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Enabling wastewater treatment process automation: leveraging innovations in real-time sensing, data analysis, and online controls

机译:实现废水处理过程自动化:利用实时感应,数据分析和在线控制的创新

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摘要

The primary mandate of wastewater treatment facilities is the limitation of pollutant discharges, however both continued tightening of permit limits and unique challenges associated with improving sustainability (i.e., resource recovery) demand innovation. Enabling increasingly sophisticated treatment processes in a cost-effective and energy-efficient way requires expanding capabilities for rapid, accurate real-time quantification of a broadened range of wastewater constituents as well as envisioning novel feedback control strategies based on these signals. This manuscript quantitatively compares results of early adoption of instrumentation and process upgrades at operating wastewater treatment facilities and proof-of-concept research results, with a focus on leveraging real-time sensing of wastewater chemistry for process monitoring and control. Up to 10% improvement in nutrient removal and energy savings are already being achieved, yet shortfalls in hardware readiness, lack of field-relevant context of research results, and a widening gap between the training of environmental engineers and the skillsets required to develop and maintain sensor-driven solutions present challenges. A forward-looking roadmap highlights opportunities for accelerating innovation, including (1) ensuring research results are published in units and context that allow operators to make an informed cost-benefit analysis with explicit comparison to existing operational baselines, (2) promoting integrated design of hardware and software to generate novel approaches for improved sensing of target analytes, (3) strengthening partnerships nationally, including for data sharing, field testing of new hardware, and expanding educational curricula, and (4) building forums for sharing of expertise and data among plant operators to enable smaller facilities to more cost-effectively collect information required to design and evaluate upgrades.
机译:废水处理设施的主要任务是污染物排放的限制,然而,持续收紧许可限制和与提高可持续性相关的独特挑战(即资源恢复)需求创新。以成本效益和节能的方式实现越来越复杂的处理过程,需要扩展基于这些信号的扩大范围的废水成分以及设想新的反馈控制策略的快速,准确的实时量化的能力。该手稿数量地比较了在经营废水处理设施和概念证明研究结果中提前采用仪器和工艺升级的结果,重点是利用废水化学的实时传感工艺监测和控制。营养消除和节能的提高高达10%,但硬件准备情况不足,缺乏现场相关的研究结果背景,以及环境工程师培训与开发和维护所需的技能组织之间的差距。传感器驱动的解决方案存在挑战。前瞻性的路线图强调了加速创新的机会,包括(1)确保研究结果以单位和背景公布,允许运营商对现有的运营基线进行明确比较进行明确的成本效益分析,(2)促进综合设计硬件和软件为改善目标分析物的传感,(3)全国加强伙伴关系,包括用于数据共享,新硬件的现场测试,以及扩展教育课程的数据分享,以及(4)建立专业知识和数据的论坛工厂运营商能够使较小的设施能够更具成本有效地收集设计和评估升级所需的信息。

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  • 来源
    《Environmental Science: Water Research & Technology》 |2020年第11期|2973-2992|共20页
  • 作者单位

    Northeastern Univ Dept Civil & Environm Engn 360 Huntington Ave Boston MA 02115 USA;

    Univ Massachusetts Dept Civil & Environm Engn 130 Nat Resources Rd Amherst MA 01003 USA;

    Northeastern Univ Dept Civil & Environm Engn 360 Huntington Ave Boston MA 02115 USA;

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