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description Publicationkeyboard_double_arrow_right Article , Research , Preprint 2021Embargo end date: 01 Jan 2020Publisher:Springer Science and Business Media LLC Publicly fundedFunded by:EC | AMVA4NewPhysics, EC | INSIGHTS, EC | LHCTOPVLQEC| AMVA4NewPhysics ,EC| INSIGHTS ,EC| LHCTOPVLQSirunyan, A. M.; Tumasyan, A.; Adam, W.; Ambrogi, F.; Bergauer, T.; Dragicevic, M.; Ero, J.; Del Valle, A. Escalante; Fruhwirth, R.; Jeitler, M.; Krammer, N.; Lechner, L.; Liko, D.; Madlener, T.; Mikulec, I; Pitters, F. M.; Rad, N.; Schieck, J.; Schofbeck, R.; Spanring, M.; Templ, S.; Waltenberger, W.; Wulz, C-E; Zarucki, M.; Chekhovsky, V; Litomin, A.; Makarenko, V; Gonzalez, J. Suarez; Darwish, M. R.; De Wolf, E. A.; Di Croce, D.; Janssen, X.; Kello, T.; Lelek, A.; Pieters, M.; Sfar, H. Rejeb; Van Haevermaet, H.; Van Mechelen, P.; Van Putte, S.; Van Remortel, N.; Blekman, F.; Bols, E. S.; Chhibra, S. S.; D'Hondt, J.; De Clercq, J.; Lontkovskyi, D.; Lowette, S.; Marchesini, I; Moortgat, S.; Morton, A.; Python, Q.; Tavernier, S.; Van Doninck, W.; Van; Mulders, P.; Beghin, D.; Bilin, B.; Clerbaux, B.; De; Lentdecker, G.; Dorney, B.; Favart, L.; Grebenyuk, A.; Kalsi, A. K.; Makarenko, I; Moureaux, L.; Petre, L.; Popov; A.; Postiau, N.; Starling, E.; Thomas, L.; Vander Velde, C.; Vanlaer, P.; Vannerom, D.; Wezenbeek, L.; Cornelis, T.; Dobur, D.; Gruchala, M.; Khvastunov, I; Niedziela, M.; Roskas, C.; Skovpen, K.; Tytgat, M.; Verbeke, W.; Vermassen; B.; Vit, M.; Bruno, G.; Bury, F.; Caputo, C.; David, P.; Delaere, C.; Delcourt, M.; Donertas, I. S.; Giammanco, A.; Lemaitre, V; Mondal, K.; Prisciandaro, J.; Taliercio, A.; Teklishyn, M.; Vischia, P.; Wuyckens, S.; Zobec, J.; Alves, G. A.; Correia Silva, G.; Hensel, C.; Moraes, A.; Alda Junior, W. L.; Belchior Batista Das Chagas, E.; Brandao; Malbouisson, H.; Carvalho, W.; Chinellato, J.; Coelho, E.; Da Costa, E. M.; Da Silveira, G. G.; De Jesus Damiao, D.; Fonseca De Souza, S.; Martins, J.; Matos Figueiredo, D.; Medina; Jaime, M.; Melo De Almeida, M.; Mora Herrera, C.; Mundim, L.; Nogima, H.; Rebello Teles, P.; Sanchez Rosas, L. J.; Santoro, A.; Silva Do Amaral, S. M.; Sznajder, A.; Thiel, M.; Tonelli Manganote, E. J.; Torres Da Silva De Araujo, F.; Vilela Pereira, A.; Bernardes, C. A.; Calligaris, L.; Fernandez; Perez Tomei, T. R.; Gregores, E. M.; Lemos, D. S.; Mercadante; P. G.; Novaes, S. F.; Padula, Sandra S.; Aleksandrov, A.; Antchev, G.; Atanasov, I; Hadjiiska, R.; Iaydjiev, P.; Misheva, M.; Rodozov, M.; Shopova, M.; Sultanov, G.; Bonchev, M.; Dimitrov, A.; Ivanov, T.; Litov, L.; Pavlov, B.; Petkov, P.; Petrov, A.; Fang, W.; Guo, Q.; Wang, H.; Yuan, L.; Ahmad, M.; Hu, Z.; Wang, Y.; Chapon, E.; Chen; G. M.; Chen, H. S.; Chen, M.; Kapoor, A.; Leggat, D.; Liao, H.; Liu, Z.; Sharma, R.; Spiezia, A.; Tao, J.; Thomas-wilsker, J.; Wang, J.; Zhang, H.; Zhang, S.; Zhao, J.; Agapitos, A.; Ban, Y.; Chen, C.; Huang, Q.; Levin, A.; Li, Q.; Lu, M.; Lyu, X.; Mao, Y.; Qian, S. J.; Wang; D.; Wang, Q.; Xiao, J.;doi: 10.1140/epjc/s10052-020-08817-8 , 10.48550/arxiv.2009.01186 , 10.3204/pubdb-2021-01404 , 10.5445/ir/1000133495 , 10.3204/pubdb-2020-03553 , 10.18154/rwth-2021-04402 , 10.18154/rwth-2021-04323
pmid: 33750993
pmc: PMC7921081
handle: 10486/704420 , 10651/61050 , 11588/981266 , 11368/2981217 , 20.500.12960/1096 , 10281/308797 , 10679/8214 , 10067/1775930151162165141 , 11449/210711 , 11492/4967 , 10831/111002 , 11503/974 , 11486/5265 , 11577/3400582 , 11573/1639263 , 11584/420886 , 11567/1050491 , 11568/1134020 , 11589/257781 , 11391/1507393 , 11384/101251 , 11585/853320 , 20.500.11769/526794 , 2158/1297765 , 1854/LU-8702116 , 2318/1841118 , 11579/135374 , 11563/159092 , 10044/1/87583 , 11586/374199 , 11571/1478316
doi: 10.1140/epjc/s10052-020-08817-8 , 10.48550/arxiv.2009.01186 , 10.3204/pubdb-2021-01404 , 10.5445/ir/1000133495 , 10.3204/pubdb-2020-03553 , 10.18154/rwth-2021-04402 , 10.18154/rwth-2021-04323
pmid: 33750993
pmc: PMC7921081
handle: 10486/704420 , 10651/61050 , 11588/981266 , 11368/2981217 , 20.500.12960/1096 , 10281/308797 , 10679/8214 , 10067/1775930151162165141 , 11449/210711 , 11492/4967 , 10831/111002 , 11503/974 , 11486/5265 , 11577/3400582 , 11573/1639263 , 11584/420886 , 11567/1050491 , 11568/1134020 , 11589/257781 , 11391/1507393 , 11384/101251 , 11585/853320 , 20.500.11769/526794 , 2158/1297765 , 1854/LU-8702116 , 2318/1841118 , 11579/135374 , 11563/159092 , 10044/1/87583 , 11586/374199 , 11571/1478316
