2nd Annual International Conference on Energy, Environmental & Sustainable Ecosystem Development (EESED 2016)

The optimization of desulfurization conditions by response surface methodology

Authors
Shui-Quan Chen, Chao-Cheng Zhao, Meng Zang, Xiao-Xiao Wang
Corresponding Author
Shui-Quan Chen
Available Online August 2016.
DOI
10.2991/eesed-16.2017.5How to use a DOI?
Keywords
Biodesulfurization; Dibenzothiophene; Response Surface Methodology
Abstract

Dibenzothiophene and its derivatives are components of high-sulfur crude oil, and these sulfides would reduce the oil quality and increase sulfur dioxide emissions when burned, which will decline environmental quality. Compared with the traditional desulfurization method, biodesulfurization has many advantages, but how to improve the biological desulfurization efficiency has been an important issue. In this study, culture conditions and desulfurization conditions were optimized by response surface methodology (RSM) to improve the biological desulfurization efficiency. Based on the single-factor experiments, Plackeet-Burman method (PB) was used to determine the main factors which would influence the efficiency of desulfurization. And the three main factors were temperature, pH and DBT concentration. Response surface optimization experiments show that when temperature was 29.70øC, initial pH was 7.43, and DBT concentration was 105.47mg/L, the desulfurization rate would be maximum, theoretical maximum degradation rate were 72.32%, and actual degradation rate were 74%. The interaction between the three key factors was significant, the influence degree was DBT concentration> pH> temperature. This study provides a method to improve the biological desulfurization efficiency by optimizing culture conditions and desulfurization conditions.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
2nd Annual International Conference on Energy, Environmental & Sustainable Ecosystem Development (EESED 2016)
Series
Advances in Engineering Research
Publication Date
August 2016
ISBN
10.2991/eesed-16.2017.5
ISSN
2352-5401
DOI
10.2991/eesed-16.2017.5How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Shui-Quan Chen
AU  - Chao-Cheng Zhao
AU  - Meng Zang
AU  - Xiao-Xiao Wang
PY  - 2016/08
DA  - 2016/08
TI  - The optimization of desulfurization conditions by response surface methodology
BT  - 2nd Annual International Conference on Energy, Environmental & Sustainable Ecosystem Development (EESED 2016)
PB  - Atlantis Press
SP  - 29
EP  - 35
SN  - 2352-5401
UR  - https://doi.org/10.2991/eesed-16.2017.5
DO  - 10.2991/eesed-16.2017.5
ID  - Chen2016/08
ER  -