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COOLISS: A MODELING TOOL FOR SCALING PREDICTION IN CONDENSER COOLING CIRCUITS WITH COOLING TOWERS

机译:COOLISS:带有冷却塔的冷凝器冷却电路中尺度预测的建模工具

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One of the main issues of condenser open recirculating cooling systems is scaling. This phenomenon can have high economic consequences due to a loss of thermal exchange, an increase of maintenance costs and potentially plant shutdown. To tackle this problem, EDF, which operates 30 condenser open cooling circuits in nuclear power plants in France, has developed a modeling computer program called CooliSS©, to help optimize chemical treatment. CooliSS is based on a chemical mass balance model and can provide predictions of cooling water chemistry evolution within the cooling circuit, as a function of operating conditions. The software was developed under the open source environment Scilab/Xcos©. Phreeqc is used for the calculation of water chemistry in each component of the circuit (chemical speciation, pH and saturation index calculation, etc.). The model is based on theoretical considerations. Currently, two states of CooliSS are available to predict scaling in condenser cooling circuits equipped with counter-flow cooling towers: one is dedicated to studies at steady state and the other one to dynamic studies, i.e. when operating conditions vary as a function of time. A case study will be presented in this paper: the dynamic version of the CooliSS model, was used to evaluate an acid injection control system before its commissioning in Cruas nuclear power plant. CooliSS is able to calculate the variations of chemical composition along the circuit according to operating conditions fluctuations with time (makeup water quality, flow rates, evaporation rate, temperature...). CooliSS allows the initial calculation of the acid flow rate as a function of operating conditions and of the makeup water quality based on the Ryznar index. Then, during operations, the program adjusts the acid flow rate as a function of the resulting quality of the circulating water according to the control parameters.
机译:冷凝器开放式循环冷却系统的主要问题之一是结垢。由于热交换的损失,维护成本的增加以及潜在的工厂停工,这种现象可能会带来很高的经济后果。为了解决这个问题,法国电力公司在法国的核电厂中设有30个冷凝器露天冷却回路,并开发了一种名为CooliSS©的建模计算机程序,以帮助优化化学处理。 CooliSS基于化学物质平衡模型,可以根据运行条件提供冷却回路中冷却水化学变化的预测。该软件是在开源环境Scilab / Xcos©下开发的。 Phreeqc用于计算回路中每个组件中的水化学成分(化学形态,pH和饱和指数计算等)。该模型基于理论考虑。当前,可利用CooliSS的两种状态来预测配备有逆流冷却塔的冷凝器冷却回路的结垢:一种状态专门用于稳态研究,另一种状态用于动态研究,即当工作条件随时间变化时。本文将提供一个案例研究:CooliSS模型的动态版本用于在Cruas核电站投产之前评估酸注入控制系统。 CooliSS能够根据运行条件随时间(补充水质,流速,蒸发速率,温度...)的波动来计算沿回路的化学成分变化。 CooliSS允许根据Ryznar指数根据运行条件和补充水质量对酸流量进行初始计算。然后,在运行期间,程序会根据控制参数根据循环水的最终质量来调节酸流量。

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