Quality Management of Inert Material During Fluidized Bed Combustion of Biomass

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Authors: Marta Wesolowska, Krystian Wiśniewski, Jarosław Krzywański, Wojciech Nowak, Agnieszka Kijo-Kleczkowska
Cited by: 1
References: 24

Abstract

Fluidized bed combustion of biomass requires maintaining stable properties of the inert bed material, which plays a key role in heat transfer, temperature stabilization and uniform fuel distribution in circulating fluidized bed (CFB) boilers. During long-term operation, quartz sand, i.e., the most commonly used inert material, undergoes physical and chemical degradation processes such as attrition, sintering and coating with alkali-rich ash, leading to changes in particle size distribution (PSD), deterioration of fluidization quality, temperature non-uniformities and an increased risk of bed agglomeration. This study analyzes quality management strategies for inert bed materials in biomass-fired CFB systems, with particular emphasis on the influence of PSD on boiler hydrodynamics and thermal behavior. Based on industrial operating data, sieve analyses and CFD simulations performed under representative operating conditions, a recommended mean particle diameter range of approximately 150-200 μm is identified as critical for maintaining stable circulation and uniform temperature fields. Numerical results demonstrate that deviations toward coarser bed materials significantly reduce solids circulation, promote segregation in the lower furnace region and lead to local temperature increases, thereby increasing agglomeration risk. The study further discusses practical approaches to bed material monitoring, regeneration and make-up management in relation to biomass type and ash characteristics. The results confirm that systematic control of inert bed material quality is an essential prerequisite for reliable, efficient and low-emission operation of biomass-fired CFB boilers.

Fields of Study & Subjects

Thermochemical Biomass Conversion Processes Granular flow and fluidized beds Food Drying and Modeling

Publication details

Journal / source
Materials
Publisher
MDPI AG
Volume
19
Issue
2
Pages
288–288
Publication date
10 January 2026
Language
EN