CFD Simulation of Biomass Combustion in an Industrial Circulating Fluidized Bed Furnace

ABSTRACT

In this study, a three-dimensional computational fluid dynamics (CFD) model is employed to investigate the hydrodynamic and combustion characteristics of biomass particles in an industrial-scale circulating fluidized bed (CFB) furnace. The CFD model considered here is based on the Eulerian-Lagrangian framework, the multi-phase particle-in-cell (MP-PIC) collision model, the coarse grain method (CGM), and a recently developed distribution kernel method (DKM). The challenge of simulating industrial-scale CFB furnaces using CFD lies in the large number of particles in the system. MP-PIC and CGM showed that local particle overloading could occur, causing the numerical simulation to diverge. The combination of MP-PIC with CGM and DKM was shown to overcome this problem. The CFD predictions werecompared with onsite temperature experiments in the furnace, and the predicted furnace temperature agreed fairly well with the measured data. Using the CFD results, the study analyzed the transient solids mixing and fluidization characteristics, as well as the thermochemical process in biomass combustion. The simulated individual particle provided insight into the physical and chemical processes of the granular flow in the dilute/dense regions of the CFB furnace. The simulated results revealed the CO and NOx emission processes in the furnace.

KEYWORDS:

• Hydrodynamic
• combustion
• CFD simulation
• industrial-scale CFB
• formation and emission of pollutants

Acknowledgements

The authors would like to thank Kraftringen AB for supporting the detailed information on the CFB furnace. Miao Yang is sponsored by the China Scholarship Council (201808410350). The computations were performed on resources provided by the Swedish National Infrastructure for Computing (SNIC) at PDC (Beskow).

Disclosure statement

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Additional information

Funding

This work was supported by the Swedish Energy Agency (STEM) through KC-CECOST, project Nr [22538-4], and the Knut & Alice Wallenberg foundation (KAW COCALD project)

Notes on contributors

Miao Yang

Miao Yang Methodology, Investigation, Visualization, Writing-Original draft preparation.

Shenghui Zhong

shenghui Zhong Methodology, Investigation, Visualization

Shijie Xu

Shijie Xu & Leilei Xu Methodology, Visualization, Writing-Original draft preparation.

Leilei Xu

Peter Ottosson Investigation, Writing-Original draft preparation.

Peter Ottosson

Hesammedin Fatehi Methodology, Investigation, Writing-Original draft preparation.

Hesameddin Fatehi

Xue-Song Bai Funding acquisition, Writing-Reviewing and Editing, Resource, Supervision.