Volume 9 - Year 2022 - Pages 01-09
DOI: 10.11159/jffhmt.2022.001

Numerical Simulation of Innovative Air Capture Systems Based on Bladeless Technology with Coandă Effect

Maurizio Carlini1, Andrea Mennuni1, Mirko Rotondo2, Stefano Morelli2

1University of Tuscia, CIRDER
Largo dell’Università, 01100 Viterbo, Italy
maurizio.carlini@unitus.it; andrea.mennuni@unitus.it
2University of Tuscia, DEIm
Largo dell’Università, 01100 Viterbo, Italy
mirko.rotondo@unitus.it; stefano.morelli894@gmail.com

Abstract - This work focuses on the feasibility study of a new suction hood model that allows the complete disposal of the fumes produced during cooking. The originality of this study lies in the conception of a new functional geometry meant to reduce consumption, focusing on the increase of both efficiency and aspiration efficiency. The new technology is based on the Coandă effect applied on two innovative air capture systems of hood model. On one hand the air flow amplifier, a system that, starting from a low inlet flow rate, allows 10 times increasing of the output flow rate. On the other hand, the bladeless fan, which is usually implemented in newest bladeless ventilation systems. A simulation campaign has been conducted with COMSOL Multiphysics software to validate the simulation scenarios comparing the experimental results with respective references. For the post-validation step, the parametric sweep function has been used to study the system behaviours to every change of velocity, flow rate and extension of the ejector. The obtained results show the feasibility of these new suction systems, which present lower consumptions than other modern ventilation systems for kitchens. The computed results show that the perimeter velocity is in accordance with European standards. The perimeter velocity for air flow amplifier geometry allows a suction capacity range between 460 m3/h and 3600 m3/h. In the bladeless fan case, the suction capacity is in a range between 325 m3/h and 2500 m3/h. Therefore, the two geometries can be installed for both domestic and commercial kitchens.

Keywords: Bladeless technology; Coandă effect; air capture system; extractor hood; COMSOL Multiphysics; CFD analysis; multiparametric analysis.

© Copyright 2022 Authors - This is an Open Access article published under the Creative Commons Attribution License terms Creative Commons Attribution License terms. Unrestricted use, distribution, and reproduction in any medium are permitted, provided the original work is properly cited.

Date Received: 2021-08-26
Date Accepted: 2021-12-22
Date Published: 2022-01-17

1. Introduction

In order to reduce pollution emissions, innovative technologies are growing in accordance with current EU standards in terms of energy efficiency, in coupling with the renewable sources.

Hoods for fumes extraction are present in all homes, inside industries and in catering environments. Their main function, especially in the kitchen environment, is to extract the cooking fumes, improving the air quality where the device is installed [1]. Clearly, the position is a crucial consideration, since an incorrect placement leads to fumes and pollutants stagnation inside the dwelling [2]. For a correct ejection of the produced fumes, a fan must be installed to allow and guarantee a sufficient prevalence and flow rate, managing to overcome the load losses generated by the presence of the filter (to remove solid particles and liquids of grease and steam contained by the fluid crossing the hood) [3]–[5].

The design of the aspiring systems must be provided in accordance with different European standards and requirements. Moreover, the size and type (professional or domestic) of the installation environment have to be considered. The fundamental parameter is the calculation of the right suction flow for the disposal from the surrounding environment, of the main cooking fumes pollutants, in order to avoid the spread of contaminants inside the housing structure [6]–[9]. Proper design finds the right compromise between the aspirated flow rate that allows the disposal of all pollutants and the higher energy efficiency [10], [11], always in accordance with EU directives [12]. In fact, the world is moving to sustainable principles by means of known technologies optimization, such as for the building sector [13], [14], for the photovoltaic system [15], [16], for the biological conversion [17]–[19] using different input biomasses [20]–[22] and for the geothermal field [23], [24]. The study of these technologies can be extended by a simulation software, allowing the development of numerical campaigns on virtual prototypes [25], [26], reducing the production costs in the meanwhile [27], [28].

This work aims to define the velocity field of n. 2 hood models with bladeless technology through COMSOL Multiphysics software, validating the simulation scenarios with the reference data. Then, a parametrization is used to change the geometry (ejectors), velocity and flow rate, observing the feasibility and the behavior of the systems. The various advantages of the installation of the bladeless technology are the absence of moving parts in the suction area (vibrations are not produced), reduced cleaning and maintenance, low noise, high suction capacity, reduced weight and consumption.

