PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 21, 2026Egyptian Journal of Petroleum0 citationsOpen Access

Hydrogenation of Low Density Polyethylene Using Transition Metal Based Catalyst Loaded on Active Natural Zeolite: Effect of Temperature and Metal Loading

View Full Paper
APAhmad Nasir PulunganDSDewi Purnama SariHHHerlinawati Herlinawati

Key Points

  • To evaluate the effectiveness of transition metal catalysts on low density polyethylene hydrogenation for better fuel production.
  • Formulation of catalysts using natural zeolites and transition metals.
  • Hydrogenation of pyrolytic oil with various metal-loaded zeolite catalysts.
  • Assessment of olefin yields and energy content of resulting products.
  • Nickel-based catalysts yielded lower olefin levels of 6.1% and 5.76% for Ni/SNZ and NiMo/SNZ, respectively.
  • CoMo/SNZ catalyst significantly increased carbon content to 87.25% and achieved the highest heating value of 39.95 MJ/kg.

Abstract

The conversion of plastic waste to fuel is a viable approach to address challenges associated with LDPE waste while enhancing energy utilization in pyrolysis. Elevated olefin levels beyond set standards adversely affect exhaust emissions, underscoring the need for hydrogenation. This study comprises multiple phases, including catalyst formulation from natural zeolites, transition metal deposition, and hydrogenation of pyrolytic oil using these catalysts. Results indicate that the Nickel-based catalyst yields a significantly lower olefin yield of 6.1% with Ni/SNZ and 5.76% with NiMo/SNZ, complying with EN228 standards. In contrast, the CoMo/SNZ catalyst significantly increases carbon content to 87.25%, demonstrating improved deoxygenation and achieving the highest HHV of 39.95 MJ/kg, reflecting enhanced liquid product quality for potential alternative fuel applications.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Pulungan et al. (2026) studied this question.

synapsesocial.com/papers/69994ba9873532290d01fcc4https://doi.org/10.62593/2090-2468.1107
Ask AI
Helpful
Bookmark
Share
View Full Paper