Deep neural network-based optimal selection and blending ratio of waste seashells as an alternative to high-grade limestone depletion for SOX capture and utilization-Reference-Cited by-同舟云学术

Deep neural network-based optimal selection and blending ratio of waste seashells as an alternative to high-grade limestone depletion for SOX capture and utilization

Published:2022-03 Issue: Volume:431 Page:133244
ISSN:1385-8947
Container-title:Chemical Engineering Journal
language:en
Short-container-title:Chemical Engineering Journal

Author:

Lim Jonghun,Jeong Soohwan,Kim Junghwan

Funder

Korea Institute of Industrial Technology

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,Environmental Chemistry,General Chemistry

Reference46 articles.

1. A numerical modelling study of SO2 adsorption on activated carbons with new rate equations;Li;Chem. Eng. J.,2018

2. N2 plasma treatment on activated carbon fibers for toxic gas removal: Mechanism study by electrochemical investigation;Bai;Chem. Eng. J.,2016

3. Investigation on the removal of SO3 in ammonia-based WFGD system;Huang;Chem. Eng. J.,2016

4. Optimization of wet flue gas desulfurization system using recycled waste oyster shell as high-grade limestone substitutes;Lim;J. Clean. Prod.,2021

5. Modeling of wet flue gas desulfurization process for utilization of low-grade limestone;Lim;Korean Chem. Eng. Res.,2019

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