科技报告详细信息
LES SOFTWARE FOR THE DESIGN OF LOW EMISSION COMBUSTION SYSTEMS FOR VISION 21 PLANTS
Cannon, Steve ; Zuo, Baifang ; Adumitroaie, Virgil ; McDaniel, Keith ; Smith, Cliff
National Energy Technology Laboratory (U.S.)
关键词: 99 General And Miscellaneous//Mathematics, Computing, And Information Science;    Computerized Simulation;    Fossil-Fuel Power Plants;    L Codes;    Air Pollution Abatement;   
DOI  :  10.2172/793322
RP-ID  :  FC26-00NT40975--04
RP-ID  :  FC26-00NT40975
RP-ID  :  793322
美国|英语
来源: UNT Digital Library
PDF
【 摘 要 】

Further development of a combustion Large Eddy Simulation (LES) code for the design of advanced gaseous combustion systems is described in this fifth quarterly report. CFD Research Corporation (CFDRC) is developing the LES module within the parallel, unstructured solver included in the commercial CFD-ACE+ software. In this quarter, in-situ adaptive tabulation (ISAT) for efficient chemical rate storage and retrieval was further tested in the LES code. The use of multiple trees and periodic tree dumping was investigated. Implementation of the Linear Eddy Model (LEM) for subgrid chemistry was finished for serial applications. Validation of the model on a backstep reacting case was performed. Initial calculations of the SimVal experiment were performed for various barrel lengths, equivalence ratio, combustor shapes, and turbulence models. The effects of these variables on combustion instability was studied. Georgia Tech continues the effort to parameterize the LEM over composition space so that a neural net can be used efficiently in the combustion LES code. Next quarter, the 2nd consortium meeting will be held at CFDRC. LES software development and testing will continue. Alpha testing of the code will be performed on cases of interest to the industrial consortium. Optimization of subgrid models will be pursued, particularly with the ISAT approach. Also next quarter, the demonstration of the neural net approach, for chemical kinetics speed-up in CFD-ACE+, should be accomplished.

【 预 览 】
附件列表
Files Size Format View
793322.pdf 2020KB PDF download
  文献评价指标  
  下载次数:5次 浏览次数:8次