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Two-phase nozzles performances CFD modeling for low-grade heat to power generation: mass transfer models assessment and a novel transitional formulation
- Source :
- Thermal Science and Engineering Progress, Thermal Science and Engineering Progress, Elsevier, 2021, pp.101139. ⟨10.1016/j.tsep.2021.101139⟩
- Publication Year :
- 2021
- Publisher :
- HAL CCSD, 2021.
-
Abstract
- The use of two-phase nozzles for low-grade heat valorization by electricity production increases the energy recovery rate using Trilateral Flash or Wet to Dry cycles. A model benchmark for nozzle flow rate and efficiency estimation was conducted on experimental data from the literature. These data come from a series of tests made on geothermal energy production water two-phase nozzles. A new transitional bubble-to-droplet interfacial area density formulation (TA-BD model) is presented by the paper. It is compared to three models from literature. Two nozzles operating with different inlet and outlet conditions were modeled. The calibration flexibility and the robustness of the models are discussed in association with physical analysis. The paper shows how the models using single or redundant adaptation parameters fail to provide good results simultaneously on flow rate and efficiency. It appeared that the TA-BD model is the more flexible and robust. The Homogeneous Relaxation Model (HRM) model gives also good results. Furthermore, TA-BD model gives the lowest average discrepancies. Especially at the best efficiency point of the first test case, TA-BD model shows less than 1% discrepancy where the HRM model has 18% discrepancy in efficiency. The TA-BD model appeared to be easier to calibrate than the HRM model. Finally, regarding the proposed TA-BD model, the sensitivity to the geometry and operating conditions shows that the interfacial area density formulation could be completed to include the effect of nozzle's section profile, the effect of the inlet temperature on bubbles number density, and the effect of outlet pressure on the droplets number density.
- Subjects :
- Fluid Flow and Transfer Processes
Energy recovery
Number density
business.industry
020209 energy
Nozzle
02 engineering and technology
Mechanics
Computational fluid dynamics
01 natural sciences
7. Clean energy
010305 fluids & plasmas
Volumetric flow rate
[SPI]Engineering Sciences [physics]
Electricity generation
0103 physical sciences
0202 electrical engineering, electronic engineering, information engineering
Sensitivity (control systems)
Area density
business
ComputingMilieux_MISCELLANEOUS
Mathematics
Subjects
Details
- Language :
- English
- ISSN :
- 24519049
- Database :
- OpenAIRE
- Journal :
- Thermal Science and Engineering Progress, Thermal Science and Engineering Progress, Elsevier, 2021, pp.101139. ⟨10.1016/j.tsep.2021.101139⟩
- Accession number :
- edsair.doi.dedup.....313858d8e986900a2b9235e17928387e