Abstract
Increasing bioenergy use is one of the strategies for achieving net zero emissions by 2060. Palm oil biodiesel is a type of bioenergy that has the potential to be applied to achieve this target. On the other side, there are several sources of emission along the palm oil biodiesel (POB) production chain. These potential emissions can be reduced by applying various technologies along the production chain. This study aims to develop a model for reducing emissions from palm oil biodiesel. The model developed was a combination of life cycle assessment and genetic algorithms. Two objectives are defined in this model, namely: maximizing greenhouse gas (GHG) emission reduction through technology implementation and minimizing mitigation costs in its implementation. A combination of technology implementations was represented as chromosomes generated through crossover and mutation. By running more than 1000 iterations, a combination of optimal technology implementation can be obtained with the smallest emissions and minimal mitigation costs.
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