heat (MJ) is established by using the test data. Through fitting the experimental data, the quantitative relationship curve between the molten salt flow, temperature and heat in a certain temperature range is formed.

[0052] Based on the correlation mechanism of heat required for biomass carbonization and product generation obtained in step 2, and the correlation law of molten salt flow, temperature and heat in step 3, combined with the target biochar heat value requirement, a regulation mathematical model of biomass product and molten salt flow, temperature is established. The model calculates the required adjustment of the molten salt flow parameter by inputting the target product parameters and real-time measurement of the molten salt temperature.

[0053] In the actual operation process, the temperature, flow and related heat data of the molten salt are collected in real time by the sensor, and the generation data of the biomass carbonization product are monitored. Using these data, the parameter calibration of the mathematical models established in steps 1 to 4 is carried out to ensure the good consistency and accuracy of the data input and output between the models, so as to form a closed-loop data acquisition and correction system.

[0054] The method sequentially includes constructing a biomass carbonization product generation model, clarifying the correlation between biomass product and heat, forming the correlation law of molten salt flow, temperature and heat, and establishing a biomass product and molten salt flow, temperature regulation model based on the above correlation mechanism. The parameter transmission and information intercommunication between the steps are realized through data acquisition and model correction, and a complete and closed-loop mathematical model system from biomass input to molten salt regulation is formed.

[0055] As shown in Figure 2 The embodiment of the present application provides a molten salt carbonization system based on the combustible gas component regulation based on the combustible gas component regulation based on the molten salt carbonization method, and the system specifically comprises:

[0056] The generation model construction module 1 is used for constructing a biomass carbonization product generation model;

[0057] The mechanism clarification module 2 is connected with the generation model construction module and is used for clarifying the correlation mechanism of the biomass product and the heat;

[0058] The regularity correlation module 3 is connected with the generation model construction module, and a correlation law of molten salt flow, temperature and heat is formed.

[0059] The regulation model establishment module 4 is connected with the mechanism clear module 2 and the regularity correlation module 3, and a product of biomass and a molten salt flow, temperature regulation model is established based on the correlation mechanism and the law.

[0060] The combustible gas component regulation-based molten salt carbonization system provided by the application comprises four main modules: a generation model construction module 1, a mechanism clear module 2, a regularity correlation module 3 and a regulation model establishment module 4, and each module is connected with each other through a physical or data interface, forming a closed-loop data acquisition, processing and model establishment system for realizing automatic modeling of the relationship between the biomass carbonization process and the molten salt parameters.

[0061] The generation model construction module 1 is used for constructing a biomass carbonization product generation model, and the module adopts a preset machine learning algorithm to collect and fit gaseous product (CO2, CO, H2, CH4) and solid product (biochar) data generated in the biomass carbonization process at 500 DEG C to 800 DEG C, establishes a mathematical relationship between temperature and product generation data, and generates a corresponding curve data model.

[0062] The mechanism clear module 2 is connected with the generation model construction module 1, and the module utilizes biomass input mass and average specific heat capacity parameters to establish a mathematical correlation between heat input and product generation in the biomass carbonization process through data processing, and outputs a set of quantitative data and curve models describing the relationship between heat and gaseous and solid products.

[0063] The regularity correlation module 3 is connected with the generation model construction module 1, and the module establishes a correlation model between molten salt flow, temperature and transferred heat through statistical analysis on the specific heat capacity test data of the molten salt under different temperature conditions, and forms corresponding mathematical expressions and curve data for describing the quantitative relationship between the molten salt parameters and the heat.

[0064] The regulation model establishment module 4 is connected with the mechanism clear module 2 and the regularity correlation module 3, and the module establishes a regulation mathematical model between the biomass carbonization product and the molten salt flow, temperature regulation parameters based on the aforementioned established correlation mechanism and law through data integration and model fusion, and forms a complete regulation data system to provide parameter basis for real-time regulation of the molten salt flow and temperature.

[0065] The application also provides a computer device, which comprises a memory and a processor, the memory stores a computer program for implementing the above-mentioned molten salt carbonization method, and the processor performs data processing and model establishment according to the above-mentioned steps when executing the program; meanwhile, the application provides a computer readable storage medium and an information data processing terminal for implementing and running the above-mentioned system, and information sharing and collaborative processing are realized between the devices through a data communication interface.

[0066] The molten salt carbonization system based on combustible gas component regulation of the application can be widely applied in the fields of biomass energy, environmental protection, resource recycling, etc., and is particularly suitable for the following related products and industries:

[0067] 1) Biomass charcoal-based material preparation: The system can be used to produce high-quality biomass charcoal materials, such as agricultural waste charcoal, bamboo charcoal, charcoal, etc., which are widely used in agricultural soil improvement, adsorption materials and environmental protection filter media.

