000874379 001__ 874379
000874379 005__ 20240709112157.0
000874379 0247_ $$2doi$$a10.1016/j.jclepro.2020.122476
000874379 0247_ $$2ISSN$$a0959-6526
000874379 0247_ $$2ISSN$$a1879-1786
000874379 0247_ $$2Handle$$a2128/27015
000874379 0247_ $$2altmetric$$aaltmetric:85607138
000874379 0247_ $$2WOS$$aWOS:000569336500014
000874379 037__ $$aFZJ-2020-01401
000874379 082__ $$a330
000874379 1001_ $$0P:(DE-Juel1)170020$$aEggemann, Lea$$b0$$eCorresponding author
000874379 245__ $$aLife Cycle Assessment of a Small-Scale Methanol Production System: A Power-to-Fuel Strategy for Biogas Plants
000874379 260__ $$aAmsterdam [u.a.]$$bElsevier Science$$c2020
000874379 3367_ $$2DRIVER$$aarticle
000874379 3367_ $$2DataCite$$aOutput Types/Journal article
000874379 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1611580759_2888
000874379 3367_ $$2BibTeX$$aARTICLE
000874379 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000874379 3367_ $$00$$2EndNote$$aJournal Article
000874379 520__ $$aPower-to-Fuel (PtF) systems use carbon dioxide and hydrogen as feedstock together for renewable fuel production and can hence contribute to climate change mitigation. This study assesses the environmental performance, from cradle to gate, of an innovative PtF system for synthetic methanol production, which integrates a biogas plant based on manure and straw residues as well as a combined heat and power unit. Under this concept, the residual carbon dioxide from biogas production is used for the synthesis of methanol, whereas hydrogen is obtained via wind-based electrolysis. A life cycle assessment (LCA) is carried out here for 1 kg of methanol produced with the integrated system proposed, operated on a small scale. In view of the multi-functionality of the process, the uncertainty in LCA outcomes is assessed by considering different assumptions on co-product credits for both the electricity from cogeneration and the digestate from the anaerobic digestion of organic raw materials. Additionally, a sensitivity analysis is performed to examine the influence of variability in life cycle inventory data on the results. All the analysed scenarios show significant improvements compared with conventional methanol production from fossil resources (with only a few exceptions for acidification and eutrophication). The sensitivity analysis shows that parameters determining the overall energy requirements as well as methane losses from anaerobic digestion in the PtF system greatly influence its environmental performance, and should be carefully considered in process design and upscaling. In spite of the uncertainty inherent in LCA, the system is presented as an interesting option to produce renewable methanol while contributing towards a circular economy, provided that the economic performance is also beneficial relative to the fossil alternative.
000874379 536__ $$0G:(DE-HGF)POF3-135$$a135 - Fuel Cells (POF3-135)$$cPOF3-135$$fPOF III$$x0
000874379 588__ $$aDataset connected to CrossRef
000874379 7001_ $$0P:(DE-HGF)0$$aEscobar, Neus$$b1
000874379 7001_ $$0P:(DE-Juel1)129902$$aPeters, Ralf$$b2
000874379 7001_ $$0P:(DE-Juel1)129442$$aBurauel, Peter$$b3
000874379 7001_ $$0P:(DE-Juel1)129928$$aStolten, Detlef$$b4
000874379 773__ $$0PERI:(DE-600)2029338-0$$a10.1016/j.jclepro.2020.122476$$gVol. 271, p. 122476 -$$p122476 -$$tJournal of cleaner production$$v271$$x0959-6526$$y2020
000874379 8564_ $$uhttps://juser.fz-juelich.de/record/874379/files/1.%20Manuscript_20200526_final_clean_Post%20Print.pdf$$yPublished on 2020-06-25. Available in OpenAccess from 2022-06-25.
000874379 909CO $$ooai:juser.fz-juelich.de:874379$$pdnbdelivery$$pdriver$$pVDB$$popen_access$$popenaire
000874379 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)170020$$aForschungszentrum Jülich$$b0$$kFZJ
000874379 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-Juel1)170020$$aRWTH Aachen$$b0$$kRWTH
000874379 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)129902$$aForschungszentrum Jülich$$b2$$kFZJ
000874379 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)129442$$aForschungszentrum Jülich$$b3$$kFZJ
000874379 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)129928$$aForschungszentrum Jülich$$b4$$kFZJ
000874379 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-Juel1)129928$$aRWTH Aachen$$b4$$kRWTH
000874379 9131_ $$0G:(DE-HGF)POF3-135$$1G:(DE-HGF)POF3-130$$2G:(DE-HGF)POF3-100$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bEnergie$$lSpeicher und vernetzte Infrastrukturen$$vFuel Cells$$x0
000874379 9141_ $$y2020
000874379 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2020-09-06
000874379 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2020-09-06
000874379 915__ $$0StatID:(DE-HGF)1160$$2StatID$$aDBCoverage$$bCurrent Contents - Engineering, Computing and Technology$$d2020-09-06
000874379 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search$$d2020-09-06
000874379 915__ $$0LIC:(DE-HGF)CCBYNCND4$$2HGFVOC$$aCreative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND 4.0
000874379 915__ $$0StatID:(DE-HGF)0530$$2StatID$$aEmbargoed OpenAccess
000874379 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bJ CLEAN PROD : 2018$$d2020-09-06
000874379 915__ $$0StatID:(DE-HGF)9905$$2StatID$$aIF >= 5$$bJ CLEAN PROD : 2018$$d2020-09-06
000874379 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2020-09-06
000874379 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2020-09-06
000874379 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC$$d2020-09-06
000874379 915__ $$0StatID:(DE-HGF)1060$$2StatID$$aDBCoverage$$bCurrent Contents - Agriculture, Biology and Environmental Sciences$$d2020-09-06
000874379 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2020-09-06
000874379 915__ $$0StatID:(DE-HGF)0420$$2StatID$$aNationallizenz$$d2020-09-06$$wger
000874379 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2020-09-06
000874379 920__ $$lyes
000874379 9201_ $$0I:(DE-Juel1)IEK-14-20191129$$kIEK-14$$lElektrochemische Verfahrenstechnik$$x0
000874379 9201_ $$0I:(DE-Juel1)IEK-3-20101013$$kIEK-3$$lTechnoökonomische Systemanalyse$$x1
000874379 9201_ $$0I:(DE-Juel1)ZC-20120829$$kZC$$lZC$$x2
000874379 9801_ $$aFullTexts
000874379 980__ $$ajournal
000874379 980__ $$aVDB
000874379 980__ $$aUNRESTRICTED
000874379 980__ $$aI:(DE-Juel1)IEK-14-20191129
000874379 980__ $$aI:(DE-Juel1)IEK-3-20101013
000874379 980__ $$aI:(DE-Juel1)ZC-20120829
000874379 981__ $$aI:(DE-Juel1)IET-4-20191129
000874379 981__ $$aI:(DE-Juel1)ICE-2-20101013
000874379 981__ $$aI:(DE-Juel1)IET-4-20191129