Dynamic Adaptive Chemistry applied to homogeneous and partially stratified charge CI ethanol engines

Annarita Viggiano and Vinicio Magi

Applied Energy, 2014, vol. 113, issue C, 848-863

Abstract: The Dynamic Adaptive Chemistry (DAC) technique is extended in this work to multidimensional simulations of ethanol HCCI/PSCCI engines. Several DAC computations have been performed by using two kinetic reaction mechanisms of ethanol with different levels of detail, that include 57 species and 135 species, respectively. The specific choice of the DAC parameters, i.e. the set of search-initiating species and the tolerance value, has been carefully analyzed. The simulations show that very accurate results, in terms of pressure and heat release rate profiles and CO, CO2 and UHC emissions, are obtained with ethanol as the only species for the graph search both with the fuel uniformly distributed and by directly injecting liquid fuel in the combustion chamber. As regards NOx, specific attention has been addressed to the analysis of the NOx formation in order to correctly reproduce the paths that lead to NOx emissions for the different cases. The choice of ethanol–N2O as search-initiating set has given the best results with negligible errors with respect to the full mechanism. For the single-zone computations, the use of DAC provides a speed-up of the 135-species full mechanism more than 9, whereas, with respect to the 57-species mechanism, about 50% of the computational time is saved in the multidimensional simulations.

Keywords: Dynamic Adaptive Chemistry; Ethanol; HCCI/PSCCI engines; NOx emissions (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306261913006375
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:113:y:2014:i:c:p:848-863

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic

DOI: 10.1016/j.apenergy.2013.08.002

Access Statistics for this article

Applied Energy is currently edited by J. Yan

More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().