Predictive Computational Tools for Biomass Fast Pyrolysis in Fluidized Bed Reactors using Particle-Resolved Direct Numerical Simulation of Reacting Gas-Solid Flow
使用反应气固流的粒子分辨直接数值模拟实现流化床反应器中生物质快速热解的预测计算工具
基本信息
- 批准号:1336941
- 负责人:
- 金额:$ 26万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2013
- 资助国家:美国
- 起止时间:2013-09-01 至 2018-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
1336941SubramaniamThe importance of sustainable energy generation from renewable sources that minimizes environmental impact is now globally recognized, and is a national priority. This project focuses on fundamental scientific understanding of reacting gas-solid flows that is needed to overcome technological barriers for the successful development of one such renewable energy source, namely, the production of biofuels. Predictive computational models of biomass fast pyrolysis are needed for large-scale production of biofuel using fluidized-bed reactors. State-of-the-art computational codes for fluidized-bed reactors use simplistic models for average reaction rates as well as heat and mass transfer correlations developed in the late 1970s, which recent research reveals are problematic. To address this shortcoming, high-fidelity direct numerical simulations will be used in this project to gain fundamental understanding of reacting gas-solid flow. This fundamental understanding will result in physics-based models that will be implemented into a popular open-source multi-fluid code MFIX. The improved and validated model for reacting gas-solid flow can be used by industry to evaluate and optimize fluidized-bed reactors for fast pyrolysis of biomass. These improvements will also result in more accurate simulation of fluidized beds for chemical looping combustion and CO2 capture using dry sorbents. The PI has coordinated a successful recruitment and retention program entitled Women in Mechanical Engineering, and both PIs will continue ongoing efforts to train graduate and undergraduate women and minority students as part of this research project.
1336941Subramaniam利用可再生能源进行可持续能源发电,将对环境的影响降至最低,这一重要性现已得到全球认可,并已成为国家优先事项。该项目侧重于对反应气固流动的基本科学理解,这是克服成功开发一种这种可再生能源的技术障碍所必需的,即生产生物燃料。利用沸腾床反应器大规模生产生物燃料,需要建立生物质快速热解预测计算模型。最先进的沸腾床反应器的计算代码使用的是20世纪70年代末开发的平均反应速率以及热量和质量传递关联式的简化模型,最近的研究表明这是有问题的。为了解决这一缺点,本项目将使用高保真直接数值模拟,以获得对反应气固两相流动的基本了解。这种基本的理解将导致基于物理的模型,这些模型将被实施到流行的开源多流体代码MFIX中。改进和验证的气固两相反应模型可用于工业评价和优化生物质快速热解的沸腾床反应器。这些改进还将导致更准确地模拟使用干式吸着剂的化学循环燃烧和二氧化碳捕集的流态化床。作为这一研究项目的一部分,两家私人投资机构将继续努力培训研究生和本科生以及少数族裔学生。
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)
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Shankar Subramaniam其他文献
Computational models for the prediction of yields in the autothermal pyrolysis of biomass
用于预测生物质自热裂解产量的计算模型
- DOI:
10.1016/j.ces.2025.121599 - 发表时间:
2025-06-01 - 期刊:
- 影响因子:4.300
- 作者:
Barlev R. Nagawkar;Shankar Subramaniam;Robert C. Brown;Alberto Passalacqua - 通讯作者:
Alberto Passalacqua
2 Probabilistic Brain Atlases of Normal and Diseased Populations
2 正常人和患病人群的概率脑图谱
- DOI:
- 发表时间:
