Abstract
Wet scrubbers are most important air pollution control devices used in many chemical process industries to remove particulate and acid gases from off gases. Plate scrubbers are medium level energy scrubbers, simple in design and they can be used for the removal of acid gases from the exhaust gas streams which are being released into the environment from various chemical industries. The primary particle removal mechanisms in scrubbing systems are well known where as the actual mechanism which is occurring exactly in the dual-flow sieve plate system is not yet discovered. It is most important to predict the particulate removal capacity of the system to select air pollution control device. Therefore, theoretical estimation of the column efficiency with the model is essential. This paper tries to predict the three stage dual-flow sieve plate column scrubber efficiency theoretically for 1-10 µm range fly ash particles. Dual-flow sieve plate column scrubber particle removal characteristics are analyzed by observing the gas flow rate, liquid flow rate and size of particle effects on overall efficiency. By using the concepts of diffusion, impaction and interception, the particle removal mechanism is analyzed theoretically. A mathematical model has also been suggested to predict the particulate removal efficiency in the dual-flow sieve plate column. More than 100 % removal efficiency is observed for more than 3.5 µm particle size.
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Acknowledgments
The authors would like to acknowledge the Department of Science and Technology (DST), Government of India(GOI) and Indian Institute of Technology (IIT) Kharagpur, India for their financial and technical support (sanction No: DST/INT/SA/P-14/2011) of this research.
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Kurella, S., Bhukya, P.K., Meikap, B.C. (2016). Mathematical Modelling on Particulate Removal in Multistage Dual-flow Sieve Plate Column Wet Scrubber. In: Regupathi, I., Shetty K, V., Thanabalan, M. (eds) Recent Advances in Chemical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-10-1633-2_26
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DOI: https://doi.org/10.1007/978-981-10-1633-2_26
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