| Title | Waste management optimization with NLP modeling and waste-to-energy in a circular economy |
|---|---|
| ID_Doc | 20910 |
| Authors | Hernández-Romero, IM; Niño-Caballero, JC; González, LT; Pérez-Rodríguez, M; Flores-Tlacuahuac, A; Montesinos-Castellanos, A |
| Title | Waste management optimization with NLP modeling and waste-to-energy in a circular economy |
| Year | 2024 |
| Published | Scientific Reports, 14, 1 |
| Abstract | This work presents a methodology integrating Non-Linear Programming (NLP) for multi-objective and multi-period optimization, addressing sustainable waste management and energy conversion challenges. It integrates waste-to-energy (WtE) technologies such as Anaerobic Digestion (AD), Incineration (Inc), Gasification (Gsf), and Pyrolysis (Py), and considers thermochemical, technical, economic, and environmental considerations through rigorous non-linear functions. Using Mexico City as a case study, the model develops waste management strategies that balance environmental and economic aims, considering social impacts. A trade-off solution is proposed to address the conflict between objectives. The economical optimal solution generates 1.79M$ with 954 tons of CO2 emissions while the environmental one generates 0.91M$ and reduces emissions by 54%, where 40% is due to gasification technology. Moreover, the environmentally optimal solution, with incineration and gasification generates 9500 MWh/day and 5960 MWh/day, respectively, demonstrates the capacity of the model to support sustainable energy strategies. Finally, this work presents an adaptable framework for sustainable waste management decision-making. |
| https://doi.org/10.1038/s41598-024-69321-7 |
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