=Paper= {{Paper |id=Vol-3668/paper1 |storemode=property |title=Modeling the Technological Process of an Exhaust Gas Purification System in a Pyrolysis Plant for Waste Disposal |pdfUrl=https://ceur-ws.org/Vol-3668/paper1.pdf |volume=Vol-3668 |authors=Andrii Yarovyi,Yaroslav Ivanchuk,Tamara Savchuk,Ilona Bogach,Oleksiy Silagin |dblpUrl=https://dblp.org/rec/conf/colins/YarovyiISBS24 }} ==Modeling the Technological Process of an Exhaust Gas Purification System in a Pyrolysis Plant for Waste Disposal== https://ceur-ws.org/Vol-3668/paper1.pdf
                         Modeling the Technological Process of an Exhaust Gas
                         Purification System in a Pyrolysis Plant for Waste
                         Disposal
                         Andrii Yarovyi1, Yaroslav Ivanchuk1, Tamara Savchuk1, Ilona Bogach1, Oleksiy Silagin1
                         1Vinnytsia National Technical University, Khmelnytsky highway 95, Vinnytsia, 21021, Ukraine



                                         Abstract
                                         A study was conducted using the method of mathematical modeling to analyze the physical processes
                                         involved in the separation of solid dispersive particles from the exhaust gas in the technological
                                         process of pyrolysis waste disposal. The design of a pyrolysis waste disposal installation was
                                         developed, incorporating a two-stage exhaust gas purification system. The focus of the study is on the
                                         first stage of waste gas purification, specifically a system of cyclones designed to separate solid
                                         dispersed particles from the exhaust gases. To facilitate the research, a computer modeling method for
                                         aerodynamic processes in the flue gas purification system was developed. This method is based on a
                                         CAD system and a low-level programming language. A mathematical model of the dynamics of hot gas
                                         movement was also developed to study the processes occurring in the flue gas purification system.
                                         This mathematical model comprises systems of partial differential equations that describe the
                                         movement of the carrier and dispersed media (in the form of Lagrangian particles). The study yielded
                                         working relationships describing the distribution of exhaust gas velocity and the concentration of
                                         dispersed polluting particles in various planes of the cyclone system within the waste disposal plant.
                                         The design and operational parameters of the cyclone system were determined through mathematical
                                         modeling methods to ensure effective cleaning of flue gases in the pyrolysis plant for waste disposal.

                                         Keywords 1
                                         Separation, Cyclone, Pyrolysis, Mathematical model, Utilisation, Dispersed particle


                         1. Introduction
                             Waste disposal is one of the significant challenges facing modern civilization [1]. Production
                         and consumption waste act as sources of anthropogenic pollution on a global scale, arising as an
                         inevitable consequence of consumer behavior and low utilization rates of natural resources. In
                         this context, a method and engineering design for a system have been proposed to efficiently
                         dispose of waste with minimal environmental impact, along with reduced economic and
                         technological costs for disposal. The system also allows for the subsequent effective utilization
                         of thermal energy [2]. The proposed method is founded upon the pyrolysis process, which
                         involves high-temperature decomposition and oxidation of toxic waste components. This is
                         followed by the purification of the resulting flue gases and ash, which become practically non-
                         toxic or low-toxic. The protection of atmospheric air from pollutants generated during waste
                         disposal is a critical issue in the present era [3]. It is well-known that any pollutants released
                         into the atmosphere undergo secondary physical and chemical transformations over time.
                         These transformations occur due to various factors such as sunlight, electrical discharges, air
                         oxygen, and rain. Eventually, the pollutants are deposited in the form of precipitation into the
                         soil and water bodies.



