Evidence map›Paper›PMID 41444329›Full record

ArticleScientific reports2025

An experimental investigation of the drift ratio and its influencing factors in mechanical draft wet cooling towers.

Linxiu Qu, Lujun Li

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Linxiu QuState Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China.
Lujun LiState Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China. lilujun2008@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The drift ratio is a key indicator of the water-saving performance of cooling towers. However, quantitative experimental studies on the drift ratio remain limited. To address this issue, this study establishes a drift rate test platform and conducts 96 experiments on the droplet loss of water caused by drift loss and droplet dripping, using a mechanical draft wet model tower and the filter paper moisture absorption method. The characteristics of the drift droplets and floating water volume are analyzed, along with the variation patterns of the drift ratio, and a three-variable prediction model is proposed. Experimental results indicate that the drift ratio of cooling towers is not governed by a single factor, but is jointly influenced by the nozzle diameter, water drenching density, and sectional wind velocity, exhibiting nonlinear behavior. Among these factors, the nozzle diameter plays a critical role, while the sectional wind velocity and water drenching density exert a synergistic regulatory effect. Detailed analysis reveals that increasing the sectional wind velocity consistently results in a nonlinear increase in the drift ratio. With increasing sectional wind velocity, small-diameter nozzles (D ≤ 34 mm) produce higher drift ratios than large-diameter nozzles (D ≥ 36 mm). Moreover, as the water drenching density increases, the drift ratios of small-diameter nozzles rise and peak at 13 t/(h·m²), whereas those of large-diameter nozzles decrease, peaking at 7 t/(h·m²). To further quantify the influence of these factors, an exponential regression model for the drift ratio is developed as a function of the water drenching density and sectional wind velocity, grouped by nozzle diameter, achieving a goodness of fit exceeding 98%. This study provides a valuable reference for nozzle selection and water-saving design in wet cooling towers for engineering applications.

Indexed as

Cooling towerDrift dropletsDrift rate test platformDrift ratioFilter paper moisture absorption method

Identifiers

PMID41444329
PMCPMC12738747

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