2003 - 期刊:
- 影响因子:0
- 作者:
A. Toga;P. Thompson;K. Narr;E. Sowell;S. H. Koslow;Shankar Subramaniam;Rm - 通讯作者:
Rm
System vaccinology analysis of predictors and mechanisms of antibody response durability to multiple vaccines in humans
对人类对多种疫苗的抗体反应持久性的预测因子和机制的系统疫苗学分析
- DOI:
10.1038/s41590-024-02036-z - 发表时间:
2025-01-02 - 期刊:
- 影响因子:27.600
- 作者:
Mario Cortese;Thomas Hagan;Nadine Rouphael;Sheng-Yang Wu;Xia Xie;Dmitri Kazmin;Florian Wimmers;Shakti Gupta;Robbert van der Most;Margherita Coccia;Prabhu S. Aranuchalam;Helder I. Nakaya;Yating Wang;Elizabeth Coyle;Shu Horiuchi;Hanchih Wu;Mary Bower;Aneesh Mehta;Clifford Gunthel;Steve E. Bosinger;Yuri Kotliarov;Foo Cheung;Pamela L. Schwartzberg;Ronald N. Germain;John Tsang;Shuzhao Li;Randy Albrecht;Hideki Ueno;Shankar Subramaniam;Mark J. Mulligan;Surender Khurana;Hana Golding;Bali Pulendran - 通讯作者:
Bali Pulendran
On the apparent particle dispersion in granular media
- DOI:
10.1016/j.apt.2010.10.010 - 发表时间:
2011-11-01 - 期刊:
- 影响因子:
- 作者:
Zhaohui Qin;Rodney Fox;Shankar Subramaniam;Richard Pletcher;Lei Zhang - 通讯作者:
Lei Zhang
Generation of ‘semi-guided’ cortical organoids with complex neural oscillations
具有复杂神经振荡的“半引导”皮质类器官的生成
- DOI:
10.1038/s41596-024-00994-0 - 发表时间:
2024-05-03 - 期刊:
- 影响因子:16.000
- 作者:
Michael Q. Fitzgerald;Tiffany Chu;Francesca Puppo;Rebeca Blanch;Miguel Chillón;Shankar Subramaniam;Alysson R. Muotri - 通讯作者:
Alysson R. Muotri
Shankar Subramaniam的其他文献
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{{ truncateString('Shankar Subramaniam', 18)}}的其他基金
CDS&E: Collaborative Research: CDS&E: Advances in closure modeling for turbulent flows with finite-sized particles informed by massive simulations on heterogeneous architec
CDS
- 批准号:
1953298 - 财政年份:2020
- 资助金额:
$ 26万 - 项目类别:
Standard Grant
Collaborative Research: Bridging the gap between particle-scale thermal transport and device-scale predictions
合作研究:弥合颗粒尺度热传输和设备尺度预测之间的差距
- 批准号:
1905017 - 财政年份:2019
- 资助金额:
$ 26万 - 项目类别:
Standard Grant
Stability Limits for Gas-Solid Suspensions with Finite Fluid Inertia using Particle-Resolved Direct Numerical Simulations
使用粒子分辨直接数值模拟确定具有有限流体惯性的气固悬浮液的稳定性极限
- 批准号:
1134500 - 财政年份:2011
- 资助金额:
$ 26万 - 项目类别:
Standard Grant
Multiphase Models for CO2 Cleanup: Heat and Mass Transfer in Fluid-Particle Suspensions through Direct Numerical Simulation and Laser-Based Measurements
二氧化碳净化的多相模型:通过直接数值模拟和基于激光的测量来研究流体颗粒悬浮液中的传热和传质
- 批准号:
1034307 - 财政年份:2010
- 资助金额:
$ 26万 - 项目类别:
Standard Grant
CDI-Type II: Hierarchiacal Modularity in Evolution and Function
CDI-Type II:进化和功能的层次模块化
- 批准号:
0835541 - 财政年份:2008
- 资助金额:
$ 26万 - 项目类别:
Standard Grant
Biology Workbench: A web-based infrastructure for databases, tools and interfaces in biology
Biology Workbench:基于网络的生物学数据库、工具和界面基础设施
- 批准号:
0003231 - 财政年份:2000
- 资助金额:
$ 26万 - 项目类别:
Continuing Grant
Computer Simulations of Molecular Recognition in Antibody- Protein Association
抗体-蛋白质关联中分子识别的计算机模拟
- 批准号:
9604223 - 财政年份:1997
- 资助金额:
$ 26万 - 项目类别:
Standard Grant
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