| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10272206 | Fuel | 2014 | 9 Pages |
Abstract
The wide experimental database enables us to propose new predictive correlations, with departures from experimental values below 6% in all cases, as a contribution to the characterization and normalization of solid biofuels.
Related Topics
Physical Sciences and Engineering
Chemical Engineering
Chemical Engineering (General)
Authors
Roberto GarcÃa, Consuelo Pizarro, Antonio G. LavÃn, Julio L. Bueno,