ABSTRACT
The supercritical boiler is one of the ways to enable sustainable energy development. Its revolution cannot be separated from the study of the characteristics of supercritical carbon dioxide in a spiral pipe. This research article provided an industrially compliant model of a water-cooled wall spiral pipe with one-side heating for heat transfer. The simulation was set for various parameters including P = 30.42 MPa, Tin = 578–643 K, q = 105–180 kW/m2, G = 1784–2348 kg/m2s. The article discussed in detail factors such as buoyancy and secondary flow for these cases. The results showed that in the range of high parameters, mass fluxes, heat fluxes, and inlet temperature all had a substantial influence on the temperature and velocity fields, with the mass flux showing a non-monotonic trend on the HTC and the heat flux having a more subtle influence on the HTC. The inhomogeneous heating pattern affected the buoyancy and secondary flow motion, changing the temperature field in the tube, and enhancing the velocity field at the bend and on the heating side. A new empirical correlation for supercritical CO2 with non-uniform heating was proposed.
Nomenclature
= | specific heat (kJ kg−1 K−1) | |
= | average specific heat on the cross-section (kJ kg−1 K−1) | |
D | = | outside diameter (mm) |
d | = | inside diameter (mm) |
G | = | mass flux (kg m−2 s−1) |
h | = | local heat transfer coefficient (kWm−2 K−1) |
L | = | tube length (m) |
Nu | = | Nusselt number |
P | = | pressure (MPa) |
Pr | = | Prantl number |
q | = | heat flux(kWm−2) |
Re | = | Reynolds number |
T | = | temperature (K) |
= | velocity (m/s) | |
= | nondimensional distance from wall | |
HTC | = | Heat transfer coefficient |
UDF | = | User-Defined Function |
BMCR | = | Boiler Maximum Continuous Rating |
Greek symbols | = | |
= | axial angle,° | |
= | dynamic viscosity (Pa s) | |
= | shear stress (N/m2) | |
λ | = | thermal conductivity (Wm−1 K−1) |
= | turbulent dissipation rate (m2 s−3) | |
ρ | = | density (kg m−3) |
Subscripts | = | |
b | = | bulk |
cr | = | critical |
= | flow fluid | |
t | = | turbulent |
i, j, k | = | general spatial indices |
w | = | wall |
in | = | inlet |
Abbreviations | = | |
PRE | = | results given by correlations |
CAL | = | numerical results |
RD | = | relative deviation |
+(RD)max | = | maximum positive relative deviation |
−(RD)max | = | maximum negative relative deviation |
MRD | = | mean absolute relative deviation |
MARD | = | mean absolute relative deviation |
Disclosure statement
No potential conflict of interest was reported by the authors.
Additional information
Notes on contributors
Sen Zhang
Sen Zhang and Qi Zhang are postgraduate students at University of Shanghai for Science and Technology.
Xiaohong Hao
Xiaohong Hao is an associate professor and supervisor of master candidate at University of Shanghai for Science and Technology. Research interests in the preparation of biodiesel and the supercritical fluid heat and mass transfer.
Su Du
Su Du was awarded a Master's degree in Power Engineering at University of Shanghai for Science and Technology in 2022.
Qi Zhang
Qiguo Yang is currently the Dean of the Institute of Energy and Power Engineering at University of Shanghai for Science and Technology .
Qiguo Yang
Sen Zhang and Qi Zhang are postgraduate students at University of Shanghai for Science and Technology.