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Fifth Framework Program

Fifth Framework Program. A id in the management and European comparison of Municipal Solid WAS te T reatment methods for a global and sustainable approach Use of the simulator. AWAST general context. The MSW management is a major problem for the local communities of the EU.

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Fifth Framework Program

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  1. Fifth Framework Program Aid in the management and European comparisonof Municipal Solid WASte Treatment methodsfor a global and sustainable approachUse of the simulator

  2. AWAST general context The MSW management is a major problem for the local communities of the EU. • The current situation: Lack of methodologies and softwares to: • Define, • Evaluate, • Optimise or adapt waste treatment decisions and to • Meet the EC level progress targets. • The need: • Tools for modelling the effect of reduction, re-use or treatment of waste on the GLOBAL evaluation on MSW management.

  3. AWAST objective • Supplying a simulation tool to help in: • The choice of suitable MSW treatment methods. • The optimised management of processing (assessment, control, analysis of the existing situation). • The optimisation of the installations. • Through studying three European local communities: • Compare approaches at both the global and focused levels. • Considering TECHNICAL, ENERGETIC and ECONOMIC aspects, and also social and environmental aspects. in a strictly industrial logic

  4. Basic use - direct simulation • Supplied data • Feed stream • All process models (C, S, T, L, BT, TT) • Results calculated by process models • All streams • Energy balance • Costs Process 1 Process 3 Process 2 Process 4

  5. Results of the project - R&D • System definition - WP1 • Flowsheet and phases • Energetic models - WP2 • Incineration and Landfill models • Costs models - WP3 • Collection, sorting, incineration, composting, landfill models

  6. Results of the project - R&D • Collection, transport, sorting, landfill - WP4 • Collection model and software (.xls) • Biological treatments - WP5 • Database of 3 plants completely defined • Fermentation model • Thermal treatments - WP6 • Grate furnace incineration model

  7. Results of the project - Application • Simulator - WP7 • A software for design and optimisation of Municipal Waste Management systems • Scenarios - WP8 • Case studies - WP9 • Simulator of Orleans (250 kinha) • situation 2002, prevision 2003, hypothesis biowaste collection/treatment 2003 • Simulator of Stuttgart (360 kinha) • actual situation to finalise (problems of data) • Simulator of Lisbon (2000 kinha) • 2 communities of municipalities, 1 actual situation achieved

  8. Advantages of simulator Two types of use: Definition of strategies following a big scale approach (country, region, local community): • image, state of an existing situation • study of consequences (economical) of changes of a given scheme. ‚More technical analysis following an approach at process scale: • optimisation of an existing treatment plant. • Determination of possible progress.

  9. Interest of the simulator • The choice of suitable MSW treatment methods • Process based approach • The optimised management of processing (assessment, control, analysis of the existing situation) • Geographically limitted approach? • Conservation of knowledge • The optimisation of the installations • Benchmark: performance definition and analysis

  10. Process based approach • Comparison of performances • total matter

  11. Comparison of performances • Total Carbon

  12. Comparison of performance • Lead

  13. Global Orléans 2003 without biowaste collection Bulky waste 16626 Hazardous 296 Oil-fat 113 Ferr. Metal 3339 Glass 7325 Direct Recycling 27699 t/y Bulky waste 4208 t/y Wood 4889 t/y Paper-cardboard 16559 t/y Bulky waste 1450 Mixed second 13480 Recycl. fract 24916 Paper 735 Sorting Plants 40582 t/y Plastics 1780 t/y Metals 2500 t/y Composite pack 325 t/y 1781 t/y Residues 8540 t/y COLLECTION Incineration Plant 109305 t/y Mixed waste 22494 Therm. Fract 74763 Oil-fat 125 Scrap 2826 t/y Bottom ash 22924 t/y Heavy 3384 t/y Org waste 3908 Biowaste 15886 Mixed waste 931 Biol Fraction 4131 Scrap 45 t/y Composting Plants 24856 t/y Compost 9724 t/y Compost residues 6663 t/y Ash - Filter cake 2257 t/y Road waste 9589 Bulky waste 16967 Mixed waste 46307 Org. waste 2987 Landfill 79889 t/y 10% 100% 15% 37% 9% 28%