AbstractThe production of Z boson pairs in proton–proton ($${\mathrm{p}} {\mathrm{p}} $$ p p ) collisions, $${{\mathrm{p}} {\mathrm{p}} \rightarrow ({\mathrm{Z}}/\gamma ^*)({\mathrm{Z}}/\gamma ^*) \rightarrow 2\ell 2\ell '}$$ p p → ( Z / γ ∗ ) ( Z / γ ∗ ) → 2 ℓ 2 ℓ ′ , where $${\ell ,\ell ' = {\mathrm{e}}}$$ ℓ , ℓ ′ = e or $${{\upmu }}$$ μ , is studied at a center-of-mass energy of 13$$\,\text {TeV}$$ TeV with the CMS detector at the CERN LHC. The data sample corresponds to an integrated luminosity of 137$$\,\text {fb}^{-1}$$ fb - 1 , collected during 2016–2018. The $${\mathrm{Z}} {\mathrm{Z}} $$ Z Z production cross section, $$\sigma _{\text {tot}} ({\mathrm{p}} {\mathrm{p}} \rightarrow {\mathrm{Z}} {\mathrm{Z}} ) = 17.4 \pm 0.3 \,\text {(stat)} \pm 0.5 \,\text {(syst)} \pm 0.4 \,\text {(theo)} \pm 0.3 \,\text {(lumi)} \text { pb} $$ σ tot ( p p → Z Z ) = 17.4 ± 0.3 (stat) ± 0.5 (syst) ± 0.4 (theo) ± 0.3 (lumi) pb , measured for events with two pairs of opposite-sign, same-flavor leptons produced in the mass region $${60< m_{\ell ^+\ell ^-} < 120\,\text {GeV}}$$ 60 < m ℓ + ℓ - < 120 GeV is consistent with standard model predictions. Differential cross sections are also measured and agree with theoretical predictions. The invariant mass distribution of the four-lepton system is used to set limits on anomalous $${\mathrm{Z}} {\mathrm{Z}} {\mathrm{Z}} $$ Z Z Z and $${{\mathrm{Z}} {\mathrm{Z}} \gamma }$$ Z Z γ couplings.
Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2021Data sources: Recolector de Ciencia Abierta, RECOLECTAPadua research Archive (Archivio istituzionale della ricerca - Università di Padova)Article . 2021License: CC BYArchivio della ricerca- Università di Roma La SapienzaArticle . 2021License: CC BY NC NDData sources: Archivio della ricerca- Università di Roma La SapienzaArchivio della Ricerca - Università di PisaArticle . 2021License: CC BYData sources: Archivio della Ricerca - Università di PisaBelarusian State University: Electronic Library BSUArticle . 2021License: CC BYFull-Text: https://elib.bsu.by/handle/123456789/289295Data sources: Bielefeld Academic Search Engine (BASE)Brunel University London: Brunel University Research Archive (BURA)Article . 2021License: CC BYFull-Text: https://bura.brunel.ac.uk/handle/2438/22652Data sources: Bielefeld Academic Search Engine (BASE)University of California: eScholarshipArticle . 2021License: CC BYFull-Text: https://escholarship.org/uc/item/3804229hData sources: Bielefeld Academic Search Engine (BASE)Imperial College London: SpiralArticle . 2020License: CC BYFull-Text: http://hdl.handle.net/10044/1/87583Data sources: Bielefeld Academic Search Engine (BASE)Università degli Studi di Bari Aldo Moro: CINECA IRISArticle . 2021Full-Text: https://hdl.handle.net/11586/374199Data sources: Bielefeld Academic Search Engine (BASE)Caltech Authors (California Institute of Technology)Article . 2021Full-Text: https://arxiv.org/abs/2009.01186Data sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)European Physical Journal C: Particles and FieldsArticle . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefCroatian Scientific Bibliography - CROSBIArticle . 2021Data sources: Croatian Scientific Bibliography - CROSBIRecolector de Ciencia Abierta, RECOLECTAArticle . 2021Data sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2021License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2021License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTAEuropean Physical Journal C: Particles and FieldsArticle . 2021Data sources: Croatian Research Information SystemPiri Reis Üniversitesi Kurumsal Akademik Arşiv SistemiArticle . 2021Data sources: Piri Reis Üniversitesi Kurumsal Akademik Arşiv SistemiSpiral - Imperial College Digital RepositoryArticle . 2020License: CC BYData sources: Spiral - Imperial College Digital RepositoryInstitutional Repository Universiteit AntwerpenArticle . 2021Data sources: Institutional Repository Universiteit AntwerpenRepositorio Institucional de la Universidad de OviedoArticle . 2021License: CC BYData sources: Repositorio Institucional de la Universidad de OviedoKaramanoğlu Mehmetbey Üniversitesi Akademik Arşiv SistemiArticle . 2021ELTE Digital Institutional Repository (EDIT)Article . 2021Data sources: ELTE Digital Institutional Repository (EDIT)Sirnak University Institutional RepositoryArticle . 2021Data sources: Sirnak University Institutional RepositorySinop Üniversitesi Akademik Arşiv SistemiArticle . 2025Data sources: Sinop Üniversitesi Akademik Arşiv SistemiElectronic archive of Tomsk Polytechnic UniversityArticle . 2023Data sources: Electronic archive of Tomsk Polytechnic UniversityeScholarship - University of CaliforniaArticle . 2021Data sources: eScholarship - University of CaliforniaGhent University Academic BibliographyArticle . 2021Data sources: Ghent University Academic BibliographyPublikationsserver der RWTH Aachen UniversityPreprint . 2020Data sources: Publikationsserver der RWTH Aachen UniversityPublikationsserver der RWTH Aachen UniversityArticle . 2021Data sources: Publikationsserver der RWTH Aachen UniversityBrunel University Research ArchiveArticle . 