Method for establishing multi-component gasification raw material mixing model, prediction method and system

Abstract

The invention provides a method for establishing a multi-component gasification raw material mixing model, a prediction method and a prediction system. The modeling method comprises the following steps: S1, collecting at least two groups of data; each group of data comprises ash components and ash melting points of the gasification raw materials; the gasification raw materials comprise at least two biomasses, and in each gasification raw material, the mixing ratios of the biomasses are different; and S2, substituting the data in the step S1 to obtain a fitting coefficient, and establishing a prediction model. According to the invention, biomass raw materials with complementary ash components are selected, the ash melting point can be calculated according to the ratio of different raw materials, the appropriate gasification temperature is selected, and the process operation of the gasification device is optimized; and a reasonable interval of the gasification temperature can be given according to the slag discharge requirement of the gasification furnace, so that selection and preparation of biomass raw materials are guided, complementation and regulation of various biomasses are realized, and the method has obvious effects in the aspects of perfecting a raw material supply system, regulating an ash fusion point and the like.

Description

Technical Field

[0001] The present invention relates to the field of entrained flow gasification, and in particular to a method for establishing a multi-component gasification raw material mixing model, and a method and system for predicting a mixing ratio and an ash melting point. Background Art

[0002] Biomass gasification technology has rapidly developed as a thermochemical process in recent years. It is one of the most practical and promising routes for achieving high-quality and efficient utilization of biomass energy. Compared to fixed-bed and fluidized-bed gasification, entrained-flow gasification offers advantages such as high reaction temperatures, tar-free syngas, and environmental friendliness, making it a research hotspot in the biomass gasification field. Selecting the appropriate gasification temperature is crucial for the biomass entrained-flow gasification process. Entrained-flow gasification typically utilizes liquid slagging, which means the gasification temperature must be above the ash melting point of the feedstock to ensure smooth ash discharge. Furthermore, to extend the service life of the refractory materials, the operating temperature of the gasifier should generally not exceed 1600°C. Therefore, when designing and operating a gasifier, it is necessary to comprehensively consider the feedstock characteristics and equipment durability, and precisely control the furnace temperature to achieve an efficient and stable gasification process.

[0003] However, in industrial applications, the presence of high-melting-point chemical components such as SiO2, CaO, Al2O3 in the ash of biomass raw materials, as well as the influence of factors such as alkali metal oxides, Fe content and residual carbon content, lead to high ash melting points in many biomass raw materials. This poses a challenge to the control of biomass entrained flow gasification temperature. The co-gasification of multiple raw materials, especially the regulation of the complementary characteristics of different biomass ash components, provides a reference for reducing the ash melting point and gasification temperature of raw materials. Moreover, biomass resources are scattered and complex, and the supply of a single raw material will be limited by environmental factors such as season and region. Therefore, the co-gasification of multiple raw materials is also one of the development directions to ensure the stable supply and efficient utilization of biomass raw materials.

[0004] Although micron-scale crushing and pulverization are currently used to eliminate material anisotropy, the nonlinear variation characteristics of the ash melting point of the mixed raw materials are significant, and clear control rules for the eutectic effect and acid / base oxide coordination mechanism of the mixed ash have not yet been established. This poses a major challenge to the design of the mixing scheme of multi-component raw materials. Existing studies mostly estimate the mixing effect based on the linear superposition of single-component ash melting point data. The prediction deviation from the measured value generally exceeds 50°C, which cannot meet the design accuracy requirements of the gasification temperature for industrial operation. How to establish a quantitative mapping relationship between ash component-melting phase-temperature threshold and realize the two-way optimization of multi-raw material mixing scheme and gasification temperature range based on the complementary ash components has become the key to the development of multi-component biomass co-gasification technology. Summary of the Invention

[0005] To overcome the drawbacks of existing technologies, such as the difficulty in providing a stable supply of single biomass, the high ash melting point, and the unclear technical approach to reducing the ash melting point using mixing technology, the present invention provides a method, prediction method, and system for establishing a multi-component gasification raw material mixing model. Based on the complementarity and regulation of ash components, a method for establishing a low ash melting point mixing model, a method and system for predicting the mixing ratio and ash melting point can be used to achieve coordinated optimization of raw material mixing and gasification temperature. The present invention can select a suitable gasification temperature based on the ratio of different raw materials by calculating the ash melting point, thereby optimizing the process operation of the gasification device. It can also provide a reasonable range of gasification temperatures based on the slag discharge requirements of the gasifier, thereby guiding the selection of biomass raw materials based on the complementarity of ash components, thereby achieving the complementarity and regulation of multiple biomasses. This has a significant effect in improving the raw material supply system and accurately controlling the ash melting point. It can thus guide the preparation of raw materials for the multi-component biomass entrained-flow co-gasification process, improve the biomass gasification raw material supply system, and protect the safe and stable operation of the gasifier, which is of great significance to the sustainable development of the biomass industry.

