Prediction of NOx emissions from a simplified biodiesel surrogate by applying stochastic simulation algorithms (SSA)

A stochastic simulation algorithm (SSA) approach is implemented with the components of a simplified biodiesel surrogate to predict NOx (NO and NO 2 ) emission concentrations from the combustion of biodiesel. The main reaction pathways were obtained by simplifying the previously derived skeletal mech...

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Bibliographic Details
Published in:	Combustion theory and modelling Vol. 21; no. 2; pp. 346 - 357
Main Authors:	Omidvarborna, Hamid, Kumar, Ashok, Kim, Dong-Shik
Format:	Journal Article
Language:	English
Published:	Abingdon Taylor & Francis 04.03.2017 Taylor & Francis Ltd
Subjects:	Algorithms Biodiesel Biodiesel fuels biodiesel surrogate chemical kinetic reaction Combustion Combustion temperature Complexity Computer simulation Cooking Diesel fuels Emission Emissions Esters Heating low-temperature combustion (LTC) Mathematical models Mean square values Nitrogen dioxide Nitrogen oxides NOx emission Predictions Probability theory Randomness Root-mean-square errors Simplification stochastic simulation algorithm (SSA) Sulfur
ISSN:	1364-7830, 1741-3559
Online Access:	Get full text
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