2021License: CC BYData sources: Brunel University Research ArchiveÉcole Polytechnique, Université Paris-Saclay: HALArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Université Savoie Mont Blanc: HALArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Archivio Istituzionale della Ricerca - Politecnico di BariArticle . 2021IRIS - Università degli Studi di CataniaArticle . 2021Data sources: IRIS - Università degli Studi di CataniaFlore (Florence Research Repository)Article . 2021Data sources: Flore (Florence Research Repository)FEDOA - IRIS Università degli Studi Napoli Federico IIArticle . 2021Data sources: FEDOA - IRIS Università degli Studi Napoli Federico IIUniversità degli Studi del Piemonte Orientale: CINECA IRISArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Università degli Studi della Basilicata: CINECA IRISArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Universidade Estadual Paulista São Paulo: Repositório Institucional UNESPArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)IRIS UNIPV (Università degli studi di Pavia)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)Brunel University London: Brunel University Research Archive (BURA)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.Access RoutesGreen gold 29 citations 29 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
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more_vert Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2021Data sources: Recolector de Ciencia Abierta, RECOLECTAPadua research Archive (Archivio istituzionale della ricerca - Università di Padova)Article . 2021License: CC BYArchivio della ricerca- Università di Roma La SapienzaArticle . 2021License: CC BY NC NDData sources: Archivio della ricerca- Università di Roma La SapienzaArchivio della Ricerca - Università di PisaArticle . 2021License: CC BYData sources: Archivio della Ricerca - Università di PisaBelarusian State University: Electronic Library BSUArticle . 2021License: CC BYFull-Text: https://elib.bsu.by/handle/123456789/289295Data sources: Bielefeld Academic Search Engine (BASE)Brunel University London: Brunel University Research Archive (BURA)Article . 2021License: CC BYFull-Text: https://bura.brunel.ac.uk/handle/2438/22652Data sources: Bielefeld Academic Search Engine (BASE)University of California: eScholarshipArticle . 2021License: CC BYFull-Text: https://escholarship.org/uc/item/3804229hData sources: Bielefeld Academic Search Engine (BASE)Imperial College London: SpiralArticle . 2020License: CC BYFull-Text: http://hdl.handle.net/10044/1/87583Data sources: Bielefeld Academic Search Engine (BASE)Università degli Studi di Bari Aldo Moro: CINECA IRISArticle . 2021Full-Text: https://hdl.handle.net/11586/374199Data sources: Bielefeld Academic Search Engine (BASE)Caltech Authors (California Institute of Technology)Article . 2021Full-Text: https://arxiv.org/abs/2009.01186Data sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)European Physical Journal C: Particles and FieldsArticle . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefCroatian Scientific Bibliography - CROSBIArticle . 2021Data sources: Croatian Scientific Bibliography - CROSBIRecolector de Ciencia Abierta, RECOLECTAArticle . 2021Data sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2021License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2021License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTAEuropean Physical Journal C: Particles and FieldsArticle . 2021Data sources: Croatian Research Information SystemPiri Reis Üniversitesi Kurumsal Akademik Arşiv SistemiArticle . 2021Data sources: Piri Reis Üniversitesi Kurumsal Akademik Arşiv SistemiSpiral - Imperial College Digital RepositoryArticle . 2020License: CC BYData sources: Spiral - Imperial College Digital RepositoryInstitutional Repository Universiteit AntwerpenArticle . 2021Data sources: Institutional Repository Universiteit AntwerpenRepositorio Institucional de la Universidad de OviedoArticle . 2021License: CC BYData sources: Repositorio Institucional de la Universidad de OviedoKaramanoğlu Mehmetbey Üniversitesi Akademik Arşiv SistemiArticle . 2021ELTE Digital Institutional Repository (EDIT)Article . 2021Data sources: ELTE Digital Institutional Repository (EDIT)Sirnak University Institutional RepositoryArticle . 2021Data sources: Sirnak University Institutional RepositorySinop Üniversitesi Akademik Arşiv SistemiArticle . 2025Data sources: Sinop Üniversitesi Akademik Arşiv SistemiElectronic archive of Tomsk Polytechnic UniversityArticle . 2023Data sources: Electronic archive of Tomsk Polytechnic UniversityeScholarship - University of CaliforniaArticle . 2021Data sources: eScholarship - University of CaliforniaGhent University Academic BibliographyArticle . 2021Data sources: Ghent University Academic BibliographyPublikationsserver der RWTH Aachen UniversityPreprint . 2020Data sources: Publikationsserver der RWTH Aachen UniversityPublikationsserver der RWTH Aachen UniversityArticle . 