Evaluating the performance of eductor as vacuum generator and condenser in thermal desalination

• Eductor with chevron nozzle achieved the highest performance. • Eductor with multi-nozzle suitable for higher inlet pressure. • Eductor-based desalination enables compact alternative to traditional systems. • Experimental and CFD results validate single-nozzle eductor performance. This study presents an experimental and computational investigation of liquid eductor performance aimed at enhancing vacuum generation for desalination applications, specifically vacuum membrane distillation (VMD). Three eductor nozzle configurations were explored: single nozzle, multi-nozzle (three nozzles with varying nozzle spacing), and chevron nozzle (with tooth numbers ranging from 4 to 12). An experimental study was conducted on the single-nozzle configuration, and results were used to validate Computational Fluid Dynamics (CFD) simulations using the realizable k–ε turbulence model with enhanced wall treatment. The validated model was extended to analyze multi-nozzle and chevron designs. The multi-nozzle configuration with a nozzle spacing ratio (D n /D) of 0.23 achieved the highest vacuum generation among the multi-nozzle cases. The 10-tooth chevron nozzle achieved the best overall performance, generating a vacuum corresponding to a minimum secondary flow saturation temperature of approximately 18 °C at an inlet pressure of 230 kPa, outperforming other chevron designs (4–12 teeth). The chevron nozzle exhibited around 95 % improvement in vacuum generation, resulting in significantly lower saturation temperature of around 35 °C, and an average increase in secondary flow rate of around 37 % compared to the single nozzle. The multi-nozzle configuration demonstrated approximately 20 % improvement in vacuum generation relative to the single nozzle. This work introduces and evaluates chevron nozzles and systematically explores multi-nozzle configurations for the first time in the context of vacuum eductors for desalination. A case study integrating the eductor into a thermal vacuum desalination (TVD) system highlights the potential for replacing conventional vacuum pumps and condensers, leading to more compact desalination setups. These findings emphasize the critical role of nozzle design in optimizing vacuum generation, lowering saturation temperatures, and improving performance in eductor-driven desalination systems. Future work will extend this research to two-phase flow dynamics for desalination applications.

Institutions

Publication Details

Journal
Applied Thermal Engineering
Published
2025-08-15
DOI
https://doi.org/10.1016/j.applthermaleng.2025.127892
Citations
3
Primary Topic
Theoretical and Computational Physics
Type
article
Field-Weighted Citation Impact
3.77
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluating the performance of eductor as vacuum generator and condenser in thermal desalination

3 citations
Applied Thermal Engineering
Theoretical and Computational Physics
3.77
article

Evaluating the performance of eductor as vacuum generator and condenser in thermal desalination

article en
3 citations

Abstract

• Eductor with chevron nozzle achieved the highest performance. • Eductor with multi-nozzle suitable for higher inlet pressure. • Eductor-based desalination enables compact alternative to traditional systems. • Experimental and CFD results validate single-nozzle eductor performance. This study presents an experimental and computational investigation of liquid eductor performance aimed at enhancing vacuum generation for desalination applications, specifically vacuum membrane distillation (VMD). Three eductor nozzle configurations were explored: single nozzle, multi-nozzle (three nozzles with varying nozzle spacing), and chevron nozzle (with tooth numbers ranging from 4 to 12). An experimental study was conducted on the single-nozzle configuration, and results were used to validate Computational Fluid Dynamics (CFD) simulations using the realizable k–ε turbulence model with enhanced wall treatment. The validated model was extended to analyze multi-nozzle and chevron designs. The multi-nozzle configuration with a nozzle spacing ratio (D n /D) of 0.23 achieved the highest vacuum generation among the multi-nozzle cases. The 10-tooth chevron nozzle achieved the best overall performance, generating a vacuum corresponding to a minimum secondary flow saturation temperature of approximately 18 °C at an inlet pressure of 230 kPa, outperforming other chevron designs (4–12 teeth). The chevron nozzle exhibited around 95 % improvement in vacuum generation, resulting in significantly lower saturation temperature of around 35 °C, and an average increase in secondary flow rate of around 37 % compared to the single nozzle. The multi-nozzle configuration demonstrated approximately 20 % improvement in vacuum generation relative to the single nozzle. This work introduces and evaluates chevron nozzles and systematically explores multi-nozzle configurations for the first time in the context of vacuum eductors for desalination. A case study integrating the eductor into a thermal vacuum desalination (TVD) system highlights the potential for replacing conventional vacuum pumps and condensers, leading to more compact desalination setups. These findings emphasize the critical role of nozzle design in optimizing vacuum generation, lowering saturation temperatures, and improving performance in eductor-driven desalination systems. Future work will extend this research to two-phase flow dynamics for desalination applications.

Applied Thermal EngineeringVol. 279
University of Pennsylvania (US), RMIT University (AU)
Affordable and clean energy
Openalex Percentile: Top 6%
Theoretical and Computational Physics
3.77
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.