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활성탄소와 이산화 타이타늄을 활용한 폼 복합체의 질소산화물의 제거 성능 평가

Evaluation of the Removal Performance of Nitrogen Oxides of Foam Composites Using Activated Carbon and Titanium Dioxide

최영철|최현철
한국구조물진단유지관리공학회 (The Korea Institute For Structural Maintenance and Inspection)|2022.12|한국구조물진단유지관리공학회 논문집 (Journal of The Korea Institute for Structural Maintenance and Inspection)|제26권 제6호|pp. 120-127

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키워드

Titanium dioxideActivated carbonSpecific surface area질소산화물활성탄소이산화타이타늄폼 복합체비표면적Nitogen oxideFoam composite
주제분류안전공학

초록

질소산화물(NOx)은 대기오염의 주요 인자로 일산화질소와 이산화질소의 형태로 존재하며 인체에 유해하다. 최근 대기 중 NOx를제거하기 위한 많은 연구가 진행되고 있으며, 이러한 노력은 건설재료 분야에서도 동일하다. NOx는 광촉매 반응을 이용하여 효율적으로 제거할 수 있는 것으로 알려져 있다. 본 연구에서는 활성탄(AC)과 이산화타이타늄(TiO2)을 이용한 폼 복합재의 NOx 제거성능을 조사하였다. AC는 폼 복합체의 비표면적을 증가시켜 TiO2의 광촉매 반응 효율을 향상시켰다. 본 연구에서는 AC의 혼합율을 주요 변수로 하여 폼 복합체를 제조하였다. 제조된 시험체를 이용하여 ISO-22197-1에 제시된 시험방법에 따라 NOx 제거성능을 평가하였다. 폼 복합체의 비표면적은 AC 함량에 따라 증가하는 경향을 나타내었으나 15% 이상에서는 감소하였다. 또한 AC 혼입률이 15%일 때 NOx 제거 효율이 가장 높았다.

Abstract

Nitrogen oxide(NOx) is a major cause of air pollution, exists in the form of nitrogen monoxide and nitrogen dioxide, and is harmful to thehuman body. Recently, a number of studies to reduce NOx in the atmosphere have been conducted, and these efforts have been the same in the fieldof construction materials. It is known that NOx can be efficiently removed by using a photocatalytic reaction. In this study, the NOx removal performanceof the foam composite using activated carbon(AC) and titanium dioxide(TiO2) was investigated. AC was used to enhance the photocatalytic reactionof TiO2 by increasing the internal specific surface area of the foam composite. In this study, foam composites were prepared using the substitutionrate of AC as the main variable. The NOx removal performance of specimen was evaluated according to the test method presented in ISO-22197-1. The specific surface area of the foam composite showed a tendency to increase according to the AC content, but decreased at 15% or more. Also, whenthe AC substitution rate was 15%, the NOx removal efficiency was the highest.

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