Abstract
Different 13 new formulae have been developed for estimating the calorific values of 20 different biomass samples from their proximate analyses data. In order to obtain these formulae, 20 biomass samples from different types were analyzed to determine calorific values and proximate analyses. The measured net heating values of the biomass samples varied between 15.41 and 19.52 MJ/kg. All correlations were developed by means of least squares regression analyses. Regression coefficients of the correlations range from 0.829 to 0.898. Standard deviations of the heating values determined from 13 different correlations are between 0.4419 and 0.5280.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
