CN114621778A - Memory, temperature control method, device and equipment for biomass microwave pyrolysis process - Google Patents

Memory, temperature control method, device and equipment for biomass microwave pyrolysis process Download PDF

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CN114621778A
CN114621778A CN202011456478.7A CN202011456478A CN114621778A CN 114621778 A CN114621778 A CN 114621778A CN 202011456478 A CN202011456478 A CN 202011456478A CN 114621778 A CN114621778 A CN 114621778A
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temperature control
microwave
temperature
biomass
control area
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CN114621778B (en
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吴斯侃
宋永一
王鑫
张彪
王博
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Sinopec Dalian Petrochemical Research Institute Co ltd
China Petroleum and Chemical Corp
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China Petroleum and Chemical Corp
Sinopec Dalian Research Institute of Petroleum and Petrochemicals
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    • CCHEMISTRY; METALLURGY
    • C10PETROLEUM, GAS OR COKE INDUSTRIES; TECHNICAL GASES CONTAINING CARBON MONOXIDE; FUELS; LUBRICANTS; PEAT
    • C10BDESTRUCTIVE DISTILLATION OF CARBONACEOUS MATERIALS FOR PRODUCTION OF GAS, COKE, TAR, OR SIMILAR MATERIALS
    • C10B53/00Destructive distillation, specially adapted for particular solid raw materials or solid raw materials in special form
    • CCHEMISTRY; METALLURGY
    • C10PETROLEUM, GAS OR COKE INDUSTRIES; TECHNICAL GASES CONTAINING CARBON MONOXIDE; FUELS; LUBRICANTS; PEAT
    • C10BDESTRUCTIVE DISTILLATION OF CARBONACEOUS MATERIALS FOR PRODUCTION OF GAS, COKE, TAR, OR SIMILAR MATERIALS
    • C10B57/00Other carbonising or coking processes; Features of destructive distillation processes in general
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/08Thermal analysis or thermal optimisation
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E50/00Technologies for the production of fuel of non-fossil origin
    • Y02E50/10Biofuels, e.g. bio-diesel

Abstract

The invention discloses a temperature control method, a temperature control device and temperature control equipment for a storage and a biomass microwave pyrolysis process, wherein the method comprises the following steps: modeling according to a continuous feeding microwave reactor, generating a three-dimensional electromagnetic field model and gridding; dividing the inner cavity of the microwave reactor into a preset number of temperature control areas according to the three-dimensional electromagnetic field model, and respectively setting target temperature intervals of the temperature control areas; acquiring input parameters of a three-dimensional electromagnetic field model; calculating according to input parameters by taking a preset time step as a calculation period to obtain a simulation result of the three-dimensional electromagnetic field model; and respectively judging whether each temperature control area comprises grids exceeding the target temperature interval according to the temperature predicted value of each temperature control area, if so, adjusting the controllable microwave source of the unit grid exceeding the target temperature interval according to a preset rule, and taking the adjusted microwave power as the current microwave power. The invention can improve the temperature control effect of the microwave reactor by improving the response time of the temperature control of the microwave heating biomass microwave pyrolysis process.

Description

Memory, temperature control method, device and equipment for biomass microwave pyrolysis process
Technical Field
The invention relates to the field of chemical processes, in particular to a temperature control method, a temperature control device and temperature control equipment for a storage and a biomass microwave pyrolysis process.
Background
Pyrolysis of biomass, which is generally a process in which biomass is heated to raise its temperature in an oxygen-free or low-oxygen environment to cause molecular decomposition to produce coke, condensable liquids, and gaseous products, is an important form of utilization of biomass energy.
In the process of biomass fast pyrolysis, a biomass raw material is rapidly heated to a higher reaction temperature under the condition of oxygen deficiency, so that decomposition of macromolecules is initiated, and micromolecular gas, condensable volatile matters and a small amount of coke products are generated.
Microwave heating is a common heating mode of biomass fast pyrolysis, and compared with other pyrolysis modes, the microwave heating has the characteristics of high heating rate, short retention time, proper pyrolysis temperature and the like, and therefore, the microwave heating has research and development prospects in the field of chemical application.
The inventor finds that the prior art has at least the following defects through research:
because microwave heating has the characteristics of high heating rate and short retention time, the requirement on the response aging of temperature control is very high, and the problem of poor control effect caused by overlong response time easily occurs in the temperature control method in the prior art.
The information disclosed in this background section is only for enhancement of understanding of the general background of the invention and should not be taken as an acknowledgement or any form of suggestion that this information forms the prior art already known to a person skilled in the art.
Disclosure of Invention
The invention aims to improve the temperature control effect of a microwave reactor by improving the response time efficiency of temperature control of a microwave heating biomass microwave pyrolysis process.
The invention provides a temperature control method for a biomass microwave pyrolysis process, which comprises the following steps:
s11, modeling according to a continuous feeding microwave reactor, generating a three-dimensional electromagnetic field model of the microwave reactor and gridding the three-dimensional electromagnetic field model;
s12, dividing the inner cavity of the microwave reactor into a preset number of temperature control areas according to the three-dimensional electromagnetic field model, and respectively setting target temperature intervals of the temperature control areas;
s13, acquiring input parameters of the three-dimensional electromagnetic field model, including: the initial microwave power of each controllable microwave source in the microwave reactor, and the physical property parameters and the material feeding rate of the biomass are obtained;
s14, calculating according to the input parameters by taking a preset time step as a calculation period to obtain a simulation result of the three-dimensional electromagnetic field model; the simulation result comprises a predicted temperature value of each temperature control area after a time step;
and S15, respectively judging whether each temperature control area comprises grids exceeding the target temperature interval according to the temperature predicted value of each temperature control area, if so, adjusting the microwave power of the controllable microwave source of the grids exceeding the target temperature interval according to a preset rule, taking the adjusted microwave power of the controllable microwave source as the current microwave power, and returning to the step S14.
