Application of Response Surface Methodology (RSM) for Optimization of COD Removal from POME by Activated Sludge Simulation Program (ASIM)

Authors

  • Reno Susanto Chemical Engineering, Faculty of Industrial Technology, Bandung Institute of Technology
  • Budiman Batara Chemical Engineering, Faculty of Engineering, University of Riau
  • Said Zul Amraini
  • Tjandra Setiadi

Keywords:

ASIM, COD, WWTP, RSM

Abstract

Indonesia is the world's biggest producer at a time as an exporter of palm oil. Palm oil processing is implemented in palm oil mills, where the oil is extracted from palm fruit bunches. A major amount of water is utilized during the extraction of crude palm oil from fresh fruit bunches, and about 50% of this water is generated as palm oil mill effluent (POME). POME is a viscous liquid that conceives upper amounts of contaminants such as COD, BOD, TSS, and Ammonia. Exile of this highly defacing waste becomes a significant matter if it is not handled accurately other than the strict standard limits imposed by the Indonesian Ministry of Environment. In this research, a simulation of the POME Activated Sludge Simulation (ASIM) waste treatment process will be carried out to determine the optimum process for treating POME. POME processing is carried out with 4 main process equipment units, namely anaerobic tanks, anoxic tanks, aeration tanks and clarifiers. The experimental design was carried out utilizing the Standard Response Surface Method (RSM) design, namely the 2-level factorial 23 design to decide the optimum process variable for COD removal using Minitab v.20 software. Influent data were obtained from PTPN V Sei Pagar, Riau Province with water quality standards waste based on the 2014 LH Regulation, namely COD 500 mg/L. The variables used in this research are HRT, recirculation rate, and sludge retention time. The research results can be used to design the WWTP for the Palm Oil Industry. The outcomes clearly showed that HRT, SRT, and IRR had a significant impact on the COD elimination of POME. From the optimization, the maximum COD removal efficiency was derived at initial SRT 8,63 hours, HRT 5,07 hours and IRR 1,75Q.

References

Audu, J. O., Dzulkarnain, E. L. N., Ibrahim, Z., Ibrahim, N., & Abdul-Wahab, M. F. (2020). Dark Fermentation and Bioelectrochemical Systems for Enhanced Biohydrogen Production from Palm Oil Mill Effluent: Current Progress, Potentials, and Future Perspectives. 1–35. https://doi.org/10.1007/978-3-030-39137-9_1

Bajpai, M., & Katoch, S. S. (2020). Techno-economical optimization using Box–Behnken (BB) design for chemical oxygen demand and chloride reduction from hospital wastewater by electrocoagulation. Water Environment Research, 92(12), 2140–2154. https://doi.org/10.1002/WER.1387

Bajpai, M., Singh Katoch, S., & Singh, M. (2020). Optimization and economical study of electrocoagulation unit using CCD to treat real graywater and its reuse potential. Environmental Science and Pollution Research, 27(33), 42040–42050. https://doi.org/10.1007/S11356-020-10171-X/TABLES/5

Iskandar, M. J., Baharum, A., Anuar, F. H., & Othaman, R. (2018). Palm oil industry in South East Asia and the effluent treatment technology—A review. Environmental Technology & Innovation, 9, 169–185. https://doi.org/10.1016/J.ETI.2017.11.003

Kadier, A., Abdeshahian, P., Kalil, M. S., Hasan, H. A., & Hamid, A. A. (2018). Optimization of the Key Medium Components and Culture Conditions for Efficient Cultivation of G. sulfurreducens Strain PCA ATCC 51573 Using Response Surface Methodology. Iranian Journal of Science and Technology, Transaction A: Science, 42(1), 237–244. https://doi.org/10.1007/S40995-018-0501-4/FIGURES/4

Kim, H. W., & Rhee, M. S. (2018). Response surface modeling of reductions in uropathogenic Escherichia coli biofilms on silicone by cranberry extract, caprylic acid, and thymol. Https://Doi.Org/10.1080/08927014.2018.1488969, 34(6), 710–717. https://doi.org/10.1080/08927014.2018.1488969

Li, B., Qiu, Y., Zhang, C., Chen, L., & Shi, H. (2016). Understanding biofilm diffusion profiles and microbial activities to optimize integrated fixed-film activated sludge process. Chemical Engineering Journal, 302, 269–277. https://doi.org/10.1016/J.CEJ.2016.05.048