[0006] The present invention solves the above technical problems through the following technical solutions:

[0007] The present invention provides a method for establishing a multi-component gasification raw material mixing model, which comprises the following steps:

[0008] S1. Collect at least two sets of data; each set of data includes ash composition and ash melting point of gasification feedstock; the gasification feedstock includes at least two biomasses, and the mixing ratio of the biomasses in each gasification feedstock is different; the ash composition of the gasification feedstock includes an acid-base ratio, and the acid-base ratio is calculated as shown in Formula I:

[0009] A / B = w a / w b Formula I

[0010] Wherein, A / B is the acid-base ratio of the gasified raw material, w a is the mass content of acidic oxides in the gasification raw material, w b is the mass content of the basic oxide in the gasification raw material;

[0011] S2. Substituting the data in step S1 into formula II to obtain fitting coefficients, and establishing a prediction model;

[0012] FT = a × (A / B) b Formula II

[0013] Among them, a and b are fitting coefficients.

[0014] In some embodiments, the number of the data is at least 4 groups to cover both sides of the segmentation point of the power function.

[0015] In some embodiments, the acidic oxide includes silicon oxide, aluminum oxide, and titanium oxide.

[0016] In some embodiments, the basic oxide includes iron oxide, calcium oxide, potassium oxide, sodium oxide, and magnesium oxide.

[0017] In the present invention, the acid-base ratio of the gasification raw material can be calculated in two ways: (1) directly detecting the acidic oxides and alkaline oxides in the gasification raw material mixture and calculating the acid-base ratio; (2) separately detecting the acidic oxides and alkaline oxides of each biomass in the gasification raw material and calculating the acid-base ratio in combination with the mixing ratio.

[0018] In a specific embodiment, the acid-base ratio of the gasified raw material is calculated as shown in Formula III or IV:

[0019]

[0020] Among them, w SiO2 、w Al2O3 、w TiO2 、w Fe2O3 、w CaO 、w Na2O 、w K2O 、w MgO are the mass contents of silicon oxide, aluminum oxide, titanium oxide, iron oxide, calcium oxide, sodium oxide, potassium oxide, and magnesium oxide in the gasification raw material respectively; K is the number of types of biomass in the gasification raw material; i is the serial number of each biomass in the gasification raw material; n i is the proportion of one type of biomass in the gasification feedstock.

[0021] In some embodiments, the w a 、w b Obtained by analyzing the ash composition of gasification raw materials.

[0022] In some embodiments, the ash melting point of the gasification raw material is obtained by testing an ash sample using an ash melting point tester, and the ash sample is a combustion product of the gasification raw material; preferably, the ash sample is prepared in a muffle furnace; preferably, the ash melting point of the gasification raw material is measured under a reducing atmosphere.

[0023] In some embodiments, the ash melting point may also be referred to as ash melting temperature, which generally includes deformation temperature, softening temperature, hemisphere temperature and flow temperature; preferably, the ash melting point is the flow temperature; the flow temperature is one of the most critical parameters for achieving liquid slag discharge.

[0024] In some embodiments, the acid-base ratio of the gasification raw material is obtained by measuring the mass content of acidic oxides and basic oxides in the ash sample using an X-ray fluorescence spectrometer and then calculating the ash sample, which is a combustion product of the gasification raw material. Preferably, the ash sample is prepared in a muffle furnace.

[0025] In the present invention, the flow temperature of the gasified raw material decreases first and then increases as the acid-base ratio increases, which conforms to the relationship of formula II.

[0026] In the present invention, the above prediction model can be used to predict the selection of biomass multi-raw materials based on ash melting point. The general process is as follows: according to the gasification furnace temperature and slag discharge requirements, a suitable ash melting point range is proposed, and the raw material ratio is calculated using the prediction model.

[0027] The present invention also provides a method for predicting the mixing ratio of gasification raw materials, comprising the following steps: determining a target ash melting point of the gasification material based on the gasifier operating temperature zone and slag discharge morphology requirements; substituting the target ash melting point into the prediction model of the method for establishing a multi-component gasification raw material mixing model as described above to obtain a predicted value of the acid-base ratio of the target gasification raw material; and then calculating the mixing ratio of each biomass in the target gasification raw material based on the predicted value of the acid-base ratio;

[0028] Alternatively, the target ash melting point range is substituted into the prediction model of the method for establishing a multi-component gasification raw material mixing model as described above to obtain a predicted range of the acid-base ratio of the target gasification raw material; and then, based on the predicted range of the acid-base ratio, the mixing ratio range of each biomass in the target gasification raw material is calculated;

[0029] The biomass in the target gasification raw material is the same as the biomass in the gasification raw material in the prediction model.

