4.7 Article

Considerations for waste gasification as an alternative to landfilling in Washington state using decision analysis and optimization

Journal

SUSTAINABLE PRODUCTION AND CONSUMPTION
Volume 12, Issue -, Pages 170-179

Publisher

ELSEVIER
DOI: 10.1016/j.spc.2017.07.004

Keywords

Waste gasification; Landfilling; Analytic hierarchy process (AHP); Linear optimization

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The United States is among the highest waste-producing nations in the world, but unlike many other developed nations, it processes only a fraction of its waste for recycling or energy production. The feasibility of alternatives to landfilling was explored using a multi-criteria decision-making model and a linear optimization model. Specifically, further development of waste gasification inWashington State was considered. In Washington, landfilling is still the primary form of waste management, resulting in significant environmental and social costs. The first stage of the analysis entailed the identification of the most effective gasification method for a plant located in Seattle with the objective of significant waste diversion from the largest waste processing site inWashington, the Roosevelt Regional Landfill. The Analytic Hierarchy Process (AHP) was employed to perform an objective comparison. This process ranked the gasification alternatives using various criteria and determined that steam gasification was superior to the other options, due to capacity and clean byproduct gases. Subsequently, a network optimization model was constructed to compare the cost of steam gasification and landfilling over a ten-year period, determining whether gasification plants would be viable in Seattle and Alaska. Results indicate that the Seattle gasification plant would be a superior option to current landfilling practices while an Alaska plant would be infeasible, in part due to the limited quantity of waste transported from Alaska to Roosevelt. Gasification methods will become more cost-effective as technology evolves, suggesting that currently infeasible methods have future potential.

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