Optimization of a wastewater treatment system for the mining industry

采矿业废水处理系统的优化

基本信息

  • 批准号:
    535812-2018
  • 负责人:
  • 金额:
    $ 11.66万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Collaborative Research and Development Grants
  • 财政年份:
    2019
  • 资助国家:
    加拿大
  • 起止时间:
    2019-01-01 至 2020-12-31
  • 项目状态:
    已结题

项目摘要

The project aims at optimizing a wastewater treatment system, named Mudwizard®, developed by Technosub. This technology is currently used as a pumping and dewatering solution for the mining industry, which prevents the pumping of large amount of mud to the surface. The system is composed of three main parts, the dissolver, the mixer and the settling tank, all designed on a trial and error basis. The dissolver is a sludge flocculation system containing pucks to accelerate the separation of solid particles and liquid water. The separation then continues in the mixer and dissolver resulting in the separation of about 500 gallons per minute of wastewater. A combined experimental and numerical approach is proposed here to optimize these three components for a wide range of operating conditions (temperature, pH, flowrate and type of puck). One experimental set-up will be developed at Université de Sherbrooke and the results compared to both numerical simulations and on-site measurements in LaRonde gold mine. This will lead to the optimization of both the process and the system in terms of geometry and operating conditions. The budget of this 3-year project is 240 k$ and will enable to recruit three full-time master students, one part-time research assistant and one bachelor intern. The success of this project will improve the economic potential and environmental impact of Technosub. More generally, it will reduce the environmental impact of the Canadian mining industry by more properly managing wastewater and so preventing water and soil pollution.
该项目旨在优化由技术开发的名为Mudwizard®的废水处理系统,目前使用PING和脱水解决方案,以防止将大量的泥浆泵送到主要零件上。储罐都以试验和误差为基础为了优化各种操作条件的三个组件(温度,pH,流量和冰球的类型)。 Laronde Gold Mine。实习生,这项项目的成功提高了技术的经济潜力和环境影响,它将通过更适当地管理废水,因此以及土壤污染来减少加拿大采矿的环境影响。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Rancourt, David其他文献

Collecting critically endangered cliff plants using a drone-based sampling manipulator.
  • DOI:
    10.1038/s41598-022-17679-x
  • 发表时间:
    2022-09-13
  • 期刊:
  • 影响因子:
    4.6
  • 作者:
    La Vigne, Hughes;Charron, Guillaume;Rachiele-Tremblay, Julien;Rancourt, David;Nyberg, Ben;Desbiens, Alexis Lussier
  • 通讯作者:
    Desbiens, Alexis Lussier
Author Correction: Collecting critically endangered cliff plants using a drone-based sampling manipulator.
  • DOI:
    10.1038/s41598-022-21945-3
  • 发表时间:
    2022-10-13
  • 期刊:
  • 影响因子:
    4.6
  • 作者:
    La Vigne, Hughes;Charron, Guillaume;Rachiele-Tremblay, Julien;Rancourt, David;Nyberg, Ben;Desbiens, Alexis Lussier
  • 通讯作者:
    Desbiens, Alexis Lussier
Pulmonary hypertension subjects exhibit right ventricular transient exertional dilation during supine exercise stress echocardiography
  • DOI:
    10.1177/2045894019851904
  • 发表时间:
    2019-06-01
  • 期刊:
  • 影响因子:
    2.6
  • 作者:
    El-Yafawi, Rama;Rancourt, David;Wirth, Joel A.
  • 通讯作者:
    Wirth, Joel A.
Fast and Efficient Aerial Climbing of Vertical Surfaces Using Fixed-Wing UAVs
  • DOI:
    10.1109/lra.2018.2881433
  • 发表时间:
    2019-01-01
  • 期刊:
  • 影响因子:
    5.2
  • 作者:
    Mehanovic, Dino;Rancourt, David;Desbiens, Alexis Lussier
  • 通讯作者:
    Desbiens, Alexis Lussier

