Carbon Footprint Assessment Based on Life Cycle Assessment of Biomass Power Plant

Abstract

This research aims to study the carbon footprint based on the life cycle assessment of biomass power plants. Covering the acquisition of raw materials to the end of the production process in biomass power plants (cradle to grave: C2G). The study proposes constructive ways to reduce the carbon footprint of biomass power plants. Conducted research consisting of 3 phases: phase 1, the rubber plantation process; phase 2, the rubber wood processing plant; and phase 3, the biomass power plant. Assessment of carbon footprint: following the principle of life cycle assessment, the results of the carbon footprint assessment found that in Phase 1, the process of growing rubber trees throughout the life cycle calculated the carbon footprint of the sample group as average greenhouse gas emissions from fresh rubber wood and combined with the average greenhouse gas emissions from rubber wood timbers of 1.1186 kgCO₂eq per day. In phase 2, rubber wood processing plants throughout the life cycle have average greenhouse gas emissions of 15,319.11 kgCO₂eq per day. In phase 3, biomass power plants electricity capacity is 9.9 MW per day, and their greenhouse gas emissions are 44,753.60 kg CO₂eq per day. The result found that greenhouse gas emissions from biomass power plants per 1 kWh accounted for a carbon dioxide equivalent of 4.52 kgCO₂eq. Calculate the predictor factors affecting the amount of greenhouse gases in biomass power plants in raw score form as Y = 373.516 +.082 (raw material quantity), where Y is the greenhouse gas emission (kgCO₂eq), using the forecast equation in standard score form. With Z =.983_{raw material quantity3}, It was found that the quantity of raw materials had a positive correlation with the quantity of greenhouse gases at a statistical significance of .01 with a correlation coefficient of .983, which could explain the variability of the variables of the quantity of greenhouse gases with 96.70 percent accuracy.