Models - 1 Waste Influence of selective collections COMPOSTINGCOMPOSTING Case study: composting Domestic Waste
Models - 2 Summary Available data and simulation objective phase model Simulation of selective collections Influence on the composition of residual waste Simulation of Bio Reactor BRS Influence of selective collections on the composition of fermented waste
Models - 3 Method Collection of data on the operation of the existing process Data reconciliation Material Flow Analysis Set of coherent data for the complete flowsheet Set of coherent data for the complete flowsheet Calibration of the simulation models Simulation of the operation based on scenarii (hypothesis on feed, equipment) Objective: Flowsheet optimization Objective: Flowsheet optimization Simulator of actual situation Design of additional equipment Design of additional equipment
Models - 4 Composting plant Iron Balistics Compost Losses Bales < 150 mm > 150 mm DW Composting plant Bio Reactor > 18 mm < 18 mm Overband Press Balistic separator Selective Collections Compost standard
Models - 5 Available data and objective > 20 mm : MODECOM categories on dry matter 1 - Putrescibles, 2 - Papers, 3 - Cardboards, 4 - Complexes, 5 -Textiles, 6 - Sanitary textiles, 7 - Plastics, 8 - Combustibles, 9 -Glass, 10 - Metals, 11 - Incombustibles, 12 - Special waste < 20 mm : analysis of inerts MONS (Non Synthetic Organic Matter) + Plastic Films + Other plastics + Metals + Glass-Stones-Limestone (‘ Minerals ’) + Wasted Mineral Matter < 2 mm (‘ Reste ’)= 100% NB : The standard NF Compost Urbain for compost quality is based on inerts analysis
Models - 6 Modelling the matter Available data Marque NF Compost quality Flowrate Size distribution MODECOM Categories > 100 mm mm < 20 mm Inerts Analysis > 100 mm mm < 20 mm Heavy Metals per MODECOM categories Heavy Metals per category of inerts
Models - 7 Phase model 3 criterion Particle size Composition : MODECOM + Description inerts analysis User defined sub-populations 1 : Heavy metals per MODECOM category Hierarchy types Component garde per size Sub-pop. 1 per component Chemical reactions Transformation matrix MODECOM Description inerts analysis
Models - 8 Composition of Domestic waste
Models - 9 Metals in categories
Models - 10 Selective Collections
Models - 11 BRS : Bio Reacteur Stabilisateur Loss in organic matter: % No losses in heavy metals Size reduction Reactor Output
Models - 12 Principal operations in BRS A representation of unit operations during composting Calibration of level 0 models with coherent data Reactions Separator Mill
Models - 13 Conversion
Models - 14 Composting
Models - 15 Mill
Models - 16 Selective Collections
Models - 17 Product composition
Models - 18 Conclusion Level 0 models allow to reach the objective of simulation But, simulation results should be compared to reality to estimate their precision (non predictive simulation) If validated models of level 1, 2 or 3 have been used, results should have been more reliable