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稻壳灰掺杂铜吸附剂同时去除 SO2 和 NO 的优化研究。

Rice husk ash sorbent doped with copper for simultaneous removal of SO2 and NO: optimization study.

机构信息

School of Chemical Engineering, Universiti Sains Malaysia, Engineering Campus, Seri Ampangan, 14300 Nibong Tebal, Pulau Pinang, Malaysia.

出版信息

J Hazard Mater. 2010 Nov 15;183(1-3):738-45. doi: 10.1016/j.jhazmat.2010.07.088. Epub 2010 Jul 30.

DOI:10.1016/j.jhazmat.2010.07.088
PMID:20724075
Abstract

In order to reduce the negative impact of coal utilization for energy generation, the pollutants present in the flue gas of coal combustion such as sulfur dioxide (SO(2)) and nitrogen oxide (NO) must be effectively removed before releasing to the atmosphere. Thus in this study, sorbent prepared from rice husk ash that is impregnated with copper is tested for simultaneous removal of SO(2) and NO from simulated flue gas. The effect of various sorbent preparation parameters; copper loading, RHA/CaO ratio, hydration period and NaOH concentration on the sorbent desulfurization/denitrification capacity was studied using Design-Expert Version 6.0.6 software. Specifically, Central Composite Design (CCD) coupled with Response Surface Method (RSM) was used. Significant individual parameters that affect the sorbent capacity are copper loading and NaOH concentration. Apart from that, interaction between the following parameters was also found to have significant effect; copper loading, RHA/CaO ratio and NaOH concentration. The optimum sorbent preparation condition for this study was found to be 3.06% CuO loading, RHA/CaO ratio of 1.41, 8.05 h of hydration period and NaOH concentration of 0.80 M. Sorbent characterization using SEM, XRD and surface area analysis were used to describe the effect of sorbent preparation parameters on the desulfurization/denitrification activity.

摘要

为了减少煤发电带来的负面影响,必须在将废气排放到大气中之前,有效去除燃煤过程中产生的污染物,如二氧化硫(SO(2))和氮氧化物(NO)。因此,本研究采用铜浸渍稻壳灰制备的吸附剂,用于同时去除模拟烟道气中的 SO(2)和 NO。使用 Design-Expert Version 6.0.6 软件研究了各种吸附剂制备参数(铜负载量、稻壳灰/氧化钙比、水合期和 NaOH 浓度)对脱硫/脱硝能力的影响。具体而言,采用中心复合设计(CCD)与响应面法(RSM)相结合。结果表明,铜负载量和 NaOH 浓度是影响吸附剂容量的显著单个参数。此外,还发现以下参数之间的相互作用也具有显著影响:铜负载量、稻壳灰/氧化钙比和 NaOH 浓度。研究发现,本研究的最佳吸附剂制备条件为 3.06%CuO 负载量、稻壳灰/氧化钙比为 1.41、8.05 h 水合期和 0.80 M NaOH 浓度。采用 SEM、XRD 和比表面积分析对吸附剂进行了表征,以描述吸附剂制备参数对脱硫/脱硝活性的影响。

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