首页|Characterization and optimization of a used cooking oils collection chain - Study case Bogota, Colombia
Characterization and optimization of a used cooking oils collection chain - Study case Bogota, Colombia
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NSTL
To improve used cooking oil (UCO) reclaiming, this work focused on the characterization and optimization of an existing UCO collection chain in Bogota, Colombia. First, based upon historical data from a major collector, production sites were identified, classified, and available volumes were quantified. Also, collection practices, routes, and frequencies were characterized, and inventory of resources consumed during the process were determined. Afterwards, a computational model of the existing collection chain was constructed and implemented in Python~(TM). In this case, a vehicle routing problem approximation was used by mean of weighted Hamiltonian paths. Weights were defined according to economic and environmental indicators calculated as collection costs and equivalent CO2 emissions, respectively. Routes and traveling times were estimated by correlation of geometrical distances between locations and real-time distances from Google Maps~(TM) routes, identifying a dilation factor of 1.33 and an average speed of 9.6 km/h. Finally, an optimization of the collection routes was made using a genetic algorithm inside an integer search. As a result, it was possible to identify the set of routes that minimize costs and CO2 emissions for the collection scheme. Average collection costs of 0.37 USD/kg UCO and average equivalent CO2 emissions of 117.2 g CO2/kg were obtained.
Used cooking oilSupply chainOptimizationRouting problemCO2 emissions
Juan S. Rodriguez、Alvaro Orjuela、Juan G. Cadavid
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Department of Chemical and Environmental Engineering, Universidad Nacional de Colombia, Bogota D.C. 111321, Colombia
NSTL
