课题基金 / 基金详情

Optimal strategies for integrating waste-to-energy conversion with CO2 capture and utilization (CCU)

Optimal strategies for integrating waste-to-energy conversion with CO2 capture and utilization (CCU)
将废物转化为能源与二氧化碳捕获和利用 (CCU) 相结合的最佳策略
批准号:
RGPIN-2022-05049
负责人:
Khojasteh, Yaser
金额:
$1.89万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2022
资助国家:
加拿大
项目状态:
已结题
起止时间:
2022-01-01 至 2023-12-31

项目摘要

项目成果

Khojasteh, Yaser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
Utilizing CO2 as a commodity to produce value-added products is an intriguing option for industrial plants looking to reduce GHG emissions and help countries to meet their environmental commitments. However, there are significant challenges to such systems' economic performance and environmental benefits. These challenges are divided into three categories: 1) The carbon capture cost that can be comparable to the cost of CO2 conversion. It is necessary to develop alternative methods for reducing carbon capture energy consumption and cost. 2) Hydrogen production via electrolysis accounts for up to 70% of CCU production costs. Development of new strategies for lowering the cost of hydrogen is critical. 3) Competitiveness of the CCU products: Methanol is a well-known compound in CCU studies. However, its commercial viability would require a minimum selling price approximately three times current market prices (or the equivalent of a required carbon mitigation credit of $300-$700 per tonne of utilized CO2). As a result, it is critical to close this financial gap through the development of alternative chemicals and other products. The primary objective of this research program is to address these challenges through multiple research projects to design novel CCUS processes that are integrated with municipal solid waste (MSW) conversion and natural gas reforming. Three major stages comprise the proposed research program: 1. Novel CO2 capture technologies: We will focus on reducing energy consumption by designing a novel integrated stripping CO2 capture system. 2. Development of effective carbon-negative syngas production: Various technologies will be designed to reduce the cost and carbon footprint of syngas production, essential for many CCU products. The first approach is based on the development of effective MSW drying and gasification using microwave heating. The second approach involves developing three natural gas conversion technologies: 1) Electrified Tri-reforming and biogas reforming. 2) Electrified methane decomposition. 3) and Electrified reverse-water-gas shift reaction. Due to the scarcity of prior research on these concepts, a rigorous CFD simulation of the reactor will be conducted. Detail design using a three-dimensional modelling approach requires an in-depth numerical simulation technique that connects multiple Multiphysics disciplines, such as heat transfer, reaction, electromagnetics, and solid mechanics. Numerous heating methods will be investigated, including resistance, induction, and microwave. 3. Innovative CCU products: The development of an optimal configuration that comprises a wide range of CO2 products such as polymers, fuels, ethanol, DME, and fertilizers is the last stage of this research program. Viable options in order to maximize the synergies between MSW, CCU, and natural gas and to create the optimal product portfolio will be introduced.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Optimal strategies for integrating waste-to-energy conversion with CO2 capture and utilization (CCU)
  • 批准号:
    DGECR-2022-00074
  • 项目类别:
    Discovery Launch Supplement
  • 资助金额:
    $0.91万
  • 财政年份:
    2022
  • 负责人:
    Khojasteh, Yaser
  • 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
5'-tRF-GlyGCC通过SRSF1调控RNA可变剪切促三阴性乳腺癌作用机制及干预策略
  • 批准号:
    82372743
  • 项目类别:
    面上项目
  • 资助金额:
    49.00万元
  • 批准年份:
    2023
  • 负责人:
    陈卓佳
  • 依托单位:
放疗通过激活GSDMD诱发细胞焦亡促进肿瘤再增殖的机制研究及干预策略探讨
  • 批准号:
    82373299
  • 项目类别:
    面上项目
  • 资助金额:
    49.00万元
  • 批准年份:
    2023
  • 负责人:
    程进
  • 依托单位:
面向人工智能生成内容的风险识别与治理策略研究
  • 批准号:
    72304290
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    30.00万元
  • 批准年份:
    2023
  • 负责人:
    向安玲
  • 依托单位: