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Article

Effect of Airflow Non-Uniformities on the Thermal Performance of Water–Air Heat Exchangers—Experimental Study and Analysis

1
Energy and Thermofluid Group, The International University of Beirut BIU, Beirut Campus, Beirut P.O. Box 146404, Lebanon
2
Interdisciplinary Energy Research Institute (PIERI), University Paris Diderot, Sorbonne Paris Cite, 75013 Paris, France
3
Energy and Thermo-Fluid Group, Lebanese International University LIU, Bekaa Campus, Bekaa 1801, Lebanon
4
College of Engineering and Technology, American University of the Middle East, Kuwait
5
LARIS EA 7315, Polytech Angers, University of Angers, 49000 Angers, France
6
ISTHY, l’Institut International sur le Stockage de l’Hydrogène, 90400 Meroux-Moval, France
7
Electrical Power and Machines Department, Faculty of Engineering, Zagazig University, Zagazig 44519, Egypt
*
Author to whom correspondence should be addressed.
Energies 2022, 15(21), 8120; https://doi.org/10.3390/en15218120
Submission received: 19 September 2022 / Revised: 11 October 2022 / Accepted: 26 October 2022 / Published: 31 October 2022

Abstract

:
The thermal performance of fin-and-tube heat exchangers (HX) is a crucial aspect in a multitude of applications and fields; several design and operational parameters influence this performance. This study focuses on the issue of flow maldistribution and its effect on the HX thermal performance. For this purpose, an experimental setup is designed and implemented to emulate the conditions under which an automotive heat exchanger operates in regard to the non-uniform upstream airflow velocity distribution over the HX surface. The setup allows obtaining various configurations of airflow velocity non-uniformity of some desired mean velocity and standard deviation. The experimental results reveal that a higher degree of non-uniformity (higher standard deviation of the velocity distribution) causes an increased deterioration of the HX thermal performance. For example, at a water flowrate of 200 L/h and a mean airflow velocity of 2 m/s, increasing the standard deviation from 0 to 2 m/s (i.e., moving from the lowest to highest degrees of non-uniformity) causes a total deterioration of 27% in the performance (3.78 to 2.75 kW, respectively), which can also be observed in the increased level of outlet water temperature (53.8 to 58.2 °C, respectively). The obtained results confirm the numerical results reported in the literature.

