Uncertainty characterization of building emergy analysis (BEmA)

The experimental findings showed that Monte Carlo simulation gave the mean of 9.57 × 1013 sej/m2yr with the standard deviation of 3.73 × 1013 sej/m2yr. Meanwhile, Monte Carlo simulation coupled with the Fuzzy logic reduced variability, thereby resulting in the mean of 8.42 × 1013 sej/m2yr and the standard deviation of 0.94 × 1013 sej/m2yr. Above two results were compared to each other through the KS (Kolmogorov-Smirnov) fitness test and the baseline of a point-estimate (7.66 × 1013 sej/m2yr). Sensitivity analysis as a post processing examined the ranked contribution level of each parameter. As a result, it became clear that specific emergy values of the large amount inputs such as electricity and concrete block are the most influential variables to BEmA.