2010
DOI: 10.1016/j.ijheatmasstransfer.2009.10.037
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On the influence of psychrometric ambient conditions on cooling tower drift deposition

Abstract: Water drift emitted from cooling towers is objectionable for several reasons, mainly due to human health reasons. A numerical model to study the influence of psychrometric ambient conditions on cooling tower drift deposition was developed. The mathematical model presented, consisting of two coupled sets of conservation equations for the continuous and discrete phases, was incorporated in the general purpose CFD code Fluent. Both experimental plume performance and drift deposition were employed to validate the … Show more

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Cited by 49 publications
(14 citation statements)
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“…Computational Fluids Dynamics (CFD) is a suitable tool for estimating drift, droplet evaporation and deposition in cooling towers zones (Takata et al [2], Riddle et al [3]). In the work of Lucas et al [4], a study of the influence of psychometric ambient conditions on cooling tower drift is carried out by means of CFD tools. Meroney [5] presented numerical results for the cooling tower dispersion and drift downwind the cooling tower.…”
Section: Introductionmentioning
confidence: 99%
“…Computational Fluids Dynamics (CFD) is a suitable tool for estimating drift, droplet evaporation and deposition in cooling towers zones (Takata et al [2], Riddle et al [3]). In the work of Lucas et al [4], a study of the influence of psychometric ambient conditions on cooling tower drift is carried out by means of CFD tools. Meroney [5] presented numerical results for the cooling tower dispersion and drift downwind the cooling tower.…”
Section: Introductionmentioning
confidence: 99%
“…The air flow field was described by the Reynolds-averaged Navier-Stokes conservation equations (RANS) combined with the standard k-ε model to account for the turbulence effects [28]. The governing equations of the airflow are given in the Eulerian modelling as [29]:…”
Section: Continuous Phasementioning
confidence: 99%
“…All numerical calculations were run first using the pressure-based steady-state solver with SIMPLE segregated algorithms and second-order discretization [53]. The convergence criterion in each calculation was for all scaled residuals of the dependent variables to drop to the order of 10 -4 [69] and remain invariable afterwards. In addition, the integral variables monitored also remained stable when iterating.…”
Section: Governing Equations and Solvermentioning
confidence: 99%