                         COLINS-2024: 8th International Conference on Computational Linguistics and Intelligent Systems, April 12–13, 2024,
                         Lviv, Ukraine
                             a.yarovyy@vntu.edu.ua (A. Yarovyi); ivanchuck@ukr.net (Y. Ivanchuk); savchtam@gmail.com (T. Savchuk);
                         bogach.i.v@vntu.edu.ua (I. Bogach); avsilagin@vntu.edu.ua (O. Silagin)
                            0000-0002-6668-2425 (A. Yarovyi); 0000-0002-4775-6505 (Y. Ivanchuk); 0000-0002-0061-6206 (T. Savchuk);
                         0000-0001-9398-8529 (I. Bogach); 0009-0006-0089-4800 (O. Silagin)
                                    © 2024 Copyright for this paper by its authors.
                                    Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).




CEUR
                  ceur-ws.org
Workshop      ISSN 1613-0073
Proceedings
    Therefore, the protection of atmospheric air from pollutants simultaneously protects other
components of the biosphere – the lithosphere and the hydrosphere. Apparatus for cleaning
waste gases from solid and liquid impurities play a key role in the equipment used for
technological utilization in various branches of production [1-3]. One of the most common
methods of primary cleaning of exhaust gases is ash capture, which allows for the cleaning of
exhaust gases from combustion products of the coarse fraction. In order to implement this
method, inertial separators in the form of a system of cyclones [1] have become the most widely
used, as they allow for a high degree of separation with low energy consumption. Existing
cyclone systems allow for high separation coefficients (kc=0,8 and higher), but their operation is
not reliable (slagging, erosive wear of the flow part) and not economical (large leaks, hydraulic
resistance). Therefore, the development of new, effective designs of inertial systems for cleaning
waste gases based on cyclones, which work as part of modern power plants, is an urgent task.
   Solving the aforementioned issues is impossible without comprehensive scientific research
to choose the optimal and well-founded technical solution. Conducting this kind of research is
based on mathematical modeling methods with calculations using computer systems [4]. This
makes it possible to prevent an unnecessarily large number of complex and expensive
experimental studies, to significantly reduce the time and cost of design work, and to carry out
qualitative and quantitative assessments of physical phenomena with sufficient accuracy for
engineering practice. In this context, it is worth noting the great impact on the professional
activity of the authors of this article by professor Ivan Kuzmin. Indeed, within the scope of the
Ivan Kuzmin Scientific School in the field of "Creation of theory, mathematical models, methods
and algorithms for the synthesis of complex systems of control, diagnostics and management in
industry, aerospace and defense," significant results were achieved that are still used in
scientific research.
   In the scientific work [5], the influence of using cyclonic spiral inlets on the airflow pattern
and the process of separating bioparticles was investigated. This was done through the
assistance of finite element (FEM) calculations and fluid dynamics (CFD) software systems. The
study involved designing and testing six separate cyclone separators with different inlet sizes
and locations. Heterogeneous biogranular flow was used in both experiments and numerical
simulations. The findings of the study highlight the crucial role of inlet type and design in
determining cyclone performance. This is evidenced by variations in cyclone airflow pressure,
velocity, and turbulence parameters. One drawback of this study is that it does not take into
account the high air temperature, which is the main pollutant in the process of separating
dispersed particles.
   In scientific work [6], a mathematical model of a dense discrete phase in combination with
an agglomeration model was used to simulate the operation of industrial cyclones with a high
content of solids. The disadvantage of this approach is the low performance of the computer
system, which is affected by the general parameters of the mathematical model.
   Currently, mathematical modeling of physical processes is widely used [7], which allows the
study of the influence of structural and mode factors on the main characteristics of the cleaning
system. This enables the identification of specific ways to improve these systems while reducing
the need for extensive experimental research [8]. Although the calculations involved and the
assumptions made in the mathematical description of the work process are complex, these
models hold clear prospects for the development of designs of inertial systems for cleaning
waste gases based on cyclones [1].
   The purpose of the work is to improve the efficiency of waste gas purification of a pyrolysis
plant for waste disposal, by determining the structural and operational parameters of cyclone
systems using mathematical modeling methods.
   To achieve the goal, the following tasks were solved:
   – to develop a method of computer modeling of aerodynamic processes in the flue gas
cleaning system;
   - to develop a mathematical model of the dynamics of hot gas movement for the study of
work processes occurring in the flue gas cleaning system;
   - on the basis of the developed mathematical model, obtain operational dependencies for
determining the effective design and operational parameters of the cyclone system.

