HHV Predicting Correlations for Torrefied Biomass Using Proximate and Ultimate Analyses
AbstractMany correlations are available in the literature to predict the higher heating value (HHV) of raw biomass using the proximate and ultimate analyses. Studies on biomass torrefaction are growing tremendously, which suggest that the fuel characteristics, such as HHV, proximate analysis and ultimate analysis, have changed significantly after torrefaction. Such changes may cause high estimation errors if the existing HHV correlations were to be used in predicting the HHV of torrefied biomass. No study has been carried out so far to verify this. Therefore, this study seeks answers to the question: “Can the existing correlations be used to determine the HHV of the torrefied biomass”? To answer this, the existing HHV predicting correlations were tested using torrefied biomass data points. Estimation errors were found to be significantly high for the existing HHV correlations, and thus, they are not suitable for predicting the HHV of the torrefied biomass. New correlations were then developed using data points of torrefied biomass. The ranges of reported data for HHV, volatile matter (VM), fixed carbon (FC), ash (ASH), carbon (C), hydrogen (H) and oxygen (O) contents were 14.90 MJ/kg–33.30 MJ/kg, 13.30%–88.57%, 11.25%–82.74%, 0.08%–47.62%, 35.08%–86.28%, 0.53%–7.46% and 4.31%–44.70%, respectively. Correlations with the minimum mean absolute errors and having all components of proximate and ultimate analyses were selected for future use. The selected new correlations have a good accuracy of prediction when they are validated using another set of data (26 samples). Thus, these new and more accurate correlations can be useful in modeling different thermochemical processes, including combustion, pyrolysis and gasification processes of torrefied biomass. View Full-Text
- Supplementary File 1:
Supplementary (PDF, 755 KB)
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Nhuchhen, D.R.; Afzal, M.T. HHV Predicting Correlations for Torrefied Biomass Using Proximate and Ultimate Analyses. Bioengineering 2017, 4, 7.
Nhuchhen DR, Afzal MT. HHV Predicting Correlations for Torrefied Biomass Using Proximate and Ultimate Analyses. Bioengineering. 2017; 4(1):7.Chicago/Turabian Style
Nhuchhen, Daya R.; Afzal, Muhammad T. 2017. "HHV Predicting Correlations for Torrefied Biomass Using Proximate and Ultimate Analyses." Bioengineering 4, no. 1: 7.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.