In the present invention, the method further comprises:
and if not, generating the temperature control instruction of the microwave reactor according to the current microwave power.
In the present invention, the preset number includes:
3 to 40.
In the present invention, the dividing of the inner cavity of the microwave reactor into a preset number of temperature control regions includes:
the inner cavity of the microwave reactor is divided into equal-length temperature control areas with preset number, or the inner cavity of the microwave reactor is divided into equal-temperature control areas with preset number according to a temperature rise curve.
In the present invention, the modeling according to a microwave reactor, generating a three-dimensional electromagnetic field model of the microwave reactor and gridding the three-dimensional electromagnetic field model, includes:
setting the volume in the cavity of the microwave reactor as V; the number of the controllable microwave sources is n;
let the power of the ith controllable microwave source be PiTotal power of the microwave reactor is
Figure BDA0002829469720000021
The three-dimensional electromagnetic field model after gridding is provided with D grid units and stored in a set D, wherein the electromagnetic intensity of the ith grid unit belonging to the set D is EiAt a temperature of Ti
In the present invention, the step of respectively determining whether each temperature control area includes a grid exceeding the target temperature interval according to the predicted temperature value of each temperature control area, and if so, adjusting the microwave power of the controllable microwave source of the grid exceeding the target temperature interval according to a preset rule includes:
respectively executing the following steps for each temperature control area:
s21, obtaining the current microwave power of each controllable microwave source when the biomass enters the first time step of the temperature control zone according to the three-dimensional electromagnetic field model;
s22, traversing the maximum temperature point of the grid cells in the temperature control area, and if the maximum temperature point exceeds the upper limit of the target temperature interval, storing the grid cell identification and the temperature data corresponding to the maximum temperature point into a data set Col 1;
s23, traversing the minimum temperature point of the grid cells in the temperature control area, and if the minimum temperature point exceeds the lower limit of the target temperature interval, storing the grid cell identification and the temperature data corresponding to the minimum temperature point into a data set Col 2;
s24, solving the generation of the grid cells according to the Maxwell equation of the electric field intensity for the grid cells currently stored in the data set Col1The maximum temperature of the substance in the temperature control area in the remaining residence time does not exceed the controllable electric field intensity component range E of the upper limit of the target temperature intervalx-j,Ey-j,Ez-j(ii) a For the grid cells currently stored in the data set Col2, solving a controllable electric field intensity component range E of the minimum temperature of the biomass in the grid cells in the temperature control area in the remaining residence time not lower than the lower limit of the target temperature range according to Maxwell equation of the electric field intensityx-i,Ey-i,Ez-i;
S25, after obtaining the controllable electric field intensity component ranges of all grid units in the sets Col1 and Col2, decomposing the forward waves transmitted by all the controllable microwave sources belonging to the temperature control area through the matrix waveguide, wherein the components of the forward waves in 3 directions are respectively
Figure BDA0002829469720000031
S26, traversing all possibilities of components of the controllable microwave sources in the temperature control area on the corresponding time step, and coupling the possibilities with components of other temperature control areas to obtain an optimal electric field strength component set which can enable all grid cells in Col1 and Col2 to meet the judgment rule
Figure BDA0002829469720000041
The total power of the current temperature control area corresponding to the set is PjAnd correspondingly adjusting the microwave power of the controllable microwave source of the temperature control area.
In the present invention, the modeling the three-dimensional electromagnetic field includes:
the meshes are tetrahedral meshes or hexahedral meshes.
In another aspect of the present invention, there is also provided a temperature control apparatus for a microwave pyrolysis process of biomass, comprising:
the modeling unit is used for modeling according to a continuous feeding microwave reactor, generating a three-dimensional electromagnetic field model of the microwave reactor and gridding the three-dimensional electromagnetic field model;
the partitioning unit is used for dividing the inner cavity of the microwave reactor into a preset number of temperature control areas according to the three-dimensional electromagnetic field model, and respectively setting a target temperature interval of each temperature control area;
a parameter obtaining unit for obtaining input parameters of the three-dimensional electromagnetic field model, comprising: the initial microwave power of each controllable microwave source in the microwave reactor, and the physical property parameters and the material feeding rate of the biomass are obtained;
the prediction unit is used for calculating and obtaining a simulation result of the three-dimensional electromagnetic field model according to the input parameters by taking a preset time step as a calculation period; the simulation result comprises a predicted temperature value of each temperature control area after a time step;
and the computing unit is used for respectively judging whether each temperature control area comprises grids exceeding the target temperature interval according to the temperature predicted value of each temperature control area, if so, adjusting the microwave power of the controllable microwave source of the grids exceeding the target temperature interval according to a preset rule, and taking the adjusted microwave power of the controllable microwave source as the current microwave power.
In another aspect of the present invention, there is also provided a memory comprising a software program adapted to be executed by a processor for the steps of the above method for controlling the temperature of a biomass microwave pyrolysis process.
In another aspect of the embodiments of the present invention, there is also provided a temperature control device for a biomass microwave pyrolysis process, where the temperature control device includes a computer program stored on a memory, and the computer program includes program instructions, and when the program instructions are executed by a computer, the computer executes the method in the above aspects, and achieves the same technical effects.