2. Materials and methods of research
   2.1. Object of research

   At Vinnytsia National Technical University, a pyrolysis plant (Fig. 1) [1] has been developed.
This plant enables the efficient disposal of household waste with minimal economic and
technological costs, as well as the efficient utilization of thermal energy. The device consists of a
pyrolytic combustion chamber 1 and an exhaust gas cleaning unit, which includes a system of
cyclones 2 and a system of catalytic filters 3. These components are interconnected by pipelines,
forming a unified system for the flow of gas.




                      a)                                                 b)
        Figure 1: General view of the pyrolysis plant for the disposal of household waste
                         a – view from the left; b - view from the right

                                                 Cyclone system 2 (see Fig. 1) is one of the main
                                                 components of the pyrolysis plant, which is
                                                 responsible for the rough cleaning process of
                                                 waste gases. The exhaust gas cleaning system,
                                                 which utilizes cyclones (Fig. 2), operates as
                                                 follows. Hot gases containing solid pollutant
                                                 particles enter the cone-shaped container 3
                                                 through opening 1 of the pipelines 2. The
                                                 velocity vector of the container 3 is
                                                 perpendicular to the generating plane [9].
                                                 When the gas flow enters the cyclone 3 at a
                                                 high speed, a vortex (tornado) is formed in the
                                                 conical cylinder due to the eccentric entry of
                                                 the gas flow and the spiral design of the walls
                                                 of the upper cover. Dispersed particles carried
  Figure 2: General view of the design of the    by the gas flow hit the walls of the cylinder 3
                cyclone system                   under the influence of centrifugal force, after
                                                 which they settle at the bottom of the cyclone 3
due to gravity. The purified gas then passes through collector 4 and enters the fine purification
system.
   2.2.Research methods
   For a deep and comprehensive study of work processes aimed at designing effective
technological machines, a computer modeling method [10] of aerodynamic processes (Fig. 3)
was developed for the flue gas cleaning system (FGCS).




   Figure 3: Structural diagram of the methodology for computer modeling of aerodynamic
                                      processes in EGCS

