HYGAS · Predictive tools for turbulent combustion of hydrogen-enriched natural gas through carefully reduced kinetic mechanisms

Predictive tools for turbulent combustion of hydrogen-enriched natural gas through carefully reduced kinetic mechanisms

The growing crisis of environmental degradation necessitates the demand for alternative fuels. Hydrogen is seen as a promising energy carrier in the future energy landscape. However, the transition to a full hydrogen economy will be lengthy and requires significant R&D. Natural gas is seen as the transition fuel for hydrogen. Particularly, Hydrogen and Natural Gas (HyGAS) integration is regarded as a bridging technology to ease the transition towards a deep decarbonization. Injecting hydrogen into the natural gas network can contribute significantly to solving the problem of transporting and storing surplus electricity generated from renewable resources . The promising solution of Power-to-Gas (P2G) plants can convert locally generated electricity from wind and solar into hydrogen , which will be fed directly into gas distribution grids within permissible limits and be used by the customers to reduce carbon dioxide (CO2) emissions from household appliances and industrial processes . Besides the foreseeable advantage of reduction in CO2 emission, hydrogen enrichment is also a useful way to significantly enhance the combustion and flame dynamics by overcoming the drawbacks of natural gas such as local flame extinction, combustion instability and lower power output . HyGAS was proposed against the above background with the aim to develop and validate a robust CFD based predictive tool for hydrogen-enriched natural gas with adequate chemistry. The specific research objectives include: ⁃ Improve detailed kinetic mechanism HP-Mech for hydrogen-enriched natural gas and validate the mechanism with available laminar flame speed, ignition delay time, and species profile, etc. in the ER’s work and literature; ⁃ Develop reduced kinetic mechanism using the PFA method and perform validations through comparison with the predictions of the detailed mechanism and the available experimental data; ⁃ Conduct CFD simulations using the newly developed reduced mechanism for small scale scenarios where test data are available for validation; ⁃ Extend CFD simulations to medium and large-scale scenarios for validation as well as applications.

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