Concept Design and Optimization of Msw Management System

Abstract

The maximum recovery of recyclables from municipal solid waste (MSW) using material recovery facility (MRF) technologies is determined. Two waste streams at Spangdahlem AB, Germany are analyzed; stationary container wastes and commingled recyclables. Three schemes are considered, one for each waste stream, and one for both. Multi-criteria decision making is the methodology. The criteria are recovery and annual benefit minus cost (B-C). Recovery is determined using the recovery factor transfer function of Diaz et al. (1982). Each technology, or unit operation, in a sequence is independent because particle size distribution of each waste component is considered. B-C is based on revenue from sold recyclables, tipping fees saved by not landfilling separated waste, and manual labor and amortized equipment costs. Six unit operations are considered: eddy current separator (ECS), magnet, air classifier, screen, manual sort, and shredder. Sequences one to six operations long are considered. Three heuristics eliminate 42,179 of 55,986 potential sequences as infeasible. The result is domination by a MRF to process both wastes and a tradeoff between 35.7% recovery of the total at an annual B-C of $0.95 million and recovery of 35.6% at an annual B-C of $1.02 million. Hand sort recovers the most, and is economical.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1999
Accession Number
ADA361791

Entities

People

  • James R. Palmer

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Artificial Intelligence
  • Civil Engineering
  • Construction
  • Dacron
  • Eddy Currents
  • Engineers
  • Environmental Restoration And Remediation
  • Materials
  • Materials Science
  • Materials Testing
  • Medical Personnel
  • Particle Size
  • Separators
  • Spreadsheet Software
  • Waste Disposal Facilities
  • Waste Management

Readers

  • Environmental Engineering.
  • Graph Algorithms and Convex Optimization.