    At the beginning, databases are created in CAD systems [11] using an array of coordinate
values of a set of surface points of EGCS structural elements (unit 1 and 2) in the format of STL,
M3D, WRL files [12]. At the same time, CAD systems, as a basic element of computer-aided
design (CAD) systems, allow for the creation of design documentation for this research object,
for example, in SPW file format [13]. In parallel, a database (unit 3) of physical and mechanical
parameters of functional constituent elements (parts and nodes, technological environments) of
EGCS is being formed in the format of TXT, XLS or API files [11–13].
    At the next stage, the database of the structure and geometry of the structural elements (unit
2) and the physical and mechanical parameters of the functional component elements (unit 3)
of the EGCS is exported to the integrated environment (unit 4) of numerical modeling in the C++
programming language. Upon completion of work in the integrated numerical modeling
environment in the C++ programming language (unit 4), the results of the calculation
(numerical simulation) are transferred to the data store of numerical simulation results (unit 5).
Simulation results can be presented using multimedia formats (MP4, AVI files), as well as
graphical images (PNG, JPEG, BMP files) combined with discrete data (TXT, XLS, API files).
    At the next stage, the analysis of modeling results (unit 6) is performed with the help of
experts in the subject area (unit 7) based on the knowledge base (block 8), which was formed
on the basis of experimental data of EGCS operation for various technological processes [14].
Based on the results of the experts' conclusions, a decision is made on the acceptability of the
numerical modeling results. If the initial results of the numerical modeling (general
technological characteristics of the cyclone) correspond (unit 7.1) to the initial data of the
technical task for the design of equipment for a certain technological process (pyrolytic
combustion), then project documentation is formed (unit 9). If the results of the numerical
simulation do not correspond (unit 7.2) to the initial data of the technical task, a change is made
to the design of the technological equipment by optimizing the design of the EGCS (unit 10) and
proceed to the initial block 1 of information technology modeling.
    At the same level as the well-known monolithic approach [15] to solving multiphysics
problems of numerical modeling of dynamic processes and Fluid Structure Interaction (FSI)
systems [16], the developed technique (see Fig. 3) performs joint numerical modeling using
separate algorithms [17]. Each algorithm is responsible for solving separate systems of
differential equations that describe a specific physical process occurring in a particular
technological system [1, 14].
    A mathematical model describing the dynamics of hot gas movement, incorporating two
distinct phases, has been developed for the theoretical examination of exhaust gas purification
processes in Electrostatic Gas Cleaning Systems (EGCS). In this model, the carrier medium is
represented as an incompressible fluid [18], while the dispersed medium is characterized by
small solid spherical carbon particles [19].
    1) The mathematical model of the motion of the bearing medium consists of:
     – continuity equation of a continuously compressed medium
                                       g
                                       t
                                                   (     )
                                           +    gVg = Qmass
                                                          p
                                                               ,                                (1)

where Qmass
          p
              – relative mass flow rate of hot gas per unit time; ρg – density of a continuous
carrier gas medium; Vg – velocity vector of a solid bearing medium;
    –  equation of mass conservation
                        (  g Y1 )                                    t       
                                    +   (  g YV
                                                 1 g ) =     g D1 +      Y1  + Qmass ,
                                                                                          p
                                                                                                            (2)
                           t                               
                                                                       Sct       
where Sct=1,0 – turbulent Schmidt number; Y0 – mass concentration of the dispersed media;
                                                                                 k2
Y1=1-Y0 – mass concentration of the carrier medium; t = C  g                       – turbulent viscosity of a
                                                                              
continuous carrier medium of the standard k-ε turbulence model [20]; k – turbulent energy; ε –
dissipation rate of turbulent energy [9]; С∞=0,09; D1 – effective molecular diffusion coefficient of
the exhaust gas substance (is calculated as the binary diffusion coefficient of the exhaust gas
substance in nitrogen) [21];
    – equation of conservation of momentum
                          (  gVg )
                                     +   (  gVg  Vg ) = −P +   ˆg +  g g + Qmass
                                                                                     p
                                                                                          ,   (3)
                             t
where P – full pressure of the carrier medium; g – free fall acceleration vector; ˆg – vector of
the effective viscous stress tensor in a continuous bearing medium..
   2) Mathematical model of the motion of a dispersed medium in the form of Lagrangian
particles [4, 10]:
   – equation of motion of the dispersed particle
                               dx p
                                    = Vp ;
                               dt
                               dV                                                            (4)
                               p =  d C  V V + g 1 −  g  ,
                                            2

                               dt                             
                                                           P 
                                              D g r  r
                                        8m
where xp – change in the coordinate of the dispersed particle during movement; VP – change in
the velocity of the dispersed particle during movement; m – mass of a dispersed particle; ρg –
density of a dispersed particle; Vr = Vg − Vp – velocity of the dispersed particle relative to the
                                                              24
carrier medium; d – diameter of a dispersed particle; CD =       + 0, 44 – particle drag coefficient
                                                              Re
[22]; Re – Reynolds number [8]; Vg = Vg    + Vg – carrier phase velocity; Vg – average velocity
of a dispersed particle; Vg – pulsating component of the dispersed particle velocity.
   On the basis of the technical drawings of the pyrolysis plant in the CAD system, a three-
dimensional CAD model (see Fig. 2) of the design of the cyclone system was developed. This, in
turn, made it possible to use the geometric area (Fig. 4) in which the movement of the gaseous
medium takes place (exhaust gases).