2021Data sources: Publikationsserver der RWTH Aachen UniversityBrunel University Research ArchiveArticle . 2021License: CC BYData sources: Brunel University Research ArchiveÉcole Polytechnique, Université Paris-Saclay: HALArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Université Savoie Mont Blanc: HALArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Archivio Istituzionale della Ricerca - Politecnico di BariArticle . 2021IRIS - Università degli Studi di CataniaArticle . 2021Data sources: IRIS - Università degli Studi di CataniaFlore (Florence Research Repository)Article . 2021Data sources: Flore (Florence Research Repository)FEDOA - IRIS Università degli Studi Napoli Federico IIArticle . 2021Data sources: FEDOA - IRIS Università degli Studi Napoli Federico IIUniversità degli Studi del Piemonte Orientale: CINECA IRISArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Università degli Studi della Basilicata: CINECA IRISArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Universidade Estadual Paulista São Paulo: Repositório Institucional UNESPArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)IRIS UNIPV (Università degli studi di Pavia)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)Brunel University London: Brunel University Research Archive (BURA)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.description Publicationkeyboard_double_arrow_right Article 2024Publisher:Elsevier BV Funded by:MESTD | Ministry of Education, Sc..., DFG | Biological Responses to N..., UKRI | ForeSight: Predicting and...MESTD| Ministry of Education, Science and Technological Development, Republic of Serbia, Grant no. 451-03-68/2020-14/200169 (University of Belgrade, Faculty of Forestry) ,DFG| Biological Responses to Novel and Changing Environments ,UKRI| ForeSight: Predicting and monitoring drought-linked forest growth decline across EuropeLeifsson, Christopher; Buras, Allan; Klesse, Stefan; Baittinger, Claudia; Bat-Enerel, Banzragch; Battipaglia, Giovanna; Biondi, Franco; Stajić, Branko; Budeanu, Marius; Čada, Vojtěch; Cavin, Liam; Claessens, Hugues; Čufar, Katarina; de Luis, Martin; Dorado-Liñán, Isabel; Dulamsuren, Choimaa; Garamszegi, Balázs; Grabner, Michael; Hacket-Pain, Andrew; Hansen, Jon Kehlet; Hartl, Claudia; Huang, Weiwei; Janda, Pavel; Jump, Alistair; Kazimirović, Marko; Knutzen, Florian; Kreyling, Jürgen; Land, Alexander; Latte, Nicolas; Lebourgeois, François; Leuschner, Christoph; Longares, Luis; Martinez del Castillo, Edurne; Menzel, Annette; Motta, Renzo; Muffler-Weigel, Lena; Nola, Paola; Panayatov, Momchil; Petritan, Any Mary; Petritan, Ion Catalin; Popa, Ionel; Roibu, Cǎtǎlin-Constantin; Rubio-Cuadrado, Álvaro; Rydval, Miloš; Scharnweber, Tobias; Camarero, J. Julio; Svoboda, Miroslav; Toromani, Elvin; Trotsiuk, Volodymyr; van der Maaten-Theunissen, Marieke; van der Maaten, Ernst; Weigel, Robert; Wilmking, Martin; Zlatanov, Tzvetan; Rammig, Anja; Zang, Christian;pmid: 38782287
The future performance of the widely abundant European beech (Fagus sylvatica L.) across its ecological amplitude is uncertain. Although beech is considered drought-sensitive and thus negatively affected by drought events, scientific evidence indicating increasing drought vulnerability under climate change on a cross-regional scale remains elusive. While evaluating changes in climate sensitivity of secondary growth offers a promising avenue, studies from productive, closed-canopy forests suffer from knowledge gaps, especially regarding the natural variability of climate sensitivity and how it relates to radial growth as an indicator of tree vitality. Since beech is sensitive to drought, we in this study use a drought index as a climate variable to account for the combined effects of temperature and water availability and explore how the drought sensitivity of secondary growth varies temporally in dependence on growth variability, growth trends, and climatic water availability across the species' ecological amplitude. Our results show that drought sensitivity is highly variable and non-stationary, though consistently higher at dry sites compared to moist sites. Increasing drought sensitivity can largely be explained by increasing climatic aridity, especially as it is exacerbated by climate change and trees' rank progression within forest communities, as (co-)dominant trees are more sensitive to extra-canopy climatic conditions than trees embedded in understories. However, during the driest periods of the 20th century, growth showed clear signs of being decoupled from climate. This may indicate fundamental changes in system behavior and be early-warning signals of decreasing drought tolerance. The multiple significant interaction terms in our model elucidate the complexity of European beech's drought sensitivity, which needs to be taken into consideration when assessing this species' response to climate change.
Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2025 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAUniversity of Freiburg: FreiDokArticle . 2024Full-Text: https://freidok.uni-freiburg.de/data/261433Data sources: Bielefeld Academic Search Engine (BASE)Digital Repository of University of Zaragoza (ZAGUAN)Article . 2024License: CC BYFull-Text: http://zaguan.unizar.es/record/135789Data sources: Bielefeld Academic Search Engine (BASE)University of Stirling: Stirling Digital Research RepositoryArticle . 2024License: CC BYFull-Text: http://hdl.handle.net/1893/36046Data sources: Bielefeld Academic Search Engine (BASE)The Science of The Total EnvironmentArticle . 2024 . Peer-reviewedLicense: CC BYData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAArticle . 2024Data sources: Recolector de Ciencia Abierta, RECOLECTADigital Repository of University of ZaragozaArticle . 2024Data sources: Digital Repository of University of ZaragozaPublikationenserver der Georg-August-Universität GöttingenArticle . 2024Copenhagen University Research Information SystemArticle . 2024Data sources: Copenhagen University Research Information SystemRepository of the University of LjubljanaArticle . 2024Data sources: Repository of the University of LjubljanaMinistry of Culture Research PortalArticle . 2024License: CC BYData sources: Ministry of Culture Research PortalUniversity of Copenhagen: ResearchArticle . 2024Data sources: Bielefeld Academic Search Engine (BASE)Omorika - Repository of the Faculty of Forestry, BelgradeArticle . 2024Institut National de la Recherche Agronomique: ProdINRAArticle . 2024Data sources: Bielefeld Academic Search Engine (BASE)IRIS UNIPV (Università degli studi di Pavia)Article . 2024Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.Access RoutesGreen hybrid 11 citations 11 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
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more_vert Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2025 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAUniversity of Freiburg: FreiDokArticle . 2024Full-Text: https://freidok.uni-freiburg.de/data/261433Data sources: Bielefeld Academic Search Engine (BASE)Digital Repository of University of Zaragoza (ZAGUAN)Article . 2024License: CC BYFull-Text: http://zaguan.unizar.es/record/135789Data sources: Bielefeld Academic Search Engine (BASE)University of Stirling: Stirling Digital Research RepositoryArticle . 2024License: CC BYFull-Text: http://hdl.handle.net/1893/36046Data sources: Bielefeld Academic Search Engine (BASE)The Science of The Total EnvironmentArticle . 2024 . Peer-reviewedLicense: CC BYData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAArticle . 2024Data sources: Recolector de Ciencia Abierta, RECOLECTADigital Repository of University of ZaragozaArticle . 2024Data sources: Digital Repository of University of ZaragozaPublikationenserver der Georg-August-Universität GöttingenArticle . 2024Copenhagen University Research Information SystemArticle . 2024Data sources: Copenhagen University Research Information SystemRepository of the University of LjubljanaArticle . 2024Data sources: Repository of the University of LjubljanaMinistry of Culture Research PortalArticle . 2024License: CC BYData sources: Ministry of Culture Research PortalUniversity of Copenhagen: ResearchArticle . 2024Data sources: Bielefeld Academic Search Engine (BASE)Omorika - Repository of the Faculty of Forestry, BelgradeArticle . 2024Institut National de la Recherche Agronomique: ProdINRAArticle . 2024Data sources: Bielefeld Academic Search Engine (BASE)IRIS UNIPV (Università degli studi di Pavia)Article . 2024Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.description Publicationkeyboard_double_arrow_right Article , Conference object 2023Publisher:MDPI AG Authors: Sigle, Sebastian; Hahn, Robert;doi: 10.3390/en16186512
Heavy-duty vehicles (HDVs) are responsible for a significant amount of CO2 emissions in the transport sector. The share of these vehicles is still increasing in the European Union (EU); nevertheless, rigorous CO2 emission reduction schemes will apply in the near future. Different measures to decrease CO2 emissions are being already discussed, e.g., the electrification of the powertrain. Additionally, the impact of autonomous driving on energy consumption is being investigated. The most common types are fuel cell vehicles (FCEVs) and battery-only vehicles (BEVs). It is still unclear which type of powertrain will prevail in the future. Therefore, we developed a method to compare different powertrain options based on different scenarios in terms of primary energy consumption, CO2 emissions, and fuel costs. We compared the results with the internal combustion engine vehicle (ICEV). The model includes a model for the climatization of the driver’s cabin, which we used to investigate the impact of autonomous driving on energy consumption. It became clear that certain powertrains offer advantages for certain applications and that sensitivities exist with regard to primary energy and CO2 emissions. Overall, it became clear that electrified powertrains could reduce the CO2 emissions and the primary energy consumption of HDVs. Moreover, autonomous vehicles can save energy in most cases.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.Access RoutesGreen gold 5 citations 5 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.description Publicationkeyboard_double_arrow_right Doctoral thesis 2023Embargo end date: 15 May 2023Publisher:RWTH Aachen University Authors: Abdelshafy, Ali Ezzat Abdelhamid;The transformation towards carbon-neutral and circular economies and industrial systems is of utmost importance facing climate change and scarcity of resources. To tackle the resulting enormous planning and implementation tasks, there exist on the one hand very detailed bottom-up process models and roadmaps for specific technologies and companies, and on the other hand highly aggregated top-down approaches and scenarios for climate-neutral trajectories at global, EU and national scale. However, only few approaches so far specifically address the regional application level, which is of high importance for the implementation of car-bon-neutral and circular industrial systems because of the many intersectoral relations between companies and manifold links between material and energy flows within a region. This holds especially for the regional interrelations of energy and material intensive industries like steel, cement, or chemistry. Additionally, regional characteristics will have a strong impact on the design of new pipeline infrastructures for the transportation of hydrogen or CO2. Therefore, regional analyses and integrated approaches for modelling and assessment are required to overcome these gaps methods and applications. Against this background, the aim of this dissertation is to develop integrated modelling, evaluation and planning approaches for the transformation towards carbon-neutral and circular industrial systems and infrastructures with specific emphasis on solutions for the regional level. The dissertation serves to provide transparency on the development of material and energy flows over time, supports technology choice decisions based on techno-economic and environmental evaluations, and supports policy and management decisions on infrastructure and technology investments. The developed approaches have to regard for many requirements and challenges, i.e., approaches need to applicable at regional level, regard for the nexus between carbon neutrality and circular economy, incorporate intersectoral interdependencies between companies and material flows, be interdisciplinary in that they are able to regard for technical, economic, environmental as well as social aspects, consider spatial relations and regional networks, and are dynamic in that they regard for the transformation over time. These requirements and challenges are analysed and integrated via different methodological approaches and system boundaries. The dissertation specifically addresses the transformation of the metals and cement & construction sectors in North Rhine-Westphalia (NRW), a region that accounts for one third of the German cement and chemical production and two fifths of the steel production in Germany. Being a crucial hub for the heavy industries in Eu-rope, the state is responsible for one quarter of the annual GHG emissions in Germany, half of