[0030] In the present invention, "the biomass in the target gasification raw material is the same as the biomass in the gasification raw material in the prediction model" means that the type of the biomass in the target gasification raw material and the content of the components therein are the same as the type of the biomass in the gasification raw material in the prediction model and the content of the components therein.

[0031] In some embodiments, the target ash melting point is determined according to the operating temperature of the gasification reaction device.

[0032] In a specific embodiment, when solid slag removal is adopted, the target ash melting point is higher than the operating temperature of the gasification reaction device; more preferably, the difference between the operating temperature of the gasification reaction device and the target ash melting point is 50°C to 100°C.

[0033] In a specific embodiment, when liquid slag removal is adopted, the target ash melting point is lower than the operating temperature of the gasification reaction device; more preferably, the difference between the operating temperature of the gasification reaction device and the target ash melting point is 50°C to 100°C.

[0034] In the present invention, the gasification reaction device may be an entrained flow gasifier; the entrained flow gasifier operates efficiently, safely and stably in a furnace temperature range generally between 1200°C and 1600°C.

[0035] In some embodiments, the target ash melting point is 1100°C to 1500°C.

[0036] In some embodiments, the target gasification feedstock includes a first biomass and a second biomass; in the first biomass, the mass content of acidic oxides is greater than or equal to the mass content of basic oxides; and in the second biomass, the mass content of acidic oxides is less than or equal to the mass content of basic oxides. By mixing the first and second biomass, the ash composition can be complemented and controlled.

[0037] In some embodiments, the predicted range of the acid-base ratio is 0.8 to 1.8.

[0038] In the present invention, preferably, the mixing of gasification raw materials is suitable for an entrained-flow co-gasification process in which multiple biomass raw materials are mixed; more preferably, the gasification raw materials include multiple biomass raw materials, and further more preferably include two biomass raw materials.

[0039] The gasification raw materials include two biomass raw materials, and preferably, the acid-base ratios of the two biomass raw materials are oppositely different. The opposite difference means that the acid-base ratio of one biomass raw material is less than 1, and the acid-base ratio of the other biomass raw material is greater than 1.

[0040] The present invention also provides a system for predicting the mixing ratio of gasification raw materials, comprising a prediction module, the prediction module being configured to substitute a target ash melting point into the prediction model of the method for establishing a multi-component gasification raw material mixing model as described above, to obtain a predicted value of the acid-base ratio of the target gasification raw material; and then, based on the predicted value of the acid-base ratio, calculate the mixing ratio of each biomass in the target gasification raw material;

[0041] Alternatively, the prediction module is configured to substitute the target ash melting point range into the prediction model of the method for establishing a multi-component gasification raw material mixing model as described above to obtain a predicted range of the acid-base ratio of the target gasification raw material; and then calculate the mixing ratio range of each biomass in the target gasification raw material based on the predicted range of the acid-base ratio;

[0042] The biomass in the target gasification raw material is the same as the biomass in the gasification raw material in the prediction model.

[0043] In the present invention, the mixing ratio prediction method and prediction system of the gasification raw materials can be used to guide the mixing of biomass raw materials with a target ash melting point; during the mixing process, the biomass raw materials need to be crushed and pulverized at the micron level to reduce the anisotropy of the biomass raw materials and achieve homogenization of multi-component biomass raw materials.

[0044] In the present invention, the above prediction model can also be applied to the gasification furnace optimization operation method based on ash melting point prediction. The general process is as follows: provide raw material composition and ratio, predict ash melting point, and propose appropriate operating furnace temperature based on ash melting point and slag discharge requirements (pay attention to both liquid slag discharge and solid slag discharge).

[0045] The present invention also provides a method for predicting the gasification reaction temperature of a gasification raw material, wherein the acid-base ratio of the gasification raw material to be tested is substituted into the prediction model of the method for establishing a multi-component gasification raw material mixing model as described above to obtain a predicted value of the ash melting point of the gasification raw material to be tested, and then the gasification reaction temperature is predicted based on the predicted value of the ash melting point of the gasification raw material to be tested; the biomass in the gasification raw material to be tested is the same as the biomass of the gasification raw material in the prediction model.

