Application of macro material flow modeling to the decision making process for integrated waste management systems

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Description

Computer models have been used for almost a decade to model and analyze various aspects of solid waste management Commercially available models exist for estimating the capital and operating costs of landfills, waste-to-energy facilities and compost systems and for optimizing system performance along a single dimension (e.g. cost or transportation distance). An alternative to the use of currently available models is the more flexible macro material flow modeling approach in which a macro scale or regional level approach is taken. Waste materials are tracked through the complete integrated waste management cycle from generation through recycling and reuse, and finally to ... continued below

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11 p.

Creation Information

Vigil, S.A. & Holter, G.M. April 1, 1995.

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Authors

  • Vigil, S.A. California Polytechnic State Univ., San Luis Obispo, CA (United States)
  • Holter, G.M. Battelle Pacific Northwest Laboratory, Richland, WA (United States)

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  • Pacific Northwest Laboratory
    Publisher Info: Pacific Northwest Lab., Richland, WA (United States)
    Place of Publication: Richland, Washington

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Description

Computer models have been used for almost a decade to model and analyze various aspects of solid waste management Commercially available models exist for estimating the capital and operating costs of landfills, waste-to-energy facilities and compost systems and for optimizing system performance along a single dimension (e.g. cost or transportation distance). An alternative to the use of currently available models is the more flexible macro material flow modeling approach in which a macro scale or regional level approach is taken. Waste materials are tracked through the complete integrated waste management cycle from generation through recycling and reuse, and finally to ultimate disposal. Such an approach has been applied by the authors to two different applications. The STELLA simulation language (for Macintosh computers) was used to model the solid waste management system of Puerto Rico. The model incorporated population projections for all 78 municipalities in Puerto Rico from 1990 to 2010, solid waste generation factors, remaining life for the existing landfills, and projected startup time for new facilities. The Pacific Northwest Laboratory has used the SimScript simulation language (for Windows computers) to model the management of solid and hazardous wastes produced during cleanup and remediation activities at the Hanford Nuclear Site.

Physical Description

11 p.

Notes

INIS; OSTI as DE95014635

Source

  • Air & Waste Management Association international speciality conference on thermal treatment and waste-to-energy technologies for solid waste management, Washington, DC (United States), 18-21 Apr 1995

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Identifier

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  • Other: DE95014635
  • Report No.: PNL-SA--26147
  • Report No.: CONF-9504119--1
  • Grant Number: AC06-76RL01830
  • Office of Scientific & Technical Information Report Number: 88597
  • Archival Resource Key: ark:/67531/metadc791573

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

Office of Scientific and Technical Information (OSTI) is the Department of Energy (DOE) office that collects, preserves, and disseminates DOE-sponsored research and development (R&D) results that are the outcomes of R&D projects or other funded activities at DOE labs and facilities nationwide and grantees at universities and other institutions.

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Creation Date

  • April 1, 1995

Added to The UNT Digital Library

  • Dec. 19, 2015, 7:14 p.m.

Description Last Updated

  • April 7, 2016, 3:27 p.m.

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Vigil, S.A. & Holter, G.M. Application of macro material flow modeling to the decision making process for integrated waste management systems, article, April 1, 1995; Richland, Washington. (digital.library.unt.edu/ark:/67531/metadc791573/: accessed April 25, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.