       Figure 4: The calculated area of the internal cavity of the cyclone cleaning system

   The internal cavity of the cyclone cleaning system is taken as the calculation area, and it is
enough to take only one of the sides of the calculation sub-area, for example the right (left),
since the model is symmetrical with respect to the plane of the intake pipe. Inside the
calculation area, the main studied gas-dynamic processes take place [23]. The basic initial data
are determined on the three-dimensional model of the geometric area, which in turn will be the
boundary conditions for calculating the combustion process (see Fig. 4). The gaseous
environment is composed of combustion products of natural gas and air. The dispersed medium
is made up of carbon, with the relative volume of the dispersed phase being Y0=0,01 of the total
volume of the gaseous medium. The model used for the collision of particles with cyclone walls
is one that incorporates partial velocity damping [24]. It is also assumed that the dispersed
particles interact with each other, while introducing the average particle movement resistance
coefficient CD (see 4).
   In this geometric area, the model of turbulent flow in a weakly compressed two-phase
medium serves as the basis [24]. At the entrance to this area, an air-gas mixture (carrier
medium) is supplied, with the following parameters (boundary conditions) [4, 18]: volume of
solid pollutant particles in the form of spherical dispersed particles with a diameter of d=0,20
mm; consumption of the carrier gas medium Q=0,85 kg/(m2·sec); exhaust gas temperature
T=6930,0 K; initial pressure P=101325,0 Pa; coefficient of gas and air input flow pulsation
b=0,03; turbulence scale I=0,01 m. The condition of flow with a boundary layer, characterized
by the logarithmic law of change of the tangential component of velocity, is observed on the
inner walls of the cyclone chambers [25]. The boundary condition at the exit is set as zero flow.
                                              Since the aerodynamic process is calculated using
                                           the finite element method [6, 18, 26], it is necessary to
                                           construct a finite volume calculation grid for further
                                           calculations. This grid should take into account the
                                           flow near the characteristic elements of the burner
                                           design, which can create local vortices [20, 27-30]. The
                                           initial calculation grid (Fig. 5) was initially made
                                           uniform throughout the calculation area and then
                                           adapted to different levels on the surface.
                                              For this stationary problem of aerodynamics, a
                                           constant time step is chosen based on 1/10 of the flight
                                           time for the characteristic size of the problem. In this
                                           case, the typical size is the length of the cyclone system
                                           pipeline, Lm=2,0 m. Time of flight refers to the time
                                           required for a hypothetical particle moving with an
                                           average flow speed of V≈1,0 m/sec (the speed of
                                           dispersed particles and hot gases are approximately
 Figure 5: The scheme of the finite-       equal to each other) to overcome the characteristic
       volume calculation grid             size, τm=0,1(Lm/V)=0,1(2,0/1)=0,20 sec. Therefore, to
                                           obtain adequate calculation results, a constant
calculation time step of τ = 0,2 sec is adopted.

    2.3. Results of the research

   Using the methods of numerical solution [14, 17] for systems of partial differential equations,
the mathematical model (1)–(4) was solved in an integrated numerical environment based on
the C++ programming language. The calculation of the above equations resulted in the
distribution of the concentration of dispersed particles (carbon particles) in the cavity of the
cyclone system (Fig. 6).
     Figure 6: Concentration distribution of dispersed pollutant particles in the XOZ plane

   The result of the calculation of hydrodynamic processes is also the distribution of exhaust
gas flow velocities in the cyclone system cavity (Fig. 7).