[0046] In some embodiments, the acid-base ratio of the gasification feedstock to be measured is calculated as shown in Formula V or VI:

[0047]

[0048] Wherein, A / B' is the acid-base ratio of the gasified raw material to be tested; w' SiO2 、w' Al2O3 、w' TiO2 、w' Fe2O3 、w' CaO 、w' Na2O 、w' K2O 、w' MgO are the mass contents of silicon oxide, aluminum oxide, titanium oxide, iron oxide, calcium oxide, sodium oxide, potassium oxide, and magnesium oxide in the gasification raw material to be tested respectively; K' is the number of types of biomass in the gasification raw material to be tested; j is the serial number of each biomass in the gasification raw material to be tested; n j is the proportion of one type of biomass in the gasification raw material to be tested.

[0049] In some embodiments, the acid-base ratio of the gasification raw material to be tested is obtained by measuring the mass content of acidic oxides and basic oxides in the ash sample to be tested by X-ray fluorescence spectrometry and then calculating; the ash sample to be tested is a combustion product of the gasification raw material to be tested.

[0050] In some embodiments, the method for predicting the gasification reaction temperature includes: when a solid slag discharge method is adopted, the predicted value of the gasification reaction temperature is the predicted value of the ash melting point of the gasification raw material to be measured minus 50°C to 150°C, preferably 50°C to 100°C; or, when a liquid slag discharge method is adopted, the predicted value of the gasification reaction temperature is the predicted value of the ash melting point of the gasification raw material to be measured plus 50°C to 150°C, preferably 50°C to 100°C.

[0051] The present invention also provides a gasification reaction temperature prediction system for gasification raw materials, which includes a prediction module, wherein the prediction module is used to substitute the acid-base ratio of the gasification raw material to be tested into the prediction model of the method for establishing a multi-component gasification raw material mixing model as described above, to obtain a predicted value of the ash melting point of the gasification raw material to be tested; and then predict the gasification reaction temperature based on the predicted value of the ash melting point of the gasification raw material to be tested; the biomass in the gasification raw material to be tested is the same as the biomass of the gasification raw material in the prediction model.

[0052] The present invention also provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and runnable on the processor. When the processor executes the computer program, it implements the method for establishing a multi-component gasification raw material mixing model as described above, or the method for predicting the mixing ratio of the gasification raw materials as described above, or the method for predicting the gasification reaction temperature of the gasification raw materials as described above.

[0053] In the present invention, the flow temperature of the gasified feedstock decreases first and then increases with increasing acid-base ratio, conforming to the relationship shown in Equation II. This nonlinear relationship is the result of the complementary effects of different biomass ash components (acidic oxides and alkaline oxides). By adjusting the mixing ratio and changing the acid-base ratio, the ash melting point can be actively controlled.

[0054] In the present invention, the above prediction model can be applied to predict the selection of biomass multi-raw materials based on ash melting point. The general process is as follows: according to the gasification furnace temperature and slag discharge requirements, a suitable ash melting point range is proposed, and the raw material ratio is inversely calculated using the prediction model. The core of the process is to utilize the complementary characteristics of different biomass ash components.

[0055] In the present invention, preferably, the mixing of gasification raw materials is suitable for an entrained flow co-gasification process in which a plurality of biomass raw materials are mixed; more preferably, the gasification raw materials include a plurality of biomass raw materials, and further preferably include two biomass raw materials with significant differences in acid-base properties (i.e., the acid-base ratio has an opposite difference) to achieve complementary regulation.

[0056] On the basis of conforming to the common sense in this field, the above-mentioned preferred conditions can be arbitrarily combined to obtain the preferred embodiments of the present invention.

[0057] The reagents and raw materials used in the present invention are commercially available.

[0058] The positive progress effect of the present invention is:

[0059] The present invention can select a suitable gasification temperature and optimize the process operation of the gasification device by calculating the ash melting point according to the ratio of different raw materials; it can also provide a reasonable range of gasification temperature based on the furnace temperature control requirements of the entrained flow co-gasification process and the slag discharge requirements of the gasifier, thereby guiding the selection of biomass raw materials based on the complementary characteristics of ash components, providing a reference for multi-component mixing and preparation, and then realizing the complementarity and regulation of multiple biomasses, which has obvious effects in improving the raw material supply system and accurately controlling the ash melting point; thereby guiding the raw material preparation of the multi-component entrained flow co-gasification process, improving the raw material supply system of the multi-component entrained flow co-gasification process, protecting the safe and stable operation of the gasifier, and having great significance for the sustainable development of the biomass industry. The core innovation of the present invention lies in revealing the nonlinear influence of ash composition (especially acid-base ratio) on ash melting point, and establishing a model and method for actively regulating and controlling the target ash melting point by utilizing the complementary characteristics of ash components of different biomasses. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Figure 1 This is a logical thinking diagram of the mixing method of gasification raw materials in Example 1;

[0061] Figure 2 is a relationship diagram between the flow temperature and the acid-base ratio measured under the experimental conditions in Example 1;

[0062] Figure 3 This is a comparison chart of the predicted value and experimental value of the ash melting point temperature of Effect Example 1. DETAILED DESCRIPTION

[0063] The present invention is further illustrated by way of examples below, but the present invention is not limited to the scope of the examples. Experimental methods in the following examples where specific conditions are not specified were performed according to conventional methods and conditions, or selected according to the product specifications.

