Solid Waste Management Holistic Decision Modeling

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Ann Atkins
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1 Solid Waste Management Holistic Decision Modeling Progress of the Study February 26, 2007 at the World Bank Shungo SOEDA NIPPON KOEI CO.,LTD 1 Contents Goal of Study Field Work for Data Collection Progress of Holistic Modeling Summary of Cities' Characteristics Next Steps - Scenarios - Sensitivity Analysis - Timing City Profiles 2 1

,LTD 1 Contents Goal of Study Field Work for Data Collection Progress of Holistic

2 Goal of the Study To provide comparative modeling results and analysis allowing the Bank to develop dependable global guidance on the solid waste management in client countries - Many inappropriate technologies proposed - Different local conditions (climate, economy, demographics) - Trade offs (energy, cost, emissions, carbon finance ) Amman, Buenos Aires, Conakry, Kathmandu, Lahore, Sarajevo, Shanghai, Kawasaki, Atlanta. 3 Treatment Technologies Considered for the Study Collection Composting MSW Landfill Recycling Incineration* Ash Landfill Compost Product End Use Remanufacturing Facility * Incineration can be with or without energy recovery. 4 2

carbon finance ) Amman, Buenos Aires, Conakry, Kathmandu, Lahore, Sarajevo, Shanghai, Kawasaki, Atlanta.

3 Field Work for Data Collection Bank Office (if possible) Local Waste Management Authority Kick off Meeting Other Data Sources (private companies, universities, etc.) Visit to Facilities & Collection Activities Qualitative Observations Photos Wrap-up Meeting 5 Progress of Holistic Modeling 1. Reviewed data collection sheets 2. Analyzed waste composition Recyclables content Organics content Moisture Content, Heat value 3. Inputted data into MSW DST to build tailored versions for each city 4. Ran preliminary scenarios 5. Defining final waste management scenarios to analyze 6 3

) Visit to Facilities & Collection Activities Qualitative Observations Photos Wrap-up Meeting 5 Progress of Holistic Modeling 1.

4 Scenarios to be analyzed for each city Base case of open dumping (assuming 30% burning) Mixed waste collection and management via one primary technology: Recycling Using Manual Sorting Recycling Using Mechanical Sorting Composting Using Manual Turning Composting Using Windrow Turner Incineration Incineration With Energy Recovery Landfill With Gas Venting Landfill With Gas Collection and Flaring Landfill With Gas Collection and Energy Recovery 7 Scenarios (continued) Waste management with the objective to: Maximize Materials Recovery (via recycling and composting) Maximize Energy Recovery Minimize Volume of Waste Landfilled Minimize Carbon (Global Warming) Emissions Minimize Particulate (Global Dimming )Emissions 8 4

Landfill With Gas Collection and Flaring Landfill With Gas Collection and Energy Recovery 7 Scenarios (continued) Waste management with the objective to: Maximize Materials Recovery

5 Key Parameters for Sensitivity Analysis Future trends may greatly affect the modeling result and decision making Need to reduce number of scenarios Land Prices Energy (Electricity and Fuels) Prices Labor Wages Recyclables Prices Compost Prices Carbon Finance Price Landfill Gas Collection Efficiency Waste Collection Frequency Source Segregated Collection Capture Rate 9 Summary of Cities' Characteristics Cities GNI/capita Population Waste Generation (kg/personday) Percent Compostable Percent Recyclable Electricity Cost ($US/kWh) Energy Breakdown Diesel Fuel ($US/gal) Collector Wage ($US/personhour) Precipitation (mm/yr) Temperature (Deg C) Hydro (90.4%)/ Kathmandu 270 1,098, NF NF Others (0.51%) Residual Oil (74.5%)/ Conakry 370 2,000, Hydro (22.5%)/ Diesel Oil (3.0%) Coal (7.6%)/ Natural Gas (50.3%)/ Lahore 690 8,000, NF Distillate Oil (29.4%)/ ~30 Hydro (11.0%)/ Nuclear (1.2%) Hydro (51.1%)/ Sarajevo 2, , Coal (47.3%) Natural Gas (94.7%)/Distillate Oil Amman 2,500 2,125, (4.7%)/Hydropower (0.7%) Coal (1.1%)/ Natural Gas (45.8%)/ Residual Oil (4.6%)/ Buenos Aires 4,470 2,776, Distillate Oil (0.5%)/ Nuclear (9.0%)/ Hydropower (39.0%) Hydropower (5.2%)/ 1,740 Fossil Fuel (90.2%)/ Shanghai 17,784, (7,000) Nuclear (4.5%)/ Other (0.1%) Coal (24.7%)/ Natural Gas (25.7%)/ Distillate Oil (8.2%)/ Kawasaki 38,980 1,327, Hydropower (10.0%)/ Nuclear (29.1%)/ Others (2.3%) Atlanta 43, , Coal/Nuclear Note : 1) NF means Not Found 2) Compostable involves yard waste, woods, grass, food waste and animal waste 3) Recyclable involves paper, plastic, metal, glass 4) The value in the colum of GNI is based on World Development Indicators on database (Atlas nethodology), World Bank, 1 July in ) The blanket data indicates GRP data. The data source for Shanghai is " 6) Percent Recyclable data in Saraevo includes mixed paper, mixed plastic and PET 10 5

Characteristics Cities GNI/capita Population Waste Generation (kg/personday) Percent Compostable Percent Recyclable Electricity Cost ($US/kWh) Energy Breakdown Diesel Fuel ($US/gal) Collector Wage

6 Next Steps Working with scenarios Review sensitivities Timing of Draft Final Report of Peer Review Timing of Final Report 11 City Profiles Amman, Jordan Buenos Aires, Argentina Conakry, Guinea Kathmandu, Nepal Lahore, Pakistan Sarajevo, Bosnia & Herzegovina Shanghai, China Kawasaki, Japan Atlanta, Georgia, USA 12 6

Buenos Aires, Argentina Conakry, Guinea Kathmandu, Nepal Lahore, Pakistan

This fact sheet provides an overview of options for managing solid

What Is Integrated Solid Waste Management? This fact sheet provides an overview of options for managing solid waste, identifies the important issues you should consider when planning for solid waste management,