A predictive multi-distribution activation energy modeling (DAEM) of the thermal behavior of model bituminized waste products (BWP) via thermogravimetry
摘要
In view of the future storage and disposal of bituminized waste products (BWP), models are needed to predict the burning characteristics and combustion behavior of model BWPs. Pyrolysis plays a crucial role as the “source term" in fire scenarios, understanding pyrolysis kinetics is key for understanding ignition and fire growth. Kinetic models are often used as sub-models within more comprehensive models. These models are preferred to have a physical meaning. Indeed, fitting models are widely used and accepted in fire research. To capture the intricate details of the reactions, a multi-distributed activation energy model (DAEM) is proposed. The thermal degradation of three materials was studied and analyzed using thermogravimetric analysis (TGA). Two TGA datasets were collected under an inert atmosphere. Isothermal tests were used for model identification, while dynamic tests served for validation. The materials analyzed were pure bitumen and two model BWPs: bitumen with 20% magnesium nitrate hydrate and bitumen with 30% sodium nitrate. A set of kinetic parameters were identified for each material, including distribution shape and number. Good agreement was achieved between experimental and numerical TGA results. For bitumen-