Compared with the prior art, the invention has the following beneficial effects:
the inventor finds that the problem of poor control effect caused by overlong response time easily occurs in the temperature control method in the prior art, and the reason is that the calculated amount is overlarge when the microwave power of each controllable microwave source is calculated according to a three-dimensional electromagnetic field model of a microwave reactor, so that the control action is delayed seriously; therefore, the microwave power of the controllable microwave source in the grid unit with the temperature not meeting the standard is adjusted through the temperature predicted value of each temperature control area in the next time step, and therefore temperature fluctuation of the biomass in the cavity of the microwave reactor is avoided. According to the invention, because independent calculation is carried out in each temperature control area, the calculation amount can be effectively reduced, the calculation efficiency can be effectively improved, and the generation efficiency of the final control instruction can be further improved, so that the temperature control effect of the microwave reactor can be improved by improving the response time efficiency of the temperature control of the microwave heating biomass microwave pyrolysis process, and the temperature rise process of the biomass in the cavity of the microwave reactor is more stable and controllable.
The foregoing description is only an overview of the technical solutions of the present invention, and in order to make the technical means of the present invention more clearly understood and to make the technical means implementable in accordance with the content of the description, and to make the above and other objects, technical features, and advantages of the present invention more comprehensible, one or more preferred embodiments are listed below, and are described in detail below with reference to the accompanying drawings.
Drawings
FIG. 1 is a diagram of the steps of a temperature control method for a microwave pyrolysis process of biomass according to the present invention;
FIG. 2 is a schematic structural diagram of a temperature control device for the biomass microwave pyrolysis process in the invention;
FIG. 3 is a schematic structural diagram of a temperature control device for the biomass microwave pyrolysis process.
Detailed Description
The following detailed description of the present invention is provided in conjunction with the accompanying drawings, but it should be understood that the scope of the present invention is not limited to the specific embodiments.
Throughout the specification and claims, unless explicitly stated otherwise, the word "comprise", or variations such as "comprises" or "comprising", will be understood to imply the inclusion of a stated element or component but not the exclusion of any other element or component.
Spatially relative terms, such as "below," "lower," "upper," "above," "upper," and the like, may be used herein for ease of description to describe one element or feature's relationship to another element or feature in the figures. It will be understood that the spatially relative terms are intended to encompass different orientations of the object in use or operation in addition to the orientation depicted in the figures. For example, if the items in the figures are turned over, elements described as "below" or "beneath" other elements or features would then be oriented "above" the elements or features. Thus, the exemplary term "below" can encompass both an orientation of below and above. The article may be otherwise oriented (rotated 90 degrees or at other orientations) and the spatially relative terms used herein should be interpreted accordingly.
In this document, the terms "first", "second", etc. are used to distinguish two different elements or portions, and are not used to define a particular position or relative relationship. In other words, the terms "first," "second," and the like may also be interchanged with one another in some embodiments.
Example one
In order to improve the temperature control effect of the microwave reactor by improving the response time of the temperature control of the microwave heating biomass microwave pyrolysis process, as shown in fig. 1, an embodiment of the present invention provides a temperature control method of a biomass microwave pyrolysis process, including the steps of:
s11, modeling according to a continuous feeding microwave reactor, generating a three-dimensional electromagnetic field model of the microwave reactor and gridding the three-dimensional electromagnetic field model;
the embodiment of the invention utilizes a three-dimensional electromagnetic field simulation technology to simulate the temperature distribution data in the cavity of the microwave reactor.
In practical application, the specific way of gridding the three-dimensional electromagnetic field model may be:
setting the volume in the cavity of the microwave reactor as V; the number of the controllable microwave sources is n;
let the power of the ith controllable microwave source be PiTotal power of the microwave reactor is
Figure BDA0002829469720000061
The three-dimensional electromagnetic field model after gridding is provided with D grid units and stored in a set D, wherein the electromagnetic intensity of the ith grid unit belonging to the set D is EiAt a temperature of Ti
In practical applications, the grid cells in the embodiments of the present invention may take the form of tetrahedrons or hexahedrons.
It should be noted that, the microwave reactor in the embodiment of the present invention is a continuous feeding microwave reactor, and the biomass continuously passes through the cavity of the microwave reactor from the feeding port of the microwave reactor and exits from the discharging port of the microwave reactor; the microwave reactor heats the biomass in the cavity through a plurality of controllable microwave sources arranged in the microwave reactor.
S12, dividing the inner cavity of the microwave reactor into a preset number of temperature control areas according to the three-dimensional electromagnetic field model, and respectively setting target temperature intervals of the temperature control areas;
in the embodiment of the invention, the inner cavity of the microwave reactor is divided into a plurality of temperature control areas, and the specific values of the number of the temperature control areas can be from 3 to 40. Then, setting a corresponding target temperature interval for each temperature control area; after the inner cavity of the microwave reactor is divided into a plurality of temperature control areas, the temperature prediction value of each temperature control area is independently calculated, so that the calculation amount can be effectively reduced, the calculation efficiency can be improved, and the temperature control response time efficiency can be further improved.
In the embodiment of the present invention, the specific manner of dividing the temperature control area into a plurality of temperature control areas may be:
equally dividing the inner cavity of the microwave reactor into a plurality of temperature control areas;
in addition, the temperature value of each position in the inner cavity of the microwave reactor can be divided into a plurality of temperature control areas with the same temperature difference, for example, the position with the temperature higher than 100 ℃ per liter in the inner cavity of each microwave reactor can be used as the dividing position of one temperature control area.
