Engineering Department, Palermo University, Viale delle Scienze, Ed.8, 90128 Palermo, Italy; School of Environmental and Municipal Engineering, Tianjin Chengjian University, 26 Jinjing Road, Xiqing District, Tianjin 300384, China.
Centre for Technology in Water and Wastewater, School of Civil and Environmental Engineering, University of Technology Sydney, Sydney, New South Wales 2007, Australia.
Bioresour Technol. 2020 Apr;302:122824. doi: 10.1016/j.biortech.2020.122824. Epub 2020 Jan 20.
This paper presents a modelling study aimed at minimizing the environmental foot print of a membrane bioreactor (MBR) for wastewater treatment. Specifically, an integrated model for MBR was employed in view of the management optimization of an MBR biological nutrient removal (BNR) pilot plant in terms of operational costs and direct greenhouse gases emissions. The influence of the operational parameters (OPs) on performance indicators (PIs) was investigated by adopting the Extended-FAST sensitivity analysis method. Further, a multi-objective analysis was performed by applying the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The results show-up that the sludge retention time is the OP mostly affecting all the investigated PIs. By applying the set of optimal OPs, there was a reduction of 48% and 10% of the operational costs and direct emissions, respectively.
本文提出了一项建模研究，旨在最小化用于废水处理的膜生物反应器（MBR）的环境足迹。具体而言，针对 MBR 生物营养去除（BNR）中试工厂的管理优化，采用了集成 MBR 模型，以降低运营成本和直接温室气体排放。通过采用扩展快速分析方法（Extended-FAST）对操作参数（OPs）对性能指标（PIs）的影响进行了研究。此外，还通过应用理想解逼近排序法（TOPSIS）进行了多目标分析。结果表明，污泥停留时间是对所有研究的 PI 影响最大的 OP。通过应用最优 OP 集，运营成本和直接排放分别降低了 48%和 10%。
