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Evidence-based Synthesis and Advanced Modeling towards Next Generation of Membrane Science and Technology

Evidence-based Synthesis and Advanced Modeling towards Next Generation of Membrane Science and Technology
下一代膜科学技术的循证合成和高级建模
批准号:
RGPIN-2020-04650
负责人:
Abdelrasoul, Amira
金额:
$2.4万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2021
资助国家:
加拿大
项目状态:
已结题
起止时间:
2021-01-01 至 2022-12-31

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中文摘要
翻译
膜技术是目前各种水和废水处理以及众多工业和生物医学应用的最有效的方法。膜技术的主要缺点是污染,这会导致渗透通量下降,截留选择性改变,能耗和运行成本增加,寿命缩短。膜的性能可以通过插入纳米膜来改善膜的亲水性或通过试错法进行表面改性来提高。然而,这些方法取得的成功有限,并造成了更多的问题;具体地说,它们面临着与NFS的分散机制相关的多重挑战和缺陷,这些机制对物理、化学和机械稳定性产生了负面影响。因此,在了解膜稳定性、性能和寿命的控制方面存在着实质性的知识差距。此外,由于缺乏膜内水传输和溶质相互作用的可视化研究,以及相关的污染机制,阻碍了我们控制膜的形态和开发其可调化学,这反过来又影响了膜的性能和寿命。关于准确的机械方面及其转化为数学概念和模型描述以预测膜的性能和寿命的知识也是缺乏的。这项研究计划的总体目标是开发和合成具有更好的稳定性、性能、防污染性能和使用寿命的创新膜。为实现这一目标,短期(5年)目标是:(1)开发和优化具有可调化学特性的膜设计,以增强膜的亲水性并减少污染物的相互作用;(2)开展一系列现场调查和数据验证,以优化膜的操作条件和分散机制,以获得最佳的化学、物理和机械稳定性,从而提高性能和寿命;以及(3)研究膜基质中的原位水传输、相互作用和污染机制,并开发有效评估膜性能的综合模型。该研究计划的长期目标是为多种使用场景和各种应用创造最佳的膜技术。所获得的知识对于开发工业应用中的分离过程的先进膜技术至关重要,这些技术解决了水和废水处理的可持续性、保护环境健康以及加拿大和全球的工业问题。结果的潜在用户包括广泛的行业、环境保护机构和政府决策者。该计划将加强加拿大在可持续发展领域的经济竞争力,并培训HQP,使其具备进入未来工业、咨询、学术或政府职位所需的技能。
英文摘要
Membrane technology is currently the most effective method for diversified water and wastewater treatment as well as numerous industrial and biomedical applications. The major drawback of membrane technology is fouling, which causes a decline in permeation flux, change in rejection selectivity, increase in energy consumption and operating costs, and reduction in lifetime. Membrane performance can be enhanced by improving membrane hydrophilicity through inserting nanofillers (NFs) or undertaking surface modification by trial-and-error methodologies. However, these approaches have limited success and create additional problems; specifically, they face multiple challenges and drawbacks related to the dispersion mechanisms of NFs that negatively affect physical, chemical, and mechanical stability. As such, a substantial knowledge gap exists in terms of understanding the controls on membrane stability, performance, and lifetime. Furthermore, the absence of advanced research on visualization of water transport and solute interactions inside membrane matrices, and associated fouling mechanisms, prevents us from controlling membrane morphology and exploiting their tunable chemistry, which in turn affects performance and lifetime. Knowledge with respect to accurate mechanistic aspects and their translation into mathematical concepts and model descriptions to predict membrane performance and longevity is also lacking. The overall goal of this research program is to develop and synthesize innovative membranes with improved stability, performance, antifouling properties, and lifetimes. Towards this goal, the short-term (5-year) objectives are to: (1) develop and optimize membrane designs with tuned chemistry to enhance membrane hydrophilicity and reduce contaminant interactions; (2) conduct a series of in situ investigations and data validations to optimize the operating conditions and dispersion mechanisms of NFs for optimal chemical, physical, and mechanical stabilities for improved performance and lifetimes; and (3) investigate in situ water transport, interactions, and fouling mechanisms inside membrane matrices and develop comprehensive models that effectively evaluate membrane performance. The long-term goal of this research program is to create optimal membrane technologies for multiple usage scenarios and a variety of applications. The knowledge gained will be critical for developing advanced membrane technologies for separation processes in industrial applications that address water and wastewater treatment sustainability, safeguarding of environmental health, and industrial concerns in Canada and globally. The potential users of the results include a wide range of industries, environmental protection agencies, and governmental decision makers. This program will strengthen Canada's economic competitiveness in sustainability sectors and train HQP with skills necessary to move into future positions in industry, consulting, academia, or government.
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Evidence-based Synthesis and Advanced Modeling towards Next Generation of Membrane Science and Technology
  • 批准号:
    RGPIN-2020-04650
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.4万
  • 财政年份:
    2022
  • 负责人:
    Abdelrasoul, Amira
  • 依托单位:
Evidence-based Synthesis and Advanced Modeling towards Next Generation of Membrane Science and Technology
  • 批准号:
    DGECR-2020-00466
  • 项目类别:
    Discovery Launch Supplement
  • 资助金额:
    $0.91万
  • 财政年份:
    2020
  • 负责人:
    Abdelrasoul, Amira
  • 依托单位:
Evidence-based Synthesis and Advanced Modeling towards Next Generation of Membrane Science and Technology
  • 批准号:
    RGPIN-2020-04650
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.4万
  • 财政年份:
    2020
  • 负责人:
    Abdelrasoul, Amira
  • 依托单位:
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  • 资助金额:
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