2. Materials and methods

2. 1. Experimental Characterization

The study involves the collection of bibliographical data that will be used as a reference for numerical simulations. Two different geometries are analyzed, a first geometry called Air flow amplifier, basically an air amplifier, and a second one called Bladeless fan. Both of these models take advantage of the Coandă effect which leads to an increase in terms of output flow, which is even 10 times higher than the inbound one. In particular, for the Air flow amplifier, several elaborations concerning optimization and CFD simulation (Computational Fluid Dynamics) have been reported by [29], [30], while for the Bladeless fan the main reference has been provided by the engineering company BW Engineering © and the company Dassault Systèmes ®, developer of the Abaqus software and CAD software SolidWorks ®. For both models, given the high complexity, CAD-based software has been used to extrapolate the correct measurements. Therefore, several papers have been analyzed for the Bladeless fan [29], [30]: for both geometry [31]–[33] and simulation conditions the geometry a tutorial by the engineering company BW Engineering has been chosen [34].

2. 2. Main Physical Phenomena Identification and Implementation

The Coandă effect indicates that a flow flowing over a surface is influenced by two simultaneous forces. The global effect is a deviation of the fluid layers near the surface, as such layers show a tendency to adhere to the same surface [35]. Multiple applications have been developed about Coandă effect, leading to significant improvements both in aeronautics [29] and in medicine [36], [37].

The analysis is carried out through COMSOL Multiphysics (CM), a multiphysical simulations software which provided a multidisciplinary approach to the physics and phenomena to implement within the scenario. CM resolution approach is based on the Finite Element Method (FEM) to solve physical models and engineering problems [38]–[40]. Several papers have been consulted to understand the phenomenon before its implementation in CM [41]–[43]. In this particular case, axisymmetric 2D geometry is chosen as a spatial dimension and the CFD module is used for physics. By means of the CFD module, as provided by CM, it is possible to model in the same scenario environment both the heat transfer to solids or fluids and reagent flows. In this study, the "Turbulent Flow" interface of the "Single-Phase Flow" model contained within COMSOL Multiphysics's "Fluid Flow" module is selected [44].

2. 3. Simulation Campaign

The strategy of the simulation campaign is based on the reference data obtained by bibliography. The full geometry is defined in CM as shown by Figure 1a and Figure 1b for the Airflow amplifier and Bladeless fan, respectively.

(a) (b)
Figure 1. The whole geometry of: a) Air flow amplifier; b) Bladeless fan.

Once the geometry is designed, it is possible to pass through the materials selection and assignment. In this case the material that needs to be selected is air. The boundary conditions made for the study of turbulent flow k –  are the following: wall (No slip), inlet where the mass flow (min=0,25 kg/s) is inserted for the Air flow amplifier model while the condition of velocity (vin=2 m/s) is implemented for the Bladeless fan model, outlet by using the pressure condition for both geometries and open contour to identify the boundary where incoming and outcoming fluxes are possible. Then, the model is meshed and calculated by means of a stationary approach. The simulation output is the 2D velocity across the whole geometry. Once the scenarios have been validated, a parametric sweep is conducted to carry out a wider analysis. In this case, for both geometries a sweep is initialized referring to n. 2 parameters and, for each of them, 4 different values are considered. It follows that n. 16 scenarios are solved. Referring to the Air flow amplifier scenario, the flow rate (min) and the curvature of the arcs (that influences the ejector opening) change, as defined by Table 1. In the case of the Bladeless fan scenario, the velocity (vin) and the point that defines the ejector opening vary, as defined by Table 1. The different combinations allow the study of the velocity field of the two systems as the inlet conditions and the ejector opening change. Then, it is possible to identify which configuration should be used for a specific application.

Table 1. Parametric sweep for the Air flow amplifier.

 

Parameter

Value

Air flow amplifier

ejector [mm]

0,30

0,50

0,55

0,65

min[kg/s]

0,10

0,15

0,20

0,25

Bladeless fan

ejector [mm]

1,00

1,15

1,30

1,40

vin[m/s]

1,00

2,00

3,00

4,00

3. Results

3. 1. Numerical scenarios validation

The first step is the validation of the scenarios comparing the results obtained by numerical simulation (from COMSOL Multiphysics) with the ones by reference data. The maximum discrepancy of these results has been fixed up to 5.0%, which follows the scenario validation. The velocity field in the whole geometry is reported by Figure 2 and Figure 3 for the Air flow amplifier and Bladeless fan scenarios, respectively. Calculating the discrepancies in different points, the obtained values satisfy the discrepancy requirement for both models, therefore the numerical scenarios can be considered validated.

