Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6688943 | Applied Energy | 2014 | 16 Pages |
Abstract
The proposed methodology is a bottom-up resource-focused approach with statistical analysis that uses a Monte Carlo algorithm to stochastically estimate the theoretical and the technical biomass energy potential. The paper also includes a proposed approach to quantify uncertainty combining a probabilistic propagation of uncertainty, a sensitivity analysis and a set of disaggregated sub-models to estimate reliability of predictions and reduce the associated uncertainty. Results predict a theoretical energy potential of 0.744 EJ and a technical potential of 0.059 EJ in 2010, which might account for 1.2% of the annual primary energy production (4.93 EJ).
Related Topics
Physical Sciences and Engineering
Energy
Energy Engineering and Power Technology
Authors
Miguel Angel Gonzalez-Salazar, Mirko Morini, Michele Pinelli, Pier Ruggero Spina, Mauro Venturini, Matthias Finkenrath, Witold-Roger Poganietz,