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Optimization of progressive freeze concentration on stormwater purification via response surface methodology

机译:基于响应面法的雨水净化渐进冻结浓度优化

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Abstract Shortages and lack of sources of clean water is a big issue nowadays. This problem happens because of the increment of population that leads to the amount of water usage increases at an alarming rate. Therefore, the sources of water must be explored in order to get a continuous supply of clean water. This paper recommends a new approach to get clean water, which is by purifying the stormwater via progressive freeze concentration (PFC). This method produces a single ice crystal block that contains high purity of water. This paper focuses on the optimization of two operating parameters, which are coolant temperature and operating time. In order to determine the effectiveness of this technology, effective partition constant (K) and concentration efficiency (Eff) were examined. Response surface methodology and central composite design were implemented to find the optimum operating conditions via Statistica software. The best responses for K and Eff obtained were 0.189 and 81.0, respectively, with the optimum condition at coolant temperature of ?8.9°C and operating time at 41.1 min. From the findings, it is proved that PFC has the capability to reduce the concentration of unwanted solute in stormwater and this process has a high potential to be an alternative approach to purify the stormwater.
机译:摘要 清洁水源短缺和缺乏是当今的一个大问题。出现此问题的原因是人口的增加导致用水量以惊人的速度增加。因此,必须探索水源,以获得持续的清洁水供应。本文推荐了一种获得清洁水的新方法,即通过渐进冻结浓度 (PFC) 净化雨水。这种方法产生一个含有高纯度水的冰晶块。本文重点介绍了冷却液温度和运行时间两个运行参数的优化。为了确定该技术的有效性,研究了有效分配常数(K)和浓度效率(Eff)。通过Statistica软件实施响应面方法和中心复合材料设计,以找到最佳操作条件。K和Eff的最佳响应分别为0.189和81.0%,最佳状态为-8.9°C,运行时间为41.1 min。从研究结果来看,PFC具有降低雨水中不需要的溶质浓度的能力,并且该过程很有可能成为净化雨水的替代方法。

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