1. Introduction

Underhood aerothermal management is a discipline in automotive research that includes a multitude of studies than be classified into three main axes [1,2,3,4,5]:
  • Development of experimental measurement techniques appropriate for underhood experimental analysis;
  • Physical analysis of heat transfer phenomena occurring in the zone engine/components and development of associated analytical and semi-analytical models;
  • Analysis and thermal modeling of the zone comprising the heat exchangers.
It is to the framework of the third axis that the present study belongs.
Indeed, heat release and heat transfer phenomena are perhaps a definite occurrence in multiple fields. Regardless of it being undesirable or necessary for proper operation of the system at hand, this transfer must be controlled, perhaps for the recovery of lost heat or enhancing the heat transfer. This is the case in several engineering fields, especially energy systems, heating/cooling, industrial and automotive applications [6,7,8]. In such systems, heat exchangers (HX) are used to achieve the desired transfer of heat, mainly between two fluid streams.
There are numerous types of heat exchangers, which are classified mainly according to their geometry and the flow pattern. Common types include fin-and-tube, shell-and-tube, counter flow channels, and plate HX [9,10,11]. The big picture behind this study is the car underhood compartment where a heat exchanger is needed to cool the engine. The focus of this paper is the fin-and-tube HX which is often used in a car underhood, mainly due to its compactness, thermal efficiency and lightweight. Fin-and-tube HXs are composed of tubes of elliptical sections that pass among multiple parallel fins that are said to increase the heat transfer surface.
The literature [12,13,14,15,16] reveals that the thermal performance of fin-and-tube type HXs relies on geometrical parameters such as tube pitch spacing in addition to operational parameters including fluid properties, e.g., temperatures at the inlet and outlet of the fluid streams, their flowrates, and the overall coefficient of heat transfer. Moreover, previous studies show that for a given fin-and-tube HX, the thermal performance is influenced by the topologies of the two fluid streams. Precisely, the distribution of the airflow (which is often the cooling flow) exhibits a superior effect on the HX performance than the tube flow (hot flow) [17,18]. In other terms, a single fin-and-tube HX will convey different thermal performances when cooled by different airflow distributions despite having the exact same flow rate. In fact, when integrating a fin-and-tube HX in a system of complex design, e.g., a car underhood compartment, it is surely subjected to non-uniformities in the airflow velocity and temperature profiles. The thermal performance deteriorates under velocity non-uniformity [19,20,21]. However, few studies [22,23,24] focused directly on the effect of non-uniformities of velocity and temperature on the thermal performance of HXs. Numerical investigations by Khaled et al. [22,23,24] reveal that velocity non-uniformities of air and water in a fin-and-tube HX can cause a performance degradation of up to 40%. As an example, taking the case of a mean airflow velocity of 10 m/s, moving from the case of a uniform distribution to the highest degree of non-uniformity causes a 33.5% drop in the HX performance (from 62 to 41.2 kW). Tests on the effect of water flow rate maldistribution reveal also a similar outcome, where for example, at a mean flowrate of 6000 L/h and when moving also from the lowest to the highest degrees of non-uniformity, the performance decreases from 36.1 to 18.5 kW, whereas temperature non-uniformities have the possibility to improve or reduce the performance by up to 5%.
Moreover, a variety of investigations focus on studying the effects of airflow non-uniformity. Song et al. [25] studied a multi-circuit evaporator’s performance when subjected to non-uniform velocity; the numerical and experimental investigations revealed a 7.78% decrease in the evaporator capacity while under maldistributed airflow compared to the case of a uniformly distributed one.
Belcich et al. [26] investigated the effect of non-uniform distributions of the entering airflow temperature and velocity fields on an air-cooled HX (cross-flow type) performance. Accordingly, the non-uniformity leads to reducing the performance of the heat exchange by 2%.
Recently, Lanping Zhao et al. [27] have studied also the effect of non-uniformity of air flow on a parallel-flow type HX’s (PFHX) thermal performance using an automotive radiator. Based on their results, the non-uniformity of air flow causes a rapid deterioration on the performance of the heat exchanger, and it could reach around 19%.
T’Joen et al. [28] established a simulation method that allows predicting the effects of maldistributed airflow on heat exchangers with a uniformly distributed liquid flow; it was concluded that this maldistribution harms the performance of the HX, the presented method also aids in designing more efficient HXs. Mueller [29] investigated laminar and turbulent non-uniform airflows, and concluded that while some HX types undergo small performance reductions under turbulent non-uniform airflow, the reductions are more severe under laminar non-uniform airflow. Mao et al. [30] studied the thermal performance of a fin-and-tube HX subjected to airflow non-uniformity and found a deterioration up to 6%. Yaici et al. [31] studied the thermohydraulic performance of HXs under airflow non-uniformity and presented a useful tool for the design and optimization of HXs to avoid harmful effects of non-uniformity.
Some studies in the literature also focus on the temperature maldistribution. Kou and Yuan [32] studied the performance of a direct transfer HX, concluding that temperature non-uniformity enhanced the performance. Guo et al. [33] investigated the effectiveness of several HX types with respect to the distribution of temperature; it was found that effectiveness decreases with maldistributed temperature difference fields. Mishra et al. [34] conducted finite difference calculations of temperature dynamics in a cross-flow HX under temperature and flow maldistributions for several conditions. Zhu et al. [35] performed a numerical investigation on fluid parameters and their impact on heat transfer, and the study concluded that a reduced fluid velocity improves the thickness of the thermal boundary layer. Ishaq et al. [36] studied the effect of flow distribution on the performance of a double pipe heat exchanger when adding fins of a diamond shape. Based on the present brief literature review, it could be concluded that the non-uniformity has a significant effect on the heat transfer performance of heat exchangers. Consequently, it should be taken into consideration. For these reasons, the present paper focuses on the effects of airflow velocity maldistribution upstream a fin-and-tube HX through an experimental setup. The setup permits circulating a hot water flow through the tubes and allows controlling the airflow velocity profile upstream the HX to a desired non-uniformity configuration; the obtained experimental data are compared to numerical results in the literature. The originality of this work resides mainly in the experimental setup developed which permits controlling the configurations of non-uniformity so that its effect can be studied under a wide range of parameters in the future. It also allows us to have some experimental data that serve in the validation of numerical studies.
The rest of the paper is structured such that Section 2 lays down the theoretical basics of this study. Section 3 details the experimental setup and its various components. Section 4 is devoted to the testing configurations and their results. Then, Section 5 provides some discussion and analysis to finally draw conclusions in Section 6.

