Now showing 1 - 3 of 3
  • Publication
    Biomass fuel characteristics of Malaysian Khaya Senegalensis wood-derived energy pellets: effects of densification at varied processing temperatures
    This study addresses the effects of densification at varied pelletization temperatures on the novel Malaysian Khaya senegalensis wood-derived pellets biomass fuel characteristics. The lack of comprehensive understanding regarding the biomass fuel characteristics of this species prompted the research. By addressing this knowledge gap, this study explores the impact of temperature variations on key fuel properties, contributing to the optimization of sustainable biomass fuel production in manufacturing and materials processing. Khaya senegalensis wood, grown and harvested in Malaysia, was pelletized at different temperatures to analyze the calorific value, volatile matter content, ash content, fixed carbon, bulk density, and moisture contents of the pellets. The experimental data revealed a significant relationship between temperature and these fuel properties. Pelletizing at 75 °C produced the highest calorific value of 19.47 MJ/kg and the maximum fixed carbon content of 10.04%. A low ash level of 4.26% was achieved via pelletizing at 75 °C. According to the results, 75 °C produced the best thermophysical properties. These findings provide valuable understanding of how pelletization temperature influences fuel pellet thermophysical properties, a critical aspect in optimizing fuel pellet production, storage, advancing renewable energy resource utilization, and, finally, promoting a cleaner and more sustainable energy future.
  • Publication
    Optimization of fuel pellet parameter from oil palm fronds by using Response Surface Methodology (RSM)
    ( 2023-06) ; ; ;
    Nadiah Farzana Jamaludin
    ;
    Adli Azimi Abdul Rahman
    ;
    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.
  • Publication
    Cracking the code: process parameter effects on Khaya senegalensis energy pellet moisture content
    The production of energy pellets from biomass sources holds immense potential for sustainable renewable energy generation. This study investigates the influence of key process parameters on the moisture content of energy pellets derived from Khaya senegalensis, a promising biomass feedstock in Malaysia. With a focus on unlocking the relationship between process variables and pellet moisture, a systematic experimental approach was adopted. The objective of this study is to investigate the effects of raw material moisture, feedstock particle size, compression pressure, and pelletization temperature on the manufactured biomass energy pellet's moisture content. By employing a comprehensive design of experiments and statistical analysis, the nuanced effects of these parameters are revealed on the moisture content of Khaya senegalensis energy pellets. The results illuminate the complex interplay between these process variables and the final moisture characteristics of the pellets. Understanding how these parameters impact moisture content is crucial for optimizing pellet quality, combustion efficiency, and storage stability. The study found a quadratic relationship between particle size, compression pressure, and pelletization temperature, indicating that larger particle sizes correlate with higher moisture content. Excessive pressure led to elevated levels while increasing temperature showed a decreasing trend. This research contributes valuable insights that advance the knowledge frontier of biomass pelletization, paving the way for enhanced utilization of Khaya senegalensis as a renewable energy resource.