课题基金 / 基金详情

Integrated, scalable technology solutions for PFAS removal and destruction

Integrated, scalable technology solutions for PFAS removal and destruction
用于去除和销毁 PFAS 的集成、可扩展的技术解决方案
批准号:
SR180100027
负责人:
Prof Jurg Keller
金额:
$72.46万
依托单位国家:
澳大利亚
项目类别:
Special Research Initiatives
财政年份:
2019
资助国家:
澳大利亚
项目状态:
已结题
起止时间:
2019-05-09 至 2023-05-08

项目摘要

项目成果

Prof Jurg Keller的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
This project aims to deliver a ready-to-deploy and scalable modular technology that is capable of removing poly- and per-fluoroalkyl substances (PFAS) from a variety of water sources, including groundwater and surface waters, to make them virtually PFAS-free and therefore safe for human consumption. The concept draws on recent advances in water treatment and electrochemistry that is based on ion exchange, nanofiltration and advanced oxidation. A risk-based framework will be developed to deliver fit-for-purpose solutions at minimal cost for stakeholders and taxpayers. This project is expected to benefit the residents who live in the vicinity of contaminated waterways or consume water from polluted sources.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Sustainable production of chemicals and fuels from carbon dioxide
  • 批准号:
    DP160102308
  • 项目类别:
    Discovery Projects
  • 资助金额:
    $35.72万
  • 财政年份:
    2016
  • 负责人:
    Prof Jurg Keller
  • 依托单位:
Bio-electrochemical sulfate reduction and sulfur recovery without external carbon source
  • 批准号:
    DP120104415
  • 项目类别:
    Discovery Projects
  • 资助金额:
    $28.6万
  • 财政年份:
    2012
  • 负责人:
    Prof Jurg Keller
  • 依托单位:
Iron and phosphorus recovery from ferric precipitation sludge
  • 批准号:
    LP100200223
  • 项目类别:
    Linkage Projects
  • 资助金额:
    $22.27万
  • 财政年份:
    2011
  • 负责人:
    Prof Jurg Keller
  • 依托单位:
Novel concepts for bioelectrochemical generation of renewable fuels and chemicals from wastewater
  • 批准号:
    DP110100539
  • 项目类别:
    Discovery Projects
  • 资助金额:
    $25.31万
  • 财政年份:
    2011
  • 负责人:
    Prof Jurg Keller
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis