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采用建模方法优化大型工业污水处理厂:案例研究。

Optimization of a large industrial wastewater treatment plant using a modeling approach: A case study.

机构信息

Department of Civil and Environmental Engineering, University of Florence, Via Santa Marta 3, Florence, Italy.

Department of Civil and Environmental Engineering, University of Florence, Via Santa Marta 3, Florence, Italy.

出版信息

J Environ Manage. 2019 Nov 1;249:109436. doi: 10.1016/j.jenvman.2019.109436. Epub 2019 Aug 24.

Abstract

The objective of this paper is to find the optimum solid retention time (SRT) of a wastewater treatment plant (WWTP), which minimizes operating costs, using a modeling approach with WEST software by MIKE DHI®. For the determination of the kinetic and stoichiometric parameters (used for the correct calibration of the model implemented), respirometric and kinetic batch tests were carried out. Each Oxidation ditch was modeled by a sequence of four aerated activated sludge units (ASUs) and four anoxic ASUs with recirculation. The model is able to simulate the separation efficiency of the secondary settler, which is generally quite low: in fact, the industrial origin of the wastewater induces the formation of small flocs, the dimensions of which can be further reduced by the presence of surface aerators. The nitrification/denitrification process is also accurately predicted. Using data obtained from the model, mass balances at the steady state for COD and N were made and compared to the ones obtained using measured data. After calibration and validation of the model, steady-state simulations were carried out by increasing and decreasing the SRT of the system under two different operational conditions used by the managing company and by evaluating the costs related to the water treatment line and the sludge treatment line for each scenario. It is interesting to note how the total costs are lower in summer than in winter (7.2 €cent/m in summer and 8.7 €cent/m in winter, in scenario 0). In general, the increase in the SRT led to a decrease in the total management costs. In fact, differences between scenario 0 and the scenario with the lowest total treatment costs (corresponding to an SRT of 11.4 d in winter and 10.0 d in summer) could give rise to total savings of about 44·000€/year in summer and 93·000€/year in winter.

摘要

本文旨在通过 MIKE DHI® 的 WEST 软件建立模型的方法,确定使污水处理厂(WWTP)运行成本最低的最佳固体停留时间(SRT)。为了确定动力学和化学计量学参数(用于正确校准所实施的模型),进行了呼吸测量和动力学批量测试。每个氧化沟由四个曝气活性污泥单元(ASU)和四个带有回流的缺氧 ASU 组成。该模型能够模拟二次沉淀池的分离效率,而二次沉淀池的分离效率通常非常低:事实上,废水的工业来源会导致形成小絮体,而表面曝气器的存在可以进一步减小这些絮体的尺寸。硝化/反硝化过程也能被准确预测。使用从模型中获得的数据,在稳态下对 COD 和 N 进行质量平衡,并将其与使用测量数据获得的结果进行比较。在对模型进行校准和验证之后,在两种不同的操作条件下增加和减少系统的 SRT 进行稳态模拟,由管理公司使用,并评估每个方案中与水处理线和污泥处理线相关的成本。有趣的是,夏季的总费用比冬季低(夏季为 7.2 欧元/立方米,冬季为 8.7 欧元/立方米,方案 0)。一般来说,SRT 的增加会导致总管理成本的降低。事实上,方案 0 和总处理成本最低的方案(对应于冬季 11.4 天和夏季 10.0 天的 SRT)之间的差异可能会导致夏季总节省约 44000 欧元/年,冬季总节省约 93000 欧元/年。

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