Literature DB >> 26025583

Accelerated carbonation using municipal solid waste incinerator bottom ash and cold-rolling wastewater: Performance evaluation and reaction kinetics.

E-E Chang1, Shu-Yuan Pan2, Liuhanzi Yang3, Yi-Hung Chen4, Hyunook Kim5, Pen-Chi Chiang6.   

Abstract

Accelerated carbonation of alkaline wastes including municipal solid waste incinerator bottom ash (MSWI-BA) and the cold-rolling wastewater (CRW) was investigated for carbon dioxide (CO2) fixation under different operating conditions, i.e., reaction time, CO2 concentration, liquid-to-solid ratio, particle size, and CO2 flow rate. The MSWI-BA before and after carbonation process were analyzed by the thermogravimetry and differential scanning calorimetry, X-ray diffraction, and scanning electron microscopy equipped with energy dispersive X-ray spectroscopy. The MSWI-BA exhibits a high carbonation conversion of 90.7%, corresponding to a CO2 fixation capacity of 102g perkg of ash. Meanwhile, the carbonation kinetics was evaluated by the shrinking core model. In addition, the effect of different operating parameters on carbonation conversion of MSWI-BA was statistically evaluated by response surface methodology (RSM) using experimental data to predict the maximum carbonation conversion. Furthermore, the amount of CO2 reduction and energy consumption for operating the proposed process in refuse incinerator were estimated. Capsule abstract: CO2 fixation process by alkaline wastes including bottom ash and cold-rolling wastewater was developed, which should be a viable method due to high conversion.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Alkaline wastes; CO(2); Energy consumption; Mineralization; Operating cost; Shrinking core model

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Year:  2015        PMID: 26025583     DOI: 10.1016/j.wasman.2015.05.001

Source DB:  PubMed          Journal:  Waste Manag        ISSN: 0956-053X            Impact factor:   7.145


  1 in total

1.  CO2 Mineralization and Utilization using Steel Slag for Establishing a Waste-to-Resource Supply Chain.

Authors:  Shu-Yuan Pan; Tai-Chun Chung; Chang-Ching Ho; Chin-Jen Hou; Yi-Hung Chen; Pen-Chi Chiang
Journal:  Sci Rep       Date:  2017-12-08       Impact factor: 4.379

  1 in total

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