A systematic investigation of the overall rate coefficient in the Wheeler–Jonas equation for adsorption on dry activated carbons

• Published in: Carbon (New York) 2005, Vol.43 (3), p.481-490
• Main Authors: Wu, Jufang, Claesson, Ola, Fangmark, Ingrid, Hammarstrom, Lars-Gunnar
• Format: Article
• Language: English
• Subjects: A. Activated carbon; activated carbon; Adsorbents; adsorption; adsorption properties; C. Adsorption, Modeling; Chemistry; Cross-disciplinary physics: materials science; rheology; D. Adsorption properties; Exact sciences and technology; Fullerenes and related materials; diamonds, graphite; General and physical chemistry; Materials science; modeling; Physics; Specific materials; Surface physical chemistry; Transport properties
• ISSN: 0008-6223; 1873-3891; 1873-3891
• DOI: 10.1016/j.carbon.2004.09.024

Modelling of the adsorption rate coefficient, k v of the Wheeler–Jonas equation for estimating the service life of packed carbon beds, is addressed. Current methods for extracting k v from experimental breakthrough data include approaches that introduce easily propagated errors. The weaknesses of these approaches are analyzed, and a calculation based on multiple points on the breakthrough curve is suggested. Experimental breakthrough data for a representative set of volatile organic compounds (VOCs) has been measured. A systematic investigation of factors influencing k v, including adsorbate and carbon properties, adsorbate inlet concentration and flow velocity is performed. It is found that flow velocity and carbon particle size have the largest influence, followed by adsorbate properties related to the adsorption capacity. A simple linear empirical model for k v, including air flow velocity, carbon particle size, and dielectric constant of the adsorbate, is presented. The model is based on the breakthrough range up to 20% of the inlet concentration, for which k v is shown to be almost constant. The range of the model covers breathing rates valid for a respirator at different work loads. The model can be used to estimate the adsorption rate coefficient for specific carbon particle sizes and various VOCs present in workplace environments.