these emissions comes from the energy sector and approximately one fifth is generated by the regional industries. As the state is currently witnessing fundamental structural changes in the industrial sector, it is a suitable region for investigating the transformation process and demonstrating the respective methods. Moreover, the state can also represent the main features of other industrial regions in Germany and Europe. The dissertation consists of five parts. Part I presents the background, structure and region of interest, and dis-cusses the adopted methods and derived approaches. The next three parts (II – IV) encompass the cumulative dissertation. Herein, it is composed of nine peer-reviewed publications that address the two mentioned sectors (i.e. metals and cement & construction) via using different methods and system boundaries. Part II on the metals sector comprises three papers. Paper 1 addresses the industrial transformation in the steel industry by means of developing a hybrid model that defines and quantifies the changes in the regional and energy material flows in North Rhine-Westphalia. Paper 2 determines the causes of CO2 emissions during the production process of cast iron and steel and the mitigation potentials. Paper 3 presents a techno-economic and environmental (TEE) assessment to study the impact of increasing the share of secondary inputs (i.e. steel scrap) from an interdisciplinary perspective. Part III on the cement and construction industry contains four publications. Paper 4 studies the role of CCUS in decarbonizing the cement industry and discusses its necessity as well as the associated challenges. The paper is based on an extensive literature review and analyses the supply chains, the various options that cement producers have to mitigate their emissions and their techno-economic requirements, advantages, drawbacks, boundaries and challenges. Paper 5 aims at promoting a circular economy in the construction sector via presenting a novel model that estimates the regional supply and demand of secondary materials over time. Paper 6 focuses on the spatial aspects of carbonation as a specific CCU technology, and realizes a relationship between the distance and CO2 sequestration capacity in NRW via locational material flow analysis and an optimization model. Paper 7 enhances this analysis by using more data inputs and classifying the available materials into different categories, which results in more detailed analyses and outcomes. Part IV on the intersectoral impacts and infrastructure planning consists of two papers. Paper 8 focuses on the relationship between carbon neutrality and circular economy via an intersectoral energy and material flow analysis in NRW. Herein, a broad system boundary has been defined in order to comprehensively include a wide range of industrial value chains. Paper 9 presents an extensive analysis on the configurations and costs of the prospective CO2 network in Germany. Part V on the Conclusions & Outlook presents the main outcomes of the dissertation, and recommendations for future research activities. Methodologically, the derived approaches and frameworks are based on three fundamental methods A) Mate-rial Flow Analysis (MFA), B) integrated TEE assessment, and C) planning of optimal networks and infrastructures. A) The basic MFA methodology has been extended by integrating dimensions such as time, location, and process modelling. As a result, extended approaches such as regional intersectoral MFA, prospective MFA, locational MFA, and dynamic-locational MFA are developed and applied to practical planning case studies. B) Integrated TEE assessment is applied as a comprehensive approach to merge the relationship between the technical, economic and environmental performance. The derived framework is used to investigate and optimize the three aspects simultaneously. C) Approaches for planning of optimal networks and infrastructure are used to design the prospective infrastructures, specifically the CO2 pipeline network in Germany. Herein, an optimization model has been developed based on an extensive number of datasets and a scenario analysis has been also carried out to illustrate the impacts of different conditions. Overall, this dissertation succeeded in providing innovative modelling extensions and integrations, which have been used to investigate ongoing serious themes and address real industrial questions. The quantitative and qualitative analyses have achieved the dissertation’s goals and fulfilled the identified requirements. The presented case studies on the different industries and materials have demonstrated the effectiveness of the derived frameworks, which can be also used to solve other problems. Therefore, the dissertation is an added value to the academia and of high interest for the industrial sector and policymakers. For researchers, the presented models provide a basis for further studies and research. For the industrial sector and policymakers, the comprehensive analyses and conclusions can be very helpful in deriving regional strategies and roadmaps. Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2023; Aachen : RWTH Aachen University 1 Online-Ressource : Illustrationen, Diagramme, Karten (2023). doi:10.18154/RWTH-2023-05379 = Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2023 Published by RWTH Aachen University, Aachen
Publikationsserver d... arrow_drop_down Publikationsserver der RWTH Aachen UniversityDoctoral thesis . 2023Data sources: Publikationsserver der RWTH Aachen Universityadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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more_vert Publikationsserver d... arrow_drop_down Publikationsserver der RWTH Aachen UniversityDoctoral thesis . 2023Data sources: Publikationsserver der RWTH Aachen Universityadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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You have already added works in your ORCID record related to the merged Research product.description Publicationkeyboard_double_arrow_right Article , Other literature type 2021Embargo end date: 05 Dec 2023Publisher:Frontiers Media SA Funded by:EC | MICROWATER, EC | VORTEXEC| MICROWATER ,EC| VORTEXSimon Guerrero-Cruz; Simon Guerrero-Cruz; Annika Vaksmaa; Marcus A. Horn; Helge Niemann; Helge Niemann; Helge Niemann; Maite Pijuan; Maite Pijuan; Adrian Ho; Adrian Ho;Methane is the final product of the anaerobic decomposition of organic matter. The conversion of organic matter to methane (methanogenesis) as a mechanism for energy conservation is exclusively attributed to the archaeal domain. Methane is oxidized by methanotrophic microorganisms using oxygen or alternative terminal electron acceptors. Aerobic methanotrophic bacteria belong to the phyla Proteobacteria and Verrucomicrobia, while anaerobic methane oxidation is also mediated by more recently discovered anaerobic methanotrophs with representatives in both the bacteria and the archaea domains. The anaerobic oxidation of methane is coupled to the reduction of nitrate, nitrite, iron, manganese, sulfate, and organic electron acceptors (e.g., humic substances) as terminal electron acceptors. This review highlights the relevance of methanotrophy in natural and anthropogenically influenced ecosystems, emphasizing the environmental conditions, distribution, function, co-existence, interactions, and the availability of electron acceptors that likely play a key role in regulating their function. A systematic overview of key aspects of ecology, physiology, metabolism, and genomics is crucial to understand the contribution of methanotrophs in the mitigation of methane efflux to the atmosphere. We give significance to the processes under microaerophilic and anaerobic conditions for both aerobic and anaerobic methane oxidizers. In the context of anthropogenically influenced ecosystems, we emphasize the current and potential future applications of methanotrophs from two different angles, namely methane mitigation in wastewater treatment through the application of anaerobic methanotrophs, and the biotechnological applications of aerobic methanotrophs in resource recovery from methane waste streams. Finally, we identify knowledge gaps that may lead to opportunities to harness further the biotechnological benefits of methanotrophs in methane mitigation and for the production of valuable bioproducts enabling a bio-based and circular economy.
