Abstract
The transition towards sustainable mobility encourages research into biofuels for use in internal combustion engines. For these alternative energy carriers, high-fidelity experimental data of flame speeds influenced by pressure, temperature, and air-fuel equivalence ratio under engine-relevant conditions are required to support the development of robust combustion models for spark-ignition engines. E.g., physicochemical-based approximation formulas adjusted to the fuel provide similar accuracy as high fidelity chemical kinetic model calculations at a fraction of the computational cost and can be easily adopted in engine simulation codes. In the present study, a workflow to enable predictive combustion engine modeling is applied first for a gasoline reference fuel and two biofuel blends recently proposed by Dahmen and Marquardt [Energy Fuels, 2017]. They identified one promising high-octane rating biofuel blend, expected to be optimized for SI combustion engines, and one promising low carbon high energy density blend with an optimized production pathway. The first blend consists of ethanol, 2-butanone, cyclopentane, and cyclopentanone, and the second blend consists of 1-butanol, ethanol, and cyclopentane. In the present study, the reference fuel RON95 E10 and both biofuel blends were experimentally examined for their flame speed in RWTH-ITV's closed combustion chamber at 423 K and 2.5 bar, with equivalence ratios (φ) ranging from 0.8 to 1.3. Then, pressure (1 atm and 5 bar) and temperature variations (398 K and 450 K) were conducted for the blends at φ = 1.1. Due to its good agreement with the experimental results, a detailed kinetic mechanism was selected and used for comprehensive flame speed calculations at engine conditions. The approximation formula was parametrized in the next step, showing good agreement with the detailed calculations. Finally, the flame speed model is adopted for engine simulations, and the 0-2% burn duration of gasoline is used as a benchmark against engine data, showing the improved predictability of the newly derived approximation compared to a standard correlation. The biofuels' burn durations indicate slight improvements due to higher flame speeds.
Original language | English |
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Article number | 2022-24-0032 |
Number of pages | 20 |
Journal | SAE International Journal of Advances and Current Practices in Mobility |
DOIs | |
Publication status | Published - 16 Sept 2022 |
Event | SAE 2022 3rd Conference on Sustainable Mobility, CSM 2022 - Catania, Italy Duration: 25 Sept 2022 → 28 Sept 2022 |
Funding
The authors gratefully acknowledge the financial support provided by the Research Association for Combustion Engines e. V. under the project “Engine Knock Model” with project number 1313 and the Fuel Science Center, funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy - Exzellenzcluster 2186 “The Fuel Science Center” ID: 390919832. The authors thank FORD Werke GmbH for providing the research engine used for engine experiments.
ASJC Scopus subject areas
- Automotive Engineering
- Safety, Risk, Reliability and Quality
- Pollution
- Industrial and Manufacturing Engineering