000873148 001__ 873148
000873148 005__ 20240712112902.0
000873148 0247_ $$2doi$$a10.1016/j.compchemeng.2019.106712
000873148 0247_ $$2ISSN$$a0098-1354
000873148 0247_ $$2ISSN$$a1873-4375
000873148 0247_ $$2Handle$$a2128/24049
000873148 0247_ $$2WOS$$aWOS:000517756500019
000873148 037__ $$aFZJ-2020-00593
000873148 082__ $$a660
000873148 1001_ $$0P:(DE-HGF)0$$aKönig, Andrea$$b0
000873148 245__ $$aIntegrated design of processes and products: Optimal renewable fuels
000873148 260__ $$aAmsterdam [u.a.]$$bElsevier Science$$c2020
000873148 3367_ $$2DRIVER$$aarticle
000873148 3367_ $$2DataCite$$aOutput Types/Journal article
000873148 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1580137967_31439
000873148 3367_ $$2BibTeX$$aARTICLE
000873148 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000873148 3367_ $$00$$2EndNote$$aJournal Article
000873148 520__ $$aIntegrated product and process design aims at developing innovative products that provide a desired functionality and are produced efficiently. Tailor-made fuels from renewable feedstocks pose a prominent, societally-relevant example. We build upon the integrated design method from Dahmen and Marquardt (2017) and combine it with the production pathway screening tool from Ulonska et al. (2016). We thus design a tailor-made fuel and its optimal production process by minimizing economic and environmental criteria, i.e., cost and global warming impact (GWI). We consider the production of a tailor-made spark-ignition engine fuel from lignocellulosic biomass. Simultaneous process and product design yields optimal multi-component fuels that consist of ethanol, isobutanol, butanone, cyclopentane, and 2-methylfuran with production costs of 18–22 $ per GJ and GWI values of 38–61 kg per GJ. The proposed method and its solution strategies are, in principle, universal and thus also applicable to products other than fuels.
000873148 536__ $$0G:(DE-HGF)POF3-153$$a153 - Assessment of Energy Systems – Addressing Issues of Energy Efficiency and Energy Security (POF3-153)$$cPOF3-153$$fPOF III$$x0
000873148 588__ $$aDataset connected to CrossRef
000873148 7001_ $$0P:(DE-HGF)0$$aNeidhardt, Lisa$$b1
000873148 7001_ $$0P:(DE-HGF)0$$aViell, Jörn$$b2
000873148 7001_ $$0P:(DE-Juel1)172025$$aMitsos, Alexander$$b3$$ufzj
000873148 7001_ $$0P:(DE-Juel1)172097$$aDahmen, Manuel$$b4$$eCorresponding author$$ufzj
000873148 773__ $$0PERI:(DE-600)1499971-7$$a10.1016/j.compchemeng.2019.106712$$gVol. 134, p. 106712 -$$p106712$$tComputers & chemical engineering$$v134$$x0098-1354$$y2020
000873148 8564_ $$uhttps://juser.fz-juelich.de/record/873148/files/main_resubmission.pdf$$yOpenAccess
000873148 8564_ $$uhttps://juser.fz-juelich.de/record/873148/files/main_resubmission.pdf?subformat=pdfa$$xpdfa$$yOpenAccess
000873148 909CO $$ooai:juser.fz-juelich.de:873148$$pdnbdelivery$$pdriver$$pVDB$$popen_access$$popenaire
000873148 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-HGF)0$$aRWTH Aachen$$b0$$kRWTH
000873148 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-HGF)0$$aRWTH Aachen$$b1$$kRWTH
000873148 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-HGF)0$$aRWTH Aachen$$b2$$kRWTH
000873148 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)172025$$aForschungszentrum Jülich$$b3$$kFZJ
000873148 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-Juel1)172025$$aRWTH Aachen$$b3$$kRWTH
000873148 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)172097$$aForschungszentrum Jülich$$b4$$kFZJ
000873148 9131_ $$0G:(DE-HGF)POF3-153$$1G:(DE-HGF)POF3-150$$2G:(DE-HGF)POF3-100$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bEnergie$$lTechnologie, Innovation und Gesellschaft$$vAssessment of Energy Systems – Addressing Issues of Energy Efficiency and Energy Security$$x0
000873148 9141_ $$y2020
000873148 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS
000873148 915__ $$0StatID:(DE-HGF)1160$$2StatID$$aDBCoverage$$bCurrent Contents - Engineering, Computing and Technology
000873148 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search
000873148 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bCOMPUT CHEM ENG : 2017
000873148 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection
000873148 915__ $$0StatID:(DE-HGF)0110$$2StatID$$aWoS$$bScience Citation Index
000873148 915__ $$0StatID:(DE-HGF)0111$$2StatID$$aWoS$$bScience Citation Index Expanded
000873148 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5
000873148 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000873148 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC
000873148 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline
000873148 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List
000873148 920__ $$lyes
000873148 9201_ $$0I:(DE-Juel1)IEK-10-20170217$$kIEK-10$$lModellierung von Energiesystemen$$x0
000873148 9801_ $$aFullTexts
000873148 980__ $$ajournal
000873148 980__ $$aVDB
000873148 980__ $$aUNRESTRICTED
000873148 980__ $$aI:(DE-Juel1)IEK-10-20170217
000873148 981__ $$aI:(DE-Juel1)ICE-1-20170217