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Energy Optimization at Municipal Wastewater Treatment Plants

Energy Optimization at Municipal Wastewater Treatment Plants
城市污水处理厂的能源优化
批准号:
RGPIN-2017-04982
负责人:
Nakhla, George
金额:
$3.72万
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2018
资助国家:
加拿大
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31

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中文摘要
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英文摘要
Most wastewater treatment plants in North America, are approaching their design life necessitating significant capital investment for expansion and upgrade to meet increasingly stringent effluent quality criteria while addressing increased energy costs and heightened needs for economic and environmental sustainability. According to the US EPA, municipal wastewater treatment plants (MWWTP) consume about 75 billion KWH annually, or 3% of the US electricity generated. Aeration energy accounts for about 60% of the overall energy consumption at MWWTP. Furthermore, biosolids processing and disposal costs account for 50%-60% of overall wastewater treatment costs. The main technical challenges facing the municipal wastewater sector relate to nutrients and biosolids management, as well as optimization of energy, necessitating a paradigm shift towards energy neutrality and resource recovery. In contrast to the first generation of biological nutrient (nitrogen and phosphorous) removal (BNR) processes, which remove N by oxidation of ammonia and organic nitrogen to nitrates and then denitrifying to nitrogen gas, second generation BNR processes which nitrify and denitrify through nitrite as well as anaerobically oxidizing ammonia with nitrites, not only offer significant energy savings of up to 40%, but also reduce the addition of much-needed extraneous organic carbon to supplement the wastewater organics for denitrification by as much as 90%. All the second-generation BNR processes employ suspended growth systems that require much higher hydraulic retention times and much larger bioreactor volumes compared to biofilm or fixed-film processes. Energy generation at MWWTP primarily involves anaerobic digestion. However, the efficiency of volatile solids reduction (VSR) in conventional digesters with hydraulic retention times of around 15-30 days, is typically around 50%. While recently, the biogas production from anaerobic digesters has been enhanced through co-digestion of food wastes with municipal biosolids, the fundamentals of synergism are not well understood. The overall long-term objective of the proposed research program is to minimize energy consumption at MWWTP through reduction of aeration energy for nitrogen removal and enhanced conversion of municipal biosolids to methane in anaerobic digestion. The project has three short-term objectives: (1) development of an integrated biofilm process i.e. a fluidized bed bioreactor that combines short-cut nitrification with anaerobic ammonia oxidation in a single reactor; (2) development of a high-rate biofilm anaerobic fluidized bed digester with ultrasonication, and (3) investigation of the fundamental process parameters contributing to the observed synergistic effects of co-digestion of food wastes and wastewater biosolids.
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The IntensiCarb Digester: An Innovative Anaerobic Digestion Technology for Process Intensification and Resource Recovery from Municipal Wastewater Biosolids
  • 批准号:
    561772-2021
  • 项目类别:
    Alliance Grants
  • 资助金额:
    $13.58万
  • 财政年份:
    2021
  • 负责人:
    Nakhla, George
  • 依托单位:
Energy Optimization at Municipal Wastewater Treatment Plants
  • 批准号:
    RGPIN-2017-04982
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $7.43万
  • 财政年份:
    2021
  • 负责人:
    Nakhla, George
  • 依托单位:
Energy Optimization at Municipal Wastewater Treatment Plants
  • 批准号:
    RGPIN-2017-04982
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.72万
  • 财政年份:
    2020
  • 负责人:
    Nakhla, George
  • 依托单位:
Energy Optimization at Municipal Wastewater Treatment Plants
  • 批准号:
    RGPIN-2017-04982
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.72万
  • 财政年份:
    2019
  • 负责人:
    Nakhla, George
  • 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
供应链管理中的稳健型(Robust)策略分析和稳健型优化(Robust Optimization )方法研究
  • 批准号:
    70601028
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    7.0万元
  • 批准年份:
    2006
  • 负责人:
    王明征
  • 依托单位: