
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
Functional mapping of torrefied product characteristics with index of torrefaction

Abstract Torrefaction converts raw biomass into a product with higher energy density, higher fixed carbon, better grindability, HHV and longer shelf life. The extent of improvement in these and other properties can be governed by appropriately regulating the reactor operating conditions for a specified biomass. The industrial applications ranging from biofuels to chemicals have different priorities for the specific characteristics of the torrefied biomass. Some of the earlier studies on torrefaction have quantified the overall process performance by defining a parameter or index for the degree or severity of torrefaction. However, very few attempts have been made to relate the torrefaction severity to the properties of the torrefied biomass. In this paper, we have simplified the reference condition for earlier proposed definition of index of torrefaction (Basu et al. [1]) and showed that there exists a quantifiable functional relationship between the defined index and the characteristics of the torrefied biomass. The mapping co-relations depend on the type of biomass feedstock, and the index informs the type of biomass appropriate for a specific application. While this paper focuses only on classical torrefaction characteristics such as energy density, proximate and elemental analyses, and batch and continuous grindability, this analysis can be generalized to quantify other non-classical characteristics such as densification, cooking fuel characteristics, and biochar-soil interactions.
- Lawrence Berkeley National Laboratory United States
- Lawrence Berkeley National Laboratory United States
- Massachusetts Institute of Technology United States
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).30 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
