Integration of swine manure anaerobic digestion and digestate nutrients removal/recovery under a circular economy concept
The application of the circular economy concept should utilize the cycles of nature to preserve materials, energy and nutrients for economic use. A full-scale pig farm plant was developed and validated, showing how it is possible to integrate a circular economy concept into a wastewater treatment sy...
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Veröffentlicht in: | Journal of environmental management 2022-01, Vol.301, p.113825-113825, Article 113825 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | The application of the circular economy concept should utilize the cycles of nature to preserve materials, energy and nutrients for economic use. A full-scale pig farm plant was developed and validated, showing how it is possible to integrate a circular economy concept into a wastewater treatment system capable of recovering energy, nutrients and enabling water reuse. A low-cost swine wastewater treatment system consisting of several treatment modules such as solid-liquid separation, anaerobic digestion, biological nitrogen removal by nitrification/denitrification and physicochemical phosphorus removal and recovery was able to generate 1880.6 ± 1858.5 kWh d−1 of energy, remove 98.6% of nitrogen and 89.7% of phosphorus present in the swine manure. In addition, it was possible to produce enough fertilizer to fertilize 350 ha per year, considering phosphorus and potassium. In addition, the effluent after the chemical phosphorus removal can be safely used in farm cleaning processes or disposed of in water bodies. Thus, the proposed process has proven to be an environmentally superior swine waste management technology, with a positive impact on water quality and ensuring environmental sustainability in intensive swine production.
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•Energetically self-sufficient, with additional generation of 42,064 kWh month−1.•High efficiencies achieved of 93.6% for TN, 99.4% for TP and 45.7% for K.•Final effluent is safe for reuse with not detectable Salmonella, E. coli and PCV2.•Machine learning was used to predict operational system behavior. |
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ISSN: | 0301-4797 1095-8630 |
DOI: | 10.1016/j.jenvman.2021.113825 |