OECD Modelling Plastics Use Projections Workshop - Yoni Shiran

OECD Modelling Plastics Use Projections Workshop - Yoni Shiran

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  1Source: Source OECD Presentation June22nd, 2020
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  2Source: Source
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  3 To provide arobust and evidence-driven analysis to policy-makers, industry leaders, investors and other key stakeholders which highlights the economic, environmental and social implications of different pathways towards stopping ocean plastic pollution. PROJECT OBJECTIVE
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  4 E3 Sorting losses 1 Ona global level, imports and exports are zero-sum; however, they represent relevant mass flows between archetypes UNMANAGED N: Engineered landfills RECYCLINGCOLLECTION & SORTING O: Thermal treatment with energy recovery DISPOSAL A2 P: Fuels fraction from chemical conversion E2 K2M2 G: Exported waste1 H1 F1 D1 E1 Plastic reduction Plastic substitution Virgin plastic Separate system map Mechanically recycled plastics I1 Plastic flow Nexus Points of mass accumulation Legend: Pre-consumer K: Chemical conversion to monomers and hydrocarbons Box ‘0’: Demand for plastic utility Recycled monomers & hydrocarbons PRODUCTION & CONSUMPTION Post collection mismanaged F2 F3 L2 A1 B1 D2 D4 Uncollected/littering B2 B:Collectedplastic A: Total plastic waste Recycled plastic polymers K1 Recycled monomers and hydrocarbons H: Imported waste1 I:Closed-loop mechanical recycling J:Open-loop mechanical recycling M1 M: Unsorted managed waste L: Unsorted waste L1 T: Terrestrial pollution S: Open burning V3 T1 Q3 V2 R1 W: Ocean pollution U: Direct discard to water R2Q2 Q: Uncollected waste R: Mismanaged waste Q1 U1 V:Dumpsites/ unsanitary landfill Dumpsite recoveryV1 W1 Post-leakage collection Post collection disposal Losses I2 K3 J1 Losses Losses Sorting Losses E3 F: Formal Sorting (MRF) F4 E: Mixed collectionC2 C1C: Formal collection Global plastic system map Collected for recycling D3 D: Informal collection & sorting
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  5 What is uniqueabout this project: 1 Focus on solutions: Quantitative analysis of both “upstream” and “downstream” solutions across economic, environmental and social dimensions 2 Scientific rigor and diverse input: Conducted with 17 experts representing all geographies and full value chain; more than 100 experts involved; scientifically peer-reviewed 3 System-wide model: Provides full costed analysis for different pathways to 2040 through a comprehensive and dynamic system model developed with Oxford University comprising 68 variables 4 Broad scope: Covers all geographies, entire value chain, and includes all municipal solid plastic waste and key sources of microplastics; maritime sources analysed qualitatively 5 Highly granular: Analysis differentiates between 8 geography- specific, 3 plastic categories, and 4 microplastic categories
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  6 Crispian Lao (Philippines) Founder andPresident Philippine Alliance for Recycling and Material Sustainability Dr. Linda Godfrey (South Africa) Principal Researcher, Council for Scientific and Industrial Research Daniella Russo (US) Co-founder and CEO - Think Beyond Plastic Dr. Richard Thompson (UK) Professor, Uni. of Plymouth, Biological & Marine Science School Malati Gadgil (India) Independent advisor and consultant, informal sector waste management Prof. Costas Velis (UK) Professor – Uni. of Leeds (Co- Chair at ISWA) Dr. Ussif Rashid Sumaila (Canada) Professor at University of British Columbia Prof. Richard Bailey (UK) Modelling expert, Oxford University Dr. Julien Boucher (France) Co-Founder - Shaping Environ- mental Action Dr. Arturo Castillo (UK) Professor of Env. Policy at Imperial Dr. Mao Da (China) Chairman, Shenzhen Zero Waste; Director, Toxics-Free China Enzo Favoino (Italy) Researcher, Scuola Agraria del Parco di Monza Jill Boughton (Philippines) Co-founder Waste2Worth Daniela Lerario (Brazil) CEO - Triciclos Brazil Edward Kosior (UK) Managing Director - Nextek Ellie Moss (US) Senior Advisor, Encourage Capital Jutta Gutberlet (Canada) Professor, Victoria University We have assembled a multi-disciplinary expert panel compromising 17 global plastic experts spanning all continents and the entire value chain
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  7 1 UNEP andISWA 2015:Global Waste Management Outlook. Note: Coastal is defined as within 50km from the coast according to Jambeck et Al., Science, 2015. Largest leakage rivers are defined according to Lebreton et Al., Nat. Com., 2017. We have disaggregated the world into ‘geographic archetypes’ and conducted the entire analysis for each archetype separately Urban areas Rural areas High-income economy Upper-middle income Lower-middle income Low-income economy 1 2 3 4 Archetype 1U 2U 3U 4U 1R 2R 3R 4R Country income (highly correlated with existing infrastructure, collection rates, technology deployment and policy1) Population density (highly correlated with waste volumes and economic costs of collection / processing; impact choice of solutions1) A B
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  8 We have modelled6 scenarios
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  11Source: Source
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  12Source: Source For launchevent info please email: [email protected]