The biomass market has experienced an increase in development, leading to\r\nresearch and development efforts that are focused on determining optimal biofuel\r\ncombustion conditions. Biomass combustion is a complex process that involves divergent\r\nparameters and thus requires the use of advanced analysis methods. This study proposes\r\ncombining grey relational analysis (GRA) and error propagation theory (EPT) to select a\r\nbiofuel and its optimal combustion conditions. This research will study three biofuels that\r\nare currently used in a region of South Europe (Spain), and the most important variables\r\nthat affect combustion are the ignition front propagation speed and the highest temperature\r\nthat is reached at the fixed bed combustor. The results demonstrate that a combination of\r\nboth theories for the analysis of solid-state thermochemical phenomena enables a fast and\r\nsimple way of choosing the best configuration for each fuel.
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