  14. Global Orléans 2003 without biowaste collection - Cost Additional direct cost Indirect cost 688,667 € 4,993,690 € 100% 8% 2,194,393 € Direct Recycling Bulky waste 14% Wood Paper-cardboard 47% 13,187,305 € Sorting Plants 12,827,283 € Plastics Metals Composite pack COLLECTION 28,066,473 € Residues 23% Incineration Plant 35,150,477 € 6, 503,526 € Scrap Bottom ash 38% Heavy 2% 448,209 € Scrap Composting Plants 9,854,359 € Compost Compost residues 11% Ash - Filter cake 20% 50,683 € Landfill 6,231,765 € 30% 7%

  15. Global Orléans 2003 without biowaste collection - Energy Direct Recycling Collection 8,070,932 MJ Bulky waste Wood Paper-cardboard Collection 7,858,001 MJ Transport 189,490 MJ Sorting Plants Plastics Transport 3.450,670 MJ Metals Composite pack Residues COLLECTION TRANSPORT 20,624,745 MJ 1,085,337 MJ Incineration Plant - 182,341,152 MJ + 108,000,000 MJ Collection 3,368,222 MJ Transport 193,053 MJ Scrap Transport 1,493,632 MJ Bottom ash Heavy Collection 890,906 MJ Transport 77,629 MJ Scrap Composting Plants Transport 109,585 MJ Compost Compost residues Ash - Filter cake Collection 446,683 MJ Transport 625,165 MJ Landfill-28,980,880 MJ

  16. Global Orléans 2003 without biowaste collection - Paper flowrate 0.1% Bulky waste 0 Hazardous 0 Oil-fat 0 Ferrous Metal 33.5 Glass 1.5 Direct Recycling 35 t/y Bulky waste 0 t/y Wood 0 t/y 32.3% Paper-cardboard 16559 t/y Bulky waste 0 Mixed second 2130 Recycl. fract 16138 Paper 665 Sorting Plants 18932 t/y Plastics 0 t/y Metals 33 t/y Composite pack 0 t/y 213 t/y Residues 2160 t/y COLLECTION 45.5% Incineration Plant 26673 t/y Mixed waste 5123 Therm. Fract 18691 Oil-fat 0 Scrap 0 t/y Bottom ash 215 t/y Heavy 699 t/y 2.8% Org waste 53 Biowaste 318 Mixed waste 233 Biol Fraction 1032 Scrap 0 t/y Composting Plants 1636 t/y Compost 82 t/y Compost residues 133 t/y Ash - Filter cake 0 t/y Road waste 3356 Bulky waste 0 Mixed waste 7792 Org. waste 0 Landfill 11361 t/y 19.4%

  17. Global Orléans 2003 without biowaste collection - Pb flowrate 11.4% Bulky waste 7.5 Hazardous 0.3 Oil-fat 0 Ferrous Metal 0.7 Glass 2.9 Direct Recycling 11.4 t/y Bulky waste 10.3 t/y Wood 0.2 t/y 12.1% Paper-cardboard 0.9 t/y Bulky waste 0.6 Mixed second 6.6 Recycl. fract 4.7 Paper 0.1 Sorting Plants 12.1 t/y Plastics 0.6 t/y Metals 3.9 t/y Composite pack 0.3 t/y 0.7 t/y Residues 2.8 t/y COLLECTION 35.4% Incineration Plant 35.3 t/y Mixed waste 8 Therm. Fract 23.3 Oil-fat 0 Scrap 1 t/y Bottom ash 30.7 t/y Heavy 1.2 t/y Org waste 0.9 Biowaste 1.7 Mixed waste 0.3 Biol Fraction 1.3 4% Scrap 0 t/y Composting Plants 4 t/y Compost 2.1 t/y Compost residues 0.8 t/y Ash - Filter cake 3.5 t/y Road waste 2.8 Bulky waste 7.6 Mixed waste 21.8 Org. waste 0.1 Disposal 37 t/y 37.1%

