Yingshu Liu1, Jiaxin Liu1, Ziyi Li1, Ningqi Sun1, Xiong Yang1, Huanyu Hou2, Wenhai Liu1, Chunyu Zhao1, Ralph T Yang3. 1. School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China. 2. Group Strategy Research Institute, HBIS, Shijiazhuang 050023, China. 3. Department of Chemical Engineering, University of Michigan, Ann Arbor, Michigan 48109-2136, United States.
Abstract
Pure nitrogen dioxide (NO2) has significant economic value and is widely used in many fields, for which condensation technology plays an important role in separation and purification. However, developing cost-effective NO2 condensers remains challenging due to the lack of precise theoretical guidelines and comprehensive understanding of NO2 condensation process. In this work, NO2 condensation at various inlet surface subcoolings, mole fractions of noncondensable gas (NCG), and Re numbers was studied with a visualization experimental system. The influential rules of each parameter on heat transfer coefficients (HTCs) and the NO2 condensate state as the coexistence of droplet, streamlet and film were revealed. A substantial underestimation of experimental data by the classical heat and mass transfer analogy (HMTA) model was quantified. The large discrepancy was found to originate from the uniqueness in heat transfer, mass transfer, and condensate state caused by NO2 dimerization during condensation. A modified HMTA model was developed considering the release heat of dimerization reaction and the promotion of mass transfer by an increased NO2 concentration gradient within the diffusion layer which contribute to improvements of HTCs by ∼6 and ∼49%, respectively. The correction of liquid film roughness regarding potential heterogeneity of dimerization was proposed as a function of the key parameters, contributing to the improvement of HTCs by ∼150%. An accurate theoretical formula for HTCs prediction within an error of ±25% was finally derived, providing the key step for success in practical applications.
Pure nitrogen dioxide (NO2) has significant economic value and is widely used in many fields, for which condensation technology plays an important role in separation and purification. However, developing cost-effective NO2 condensers remains challenging due to the lack of precise theoretical guidelines and comprehensive understanding of NO2 condensation process. In this work, NO2 condensation at various inlet surface subcoolings, mole fractions of noncondensable gas (NCG), and Re numbers was studied with a visualization experimental system. The influential rules of each parameter on heat transfer coefficients (HTCs) and the NO2 condensate state as the coexistence of droplet, streamlet and film were revealed. A substantial underestimation of experimental data by the classical heat and mass transfer analogy (HMTA) model was quantified. The large discrepancy was found to originate from the uniqueness in heat transfer, mass transfer, and condensate state caused by NO2 dimerization during condensation. A modified HMTA model was developed considering the release heat of dimerization reaction and the promotion of mass transfer by an increased NO2 concentration gradient within the diffusion layer which contribute to improvements of HTCs by ∼6 and ∼49%, respectively. The correction of liquid film roughness regarding potential heterogeneity of dimerization was proposed as a function of the key parameters, contributing to the improvement of HTCs by ∼150%. An accurate theoretical formula for HTCs prediction within an error of ±25% was finally derived, providing the key step for success in practical applications.
Nitrogen dioxide (NO2) is a valuable chemical in many
fields, which has extensively been used as a multifunctional reagent
(nitration agent, nitrosation agent and oxidant), a rocket propellant[1,2] and important ingredients of nitric acid and dimethyl sulfoxide.
The high-purity NO2 liquid product has a market price of
∼6000 U.S. dollars/ton in China. The ways of acquiring high-purity
NO2 involve separating NO2 from products of
ammonia catalytic oxidation as the conventional production process[3] and recycling NO2 from rocket-launching
exhaust gases[4] and industrial flue gases.[5,6]NO2 with a standard boiling point of 294 K can
be upgraded
and liquefied with high purity and recovery under mild operation conditions,
based on which the condensation technology plays an important role
in NO2 separation, purification, and storage in each NO2 acquisition process. Zhang et al.[7] demonstrated the condensation process of recycling NO2 from the rocket-launching exhaust gas, achieving a NO2 purity of 99.6% and a recovery of 95.6% under the conditions of
0.12 MPa and 263.15 K. Liu et al.[8] proposed
a condensation–distillation process capable of recycling NO2 from iron-ore sintering flue gas and obtained high-purity
(>99.5%) NO2 liquid at 0.1 MPa and 263.95 K. Although
the
NO2 condensation technology has been applied in industry,
there remain significant problems such as high investment, operation
cost, and safety hazards due to the bulky condenser, equipment corrosion,
and high condensation pressure, respectively. Therefore, it is a long-sought-after
goal to improve the energy efficiency of NO2 condensation
to reduce the size of the condenser and the operation complexity.
