Blending based optimisation and pretreatment strategies to enhance anaerobic digestion of poultry manure

dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Enxeñaría Químicagl
dc.contributor.areaÁrea de Enxeñaría e Arquitectura
dc.contributor.authorRodríguez Verde, Iván
dc.contributor.authorRegueiro Abelleira, Leticia
dc.contributor.authorLema Rodicio, Juan Manuel
dc.contributor.authorCarballa Arcos, Marta
dc.date.accessioned2018-07-30T10:51:18Z
dc.date.available2019-11-07T02:00:10Z
dc.date.issued2018
dc.descriptionThis is the accepted manuscript of the following article: Rodriguez-Verde, I., Regueiro, L., Lema, J., & Carballa, M. (2018). Blending based optimisation and pretreatment strategies to enhance anaerobic digestion of poultry manure. Waste Management, 71, 521-531. doi: 10.1016/j.wasman.2017.11.002 © 2018 Elsevier B.V. This manuscript version is made available under the CC-BY-NC-ND 4.0 license (http://creativecommons.org/licenses/by-nc-nd/4.0/)gl
dc.description.abstractAnaerobic digestion of poultry manure is limited by the excessive levels of nitrogen and the high concentration of dry matter. These limitations are usually overcome either by applying procedures to remove nitrogen or by employing pretreatments that allows to solubilise organic matter. In this work, the treatment of poultry manure was enhanced by co-digestion with pig manure through the methodological determination of optimal mixtures combined together with a thermochemical pretreatment coupled to ammonia stripping. The optimum poultry-pig mixture, resulting in a 24%:76% (volume basis) poultry-pig manure, was determined by applying a methodology based on linear programming which calculates the proportions of the blend which returns the maximum methane production while keeping a stable process. Pretreatment batch experiments, consisting of increasing both temperature and pH simultaneously with ammonia stripping process was optimised for a temperature of 90 °C and a pH of 10 resulting in a nitrogen removal efficiency of 72% and a 1.2-fold higher methane production in comparison to the unpretreated mixture. Continuous anaerobic co-digestion of pretreated optimum mixture enhanced the COD removal efficiency by 37% when compared with the treatment of unpretreated feedstock (37% vs 27%, respectively). This study indicates that combining blending optimisation of substrates, thermochemical pretreatments and ammonia stripping procedures prior to anaerobic co-digestion becomes a good strategy to overtake the limitations offered by solid- and nitrogen-rich substrates, such as poultry manuregl
dc.description.peerreviewedSIgl
dc.description.sponsorshipThis research was supported by the European Comission by ManureEcoMine project (ENV.213.6.3-2) and by CDTI through SmartGreenGas project (2014-CE224). The authors belong to CRETUS (AGRUP2015/02) and to the Galician Competitive Research Group GRC 2013-032, both programme co-funded by FEDERgl
dc.identifier.citationRodriguez-Verde, I., Regueiro, L., Lema, J., & Carballa, M. (2018). Blending based optimisation and pretreatment strategies to enhance anaerobic digestion of poultry manure. Waste Management, 71, 521-531. doi: 10.1016/j.wasman.2017.11.002gl
dc.identifier.doi10.1016/j.wasman.2017.11.002
dc.identifier.issn0956-053X
dc.identifier.urihttp://hdl.handle.net/10347/17086
dc.language.isoenggl
dc.publisherElseviergl
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP7/603744
dc.rights© 2018 Elsevier B.V. This manuscript version is made available under the CC-BY-NC-ND 4.0 license (http://creativecommons.org/licenses/by-nc-nd/4.0/)gl
dc.rights.accessRightsopen accessgl
dc.subjectAmmonia inhibitiongl
dc.subjectCo-digestiongl
dc.subjectLignocellulosic materialgl
dc.subjectLivestock wastegl
dc.subjectMethanegl
dc.titleBlending based optimisation and pretreatment strategies to enhance anaerobic digestion of poultry manuregl
dc.typejournal articlegl
dc.type.hasVersionAMgl
dspace.entity.typePublication
relation.isAuthorOfPublication9fbac3ef-9f34-48d3-ad2a-afc25f286f08
relation.isAuthorOfPublicationf574e8ce-1a88-4045-bc74-d48db358fc70
relation.isAuthorOfPublication.latestForDiscovery9fbac3ef-9f34-48d3-ad2a-afc25f286f08

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