Rancourt, David的其他文献

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{{ truncateString('Rancourt, David', 18)}}的其他基金

Collaborative Payload Lifting using Tethered Unmanned Fixed-Wing Aircraft
使用系留无人固定翼飞机进行协作有效负载提升
  • 批准号:
    RGPIN-2019-06655
  • 财政年份:
    2022
  • 资助金额:
    $ 11.66万
  • 项目类别:
    Discovery Grants Program - Individual
Battery Management System and Active Thermal Control of Aircraft Batteries for Aerospace Applications in Cold Temperature
低温下航空航天应用的电池管理系统和飞机电池主动热控制
  • 批准号:
    560762-2020
  • 财政年份:
    2021
  • 资助金额:
    $ 11.66万
  • 项目类别:
    Alliance Grants
Durable Magnetorheological Actuators for Aircraft Primary Flight Systems
适用于飞机主飞行系统的耐用磁流变执行器
  • 批准号:
    567155-2021
  • 财政年份:
    2021
  • 资助金额:
    $ 11.66万
  • 项目类别:
    Alliance Grants
Collaborative Payload Lifting using Tethered Unmanned Fixed-Wing Aircraft
使用系留无人固定翼飞机进行协作有效负载提升
  • 批准号:
    RGPIN-2019-06655
  • 财政年份:
    2021
  • 资助金额:
    $ 11.66万
  • 项目类别:
    Discovery Grants Program - Individual
Collaborative Payload Lifting using Tethered Unmanned Fixed-Wing Aircraft
使用系留无人固定翼飞机进行协作有效负载提升
  • 批准号:
    RGPIN-2019-06655
  • 财政年份:
    2020
  • 资助金额:
    $ 11.66万
  • 项目类别:
    Discovery Grants Program - Individual
Parallel-hybrid electric propulsion optimization for regional turboprop aircraft
支线涡轮螺旋桨飞机并联混合电力推进优化
  • 批准号:
    535999-2018
  • 财政年份:
    2020
  • 资助金额:
    $ 11.66万
  • 项目类别:
    Collaborative Research and Development Grants
Collaborative Payload Lifting using Tethered Unmanned Fixed-Wing Aircraft
使用系留无人固定翼飞机进行协作有效负载提升
  • 批准号:
    RGPIN-2019-06655
  • 财政年份:
    2019
  • 资助金额:
    $ 11.66万
  • 项目类别:
    Discovery Grants Program - Individual
Parallel-hybrid electric propulsion optimization for regional turboprop aircraft
支线涡轮螺旋桨飞机并联混合电力推进优化
  • 批准号:
    535999-2018
  • 财政年份:
    2019
  • 资助金额:
    $ 11.66万
  • 项目类别:
    Collaborative Research and Development Grants
Collaborative Payload Lifting using Tethered Unmanned Fixed-Wing Aircraft
使用系留无人固定翼飞机进行协作有效负载提升
  • 批准号:
    DGECR-2019-00382
  • 财政年份:
    2019
  • 资助金额:
    $ 11.66万
  • 项目类别:
    Discovery Launch Supplement
Mission-Influenced Optimized Hybrid Propulsion Architectures for Aircraft
受任务影响的优化飞机混合推进架构
  • 批准号:
    528352-2018
  • 财政年份:
    2018
  • 资助金额:
    $ 11.66万
  • 项目类别:
    Engage Grants Program

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利用人工智能和机器学习优化污水处理厂的运行
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  • 财政年份:
    2022
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    $ 11.66万
  • 项目类别:
    Alliance Grants
Optimization of wastewater treatment plant operation using artificial intelligence and machine learning
利用人工智能和机器学习优化污水处理厂的运行
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Biolargo 电化学高级氧化系统的开发和优化,用于处理含有难降解药物化合物的城市废水
  • 批准号:
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BioLargo 电化学高级氧化系统的开发和优化,用于大规模城市废水处理和消毒。
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    $ 11.66万
  • 项目类别:
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