Prediction of Heat Transfer during Condensation of Ammonia Inside Tubes and Annuli
Abstract
:1. Introduction
2. Previous Work
2.1. Experimental Work
2.2. Methods for Predicting Heat Transfer
2.2.1. General Correlations for Horizontal and Vertical Downflow
2.2.2. General Correlations for Inclined Tubes
2.2.3. Correlations Specifically for Ammonia
3. Data Analysis
3.1. Oil-Free Ammonia Data
3.1.1. Horizontal and Vertical Downflow Data
3.1.2. Inclined Tubes
3.2. Ammonia with Oil
4. Discussion
4.1. Oil-Free Ammonia
4.2. Ammonia Containing Immiscible Oil
4.3. Ammonia with Miscible Oil
4.4. Recommendations for Design
- For ammonia containing miscible oil, heat transfer can be calculated using the same methods as for other fluids. As the amount of oil in normally operating systems is small, assumption of 5–10% reduction in the heat transfer coefficient due to oil is suggested.
- For ammonia containing immiscible oil, heat transfer coefficients calculated for pure ammonia should be reduced by 50 to 60 percent in a normally operating system. Poorly operating systems may have large amounts of oil, and then heat transfer coefficients could be even lower.
5. Conclusions
- The literature on the condensation of ammonia inside tubes and annuli was reviewed to identify the available data and reliable prediction methods.
- Test data for pure ammonia were compared to general correlations for condensation heat transfer. Satisfactory agreement was found. It was concluded that the heat transfer coefficient of pure ammonia can be calculated by reliable general correlations applicable to all fluids.
- The effect of oil on heat transfer was investigated. It was concluded that for ammonia containing miscible oil, its effect on heat transfer can be calculated by the same methods as for other fluids. For normally operating systems, a 5 to 10% reduction in heat transfer due to the effect of oil is recommended.
- For ammonia containing immiscible oil, heat transfer coefficients are much lower than those of pure ammonia due to the formation of insulating oil films on the tube surface. These usually reduce heat transfer coefficients by 50 to 60%.
Funding
Data Availability Statement
Conflicts of Interest
Nomenclature
AD | average deviation, (-) |
D | inside diameter of tube, m |
DHP | equivalent diameter = (4 X flow area)/(perimeter with heat transfer), m |
DHYD | hydraulic equivalent diameter = (4 X flow area)/(wetted perimeter), m |
G | total mass flux (liquid + vapor), kg m−2s−1 |
h | heat transfer coefficient, W m−2 K−1 |
hSAT | heat transfer coefficient of saturated vapor at x = 1, W m−2 K−1 |
hTP | two-phase heat transfer coefficient, W m−2 K−1 |
k | thermal conductivity, W m−1 K−1 |
MAD | mean absolute deviation, (-) |
N | number of data points, (-) |
pr | reduced pressure, (-) |
Pr | Prandtl number, (-) |
Re | Reynolds number = GDμ−1, (-) |
ReLT | Reynolds number of liquid = G DμL−1, (-) |
TSAT | saturation temperature, °C |
Tw | wall temperature, °C |
ΔT | =(TSAT − Tw), K |
U | overall heat transfer coefficient, W/m2K |
x | vapor quality, (-) |
Greek | |
δ | thickness of tube or oil film, m |
∑ | mathematical symbol for summation |
Subscripts | |
G | vapor |
L | liquid |
m | mean |
TP | two-phase |
w | wall |
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Source | Test Section | DHYD (DHP) mm | Flow Direction | Oil Content | TSAT, °C | G, kg/m2s | x | Note |
---|---|---|---|---|---|---|---|---|
Kratz et al. [6] | Annulus | 12.2 (29.2) | H | Immiscible oil | 27 | 27.5 | 0.40 0.81 (mean) | Overall heat transfer coefficients reported. |
Fronk and Garimella [14] | Tube | 0.98 | H | None | 40–50 | 75–100 | 0.20–0.71 | Local heat transfer coefficients reported. |
