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  Analysis of the dynamic characteristics of combustion instabilities in a pre-mixed lean-burn natural gas engine

Yang, L.-P., Song, E.-Z., Ding, S.-L., Brown, R. J., Marwan, N., Ma, X.-Z. (2016): Analysis of the dynamic characteristics of combustion instabilities in a pre-mixed lean-burn natural gas engine. - Applied Energy, 183, 746-759.
https://doi.org/10.1016/j.apenergy.2016.09.037

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Yang, L.-P.1, Author
Song, E.-Z.1, Author
Ding, S.-L.1, Author
Brown, R. J.1, Author
Marwan, Norbert2, Author              
Ma, X.-Z.1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: The cyclic combustion instabilities in a pre-mixed lean-burn natural gas engine have been studied. Using non-linear embedding theory, recurrence plots (RPs) and recurrence qualification analysis (RQA), the hidden rhythms and dynamic complexity of a combustion system in high dimensional phase space for each gas injection timing (GIT) have been examined, and the possible source of combustion instabilities has been identified based on 3-D computational fluid dynamics (CFD) simulation. The results reveal that for lower engine load, with the decrease of mixture concentration, the combustion instability and complexity of combustion system become more sensitive to the variation of GITs. Richer mixture and earlier (GIT < 30°CA ATDC) or delayed (GIT > 90°CA ATDC) gas injection will lead to more stable combustion, regular oscillatory and low complexity of combustion system, while leaner mixture together with the medium GITs (from 30 to 90°CA ATDC) easily leads to increase of combustion fluctuations, time irreversibility and dynamic complexity of combustion system. When GITs are changed, the combustion instabilities of pre-mixed lean-burn natural gas engines are from in-cylinder unreasonable stratification of mixture concentration and turbulent motion.

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 Dates: 2016
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.apenergy.2016.09.037
PIKDOMAIN: Transdisciplinary Concepts & Methods - Research Domain IV
eDoc: 7301
Research topic keyword: Nonlinear Dynamics
Model / method: Nonlinear Data Analysis
Organisational keyword: RD4 - Complexity Science
Working Group: Development of advanced time series analysis techniques
 Degree: -

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Title: Applied Energy
Source Genre: Journal, SCI, Scopus, p3
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Pages: - Volume / Issue: 183 Sequence Number: - Start / End Page: 746 - 759 Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/0910