The Korean text of this paper can be translated into multiple languages on the website of http://jksee.or.kr through Google Translator.
기체상-생물막 여과 공법의 BTX 제거 공정 해석을 위한 1차원 동적 수치모델 개발 |
김영관1, 최성찬2, 김석구3, 이용석4 |
1강원대학교 환경공학과 2한림대학교 환경생명공학과 3한국건설기술연구원 환경・플랜트연구소 4한림성심대학교 보건환경과 |
Development of an 1-Dimensional Dynamic Numerical Model for BTX Removal Process Analysis by Gaseous-Biofilm Filtration |
Yeong-Kwan Kim1, Sung-Chan Choi2, Seog-Ku Kim3, Yong-Seok Lee4 |
1Department of Environmental Engineering, Kangwon National University 2Department of Environmental Science & Biotechnology, Hallym University 3Environmental and Plant Engineering Research Institute, Korea Institute of Civil Engineering and Building Technology 4Department of Health & Environment. Hallym Polytechnic University |
Corresponding author |
Yong-Seok Lee ,Tel: 033-240-9202, Fax: 033-240-9201, Email: yslee@hsc.ac.kr
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Received: December 7, 2015; Revised: December 28, 2015; Accepted: December 28, 2015. Published online: December 31, 2015. |
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ABSTRACT |
A biofilm filtration for the removal of gaseous pollutants has been recognized as a process with a complex interaction between the gas flow characteristics and the process operating variables. This study aims to develop an one dimensional dynamic numerical model which can be utilized as a tool for the analysis of biofilm filtration process operated in plug flow mode. Since, in a plug flow system, minor environmental changes in a gaseous unit process cause a drastic change in reaction and the interaction between the pollutants is an influencing factor, plug flow system was generalized in developing the model. For facilitation of the model development, dispersion was simplified based on the principles of material balance. Several reactions such as competition, escalation, and control between the pollutants were included in the model. The applicability of the developed model was evaluated by taking the calibration and verification steps on the experimental data performed for the removal of BTX at both low and high flow concentration. The model demonstrated a correlation coefficient (R2) greater than 0.79 under all the experimental conditions except for the case of toluene at high flow condition, which suggested that this model could be used for the generalized gaseous biofilm plug flow filtration system. In addition, this model could be a useful tool in analyzing the design parameters and evaluating process efficiency of the experiments with substantial amount of complexity and diversity. |
Key Words:
Filtration, Numerical Model, Gaseous-Biofilm, BTX, Plug Flow |
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