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Optimal management of substrates in anaerobic co-digestion: An ant colony algorithm approach

Sewage sludge (SWS) is inevitably produced in urban wastewater treatment plants (WWTPs). The treatment of SWS on site at small WWTPs is not economical; therefore, the SWS is typically transported to an alternative SWS treatment center. There is increased interest in the use of anaerobic digestion (AnD) with co-digestion as an SWS treatment alternative. Although the availability of different co-substrates has been ignored in most of the previous studies, it is an essential issue for the optimization of AnD co-digestion. In a pioneering approach, this paper applies an Ant-Colony-Optimization (ACO) algorithm that maximizes the generation of biogas through AnD co-digestion in order to optimize the discharge of organic waste from different waste sources in real-time. An empirical application is developed based on a virtual case study that involves organic waste from urban WWTPs and agrifood activities. The results illustrate the dominate role of toxicity levels in selecting contributions to the AnD input. The methodology and case study proposed in this paper demonstrate the usefulness of the ACO approach in supporting a decision process that contributes to improving the sustainability of organic waste and SWS management

M. Verdaguer and M. Poch would like to acknowledge the funding of MINECO – Spain through the project CTQ2014-53718-R

© Waste Management, 2016, vol. 50, p. 49-54

Elsevier

Author: Verdaguer Planas, Marta
Molinos-Senante, María
Poch, Manuel
Date: 2016 February 8
Abstract: Sewage sludge (SWS) is inevitably produced in urban wastewater treatment plants (WWTPs). The treatment of SWS on site at small WWTPs is not economical; therefore, the SWS is typically transported to an alternative SWS treatment center. There is increased interest in the use of anaerobic digestion (AnD) with co-digestion as an SWS treatment alternative. Although the availability of different co-substrates has been ignored in most of the previous studies, it is an essential issue for the optimization of AnD co-digestion. In a pioneering approach, this paper applies an Ant-Colony-Optimization (ACO) algorithm that maximizes the generation of biogas through AnD co-digestion in order to optimize the discharge of organic waste from different waste sources in real-time. An empirical application is developed based on a virtual case study that involves organic waste from urban WWTPs and agrifood activities. The results illustrate the dominate role of toxicity levels in selecting contributions to the AnD input. The methodology and case study proposed in this paper demonstrate the usefulness of the ACO approach in supporting a decision process that contributes to improving the sustainability of organic waste and SWS management
M. Verdaguer and M. Poch would like to acknowledge the funding of MINECO – Spain through the project CTQ2014-53718-R
Format: application/pdf
Citation: 0956053X
Document access: http://hdl.handle.net/10256/12538
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.wasman.2016.01.047
Articles publicats (D-EQATA)
Is part of: © Waste Management, 2016, vol. 50, p. 49-54
Rights: Tots els drets reservats
Subject: Aigües residuals -- Plantes de tractament
Sewage disposal plants
Digestió anaeròbia
Anaerobic digestion
Aigües residuals -- Depuració -- Tractament biològic
Sewage -- Purification -- Biological treatment
Title: Optimal management of substrates in anaerobic co-digestion: An ant colony algorithm approach
Type: info:eu-repo/semantics/article
Repository: DUGiDocs

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