S13, acquiring input parameters of the three-dimensional electromagnetic field model, including: the initial microwave power of each controllable microwave source in the microwave reactor, and the physical property parameters and the material feeding rate of the biomass are obtained;
before the temperature distribution in the cavity of the microwave reactor is simulated, various input parameters of a three-dimensional electromagnetic field model need to be generated, which can comprise initial microwave power of each controllable microwave source in the microwave reactor, physical parameters of biomass and material feeding rate.
For each temperature control zone, the initial microwave power is the current microwave power of each controllable microwave source in the temperature control zone when the biomass just enters at the beginning of a calculation cycle (i.e. the current time step).
S14, calculating according to the input parameters by taking a preset time step as a calculation period to obtain a simulation result of the three-dimensional electromagnetic field model; the simulation result comprises a predicted temperature value of each temperature control area after a time step;
in the embodiment of the invention, the simulation result of the three-dimensional electromagnetic field model obtained by calculation according to the input parameters is periodic, namely, the calculation is carried out once every time step; in practical applications, the value of the time step can be determined according to the actual computing capability of the computer and the experience of those skilled in the art, and is not limited specifically herein.
In the embodiment of the invention, the purpose of obtaining the simulation result of the three-dimensional electromagnetic field model by calculating according to the input parameters is to obtain the predicted temperature value of each temperature control area at the next time step under the current time step, that is, to prejudge the predicted temperature value of each temperature control area.
And S15, respectively judging whether each temperature control area comprises grids exceeding the target temperature interval according to the temperature predicted value of each temperature control area, if so, adjusting the microwave power of the controllable microwave source of the grids exceeding the target temperature interval according to a preset rule, taking the adjusted microwave power of the controllable microwave source as the current microwave power, and returning to the step S14.
In the embodiment of the present invention, it needs to be determined that each temperature control area includes grid cells exceeding the target temperature interval of the temperature control area when the next time step is performed. In practical application, the judgment of whether each temperature control area comprises grid cells exceeding the target temperature interval and the adjustment of the microwave power of the controllable microwave source can be carried out in parallel or one by one.
Preferably, the specific manner of the step may include:
s21, obtaining the current microwave power of each controllable microwave source when the biomass enters the temperature control zone at the current time step according to the three-dimensional electromagnetic field model;
for each temperature control area, at the beginning of a calculation period (namely the current time step), when the biomass just enters, the current microwave power of each controllable microwave source in the temperature control area can be used as a parameter for temperature prediction of the three-dimensional electromagnetic field model.
S22, traversing the maximum temperature point of the grid cells in the temperature control area, and if the maximum temperature point exceeds the upper limit of the target temperature interval, storing the grid cell identification and the temperature data corresponding to the maximum temperature point into a data set Col 1;
in order to determine whether the temperature control area includes grid cells exceeding the upper limit of the target temperature interval and determine which grid cells exceed the upper limit of the target temperature interval, the embodiment of the invention determines the maximum temperature point of the grid cells in the temperature control area in a traversal manner, and when the maximum temperature point exceeds the upper limit of the target temperature interval, stores the grid cell identifier and the temperature data corresponding to the maximum temperature point into the data set Col1, and then performs the same determination on the remaining grid cells, so as to select all the grid cells including the upper limit of the target temperature interval, that is, all the grid cells whose temperature at the next time step exceeds the upper limit of the target temperature interval (exceeds the upper limit of the target temperature interval), and stores the grid cells into the data set Col 1.
S23, traversing the minimum temperature point of the grid cells in the temperature control area, and if the minimum temperature point exceeds the lower limit of the target temperature interval, storing the grid cell identification and the temperature data corresponding to the minimum temperature point into a data set Col 2;
in order to prevent the problem that the temperature of the biomass does not reach the standard, in the embodiment of the invention, whether the temperature control area comprises grid units lower than the lower limit of the target temperature range is also judged, and determining which grid cells are lower than the lower limit of the target temperature interval, the embodiment of the invention adopts a traversing mode to determine the minimum temperature point of the grid cells in the temperature control area, and when the minimum temperature point is lower than the lower limit value of the target temperature interval, the grid cell identification and the temperature data corresponding to the minimum temperature point are stored in the data set Col2, then, the same judgment is performed on the remaining grid cells, so that all grid cells including the grid cells below the lower limit of the target temperature interval, that is, all grid cells whose temperature does not reach the lower limit of the next time step (below the lower limit of the target temperature interval) are selected, and are stored in the data set Col 2.
S24, solving a controllable electric field intensity component range E of the maximum temperature of the biomass in the grid cell in the temperature control area in the remaining residence time not exceeding the upper limit of the target temperature interval according to Maxwell equation of the electric field intensity for the grid cell currently stored in the data set Col1x-j,Ey-j,Ez-j(ii) a For the grid cells currently stored in the data set Col2, solving a controllable electric field intensity component range E of the minimum temperature of the biomass in the grid cells in the temperature control area in the remaining residence time not lower than the lower limit of the target temperature range according to Maxwell equation of the electric field intensityx-i,Ey-i,Ez-i;
Specifically, for a certain grid cell j in the data set Col1, assuming that it is only irradiated by microwaves in the x-axis direction, the electric field intensity components in the other two axis directions are 0, and the maximum temperature of the grid cell j in the remaining dwell time is equal to the upper limit of the target temperature interval,the electric field intensity component in the x-axis direction at this time is referred to as Ex-jTheoretical maximum value of (E)xj-max(ii) a By the same token, E can be obtainedy-j,Ez-jMaximum value of Eyj-max,Ezj-max. Then according to Ex-j,Ey-j,Ez-jThe maximum value and Maxwell equation are combined with the coordinate of the grid unit j in the reaction cavity (namely the cavity of the microwave reactor) to establish Ex-j,Ey-j,Ez-jIn a plane triangular coordinate system (the minimum value of the x-axis of the coordinate system is 0 and the maximum value is E)xj-maxAnd y and z axes are the same), and the coordinate system is the controllable electric field intensity component range of the maximum temperature of the grid unit j in the remaining residence time not exceeding the upper limit of the target temperature interval of the temperature zone.
