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EnglishThis paper presents a modelling study aimed at minimizing the environmental foot print of a membrane bioreactor (MBR) for wastewater treatment. Specifically, an integrated model for MBR was employed in view of the management optimization of an MBR biological nutrient removal (BNR) pilot plant in terms of operational costs and direct greenhouse gases emissions. The influence of the operational parameters (OPs) on performance indicators (PIs) was investigated by adopting the Extended-FAST sensitivity analysis method. Further, a multi-objective analysis was performed by applying the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The results show-up that the sludge retention time is the OP mostly affecting all the investigated PIs. By applying the set of optimal OPs, there was a reduction of 48% and 10% of the operational costs and direct emissions, respectively.
Mannina G., Ni B.-J., Ferreira Reboucas T., Cosenza A., & Olsson G. (2020). Minimizing membrane bioreactor environmental footprint by multiple objective optimization. BIORESOURCE TECHNOLOGY, 302 [10.1016/j.biortech.2020.122824].
| Data di pubblicazione: | 2020 | |
| Titolo: | Minimizing membrane bioreactor environmental footprint by multiple objective optimization | |
| Autori: | ||
| Citazione: | Mannina G., Ni B.-J., Ferreira Reboucas T., Cosenza A., & Olsson G. (2020). Minimizing membrane bioreactor environmental footprint by multiple objective optimization. BIORESOURCE TECHNOLOGY, 302 [10.1016/j.biortech.2020.122824]. | |
| Rivista: | ||
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1016/j.biortech.2020.122824 | |
| Abstract: | This paper presents a modelling study aimed at minimizing the environmental foot print of a membrane bioreactor (MBR) for wastewater treatment. Specifically, an integrated model for MBR was employed in view of the management optimization of an MBR biological nutrient removal (BNR) pilot plant in terms of operational costs and direct greenhouse gases emissions. The influence of the operational parameters (OPs) on performance indicators (PIs) was investigated by adopting the Extended-FAST sensitivity analysis method. Further, a multi-objective analysis was performed by applying the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The results show-up that the sludge retention time is the OP mostly affecting all the investigated PIs. By applying the set of optimal OPs, there was a reduction of 48% and 10% of the operational costs and direct emissions, respectively. | |
| Settore Scientifico Disciplinare: | Settore ICAR/03 - Ingegneria Sanitaria-Ambientale | |
| Appare nelle tipologie: | 1.01 Articolo in rivista |
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| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| 2ndSub_Manuscript-Mannina_et_al_Optimization_BJN-GM.pdf | Pre-print | Open Access Visualizza/Apri | ||
| 1-s2.0-S0960852420300936-main.pdf | Articolo completo | Versione Editoriale | Administrator Richiedi una copia |
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