To meet this goal, precise theoretical guidance is necessary[9,10] for condenser design and optimization, for which effects of processing
parameters on NO2 heat and mass transfer during the condensation
merit investigations from the following three perspectives. First,
coexisting noncondensable gases (NCG including N2, O2, etc.) impair NO2 condensation efficiency, for
which studies on water vapor condensation have shown that a 0.5% volume
fraction of air can reduce the heat transfer coefficient (HTC) by
50%.[11,12] Second, the conversion of NO2 to N2O4 is favored at lower temperatures via
the exothermic dimerization reaction, which may lead to changes in
the NO2 gaseous concentration and bulk gas temperature.[13,14] Third, the effect of the condensate film roughness on heat and mass
transfer within the diffusion layer (gaseous region between the bulk
and the film)[15,16] could not be ignored,[17,18] particularly as the NO2 dimerization is involved.Previous studies on gas condensation in the presence of NCG and
the effects of liquid film roughness were mainly focused on water
vapor. In terms of the effect of NCG, Peterson et al.[15] developed a diffusion layer model and accurately predicted
the experimental condensation Nusselt (Nu) number
in the presence of NCG with a minimum standard deviation of 4.7%.
Dehbi et al.[19] developed a heat and mass
transfer analogy (HMTA) model, showing that the increase of NCG from
5 to 10% suppressed heat transfer in water vapor condensation (inlet Nu from 500 to 425). Ge et al.[20] experimentally studied the effects of NCG (CO2) at a
wide concentration range on water vapor condensation, showing that
the increase of the CO2 mass fraction from 23.3 to 84.0%
resulted in the decrease of HTC from 5.5 to 1 kW·m–2·K–1. In terms of the effect of film roughness,
a degradation factor defined as the ratio of experimental HTC to theoretical
HTC has been commonly employed to correct the error caused by interfacial
shear stress while using the conventional models. Lee and Kim[21] showed a satisfactory prediction accuracy with
a standard deviation of 19.5–25.8%, by correcting the laminar
film model with the degradation factor. Kuhn et al.[22] improved Nusselt film model prediction with the relative
standard deviation of 17.6% for HTC by adopting a degradation factor
and addressed the heat transfer enhancement due to interfacial shear
and surface waviness. Ren et al.[23] used
the HMTA model in consideration of film roughness and found that the
increase of the inlet mixture mass flux (from 55 to 165 kg·m–2·s–1) increased the heat flux
by 110%, indicating the positive effect of film roughness on heat
transfer. In terms of gas vapor condensation in consideration of dimerization
reaction, Gribkova[13] found that the prediction
quantity of condensed N2O4 with the model considering
the dimerization reaction was 1.24–1.12 times higher than that
without dimerization. Mikhalevich[14] found
that NO2 dimerization chemical reactions promoted gas saturation
temperature and the heat transfer rate. To sum up, the combined effects
of NCG, liquid film roughness, and dimerization reaction on NO2 condensation were rarely studied, which may largely be associated
with the difficulties in measuring NO2 condensation variables
regarding the narrow condensation temperature range (from a freezing
point of 262.15 K to a boiling point of 294.15 K) and the highly corrosive
experiments.In this study, a NO2 condensation experiment
apparatus
coupled with a sophisticated methodology was set up. The HMTA model
in consideration of NO2 dimerization was developed. With
the aim of guiding practical application, NO2 condensation
at various surface subcoolings, NCG mole fractions, and the inlet
mixture Reynolds number (Re) was systematically investigated
through a series of condensation tests. The influential rules of each
processing parameter on HTCs and the coexistence of droplet, streamlet,
and film as the stabilized NO2 condensate state were revealed.
The key roles of the NO2 dimerization reaction and the
film roughness in condensation were revealed and explored by comparing
experimental data and model-predicted results. The friction factor
(fr) correlated with the condensate flow
rate as a function of Re, inlet surface subcooling,
and NCG mole fraction was proposed to gain deeper insights into NO2 condensation and improve the model prediction accuracy for
practical use.