For a certain grid cell i in the data set Col2, assuming that it is only irradiated by microwaves in the x-axis direction, the electric field intensity components in the other two axis directions are 0, at this time, the minimum temperature of the grid cell i in the remaining dwell time is equal to the lower limit of the target temperature interval, and the electric field intensity component in the x-axis direction at this time is called as Ex-iTheoretical minimum value of (E)xj-min(ii) a By the same token, E can be obtainedy-i,Ez-iMinimum value of Eyj-min,Ezj-min. Then according to Ex-i,Ey-i,Ez-iEstablishing E by combining the minimum value and Maxwell equation and aiming at the coordinate of the grid unit i in the reaction cavityx-i,Ey-i,Ez-iA triangular plane coordinate system (the minimum value of the x-axis of the coordinate system is E)xj-minThe maximum value is the component of the electric field intensity provided by the microwave source belonging to the temperature control area under the full power in the x axis, and the y axis and the z axis are the same), and the coordinate system is the controllable electric field intensity component range of the minimum temperature of the grid unit i in the remaining residence time not exceeding the lower limit of the target temperature interval of the temperature control area.
S25, after obtaining the controllable electric field intensity component ranges of all grid units in the sets Col1 and Col2, decomposing the forward waves transmitted by all the controllable microwave sources belonging to the temperature control area through the matrix waveguide, wherein the components of the forward waves in 3 directions are respectively
Figure BDA0002829469720000101
S26, traversing all possibilities of components of the controllable microwave sources in the temperature control area on the corresponding time step, and coupling the possibilities with components of other temperature control areas to obtain an optimal electric field strength component set which can enable all grid cells in Col1 and Col2 to meet the judgment rule
Figure BDA0002829469720000102
The total power of the current temperature control area corresponding to the set is PjAnd correspondingly adjusting the microwave power of the controllable microwave source of the temperature control area.
Specifically, assuming that the current time step is t, for k controllable microwave sources to which the current temperature control region belongs, the forward wave components in 3 directions are respectively
Figure BDA0002829469720000111
For the controllable microwave sources which are not in the current temperature control area, if the controllable microwave sources are closer to the discharge hole direction than the current temperature control area, the values of the components of the forward waves in 3 directions are consistent with the values of the components of the current time step t; if the temperature control area is closer to the direction of the feed inlet than the current temperature control area, the values of the components of the forward wave in 3 directions are consistent with the values of the components of the last time step t-1. In the embodiment of the present invention, all the possibilities of the existence of the component of the controllable microwave source in the current temperature control region at the current time step t need to be traversed, that is, the E related to Col1 needs to be traversedx-j,Ey-j,Ez-jE of plane triangular coordinate system related to Col2x-i,Ey-i,Ez-iAll possibilities on the intersection of the plane triangular coordinate systems are superposed with components of forward waves of the non-current temperature control area in 3 directions, and finally an optimal electric field strength component set which can ensure that the maximum temperature of the unit grids in the Col1 in the remaining dwell time does not exceed the upper limit of the target temperature interval of the temperature control area in which the maximum temperature of the unit grids in the Col1 in the remaining dwell time is not lower than the lower limit of the target temperature interval and can ensure that the minimum temperature of the unit grids in the Col2 in the remaining dwell time is not lower than the lower limit of the target temperature interval is obtained
Figure BDA0002829469720000112
Figure BDA0002829469720000113
Aiming at traversing all the possibilities of the components of the controllable microwave sources in the current temperature control area on the current time step t
Figure BDA0002829469720000114
For example, the specific acquisition method is as follows:
setting the number of the affiliated microwave sources in the current temperature control area as Q, and integrating Q controllable electric field intensity component rangesE={Ex-1,Ex-2,……,Ex-QFrom the first element Ex-1Starting traversal, each traversal needs to traverse all elements (which may be for (…)) with intersection, record the maximum number of the elements, store the maximum number of the elements in an empty array a { }, record an intersection interval corresponding to the maximum number of the elements, store the intersection interval in an empty matrix b { }, and finally compare the maximum number of each traversal result respectively, wherein the maximum number in the array a meets the condition, and the intersection interval correspondingly stored in the matrix b is the intersection interval
Figure BDA0002829469720000115
The value range of (2).
Then, the process of the present invention is carried out,
Figure BDA0002829469720000116
and
Figure BDA0002829469720000117
and a method for obtaining
Figure BDA0002829469720000118
Similarly, no further description is provided herein.
Obtaining the optimal electric field intensity component set
Figure BDA0002829469720000119
The collectionThe total power of the corresponding current temperature control area is PjAnd correspondingly adjusting the microwave power of the controllable microwave source of the current temperature control area.
Further, in the embodiment of the present invention, the method may further include the steps of:
and when each temperature control area does not exceed the grid of the target temperature interval, generating a temperature control instruction of the microwave reactor according to the current microwave power. Therefore, according to the calculated microwave power of the controllable microwave source of the current temperature control area, the control scheme of each controllable microwave source of the current temperature control area in the entity microwave reactor can be determined, and further the microwave power of each controllable microwave source in the current temperature control area, which is needed in the next time step, can be determined.