(a) (b)
Figure 2. Velocity field of the Air flow amplifier scenario: a) whole implemented geometry; b) focus around the ejector.
(a) (b)
Figure 3. Velocity field of the Bladeless fan scenario: a) whole implemented geometry; b) focus on the “shovel”.

More in details, once validating numerical scenarios, Table 2 defines the simulation results compared with the reference data to calculate the discrepancy for the Air flow amplifier and Bladeless fan models.

Table 2. Validation of the models with the reference values for both Air flow amplifier [29] and Bladeless fan [34] scenarios.

Model

Value

Reference data

[m/s]

Simulation result

[m/s]

Discrepancy

[%]

Air flow amplifier

max. vel.

281,50

282,00

0,18

ejector output vel.

200,00 – 210,00

203,00

1,50 – 3,33

vel. on curvature

180,00

174,00

3,33

Bladeless fan

max. vel.

35,09

35,80

2,02

queue vel.

15,00 – 16 ,00

15,58

3,87 – 2,63

3. 1. Parametric analysis

Explicit selections were created through the "Definitions" section of CM, which were then used to calculate the average and point velocities at different distances. Figure 4 and Figure 5 represent the explicit selections used to calculate the average inbound velocity and the velocity at different distances from the perimeter edge for the Air flow amplifier and Bladeless fan model, respectively.


(a)

(b)
Figure 4. Explicit selections of the Air flow amplifier: a) line for calculating the average velocity; b) points to identify the velocities at different heights.

(a)

(b)
Figure 5. Explicit selections of the Bladeless fan: a) line for calculating the average velocity; b) points to identify the velocities at different heights.

Different graphs have been constructed to understand the trend of the maximum velocity and the average velocity in the inbound section. In particular, Figure 6 shows the trend of the maximum velocity and the average inbound velocity changing the ejector opening and the inlet flow rate (min) for the Air flow amplifier, while Figure 7 shows the trend of the maximum velocity reached in the section of the rejector and the average inbound velocity changing the ejector opening and the inlet velocity (vin) for the Bladeless fan.

(a) (b)
Figure 6. Velocity filed for the Air flow amplifier: a) maximum velocity; b) average inbound velocity.
(a) (b)
Figure 7. Velocity filed for the Bladeless fan: a) maximum velocity; b) average inbound velocity.

In Table 3, the velocity results are reported depending on the opening of the ejector and the distance from the edge of the hood in different values of inlet flow rate for the Air flow amplifier. In Table 4, the velocity results are reported depending on the opening of the ejector and the distance from the edge of the hood in different values of inlet velocity for the Bladeless fan. Results highlighted in red identify the perimeter velocities that need to be compared with the minimum ones eligible by the European standards.

Table 3. Perimeter velocity values at different heights for different ejector openings and inlet flow rates (Air flow amplifier).

 

AE / Point

Vel. at different heights [m/s]

0 cm

25 cm

45 cm

65 cm

85 cm

min= 0,10 kg/s

0,30 [mm]

0,68

0,66

0,36

0,18

0,09

0,50 [mm]

0,53

0,50

0,31

0,16

0,08

0,55 [mm]

0,48

0,45

0,30

0,15

0,07

0,65 [mm]

0,40

0,38

0,28

0,14

0,07

 

min= 0,15 kg/s

0,30 [mm]

1,45

1,19

0,55

0,28

0,14

0,50 [mm]

1,14

1,02

0,48

0,24

0,12

0,55 [mm]

1,05

0,98

0,46

0,23

0,11

0,65 [mm]

0,89

0,91

0,42

0,21

0,10

 

min= 0,20 kg/s

0,30 [mm]

2,31

1,61

0,75

0,38

0,19

0,50 [mm]

1,92

1,38

0,64

0,32

0,16

0,55 [mm]

1,76

1,33

0,62

0,31

0,15

0,65 [mm]

1,51

1,23

0,57

0,29

0,14

 

min= 0,25 kg/s

0,30 [mm]

3,08

2,02

0,94

0,47

0,24

0,50 [mm]

2,64

1,74

0,81

0,41

0,20

0,55 [mm]

2,44

1,67

0,78

0,39

0,19

0,65 [mm]

2,14

1,55

0,72

0,36

0,18

Table 4. Perimeter velocity values at different heights for different ejector openings and inlet velocities (Bladeless fan).

