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Analysis of the effect of seasonal climate changes on cooling tower efficiency, and strategies for reducing cooling tower power consumption

机译:季节性气候变化对冷却塔效率的影响分析,以及减少冷却塔功耗的策略

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摘要

Cooling towers are widely used in chemical industries to cool water with ambient air that is susceptible to weather changes not only during the day, but also during the year, resulting in challenges to cooling towers design and operation. In the design phase, the difficulties to determine the cooling tower capacity arise not only from the uncertainty of cooling water consumption but also from ambient temperature variations, which have a direct impact on the volume of cooling tower fill and fan power. Wide temperature variations can result in cooling towers that excessively cool water during significant portion of the year. Moreover, an oversized cooling tower brings challenges to the plant operation, since the cooling tower turndown must be high to account for the colder days. The mathematical model of cooling tower operation that is composed by mass and energy balances, and by cooling tower characteristic equations can be simulated to design cooling towers, and forecast their performances in four Brazilian cities (Manaus, Salvador, Sao Paulo and Porto Alegre). Analyzing the results enables the calculation of the cooling tower slack, and the required turndown during the year in these four cities. This work proposes strategies for cooling tower fan operation to reduce the slack, and estimates the electrical energy cost reduction if such strategies are implemented.
机译:冷却塔广泛用于化工工业,以与环境空气冷却水,这些空气易受天气变化的影响,而且在这一年中,也导致冷却塔设计和操作的挑战。在设计阶段,确定冷却塔容量的困难不仅源于冷却水消耗的不确定性,而且来自环境温度变化,这对冷却塔填充和风扇功率的体积直接影响。宽温度变化可能导致冷却塔,在一年中的重要部分期间过度冷却。此外,超大的冷却塔为植物操作带来了挑战,因为冷却塔调节必须高到较冷的日子。通过质量和能量余额和冷却塔特性方程组成的冷却塔操作的数学模型可以模拟设计冷却塔,并预测其四个巴西城市(Manaus,Salvador,Sao Paulo和Porto Alegre)的性能。分析结果使得能够计算冷却塔松弛,以及这四个城市的年度所需的调节。这项工作提出了冷却塔风扇操作的策略,以减少松弛,并且如果实施此类策略,则估计电能成本降低。

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