Experimental Method
Experimental System
The NO2–air condensation
experimental system consisted of a gas supply
system, a gas flow rate control system, a refrigerant circulation
system, a data acquisition system, and a test section, as shown in Figure a. In current work,
the gas supply system used only air as NCG, which is close to the
real situation that the concentrations of other NCGs such as NO are
much lower as compared with air. The inlet air provided by the air
compressor passed through the reducing valve capable of stabilizing
the pressure and then entered the dehydration column. The NO2 (purity > 99.9%) was supplied by the gas cylinder, whose pressure
was controlled by a reducing valve at the outlet of the tank. The
gas flow rates of air and NO2 were controlled by rotameters.
The two gases were fully mixed in the mixing tank where a constant
temperature of 303.15 K was achieved by heating tape to prevent NO2 condensation. The gas mixture was then fed into the test
section for condensation, and the NO2 condensate can be
collected using a measuring cylinder.
Figure 1
Schematics of (a) condensation experimental
system and (b) test
section.
Schematics of (a) condensation experimental
system and (b) test
section.The test section made from 316
stainless steel was the core part
of the experimental system. The structure of the test section is shown
in Figure b, with
detailed information listed in Table . Three T-type patch thermocouples were set for measuring
the wall temperature. Another three T-type thermocouples for measuring
the bulk mixture temperature were set above the corresponding wall
temperature measuring point. In addition, two T-type thermocouples
were set in the gas inlet and outlet pipes to measure the temperature
of the mixture gas. All thermocouples were connected to an Agilent
data collector. Transparent glass sheets were glued around the wall
to ensure that the device was sealed. Two high-definition cameras
were placed on the front and side of the test section to photograph
the condensate. Through this kind of visual design, it was able to
ensure that there was no frozen NO2 during the experiment
and the data can be measured accurately. A medium tank filled with
a coolant was connected directly behind the wall and was covered with
insulation material to prevent energy loss. The coolant driven by
a centrifugal pump consisted of ethylene glycol and water, circulating
between the cooling medium tank and the refrigerator, and providing
cold energy to the test section.
Table 1
Detailed information
of the Test Section
items
details
length
of the rectangular channel
0.030 m
width of the rectangular channel
0.015 m
length of the vertical wall
0.075 m
width of the vertical wall
0.030 m
thickness
of the vertical wall
0.0008 m
distance between thermocouples on the wall
0.025 m
distance between the bulk mixture temperature measuring point
and the wall
0.0075 m
Data Reduction
According to the law
of conservation of energy, the total heat flow rate between the bulk
mixture and the wall originating from the sensible heat , the
latent heat , and the chemical heat from
a potential dimerization reaction
can be expressed aswhere was calculated
by the temperature measured
from the inlet and outlet pipes and was calculated by the amount of the condensate
and the corresponding time difference in a steady state. The calculation
method of was as
follows. According to the chemical
equation of NO2 and N2O4, the reaction
constant[24] can be determined fromwhere pNO and pN are the partial pressures of NO2 and N2O4, respectively. The relationship between the mole fraction
of NO2 and Kp at reaction equilibrium
is written asAs shown in eq , only Kp of the
reaction
is required for calculating the mole fraction of NO2 at
a constant total pressure P. Chao et al.[25] concluded the correlation between Kp and temperature asAccording to the relation of chemical
reaction
coefficients (as described in the Section S3 of the Supporting Information), the chemical heat flow rate from
the initial state (with pure NO2) to the equilibrium of
the reaction isThe reaction heat from equilibrium
state A
to equilibrium state B can be calculated by the difference between
the heat released from the initial state to two states. Figure shows the material flow and
energy flow of NO2 above the wall. Thinking of the test
section as one node in Figure , the dimerization process in the condenser can be classified
into dimerization of gaseous NO2 that is not condensed
flowing from the inlet to the outlet and the dimerization of gaseous
NO2 that would be condensed from the bulk gas to the wall.
Figure 2
Material
flow and energy flow of condensation with the dimerization
reaction.
