| 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 |
| DOI |
10.1038/s41598-024-69321-7 |
| 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. |
| Author Keywords |
Municipal Solid Waste (MSW); Energy conversion; Waste- to-Energy; Multi-objective optimization; Social Carbon Cost (SCC); Decision-making framework |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:001299817400028 |
| WoS Category |
Multidisciplinary Sciences |
| Research Area |
Science & Technology - Other Topics |
| PDF |
https://doi.org/10.1038/s41598-024-69321-7
|