2. Theoretical Background

Passing through the detailed literature in the preceding section and the previous investigations by the authors of this article [22,23,24], it is observed that multiple numerical methods exist in order to characterize the effects of non-uniform distributions of airflow velocity and temperature on the HX thermal performance. Nevertheless, most methods share the concept of discretizing the heat transfer area into n × m cells and performing energy analysis locally on each cell, as shown in Figure 1.
Each cell is characterized by local airflow velocity and temperature values; output parameters of the energy balance analysis of each cell are taken as input parameters of the neighboring cell. This allows the analysis of the global airflow velocity and temperature non-uniformity scheme.
The basic objective of the different investigations summarized above is to analyze how the HX thermal performance is affected under non-uniform airflow velocity and temperature distributions. The aim of such analysis is to enhance the performance of an HX by optimizing the design and the setup to reach an optimum airflow arrangement to cool the fin-and-tube HX. Consequently, experimental analysis is crucial to validate the results and conclusions obtained through numerical tools, in addition to providing a basis for the improvement of the models built and their accuracy. Therefore, a suitable experimental setup must be designed and implemented; it should be flexible in a way that allows varying and controlling airflow velocity and temperature distributions upstream the heat transfer area of the HX. This is to permit performing parametric analysis for any desired degree and configuration of non-uniformity.
The mathematical model on which the computations are based is based mainly on the discretization of the HX surface into an n × m matrix of cells; the procedure is based on the following assumptions:
  • Hot water inlet flow is uniformly distributed among the columns of the discretized HX surface.
  • Perfect mixing is assumed at the outlet of the columns.
  • The temperature at the outlet of each cell is considered as the inlet temperature of the neighboring cell.
  • The method of obtaining an overall heat transfer coefficient of the entire HX is valid on each cell in the HX matrix.
The thermal performance (heat transfer rate among the two fluid streams) of a water–air HX is given by the following relation [23]:
Q ˙ = U A E T D
where U represents the overall heat transfer coefficient (referred to as U-value in the remainder of the paper), A is the surface of heat transfer (area of the HX separating the two fluids), and ETD stands for the extreme temperature difference given by:
E T D = T i n , w + T o u t , w 2 T i n , a i r
where T o u t , w and T i n , w represent, respectively, the outlet and inlet water temperatures in the HX. T i n , a i r corresponds to the upstream air temperature over the exchanger.
A previous study [23] concluded that the exchanger’s U-value does not depend on ETD but rather is a function of air and water flow rates m ˙ a i r and m ˙ w :
U = f ( m ˙ w ; m ˙ a i r )
Applying the thermal performance formulation of Equation (1) to each cell of the discretized HX surface yields:
Q ˙ c e l l = U c e l l A c e l l ( T m e a n   w a t e r , c e l l T a i r , c e l l )
where U c e l l is the overall coefficient of heat exchange between air and water at the sub-domain level, A c e l l is the cell heat transfer area, T m e a n   w a t e r , c e l l is the average water temperature in and out of the cell, and T a i r , c e l l is the cell’s upstream air temperature. On the other hand, the thermal performance corresponds to the dissipated heat of the water stream in the exchanger, which is represented in each cell as:
Q ˙ c e l l = m ˙ c e l l , w a t e r C p , c e l l ( T i n , c e l l T o u t , c e l l )
Such that m ˙ c e l l , w a t e r stands for the cell water flowrate, C p , c e l l the thermal capacity of water, and T o u t , c e l l and T i n , c e l l are, respectively, the outlet and inlet water temperatures in the cell.
The cell’s outlet water temperature is determined by combining Equations (4) and (5) as follows:
T o u t , c e l l = a ( m ˙ c e l l , w a t e r ; V c e l l ) T i n , c e l l + b ( m ˙ c e l l , w a t e r ; V c e l l ) T a i r , c e l l
a ( m ˙ c e l l   w a t e r ; V c e l l ) = 2 U c e l l ( m ˙ c e l l , w a t e r ; V c e l l ) A c e l l U c e l l ( m ˙ c e l l , w a t e r ; V c e l l ) A c e l l 2 m ˙ c e l l , w a t e r C p , c e l l + U c e l l ( m ˙ c e l l , w a t e r ; V c e l l ) A c e l l
b ( m ˙ c e l l , w a t e r ; V c e l l ) = 2 U c e l l ( m ˙ c e l l , w a t e r ; V c e l l ) A c e l l 2 m ˙ c e l l , w a t e r C p , c e l l + U c e l l ( m ˙ c e l l , w a t e r ; V c e l l ) A c e l l
The temperature of air at the cell downstream is obtained by:
T a i r , c e l l , d o w n s t r e a m = T a i r , c e l l + K ( T o u t , c e l l T i n , c e l l )
K = m ˙ c e l l , f l u i d C p , c e l l m ˙ a i r , c e l l C p , a i r
Such that m ˙ a i r , c e l l represents the air mass flow rate in the cell and C p , a i r corresponds to the air heat capacity. Equations (6)–(10) represent the basic equations used in HX thermal modeling. The U-value of the cell U c e l l is obtained from experimental curve fits.
Considering the total area of the heat exchanger, the thermal performance is calculated by performing an energy balance among the HX inlet and outlet, as follows:
Q ˙ = m ˙ f l u i d C p ( T i n , f l u i d T o u t , f l u i d )

