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A step forward in the management of multiple wastewater streams by using an ant colony optimization-based method with bounded pheromone

Wastewater treatment systems (WTSs) have as an objective to efficiently treat the wastewater flows that they receive. Wastewater treatment plants (WWTP) process optimization is generally based on biological process optimization, which is usually related to the quantity and quality of the WWTP inflows. The inflow contributions sometimes destabilize the biological system due to flow and nutrient load limitations, with a higher impact in small and decentralized systems. Their management is a complex task due to the multiple constituents and different flows, but it should be the first step for a general, optimal and comprehensive optimization. Ant colony optimization (ACO) has demonstrated the ability to solve these complex problems, as metaheuristic methodologies, using an iterative and probabilistic procedure. This work proposes to solve the treatment influent composition by using two ACO algorithms. Both algorithms apply bounded pheromone trails to resolve the failures in the search for an optimal solution limited by inflow constraints. The results present high efficacy in maximizing the total wastewater inflow that fulfils all the constraints and improving the WWTP management with different inflows and constraints

M. Verdaguer, H. Monclús and M. Poch would like to acknowl-edge the funding of MINECO through project CTQ2014-53718-R. LEQUIA has been recognized as a consolidatedresearch group by the Catalan Government with code 2014-SGR-1168. Also LEQUIA would like to thank the University ofGirona (MPCUdG2016/137) for its financial support

© Process Safety and Environmental Protection, 2016, vol. 102, p. 799-809

Elsevier

Author: Verdaguer Planas, Marta
Clara i Lloret, Narcís
Monclús Sales, Hèctor
Poch, Manuel
Date: 2016 June 18
Abstract: Wastewater treatment systems (WTSs) have as an objective to efficiently treat the wastewater flows that they receive. Wastewater treatment plants (WWTP) process optimization is generally based on biological process optimization, which is usually related to the quantity and quality of the WWTP inflows. The inflow contributions sometimes destabilize the biological system due to flow and nutrient load limitations, with a higher impact in small and decentralized systems. Their management is a complex task due to the multiple constituents and different flows, but it should be the first step for a general, optimal and comprehensive optimization. Ant colony optimization (ACO) has demonstrated the ability to solve these complex problems, as metaheuristic methodologies, using an iterative and probabilistic procedure. This work proposes to solve the treatment influent composition by using two ACO algorithms. Both algorithms apply bounded pheromone trails to resolve the failures in the search for an optimal solution limited by inflow constraints. The results present high efficacy in maximizing the total wastewater inflow that fulfils all the constraints and improving the WWTP management with different inflows and constraints
M. Verdaguer, H. Monclús and M. Poch would like to acknowl-edge the funding of MINECO through project CTQ2014-53718-R. LEQUIA has been recognized as a consolidatedresearch group by the Catalan Government with code 2014-SGR-1168. Also LEQUIA would like to thank the University ofGirona (MPCUdG2016/137) for its financial support
Format: application/pdf
ISSN: 0957-5820
Document access: http://hdl.handle.net/10256/12545
Language: eng
Publisher: Elsevier
Collection: MINECO/PE 2015-2017/CTQ2014-53718-R
Reproducció digital del document publicat a: http://dx.doi.org/10.1016/j.psep.2016.06.017
Articles publicats (D-EQATA)
Is part of: © Process Safety and Environmental Protection, 2016, vol. 102, p. 799-809
Rights: Tots els drets reservats
Subject: Aigües residuals -- Plantes de tractament
Sewage disposal plants
Aigües residuals -- Depuració -- Tractament biològic
Sewage -- Purification -- Biological treatment
Title: A step forward in the management of multiple wastewater streams by using an ant colony optimization-based method with bounded pheromone
Type: info:eu-repo/semantics/article
Repository: DUGiDocs

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