[0064] Example 1

[0065] This embodiment discloses a method for mixing gasification raw materials. Figure 1 This is a logical thinking diagram of the mixing method of gasification raw materials in this embodiment, which generally includes the following processes: establishing a model for predicting the mixing of gasification raw materials, predicting the mixing ratio of gasification raw materials or the ash melting point of gasification raw materials, and preparing gasification raw materials for fluidized bed co-gasification.

[0066] The gasification raw material mixing method refers to a multi-raw material mixing and preparation method for biomass entrained flow gasification based on ash component complementation and regulation, and specifically includes the following steps: (1) by testing the ash components of different single biomass raw materials, a model for predicting the gasification raw material mixing is established; (2) with the help of the model, the ash melting point of biomass with different mixing ratios is predicted; or, based on the safe and stable furnace temperature of the entrained flow gasifier, a recommended mixing ratio range of each biomass is given; (3) a micron-level crushing and pulverizing process is used to prepare biomass suitable for entrained flow gasification.

[0067] Furthermore, the method for establishing a multi-component gasification raw material mixing model includes the following steps:

[0068] S1. Collect four sets of data; each set of data includes the acid-base ratio and ash melting point of the gasification feedstock; the gasification feedstock includes two types of biomass, namely biomass 1 and biomass 2;

[0069] According to the sample preparation standard in GB / T 212-2008, biomass 1 and biomass 2 were burned in a N17HR-K muffle furnace produced by Nabertherm, Germany, to produce the two biomass ashes used in the experiment.

[0070] The characteristic melting temperatures of the two biomasses mentioned above in a weakly reducing atmosphere were measured using a 5E-AF4000 ash melting point tester produced by Changsha Kaiyuan Company. The FT of both biomasses was higher than the safe operating range of an entrained-flow gasifier. Table 1 shows the ash melting temperatures, or ash melting points, of various biomass feedstocks.

[0071] Table 1

[0072] sample DT(℃) ST(℃) HT(℃) FT(℃) Biomass 1 1489 1493 1494 >1500 Biomass 2 >1500 >1500 >1500 >1500

[0073] Wherein, DT is the deformation temperature, ST is the softening temperature, HT is the hemisphere temperature, and FT is the flow temperature. Since the flow temperature FT is one of the most critical parameters reflecting liquid slag discharge, this example examines the relationship between the acid-base ratio and the flow temperature FT.

[0074] The main oxide content (the content of other oxides is very small) in the experimental coal ash was measured using an Advant'X IntellipowerTM3600 X-ray fluorescence spectrometer produced by Thermo Fisher Scientific Inc., USA. Table 2 shows the components and contents of various biomass raw materials.

[0075] Table 2

[0076] sample <![CDATA[SiO2]]> <![CDATA[Al2O3]]> CaO <![CDATA[Fe2O3]]> <![CDATA[SO3]]> MgO <![CDATA[K2O]]> <![CDATA[TiO2]]> <![CDATA[Na2O]]> <![CDATA[P2O5]]> Cl Biomass 1 8.01 2.4 41.62 2.5 2.52 2.15 20.89 0.18 12.82 2.46 3.26 Biomass 2 93.02 0.5 0.6 0.39 0.38 0.55 3.16 0.02 0.09 1.07 0.05

[0077] As can be seen from the above table, the acidic oxides (SiO2, Al2O3, TiO2) and alkaline oxides (Fe2O3, CaO, MgO, Na2O, K2O) of the two biomasses have significant complementarity (biomass 1 is rich in alkaline oxides, and biomass 2 is rich in acidic oxides), so they can be mixed and regulated.

[0078] In this embodiment, the acid-base ratio of the gasification raw material can be calculated in two ways: (1) detecting the acidic oxides and alkaline oxides in the gasification raw material mixture and calculating the acid-base ratio; (2) detecting the acidic oxides and alkaline oxides of each biomass in the gasification raw material separately, and calculating the acid-base ratio in combination with the mixing ratio.

