Estimation of HHV of lignocellulosic biomass towards hierarchical cluster analysis by Euclidean's distance method(Article)

Fuel

Journal Article

A heuristic methodology to estimate higher heating values (HHV) based on a statistic tools, in particular, hierarchical cluster analysis, is disclosed in this paper. The correlation has been studied using data available in other documents, and as test samples were used biomasses from open sources or also from previously published works. The aim is to offer another fast and simple way to access the information regarding the higher heating value. The method was tuned for lignocellulosic biomass and have presented an average absolute error lower than 3% and marginal average bias error at just −0.52% indicating a good predictive capability. © 2018 Elsevier Ltd

Publication

Year of publication: 2018

Identifiers

ISSN: 00162361

Locators

DOI: 10.1016/j.fuel.2018.02.092

Alternative Titles