3. Experimental Setup

As stated previously, the experimental setup must facilitate testing under different degrees and configurations of airflow velocity non-uniformity. To proceed, the setup must be capable of emulating the real case of a HX in a car underhood. Therefore, the proposed design consists of a thermal part responsible for providing the hot water flow and an aerodynamic part responsible for providing the maldistributed airflow.

3.1. The Thermal Part

Table 1 lists the components of the thermal part of the experimental setup. A water tank is used for 100 L of volume capacity connected with a gate valve and equipped with an electric heater (3 kW). A hot water pump is used in the experimental setup. The head of the hydraulic pump is 10 m and the volume flow rate provided is 18 L·min−1. A pipe connection is installed in order to guide the flow and make a good connection between different parts. The used heat exchanger has a surface of 70 × 55 cm2, which is equipped by two temperature sensors installed at the inlet and outlet. Figure 2 shows the different parts of the entire assembly of experimental setup that has been investigated in the present project.

3.2. The Aerodynamic Part

The aerodynamic part (Figure 3) is composed of several parts as described below:
  • An air duct (70 cm × 60 cm) is discretized into 15 smaller areas (cells). Accordingly, each small area consists of 18.3 × 14 cm2. Accordingly, this division allows controlling the airflow in each cell to have the desired configuration of non-uniformity. The reasoning behind this discretization is to be in accordance with the numerical methods that are based on the same principle.
  • Fifteen 100 W fans, capable of providing an air velocity up to 13 m·s−1 through each cell (discretized duct).
  • Speed regulators to control the speed of the fans is used in order to create the velocity maldistribution configuration through the discretized duct.
  • 40-A/12-V batteries to power up the fans and their regulators.
The component layout of the aerodynamic part is illustrated in Figure 3. The complete experimental setup with the two parts connected is shown in Figure 4. The design of the experimental setup provides flexibility in testing which permits studying thoroughly the effects of airflow velocity maldistribution on the performance of a HX. The next section discusses the different velocity non-uniformity configurations achieved with the setup and their impacts on the HX performance.

