湍流通量,积分模型系数,和脱盐排放预测

IF 9.8 1区 工程技术 Q1 ENGINEERING, CHEMICAL
Shuen Law , Mark J. Davidson , Craig McConnochie , Pedro J. Lee
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引用次数: 0

摘要

大型海水淡化厂的盐水排放通常以倾斜负浮力射流(INBJs)的形式出现。现有用于预测海水淡化排放行为的简化预测(积分)模型与物理测量结果相比存在显著误差。这些INBJ预测的准确性取决于我们对流动中平均通量和湍流通量的了解。在这项研究中,从最近生成和验证的大涡模拟(LES)数据集中提取了INBJs的平均通量和湍流通量。然后探讨了这些新信息对开发和实施积分模型的影响,特别关注这些模型预测代表物理测量流剖面的特征参数的能力。积分模型发展的核心(顾名思义)是垂直于流动方向的横截面上的平均通量和湍流通量的积分,以确定模型系数。当垂直剖面的无量纲函数形式保持不变时,这些积分系数保持不变,即与下游距离无关(自相似)。自相似假设和相关的常积分系数对预测喷流和羽流是有效的。通过分析新的LES通量数据,可以直接从inbj各截面的平均通量和湍流通量数据确定积分模型系数,从而确定自相似假设在多大程度上对这些流有效。对这些通量的分析也有助于对现有INBJ积分模型进行修改,从而显著提高模型预测。后者证实,以前注意到的与测量数据的差异的一个重要来源是确定inbj的整体模型系数的方法过于简化。此外,新的通量数据为交叉验证未来的实验和模拟结果提供了基础,并为进一步的实验研究提供了信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Turbulent fluxes, integral model coefficients, and desalination discharge predictions
Brine discharges from large-scale desalination plants are typically in the form of inclined negatively buoyant jets (INBJs). Existing simplified predictive (integral) models employed to predict the behavior of desalination discharges demonstrate significant errors when compared with physical measurements. The accuracy of these INBJ predictions is dependent on our knowledge of the mean and turbulent fluxes within the flow. In this study, the mean and turbulent fluxes of INBJs are extracted from a recently generated and validated Large Eddy Simulation (LES) dataset. The implications of this new information for development and implementation of integral models are then explored, with a particular focus on the ability of these models to predict characteristic parameters that are representative of physically measured flow profiles. Central to the development of integral models (as the name suggests) is the integration of mean and turbulent fluxes over cross-sections perpendicular to flow direction to determine model coefficients. These integral coefficients remain constant where the non-dimensional functional form of the perpendicular profiles remains unchanged, that is, independent of downstream distance (self-similarity). The assumption of self-similarity and associated constant integral coefficients has been shown to be valid for predicting jet and plume. Analysis of the new LES flux data enables the integral model coefficients to be determined directly from the mean and turbulent flux data at each cross-section for INBJs and to therefore determine the extent to which the assumption of self-similarity remains valid for these flows. Analysis of these fluxes also informs modifications to an existing INBJ integral model, which result in significantly improved model predictions. The latter confirms that a substantial source of previously noted discrepancies with measured data has been an oversimplified approach to determining integral model coefficients for INBJs. In addition, the new flux data provides a basis for cross-validating future experimental and simulation results, as well as informing further experimental studies of these flows.
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来源期刊
Desalination
Desalination 工程技术-工程:化工
CiteScore
14.60
自引率
20.20%
发文量
619
审稿时长
41 days
期刊介绍: Desalination is a scholarly journal that focuses on the field of desalination materials, processes, and associated technologies. It encompasses a wide range of disciplines and aims to publish exceptional papers in this area. The journal invites submissions that explicitly revolve around water desalting and its applications to various sources such as seawater, groundwater, and wastewater. It particularly encourages research on diverse desalination methods including thermal, membrane, sorption, and hybrid processes. By providing a platform for innovative studies, Desalination aims to advance the understanding and development of desalination technologies, promoting sustainable solutions for water scarcity challenges.
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