Frontiers in Microbi... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2021 . Peer-reviewedLicense: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTAMunin - Open Research ArchiveArticle . 2021 . Peer-reviewedData sources: Munin - Open Research ArchiveFrontiers in MicrobiologyArticle . 2021 . Peer-reviewedData sources: European Union Open Data PortalRecolector de Ciencia Abierta, RECOLECTAArticle . 2021 . Peer-reviewedLicense: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTADUGiDocs – Universitat de GironaArticle . 2021 . Peer-reviewedData sources: DUGiDocs – Universitat de Gironaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.Access RoutesGreen gold 190 citations 190 popularity Top 1% influence Top 10% impulse Top 0.1% Powered by BIP!
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more_vert Frontiers in Microbi... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2021 . Peer-reviewedLicense: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTAMunin - Open Research ArchiveArticle . 2021 . Peer-reviewedData sources: Munin - Open Research ArchiveFrontiers in MicrobiologyArticle . 2021 . Peer-reviewedData sources: European Union Open Data PortalRecolector de Ciencia Abierta, RECOLECTAArticle . 2021 . Peer-reviewedLicense: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTADUGiDocs – Universitat de GironaArticle . 2021 . Peer-reviewedData sources: DUGiDocs – Universitat de Gironaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.description Publicationkeyboard_double_arrow_right Article , Other literature type 2023Publisher:Elsevier BV Da Zhang; Qingyi Wang; Shaojie Song; Simiao Chen; Mingwei Li; Lu Shen; Siqi Zheng; Bofeng Cai; Shenhao Wang; Haotian Zheng;Estimating health benefits of reducing fossil fuel use from improved air quality provides important rationales for carbon emissions abatement. Simulating pollution concentration is a crucial step of the estimation, but traditional approaches often rely on complicated chemical transport models that require extensive expertise and computational resources. In this study, we develop a machine learning framework that is able to provide precise and robust annual average fine particle (PM2.5) concentration estimations directly from a high-resolution fossil energy use dataset. Applications of the framework with Chinese data reveal highly heterogeneous health benefits of avoiding premature mortality by reducing fossil fuel use in different sectors and regions in China with a mean of $19/tCO2 and a standard deviation of $38/tCO2. Reducing rural and residential coal use offers the highest co-benefits with a mean of $151/tCO2. Our findings prompt careful policy designs to maximize cost-effectiveness in the transition toward a carbon-neutral energy system.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.Access RoutesGreen gold 2 citations 2 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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You have already added works in your ORCID record related to the merged Research product.description Publicationkeyboard_double_arrow_right Article 2024Publisher:Elsevier BV Authors: Amvrosios G. Georgiadis; Anastasios I. Tsiotsias; George I. Siakavelas; Nikolaos D. Charisiou; +7 AuthorsAmvrosios G. Georgiadis; Anastasios I. Tsiotsias; George I. Siakavelas; Nikolaos D. Charisiou; Benedikt Ehrhardt; Wen Wang; Victor Sebastian; Steven J. Hinder; Mark A. Baker; Simone Mascotto; Maria A. Goula;handle: 10261/396496
The work presented herein reports on the investigation of the biogas dry reforming catalytic performance of LaNiO3 (LNO), La0.8Sm0.2NiO3 (LSNO), La0.8Pr0.2NiO3 (LPNO) and La0.8Ce0.2NiO3 (LCNO). The perovskite-type materials were synthesized via citrate sol-gel and characterized using XRD, N2 physisorption H2-TPR, H2-TPD, TEM, HAADF-STEM and XPS. The performance of all catalysts in terms of both activity and stability was examined in order to assess the effect of temperature on the CH4 and CO2 conversion, as well as on the H2 and CO yield and the H2/CO molar ratio of the produced gas mixture. Experimental results showed that modification of LaNiO3 with Sm and Pr enhanced the catalytic performance in terms of catalytic stability and reduced the order/crystallinity of the deposited coke. A theoretical model was also produced in Python with the purpose of simulating the catalytic performance. Modelling results showed a good agreement with the experimental values and therefore confirm the validity of the model for predicting the dry reforming catalytic performance.
Renewable Energy arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2024Data sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2025 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTADigital Repository of University of ZaragozaArticle . 2024Data sources: Digital Repository of University of ZaragozaDigital Repository of University of Zaragoza (ZAGUAN)Article . 2024Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.12 citations 12 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Renewable Energy arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2024Data sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2025 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTADigital Repository of University of ZaragozaArticle . 2024Data sources: Digital Repository of University of ZaragozaDigital Repository of University of Zaragoza (ZAGUAN)Article . 2024Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.description Publicationkeyboard_double_arrow_right Article , Other literature type 2023Publisher:MDPI AG Funded by:DFGDFGAuthors: Manfred Dollinger; Gerhard Fischerauer;The increasing market share of electric vehicles and the politically intended phase-out of the internal combustion engine require reliable and realistic predictions for future consumption and greenhouse gas emissions as a function of technological solutions. This also includes the consumption- and emission-intensive transport of goods. We consider both passenger vehicles and commercial vehicle traffic in our study and have investigated whether there are drive alternatives to the battery electric vehicle that enable uninterrupted trips with a long range, especially for regional delivery services and internationally active freight forwarders. To this end, we have analysed three system architectures and their expected technological progress until 2050: battery electric vehicles (BEV), fuel cell electric vehicles (FCEV), and internal combustion engine vehicles (ICEV) running on compressed natural gas (CNG). The latter case serves as a best-practice reference from a combustion technology perspective. The analysis is based on a validated and proven physical model and predicts that the BEV2050 will consume 3.5 times less energy and emit 15 times fewer greenhouse gases than the ICEV-CNG2020, whereas the FCEV2050 will consume 2.5 times less energy and emit 6.5 times fewer greenhouse gases than the ICEV-CNG2020 on the road (hilly terrain, transition season, and WLTP triple-mixed drive cycle). The advantages of the BEV result from the shorter drive train with lower total losses. Our results thus confirm the expected role of the BEV as the dominant drive technology in the future, and light vehicles with low-to-medium-range requirements will especially benefit from it. On the other hand, since the greenhouse gas emissions of the FCEV2050 are lower by a factor of 6.5 than those of the ICEV-CNG2020, it is reasonable to conclude that the FCEV can play a significant role in transport until 2050 when long distances have to be covered. Our model-based approach also allows us to determine the energy fractions of the acting physical forces and thus calculate the consumption shares: electric drive recuperation increases BEV and FCEV range by about 15% in 2020 and will increase it by about 20% in 2050, depending on drive technology and vehicle type. Air and rolling resistance contribute 20% each to the total consumption. The consumption of the accessories of modern vehicles with a share of about 10% of the total consumption cannot be neglected.
