Statistical Analyses. Statistical analyses were performed to characterize the magnitude of the contextual parameters within each sustainability performance typology (e.g., magnitude of caloric intake in countries with high-cost vs low-cost typologies for the baseline Biogenic Refinery system). The Shapiro-Wilk test for normality was conducted to assess the normality of each dataset (Table ). Because many of the comparison datasets were not normal (p < 0.05), the Mann-Whitney U Test/Wilcoxon Rank Sum Test 62 (nonparametric test to compare outcomes between two independent groups) was selected to determine if two samples are likely to derive from the same population (Table ). The medians of each sample within a comparison pair with a statistically significant difference (defined as p < 0.05) were calculated to quantify the magnitude of each contextual parameter within a typology (i.e., low, high), while pairs with no statistically significant difference were categorized as "varies". Results were used to inform the summary table of sustainability performance typologies presented in this work.