Mitigating Salinity Effects: Thermal Performance Analysis of a Packing-Free Shower Cooling Tower for Seawater Application Using a Comprehensive Droplet-Based Model

This study addresses the operational challenges of conventional packed cooling towers in seawater applications, where salt deposition and blockage significantly impair performance. A packing-free shower cooling tower (SCT) utilizing droplet-based heat and mass transfer is proposed as a robust alternative for high-salinity applications where conventional packed towers are prone to fouling and blockage. A comprehensive numerical model was developed and validated experimentally, showing a maximum error of less than 6% in predicting outlet water temperature. The analysis demonstrates that increasing salinity markedly reduces cooling efficiency—for instance, at threefold concentration (S ≈ 57.96 g/kg), efficiency decreased by 5.59% in summer and 4.91% in winter compared to freshwater, due to reduced vapor pressure and inhibited evaporation. However, elevating the inlet water temperature and air-to-water ratio partially counteracted these effects by enhancing evaporative and convective transfer. Larger droplet diameters also adversely affected performance, with cooling efficiency dropping from 75.87% (1 mm droplets) to 28.92% (3.5 mm droplets) in freshwater summer conditions. Notably, seasonal variations influenced the magnitude of salinity-related performance loss, with winter operations exhibiting less degradation. These findings provide critical insights and a reliable predictive tool for the design and optimization of high-salinity cooling systems.

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Journal
Processes
Published
2025-09-28
DOI
https://doi.org/10.3390/pr13103108
Primary Topic
Solar-Powered Water Purification Methods
Type
article
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article

Mitigating Salinity Effects: Thermal Performance Analysis of a Packing-Free Shower Cooling Tower for Seawater Application Using a Comprehensive Droplet-Based Model

Fang Da, Pengjiang Guo, Zhenqiang Gao
Processes
Solar-Powered Water Purification Methods
article

Mitigating Salinity Effects: Thermal Performance Analysis of a Packing-Free Shower Cooling Tower for Seawater Application Using a Comprehensive Droplet-Based Model

Fang Da, Pengjiang Guo, Zhenqiang Gao
article en

Abstract

This study addresses the operational challenges of conventional packed cooling towers in seawater applications, where salt deposition and blockage significantly impair performance. A packing-free shower cooling tower (SCT) utilizing droplet-based heat and mass transfer is proposed as a robust alternative for high-salinity applications where conventional packed towers are prone to fouling and blockage. A comprehensive numerical model was developed and validated experimentally, showing a maximum error of less than 6% in predicting outlet water temperature. The analysis demonstrates that increasing salinity markedly reduces cooling efficiency—for instance, at threefold concentration (S ≈ 57.96 g/kg), efficiency decreased by 5.59% in summer and 4.91% in winter compared to freshwater, due to reduced vapor pressure and inhibited evaporation. However, elevating the inlet water temperature and air-to-water ratio partially counteracted these effects by enhancing evaporative and convective transfer. Larger droplet diameters also adversely affected performance, with cooling efficiency dropping from 75.87% (1 mm droplets) to 28.92% (3.5 mm droplets) in freshwater summer conditions. Notably, seasonal variations influenced the magnitude of salinity-related performance loss, with winter operations exhibiting less degradation. These findings provide critical insights and a reliable predictive tool for the design and optimization of high-salinity cooling systems.

ProcessesVol. 13(10)
Shandong University of Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 82%
Solar-Powered Water Purification Methods
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Mitigating Salinity Effects: Thermal Performance Analysis of a Packing-Free Shower Cooling Tower for Seawater Application Using a Comprehensive Droplet-Based Model — Fang Da, Pengjiang Guo, et al. · Processes (2025) | TGRS Research Map | TGRS