Jaber Shabanian, Pierre Sauriol, Navid Mostoufi, and Jamal Chaouki has recently published a research article in the Powder Technology. The performance of different approaches for the early detection of defluidization in a high temperature bubbling gas-solid fluidized bed and their robustness with respect to the changes in superficial gas velocity, operating temperature, and bed inventory were compared in this study. The results showed that the novel approach proposed by Shabanian et al. 2015 (Procedia Eng. 102 (2015) 1006-1015), which employs the idea of simultaneous monitoring of temperature and in-bed differential pressure signals, with the detection thresholds introduced by Shabanian et al. 2017 (Chem. Eng. J. 133 (2017) 144-156) provides the best performance.
Abstract of the article is provided below:
Identifying the onset of an agglomeration phenomenon at an early stage in processes utilizing gas-solid fluidized beds that operate under the influence of cohesive interparticle forces affords enough time to apply counteractive strategies and avoid a disastrous agglomeration of particles potentially leading to complete bed defluidization. In this paper, we compare the performance of different leading approaches proposed in the open literature for the advanced detection of defluidization. The approaches include the single-signal-monitoring of evolutions of total bed pressure drop, standard deviation of pressure signals, or -value from the attractor comparison analysis as well as the simultaneous-monitoring of temperature and in-bed differential pressure signals during the process. The results show that the simultaneous-monitoring of temperature and in-bed differential pressure signals provided the best prediction of the onset of agglomeration while it demonstrated the least sensitivity to the changes in gas velocity, operating temperature, and bed inventory.