Shock tube investigation of high-temperature, extremely-rich oxidation of several co-optima biofuels for spark-ignition engines

To reduce the reliance on fossil fuels in the transportation sector and increase combustion efficiency, the Co-Optima initiative from US Department of Energy identified the top 10 biofuels for downsized, boosted, spark-ignition engines. Most of these biofuels have detailed reaction mechanisms available in literature developed based on studies at temperatures lower than 1700 K and an equivalence ratio of less than five. As such, the performance of these detailed mechanisms at high temperature and extremely rich conditions are unknown. It is important to validate kinetic mechanisms at these conditions because they are conducive to soot formation. Prediction of soot by chemical kinetic models relies on the prediction of underlying benchmark species like carbon monoxide and ethylene. In this work, we conduct high temperature (1700-2050 K) and high equivalence ratio(cb= 8.6) oxidation of these biofuels, namely 2,4,4-trimethyl-1-pentene (alpha-diisobutylene), ethanol, cyclopentanone, methyl acetate, and 2-methylfuran, blended in ethylene behind reflected shock waves at 4-4.7 atm pressure. Carbon monoxide and ethylene time histories are measured simultaneously using a continuous feedback quantum cascade laser near 4.9 mu m and a tunable CO2 gas laser at 10.532 nm, respectively. Results show that ethanol blend forms more carbon monoxide than other biofuels and consumes ethylene faster than the biofuel blends in the temperature range considered. The performance of different mechanisms in literature are evaluated against the experimental results. The novel reaction mechanism 'the Co-Optima model', which includes the sub mechanisms for all the biofuels in this study, was found to be the best mechanism for the experimental conditions studied. (c) 2021 The Combustion Institute. Published by Elsevier Inc. All rights reserved.

Automated summary

The study investigates the reaction kinetics of biofuels under high temperature and high equivalence ratio conditions. Ethanol blend was found to produce more carbon monoxide and consume ethylene faster compared to other biofuel blends in the temperature range considered. The Co-Optima model was identified as the best mechanism for the experimental conditions studied.