Centre for Technology in Water and Wastewater, School of Civil and Environmental Engineering, University of Technology Sydney, Sydney, NSW 2007, Australia.
Sci Total Environ. 2012 Nov 1;438:59-65. doi: 10.1016/j.scitotenv.2012.08.019. Epub 2012 Sep 7.
This paper aims to put forward several management alternatives regarding the application of recycled water for household laundry in Sydney. Based on different recycled water treatment techniques such as microfiltration (MF), granular activated carbon (GAC) or reverse osmosis (RO), and types of washing machines (WMs), five alternatives were proposed as follows: (1) do nothing scenario; (2) MF+existing WMs; (3) MF+new WMs; (4) MF-GAC+existing WMs; and (5) MF-RO+existing WMs. Accordingly, a comprehensive quantitative assessment on the trade-off among a variety of issues (e.g., engineering feasibility, initial cost, energy consumption, supply flexibility and water savings) was performed over the alternatives. This was achieved by a computer-based multi-criteria analysis (MCA) using the rank order weight generation together with preference ranking organization method for enrichment evaluation (PROMETHEE) outranking techniques. Particularly, the generated 10,000 combinations of weights via Monte Carlo simulation were able to significantly reduce the man-made errors of single fixed set of weights because of its objectivity and high efficiency. To illustrate the methodology, a case study on Rouse Hill Development Area (RHDA), Sydney, Australia was carried out afterwards. The study was concluded by highlighting the feasibility of using highly treated recycled water for existing and new washing machines. This could provide a powerful guidance for sustainable water reuse management in the long term. However, more detailed field trials and investigations are still needed to effectively understand, predict and manage the impact of selected recycled water for new end use alternatives.
本文旨在为悉尼家庭洗衣用再生水的应用提出几种管理方案。基于不同的再生水处理技术,如微滤(MF)、颗粒活性炭(GAC)或反渗透(RO),以及不同类型的洗衣机(WM),提出了以下五种方案:(1)不作为方案;(2)MF+现有 WM;(3)MF+新型 WM;(4)MF-GAC+现有 WM;(5)MF-RO+现有 WM。相应地,通过基于计算机的多准则分析(MCA),使用等级权重生成与偏好排序组织方法用于富集评估(PROMETHEE)排序技术,对各种问题(如工程可行性、初始成本、能源消耗、供应灵活性和节水)之间的权衡进行了全面的定量评估。特别是,通过蒙特卡罗模拟生成的 10000 组权重组合,由于其客观性和高效率,能够显著减少人为设定权重的误差。为了说明该方法,随后对澳大利亚悉尼的 Rouse Hill 发展区(RHDA)进行了案例研究。该研究通过强调使用高度处理的再生水对现有和新型洗衣机的可行性,得出结论。这可为长期可持续的水资源再利用管理提供有力的指导。然而,为了有效理解、预测和管理选定的再生水对新用途替代方案的影响,仍需要进行更详细的现场试验和调查。