                                                a)
                                                 b)
     Figure 7. Velocity distribution of exhaust gases in the cyclone system cavity of a waste
                                          treatment plant
                а) – in the XOZ plane; b) – by cavity volume of the cyclone system

    2.4. Discussion of the study results

   Analyzing the distribution of the concentration of dispersed particles (carbon particles) in
the cyclone system cavity (see Fig. 6), it is clear that the highest concentration of coarse
pollutants is generally located in the cone-shaped cavity of the cyclones. Moreover, the highest
concentration of dispersed particles is located on the inner walls of the cyclones
(5,56·1010 units), which confirms the effectiveness of using centrifugal force to clean the large
fraction of flue gases [29].
    It can also be noted that the thickness of the wall layer of dispersed particles increases as it
approaches the height of the cone, which, in turn, confirms the effectiveness of using external
gravity to settle the separated large pollutants. It should be noted that an insignificant amount
of dispersed particles enters the outlet collector 4 (2,23·1010 units), which confirms the need to
use an additional system of fine exhaust gas cleaning. The use of cyclones installed in series
contributes to additional purification of exhaust gases from larger pollutants, as evidenced by a
decrease in the concentration of dispersed particles at the collector inlet (2,23·10 10 units) and
the resulting separation coefficient kc=0,83.
   Analyzing the distribution of velocities (see Fig. 7, a) in the cavity of the cyclone system, one
can note the presence of extreme velocity values (2,60 m/sec) at the top of the cyclone cone
(lower base), which indicates the presence of an optimal design of the cyclone system. There is
also a velocity gradient along the vertical axis of the cyclone cavity (1,40 m/sec), which
indicates the presence of a vortex (tornado) phenomenon. This, in turn, causes the emergence of
centrifugal forces that move large pollutants to the cyclone walls. It should be noted that there is
a wall flow of exhaust gases (1,30 m/sec), which causes the emergence of an additional
centrifugal force that increases the efficiency of separation from dispersed particles. Analyzing
the distribution of the current lines of velocity vectors in the cavity of the cyclone system (see
Fig. 7, b), it is possible to note extreme velocity values (6,56 m/sec) at the inlet to the first (left)
conical tank of the cyclone system. This negative phenomenon can be avoided by locally
increasing the diameter of the inlet pipe 3 (see Fig. 2) at the cyclone connection. The uneven
velocity values (see Fig. 7, a) at the inlet to the cyclone system outlet manifold (1,30 m/sec), as
well as extreme values of the concentration of dispersed pollutant particles (3,90·1010 units),
can be avoided by structurally changing the size of the cyclones (increasing the overall size of
the left cyclone will allow for the equalization of exhaust gas velocities).

3. Conclusions
   1. A methodology for computer modeling of aerodynamic processes in the flue gas cleaning
system has been developed. This methodology is based on a CAD-system for computer-aided
design and an integrated calculation environment that uses the C++ programming language.
   2. A mathematical model of the dynamics of exhaust gas flow has been developed. This
model describes the motion of the carrier and dispersed media in the form of systems of partial
differential equations.
   3. The operational dependencies of the distribution of exhaust gas velocity and the
concentration of dispersed pollutant particles in different planes of the cavity of the cyclone
system of the waste disposal unit were obtained.
   Based on the results of numerical modelling of the exhaust gas purification process of a
pyrolysis unit for waste disposal, a value of the separation coefficient kc=0,83 was obtained for
the minimum size of a dispersed particle of carbon-type pollutants d=0,20 mm for an average
velocity of exhaust gases in the pipeline v=1,0 m/sec. The developed design of the inertial
exhaust gas cleaning system of a pyrolysis plant for waste disposal consists of six cyclones with
a diameter of Dc=0,50 m and a nominal diameter of dy=0,05 m. The results obtained from
numerical modeling of the inertial exhaust gas cleaning system of the waste disposal unit
showed the advantages of the chosen modeling approach and also proved the effectiveness of
the developed cyclone designs.

Acknowledgements
  The authors are grateful to all colleagues and institutions that contributed to the research
and made it possible to publish its results.

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