Material
flow and energy flow of condensation with the dimerization
reaction.The mass flow rate of NO2 involved in both dimerization
processes can, respectively, be expressed aswhere q is the mass flow rate of NO2 at
the gas outlet pipe. ρNO is the density
of liquid NO2, VNO is the volume of liquid NO2 collected in a steady state,
and t is the collection time. The inlet and outlet
temperatures were selected as the NO2 saturation temperatures
of the equilibrium states at the inlet and the outlet. The average
temperatures of the wall and the bulk mixture (eqs and 10) were selected
as the NO2 saturation temperatures of the equilibrium states
at centroid points of the wall and the gas flow channel, respectively.Based
on eq , the chemical
heat flow rate is expressed asThe average HTC of the test
section is calculated from
Theoretical Model
Classical and modified HMTA condensation
models were built in this
work. The classical model referred to the conventional diffusion layer
model[16,19,21,23] in predicting water vapor condensation, where the
total HTC consists of liquid film HTC, sensible HTC, and latent HTC,
in terms of the effects of NCG on condensation. The modified model
was developed considering the dimerization of NO2 in the
diffusion layer on the basis of the classical model. Similar to the
correction of enhanced heat transfer due to film roughness in previous
studies,[21,22] a degradation factor was introduced to correct
the underestimation of experimental HTC. Through the comparisons of
two models with experimental data, the effects of dimerization reaction
and the film roughness on heat and mass transfer would be demonstrated,
for the purpose of accurate prediction of practical NO2 condensation. The detailed derivations for the models were described
as follows.
Classical HMTA Model
The classical
HMTA model, based on the diffusion layer theory,[15] suggests that condensable gas condenses to form a liquid
film with the thickness of δ, and NCG that cannot pass through
the film but only accumulates on the film surface forms a stable diffusion
layer of mixed gas outside the liquid film. According to the conservation
of energy, the heat transfer through the gas diffusion layer is equal
to that through the condensate film. Therefore, both the latent heat
(the heat flux is qcd) of the condensed
vapor and the sensible heat (the heat flux is qs) of the mixed gas first pass through the diffusion layer
and then through the film. The equivalent thermal resistance diagram
is shown in Figure a.
Figure 3
Equivalent thermal resistance diagrams of (a) classical HMTA model
and (b) modified HMTA model.
Equivalent thermal resistance diagrams of (a) classical HMTA model
and (b) modified HMTA model.The heat balance can be expressed aswhere hf is the
liquid film HTC and hs is the sensible
HTC. The latent HTC can be defined asThe total HTC can be defined
asSince the temperatures in eq are the initial values, to calculate
the total HTC, the interface temperature should be assumed at first
and then calculated hf, hc, and hs. Finally, the steady-state
values of all parameters are iteratively calculated.The suggestion
of Nusselt is adopted for hf, and is given
byThe theory of diffusion layer is adopted for hc (Sections S4 and S5 of the Supporting Information show more details), and is calculated
byThe total
length of the test section is too
short (0.075 m) to allow the gas to reach the fully developed stage.
The Haji-Sheikh’s[26] correlation
of forced convection at the entrance of vertical plate is adopted
to calculate Shwhere x̂ =
(x/a)/Pe, a is half of the flow channel thickness and a = 0.0075
m in this model. Pe is the Peclet number, which is
defined as Pe = ReSc for mass transfer.The hs in the diffusion layer is also
calculated by Haji-Sheikh’s correlationFor the heat transfer process, Pe is defined as Pe = RePr.The suction effect can thin the diffusion layer of the mixed
gas,
leading to enhancement of the heat and mass transfer.[27] A correction factor has been introduced to correct the
enhancement caused by the suction effectwhere mass transfer
blowing parameter Bm and heat transfer
blowing parameter Bh are defined as
Modified
HMTA Model
The modified
HMTA model was modified from two aspects of chemical heat and the
change of physical properties. During the diffusion of NO2 toward the lower temperature film surface, two NO2 molecules
dimerize to form one N2O4, releasing reaction
heat energy and reducing the concentration of condensable components
in the diffusion layer. Based on the above process, the modified HMTA
model is established as follows.The total heat flux is composed
of qcd, qs, and the chemical heat flux qr. Based
on the sketch of the modeled systems shown in Figure , the equivalent thermal resistance diagram
of the modified model is shown in Figure b. The heat balance between the diffusion
layer and the film is expressed asThe modification
method of chemical heat in
the model is similar to that in Section . A one-dimensional mesh is built for the
vertical wall along the direction of gas flow, as shown in Figure . The dimerization
reaction is assumed in two directions: direction 1 corresponding to
condensed NO2 and N2O4 is perpendicular
to the wall, and direction 2 corresponding to uncondensed NO2 and N2O4 is parallel to the wall. The temperature
of the gas–liquid interface approximately equals the wall temperature,
thus we ignore the reaction in the liquid film and consider that the
reaction of direction 1 mainly occurs in the diffusion layer. Accordingly,
the dimerization in direction 1 is caused by the temperature difference
between the bulk gas and the interface, releasing heat flux qr,. The dimerization reaction
in direction 2 is caused by the gas temperature difference between
node n and node n+1, releasing heat
flux qr,. The qr, and qr, can be calculated fromBoth parts of the heat exchange caused
by
the dimerization reaction occur at the current node, so the total
reaction heat flux of the node n is the sum of the
twoAt the steady state of test section’s
temperature field and dimerization, parameters of all gases can be
calculated from temperature, pressure, and mole fraction. The total
HTC of the node can be calculated by eqs ,24 and 27.
