课题基金 / 基金详情

Collaborative Research: Prechlorination, aging, and backwashing effects on spatiotemporal ultrafiltration fouling:  Optimizing productivity by combining experiments and theory

Collaborative Research: Prechlorination, aging, and backwashing effects on spatiotemporal ultrafiltration fouling:  Optimizing productivity by combining experiments and theory
合作研究:预氯化、老化和反洗对时空超滤污垢的影响:通过实验和理论相结合优化生产率
批准号:
2210992
负责人:
Nicholas Cogan
金额:
$10.94万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2022
资助国家:
美国
项目状态:
未结题
起止时间:
2022-09-01 至 2025-08-31

项目摘要

项目成果

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中文摘要
翻译
在世界范围内,每年至少有一个月约有40亿人严重缺水,全年有超过5亿人缺水。美国和世界各地的水务公司越来越多地利用废水回收来增加饮用水的供应。在许多污水再生厂,中空纤维超滤(UF)膜系统与消毒前处理步骤(如氯化)相结合,以去除二级处理废水中的悬浮固体,包括细菌、病毒和其他病原体。然而,在运行过程中,由于去除的悬浮物堵塞了膜的毛孔,过滤效率和产水量都会下降。因此,废水回收系统的高频超滤膜组件在运行过程中需要经常清洗(每天多次)。该项目的总体目标是开发和验证新一代数学和计算模型,这些模型可以指导高频超滤膜系统的运行和优化,目的是最大化其产水量,同时降低其在废水回收过程中的能源消耗。为了推进这一目标,首席调查员(PI)建议开展一项综合的实验和建模研究计划,以建立和验证膜操作的数学/计算模型,该模型考虑了膜组件几何形状、纤维堆积密度和氯气预处理对高频超滤膜系统过滤效率和产水量的影响。这项研究的成功完成将通过开发新的基础知识和建模工具来造福社会,这些新的基础知识和建模工具可以指导污水再生厂中的超滤高频膜系统的运行,以改善和最大化水的生产,同时减少运行此类系统所需的能源。学生教育和培训将为社会带来更多好处,包括指导佛罗里达州立大学、伍斯特理工学院和德克萨斯农工大学的三名研究生。中空纤维(HF)超滤(UF)膜组件/系统越来越多地被用于污水回收厂,以去除二级处理废水中的悬浮固体、细菌、病毒和其他病原体。然而,能够准确模拟超滤高频膜组件/系统的操作和性能的经过验证的数学和计算模型的开发仍然难以实现。该项目的目标是从机理上了解高频超滤膜组件/系统在多个时间和空间尺度上的性能时空变化。为了推进这一目标,首席调查员(PI)建议利用流体流动方程的解析解,从单一纤维开始,转移到以不同模式排列的“几个”纤维,以再现商业高频超滤膜组件的几何和水力特性。此外,PIS建议开发和验证一个可用于模拟高频超滤膜组件性能的计算模型,目的是确定最佳运行参数,包括氯气预处理浓度、前向过滤过程中的通量/压力状态,以及清洗过程中的膜反冲洗压力和运行时间。这项研究的成功完成有可能通过产生新的基本知识和经过验证的数学/计算模型来指导污水再生厂高频超滤膜组件/系统的设计、操作和优化,从而产生革命性的影响。为了落实该项目的教育和培训目标,私人投资机构建议与生命学合作,开发一个在线课程,以提高公众对水过滤和水再利用的认识--这是一个将科学家、传播者和作家聚集在一起的平台,以设计和制作教育材料,吸引更多的受众。此外,PIS计划利用各自机构的现有外展计划来设计和实施K-12教师培训计划,重点是制定与水质和处理有关的教案。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
Worldwide, approximately 4 billion people experience severe water shortages at least one month per year and over 500 million people experience shortages throughout the year. Wastewater reclamation is increasingly being utilized by water utilities in the United States and worldwide to increase their supply of drinking water. In many wastewater-reclamation plants, a hollow fiber (HF) ultrafiltration (UF) membrane system is combined with a disinfection pretreatment step (e.g., chlorination) to remove suspended solids in secondary treated wastewater including bacteria, viruses, and other pathogens. However, the filtration efficiency and water production decrease during operation as the pores of the membrane HFs become clogged by the removed suspended solids. Thus, the HF UF membrane modules of wastewater reclamation systems needed frequent cleaning (multiple times per day) during their operation. The overarching goal of this project is to develop and validate a new generation of mathematical and computational models that could guide the operation and optimization of an HF UF membrane system with the aim of maximizing its water production while reducing its energy consumption during wastewater reclamation. To advance this goal, the Principal Investigators (PIs) propose to carry out an integrated experimental and modeling research program to build and validate mathematical/computational models of membrane operation that take into account the effects of membrane module geometry, fiber packing density, and chlorine pretreatment on the filtration efficiency and water production of an HF UF membrane system. The successful completion of this research will benefit society though the development of new fundamental knowledge and modeling tools that could guide the operation of UF HF membrane systems in wastewater reclamation plants to improve and maximize water production while reducing the energy required to operate such systems. Additional benefits