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Title: Environmental-system analysis of solid-waste management

Miscellaneous ·
OSTI ID:5503797

A general discussion of legislative, economic, risk, and policy analyses is presented. The mixed integer programming model serves as a core model to explore a wide variety of options for planning and design in a modern solid waste management system. The optimization criteria cover the interactions of waste generation, source reduction and curbside recycling, collection and transfer, processing and transformation, site selection, waste disposal, tipping fee evaluation, and environmental risks. Several submodels are used in conjunction with the system optimization model. These submodels are related to leachate impacts, air pollutant transport, residual value of new facilities, construction and operating costs, waste combustion practices, and optimal pricing for landfills. The major incineration cost determinants developed in the econometric cost analyses are facility size, as well as type and extent of resource recovery. The leachate impact assessments integrate relationships between hydrology, geology, and groundwater pollution modeling techniques. Consideration of the emissions from waste-to-energy facilities combines atmospheric science and the field of solid waste management. The management issues also involve resource economics and public utility theory by incorporating the concepts of non-renewable resource use over time and the inverse elasticity rule for recovering fixed costs in determining landfill tipping fees. The mutual influences between recycling and incineration are balanced by using optimization and simulation techniques in each unit operation. Numerical illustrations are provided for each individual submodel.

Research Organization:
Cornell Univ., Ithaca, NY (United States)
OSTI ID:
5503797
Resource Relation:
Other Information: Thesis (Ph.D.)
Country of Publication:
United States
Language:
English