In summary, according to the embodiment of the present invention, the cavity of the microwave reactor is divided into a plurality of temperature control areas according to the three-dimensional electromagnetic field model, and then the temperature values of the temperature control areas are respectively pre-determined (i.e., the predicted temperature value of each temperature control area after the next time step is calculated); therefore, the microwave power of the controllable microwave source in the grid unit with the temperature not meeting the standard is adjusted through the temperature predicted value of each temperature control area in the next time step, and therefore temperature fluctuation of the biomass in the cavity of the microwave reactor is avoided. According to the invention, because independent calculation is carried out in each temperature control area, the calculation amount can be effectively reduced, the calculation efficiency can be effectively improved, and the generation efficiency of the final control instruction can be further improved, so that the temperature control effect of the microwave reactor can be improved by improving the response time efficiency of the microwave heating biomass microwave pyrolysis process temperature control, and the temperature rise process of the biomass in the cavity of the microwave reactor is more stable and controllable.
Example two
In another aspect of the embodiment of the present invention, a temperature control device for a biomass microwave pyrolysis process is further provided, and fig. 2 shows a schematic structural diagram of the temperature control device for a biomass microwave pyrolysis process provided in the embodiment of the present invention, where the temperature control device for a biomass microwave pyrolysis process is a device corresponding to the temperature control method for a biomass microwave pyrolysis process in the embodiment corresponding to fig. 1, that is, the temperature control method for a biomass microwave pyrolysis process in the embodiment corresponding to fig. 1 is implemented by using a virtual device, and each virtual module constituting the temperature control device for a biomass microwave pyrolysis process may be executed by an electronic device, such as a network device, a terminal device, or a server. Specifically, the temperature control device for the biomass microwave pyrolysis process in the embodiment of the invention comprises:
the modeling unit 01 is used for modeling according to a continuous feeding microwave reactor, generating a three-dimensional electromagnetic field model of the microwave reactor and gridding the three-dimensional electromagnetic field model;
the partition unit 02 is used for dividing the inner cavity of the microwave reactor into a preset number of temperature control areas according to the three-dimensional electromagnetic field model, and respectively setting a target temperature interval of each temperature control area;
the parameter obtaining unit 03 is configured to obtain input parameters of the three-dimensional electromagnetic field model, and includes: the initial microwave power of each controllable microwave source in the microwave reactor, and the physical property parameters and the material feeding rate of the biomass are obtained;
the prediction unit 04 is configured to calculate a simulation result of the three-dimensional electromagnetic field model according to the input parameter with a preset time step as a calculation cycle; the simulation result comprises a predicted temperature value of each temperature control area after a time step;
the calculating unit 05 is configured to respectively determine whether each temperature control area includes a grid exceeding the target temperature interval according to the predicted temperature value of each temperature control area, if so, adjust the microwave power of the controllable microwave source of the grid exceeding the target temperature interval according to a preset rule, and use the adjusted microwave power of the controllable microwave source as the current microwave power.
Preferably, in an embodiment of the present invention, a command generating unit (not shown in the figure) may be further included, configured to generate the microwave reactor temperature control command according to the current microwave power when none of the temperature control areas exceeds the grid of the target temperature interval.
Since the working principle and the beneficial effects of the temperature control device for the biomass microwave pyrolysis process in the embodiment of the invention have been recorded and described in the temperature control method for the biomass microwave pyrolysis process corresponding to fig. 1, they can be referred to each other and are not described herein again.
EXAMPLE III
In an embodiment of the present invention, a memory is further provided, where the memory includes a software program, and the software program is adapted to enable the processor to execute each step in the biomass microwave pyrolysis process temperature control method corresponding to fig. 1.
The embodiment of the present invention can be implemented by a software program, that is, by writing a software program (and an instruction set) for implementing each step in the temperature control method for biomass microwave pyrolysis process corresponding to fig. 1, the software program is stored in a storage device, and the storage device is disposed in a computer device, so that the software program can be called by a processor of the computer device to implement the purpose of the embodiment of the present invention.
Example four
In an embodiment of the present invention, a temperature control device for a biomass microwave pyrolysis process is further provided, where a memory included in the temperature control device for a biomass microwave pyrolysis process includes a corresponding computer program product, and when a program instruction included in the computer program product is executed by a computer, the computer may execute the temperature control method for a biomass microwave pyrolysis process in the above aspects, and achieve the same technical effects.
Fig. 3 is a schematic diagram of a hardware structure of a temperature control device for a biomass microwave pyrolysis process as an electronic device according to an embodiment of the present invention, and as shown in fig. 3, the device includes one or more processors 610, a bus 630, and a memory 620. Taking one processor 610 as an example, the apparatus may further include: input device 640, output device 650.
The processor 610, memory 620, input device 640, and output device 650 may be connected by a bus or other means, such as by bus 630 in fig. 3.
The memory 620, which is a non-transitory computer readable storage medium, may be used to store non-transitory software programs, non-transitory computer executable programs, and modules. The processor 610 executes various functional applications and data processing of the electronic device, i.e., the processing method of the above-described method embodiment, by executing the non-transitory software programs, instructions and modules stored in the memory 620.
The memory 620 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data and the like. Further, the memory 620 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory 620 optionally includes memory located remotely from the processor 610, which may be connected to the processing device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 640 may receive input numeric or character information and generate a signal input. The output device 650 may include a display device such as a display screen.