3.3. Measurements and Uncertainty

Velocity measurements of air in the cells upstream of the exchanger are performed with a digital anemometer remote fan air flow meter of high precision, and water flow rates are measured using the stop watch method in preliminary tests with valves regulated at different speeds. Water temperatures at the inlet and outlet of the heat exchanger are measured using k-type digital thermocouples.
In order to validate experimental results, uncertainty analysis is considered on the temperature measurements, since the heat transfer rates (thermal performance of the heat exchanger) depend mainly on the measurement of temperatures (difference of temperatures) and since errors on the velocity measurements are relatively small. Variations of water temperatures at the inlet and outlet of the heat exchanger for tests repeated twice under the same operating conditions and configuration and then for different operating conditions (three) are considered (which gives a total of six tests). It was found that the maximum mean temperature difference between the tests is about 0.3 °C, showing a 0.5% in relative difference calculated with respect to an average water temperature of 61.5 °C, suggesting that temperature variation is well reproduced by repeating the same test and conserving the same operating conditions. On the other hand, the maximum error of positioning thermocouples in the water streams is 0.5 °C. Then, with an average measured temperature of 61.5 °C, the maximum relative error due to the present method of thermocouple positioning does not exceed 0.8%.
Finally, with 0.5% repeatability and 0.8% precision error of temperature measurement, the uncertainty is 0.94%, giving then 99.06% confidence in temperature measurements.

4. Testing Configuration and Results

The testing is performed for different mean airflow velocities that are 2 and 3 m·s−1, which are run against multiple water flow rates, namely 200, 400 and 600 L·h−1.
The experimentation is conducted as follows:
  • Fix a certain water flow rate and mean airflow velocity;
  • Try all the non-uniformity configurations at the prescribed mean air velocity;
  • Record the inlet and outlet temperatures at each configuration.
Each water flow rate will be tested with both mean air velocity values (2 and 3 m·s−1); each mean air velocity has six different non-uniformity configurations to be tested, which total 12 testing configurations for each water flow rate, with three water flow rates tested (200, 400 and 600 L·h−1); this leads to 36 testing configurations. The non-uniformity configurations for each mean airflow velocity are shown in Figure 5 and Figure 6.
In each configuration of Figure 5 and Figure 6, the airflow velocity in each small duct (cell) was fixed in a manner to obtain a given standard deviation of the airflow non-uniformity upstream of the HX. This standard deviation is a representation of the non-uniformity in velocity distribution and is the main parameter that influences the thermal performance of the HX (see below). Configurations of Figure 5 and Figure 6 allowed finally obtaining for each mean air velocity six different airflow velocity distributions: each one characterized by a given standard deviation. The standard deviation is calculated using the following equation:
σ = i = 1 N ( V i V m ) 2 N
where N is the number of cells (small ducts/fans), V i is the airflow velocity in the cell i , and V m is the mean airflow velocity.
Figure 7 shows the evolution of the HX thermal performance and non-dimensional HX thermal performance at different water flow rates as a function of the standard deviation of upstream airflow velocity distribution of a mean value of 2 m·s−1.
It can be observed that upstream airflow velocity non-uniformity causes a deterioration in the HX thermal performance. For instance, with the water flowrate fixed at 200 L·h−1, varying the standard deviation in an increasing manner from 0 to 2 m·s−1 leads to a decrease from 3.78 to 2.75 kW, which is a 27% decrease in comparison to the case of uniform airflow velocity distribution. These orders of magnitude are close to the ones achieved numerically by Khaled et al. [22]. For 400 and 600 L·h−1, the HX performance deteriorates from 7.56 to 5.65 kW and from 10.99 to 8.26 kW, respectively.
Similar trends are observed for a mean velocity of 3 m·s−1.
Figure 7b shows the normalized heat exchanger performance (with respect to Q ˙ 0 , the performance for the case of a completely uniform flow, i.e., a standard deviation σ = 0 m/s) as a function of the standard deviation that is also normalized with the mean airflow velocity (Vm = 2 m/s). It is obvious that the curves are very close and a linear generalization can be obtained, which is:
Q ˙ Q ˙ 0 = 0.2848 ( σ V m ) + 1.00104  
Table 2 lists a comparison of the results obtained in this study against data in the literature from Khaled et al. [22], particularly the reduction in the water temperature and the HX performance deterioration (in relation to a fully uniform flow case, i.e., standard deviation of 0 m/s), in the case of a mean airflow velocity of 2 m/s. The table shows a good agreement of the results of this study with data reported in the literature.

