Modeling and optimization of hybrid leachate treatment processes and scale-up of the process: Review

Autor: Mateus S. Amaral, Carlos Alberto dos Santos Vaz, Gisella Rossana Lamas Samanamud, Cristiane Medina Finzi Quintão, Ana Paula Fonseca Maia de Urzedo, Messias Borges Silva, Luzia Lima Rezende Naves, Fabiano Luiz Naves, Alexandre Boscaro França, Carla Cristina Almeida Loures, Juan Canellas Bosch Neto, Ricardo Soares da Silva
Rok vydání: 2021
Předmět:
Zdroj: Journal of Cleaner Production. 312:127732
ISSN: 0959-6526
Popis: Optimized models of landfill leachate processes that could lead to the production of fuel oils from the pyrolysis of plastics and cultivation of microalgae, can be high-efficient and sustainable activities. Studies using advanced oxidation processes in combination with biological processes showed to be efficient in treating leachate. The complexity of this type of waste, as well as the continuous modification of its properties due to local seasonality, prevent kinetic and thermodynamic studies to predict the steady state at the final disposal. Environmental management system using Lean Six sigma accompanied with process modeling and optimization tools, whether statistical or computational, generate reliable models. These models can reproduce reductions on contaminants by confirming the initial conditions of each leachate enabling the scale-up of the process. This Review provides data survey, types of treatment and models linked to optimization tools in wastewater decontamination processes from municipal solid waste (MSW). This review includes the synthesis and proposal for treatment and management from of the classification of the garbage until the generation of leachate, aiming to contributing to future researches in the leachate treatment.
Databáze: OpenAIRE