Modeling and Optimization of High Strength Wastewater Treatment Using the Electro Oxidation Process
At a Glance
Section titled โAt a Glanceโ| Metadata | Details |
|---|---|
| Publication Date | 2016-06-01 |
| Journal | Korean Chemical Engineering Research |
| Authors | Hong-Min Lee, Sangsun Lee, Sungwon Hwang, Dongbok Jin |
| Citations | 1 |
Abstract
Section titled โAbstractโ๋ณธ ์ฐ๊ตฌ์์๋ ์ ์ ์ฐ์ ์ ์ ์ง ๋ฐ ๋ณด์๊ธฐ๊ฐ์ ๋ฐฐ์ถ๋๋ ๊ณ ๋๋ํ์์ COD (Chemical Oxygen Demand)๋ฅผ ํจ๊ณผ์ ์ผ๋ก ์ ๊ฑฐํ๊ธฐ ์ํด ์ ๊ธฐ์ฐํ๊ณต๋ฒ์ ์ ์ฉํ์๋ค. ์ฐ์ ์ฐ์ ์์ ๋ฐฐ์ถ๋๋ ์ค์ ํ์๋ฅผ ์ฒ๋ฆฌํ๊ธฐ ์ํ์ฌ BDD์ ๊ทน์ ๊ฐ๋ฐํ๊ณ , ๊ฐ๋ฐ๋ ์ ๊ทน์ ์ด์ฉํ์ฌ ์ ๋ฅ๋ฐ๋, pH, ์ ํด์ง๋๋, ๋ฐ์์๊ฐ ๋ฑ๊ณผ ๊ฐ์ ๋ค์ํ ์ด์ ์กฐ๊ฑดํ์ ์คํ์ ์งํํ์๋ค. ๋์งธ, ์ด๋ฌํ ์คํ๊ฒฐ๊ณผ๋ฅผ ์ด์ฉํ์ฌ ์ ๊ธฐ๋ถํด์ kinetic parameter๋ฅผ ์ฐ์ถํ ํ์, ์ด๋ฅผ ํ ๋๋ก ์ ๊ธฐ์ฐํ ์ฒ๋ฆฌ์ค๋น๋ฅผ ์ํ์ ์ผ๋ก ๋ชจ๋ธ๋ง ํ์๋ค. ๋ง์ง๋ง์ผ๋ก, ๊ธฐ์กด์ ์ ์์ด์ ์กฐ๊ฑด ์ ์ฌ์ฉํ๋ ์ ๋๋ ํ์๋ฅผ ์ฒ๋ฆฌํ๋ ๊ณต์ ์ ์ ์ ์กฐ๊ฑด์ ๋ง์ถ๊ธฐ ์ํ์ฌ ์ ๊ธฐ์ฐํ ์ฒ๋ฆฌ์ค๋น์ ์ค๊ณ ๋ฐ ์ด์ ์ ๋ค์ํ ๋ณ์๋ค์ ์ต์ ํํจ์ผ๋ก์จ ๋ณด๋ค ํจ์จ์ ์ธ ํ์ ์ ์ฒ๋ฆฌ ์์คํ ์ ๊ฐ๋ฐํ์๋ค. ๋ณธ ์ฐ๊ตฌ๋ฅผ ํตํด ๊ฐ๋ฐ๋ ๋ชจ๋ธ์ ๊ฒฐ์ ๊ณ์(<TEX>$R^2$</TEX>)๋ 0.982๋ก ์๋นํ ์์ ์ค์ฐจ๋ฒ์๋ฅผ ๋ณด์ฌ์ค์ผ๋ก์จ ๋ชจ๋ธ์ ๋์ ์ ํ๋๋ฅผ ์ ์ฆํ์๋ค. Electro oxidation system was designed in this study for the reduction of COD (Chemical Oxygen Demand) from high-strength wastewater, produced during refinery turnaround period. First, BDD (Boron Doped Diamond) electrode was synthesized and electro oxidation system of actual industrial wastewater was developed by adopting the synthesized BDD electrode. The experiments were carried out under various operating conditions under certain range of current density, pH, electrolyte concentration and reaction time. Secondly, reaction kinetics were identified based on the experimental results, and the kinetics were embedded into a genetic mathematical model of the electro oxidation system. Lastly, design and operating parameters of the process were optimized to maximize the efficiency of the pretreatment system. The coefficient of determination (<TEX>$R^2$</TEX>) of the model was found to be 0.982, and it proved high accuracy of the model compared with experimental results.