Department of Civil Engineering and Architecture, University of Pavia, Pavia, Italy; modelEAU, Département de génie civil et de génie des eaux, Université Laval, Québec City, Québec, Canada.
modelEAU, Département de génie civil et de génie des eaux, Université Laval, Québec City, Québec, Canada.
Sci Total Environ. 2019 Jun 10;668:668-677. doi: 10.1016/j.scitotenv.2019.03.055. Epub 2019 Mar 5.
Phosphorus recovery has drawn much attention during recent years, due to estimated limited available quantities, and to the harmful environmental impact that it may have when freely released into aquatic environments. Struvite precipitation from wastewater or biological sludge is among the preferred approaches applied for phosphorus recovery, as it results in the availability of valuable fertilizer materials. This process is mostly affected by pH and presence of competitive ions in solution. Modeling and optimization of the precipitation process may help understanding the optimal conditions under which the most efficient recovery could be achieved. In this study, a combination of chemical equilibrium modeling and response surface methodology (RSM) was applied to this aim to aerobic sludge from a plant in Italy. The results identify optimum chemical parameters values for best phosphorus precipitation recovery and removal efficiencies, respectively. Identification of optimal conditions for process control is of great importance for implementing pilot scale struvite precipitation and achieve efficient phosphorus recovery.
近年来，由于估计可用数量有限，以及如果自由释放到水生环境中可能产生的有害环境影响，磷的回收引起了广泛关注。从废水或生物污泥中沉淀鸟粪石是应用于磷回收的首选方法之一，因为它可提供有价值的肥料材料。该过程主要受 pH 值和溶液中竞争离子的存在影响。沉淀过程的建模和优化有助于了解可以实现最有效回收的最佳条件。在这项研究中，组合使用化学平衡建模和响应面法（RSM）来研究意大利工厂的好氧污泥。结果确定了最佳的化学参数值，以分别实现最佳的磷沉淀回收和去除效率。确定最佳的工艺控制条件对于实施中试规模鸟粪石沉淀和实现高效磷回收非常重要。
