Computational Modeling of Premixed Flames and Biomass Particle Conversion

SNIC 2017/1-648


SNAC Medium

Principal Investigator:

Florian Schmidt


Umeå universitet

Start Date:


End Date:


Primary Classification:

20702: Energy Systems

Secondary Classification:

20304: Energy Engineering

Tertiary Classification:

10399: Other Physics Topics



The present project is focused on computational fluid dynamics (CFD) modeling and visualization of premixed flames in flat-flame gas burners and on time–resolved numerical simulations of thermochemical conversion of biomass, with focus on the release of potassium (K) during combustion and gasification of solid fuel particles. Alkali compounds released from biomass particles during combustion or gasification are precursors for ash formation and can cause slagging and agglomeration and, consequently, damage energy production systems. The results are compared to experimental data obtained with laser spectroscopy. The aim is to facilitate the interpretation and validation of the experimental results and to improve existing predictive models. This is a continuation of the ongoing project SNIC 2015/1-478. We will perform one-dimensional and two-dimensional/axisymmetric simulations, both steady and unsteady, of reacting flow in combustion environments with complex chemistry. The numerical studies will be focused on the properties of flames and processes that are studied in Applied Laser Spectroscopy group, TFE [1-4]. We will extensively use detailed and skeletal chemical kinetics mechanisms that have been developed for gas-phase combustion, including reaction sets for ash-forming compounds. References: [1] Z. Qu, R. Ghorbani, D. Valiev, and F. M. Schmidt, Calibration-free scanned wavelength modulation spectroscopy – application to H2O and temperature sensing in flames, Optics Express, Volume 23, Issue 12, pp. 16492 - 16499 (2015) [2] Z. Qu, E. Steinvall, R. Ghorbani, F. M. Schmidt, Tunable diode laser atomic absorption spectroscopy for detection of potassium under optically thick conditions, Anal. Chem. 88, 3754–3760 (2016) [3] A. Sepman, Y. Ögren, Z. Qu, H. Wiinikka, F. M. Schmidt, Real-time in situ multi-parameter TDLAS sensing in the reactor core of an entrained-flow biomass gasifier, Proceedings of the Combustion Institute 36, 4541-4548 (2017) [4] Z. Qu, P. Holmgren, N. Skoglund, D. R. Wagner, M. Broström, F. M. Schmidt, Distribution of temperature, H2O and atomic potassium during entrained flow biomass combustion – Coupling in situ TDLAS with modeling approaches and ash chemistry, Combustion and Flame 188, 488-497 (2018)