Increasing wastewater treatment plant capacity by cellulose recovery with a rotating belt filter : lab and plant-wide modelling studies

通过旋转带式过滤器回收纤维素来提高废水处理厂的容量:实验室和全厂建模研究

基本信息

  • 批准号:
    507499-2017
  • 负责人:
  • 金额:
    $ 0.91万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Engage Plus Grants Program
  • 财政年份:
    2017
  • 资助国家:
    加拿大
  • 起止时间:
    2017-01-01 至 2018-12-31
  • 项目状态:
    已结题

项目摘要

Cellulose (originating from toilet paper) makes up a large part of the suspended solids in domestic wastewater.Previous work within this project has shown that cellulose has a very complex degradation kinetics which ismuch slower than other compounds in typical domestic wastewaters. Given this difficult degradation, celluloseis an important contributor to sludge production in wastewater treatment plants and can as such present animportant limiting factor on a plant's capacity. Removal of cellulose in a pre-treatment step by sieving with aRotating Belt Filter (RBF) shows great potential to increase the performance of wastewater treatment systemswhile keeping investment and space requirements low. Moreover, the solids that are retained by the RBF canbe recovered for either reuse or conversion to energy. However, in order to make decisions on properinstallation and operation of an RBF pre-treatment, more detailed, qualitative information on the fate ofcellulose in a treatment plant is needed and the specific biodegradation dynamics of cellulose need to beinvestigated further.So far, cellulose degradation could only be investigated in an indirect way due to the lack of a valid analysismethod to directly measure the concentration of cellulose in wastewater and sludge samples. However, a newanalysis method allowing for direct cellulose measurements has recently been developed thus opening up newperspectives for the analysis of the cellulose degradation mechanism. It is the goal of the Engage plus project tocombine this novel analysis method with traditional biodegradation experiments for a more direct analysis ofthe fate of cellulose during its degradation as well as detailed characterisation of the cellulose content inincoming wastewater. The combined knowledge of degradation rate and proper influent fractionation cansubsequently be used in a detailed modelling study to support the industrial partner in decision makingregarding the installation and operation of their product (a Salsnes RBF).
纤维素(源自卫生纸)构成了生活废水中悬浮固体的很大一部分。该项目的前期工作表明,纤维素具有非常复杂的降解动力学,比典型生活废水中的其他化合物慢得多。由于纤维素难以降解,因此它是污水处理厂产生污泥的重要因素,也是工厂产能的重要限制因素。在预处理步骤中,通过旋转带式过滤器(RBF)筛分去除纤维素,显示出巨大的潜力,可以提高废水处理系统的性能,同时保持低投资和空间要求。此外,RBF保留的固体可以回收再利用或转化为能源。然而,为了对RBF预处理的正确安装和操作做出决定,需要更详细、更定性的关于纤维素在处理厂命运的信息,并且需要进一步研究纤维素的特定生物降解动力学。到目前为止,由于缺乏一种有效的分析方法来直接测量废水和污泥样品中纤维素的浓度,因此只能以间接的方式研究纤维素的降解。然而,最近开发了一种新的分析方法,允许直接测量纤维素,从而为纤维素降解机制的分析开辟了新的视角。Engage plus项目的目标是将这种新的分析方法与传统的生物降解实验相结合,以更直接地分析纤维素在降解过程中的命运,并详细描述进入废水中的纤维素含量。有关降解率和适当进水分馏的综合知识随后可用于详细的建模研究,以支持工业合作伙伴就其产品的安装和操作做出决策(Salsnes RBF)。

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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Vanrolleghem, Peter其他文献

Automated image analysis tool for migration fat bloom evaluation of chocolate coated food products
  • DOI:
    10.1016/j.lwt.2008.01.008
  • 发表时间:
    2008-12-01
  • 期刊:
  • 影响因子:
    6
  • 作者:
    Nopens, Ingmar;Foubert, Imogen;Vanrolleghem, Peter
  • 通讯作者:
    Vanrolleghem, Peter

Vanrolleghem, Peter的其他文献

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{{ truncateString('Vanrolleghem, Peter', 18)}}的其他基金

Towards digital twin based control of water resource recovery facilities - Methods supporting the use of adaptive hybrid digital twins
基于数字孪生的水资源回收设施控制 - 支持使用自适应混合数字孪生的方法
  • 批准号:
    RGPIN-2021-04347
  • 财政年份:
    2022
  • 资助金额:
    $ 0.91万
  • 项目类别:
    Discovery Grants Program - Individual
Towards digital twin based control of water resource recovery facilities - Methods supporting the use of adaptive hybrid digital twins
基于数字孪生的水资源回收设施控制 - 支持使用自适应混合数字孪生的方法
  • 批准号:
    RGPIN-2021-04347
  • 财政年份:
    2021
  • 资助金额:
    $ 0.91万
  • 项目类别:
    Discovery Grants Program - Individual
COVID-19 wastewater-based epidemiology back calculation using hybrid modelling methods
使用混合建模方法进行基于 COVID-19 废水的流行病学反算
  • 批准号:
    554965-2020
  • 财政年份:
    2020
  • 资助金额:
    $ 0.91万
  • 项目类别:
    Alliance Grants
Modelling the integrated urban wastewater system based on water quality - MOSAIQUE (Modélisation du Système d'Assainissement Intégré basé sur la QUalité de l'Eau)
基于水质的综合城市污水处理系统建模 - MOSAIQUE (Modelise du Système dAssainissement Intégré basé sur la QUalité de lEau)
  • 批准号:
    519890-2017
  • 财政年份:
    2020
  • 资助金额:
    $ 0.91万
  • 项目类别:
    Collaborative Research and Development Grants
Model-based optimization of water resource recovery facilities
基于模型的水资源回收设施优化
  • 批准号:
    RGPIN-2016-06522
  • 财政年份:
    2020
  • 资助金额:
    $ 0.91万
  • 项目类别:
    Discovery Grants Program - Individual
Waste2Feed - Resource recovery from bio-waste as high-efficiency fertilizers for food production
Waste2Feed - 从生物废物中回收资源,作为粮食生产的高效肥料
  • 批准号:
    521553-2018
  • 财政年份:
    2020
  • 资助金额:
    $ 0.91万
  • 项目类别:
    Strategic Projects - Group
Model-based optimization of water resource recovery facilities
基于模型的水资源回收设施优化
  • 批准号:
    RGPIN-2016-06522
  • 财政年份:
    2019
  • 资助金额:
    $ 0.91万
  • 项目类别:
    Discovery Grants Program - Individual
Water Quality Modelling
水质建模
  • 批准号:
    1000228757-2012
  • 财政年份:
    2019
  • 资助金额:
    $ 0.91万
  • 项目类别:
    Canada Research Chairs
Waste2Feed - Resource recovery from bio-waste as high-efficiency fertilizers for food production
Waste2Feed - 从生物废物中回收资源,作为粮食生产的高效肥料
  • 批准号:
    521553-2018
  • 财政年份:
    2019
  • 资助金额:
    $ 0.91万
  • 项目类别:
    Strategic Projects - Group
Model-based optimization of water resource recovery facilities
基于模型的水资源回收设施优化
  • 批准号:
    RGPIN-2016-06522
  • 财政年份:
    2018
  • 资助金额:
    $ 0.91万
  • 项目类别:
    Discovery Grants Program - Individual

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