Indonesia is the largest CPO producer in the world, where around 59.1% or more than half of the world's palm oil market needs are produced by Indonesia or as much as 45.5 million tons in 2023. From the production of oil palm plantations, about 50% is wastewater known as POME (Palm Oil Mill Effluent). The release of POME into the environment can cause environmental problems such as water and soil pollution that causes damage to aquatic ecosystems and eutrophication, in addition to air pollution due to carbon dioxide, methane and hydrogen sulfide gases which are the main causes of climate change. The Indonesian government is committed to reducing gas emissions by 29% by 2030, so the government issued Permentan No. 38 of 2020 concerning Indonesian Sustainable Palm Oil (ISPO) to ensure the creation of sustainability standards for the palm oil industry in Indonesia. Effort that can be made by the palm oil industry to support government programs is by processing POME that must adjust the waste management criteria determined by the RSPO. One way that can be applied in POME treatment is to use nanobubble AOP technology for wastewater treatment that will be released to the environment because of its ability to remove various types of contaminants without using chemicals in wastewater treatment. The objective of this study is to analyze the commercial feasibility of POME treatment using nanobubble AOP technology. The method used in assessing the feasibility of POME processing is the Business Model Canvas (BMC) which considers the Payback Period (PP), Return On Investment (ROI), and Internal Rate of Return (IRR) values. Based on the calculation results, POME processing is feasible to commercialize with the revenue value coming from two main activities, namely water re-use processing and converting waste into organic fertilizer, which will produce a PP value of 1 year and 4 months, an ROI value of 64,22%, and an IRR value of 65,85%.

Keywords

POME commercialization, RSPO, Advanced Oxidation Process, Water Reuse, Business Model Canvas