[0079] The calculation method of the acid-base ratio of the gasification raw material is as follows:

[0080]

[0081] Among them, A / B is the acid-base ratio of the gasification raw material, w SiO2 、w Al2O3 、w TiO2 、w Fe2O3 、w CaO 、w Na2O 、w K2O 、w MgO are the mass contents of silicon oxide, aluminum oxide, titanium oxide, iron oxide, calcium oxide, sodium oxide, potassium oxide, and magnesium oxide in the gasification raw material respectively; K is 2, which represents the number of types of biomass in the gasification raw material; i is 1 or 2, respectively referring to the serial numbers of biomass 1 and biomass 2 in the gasification raw material; n i is the proportion of biomass 1 in the gasification raw material or the proportion of biomass 2 in the gasification raw material.

[0082] Since the gasification raw material only contains biomass 1 and biomass 2, according to the above acid-base ratio calculation formula, the mass content of biomass 1 in the gasification raw material is n1, and the mass content of biomass 2 in the gasification raw material is 1-n1. After simplification, the relationship between the mass content of biomass 1 and the acid-base ratio is obtained:

[0083] A / B=19.33×n1+0.1318

[0084] Where n1 is the mass content of biomass 1 in the gasification raw material; the variance R of this relationship is 2 is 0.999.

[0085] The following four sets of data were obtained through the ash melting point measurement experiment and the X-ray fluorescence spectrometer experiment: A / B and FT at different mass contents of biomass 1 in the gasification raw material:

[0086] a. When the mass content of biomass 1 in the gasification feedstock is 2%, the A / B ratio of the gasification feedstock is 0.5184; at this time, the FT of the gasification feedstock is measured to be 1128°C;

[0087] b. When the mass content of biomass 1 in the gasification feedstock is 10%, the A / B ratio of the gasification feedstock is 2.0648; at this time, the FT of the gasification feedstock is measured to be 1167°C.

[0088] c. When the mass content of biomass 1 in the gasification feedstock is 20%, the A / B ratio of the gasification feedstock is 3.9978; at this time, the FT of the gasification feedstock is measured to be 1280°C.

[0089] d. When the mass content of biomass 1 in the gasification feedstock is 50%, the A / B ratio of the gasification feedstock is 9.7968; at this time, the FT of the gasification feedstock is measured to be 1436°C.

[0090] S2. Substitute the two sets of data in step S1 into the following formula to obtain fitting coefficients a and b, and establish a prediction model.

[0091] FT = a × (A / B) b

[0092] Fit the data a, b and the data c, d respectively to obtain two power function curves; Figure 2 is the relationship diagram between the flow temperature and the acid-base ratio measured under the experimental conditions in this embodiment, Figure 2 It can be seen that by selecting an appropriate ratio (e.g., the FT is lowest when A / B ≈ 0.86) and utilizing the complementary characteristics of the two biomass ash components (biomass 1 is rich in alkaline oxides, and biomass 2 is rich in acidic oxides), the ash melting point of the mixed raw materials can be significantly reduced, thereby supporting efficient gasification. A prediction formula for the relationship between the flow temperature of biomass ash and the mass ratio of biomass 1 added is established:

[0093]

[0094] This embodiment also discloses a method for predicting the mixing ratio of gasification raw materials, comprising the following steps: substituting a target ash melting point into the prediction model of the method for establishing a multi-component gasification raw material mixing model as described above to obtain a predicted value of the acid-base ratio of the target gasification raw material; and then calculating the mixing ratio of each biomass in the target gasification raw material based on the predicted value of the acid-base ratio;

[0095] Alternatively, the target ash melting point range is substituted into the prediction model of the method for establishing a multi-component gasification raw material mixing model as described above to obtain a predicted range of the acid-base ratio of the target gasification raw material; and then, based on the predicted range of the acid-base ratio, the mixing ratio range of each biomass in the target gasification raw material is calculated;

[0096] The biomass in the target gasification raw material is the same as the biomass in the gasification raw material in the prediction model.

[0097] To meet the requirements for safe and stable operation of entrained-flow gasification, the efficient, safe, and stable operation temperature range of common entrained-flow gasifiers is generally 1200°C to 1600°C. Due to solid-state slagging, the FT is generally 50°C to 100°C below the furnace temperature. Therefore, the FT range is 1100°C to 1500°C. Substituting this FT range into the predictive model for establishing a multi-component gasification feedstock blending model described above, the biomass 1 blending ratio is found to be 3.22% to 72.37%, providing theoretical technical support for feedstock blending and fragmentation in multi-component entrained-flow co-gasification processes.

[0098] This embodiment also discloses a method for predicting the gasification reaction temperature of a gasification raw material. The acid-base ratio of the gasification raw material to be tested is substituted into the prediction model of the method for establishing a multi-component gasification raw material mixing model as described above to obtain a predicted value of the ash melting point of the gasification raw material to be tested. According to the liquid slag discharge requirement, the gasification reaction temperature is 50°C to 100°C higher than the FT. The biomass in the gasification raw material to be tested is the same as the biomass of the gasification raw material in the prediction model.

