课题基金 / 基金详情

Development of predictive emission monitoring system (PEMS)

Development of predictive emission monitoring system (PEMS)
开发预测排放监测系统(PEMS)
批准号:
535813-2018
负责人:
Du, Ke
金额:
$1.46万
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:
2020
资助国家:
加拿大
项目状态:
已结题
起止时间:
2020-01-01 至 2021-12-31

项目摘要

项目成果

Du, Ke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
Predictive Emission Monitoring Systems (PEMS) predict the air pollutant emissions from industrial sources based on the known operating parameters in combination with key process conditions (e.g., fuel consumption, ambient conditions, etc.). The objective of the proposed research is to monitor NOx, exhaust flow, temperature from combustion sources by applying the state-of-the-art machine learning technologies, particularly deep learning architecture, to environmental monitoring and aims to bring cost-effective environmental monitoring technologies to Canadian industries. The capital cost for PEMS is estimated to be 50% of a comparable Continuous Emission Monitoring System (CEMS); furthermore, the operations & maintenance (O&M) costs for PEMS are expected to be approximately 10% to 20% of the cost of CEMS. The developed product will be deployed in the sponsor's new facility for air monitoring in Alberta. It can also be included as an option to third-party licensees of the sponsor's Hydrofraction technology. Although the number of commercial PEMS installations in the US and Europe has significantly increased since 1990, PEMS implementation and utilization in Canada, particularly in Alberta, remains low. The major reasons and challenges include 1) Industry awareness 2) Software licensing, 3) lack of clarities of the regulatory approval process for PEMS installation and application, 4) lack of transferability from one facility to another, and 5) limited predicted parameters (variables). The research will (1) Develop next generation PEMS model using open source software for PEMS to reduce the software licensing cost; (2) Increase PEMS' transferability. The model can be used on a number of facilities directly, instead of facility-specific model; (3) Include all regulatory-required parameters as model outputs; therefore, CEMS unit can be completely replaced; (4) Obtain provincial (Alberta) and federal regulatory agencies' approval to pave a way for a broader installation of PEMS in Canadian industries.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
A Hybrid Multi-Path Optical Remote Sensing System for Monitoring Fugitive Areal Emission of Methane
  • 批准号:
    RGPIN-2020-05223
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.89万
  • 财政年份:
    2022
  • 负责人:
    Du, Ke
  • 依托单位:
Development of predictive emission monitoring system (PEMS)
  • 批准号:
    535813-2018
  • 项目类别:
    Collaborative Research and Development Grants
  • 资助金额:
    $1.46万
  • 财政年份:
    2021
  • 负责人:
    Du, Ke
  • 依托单位:
A Hybrid Multi-Path Optical Remote Sensing System for Monitoring Fugitive Areal Emission of Methane
  • 批准号:
    RGPIN-2020-05223
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.89万
  • 财政年份:
    2021
  • 负责人:
    Du, Ke
  • 依托单位:
A Hybrid Multi-Path Optical Remote Sensing System for Monitoring Fugitive Areal Emission of Methane
  • 批准号:
    RGPIN-2020-05223
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.89万
  • 财政年份:
    2020
  • 负责人:
    Du, Ke
  • 依托单位:
海外基金