1.44 | 30–60 | 75–225 | 0.2–0.82 | |||||
2.16 | 50–60 | 75–100 | 0.20–0.86 | |||||
Ruzaikin et al. [16] | Tube | 8 | H, VD, VU | None | 35–65 | 40–160 | 0.08–0.80 | Local heat transfer coefficients reported. |
11 | H, VD, VU | 35–65 | 20–120 | 0.10–0.80 | ||||
8, 11 | Inclined 15° to 82° downward | 55 | 80–120 | 0.15–0.80 |
Source | D, mm | Flow Direction | pr | G, kg/m2s | x | N | Deviations % of Various Correlations, MAD (Upper Row), AD (Lower Row) | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Shah [15] | Kim and Mudawar [26] | Ananiev et al. [28] | Dorao and Fernandino [25] | Hosseini et al. [22] | Moradkhani et al. [21] | Moser et al. [20] | Traviss et al. [37] | Akers et al. [27] | Marinheiro et al. [23] | Nie et al. [24] | |||||||
Fronk and Garimella [14] | 0.98 | H | 0.1367 0.1788 | 75 100 | 0.20 0.71 | 18 | 43.8 −43.8 | 49.7 −49.7 | 59.7 −59.7 | 62.7 −62.7 | 72.8 62.5 | 27.4 −27.1 | 62.5 −62.5 | 34.2 34.2 | 36.0 36.0 | 58.5 −58.5 | 99.3−99.3 |
1.44 | 0.1025 0.2300 | 75 225 | 0.2 0.82 | 49 | 29.5 −29.5 | 28.6 −28.6 | 37.1 −37.1 | 43.2 −43.2 | 54.0 52.6 | 21.1 −20.7 | 45.3 −45.3 | 20.0 20.0 | 47.4 47.4 | 40.7 −40.7 | 98.9−98.9 | ||
2.16 | 0.1788 0.2300 | 75 100 | 0.20 0.86 | 12 | 39.1 28.0 | 23.1 11.7 | 31.5 −11.0 | 24.2 −2.5 | 28.8 28.7 | 32.8 18.7 | 30.0 −18.3 | 57.8 57.8 | 109.7 109.7 | 27.9 2.4 | 95.5−95.5 | ||
Ruzaikin et al. [16] | 8 | H | 0.1187 0.2593 | 40 160 | 0.12 0.81 | 116 | 10.3 5.4 | 20.6 −3.6 | 20.6 −12.4 | 19.7 18.2 | 15.0 15.0 | 15.7 −7.1 | 24.6 −23.4 | 71.7 71.7 | 16.9 16.9 | 13.4 −2.7 | 67.9−67.9 |
VD | 0.203 | 40 160 | 0.13 0.79 | 25 | 14.7 7.8 | 25.6 17.9 | 13.3 0.4 | 40.5 39.5 | 16.2 15.6 | 14.9 8.0 | 15.9 −11.2 | 114.4 114.4 | 36.5 36.5 | 17.2 14.1 | 59.7−59.7 | ||
11 | H | 0.1187 0.2593 | 20 120 | 0.07 0.79 | 101 | 13.3 −12.2 | 43.6 −13.3 | 39.5 −39.5 | 10.2 0.4 | 16.9 16.7 | 27.7 −27.6 | 45.7 −45.7 | 37.7 37.7 | 20.3 20.3 | 26.4 −26.4 | 55.0−55.0 | |
VD | 0.203 | 40 120 | 0.05 0.79 | 38 | 18.0 −6.9 | 26.1 8.5 | 20.2 −13.3 | 41.9 40.6 | 12.9 13.4 | 13.5 2.8 | 23.0 −21.7 | 78.4 78.4 | 14.6 14.6 | 18.0 5.7 | 42.6−42,6 | ||
All sources | 0.98 11.0 | 0.1025 0.2593 | 20 225 | 0.05 0.86 | 359 | 17.5 −7.2 | 30.6 −8.8 | 30.0 −24.9 | 26.3 4.0 | 24.1 −11.4 | 20.7 −12.8 | 34.7 −33.7 | 56.4 44.4 | 27.2 13.1 | 24.3 −15.1 | 67.7−67.7 |
Source | D, mm | θ° | pr | G, kg/m2s | x | N | Deviations % of Various Correlations, MAD (Upper Row), AD (Lower Row) | ||
---|---|---|---|---|---|---|---|---|---|
Shah [30] | Yang et al. [32] | Moghadam et al. [34] | |||||||
Ruzaikin et al. [16] | 8 | +90 | 0.2032 | 40 160 | 0.08 0.76 | 70 | 20.1 18.1 | 82.0 −82.0 | 19.3 −18.1 |
−82 −6 | 0.2032 | 80 120 | 0.10 0.78 | 92 | 10.9 5.3 | 83.2 −83.2 | 29.8 −6.4 | ||
11 | +90 | 0.2032 | 40 120 | 0.07 0.78 | 72 | 18.9 9.5 | 82.2 −82.2 | 35.9 −35.9 | |
All data | 8.0 11.0 | −82 to −6 and +90 | 0.202 | 40 160 | 0.07 0.78 | 234 | 16.1 10/4 | 82.6 −82.6 | 28.5 −19.0 |
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Shah, M.M. Prediction of Heat Transfer during Condensation of Ammonia Inside Tubes and Annuli. Energies 2024, 17, 4869. https://doi.org/10.3390/en17194869
Shah MM. Prediction of Heat Transfer during Condensation of Ammonia Inside Tubes and Annuli. Energies. 2024; 17(19):4869. https://doi.org/10.3390/en17194869
Chicago/Turabian StyleShah, Mirza M. 2024. "Prediction of Heat Transfer during Condensation of Ammonia Inside Tubes and Annuli" Energies 17, no. 19: 4869. https://doi.org/10.3390/en17194869
APA StyleShah, M. M. (2024). Prediction of Heat Transfer during Condensation of Ammonia Inside Tubes and Annuli. Energies, 17(19), 4869. https://doi.org/10.3390/en17194869