The effect of inoculum composition, pH, and addition of nutrients to the optimum production of biogas from Palm Oil Mill Effluent.

Autor: Anindita, Hana Nabila, Wulandari, Winda, Dwimansyah, Ridho, Muharto, Bambang, Supriyadi, Muhamad Rodhi, Prasetyo, R. Dwi Husodo, Senda, Semuel Pati, Nilasari
Zdroj: AIP Conference Proceedings; 2024, Vol. 3069 Issue 1, p1-8, 8p
Abstrakt: The utilization of Palm Oil Mill Effluent (POME) to produce biogas in Indonesia is very potential since the production of palm oil in Indonesia is one of the highest in the world. In 2021, about 28.7 million liter of POME produced as a wastewater from palm oil plant. The production of biogas from POME can be done through fermentation. The fermentation process of biogas from POME needs an inoculum as the population of microorganisms and POME as a fermentation medium. This process involves many microorganisms that are sensitive to the changes of the operating parameter so it is important to find the optimum condition for the biogas production. Some of the parameters that affect the production of biogas are inoculum composition, pH, the addition of nutrients, and the Hydraulic Retention Time (HRT) of the substrate. This research used POME as substrate, cow dung as the inoculum, sodium hydroxide as pH controller, and urea as the nutrients that are fed into a 250 ml fermentor in a room temperature. The inoculum composition, pH, and composition of nutrients are varied. The fermentor was operated for 30 days and the gas produced from the fermentor was analyzed using GC-TCD every 10 days to discover the methane production. The results showed that the highest methane composition (52.7%) were obtained from the fermentor with the composition of 30% volume of inoculum: 70% volume of POME with pH adjusted to 7 and the nutrient addition for 1000 ppm for HRT 30 days. The result of this research can be used as the consideration in scaling up the biogas fermentation from POME to the larger fermentor capacity in future study. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index