# Numerical and statistical analysis of energy content of Shell-Fibre-EFB mixture 1

Thong, De Yong (2008) Numerical and statistical analysis of energy content of Shell-Fibre-EFB mixture 1. Universiti Malaysia Sabah. (Unpublished)

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## Abstract

Empty fruit bunches (EFB), fibre and shell are the wastes produced during the extraction process of palm oil. The wastes are capable to generate revenue when used as solid fuel in steam boiler to generate electricity or energy for daily operation of palm oil mill. The energy content of wastes is described in lower heating value, LHV and higher heating value, HHV. The heating value is one of the most important properties of biomass fuels for design calculations or numerical simulations of thermal conversion systems for biomass. Generally, there are 2 methods to compute the energy content of solid wastes; prediction by semi-empirical models or experimental. The semi-empirical models are based on the data from physical composition, proximate analysis and ultimate analysis; the experiment is conducted using oxygen bomb calorimeter. The aim of this research is to compute the HHV for Shell-Fibre-EFB at different percentages using suitable semi-empirical models and analyse the data based on HHV, numerically and statistically. In this research, 12 semi-empirical models based on ultimate analysis were selected to be analysed; the elemental compositions data were obtained from 2 oil palm mills and used as the data input to the 12 models to compute the HHV of Shell-Fibre-EFB at different percentages. Then statistical analysis was applied to compare the results within the models and result based on models was compared with the actual HHV. The statistical analysis indicates that modified or original Dulong models, Scheurer-Kestner model, Boie model, Inst. for Gas Tech. model, Demirbas model and Jenkins model can be used for the computation of HHV in mill 1 only because they have statistically insignificant difference between actual HHV and computed HHV, whereas Mott & Spooner model and Channiwala & Parikh model can not be used for computation of HHV in both mills 1 and 2 because they have statistically highly significant difference. The best semi-empirical model which can be applied to compute the HHV of Shell-Fibre-EFB at different percentages are the Steuer model and Graboski & Bain model because they have statistically insignificant difference between actual HHV and computed HHV for both mill 1 and mill 2.

Item Type: Academic Exercise Empty fruit bunches, fibre, shell, semi-empirical model, higher heating value T Technology > TJ Mechanical engineering and machinery SCHOOL > School of Engineering and Information Technology MDM SITI AZIZAH IDRIS 21 Apr 2014 03:38 13 Oct 2017 02:48 http://eprints.ums.edu.my/id/eprint/8762