Forecasting the value of recyclable waste streams for a circular economy transition in Orlando, Florida
Date
2018-04
Author
Advisors
Mullin, Megan
Bowdish, Lawrence
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Abstract
The circular economy is a paradigm that views waste as a valuable resource, creating
value for local economies through waste recycling and reuse. Despite the benefits
of waste recovery, the national recycling rate has remained stagnant around 34% for
the past decade in the U.S. This Master’s Project for Duke University’s Nicholas School
of the Environment aimed to quantify the economic potential of improving recycling
rates in the Orlando Metropolitan Statistical Area (MSA) through: (1) forecasting
the value of recyclable municipal solid waste generated in Orlando MSA, and; (2) conducting
a benefit-cost analysis (BCA) of building a material recovery facility (MRF) in Orlando.
Forecasts and BCA were conducted by incorporating uncertainties from commodity price
volatility. Results from the study suggested that values of single-stream recycling
waste in Orlando MSA may reach $100 million in 2027, from $72 million in 2015. Cardboard
and aluminum cans accounted for 70-90% of the waste stream’s value, while only accounting
for 32% of the weight. The BCA revealed that building a MRF in Orlando MSA is expected
to be profitable for the municipality. The cost for building the MRF was expected
to be recovered as early as in the fourth year. Sensitivity analysis showed that an
initial processing cost of $85 per ton, a $10 increase from the base model’s $75 per
ton, made building a MRF expected to be unprofitable. The results from this study
may not apply to other municipalities, since Orlando MSA already had a functioning
collection infrastructure for recyclables. The study also raised questions regarding
the optimal design of recycling programs.
Type
Master's projectPermalink
https://hdl.handle.net/10161/16563Citation
Kanaoka, Koichi (2018). Forecasting the value of recyclable waste streams for a circular economy transition
in Orlando, Florida. Master's project, Duke University. Retrieved from https://hdl.handle.net/10161/16563.Collections
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