Fluidized Catalytic Cracking (FCC) and Chemical Looping Combustion (CLC): Kinetics , First Principle Models (FPM), Data Driven Models (DDM) and Artificial Intelligence (AI)

流化催化裂化 (FCC) 和化学循环燃烧 (CLC):动力学、第一原理模型 (FPM)、数据驱动模型 (DDM) 和人工智能 (AI)

基本信息

  • 批准号:
    555745-2020
  • 负责人:
  • 金额:
    $ 1.82万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Alliance Grants
  • 财政年份:
    2020
  • 资助国家:
    加拿大
  • 起止时间:
    2020-01-01 至 2021-12-31
  • 项目状态:
    已结题

项目摘要

This research will be developed in partnership with Imperial Oil, Canada with the aim of improving FCC (Fluidized Catalytic Cracking) and CLC (Chemical Lopping Combustion) processes. The proposed approach involves: a) The establishment of catalytic cracking kinetics using catalysts and VGO (vacuum gas oil) provided by Imperial Oil, in the CREC Riser Simulator-Mark II, b) The determination of FPMs (First Principle Models) for FCC large scale units using Barracuda CPFDs (Computational Particle Fluid Dynamics), c) The establishment of DDMs (Data Driven Models) involving adjustable parameters and model trainers, using the FMP project data library and Imperial Oil operational data, d) The development of a new CREC-Hybrid AI (Artificial Intelligence) algorithm using the Matlab/Python software. This project addresses challenges faced nowadays by Imperial Oil refineries as well as other refineries in North America. These issues are the result of rapid changes in the cost of VGO feedstocks, gasoline value and increased CO2 and other greenhouse gas emissions. Thus, the CREC Riser Simulator together with AI training models for FCC and CLC, will provide a unique platform to determine the best approaches to enhance the performance of FCC processes and VGO refinery operations worldwide.
这项研究将与加拿大帝国石油公司合作开展,目的是改进FCC(流化催化裂化)和CLC(化学落屑燃烧)过程。建议的方法包括:a)在CREC立管模拟器mark II中,使用帝国石油公司提供的催化剂和VGO(真空气油)建立催化裂化动力学,b)使用Barracuda cpfd(计算粒子流体动力学)确定FCC大型装置的FPMs(第一原理模型),c)使用FMP项目数据库和帝国石油公司的操作数据建立涉及可调参数和模型训练器的DDMs(数据驱动模型)。d)利用Matlab/Python软件开发一种新的crecc - hybrid AI(人工智能)算法。

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)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

DeLasa, Hugo其他文献

DeLasa, Hugo的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('DeLasa, Hugo', 18)}}的其他基金

Reaction Engineering for a New Era of Green Chemical Processes
绿色化学工艺新时代的反应工程
  • 批准号:
    RGPIN-2021-03743
  • 财政年份:
    2022
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Fluidized Catalytic Cracking (FCC) and Chemical Looping Combustion (CLC): Kinetics , First Principle Models (FPM), Data Driven Models (DDM) and Artificial Intelligence (AI)
流化催化裂化 (FCC) 和化学循环燃烧 (CLC):动力学、第一原理模型 (FPM)、数据驱动模型 (DDM) 和人工智能 (AI)
  • 批准号:
    555745-2020
  • 财政年份:
    2021
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Alliance Grants
Reaction Engineering for a New Era of Green Chemical Processes
绿色化学工艺新时代的反应工程
  • 批准号:
    RGPIN-2021-03743
  • 财政年份:
    2021
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Chemical Reaction Engineering for Clean Energy and Green Chemical Processes
清洁能源和绿色化工过程的化学反应工程
  • 批准号:
    RGPIN-2016-04434
  • 财政年份:
    2020
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Mixing and liquid-vapor equilibrium of dilbit-water-sand/clay slurries in the syncrude naphtha recovery unit
合成石脑油回收装置中稀释沥青-水-砂/粘土浆液的混合和液汽平衡
  • 批准号:
    515085-2017
  • 财政年份:
    2019
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Collaborative Research and Development Grants
Chemical Reaction Engineering for Clean Energy and Green Chemical Processes
清洁能源和绿色化工过程的化学反应工程
  • 批准号:
    RGPIN-2016-04434
  • 财政年份:
    2019
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Mixing and liquid-vapor equilibrium of dilbit-water-sand/clay slurries in the syncrude naphtha recovery unit
合成石脑油回收装置中稀释沥青-水-砂/粘土浆液的混合和液汽平衡
  • 批准号:
    515085-2017
  • 财政年份:
    2018
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Collaborative Research and Development Grants
Mixing and liquid-vapor equilibrium of dilbit-water-sand/clay slurries in the syncrude naphtha recovery unit
合成石脑油回收装置中稀释沥青-水-砂/粘土浆液的混合和液汽平衡
  • 批准号:
    515085-2017
  • 财政年份:
    2017
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Collaborative Research and Development Grants
Integrated CO2 biomass gasification and chemical looping combustion for the production of biochar, CO2 for green houses and clean energy
集成二氧化碳生物质气化和化学循环燃烧,用于生产生物炭、温室二氧化碳和清洁能源
  • 批准号:
    462978-2014
  • 财政年份:
    2016
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Strategic Projects - Group
Chemical reaction engineering for clean energy and environmentally friendly processes
清洁能源和环境友好过程的化学反应工程
  • 批准号:
    1267-2011
  • 财政年份:
    2015
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual

