Numerical Investigation and Optimization of Pyrolysis Process: Effects of Viscous Models and Combustion Power on Fluid Dynamics and Heat Transfer

The combustion of pyrolysis oil in industrial gas turbines utilizing biofuel represents a renewable energy source that originates from biomass waste. This combustion process presents a viable alternative to fossil fuels in industrial applications, contributing to a decrease in carbon emissions and mitigating greenhouse gas effects. An analysis of thermal and hydrodynamic factors is essential for comprehending how different combustion capacities and pyrolysis geometries like length, width, and storage volume affect system performance. This study aims to investigate how different variations of the k-ω viscosity model (k-ω Standard, SST, GEKO, and BSL) affect the pyrolysis combustion process of a gas-fired industrial burner with capacities of 200 kW, 700 kW, and 1000 kW. Numerical studies employing computational fluid dynamics (CFD) were carried out to ascertain the optimal thermal and hydraulic performance. The findings indicate that the k-ω standard viscous model produces the most favorable outcomes, with SST, GEKO, and BSL following closely, evaluated on parameters including air flow rate, maximum wall temperature, coefficient of heat transfer, and Nusselt number. Therefore, the k-ω standard numerical model, which has a combustion capacity of 1000 kW, is applicable for the geometric calculations of various pyrolysis gas-fired industrial burners.

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Publication Details

Journal
E3S Web of Conferences
Published
2025-01-01
DOI
https://doi.org/10.1051/e3sconf/202564505004
Primary Topic
Thermochemical Biomass Conversion Processes
Type
article
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article

Numerical Investigation and Optimization of Pyrolysis Process: Effects of Viscous Models and Combustion Power on Fluid Dynamics and Heat Transfer

Ainur Berkinbayeva, Muhammad Nurtanto, Bernadeta Siti Rahayu Purwanti, Rouf Muhammad et al.
E3S Web of Conferences
Thermochemical Biomass Conversion Processes
article

Numerical Investigation and Optimization of Pyrolysis Process: Effects of Viscous Models and Combustion Power on Fluid Dynamics and Heat Transfer

Ainur Berkinbayeva, Muhammad Nurtanto, Bernadeta Siti Rahayu Purwanti, Rouf Muhammad, Hadi Nur, Ghani Putra Nuari, Muhamad Fajar Ramadhan
article en

Abstract

The combustion of pyrolysis oil in industrial gas turbines utilizing biofuel represents a renewable energy source that originates from biomass waste. This combustion process presents a viable alternative to fossil fuels in industrial applications, contributing to a decrease in carbon emissions and mitigating greenhouse gas effects. An analysis of thermal and hydrodynamic factors is essential for comprehending how different combustion capacities and pyrolysis geometries like length, width, and storage volume affect system performance. This study aims to investigate how different variations of the k-ω viscosity model (k-ω Standard, SST, GEKO, and BSL) affect the pyrolysis combustion process of a gas-fired industrial burner with capacities of 200 kW, 700 kW, and 1000 kW. Numerical studies employing computational fluid dynamics (CFD) were carried out to ascertain the optimal thermal and hydraulic performance. The findings indicate that the k-ω standard viscous model produces the most favorable outcomes, with SST, GEKO, and BSL following closely, evaluated on parameters including air flow rate, maximum wall temperature, coefficient of heat transfer, and Nusselt number. Therefore, the k-ω standard numerical model, which has a combustion capacity of 1000 kW, is applicable for the geometric calculations of various pyrolysis gas-fired industrial burners.

E3S Web of ConferencesVol. 645
Jakarta State Polytechnic (ID), State University of Jakarta (ID), Institute of Metallurgy (RU)
Openalex Percentile: Top 79%
Thermochemical Biomass Conversion Processes
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Numerical Investigation and Optimization of Pyrolysis Process: Effects of Viscous Models and Combustion Power on Fluid Dynamics and Heat Transfer — Ainur Berkinbayeva, Muhammad Nurtanto, et al. · E3S Web of Conferences (2025) | TGRS Research Map | TGRS