Is SCENA a good approach for side-stream integrated treatment from an environmental and economic point of view?
Autor: | Nicola Frison, Francesco Fatone, D. Renzi, Stefano Longo, Almudena Hospido |
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Přispěvatelé: | Universidade de Santiago de Compostela. Departamento de Enxeñaría Química |
Jazyk: | angličtina |
Rok vydání: | 2017 |
Předmět: |
Engineering
Environmental Engineering Biosolids Nitrogen 0208 environmental biotechnology 02 engineering and technology Wastewater 010501 environmental sciences Global Warming Waste Disposal Fluid 7. Clean energy 01 natural sciences 12. Responsible consumption Monte carlo analysis Sludge phosphorus availability Short cut enhanced nutrient abatement (SCENA) Side-stream treatment Life cycle cost (LCC) 11. Sustainability Recycling Fertilizers Waste Management and Disposal Effluent Life-cycle assessment Uncertainty analysis 0105 earth and related environmental sciences Water Science and Technology Civil and Structural Engineering Sewage Waste management business.industry Life cycle analysis (LCA) Ecological Modeling Environmental engineering Phosphorus Eutrophication Pollution Environmentally friendly 6. Clean water 020801 environmental engineering Investigación::33 Ciencias tecnológicas::3303 ingeniería y tecnología químicas [Materias] 13. Climate action Electricity business |
Zdroj: | Water Research Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela instname |
Popis: | The environmental and economic benefits and burdens of including the first Short Cut Enhanced Nutrient Abatement (SCENA) into a real municipal wastewater treatment plant were evaluated using life cycle assessment (LCA) and life cycle cost (LCC). The implications of accomplishing nitrogen (N) removal and phosphorus (P) recovery via nitrite in the side stream were assessed taking into account the actual effluent quality improvement, the changes in the electricity and chemical consumption, N2O, CO2 and CH4 emissions and the effects of land application of biosolids, among others. In addition, a case-specific estimation of the P availability when sludge is applied to land, therefore replacing conventional fertilizer, was performed. Furthermore, to account for the variability in input parameters, and to address the related uncertainties, Monte Carlo simulation was applied. The analysis revealed that SCENA in the side stream is an economic and environmentally friendly solution compared to the traditional plant layout with no side-stream treatment, thanks to the reduction of energy and chemical use for the removal of N and P, respectively. The uncertainty analysis proved the validity of the LCA results for global warming potential and impact categories related to the consumption of fossil-based electricity and chemicals, while robust conclusions could not be drawn on freshwater eutrophication and toxicity-related impact categories. Furthermore, three optimization scenarios were also evaluated proving that the performance of the WWTP can be further improved by, for instance, substituting gravitational for mechanical thickening of the sludge or changing the operational strategy to the chemically enhanced primary treatment, although this second alternative will increase the operational cost by 5%. Finally, the outcomes show that shifting P removal from chemical precipitation in the main line to biologically enhanced uptake in the side stream is key to reducing chemicals use, thus the operational cost, and increasing the environmental benefit of synthetic fertilizers replacement S. Longo and A. Hospido belong to the Galician Competitive Research Group GRC2013-032 and to the CRETUS strategic Partnership (AGRUP2015/02), co-funded by FEDER (EU). Besides, S. Longo and A. Hospido are supported by ‘ENERWATER’ Coordination Support Action that has received founding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 649819, while N. Frison, F. Fatone and D. Renzi are supported by ‘SMART-Plant’ Innovation Action that has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 690323. The authors would also like to thank the reviewers for their valuable comments SI |
Databáze: | OpenAIRE |
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