Direct numerical simulations of polypropylene gasification in supercritical water

In order to reduce environmental pollution by plastic wastes, supercritical water gasification (SCWG) appears as a promising technology. The present study investigates the SCWG process of polypropylene (PP) waste using particle-resolved direct numerical simulations (PR-DNS). A directional ghost-cell immersed boundary method has been used solve reacting condition, including detailed molecular diffusion models. To validate procedure, coal particle first investigated benchmark, analyzing in detail interphase momentum and heat mass transfer, chemical reactions are analyzed. Surface resulting Stefan flow expand layer around particle, impacting efficiency transfer. Adding then suitable reaction mechanism, PP wastes leading combustible gases is analyzed PR-DNS found be very efficient. temperature an important parameter control efficiency. authors' knowledge, this investigating for it provides interesting information regarding transfer processes their limitations.