DC FieldValueLanguage
dc.contributor.authorJouannais, Pierre-
dc.contributor.authorHindersin, Stefan-
dc.contributor.authorLöhn, Sarah-
dc.contributor.authorPizzol, Massimo-
dc.date.accessioned2022-09-14T17:26:37Z-
dc.date.available2022-09-14T17:26:37Z-
dc.date.issued2022-07-19-
dc.identifier.citationEnvironmental Science and Technology 56 (14) : 10454-10464 (2022-07-19)de_DE
dc.identifier.issn0013-936Xde_DE
dc.identifier.urihttp://hdl.handle.net/11420/13614-
dc.description.abstractMicroalgae are currently being investigated for their promising metabolites but assessing the environmental impact of producing these compounds remains a challenge. Microalgae cultivation performance results from the complex interaction of biological, technological, geographical, and physical factors, which bioengineers try to optimize during the upscaling process. The path from the discovery of a microalgal compound to its industrial production is therefore highly uncertain. Nonetheless, it is key to anticipate the potential environmental impacts associated with the future production of a microalgal target compound. This is achieved in this study by developing an ex-ante, parameterized, and consequential LCA model that performs dynamic simulations of microalgae cultivation. The model is applied to calculate the environmental impacts of 9000 stochastically generated combinations of photobioreactor geometries and operational setups. The demonstration of the model is done for a fictive microalgal strain, parameterized to resemble Chlorella vulgaris, and a fictive target compound assumed to be a carbohydrate. The simulations are performed in Aalborg, Denmark, and Granada, Spain to appreciate geographical variability, which highly affects the requirements for thermoregulation. Open-source documentation allows full reproducibility and further use of the model for the ex-ante assessment of microalgal products.en
dc.language.isoende_DE
dc.relation.ispartofEnvironmental science & technologyde_DE
dc.subjectlife cycle assessmentde_DE
dc.subjectmicroalgaede_DE
dc.subjectphotobioreactorde_DE
dc.subjectuncertaintyde_DE
dc.subjectupscalingde_DE
dc.titleStochastic LCA Model of Upscaling the Production of Microalgal Compoundsde_DE
dc.typeArticlede_DE
dc.type.diniarticle-
dcterms.DCMITypeText-
tuhh.abstract.englishMicroalgae are currently being investigated for their promising metabolites but assessing the environmental impact of producing these compounds remains a challenge. Microalgae cultivation performance results from the complex interaction of biological, technological, geographical, and physical factors, which bioengineers try to optimize during the upscaling process. The path from the discovery of a microalgal compound to its industrial production is therefore highly uncertain. Nonetheless, it is key to anticipate the potential environmental impacts associated with the future production of a microalgal target compound. This is achieved in this study by developing an ex-ante, parameterized, and consequential LCA model that performs dynamic simulations of microalgae cultivation. The model is applied to calculate the environmental impacts of 9000 stochastically generated combinations of photobioreactor geometries and operational setups. The demonstration of the model is done for a fictive microalgal strain, parameterized to resemble Chlorella vulgaris, and a fictive target compound assumed to be a carbohydrate. The simulations are performed in Aalborg, Denmark, and Granada, Spain to appreciate geographical variability, which highly affects the requirements for thermoregulation. Open-source documentation allows full reproducibility and further use of the model for the ex-ante assessment of microalgal products.de_DE
tuhh.publisher.doi10.1021/acs.est.2c00372-
tuhh.publication.instituteUmwelttechnik und Energiewirtschaft V-9de_DE
tuhh.type.opus(wissenschaftlicher) Artikel-
dc.type.driverarticle-
dc.type.casraiJournal Article-
tuhh.container.issue14de_DE
tuhh.container.volume56de_DE
tuhh.container.startpage10454de_DE
tuhh.container.endpage10464de_DE
dc.identifier.pmid35763500-
dc.identifier.scopus2-s2.0-85134721038-
datacite.resourceTypeArticle-
datacite.resourceTypeGeneralJournalArticle-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.openairetypeArticle-
item.creatorOrcidJouannais, Pierre-
item.creatorOrcidHindersin, Stefan-
item.creatorOrcidLöhn, Sarah-
item.creatorOrcidPizzol, Massimo-
item.languageiso639-1en-
item.creatorGNDJouannais, Pierre-
item.creatorGNDHindersin, Stefan-
item.creatorGNDLöhn, Sarah-
item.creatorGNDPizzol, Massimo-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.mappedtypeArticle-
crisitem.author.deptUmwelttechnik und Energiewirtschaft V-9-
crisitem.author.orcid0000-0002-1539-2727-
crisitem.author.orcid0000-0002-2701-706X-
crisitem.author.parentorgStudiendekanat Verfahrenstechnik (V)-
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