[0099] Effect Example 1

[0100] This effect example is used to evaluate the prediction accuracy of the prediction model in Example 1. Figure 3 This is a comparison chart between the predicted value and the experimental value of the ash melting point temperature of this embodiment.

[0101] like Figure 3 As shown, when the mixing ratio of biomass 1 in the gasification feedstock is 0% or 100%, the calculated value is consistent with the experimental value. Specifically, when the mixing ratio of biomass 1 in the gasification feedstock is 1%, the error between the calculated and experimental values ​​is 2.16%. Therefore, the maximum difference between the calculated and actual values ​​obtained by the prediction model for other mixing ratios does not exceed 50°C. The model's error for different mixing ratios is less than 4%. This result verifies that the prediction model established based on the acid-base complementary properties of ash components has high accuracy and can effectively guide the control of multi-biomass mixing to achieve the target ash melting point.

Claims

1. A method for establishing a multi-component gasification raw material mixing model, characterized in that: It includes the following steps: S1. Collect at least two sets of data; each set of data includes ash composition and ash melting point of gasification feedstock; the gasification feedstock includes at least two biomasses, and the mixing ratio of the biomasses in each gasification feedstock is different; the ash composition of the gasification feedstock includes an acid-base ratio, and the acid-base ratio is calculated as shown in Formula I: A / B = w a / w b Formula I Wherein, A / B is the acid-base ratio of the gasified raw material, w a is the mass content of acidic oxides in the gasification raw material, w b is the mass content of the basic oxide in the gasification raw material; S2. Substituting the data in step S1 into formula II to obtain fitting coefficients, and establishing a prediction model; FT = a×(A / B) b Formula II Among them, a and b are fitting coefficients.

2. The method for establishing a multi-component gasification raw material mixing model according to claim 1, wherein: The number of the data is at least 4 groups; and / or, the acidic oxides include silicon oxide, aluminum oxide and titanium oxide; and / or, the basic oxides include iron oxide, calcium oxide, potassium oxide, sodium oxide and magnesium oxide; Preferably, the acid-base ratio of the gasified raw material is calculated as shown in Formula III or IV: Among them, w SiO2 、w Al2O3 、w TiO2 、w Fe2O3 、w CaO 、w Na2O 、w K2O 、w MgO are the mass contents of silicon oxide, aluminum oxide, titanium oxide, iron oxide, calcium oxide, sodium oxide, potassium oxide, and magnesium oxide in the gasification raw material respectively; K is the number of types of biomass in the gasification raw material; i is the serial number of each biomass in the gasification raw material; n i is the proportion of one type of biomass in the gasification feedstock; Preferably, the w a 、w b Obtained by analyzing the ash composition of gasification raw materials.

3. The method for establishing a multi-component gasification raw material mixing model according to claim 1, wherein: The ash melting point of the gasified raw material is obtained by testing the ash sample with an ash melting point tester; And / or, the ash melting point includes deformation temperature, softening temperature, hemispherical temperature and flow temperature; preferably, the ash melting point is the flow temperature; And / or, the acid-base ratio of the gasification raw material is obtained by measuring the mass content of acidic oxides and basic oxides in the ash sample using an X-ray fluorescence spectrometer and then calculating; Wherein, the ash sample is a combustion product of the gasified raw material; preferably, the ash sample is prepared in a muffle furnace.

4. A method for predicting the mixing ratio of gasification raw materials, characterized in that: The method comprises the following steps: determining a target ash melting point of the gasified material according to the operating temperature zone of the gasifier and the slag discharge morphology requirements; substituting the target ash melting point into a prediction model of the method for establishing a multi-component gasification raw material mixing model according to any one of claims 1 to 3 to obtain a predicted value of the acid-base ratio of the target gasification raw material; and then calculating the mixing ratio of each biomass in the target gasification raw material based on the predicted value of the acid-base ratio; Alternatively, the target ash melting point range is substituted into the prediction model of the method for establishing a multi-component gasification raw material mixing model according to any one of claims 1 to 3 to obtain a predicted range of the acid-base ratio of the target gasification raw material; and then, based on the predicted range of the acid-base ratio, the mixing ratio range of each biomass in the target gasification raw material is calculated; The biomass in the target gasification raw material is the same as the biomass in the gasification raw material in the prediction model.

