Optimization of Fuel Pellet Parameter from Oil Palm Fronds by using Response Surface Methodology (RSM)

Authors

  • Ras Izzati Ismail
  • Chu Yee Khor
  • Alina Rahayu Mohamed
  • Nadiah Farzana Jamaludin
  • Adli Azimi Abdul Rahman
  • Mohd Riduan Jamalludin

DOI:

https://doi.org/10.58915/aset.v2i1.198

Abstract

The oil palm tree, which had been producing a plentiful supply of oil palm fronds, had simply been left to rot on the ground. As biomass is a loose substance, pelletization was undertaken so that it could be transported and stored with ease. High-quality pellet production was studied to maximize oil palm frond use.  Therefore, the primary goal of this study was to determine the impact of particle size and moisture content on fuel pellet quality. The response surface approach was utilized in this study to optimize the oil palm fronds pellet particle size and the moisture content on the durability, unit density, and calorific value. The particle sizes analyzed were 0.15 mm, 0.500 mm, and 1.00 mm, while the moisture content was 5%, 10.50%, and 16%. The pellets were manufactured using a hydraulic single pellet press, and their calorific value, unit density, and durability were evaluated using a bomb calorimeter, a density formula, and a sieve shaker, respectively. The optimization yielded the maximum desirability (0.5026) for particles with a 16% moisture content and a 0.500 mm particle size. The condition is ideal when the value of desirability is closest to 1.00. It may be concluded that the particle size and moisture content of oil palm fronds affect the durability, unit density, and calorific value of oil palm fronds pellet. 

Keywords:

Biomass, Oil palm fronds, Energy pellet, Optimization, Response Surface Methodology

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Published

2023-06-15

How to Cite

Ras Izzati Ismail, Chu Yee Khor, Alina Rahayu Mohamed, Nadiah Farzana Jamaludin, Adli Azimi Abdul Rahman, & Mohd Riduan Jamalludin. (2023). Optimization of Fuel Pellet Parameter from Oil Palm Fronds by using Response Surface Methodology (RSM). Advanced and Sustainable Technologies (ASET), 2(1). https://doi.org/10.58915/aset.v2i1.198

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