Abstract
Ethanol derived from sugarcane is the energy source with the highest growth in Brazil over the past 40 years. The explanation can be summarized by its ability to replace fossil fuels with lower emissions and be produced by a renewable raw material with energetic potential eight times higher than gasoline. Studies indicate increased ethanol demand by 2050. The increase in production implies higher environmental interference according to the cultivation time in the field, with the resources used and the local production of sugarcane. The method of Life Cycle Assessment (LCA) is a tool for measuring the performance of a product during its life cycle. However, agricultural or regional factors are dynamic over time and affect its performance in a future evaluation. Thus, this article aims to suggest an inventory methodology life cycle that can represent the dynamic behavior of the determinants of environmental effects in the assessment of ethanol life cycle. The methodology involves principles of Input Output Analysys (IOA) adjusted for regression statistical technique to structure the flows from product system of LCA
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