  18. Scenario 1 • New collection of biowaste • Closing of MBT plant (composting of mixed waste) • Redirecting mixed waste to incineration • Composting of biowaste in Meziere plant

  19. Global Orléans 2003 with biowaste collection 10% Bulky waste 16626 Hazardous 296 Oil-fat 113 Ferrous Metal 3339 Glass 7325 Direct Recycling 27699 t/y 100% Bulky waste 4208 t/y Wood 4889 t/y 15% Paper-cardboard 16559 t/y Bulky waste 1450 Mixed second 13480 Recycl. fract 24916 Paper 736 Sorting Plants 40582 t/y Plastics 1780 t/y Metals 2500 t/y Composite pack 325 t/y 1781 t/y Residues 8540 t/y COLLECTION 32% Incineration Plant 94553 t/y Mixed waste 23424.5 Therm. Fract 62463 Oil-fat 125 Scrap 2760 t/y Bottom ash 21660 t/y Heavy 0.5 t/y 14% Org waste 3909 Biowaste 32314 Mixed waste 0 Biol Fraction 1 Scrap 0 t/y Composting Plants 36224 t/y Compost 19638 t/y Compost residues 12378 t/y Ash - Filter cake 2058 t/y Road waste 9589 Bulky waste 16967 Mixed waste 46307 Org. waste 2987 Landfill 79689 t/y 28%

  20. Global Orléans 2003 with biowaste collection - Cost Additional direct cost Indirect cost 935,074 € 5,217,814 € 2,194,393 € Direct Recycling Bulky waste Wood Paper-cardboard 13,181,375 € Sorting Plants 12,827,283 € Plastics Metals Composite pack COLLECTION 32,672,725 € Residues Incineration Plant 30,712,362 € 6, 777,041 € Scrap Bottom ash Heavy 4,316,391 € Scrap Composting Plants 15,703,489 € Compost Compost residues Ash - Filter cake 50,683 € Landfill 6,231,765 €

  21. Global Orléans 2003 with biowaste collection - Energy Direct Recycling Collection 11,077,965 MJ Bulky waste Wood Paper-cardboard Collection 7,858,001 MJ Transport 189,490 MJ Sorting Plants Plastics Transport 3,480,363 MJ Metals Composite pack Residues COLLECTION TRANSPORT 20,624,745 MJ 1,143,112 MJ Incineration Plant - 182,341,152 MJ + 108,000,000 MJ Collection 3,381,496 MJ Transport 250,828 MJ Scrap Transport 1,418,906 MJ Bottom ash Heavy Collection 694,840 MJ Transport 77,629 MJ Scrap Composting Plants Transport 217,756 MJ Compost Compost residues Ash - Filter cake Collection 446,683 MJ Transport 625,165 MJ Disposal- 28,980,880 MJ

  22. Potential impacts - BAT • Definition of clear performance criteria • based of matter recovery AND elimination • based on emissions • based on substances recovery • Process efficiency is not only due to technology • operation • maintenance • optimisation • for composting: influence of Pre and Post treatments • BREF expert group, operators • training • analysis of real process performance based on real data

  23. City of tomorrow • The optimised management of processing (assessment, control, analysis of the existing situation) • capabilities to keep and transfer knowledge • monitoring of the effects of policies of MSW management • City planning • geographical limits in system definition • incompatible with life cycle approach ??? • Valuation of import/export: definition of responsabilities at local decision level • Benchmarking of management systems • Capabilities of local staff • Financing capabilities

  24. Knowledge conservation possibilites(1/4) • Bank of icons

  25. Knowledge conservation possibilites(2/4) • Bank of streams

  26. Knowledge conservation possibilites(3/4) • Input • Flowrates • Sizes, • Categories, • Metals • etc.. Unit operation MODEL Output (s) • Bank of models Parameters

  27. Knowledge conservation possibilites(4/4) • Bank of simulators

  28. Place of simulation in policy making • Supply reliable (objective) basic data

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