An optimised control system to steer the transition from anaerobic mono- to co-digestion in full-scale plants

dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Enxeñaría Químicagl
dc.contributor.areaÁrea de Enxeñaría e Arquitectura
dc.contributor.authorTaboada Santos, Antón
dc.contributor.authorCarballa Arcos, Marta
dc.contributor.authorMorales Pereira, Nicolás
dc.contributor.authorVázquez Padín, José Ramón
dc.contributor.authorLema Rodicio, Juan Manuel
dc.contributor.authorGutiérrez Costa, Ramiro
dc.date.accessioned2019-05-07T09:44:10Z
dc.date.available2020-04-01T01:00:10Z
dc.date.issued2019-05-01
dc.descriptionDespite the rapid increase of anaerobic co-digestion works over the last years, the very small number of pilot- and full-scale studies available in the literature is a major barrier to its full-scale implementation. In this paper, a control strategy methodology was applied in a full-scale sludge digester to safely steer the transition from anaerobic mono- to co-digestion and to maximize methane production.gl
dc.description.abstractTraditional wastewater treatment plants (WWTPs) are electrical consumers, with a usual high demand in the range of 0.3 to 0.6 kWh/m3 of wastewater treated. Their digesters are commonly oversized, and consequently operated at low organic loading rates (OLRs). This opens a great opportunity for anaerobic co-digestion (AcoD) as an interesting technology to increase methane productivity and the electrical self-production in WWTPs. However, there is a quite limited implementation of AcoD at full-scale plants, since the transition from mono- to co-digestion and the further AcoD optimisation is a crucial and delicate step that could lead to the inhibition of the process if not thoroughly controlled. In this study, a methodology based on an optimum control strategy is explained in detail and it was applied to safely and optimally steer the transition from mono- to co-digestion and to maximize methane production during AcoD. A lab-scale anaerobic digester of 14 L mimicking the full-scale one (3,500 m3) was operated 30 days in advance to anticipate and if needed correct any operational destabilization that might occurr. As a result, the treatment of sewage sludge with two co-substrates (coming from a pig slaughterhouse and from a frying industry), which accounted for just 11% of the feeding flowrate, at a hydraulic retention time of 20 days allowed to raise the OLR and the methane production by 2-fold and 3-fold, respectively, increasing the self-produced electricity from 25% to 75% of the total demand of the WWTP. The diagnosis indicators proved to be accurate to take decisions concerning wastes blending and the strategy of increasing OLR. Besides, the proposed control system provides the steps to ensure a safe transition from anaerobic mono- to co-digestion and further optimisation at full-scale plantsgl
dc.description.peerreviewedSIgl
dc.description.sponsorshipThis work was supported by SmartGreenGas project (Spanish Government, AEI, 2014-CE224). The authors from Universidade de Santiago de Compostela belong to the Galician Competitive Research Group ED431C 2017/029 and to the CRETUS Strategic Partnership (AGRUP2017/01). All these programs are co-funded by FEDER (EU)gl
dc.identifier.citationTaboada-Santos, A., Carballa, M., Morales, N., Vázquez-Padín, J., Gutierrez, R., & Lema, J. (2019). An optimised control system to steer the transition from anaerobic mono- to co-digestion in full-scale plants. Environ. Sci.: Water Res. Technol., 5, 1004-1011. doi: 10.1039/c9ew00033jgl
dc.identifier.doi10.1039/C9EW00033J
dc.identifier.essn2053-1419
dc.identifier.issn2053-1400
dc.identifier.urihttp://hdl.handle.net/10347/18756
dc.language.isoenggl
dc.publisherRoyal Society of Chemistrygl
dc.relation.publisherversionhttps://doi.org/10.1039/C9EW00033Jgl
dc.rights© The Royal Society of Chemistry 2019gl
dc.rights.accessRightsopen accessgl
dc.titleAn optimised control system to steer the transition from anaerobic mono- to co-digestion in full-scale plantsgl
dc.typejournal articlegl
dc.type.hasVersionAMgl
dspace.entity.typePublication
relation.isAuthorOfPublicationf574e8ce-1a88-4045-bc74-d48db358fc70
relation.isAuthorOfPublication9fbac3ef-9f34-48d3-ad2a-afc25f286f08
relation.isAuthorOfPublication.latestForDiscoveryf574e8ce-1a88-4045-bc74-d48db358fc70

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
2019_envsciwrt_taboada_optimised.pdf
Size:
617.75 KB
Format:
Adobe Portable Document Format
Description:
Artigo principal