Film Roughness Correction
In conventional
investigations on water condensation, the uneven condensate surface
can inevitably be formed due to the wavy surface caused by a turbulent
flow regime, resulting in the film roughness that depends on Re, and needs to be considered into the theoretical model
for accurate prediction. For the NO2 condensation in this
work, the film roughness for the NO2 condensate may also
exist even at a laminar flow, as will be shown in Section , due to the potential inhomogeneity
of condensation in terms of the specialty of NO2 dimerization
exothermic process that highly depends on temperature (ΔT) and the NCG mole fraction (wnc). Therefore, the correlation of film roughness ought to be conducted.The classical film roughness correction method for water vapor
condensation is as follows[23]The correction for the film roughness fc is given aswhere fs = 16.2/Re, n = Pr0.36 for correcting Nu′, and n = Sc0.36 for correcting Sh′.The friction factor fr is a degradation
factor, the ratio of experimental HTC to the original predicted HTC,
which can be used to improve the accuracy of water–NCG condensation
model prediction.[21,22] The fr for film roughness of water is as followsAlthough the classical friction factor fr without consideration of dimerization may
not be applicable to NO2 condensation, the relationships
between the variables above can be adopted to get degradation factor fr for NO2. In this work, fr is assumed to be related not only to Re, indicative of fluid mechanical properties, but also
to ΔT and wnc,
indicative of NO2 dimerization properties. The friction
factor follows the function as f = f(Re, wnc, ΔT), and the detailed relationships
among the parameters are derived and validated in Section .
Results and Discussion
Effects of Various Parameters
on Average HTC
Effects of Surface Subcooling
on HTC
Figure shows the
dependence of average HTC on surface subcooling at a 500 mL·min–1 inlet mixture volume flow and NCG concentrations
of 50, 60, and 70%, respectively. In the range of surface subcooling
(6–20 K), the average HTC decreases with increasing surface
subcooling. For the lower NCG mole fraction, the decreasing trend
is sharper: an increase in the surface subcooling by 20 K causes HTC
to drop by about 200 W·m–2·K–1.
Figure 4
Effect of surface subcooling on the average HTC.
Effect of surface subcooling on the average HTC.According to Figure b, total HTC is composed of hf, hc, and hs and the
equivalent HTC of chemical heat. Generally, hf and hc involving latent heat
as the major contribution to total heat transfer dominate the value
of HTC.[16] For hf, the increase in surface subcooling promotes NO2 condensation
and thus increases the thickness of the liquid film, leading to the
decrease of hf. For hc, the main thermal resistance that deteriorates the condensation
heat transfer is in the diffusion layer.[20] The higher NO2 condensation rate with the increased surface
subcooling promotes the accumulation of NCG at the gas–liquid
interface, thus increasing the mass transfer resistance according
to the diffusion layer theory,[15] and resulting
in the decrease of hc. The sharper decreasing
trend of HTC versus surface subcooling at a lower NCG mole fraction
is associated with more significant inhibition of heat and mass transfer
caused by a greater increase in the NCG accumulation.
