2030 oil palm plantation carbon footprint estimation using O-LCA and forecasting

Farizal F, Trisha Amanda, Muhammad Dachyar, Zainura Zainon Noor

Research output: Contribution to journalArticlepeer-review

Abstract

Since palm oil products have a crucial role in society development, palm oil business in Indonesia has grown significantly over the past few decades. However, this industry is frequently linked to environmental issues, particularly its potential emission of greenhouse gases (GHGs). This study attempts to estimate the carbon footprint of a palm oil company's operation for the year of 2030. In doing so, a novel methodology that consists of organizational lifecycle assessment (O-LCA), simple linear regression (SLR), and double exponential smoothing (DES) methods is proposed. O-LCA is used to identify the sources of emission and estimate the amount of the emission generated, while SLR and DES are used to forecast the sources. As the result, the carbon footprint in 2030 is estimated to be 62,758,433.56 kg Carbon Dioxide equivalent (CO2eq) where on average a ton of crude palm oil (CPO) produces 1.08 ton CO2eq. The study also discloses that the three largest emission sources are palm oil mill effluent (POME), fertilizer, and transportation. The forecasting methods used are quite accurate with mean absolute percentage error (MAPE) of less than 10%. The results of this study can shed a light to help Indonesia achieving its target to reduce GHG emission by 2030.

Original languageEnglish
Article number142646
JournalJournal of Cleaner Production
Volume463
DOIs
Publication statusPublished - 15 Jul 2024

Keywords

  • Carbon footprint
  • Forecasting
  • Greenhouse gases
  • O-LCA
  • Palm oil

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