Development of a Reduced Chemical Kinetic Mechanism for the Combustion of Polyoxymethylene Dimethyl Ethers (PODEn, <i>n</i> = 0–3)

ABSTRACT Polyoxymethylene dimethyl ethers () have emerged as a promising candidate for reducing fossil fuel derived carbon emissions in diesel engines due to their high cetane numbers, oxygen‐rich molecular structures, and minimal soot formation. An accurate kinetic description of their oxidation chemistry is essential for evaluating their performance as clean fuels and as intermediates in the combustion of higher . In this study, a reduced kinetic mechanism for dimethyl ether (DME) and PODE 1–3 is developed based on a newly constructed detailed mechanism. The reduced mechanism comprises 37 species and 280 reactions, achieving a balance between compactness and predictive accuracy. Comprehensive validation is performed against experimental data from the literature, including laminar burning velocities, species profiles, and ignition delay times, complemented by sensitivity analyses. The model shows good agreement with experimental observations over a wide range of conditions, demonstrating its suitability as a computationally efficient predictive framework for DME/PODE 1–3 combustion applications. In addition, pathway and sensitivity analyses confirm that the reduced mechanism retains the dominant oxidation pathways and key controlling reactions of the detailed base mechanism, thereby providing mechanistic insights into the oxidation chemistry of DME and PODE 1–3 .

Authors

Institutions

Publication Details

Journal
International Journal of Chemical Kinetics
Published
2026-06-25
DOI
https://doi.org/10.1002/kin.70106
Primary Topic
Advanced Combustion Engine Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development of a Reduced Chemical Kinetic Mechanism for the Combustion of Polyoxymethylene Dimethyl Ethers (PODEn, n = 0–3)

Fekadu Mosisa Wako, W. K. Bushe
International Journal of Chemical Kinetics
Advanced Combustion Engine Technologies
article

Development of a Reduced Chemical Kinetic Mechanism for the Combustion of Polyoxymethylene Dimethyl Ethers (PODEn, n = 0–3)

Fekadu Mosisa Wako, W. K. Bushe
article en

Abstract

ABSTRACT Polyoxymethylene dimethyl ethers () have emerged as a promising candidate for reducing fossil fuel derived carbon emissions in diesel engines due to their high cetane numbers, oxygen‐rich molecular structures, and minimal soot formation. An accurate kinetic description of their oxidation chemistry is essential for evaluating their performance as clean fuels and as intermediates in the combustion of higher . In this study, a reduced kinetic mechanism for dimethyl ether (DME) and PODE 1–3 is developed based on a newly constructed detailed mechanism. The reduced mechanism comprises 37 species and 280 reactions, achieving a balance between compactness and predictive accuracy. Comprehensive validation is performed against experimental data from the literature, including laminar burning velocities, species profiles, and ignition delay times, complemented by sensitivity analyses. The model shows good agreement with experimental observations over a wide range of conditions, demonstrating its suitability as a computationally efficient predictive framework for DME/PODE 1–3 combustion applications. In addition, pathway and sensitivity analyses confirm that the reduced mechanism retains the dominant oxidation pathways and key controlling reactions of the detailed base mechanism, thereby providing mechanistic insights into the oxidation chemistry of DME and PODE 1–3 .

International Journal of Chemical Kinetics
University of British Columbia (CA)
Responsible consumption and production
Openalex Percentile: Top 13%
Advanced Combustion Engine Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.