[0068] 2) Renewable energy production: The technology can be used to optimize the biomass pyrolysis gas production process, improve the yield of combustible gases such as hydrogen (H2) and methane (CH4), and thus improve the calorific value of biomass gas, which is applied to clean energy supply.

[0069] 3) Carbon fixation and carbon capture: By precisely controlling the temperature and molten salt flow during the biomass carbonization process, the yield of biochar is improved, and the carbon fixation capacity is improved.

[0070] 4) Coal replacement and new energy development: The system can be applied to the production of biomass carbonization fuel, so that biochar can replace traditional coal in industrial combustion, metallurgy, power plant energy supply, etc., improve the utilization rate of renewable fuels, and reduce fossil energy consumption.

[0071] The molten salt carbonization system of the application achieves superior effects that cannot be achieved by traditional biomass pyrolysis technology through the following technical means:

[0072] 1) Improve the selectivity of combustible gas components: Experiments show that, compared with traditional biomass pyrolysis systems, the application improves the proportion of high-calorific-value gases such as H2 and CH4 by 20%-30% through precise regulation of molten salt flow and temperature, thereby improving the quality of fuel gas.

[0073] 2) Optimize biochar yield: Through comparative experiments, the molten salt carbonization method using the system can increase the yield of biochar by about 10%-15%, improve its pore structure, and increase its specific surface area, so that it has better application value in soil improvement and catalyst carrier.

[0074] 3) Improve heat utilization efficiency: Compared with traditional direct heating pyrolysis process, the invention utilizes the high specific heat capacity and stable heat transfer characteristics of molten salt to improve the uniformity of heat transfer, increase the pyrolysis efficiency by about 25%, and reduce the energy consumption cost of the system.

[0075] 4) Intelligent regulation and model optimization: The system realizes intelligent regulation of carbonization process through machine learning and big data analysis. Test results show that the prediction error of target products based on the regulation model constructed by the system can be reduced to within 5%, ensuring process stability and product quality consistency.

[0076] The above experimental data is derived from actual test results in laboratory pilot and pilot phase, and further industrial application verification is in progress to ensure the feasibility and applicability of the technology.

[0077] The above is only a specific embodiment of the present application, but the protection scope of the present application is not limited thereto, and any modification, equivalent replacement and improvement within the technical range disclosed by the present application, which is within the spirit and principles of the present application, should be covered within the protection scope of the present application.

Claims

1. A molten salt carbonization process based on combustible gas component regulation, characterized by, The method comprises: S1, obtaining the specific heat capacity parameters of biomass based on a machine learning method, and establishing the curve relationship between the gaseous products and the temperature and the solid products in the biomass carbonization process in the range of 500-800℃; S2, based on the measured gaseous product content and temperature change in the carbonization process, the known biomass input mass and the average specific heat capacity parameters, calculating the heat required in the biomass carbonization process, and establishing the curve relationship between the input heat and the total content and real-time concentration of the generated gaseous products; S3, obtaining the specific heat capacity parameters of the molten salt at different temperatures by testing, and establishing the correlation model between the molten salt flow, temperature and heat according to the formula Q=mcΔt; S4, based on the calorific value of the target biochar, obtaining the corresponding synchronous generated gaseous product content and real-time concentration, and consulting the required heat for completing the whole carbonization process; by detecting the real-time temperature of the molten salt, the molten salt flow is regulated according to the heat required in the carbonization process; In the S1 step, the established curve relationship takes temperature (℃) as the horizontal coordinate, takes the total content (%) and real-time concentration (mg / cm - ³) of gaseous products as the left vertical coordinate, and takes the heat value (MJ / kg) of the biochar as the right vertical coordinate. In the S2 step, the heat calculated by the known biomass input mass and average specific heat capacity parameters is taken as the abscissa, and the total content (%) and real-time concentration (mg / cm-3) of the generated gaseous products are taken as the ordinate to form a curve relationship; In the S3 step, the specific heat capacity parameters of the molten salt at different temperatures are obtained by testing, and a mathematical correlation model between the molten salt flow, temperature and heat is established using the formula Q=mcΔt; In the process of obtaining the specific heat capacity parameters of biomass by the machine learning method, a data acquisition and fitting algorithm is used to determine the gaseous product and biochar generation data at each temperature point in the biomass carbonization process.

2. The molten salt carbonization process according to claim 1, characterized in that, In the process of establishing the correlation model between the molten salt flow, temperature and heat, the specific heat capacity test data of the molten salt at multiple temperature conditions are statistically processed to determine the mathematical expression between the molten salt flow, temperature and heat.

3. A computer device, comprising: The computer device comprises a memory and a processor, the memory stores a computer program, and the computer program is executed by the processor to make the processor execute the steps of the molten salt carbonization method based on the combustible gas component regulation according to any one of claims 1-2.

4. A computer readable storage medium storing a computer program, the computer program being executed by a processor to make the processor execute the steps of the molten salt carbonization method based on the combustible gas component regulation according to any one of claims 1-2.

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