5. The method for predicting the mixing ratio of gasification raw materials according to claim 4, wherein: The method for predicting the mixing ratio of gasification raw materials satisfies one or more of the following conditions: ① The target ash melting point is determined according to the operating temperature of the gasification reaction device; Preferably, when solid slag removal is adopted, the target ash melting point is lower than the operating temperature of the gasification reaction device; more preferably, the difference between the operating temperature of the gasification reaction device and the target ash melting point is 50° C. to 100° C.; Preferably, when liquid slag removal is adopted, the target ash melting point is higher than the operating temperature of the gasification reaction device; more preferably, the difference between the operating temperature of the gasification reaction device and the target ash melting point is 50° C. to 100° C.; ② The target ash melting point is 1100°C to 1500°C; ③ The target gasification feedstock includes a first biomass and a second biomass; in the first biomass, the mass content of acidic oxides is greater than or equal to the mass content of basic oxides; in the second biomass, the mass content of acidic oxides is less than or equal to the mass content of basic oxides; ④ The predicted range of the acid-base ratio is 0.8 to 1.8; ⑤ The gasification raw materials include multiple biomass raw materials, preferably two biomass raw materials; Preferably, the acid-base ratios of the two biomass raw materials have opposite differences.

6. A gasification raw material mixing ratio prediction system, characterized in that: The method comprises a prediction module, wherein the prediction module is configured to substitute the target ash melting point into the prediction model of the method for establishing a multi-component gasification raw material mixing model according to any one of claims 1 to 3 to obtain a predicted value of the acid-base ratio of the target gasification raw material; and then calculate the mixing ratio of each biomass in the target gasification raw material based on the predicted value of the acid-base ratio; Alternatively, the prediction module is configured to substitute the target ash melting point range into the prediction model of the method for establishing a multi-component gasification raw material mixing model according to any one of claims 1 to 3 to obtain a predicted range of the acid-base ratio of the target gasification raw material; and then calculate the mixing ratio range of each biomass in the target gasification raw material based on the predicted range of the acid-base ratio; The biomass in the target gasification raw material is the same as the biomass in the gasification raw material in the prediction model.

7. A method for predicting the gasification reaction temperature of a gasified raw material, characterized in that: The acid-base ratio of the gasification raw material to be tested is substituted into the prediction model of the method for establishing a multi-component gasification raw material mixing model as described in any one of claims 1 to 3 to obtain a predicted value of the ash melting point of the gasification raw material to be tested; then, the gasification reaction temperature is predicted based on the predicted value of the ash melting point of the gasification raw material to be tested; the biomass in the gasification raw material to be tested is the same as the biomass of the gasification raw material in the prediction model.

8. The method for predicting the gasification reaction temperature of a gasified raw material according to claim 7, wherein: The calculation method of the acid-base ratio of the gasified raw material to be measured is as shown in Formula V or VI: Wherein, A / B' is the acid-base ratio of the gasified raw material to be tested; w' SiO2 、w' Al2O3 、w' TiO2 、w' Fe2O3 、w' CaO 、w' Na2O 、w' K2O 、w' MgO are the mass contents of silicon oxide, aluminum oxide, titanium oxide, iron oxide, calcium oxide, sodium oxide, potassium oxide, and magnesium oxide in the gasification raw material to be tested respectively; K' is the number of types of biomass in the gasification raw material to be tested; j is the serial number of each biomass in the gasification raw material to be tested; n j is the proportion of one type of biomass in the gasification raw material to be tested; And / or, the acid-base ratio of the gasification raw material to be tested is obtained by measuring the mass content of acidic oxides and basic oxides of the ash sample to be tested by X-ray fluorescence spectrometry and then calculating; the ash sample to be tested is a combustion product of the gasification raw material to be tested; And / or, the method for predicting the gasification reaction temperature includes: when a solid slag discharge method is adopted, the predicted value of the gasification reaction temperature is the predicted value of the ash melting point of the gasification raw material to be measured minus 50°C to 150°C, preferably 50°C to 100°C; or, when a liquid slag discharge method is adopted, the predicted value of the gasification reaction temperature is the predicted value of the ash melting point of the gasification raw material to be measured plus 50°C to 150°C, preferably 50°C to 100°C.

9. A gasification reaction temperature prediction system for gasification raw materials, characterized in that: It includes a prediction module, which is used to substitute the acid-base ratio of the gasification raw material to be tested into the prediction model of the method for establishing a multi-component gasification raw material mixing model as described in any one of claims 1 to 3 to obtain a predicted value of the ash melting point of the gasification raw material to be tested; and then predict the gasification reaction temperature based on the predicted value of the ash melting point of the gasification raw material to be tested; the biomass in the gasification raw material to be tested is the same as the biomass of the gasification raw material in the prediction model.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, it implements the method for establishing a multi-component gasification raw material mixing model as described in any one of claims 1 to 3, or the method for predicting the mixing ratio of gasification raw materials as described in claim 4 or 5, or the method for predicting the gasification reaction temperature of gasification raw materials as described in claim 7 or 8.

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