5. Discussion

As portrayed by the above results, it appears evident that with a more uniformly distributed airflow velocity, the heat exchanger performance evolves and is superior to cases of high degree of non-uniformity. In the context of a vehicle cooling module, which is the motivation behind this study, achieving a uniform flow of air upstream the cooling module provides several advantages, i.e., as the performance of the heat exchanger is enhanced, less power is consumed for cooling purposes. To be precise, pump and compressor power requirements are reduced; this in turn reduces fuel consumption and consequently pollutant emissions.
Nevertheless, obtaining a uniform airflow upstream the vehicle’s cooling module is not a simple task. As mentioned previously, a vehicle’s exchanger is almost always subjected to maldistributed airflow velocity profile. Therefore, the challenge would be to increase the degree of uniformity of the upstream airflow. Several control methods for this purpose could be feasible, but surely, several constraints might stand in the way; space constraints in a car underhood are an obvious example here. Moreover, any control methodology as applied to a vehicle cooling module would face numerous disturbances that are hard to predict and avoid. A suggestion which is under investigation by the authors is using a diffuser ahead of the first exchanger in the cooling module or perhaps a nozzle–diffuser setup. This is thought to be beneficial in enhancing the degree of uniformity of the upstream airflow velocity profile.

6. Conclusions

This paper presented an experimental investigation on the impact of a maldistributed velocity profile of the airflow on the thermal performance of a fin-and-tube HX. An experimental testing setup was built; it consists of a thermal part, which provides the hot water circulating in the tube, and an aerodynamic part, which allows obtaining the desired degree and configuration of velocity non-uniformity of the airflow. The aim is to observe the HX performance under different airflow velocity non-uniformity schemes. The setup is designed so as to imitate the case of a car underhood radiator which is always performing under a non-uniform upstream airflow velocity profile. It allows testing for various degrees of non-uniformity; the degree of non-uniformity is represented as the standard deviation of the airflow velocity distribution profile over the HX surface. For a profile of a particular mean velocity Vm, the lowest degree of non-uniformity (completely uniform airflow velocity distribution) is represented by a standard deviation of zero, while the highest degree of non-uniformity is conveyed by a standard deviation equal to the value of Vm.
It was proven that the heat exchanger’s thermal performance is deteriorated under airflow velocity non-uniformity. For example, for a 2 m·s−1 mean air velocity and 200 L·h−1 water flowrate, increasing the standard deviation of air velocity distribution from 0 to 2 m·s−1 causes a decrease in the exchanger performance from 3.78 to 2.75 kW, which is a 27% decrease in comparison to the case of a uniformly distributed airflow velocity profile. This can also be illustrated in the increase in the outlet water temperature, which moved from 53.8 °C (in the case of a uniform flow) to 58.2 °C (for the case of the most severely maldistributed profile). Those trends are in agreement with the numerical results observed in the literature.

Author Contributions

Conceptualization, M.K.; Data curation, M.M.; Formal analysis, M.K., M.M., J.F., K.C., T.L. and H.S.R.; Investigation, M.K., M.M., J.F., K.C., T.L. and H.S.R.; Methodology, M.K. and M.M.; Project administration, M.K.; Supervision, M.K.; Validation, M.M.; Writing—original draft, M.M.; Writing—review & editing, M.K., J.F., K.C., T.L. and H.S.R. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Data Availability Statement

The data presented in this study are available in this article.

Conflicts of Interest

The authors declare no conflict of interest.

