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循环经济中基于自然语言处理建模的废物管理优化及废物能源化利用

Waste management optimization with NLP modeling and waste-to-energy in a circular economy.

作者信息

Hernández-Romero Ilse María, Niño-Caballero Javier Camilo, González Lucy T, Pérez-Rodríguez Michael, Flores-Tlacuahuac Antonio, Montesinos-Castellanos Alejandro

机构信息

Tecnologico de Monterrey, Institute of Advanced Materials for Sustainable Manufacturing, Ave. Eugenio Garza Sada 2501, Monterrey, N.L., 64849, Mexico.

Tecnologico de Monterrey, Escuela de Ingenieria y Ciencias, Ave. Eugenio Garza Sada 2501, Monterrey, N.L., 64849, Mexico.

出版信息

Sci Rep. 2024 Aug 27;14(1):19859. doi: 10.1038/s41598-024-69321-7.

DOI:10.1038/s41598-024-69321-7
PMID:39191830
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11350025/
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 CO 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.

摘要

这项工作提出了一种整合非线性规划(NLP)的方法,用于多目标和多周期优化,以应对可持续废物管理和能源转换挑战。它整合了诸如厌氧消化(AD)、焚烧(Inc)、气化(Gsf)和热解(Py)等废物转化能源(WtE)技术,并通过严格的非线性函数考虑热化学、技术、经济和环境因素。以墨西哥城为例,该模型制定了平衡环境和经济目标并考虑社会影响的废物管理策略。提出了一种权衡解决方案来解决目标之间的冲突。经济最优解决方案产生179万美元,同时排放954吨二氧化碳,而环境最优解决方案产生91万美元,并将排放量减少54%,其中40%归因于气化技术。此外,采用焚烧和气化的环境最优解决方案分别产生9500兆瓦时/天和5960兆瓦时/天,证明了该模型支持可持续能源策略的能力。最后,这项工作提出了一个适用于可持续废物管理决策的框架。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d538/11350025/de884552dbfb/41598_2024_69321_Fig10_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d538/11350025/149f473489ee/41598_2024_69321_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d538/11350025/3f28d40222a8/41598_2024_69321_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d538/11350025/8ab865d3660b/41598_2024_69321_Fig3_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d538/11350025/89aa81dfc3da/41598_2024_69321_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d538/11350025/7b4ac78b0e80/41598_2024_69321_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d538/11350025/c2626cb7484d/41598_2024_69321_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d538/11350025/e088dab44ec8/41598_2024_69321_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d538/11350025/de884552dbfb/41598_2024_69321_Fig10_HTML.jpg

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本文引用的文献

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