| 项目编号: | 1638837
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| 项目名称: | EAGER: Establishing a novel computational framework to investigate the role of chemical kinetics in chemical looping combustion |
| 作者: | Perrine Pepiot
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| 承担单位: | Cornell University
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| 批准年: | 2016
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| 开始日期: | 2016-06-01
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| 结束日期: | 2018-05-31
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| 资助金额: | 79977
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| 资助来源: | US-NSF
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| 项目类别: | Standard Grant
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| 国家: | US
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| 语种: | 英语
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| 特色学科分类: | Engineering - Chemical, Bioengineering, Environmental, and Transport Systems
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| 英文关键词: | chemical process
; chemical phenomenon
; chemical-looping combustion
; chemical description
; clc
; novel computational framework
; many combustion-related area
; clc system
; project
; detailed chemical kinetics
; oxygen carrier
; novel lagrange-euler computational framework
; actual combustion process
; eager project
; combustion technology
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| 英文摘要: | 1638837 - Pepiot
To limit the environmental impact of fossil fuel usage, especially in terms of greenhouse gas emissions, a rapid development and deployment of cleaner combustion technologies is urgently needed. Chemical-Looping Combustion (CLC) has been identified as a promising technology for combined power generation and carbon capture, a key concept in limiting, and eventually decreasing green-house gas emissions from a wide variety of fuels, including coal or biomass. Computational simulations are widely and successfully used in many combustion-related areas. Yet, research and development for CLC technologies is disproportionately empirical in nature, due to a critical lack of reliable models to describe the complex hydrodynamics and chemical processes occurring in CLC. The main activity undertaken in this project is the development of a novel computational framework tailored for CLC applications, which will provide unprecedented insight into the controlling physical and chemical phenomena occurring during combustion. This work will eventually enable the formulation of high-fidelity Computational Fluid Dynamics (CFD) models and software to assist industry with the design of efficient CLC reactors. The project will provide educational project opportunities combining advanced computational techniques and a clear societal impact. Such projects have the potential to attract a diverse undergraduate student population toward Computational Science and Engineering, an area in which women and other URM are woefully under-represented
The proposed EAGER project aims at establishing a novel Lagrange-Euler computational framework to investigate key processes in CLC at the meso- and lab-scale. Two reactors typically involved in a CLC system will be considered, namely, an air-reactor, where the oxygen carrier is regenerated through oxidation with an air stream, and a fuel reactor, where the actual combustion process takes place through oxidation of the fuel by the oxygen carrier. The specific objectives of this project are: (1) Demonstrating the potential of a Lagrange-Euler approach to simulate the specific gas-solid hydrodynamics relevant for CLC systems, including high-velocity risers and bubbling fluidized beds; (2) Within this framework, developing novel algorithms to capture the specific and complex interactions between metal oxides and surrounding gases in the high temperature environments relevant to CLC; and (3) Demonstrating the need to include detailed chemical kinetics and associated small-scale heat and mass transfer processes to adequately capture the specificities and performance of oxygen carriers in CLC systems. This will be accomplished by assessing the sensitivities of CLC to the level of details of the chemical description included in CFD. Preliminary simulations will consider simple gaseous fuel oxidation by common, well-characterized metal oxides. The unprecedented preliminary data and observations obtained through this work will allow to identify with confidence future research directions to significantly improve CFD tools for CLC design and optimization. |
| 资源类型: | 项目
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/92256
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| Appears in Collections: | 全球变化的国际研究计划
科学计划与规划
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| Recommended Citation: | |
Perrine Pepiot. EAGER: Establishing a novel computational framework to investigate the role of chemical kinetics in chemical looping combustion. 2016-01-01.
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