TY - GEN
T1 - CFD Simulation of the Effect of Adding a Sludge Zone to the Sequencing Batch Reactor for Fluid Turbulence
AU - Hendrasarie, Novirina
AU - Nugroho, Giri
AU - Trilita, Minarni Nur
AU - Rahmat, Basuki
AU - Swari, Made Hanindia Prami
AU - Diyasa, I. Gede Susrama Mas
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The Sequencing Batch Reactor (SBR) flow turbulence analysis aims to increase the dissolved oxygen (DO) in wastewater. This DO is a significant factor that influences the abundance of microbes in SBR. These microbes act as wastewater pollutants degraders in the SBR. The other problem of SBR, the sludge is frequently included in the effluent, reducing the quality of the treated wastewater. As a result, the aim of this study is to examine the effects of turbulence in square-cylindrical SBRs, as well as the effects of adding a sludge zone at the bottom of the SBR. This research is divided into two activities, turbulence analysis using Computational Fluid Dynamics (CFD), and laboratory scale design of an SBR prototype complete with impeller. On a laboratory scale, the variables used are hydraulic retention time and impeller rotation speed of 50 and 150 rpm. The experiment results showed that a rectangular-shaped SBR with a sludge zone could achieve an optimal DO of 4.04 mg/L. CFD modelling resulted in similar results; flow turbulence was evenly distributed throughout the reactor, increasing the DO content.
AB - The Sequencing Batch Reactor (SBR) flow turbulence analysis aims to increase the dissolved oxygen (DO) in wastewater. This DO is a significant factor that influences the abundance of microbes in SBR. These microbes act as wastewater pollutants degraders in the SBR. The other problem of SBR, the sludge is frequently included in the effluent, reducing the quality of the treated wastewater. As a result, the aim of this study is to examine the effects of turbulence in square-cylindrical SBRs, as well as the effects of adding a sludge zone at the bottom of the SBR. This research is divided into two activities, turbulence analysis using Computational Fluid Dynamics (CFD), and laboratory scale design of an SBR prototype complete with impeller. On a laboratory scale, the variables used are hydraulic retention time and impeller rotation speed of 50 and 150 rpm. The experiment results showed that a rectangular-shaped SBR with a sludge zone could achieve an optimal DO of 4.04 mg/L. CFD modelling resulted in similar results; flow turbulence was evenly distributed throughout the reactor, increasing the DO content.
KW - Computational Fluid Dynamic
KW - dissolved oxygen
KW - sequencing batch reactor
KW - turbulent flow
UR - http://www.scopus.com/inward/record.url?scp=85186531700&partnerID=8YFLogxK
U2 - 10.1109/ITIS59651.2023.10420364
DO - 10.1109/ITIS59651.2023.10420364
M3 - Conference contribution
AN - SCOPUS:85186531700
T3 - Proceeding - IEEE 9th Information Technology International Seminar, ITIS 2023
BT - Proceeding - IEEE 9th Information Technology International Seminar, ITIS 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th IEEE Information Technology International Seminar, ITIS 2023
Y2 - 18 October 2023 through 20 October 2023
ER -