IPCC Analysis with Backpropagation Neural Network Algorithm for Decennial CH4 Potential: A Review on City Waste to Energy

Abstract

Biogas as one potential renewable energy can be arranged from a proper CH4 production system commonly introduced at landfill site. City waste has been one of many resources to generate methane which can be daily transported from all over the city into the nearest landfill site. City waste to energy is the main focus of this research to be converted into potential CH4 production within certain amount of time. The aim of this research is to provide a decennial analysis on CH4 production using Intergovernmental Panel on Climate Change Analysis (IPCC) method with Backpropagation Neural Network (BPNN) over the whole state. The sample has been taken from 20 major cities in Indonesia. BPNN algorithm has been used as an artificial intelligent computing method to provide a less error decennial prediction on the daily transported garbage from the late decade (2007 to 2017) into the next decade (2018 to 2027). The result on the decennial garbage has been processed using IPCC method to provide the amount of CH4 generated form each city. Decennial analysis has finalized a trend showing that most city, 11 of 20, will have enough produced methane in an increasing state up to the next ten years, while 5 of 20 will have a reduced methane potential. This trend should be an enough bases for each city government to decide a decennial policy on city waste management, the development on landfill site, or to the improvement of biogas generation facility.