Affiliations 

  • 1 Department of Environment and Energy, Jeonbuk National University, 567, Baekje-daero, Jeonju-si, Jeollabuk-do, 54896, South Korea
  • 2 Institute for Materials and Processes, School of Engineering, The University of Edinburgh, Robert Stevenson Road, Edinburgh, EH9 3FB, UK
  • 3 Department of Chemical Engineering, Khalifa University, P.O. Box 127788, Abu Dhabi, United Arab Emirates; Department of Chemical and Environmental Engineering, University of Nottingham, Malaysia, 43500, Semenyih, Selangor Darul Ehsan, Malaysia
  • 4 Department of Environment and Energy, Jeonbuk National University, 567, Baekje-daero, Jeonju-si, Jeollabuk-do, 54896, South Korea; Research Institute for Energy and Mineral Resources Development, Jeonbuk National University, 567, Baekje-daero, Jeonju-si, Jeollabuk-do, 54896, South Korea. Electronic address: donald@jbnu.ac.kr
Environ Res, 2024 Dec 15;263(Pt 1):119982.
PMID: 39270960 DOI: 10.1016/j.envres.2024.119982

Abstract

Oxy-fuel circulating fluidized bed combustion is known as one of the most potent fuel combustion technologies that capture ultra-low greenhouse gases and pollutant emissions. While many investigations have been conducted for carbon capturing, the associated in-situ desulfurization process using calcium-based sorbents should also be underlined. This paper critically reviews the effects of changes in the operating environment on in-situ desulfurization processes compared to conventional air combustion. A comprehensive understanding of the process, encompassing hydrodynamic, physical and chemical aspects can be a guideline for designing the oxy-fuel combustion process with effective sulfur removal, potentially eliminating the need of a flue gas desulfurization unit. Results from thermogravimetric analyzers and morphological changes of calcium-based materials were presented to offer an insight into the sulfation mechanisms involved in the oxy-fuel circulating fluidized beds. Recently findings suggested that in-situ direct desulfurization is influenced not only by the desulfurization kinetics but also by the fluidization characteristics of calcium-based materials. Therefore, a complex reaction analysis that incorporated oxy-combustion reactions, computational fluid dynamics modeling, in-situ desulfurization reaction models and particle behavior can provide a thorough understanding of desulfurization processes across the reactor. Meanwhile, machine learning as a robust tool to predict desulfurization efficiency and improve operational flexibility should be applied with consideration of environmental improvement and economic feasibility.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.