The one or more modules are stored in the memory 620 and, when executed by the one or more processors 610, perform:
s11, modeling according to a continuous feeding microwave reactor, generating a three-dimensional electromagnetic field model of the microwave reactor and gridding the three-dimensional electromagnetic field model;
s12, dividing the inner cavity of the microwave reactor into a preset number of temperature control areas according to the three-dimensional electromagnetic field model, and respectively setting target temperature intervals of the temperature control areas;
s13, acquiring input parameters of the three-dimensional electromagnetic field model, including: the initial microwave power of each controllable microwave source in the microwave reactor, and the physical property parameters and the material feeding rate of the biomass are obtained;
s14, calculating according to the input parameters by taking a preset time step as a calculation period to obtain a simulation result of the three-dimensional electromagnetic field model; the simulation result comprises a predicted temperature value of each temperature control area after a time step;
and S15, respectively judging whether each temperature control area comprises grids exceeding the target temperature interval according to the temperature predicted value of each temperature control area, if so, adjusting the microwave power of the controllable microwave source of the grids exceeding the target temperature interval according to a preset rule, taking the adjusted microwave power of the controllable microwave source as the current microwave power, and returning to the step S14.
The product can execute the method provided by the embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method. For technical details that are not described in detail in this embodiment, reference may be made to methods provided by other embodiments of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage device and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage device includes: a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a ReRAM, an MRAM, a PCM, a NAND Flash, a NOR Flash, a Memory, a magnetic disk, an optical disk, or other various media that can store program codes.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (11)

1. A temperature control method for a biomass microwave pyrolysis process is characterized by comprising the following steps:
s11, modeling according to a continuously fed microwave reactor, generating a three-dimensional electromagnetic field model of the microwave reactor, and gridding the three-dimensional electromagnetic field model;
s12, dividing the inner cavity of the microwave reactor into a preset number of temperature control areas according to the three-dimensional electromagnetic field model, and respectively setting target temperature intervals of the temperature control areas;
s13, acquiring input parameters of the three-dimensional electromagnetic field model, including: initial microwave power of each controllable microwave source in the microwave reactor, and physical parameters and material feeding rate of the biomass;
s14, calculating according to the input parameters by taking a preset time step as a calculation period to obtain a simulation result of the three-dimensional electromagnetic field model; the simulation result comprises a predicted temperature value of each temperature control area after a time step;
and S15, respectively judging whether each temperature control area comprises grids exceeding the target temperature interval according to the temperature predicted value of each temperature control area, if so, adjusting the microwave power of the controllable microwave source of the grids exceeding the target temperature interval according to a preset rule, taking the adjusted microwave power of the controllable microwave source as the current microwave power, and returning to the step S14.
2. The temperature control method for the biomass microwave pyrolysis process according to claim 1, characterized by further comprising:
and if not, generating the temperature control instruction of the microwave reactor according to the current microwave power.
3. The temperature control method for the microwave pyrolysis process of biomass according to claim 1, wherein the preset number comprises:
3 to 40.
4. The temperature control method for the microwave pyrolysis process of biomass according to claim 1, wherein the dividing of the inner cavity of the microwave reactor into a preset number of temperature control zones comprises:
the inner cavity of the microwave reactor is divided into equal-length temperature control areas with preset number, or the inner cavity of the microwave reactor is divided into equal-temperature control areas with preset number according to a temperature rise curve.
5. The temperature control method for the microwave pyrolysis process of biomass according to claim 1, wherein the generating and gridding the three-dimensional electromagnetic field model of the microwave reactor according to the microwave reactor modeling comprises:
setting the volume in the cavity of the microwave reactor as V; the number of the controllable microwave sources is n;
let the power of the ith controllable microwave source be PiTotal power of the microwave reactor is
Figure FDA0002829469710000021
The three-dimensional electromagnetic field model after gridding is provided with D grid units and stored in a set D, wherein the electromagnetic intensity of the ith grid unit belonging to the set D is EiAt a temperature of Ti
6. The temperature control method for the biomass microwave pyrolysis process according to claim 2, wherein the step of respectively judging whether each temperature control area comprises grids exceeding the target temperature interval according to the temperature predicted value of each temperature control area, and if so, the step of adjusting the microwave power of the controllable microwave source of the grids exceeding the target temperature interval according to a preset rule comprises the following steps:
respectively executing the following steps for each temperature control area:
s21, obtaining the current microwave power of each controllable microwave source when the biomass enters the first time step of the temperature control zone according to the three-dimensional electromagnetic field model;
s22, traversing the maximum temperature point of the grid cells in the temperature control area, and if the maximum temperature point exceeds the upper limit of the target temperature interval, storing the grid cell identification and the temperature data corresponding to the maximum temperature point into a data set Col 1;
s23, traversing the minimum temperature point of the grid cells in the temperature control area, and if the minimum temperature point exceeds the lower limit of the target temperature interval, storing the grid cell identification and the temperature data corresponding to the minimum temperature point into a data set Col 2;
s24, for the grid cells currently stored in the data set Col1, according to the electric field intensitySolving a controllable electric field intensity component range E of the maximum temperature of the biomass in the grid unit in the remaining residence time of the temperature control area not exceeding the upper limit of the target temperature rangex-j,Ey-j,Ez-j(ii) a For the grid cells currently stored in the data set Col2, solving a controllable electric field intensity component range E of the minimum temperature of the biomass in the grid cells in the temperature control area in the remaining residence time not lower than the lower limit of the target temperature range according to Maxwell equation of the electric field intensityx-i,Ey-i,Ez-i
S25, after obtaining the controllable electric field intensity component ranges of all grid units in the sets Col1 and Col2, decomposing the forward waves transmitted by all the controllable microwave sources belonging to the temperature control area through the matrix waveguide, wherein the components of the forward waves in 3 directions are respectively
Figure FDA0002829469710000031
S26, traversing all possibilities of components of the controllable microwave sources in the temperature control area on the corresponding time step, and coupling the possibilities with components of other temperature control areas to obtain an optimal electric field strength component set which can enable all grid cells in Col1 and Col2 to meet the judgment rule
Figure FDA0002829469710000032
The total power of the current temperature control area corresponding to the set is PjAnd correspondingly adjusting the microwave power of the controllable microwave source of the temperature control area.
