Annual assessment of the wastewater treatment capacity of the microalga Scenedesmus almeriensis and optimisation of operational conditions
Abstract The depth of the culture and the dilution rate have a striking effect on the biomass productivity and the nutrient recovery capacity of microalgal cultures. The combination of culture depth and dilution rate that allows to maximise the performance of the system depends on environmental cond...
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oai:doaj.org-article:bbca2ad15cdc4d879cfb2887534ebcb02021-11-08T10:47:58ZAnnual assessment of the wastewater treatment capacity of the microalga Scenedesmus almeriensis and optimisation of operational conditions10.1038/s41598-021-01163-z2045-2322https://doaj.org/article/bbca2ad15cdc4d879cfb2887534ebcb02021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-01163-zhttps://doaj.org/toc/2045-2322Abstract The depth of the culture and the dilution rate have a striking effect on the biomass productivity and the nutrient recovery capacity of microalgal cultures. The combination of culture depth and dilution rate that allows to maximise the performance of the system depends on environmental conditions. In the current study, a response surface methodology was used to explore the relationship between the two most relevant operational conditions and the biomass productivity achieved in 8.3 m2 pilot-scale raceways operated using urban wastewater. Four polynomial models were developed, one for each season of the year. The software predicted biomass productivities of 12.3, 25.6, 32.7, and 18.9 g·m−2·day−1 in winter, spring, summer, and autumn, respectively. The models were further validated at pilot-scale with R 2 values ranging within 0.81 and 0.91, depending on the season. Lower culture depths had the advantage of minimising nitrification and stripping but allow to process a lower volume of wastewater per surface area. Biomass productivity was higher at culture depths of 0.05 m, when compared to 0.12 and 0.20 m, while the optimal dilution rate was season-dependent. Results reported herein are useful for optimising the biomass productivity of raceway reactors located outdoors throughout the year.Ana Sánchez-ZuranoAinoa Morillas-EspañaCintia Gómez-SerranoMartina CiardiGabriel AciénTomás LafargaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021) |
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Medicine R Science Q Ana Sánchez-Zurano Ainoa Morillas-España Cintia Gómez-Serrano Martina Ciardi Gabriel Acién Tomás Lafarga Annual assessment of the wastewater treatment capacity of the microalga Scenedesmus almeriensis and optimisation of operational conditions |
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Abstract The depth of the culture and the dilution rate have a striking effect on the biomass productivity and the nutrient recovery capacity of microalgal cultures. The combination of culture depth and dilution rate that allows to maximise the performance of the system depends on environmental conditions. In the current study, a response surface methodology was used to explore the relationship between the two most relevant operational conditions and the biomass productivity achieved in 8.3 m2 pilot-scale raceways operated using urban wastewater. Four polynomial models were developed, one for each season of the year. The software predicted biomass productivities of 12.3, 25.6, 32.7, and 18.9 g·m−2·day−1 in winter, spring, summer, and autumn, respectively. The models were further validated at pilot-scale with R 2 values ranging within 0.81 and 0.91, depending on the season. Lower culture depths had the advantage of minimising nitrification and stripping but allow to process a lower volume of wastewater per surface area. Biomass productivity was higher at culture depths of 0.05 m, when compared to 0.12 and 0.20 m, while the optimal dilution rate was season-dependent. Results reported herein are useful for optimising the biomass productivity of raceway reactors located outdoors throughout the year. |
format |
article |
author |
Ana Sánchez-Zurano Ainoa Morillas-España Cintia Gómez-Serrano Martina Ciardi Gabriel Acién Tomás Lafarga |
author_facet |
Ana Sánchez-Zurano Ainoa Morillas-España Cintia Gómez-Serrano Martina Ciardi Gabriel Acién Tomás Lafarga |
author_sort |
Ana Sánchez-Zurano |
title |
Annual assessment of the wastewater treatment capacity of the microalga Scenedesmus almeriensis and optimisation of operational conditions |
title_short |
Annual assessment of the wastewater treatment capacity of the microalga Scenedesmus almeriensis and optimisation of operational conditions |
title_full |
Annual assessment of the wastewater treatment capacity of the microalga Scenedesmus almeriensis and optimisation of operational conditions |
title_fullStr |
Annual assessment of the wastewater treatment capacity of the microalga Scenedesmus almeriensis and optimisation of operational conditions |
title_full_unstemmed |
Annual assessment of the wastewater treatment capacity of the microalga Scenedesmus almeriensis and optimisation of operational conditions |
title_sort |
annual assessment of the wastewater treatment capacity of the microalga scenedesmus almeriensis and optimisation of operational conditions |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/bbca2ad15cdc4d879cfb2887534ebcb0 |
work_keys_str_mv |
AT anasanchezzurano annualassessmentofthewastewatertreatmentcapacityofthemicroalgascenedesmusalmeriensisandoptimisationofoperationalconditions AT ainoamorillasespana annualassessmentofthewastewatertreatmentcapacityofthemicroalgascenedesmusalmeriensisandoptimisationofoperationalconditions AT cintiagomezserrano annualassessmentofthewastewatertreatmentcapacityofthemicroalgascenedesmusalmeriensisandoptimisationofoperationalconditions AT martinaciardi annualassessmentofthewastewatertreatmentcapacityofthemicroalgascenedesmusalmeriensisandoptimisationofoperationalconditions AT gabrielacien annualassessmentofthewastewatertreatmentcapacityofthemicroalgascenedesmusalmeriensisandoptimisationofoperationalconditions AT tomaslafarga annualassessmentofthewastewatertreatmentcapacityofthemicroalgascenedesmusalmeriensisandoptimisationofoperationalconditions |
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