Effect of the NCG Concentration on HTC
Figure shows the
effects of the NCG mole fraction on average HTC when the surface subcooling
is 13 K, and the inlet flow rates of the mixture are 250, 500, and
700 mL·min–1, respectively. The average HTC
decreased exponentially with the inlet NCG mole fraction, and there
are no significant differences in decreasing trends under different
flow rates.
Figure 5
Effect of the NCG mole fraction on the average HTC.
Effect of the NCG mole fraction on the average HTC.The negative effect of NCG on NO2 condensation
heat
transfer can be explained as follows. With the continuous condensation
of NO2, the air gathered on the film surface and formed
the diffusion layer.[28,29] Vapor molecules can only reach
the film surface by diffusion. The increase in the inlet air mole
fraction increases the concentration of NCG in the diffusion layer,
suppressing the mass transfer process. Moreover, NO2 saturation
temperature decreases with increasing NCG partial pressure, which
also has a negative effect on condensation.
Effect
of Re on HTC
Figure shows the
variation of HTC with inlet Re at a constant pressure
when the concentration of NCG is 40, 50, and 60%, respectively. It
can be seen from the figure that the HTC increases with inlet Re, and the dependence of HTC on Re is
almost linear in the entire range.
Figure 6
Effect of Re on the average HTC.
Effect of Re on the average HTC.The positive effect of Re on NO2 condensation
heat transfer can be explained as follows. With other parameters constant,
the increase of Re accompanied by the increase of
the inlet volume flow rate means that more condensable gas (NO2 and/or N2O4) flows into the test section.
With a sufficient supply of cold energy, the heat released from the
phase change of the condensable gas increases the heat transfer flow
rate and HTC. In terms of the heat and mass transfer, hc and hf are the major contributors
to HTC and both increase with Re. In the aspect of hc, the increase of Re reduces
the thickness of the boundary layer and promotes the diffusion rate
of NO2 toward the liquid film. In the aspect of hf, the increase of Re results
in a more significant shear force between the gas and the film and
perturbs the liquid film,[18,30] making the film thin
and reducing the heat transfer resistance of the liquid film.
Effect of Dimerization on Heat Transfer
Figure a,b compares
the results of HTC varying with the NCG mole fraction and Re from experiments, model predictions from classical and
modified HMTA models. As can be seen from the figures, the HTC resulted
from the modified HMTA model is closer to the experimental data as
compared to that from the classical model. These results indicate
the positive effect of NO2 dimerization on heat transfer.
As shown in Figure a, with the increase in the NCG mole fraction from 0.4 to 0.8, the
HTC calculated by the modified HMTA model is decreased by 61.4%, from
202.2 to 78.0 W·m–2·K–1, whereas the HTC calculated by the classical model is decreased
by 47.3%. Obviously, the influence of NCG is more distinct in the
former case, and the difference in calculated HTCs between two models
(ΔHTC) decreases exponentially with the inlet NCG mole fraction.
The reason for this trend could be explained by the fact that the
increase in the inlet NCG mole fraction causes less NO2/N2O4 flow over the wall, leading to the decrease
in NO2 molecules involved in the dimerization. However,
the proportion of NO2 in condensable components increases
exponentially with the decrease of the partial pressure of the condensable
NO2/N2O4 mixture (as described in Section S6 of the Supporting Information). This
mechanism can to some extent impede the decrease of dimerization caused
by the increase of NCG.
Figure 7
Variation of experimental and theoretical HTCs
with (a) NCG mole
fraction and (b) Re.
Variation of experimental and theoretical HTCs
with (a) NCG mole
fraction and (b) Re.As shown in Figure b, with the increase of Re from 100 to 300, the
HTCs from the modified HMTA model increase at a higher rate (by up
to 160.4%) as compared with those from the classical model (127.9%).
Meanwhile, the ΔHTC shows an increasing trend with the increase
of Re. This might be associated with the reduced
temperature of the thinned boundary layer at increased Re.[31] The lower temperature facilitates
the NO2 dimerization that further promotes the heat transfer.Figure shows the
contributors (latent heat, sensible heat, chemical heat) to the NO2 condensation heat flow rate predicted by the modified model,
and the HTCs predicted by modified and classical models and their
differences (ΔHTC) at varying inlet flow rates. Under the inlet
surface subcooling of 20 K and the NCG mole fraction of 50%, the total
heat flow rate increases from 6.41 to 9.32 J·s–1, as the inlet flow rate increases from 450 to 750 mL·min–1. The latent heat of condensation is found to be the
majority (∼86%) of the total heat flow, while the dimerization
chemical heat and the sensible heat merely account for ∼6 and
∼8%, respectively. In contrast to the slight effect of dimerization
on the heat flow rate, HTC was greatly influenced by dimerization,
as evidenced by the relative increase in HTC from the classical model
prediction to the modified counterpart (ΔHTC/HTCclassical model = 50.95–53.95%).
