In recent years, due to the stringent emission regulations worldwide, alternative fuels, such as ammonia, liquified natural gas (LNG), and alcohols, are gaining attention as potential substitutes for traditional fossil fuels. These fuels can potentially reduce greenhouse gas emissions, improve air quality, and reduce dependence on imported oil. Ammonia is a clean-burning and promising hydrogen carrier fuel with a high energy density. However, its low reactivity restricts the application of ammonia in the transport sector, whereas adding methanol as a combustion promoter enhances the reactivity of ammonia. LNG is another low-carbon energy resource gaining popularity due to its lower emissions and cost-effectiveness compared to traditional fuels such as gasoline or diesel. Alcohols, specifically propanol and butanol, which can be synthesized by converting renewable electricity into chemical energy, have high octane rating, making them ideal for use in high-performance engines. Moreover, due to a high hydrogen-to-carbon ratio, they are more reactive and able to burn more completely, which makes them well-suited for lean premixed prevaporized (LPP) combustion. Developing chemical kinetic models for alternative fuels is essential for understanding their combustion characteristics and optimizing engine performance. This thesis aims to develop and validate chemical kinetic models to investigate the combustion chemistry of ammonia-methanol blends, LNG mixtures, and propanol and butanol isomers. However, since each fuel presents its own challenges, different approaches were employed. For ammonia-methanol blend mixtures, it is essential to find appropriate cross carbon-nitrogen reactions. For each neat fuel, one reaction mechanism that can predict ignition delay times (IDT) with the least discrepancy was chosen from the literature. Those mechanisms were used as the seed mechanism in the software Reaction Mechanism Generator (RMG) to automatically generate a kinetic mechanism for the auto-ignition of ammonia-methanol blend ...
Detailed kinetic modeling in the energy conversion processes of low-carbon alternative fuels ; Detaillierte kinetische Modellierung in den Energieumwandlungsprozessen von kohlenstoffarmen alternativen Kraftstoffen
2024-01-25
Theses
Electronic Resource
English
Detailed kinetic modeling in the energy conversion processes of low-carbon alternative fuels
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