Mishra, P., Singh, L., Ab Wahid, Z., Krishnan, S., Rana, S., Amirul Islam, M., Sakinah, M., Ameen, F., & Syed, A. (2018). Photohydrogen production from dark-fermented palm oil mill effluent (DPOME) and statistical optimization: Renewable substrate for hydrogen. Journal of Cleaner Production, 199, 11–17. https://doi.org/10.1016/J.JCLEPRO.2018.07.028

Myers, R. H., Montgomery, D. C., & Anderson-Cook, C. M. (2016). Response surface methodology: process and product optimization using designed experiments. John Wiley & Sons.

Nabgan, W., Tuan Abdullah, T. A., Nabgan, B., Jalil, A. A., Nordin, A. H., Ul-Hamid, A., Hassan, N. S., Hussain, I., Coelho, A., Amin, A., & Ikram, M. (2021). Catalytic biohydrogen production from organic waste materials: A literature review and bibliometric analysis. International Journal of Hydrogen Energy, 46(60), 30903–30925. https://doi.org/10.1016/J.IJHYDENE.2021.04.100

Nawaz, R., Kait, C. F., Chia, H. Y., Isa, M. H., Huei, L. W., Sahrin, N. T., & Khan, N. (2021). Countering major challenges confronting photocatalytic technology for the remediation of treated palm oil mill effluent: A review. Environmental Technology & Innovation, 23, 101764. https://doi.org/10.1016/J.ETI.2021.101764

Prakash Maran, J., Sivakumar, V., Thirugnanasambandham, K., & Sridhar, R. (2013). Artificial neural network and response surface methodology modeling in mass transfer parameters predictions during osmotic dehydration of Carica papaya L. Alexandria Engineering Journal, 52(3), 507–516. https://doi.org/10.1016/J.AEJ.2013.06.007

Saad, M. S., Wirzal, M. D. H., & Putra, Z. A. (2021). Review on current approach for treatment of palm oil mill effluent: Integrated system. Journal of Environmental Management, 286, 112209. https://doi.org/10.1016/J.JENVMAN.2021.112209

Salimin, Z., Susianto, M., Batara, B., & Chafidz, A. (2020). Utilization of Modified Zeolite Materials as Chromium Cation Exchanger for Treatment of Liquid Waste from Electroplating Industries. Materials Science Forum, 991, 172–177. https://doi.org/10.4028/WWW.SCIENTIFIC.NET/MSF.991.172

Susanto, R., Rahmi, V. A., & Widyaningsih, D. (2022). Treatment Palm Oil Mill Effluent (POME) Using Continuous Column Plate Electric Reactor. Al-Kimia, 10(2). https://doi.org/10.24252/AL-KIMIA.V10I2.25646

Wu, T. Y., Mohammad, A. W., Md. Jahim, J., & Anuar, N. (2007). Palm oil mill effluent (POME) treatment and bioresources recovery using ultrafiltration membrane: Effect of pressure on membrane fouling. Biochemical Engineering Journal, 35(3), 309–317. https://doi.org/10.1016/J.BEJ.2007.01.029

Xu, L., Chen, N., & Chen, Z. (2017). Will China make a difference in its carbon intensity reduction targets by 2020 and 2030? Applied Energy, 203, 874–882. https://doi.org/10.1016/J.APENERGY.2017.06.087

Yashni, G., Al-Gheethi, A., Radin Mohamed, R. M. S., Arifin, S. N. H., & Mohd Salleh, S. N. A. (2020). Conventional and advanced treatment technologies for palm oil mill effluents: a systematic literature review. Https://Doi.Org/10.1080/01932691.2020.1788950, 1–19. https://doi.org/10.1080/01932691.2020.1788950

Downloads

Published

2023-04-26

How to Cite

Reno Susanto, Budiman Batara, Said Zul Amraini, & Tjandra Setiadi. (2023). Application of Response Surface Methodology (RSM) for Optimization of COD Removal from POME by Activated Sludge Simulation Program (ASIM). Proceeding International Conference on Religion, Science and Education, 2, 755–760. Retrieved from https://sunankalijaga.org/prosiding/index.php/icrse/article/view/992

Issue

Section

Articles