Figure 8
Effect of dimerization on the heat flow rate
and HTC.
Effect of dimerization on the heat flow rate
and HTC.It can be clearly found that the
relative increase in HTC due to
dimerization is much greater than that in the dimerization chemical
reaction heat, indicating underlying influences of NO2 dimerization
on condensation heat transfer as compared to the direct influence
caused by the reaction heat. Considering the process that NO2 molecules diffuse to the wall and dimerize to N2O4, the first underlying influence of NO2 dimerization
might be associated with more gaseous NO2 driven to the
film by a greater concentration gradient of NO2 between
the bulk mixture and the interface due to a reduced number of NO2 molecules at the interface. As a result, NO2 condensation
and the release of latent and chemical heat would be promoted. In
addition, the reduction in NO2 partial pressure leads to
a decrease in the temperature of the bulk mixture, which is assumed
to be equal to the saturation temperature of gaseous NO2. According to Newton’s cooling law (eq ), an increased heat flow and a reduced temperature
difference between the bulk and the surface synergistically increase
HTC. Note that the average surface subcooling was different at different
inlet flow rates though the inlet surface subcooling was kept constant.
As a result, the increase in HTC is much greater than the increase
in the total heat flow, as shown in Figure .It can be inferred that the influence
of dimerization on condensation
ought to involve several aspects. In addition to the above heat release
or mass transfer effect, the dimerization would also cause other indirect
effects from the perspective of a fluid mechanism, as indicated by
the remarkable discrepancy between experimental and modified HMTA
model results. For instance, as mentioned in Section , the film roughness for the NO2 condensate may also exist due to the potential inhomogeneity of
NO2 dimerization, which will be discussed in the following
section.
Liquid Film Roughness Correction
Figure shows the
images of the liquid film taken at 2, 7, and 15 min during the condensation
under a volume flow rate of 650 mL·min–1, an
air mole fraction of 70%, and a surface subcooling of 17 K. At different
times in the condensation, the mixture of the film, droplets, and
streamlets as marked in the figure can be constantly observed, directly
leading to the liquid film roughness that differs from the traditional
smooth film. On the basis of the above relationship between dimerization
and HTC, it is reasonable to speculate that the inhomogeneity of NO2 dimerization due to an uneven component concentration and
temperature profiles in the condensation region is one of the reasons
for uneven heat transfer distribution over the wall surface. The resultant
heterogeneity of heat transfer contributes to varying existence of
the condensate and thus the film roughness, which could be likely
the reason for the values of experimental HTCs that are greatly underestimated
by the theoretical model (Figure ). On the one hand, the surfaces of droplets and streamlets
exposed to the gas flow can increase the heat transfer area between
the liquid film and the diffusion layer. On the other hand, with the
condensate flowing downward, the surface morphology of the film changes
constantly, causing disturbance to the gas diffusion layer.
Figure 9
Condensate
states (film, droplets, and streamlets marked by green,
blue, and white dashed lines, respectively) visualized at different
times during condensation.