相似海外基金

STructured unconventional reactors for CO2-fRee Methane catalytic crackING
用于无二氧化碳甲烷催化裂化的结构化非常规反应器
  • 批准号:
    10044059
  • 财政年份:
    2022
  • 资助金额:
    $ 1.82万
  • 项目类别:
    EU-Funded
Fluidized Catalytic Cracking (FCC) and Chemical Looping Combustion (CLC): Kinetics , First Principle Models (FPM), Data Driven Models (DDM) and Artificial Intelligence (AI)
流化催化裂化 (FCC) 和化学循环燃烧 (CLC):动力学、第一原理模型 (FPM)、数据驱动模型 (DDM) 和人工智能 (AI)
  • 批准号:
    555745-2020
  • 财政年份:
    2022
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Alliance Grants
Fluidized Catalytic Cracking (FCC) and Chemical Looping Combustion (CLC): Kinetics , First Principle Models (FPM), Data Driven Models (DDM) and Artificial Intelligence (AI)
流化催化裂化 (FCC) 和化学循环燃烧 (CLC):动力学、第一原理模型 (FPM)、数据驱动模型 (DDM) 和人工智能 (AI)
  • 批准号:
    555745-2020
  • 财政年份:
    2021
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Alliance Grants
Development of Reactors for Thermal and Catalytic Cracking
热裂化和催化裂化反应器的开发
  • 批准号:
    RGPIN-2017-04428
  • 财政年份:
    2021
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Development of Reactors for Thermal and Catalytic Cracking
热裂化和催化裂化反应器的开发
  • 批准号:
    RGPIN-2017-04428
  • 财政年份:
    2020
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Extraction of feedstock factors affecting catalytic cracking of polycyclic aromatic hydrocarbons and development of a reaction prediction model
影响多环芳烃催化裂化的原料因素提取及反应预测模型的建立
  • 批准号:
    20K05207
  • 财政年份:
    2020
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Development of Reactors for Thermal and Catalytic Cracking
热裂化和催化裂化反应器的开发
  • 批准号:
    RGPIN-2017-04428
  • 财政年份:
    2019
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Development of Reactors for Thermal and Catalytic Cracking
热裂化和催化裂化反应器的开发
  • 批准号:
    RGPIN-2017-04428
  • 财政年份:
    2018
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Development of Reactors for Thermal and Catalytic Cracking
热裂化和催化裂化反应器的开发
  • 批准号:
    RGPIN-2017-04428
  • 财政年份:
    2017
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Catalytic thermal cracking of plastics waste
塑料废料的催化热裂解
  • 批准号:
    499177-2016
  • 财政年份:
    2016
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Engage Grants Program
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了