to society will be achieved through student education and training including the mentoring of three graduate students at Florida State University, Worcester Polytechnic Institute, and Texas A&M University.Hollow fiber (HF) ultrafiltration (UF) membrane modules/systems are increasingly being used in wastewater reclamation plants to remove suspended solids, bacteria, viruses, and other pathogens from secondary treated wastewater. However, the development of validated mathematical and computational models that could accurately simulate the operation and performance of an UF HF membrane module/system has remained elusive. The goal of this project is to derive a mechanistic understanding of spatiotemporal variations in the performance of HF UF membrane module/system over multiple time and spatial scales. To advance this goal, the Principal Investigators (PIs) propose to leverage analytical solutions of fluid flow equations starting with a single fiber, moving to a “few” fibers arranged in different patterns to reproduce the geometry and hydraulic properties of a commercial HF UF membrane module. In addition, the PIs propose to develop and validate a computational model that could be used to simulate the performance of an HF UF membrane module with the goal of identifying optimal operational parameters including chlorine pretreatment concentration, the flux/pressure regimes during forward filtration, and the membrane backwash pressure and run time during cleaning. The successful completion of this research has the potential for transformative impact through the generation of new fundamental knowledge and validated mathematical/computational models to guide the design, operation, and optimization of HF UF membrane modules/systems in wastewater reclamation plants. To implement the educational and training goals of this project, the PIs propose to develop an online course to increase public literacy in water filtration and water reuse in collaboration with Lifeology—a platform that brings together scientists, communicators, and writers to design and produce educational materials to engage broader audiences. In addition, the PIs plan to leverage existing outreach programs at their respective institutions to design and implement K-12 teacher training programs with a focus on the development of lesson plans related to water quality and treatment.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1016/j.seppur.2021.120294
发表时间: 2022-01-20
期刊: SEPARATION AND PURIFICATION TECHNOLOGY
影响因子: 8.6
作者: [Cogan, N. G., Ozturk, Deniz, Chellam, Shankararaman]
通讯作者: Chellam, Shankararaman
UNS Collaborative Research: Optimizing Microfilter Productivity During Water Treatment: Modeling and Experimental Verification
  • 批准号:
    1510743
  • 项目类别:
    Standard Grant
  • 资助金额:
    $16.99万
  • 财政年份:
    2015
  • 负责人:
    Nicholas Cogan
  • 依托单位:
Collaborative Research: Investigating the development and treatment of plant diseases caused by the bacterium Xylella fastidiosa using theoretical and experimental methods
  • 批准号:
    1122378
  • 项目类别:
    Standard Grant
  • 资助金额:
    $28.38万
  • 财政年份:
    2011
  • 负责人:
    Nicholas Cogan
  • 依托单位:
Modeling Biofilms: Fluid Dynamics, Reactions, Diffusion/Advection and Biomass Redistribution
  • 批准号:
    0612467
  • 项目类别:
    Standard Grant
  • 资助金额:
    $3.0万
  • 财政年份:
    2006
  • 负责人:
    Nicholas Cogan
  • 依托单位:
Modeling Biofilms: Fluid Dynamics, Reactions, Diffusion/Advection and Biomass Redistribution
  • 批准号:
    0548511
  • 项目类别:
    Standard Grant
  • 资助金额:
    $3.46万
  • 财政年份:
    2005
  • 负责人:
    Nicholas Cogan
  • 依托单位:
国内基金
海外基金
Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    SATOSHI NAWATA
  • 依托单位:
Cell Research
Cell Research
Cell Research (细胞研究)