1. LESSON 2: CHARACTERISTICS AND QUANTITY OF MSW

2. Goals  Determine why quantification is important  Understand the methodology used to quantify MSW  Become aware of differences among global production rates  Understand factors affecting waste generation rates  Become familiar with per capita generation rates

3. Goals, Cont’d  Explain why it is important to characterize MSW.  Become familiar with MSW descriptors.  Understand the methods used to characterize MSW  Describe the physical, chemical, and biological properties associated with MSW.  Perform calculations using waste composition and properties.

4. RCRA Subtitle D Wastes  MSW  Household hazardous wastes  Municipal sludge  Non-hazardous industrial wastes  Combustion ash  SQG hazardous waste  Construction and Demolition debris  Agricultural wastes  Oil and gas wastes  Mining wastes

5. MSW - RCRA Definition  Durable goods  Non-durable goods  Containers/Packaging  Food wastes  Yard wastes  Miscellaneous inorganics

6. MSW - Textbook Definition  Mixed household waste  recyclables  household hazardous waste  commercial waste  yard waste  litter  bulky items  construction & demolitions waste

7. What are the sources of RCRA Subtitle-D Wastes?  Residential  Commercial  Institutional  Industrial  Agricultural  Treatment Plants  Open Areas (streets, parks, etc.)

8. What is the Nature of RCRA Subtitle-D Wastes?  Organic  Inorganic  Putrescible  Combustible  Recyclable  Hazardous  Infectious

9. Terminology Generated Waste = Disposed (Collected) Waste + Diverted Waste

10. Importance of Generation Rates  Compliance with Federal/state diversion requirements  Equipment selection,  Collection and management decisions  Facilities design

11. Florida MSW Per Capita Generation Rate

13. Landfills Recycle Incineration

14. Factors affecting generation Rates  Source reduction/recycling  Geographic location  Season  Home food waste grinders  Collection Frequency  GNP trend  Population increase  Legislation  Public attitudes  Per capita income  Size of households Population density  Pay As You Throw Programs

15. Waste Composition Studies

16. Methodology Development  Study Planning  Sample Plan  Sampling Procedure  Data Interpretation

17. Sample Plan  Load Selection  Number of Samples

18. Sampling Procedure  Vehicle Unloading  Sample Selection and Retrieval  Container Preparation  Sample Placement  Sorting

19. Waste contents are unloaded for sorting

20. Appropriate mass of material is selected randomly

21. Each load is separated manually by component example - Wood, concrete, plastic, metal, etc.

23. Each component is weighed and weights recorded

26. Components are separated

27. Data Interpretation  Weighted Average based on Generator Source Composition/Distribution  Contamination Adjustment

28. Specific Weight  Values - 600-900 lb/yd 3 as delivered  Function of location, season, storage time, equipment used, processing (compaction, shredding, etc.)

29. Moisture content (MC)  Weight or volume based –Weight: wt. of water/sample wt. MC wet = water/(water+solids) MC dry = water/solids –Volume: vol. of water/sample volume

30. Chemical Composition  Used primarily for combustion and waste to energy (WTE) calculations but can also be used to estimate biological and chemical behaviors  Waste consists of combustible (i.e. paper) and non-combustible materials (i.e. glass)

31. Proximate Analysis  Loss of moisture (temp held at 105 C)  Volatile Combustible Matter (VCM) (temp increased to 950 C, closed crucible)  Fixed Carbon (residue from VCM)  Ash (temp = 950 C, open crucible)

32. Ultimate Analysis  Molecular composition (C, H, N, O, P, etc.)  Table in notes

33. Typical Data on the Ultimate Analysis - Example  Food Wastes –Carbon: 48% –Hydrogen: 6.5% –Oxygen: 37.6% –Nitrogen: 2.6% –Sulfur: 0.4% –Ash: 5%

34. Energy Content  Models are derived from physical composition and from ultimate analysis  Determined through lab calculations using calorimeters  Individual waste component energy contents

35. Empirical Equations  Modified Dulong formula (wet basis): BTU/lb = 145C +610(H2-02/8)+40S + 10N  Model based on proximate analysis Kcal/kg = 45B - 6W B = Combustible volatile matter in MSW (%) W = Water, percent weight on dry basis