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Selecting sewage sludge treatment alternatives in modern wastewater treatment plants using environmental decision support systems

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URI: http://hdl.handle.net/10498/35225

DOI: 10.1016/J.JCLEPRO.2014.11.021

ISSN: 0959-6526

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Author/s
Garrido-Baserba, M.; Molinos-Senante, M.; Abelleira Pereira, José MaríaAuthority UCA; Fernández Güelfo, Luis AlbertoAuthority UCA; Poch, M.; Hernández-Sancho, F.
Date
2015-11-16
Department
Ingeniería Química y Tecnología de Alimentos
Source
Journal of Cleaner Production, Volume 107, Pages 410 - 419
Abstract
The importance of the sewage sludge treatment within the field of wastewater treatment plants (WWTPs) suggests new dimensions of analysis where the relevance of economic criteria combined with the associated environmental issues are increasing the sludge management complexity. For supporting the decision process and for comparative purposes, this study assesses five alternative configurations for sludge treatment, namely: mesophilic and termophilic anaerobic digestion plus composting, incineration, gasification, and supercritical water oxidation (SCWO). The global warming potential (GWP) and the annual cash flow of each alternative are used to estimate a composite indicator for each alternative. Stakeholders' preferences are integrated into the assessment through the development of five scenarios prioritizing economic or environmental aspects. A case study for a 1 million person equivalent WWTP proved that SCWO is the most adequate option if economic and environmental criteria are considered equally important. However, if the economic assessment is prioritized over the environmental one, thermophilic anaerobic digestion followed by composting turned out to be the most appropriate option. The proposed approach contributes to the implementation of more suitable sewage sludge treatment lines since it provides an indicator for each alternative embracing economic and GWP issues.
Subjects
Composite indicator; Cost-benefit analysis (CBA); Environmental decision support system; Global warming potential (GWP); Knowledge-based methodology; Sewage sludge treatment technologies
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