Advances in the Development and Optimization of Modular Multi-Residue Briquetting Machines: A Comprehensive Review

Growing demand for renewable and sustainable energy sources has fueled interest in biomass briquetting as a useful technique for turning agricultural and forestry waste into high-density solid biofuels. Emerging as a viable answer is modular multi-residue briquetting equipment since it can process many different types of biomass, is scalable, is simple to maintain and may adapt to changing output needs. Emphasizing machine design, densification processes, material preparation, operational settings and performance assessment, this review critically reviews recent developments in the creation and optimization of modular multi-residue briquetting equipment. The review combines results on how biomass properties, moisture content, particle size, compaction pressure, binder use, die design and temperature affect briquette quality parameters including density, compressive strength, endurance, calorific value and combustion efficiency. Moreover, recent developments in modular design, automation, intelligent control systems, energy- efficient drive mechanisms, and computational optimization methods are examined to show their effects on enhanced machine performance and operational effectiveness. Also covered are current problems: feedstock volatility, die wear, energy use, process standardization and inadequate integration of digital monitoring technology. Emerging research directions noted in the review are Internet of Things (IoT)-enabled monitoring, digital twin technology, artificial intelligence-driven process optimization and sustainable manufacturing techniques for next-generation briquetting systems. This review offers insightful analysis for scientists, equipment designers, legislators and renewable energy professionals trying to advance biomass densification technologies for sustainable energy generation, trash valorization and circular bio-economy development by combining current knowledge and pointing out technical gaps.

@article{nwadinobi2026,
  author  = {Nwadinobi Chibundo Princewill*, Nwakwuribe Victor Chimaoge and Ezeaku Innocent Ikeokwu},
  title   = {{Advances in the Development and Optimization of Modular Multi-Residue Briquetting Machines: A Comprehensive Review}},
  journal = {Journal of Bioresearch},
  year    = {2026},
  doi     = {https://doi.org/10.5281/zenodo.22814607},
}