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Validation of a decision support tool for wastewater treatment selection

Wastewater treatment selection is a complex task usually addressed by applying separate tools for the correct assessment of multi-criteria evaluation. Novedar_EDSS integrates technical, environmental, economic and social assessment capabilities in one single platform. The aim of this work is to evaluate and demonstrate the capabilities of this environmental decision support system (EDSS). For that purpose, 4 case studies of real projects were selected to validate the results in the EDSS by comparing them with those from the study of alternatives performed by the decision makers. Moreover, 1 conceptual case study was applied to support the selection of the most properly strategy for plant retrofitting. Results have demonstrated that the EDSS provides key aspects when deciding the retrofitting process to apply and, when compared to real projects, it recommends analogue treatments as those applied in the projects, ranking them in the same order. Therefore, results in the validation process performed show that this tool provides a reliable basis to support decision makers to select properly treatment alternatives in wastewater treatment plant pre-design

This work was partially supported by Doctorat Industrial 2013-DI-038 (AGAUR and SUEZ) and by the Spanish Ministry of Economy and Competitiveness (CTQ2014-53718-R). The authors would like to thank EU-Cost Action Water2020 (ECOST-STSMES1202-110614-044095). LEQUIA and ICRA were recognized as consolidated research groups by the Catalan Government with codes 2014-SGR-1168 and 2014-SGR-291, respectively

Elsevier

Manager: Ministerio de Econom铆a y Competitividad (Espanya)
Author: Castillo Llorens, Alba
Porro, Jose
Garrido Baserba, Manel
Rosso, D.
Renzi, D.
Fatone, F.
G贸mez, Vicente
Comas Matas, Joaquim
Poch, Manuel
Abstract: Wastewater treatment selection is a complex task usually addressed by applying separate tools for the correct assessment of multi-criteria evaluation. Novedar_EDSS integrates technical, environmental, economic and social assessment capabilities in one single platform. The aim of this work is to evaluate and demonstrate the capabilities of this environmental decision support system (EDSS). For that purpose, 4 case studies of real projects were selected to validate the results in the EDSS by comparing them with those from the study of alternatives performed by the decision makers. Moreover, 1 conceptual case study was applied to support the selection of the most properly strategy for plant retrofitting. Results have demonstrated that the EDSS provides key aspects when deciding the retrofitting process to apply and, when compared to real projects, it recommends analogue treatments as those applied in the projects, ranking them in the same order. Therefore, results in the validation process performed show that this tool provides a reliable basis to support decision makers to select properly treatment alternatives in wastewater treatment plant pre-design
This work was partially supported by Doctorat Industrial 2013-DI-038 (AGAUR and SUEZ) and by the Spanish Ministry of Economy and Competitiveness (CTQ2014-53718-R). The authors would like to thank EU-Cost Action Water2020 (ECOST-STSMES1202-110614-044095). LEQUIA and ICRA were recognized as consolidated research groups by the Catalan Government with codes 2014-SGR-1168 and 2014-SGR-291, respectively
Format: application/pdf
Document access: http://hdl.handle.net/10256/13481
Language: eng
Publisher: Elsevier
Collection: info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jenvman.2016.09.087
info:eu-repo/semantics/altIdentifier/issn/0301-4797
info:eu-repo/semantics/altIdentifier/eissn/1095-8630
info:eu-repo/grantAgreement/MINECO//CTQ2014-53718-R/ES/TECNOLOGIAS INNOVADORAS PARA LA MEJORA DE BIOGAS: DESDE LA INVESTIGACION BASICA A LA EVALUACION DE TECNOLOGIAS/
Rights: Tots els drets reservats
Subject: Aig眉es residuals -- Depuraci贸
Sewage -- Purification
Title: Validation of a decision support tool for wastewater treatment selection
Type: info:eu-repo/semantics/article
Repository: DUGiDocs

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