A critical review of sustianable refuse-derived fuel production in waste processing facility

Junaid Tahir, Rafiq Ahmad*, Pablo Martinez Rodriguez

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Transformation of municipal solid waste into refuse-derived fuel (RDF) offers a promising solution for waste-to-energy conversion. In this context, a systematic literature review and scientometric analysis is conducted showing refinements in RDF application for energy-from-waste (EfW) initiatives, forging a comprehensive approach to sustainable waste management. Key aspects of EfW projects using RDF are examined, focusing on methodologies for calorific value estimation, waste characterization, quality assessment, and public–private partnerships (PPPs). Emphasis is placed on the necessity of accurate energy potential measurement and advanced characterization techniques, including computer vision, for effective waste sorting and analysis. Quality assessments of RDF are highlighted for their impact on decisions within the biomass fuel supply chain, emphasizing the importance of optimizing energy recovery. PPP’s are identified as key to successful execution of EfW projects, with their roles, trends, and risk modeling crucial for fostering effective collaboration between public and private sectors. The study concludes by identifying research gaps, such as the deficiency of new frameworks to support technical assessments of waste processing facilities for strategic, tactical, and operational improvements. Additionally, RDF applications in EfW are limited because of inconsistent waste sorting, deviation from specifications and environmental regulations. This approach aims to enhance sustainable waste management and energy recovery, guiding future research and implementation in the field.
Original languageEnglish
Article number100687
Number of pages18
JournalEnergy Conversion and Management: X
Volume24
Early online date30 Aug 2024
DOIs
Publication statusE-pub ahead of print - 30 Aug 2024

Keywords

  • waste management
  • computer vision
  • Refuse derived fuel
  • Waste characterization
  • public private partnerships
  • high heating value

Cite this