Nomenclature

aconstant
Asurface area (m2)
bconstant
C p heat capacity (J kg−1 K−1)
ETDextreme temperature difference (°C)
HXheat exchanger
mnumber of column of heat exchanger matrix
m ˙ flow rate (kg s−1)
nnumber of rows of heat exchanger matrix
Nnumber of cells of heat exchanger matrix
Qwater flowrate (L h−1)
Q ˙ heat exchanger thermal performance (kW)
Q ˙ 0 heat exchanger performance for a uniform airflow (kW)
Ttemperature (°C)
Uoverall heat transfer coefficient (W m−2 K−1)
Vairflow velocity (m/s)
σ standard deviation of velocity distribution (m/s)
Subscripts
airair
cellcell
fluidfluid
ininlet
mmean
outoutlet
wwater

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Figure 1. Schematic of HX representation in numerical modeling.
Figure 1. Schematic of HX representation in numerical modeling.
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Figure 2. Schematic of the thermal part.
Figure 2. Schematic of the thermal part.
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Figure 3. Schematic of the aerodynamic part.
Figure 3. Schematic of the aerodynamic part.
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Figure 4. Illustration of the complete experimental setup.
Figure 4. Illustration of the complete experimental setup.
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Figure 5. Velocity non-uniformity configurations for a mean air velocity of 2 m·s−1.
Figure 5. Velocity non-uniformity configurations for a mean air velocity of 2 m·s−1.
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Figure 6. Velocity non-uniformity configurations for a mean air velocity of 3 m·s−1.
Figure 6. Velocity non-uniformity configurations for a mean air velocity of 3 m·s−1.
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Figure 7. Evolution (for the tested water flow rates) of (a) water outlet temperature and (b) HX thermal performance versus the standard deviation of the distribution of airflow velocity for a mean air velocity of 2 m·s−1.
Figure 7. Evolution (for the tested water flow rates) of (a) water outlet temperature and (b) HX thermal performance versus the standard deviation of the distribution of airflow velocity for a mean air velocity of 2 m·s−1.
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Table 1. Components of the thermal part.
Table 1. Components of the thermal part.
ComponentDescription
Water tankA 100 L capacity tank that supplies water to the heater. A gate valve is incorporated
Electric heaterA 100 L capacity heater, responsible for heating the water to the desired temperature. Equipped with valves for the control of the flow rate. (Figure 2)
Hot water pumpCharacterized with a 10 m maximum head, 18 L·min−1 volume flow rate and 2900 rpm. Responsible for circulating the hot water in the heat exchanger. (Figure 2)
RadiatorHX surface of 70 × 55 cm2, with temperature sensors at the inlet and outlet. (Figure 2)
Table 2. Comparison of study results with the literature [22], for the case of mean airflow velocity of 2 m/s.
Table 2. Comparison of study results with the literature [22], for the case of mean airflow velocity of 2 m/s.
Water Temperature Reduction% HX Performance Deterioration% (Relative to Stdev = 0 m/s Case)
Standard Deviation (m/s)Study ResultsLiterature [22]Study ResultsLiterature [22]
09.248.700
0.57.096.99.358.6
16.175.2214.0213.33
1.53.833.8920.5621.9
22.52.925.2426.8
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MDPI and ACS Style

Khaled, M.; Mortada, M.; Faraj, J.; Chahine, K.; Lemenand, T.; Ramadan, H.S. Effect of Airflow Non-Uniformities on the Thermal Performance of Water–Air Heat Exchangers—Experimental Study and Analysis. Energies 2022, 15, 8120. https://doi.org/10.3390/en15218120

AMA Style

Khaled M, Mortada M, Faraj J, Chahine K, Lemenand T, Ramadan HS. Effect of Airflow Non-Uniformities on the Thermal Performance of Water–Air Heat Exchangers—Experimental Study and Analysis. Energies. 2022; 15(21):8120. https://doi.org/10.3390/en15218120

Chicago/Turabian Style

Khaled, Mahmoud, Mostafa Mortada, Jalal Faraj, Khaled Chahine, Thierry Lemenand, and Haitham S. Ramadan. 2022. "Effect of Airflow Non-Uniformities on the Thermal Performance of Water–Air Heat Exchangers—Experimental Study and Analysis" Energies 15, no. 21: 8120. https://doi.org/10.3390/en15218120

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