 

AE / Point

Vel. at different heights [m/s]

0 cm

25 cm

45 cm

65 cm

85 cm

vin= 1,0 m/s

1,00 [mm]

1,25

0,15

0,06

0,03

0,01

1,15 [mm]

1,20

0,14

0,06

0,03

0,01

1,30 [mm]

1,13

0,13

0,05

0,03

0,01

1,40 [mm]

1,06

0,12

0,05

0,02

0,01

 

vin= 2,0 m/s

1,00 [mm]

3,10

0,30

0,12

0,06

0,02

1,15 [mm]

2,97

0,29

0,12

0,05

0,02

1,30 [mm]

2,72

0,26

0,11

0,05

0,02

1,40 [mm]

2,52

0,25

0,10

0,05

0,02

 

vin= 3,0 m/s

1,00 [mm]

5,18

0,46

0,19

0,09

0,03

1,15 [mm]

5,00

0,44

0,18

0,08

0,03

1,30 [mm]

4,63

0,40

0,17

0,08

0,03

1,40 [mm]

4,30

0,38

0,16

0,07

0,03

 

vin= 4,0 m/s

1,00 [mm]

7,26

0,61

0,25

0,11

0,04

1,15 [mm]

6,96

0,58

0,24

0,11

0,04

1,30 [mm]

6,47

0,54

0,22

0,10

0,04

1,40 [mm]

6,07

0,51

0,21

0,10

0,04

4. Discussion

The study highlighted the feasibility of the creation of suction hoods with Air flow amplifier and Bladeless fan geometry, identifying which of the two solutions should be the most suitable to be implemented into domestic or commercial environments. European standards were consulted for the benchmarks, in particular for the velocity on the perimeter edge of the hood, the minimum required value to be considered was 0,25 m/s. The data collected for the Air flow amplifier system show very high maximum velocity (Figure 6a), reached in the section of the ejector, for each configuration studied. In fact, values go from a minimum of 82,30 m/s up to a maximum of 476,00 m/s. As Figure 6b shows, the average velocity values in the input section are higher than the minimum values required. The identification of the punctual velocities at different distances from the perimeter edge of the hood was conducted for n. 5 points. Table 3 shows slightly lower values for distances from the edge of the hood of 65,00 and 85,00 cm, but a correct suction of the fumes remains possible. In fact, the standard prescribes that the velocity on the perimeter edge of the hood must be equal to or greater than 0,25 m/s and, in the case of Air flow amplifier geometry, this condition is always respected for all analyzed incoming flows. The choice to evaluate the development of velocity at different distances from the hood boundary allows to identify which configuration can be installed as required. In particular, once computed results have been evaluated, it should be possible to identify which solution, with the same ejector opening, is the most affordable for the consumption while maintaining a correct expulsion of the smokes produced. The flow rates generated by the system is between 460,00 m3/h and 3600,00 m3/h, so this system could be used for both kitchens in domestic and commercial contexts. For the collection of Bladeless fan system data, the same steps and types of evaluation are performed. The maximum velocities reached (Figure 7a) are lower than in the previous system, but are still considerably high, with a variation between a minimum of 16,70 m/s and a maximum of 88,70 m/s. As Figure 7b shows, the average velocity values in the input section are higher than the minimum values required. Finally, Table 4 shows a decreasing trend of velocity as the distance from the edge increases, reaching very low values at distances of 65,00 cm and 85,00 cm but the velocity on the perimeter edge is still greater than the minimum required. In general, with Bladeless fan geometry the reached flow rates are lower than the Air flow amplifier, being between 325,00 m3/h and 2500,00 m3/h. Furthermore, the obtained data for both geometries identify a progressive velocity decrease while ejector opening increasing.

Conclusion

The study highlights the possibility to install both systems in home and commercial kitchen environments using bladeless technology. Two models have been investigated: the Air flow amplifier and the Bladeless fan. The Air flow amplifier and the Bladeless fan have been validated comparing the 2D stationary Finite Element Method simulation scenarios with the reference data in terms of reached velocities. The used method for the validation is the calculation of the discrepancy between numerical and bibliography data: the values are below the imposed upper limit of 5%. Then, a parametrization of input values is conducted to study the behavior of the systems and to understand if these models can be work correctly in different input conditions. The chosen parameters for the Air flow amplifier are the ejector opening and the inlet flow rate while for the Bladeless fan those parameters are the ejector opening and the inlet velocity. For different opening conditions of ejector, referring to both models, the velocity on the perimeter edge of the hood is compared with the European standard, which is imposed at 0,25 m/s. All the collected velocities on the perimeter point overcome the European limit, therefore the studied geometries could be used. These models have to be slipped into the real case to understand the needs of real field application. Furthermore, the Air flow amplifier (powered by a compressor) could work correctly even inside larger kitchens, since the maximum flow rates are greater than Bladeless fan geometry (system powered by an engine with a fan, also positioned at a distance of 60,00 cm).


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