Condensate
states (film, droplets, and streamlets marked by green,
blue, and white dashed lines, respectively) visualized at different
times during condensation.To address the degradation factor for film roughness correction
that follows fr = f(Re,wnc,ΔT) assumed in this work, the relationships of fr with Re, ΔT, and wnc can be established based on properties of
the liquid film. Apparently, the roughness of liquid film depends
on the proportion and distribution of the condensate film, streamlets,
and droplets. Nevertheless, it is not easy to quantify the specific
liquid amount and spatial distribution of each condensate state. The
liquid amounts of the three condensate states constitute the total
condensate amount that can be recorded in tests. Similarly to the
film roughness, the flow rate of the total condensate (q, calculated via eq ) varies with the status (proportion and distribution)
of three condensates present at a specific moment. Therefore, there
ought to be a certain correlation between liquid film roughness and q. Based on the experimental
data at a NO2–air mixture flow rate of 500 mL·min–1 and the relation of equations in Section , the curve of fr versus q can be depicted (Figure ) and fitted with an equation showing a good correlation (R2 = 0.81) asThe value of q representative of the macroscopic condensation
efficacy varies with HTC that has close relationships with surface
subcooling, Re, and NCG mole fraction, as shown in Sections and 4.2. Therefore, the variation of q with Re, ΔT, and wnc as independent variables,
can be fitted based on the experimental data at a NO2–air
mixture flow rate of 500 mL·min–1, as listed
in Table S3, rendering the correlation
asTherefore, q is introduced as a bridge between fr and Re, ΔT,
and wnc to derive friction factor fr = f(Re, wnc, ΔT) based on eqs and 33. Aiming to validate the accuracy of proposed fr, eq is replaced by eqs and 33, and the product of fc (eq ) and HTC calculated from the modified model are compared with the
experimental HTC. Note that the data used for verification, as shown
in Table , and those
for fitting eqs and 33 (500 mL·min–1) are independent.
The verification results are shown in Figure : the horizontal axis represents the HTC
calculated from the experimental data and the vertical axis represents
the product of fc and HTC calculated from
the modified model. All of the calculated values fall within ±25%
of the experimental HTC, indicating the accuracy of the film roughness-corrected
model prediction.
Figure 10
Experimental data and the fitting curve of fr versus q.
Table 2
Details of Experimental
Data Used
to Verify the Correlation between fr and Re, ΔT, and wnc
items
details
NCG
air
NCG mole fraction (%)
40, 50, 60, 70
inlet volume flow (mL·min–1)
250, 320, 650, 750
inlet Re number
60–360
surface subcooling (K)
8.4–20.5
pressure
0.1 MPa
Figure 11
Comparison of calculated HTC with experimental
HTC.
Experimental data and the fitting curve of fr versus q.Comparison of calculated HTC with experimental
HTC.In eq , the exponent
of each term reflects the effect of the corresponding variable on q, indicative of the condensation
rate. Both Re and surface subcooling are positively
correlated with q,
while the NCG mole fraction is negatively correlated with q. The degree of the variable
effect on q, indicated
by the absolute value of the exponent, follows the order ΔT > wnc > Re (0.95 > 0.49 > 0.3). Similarly, for film roughness correction
that
is described by the combination of eqs and 33 and Section , the order of the degree
of the variable effect follows Re > ΔT > wnc (0.8 > 0.5 >
0.25).
These results may indicate the mixed contributions from multiple factors
to the NO2 condensation heat transfer. The modified HMTA
model in consideration of NO2 dimerization and liquid film
roughness correction would provide the key step for success in practical
applications of NO2 condensation.
Conclusions
In this paper, the condensation HTC of NO2 was investigated
using an experimental apparatus with a visualization system. The rough
film of a NO2 condensate with the coexistence of droplet,
streamlet, and liquid film was observed. It was found that HTC increased
with the decreases in surface subcooling and NCG mole fraction, and
the increase in Re. There exist large discrepancies between experimental
and classical HMTA model prediction results. The reasons lie in the
effects of NO2 dimerization on condensation, including
the release of chemical reaction heat, the promotion of the mass transfer
by increasing the NO2 concentration gradient within the
diffusion layer, and the liquid film roughness related to the heterogeneity
of dimerization. A modified HMTA model considering changes in heat
and mass transfer due to NO2 dimerization was built. The
effect of liquid film roughness on condensation was further corrected,
improving the HTCs by 55 and 150%, respectively. In particular, the
relationship between the liquid film roughness and each key parameter
(inlet surface subcooling, NCG mole fraction, and Re) under NO2 dimerization was addressed using the flow rate of the total
condensate as an intermediary factor. Finally, an accurate prediction
model for NO2 condensation HTC in the presence of NCG within
an error of ±25% was obtained, providing the key step for success
in practical applications.
Authors: Yingshu Liu; Yang You; Ziyi Li; Xiong Yang; Xiaoyong Wu; Chunyu Zhao; Yi Xing; Ralph T Yang Journal: J Hazard Mater Date: 2020-10-27 Impact factor: 10.588