7. The temperature control method for the biomass microwave pyrolysis process according to any one of claims 1 to 6, wherein the step of modeling the three-dimensional electromagnetic field comprises the following steps:
the meshes are tetrahedral meshes or hexahedral meshes.
8. A biomass microwave pyrolysis process temperature control device is characterized by comprising:
the modeling unit is used for modeling according to a continuous feeding microwave reactor, generating a three-dimensional electromagnetic field model of the microwave reactor and gridding the three-dimensional electromagnetic field model;
the partitioning unit is used for dividing the inner cavity of the microwave reactor into a preset number of temperature control areas according to the three-dimensional electromagnetic field model, and respectively setting a target temperature interval of each temperature control area;
a parameter obtaining unit for obtaining input parameters of the three-dimensional electromagnetic field model, comprising: initial microwave power of each controllable microwave source in the microwave reactor, and physical parameters and material feeding rate of the biomass;
the prediction unit is used for calculating and obtaining a simulation result of the three-dimensional electromagnetic field model according to the input parameters by taking a preset time step as a calculation period; the simulation result comprises a predicted temperature value of each temperature control area after a time step;
and the computing unit is used for respectively judging whether each temperature control area comprises grids exceeding the target temperature interval according to the temperature predicted value of each temperature control area, if so, adjusting the microwave power of the controllable microwave source of the grids exceeding the target temperature interval according to a preset rule, and taking the adjusted microwave power of the controllable microwave source as the current microwave power.
9. The temperature control device for biomass microwave pyrolysis process according to claim 1, characterized by further comprising:
and the instruction generating unit is used for generating the temperature control instruction of the microwave reactor according to the current microwave power when each temperature control area does not exceed the grid of the target temperature interval.
10. A memory comprising a software program adapted to be executed by a processor for performing the steps of the method for temperature control of a microwave pyrolysis process of biomass as claimed in any one of claims 1 to 7.
11. A temperature control device for biomass microwave pyrolysis process, which is characterized by comprising a bus, a processor and a memory as described in claim 10;
the bus is used for connecting the memory and the processor;
the processor is configured to execute a set of instructions in the memory.
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Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5436846A (en) * 1990-05-29 1995-07-25 Grumman Aerospace Corporation Method of facilitating construction of a microwave system by appropriate measurements or determination of parameters of selected individual microwave components to obtain overall system power response
CN1914299A (en) * 2003-12-12 2007-02-14 考泰克公司 Pre-burning, dry process methodology and systems for enhancing solid fuel properties
CN102033991A (en) * 2010-12-07 2011-04-27 昆明理工大学 Microwave drying prediction method through BP (back-propagation) neural network based on incremental improvement
CN102590464A (en) * 2011-01-13 2012-07-18 中国石油化工股份有限公司 Chemical oxygen demand determination method for water bodies
JP2014019709A (en) * 2012-07-12 2014-02-03 Jfe Steel Corp Method for managing a coke oven body
CN103596906A (en) * 2011-06-01 2014-02-19 环境废弃物国际公司 Apparatus and process for the controlled reduction of organic material via microwave radiation
CN107748806A (en) * 2017-09-07 2018-03-02 深圳大学 The calculating of microwave-heating sludge electromagnetic field intensity and its regularity of distribution and analogy method
CN109287021A (en) * 2018-10-15 2019-01-29 南京航空航天大学 A kind of microwave heating temperature field intelligent control method based on on-line study
CN110414053A (en) * 2019-06-27 2019-11-05 西安空间无线电技术研究所 A kind of time-domain numerical simulation method of quick determining component micro-discharge threshold

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5436846A (en) * 1990-05-29 1995-07-25 Grumman Aerospace Corporation Method of facilitating construction of a microwave system by appropriate measurements or determination of parameters of selected individual microwave components to obtain overall system power response
CN1914299A (en) * 2003-12-12 2007-02-14 考泰克公司 Pre-burning, dry process methodology and systems for enhancing solid fuel properties
CN102033991A (en) * 2010-12-07 2011-04-27 昆明理工大学 Microwave drying prediction method through BP (back-propagation) neural network based on incremental improvement
CN102590464A (en) * 2011-01-13 2012-07-18 中国石油化工股份有限公司 Chemical oxygen demand determination method for water bodies
CN103596906A (en) * 2011-06-01 2014-02-19 环境废弃物国际公司 Apparatus and process for the controlled reduction of organic material via microwave radiation
JP2014019709A (en) * 2012-07-12 2014-02-03 Jfe Steel Corp Method for managing a coke oven body
CN107748806A (en) * 2017-09-07 2018-03-02 深圳大学 The calculating of microwave-heating sludge electromagnetic field intensity and its regularity of distribution and analogy method
CN109287021A (en) * 2018-10-15 2019-01-29 南京航空航天大学 A kind of microwave heating temperature field intelligent control method based on on-line study
CN110414053A (en) * 2019-06-27 2019-11-05 西安空间无线电技术研究所 A kind of time-domain numerical simulation method of quick determining component micro-discharge threshold

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