Energies arrow_drop_down EnergiesOther literature type . 2023License: CC BYFull-Text: http://www.mdpi.com/1996-1073/16/8/3591/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.Access Routesgold 6 citations 6 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Energies arrow_drop_down EnergiesOther literature type . 2023License: CC BYFull-Text: http://www.mdpi.com/1996-1073/16/8/3591/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.description Publicationkeyboard_double_arrow_right Article 2022Publisher:Elsevier BV Artur Bieniek; Markus Reinmöller; Felix Küster; Martin Gräbner; Wojciech Jerzak; Aneta Magdziarz;pmid: 35839650
Pyrolysis of the waste organic fraction is expected to be a central element to meet the primary energy demand in future: it increases the impact of renewable energy sources on the power generation sector and allows the amount of waste to be reduced, putting an end to landfills. In the present study, kinetic studies on the pyrolysis of biomass wastes are carried out. Two kinds of industrial organic waste are investigated: brewery spent grain (BSG) and medium-density fiberboard (MDF). The main target of this work is to provide a global equation for the one-step pyrolysis reaction of the investigated materials in an argon atmosphere using isoconversional methods. The conducted analysis allowed to estimate the activation energy as 225.4-253.6 kJ/mol for BSG and 197.9-216.7 kJ/mol for MDF. For both materials nth order reaction was proposed with reaction order of 7.69-8.70 for BSG and 6.32-6.55 for MDF. The developed equation allowed to simulate the theoretical curves of thermal conversion. These curves indicated the highest conversion at the temperature of the degradation of dominant component, which was experimentally verified. By this method, a one-step kinetic model is derived, which can be applied for the reaction kinetics in the CFD modelling of, e.g., pyrolysis and gasification processes.
Journal of Environme... arrow_drop_down Journal of Environmental ManagementArticle . 2022 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.20 citations 20 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Journal of Environme... arrow_drop_down Journal of Environmental ManagementArticle . 2022 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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You have already added works in your ORCID record related to the merged Research product.description Publicationkeyboard_double_arrow_right Article 2023Publisher:Elsevier BV Dominik Flick; Melina Vruna; Milan Bartos; Li Ji; Christoph Herrmann; Sebastian Thiede;In order to reduce industrial greenhouse gas emissions, systematic energy demand analysis and the derivation of improvement strategies are key. Against this background, a methodology for data driven energy demand prediction and performance benchmarking for factories is presented. The machine learning based approach enables to quantify performance influencing factors, identify “best in class” factories and fields of action for improvement. The results are validated within an automotive OEM internal and even external competitor assessment. The transferable approach based on well accessible public data also enables larger industry wide studies.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.Access Routeshybrid 5 citations 5 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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description Publicationkeyboard_double_arrow_right Article , Research , Preprint 2021Embargo end date: 01 Jan 2020Publisher:Springer Science and Business Media LLC Publicly fundedFunded by:EC | AMVA4NewPhysics, EC | INSIGHTS, EC | LHCTOPVLQEC| AMVA4NewPhysics ,EC| INSIGHTS ,EC| LHCTOPVLQSirunyan, A. M.; Tumasyan, A.; Adam, W.; Ambrogi, F.; Bergauer, T.; Dragicevic, M.; Ero, J.; Del Valle, A. Escalante; Fruhwirth, R.; Jeitler, M.; Krammer, N.; Lechner, L.; Liko, D.; Madlener, T.; Mikulec, I; Pitters, F. M.; Rad, N.; Schieck, J.; Schofbeck, R.; Spanring, M.; Templ, S.; Waltenberger, W.; Wulz, C-E; Zarucki, M.; Chekhovsky, V; Litomin, A.; Makarenko, V; Gonzalez, J. Suarez; Darwish, M. R.; De Wolf, E. A.; Di Croce, D.; Janssen, X.; Kello, T.; Lelek, A.; Pieters, M.; Sfar, H. Rejeb; Van Haevermaet, H.; Van Mechelen, P.; Van Putte, S.; Van Remortel, N.; Blekman, F.; Bols, E. S.; Chhibra, S. S.; D'Hondt, J.; De Clercq, J.; Lontkovskyi, D.; Lowette, S.; Marchesini, I; Moortgat, S.; Morton, A.; Python, Q.; Tavernier, S.; Van Doninck, W.; Van; Mulders, P.; Beghin, D.; Bilin, B.; Clerbaux, B.; De; Lentdecker, G.; Dorney, B.; Favart, L.; Grebenyuk, A.; Kalsi, A. K.; Makarenko, I; Moureaux, L.; Petre, L.; Popov; A.; Postiau, N.; Starling, E.; Thomas, L.; Vander Velde, C.; Vanlaer, P.; Vannerom, D.; Wezenbeek, L.; Cornelis, T.; Dobur, D.; Gruchala, M.; Khvastunov, I; Niedziela, M.; Roskas, C.; Skovpen, K.; Tytgat, M.; Verbeke, W.; Vermassen; B.; Vit, M.; Bruno, G.; Bury, F.; Caputo, C.; David, P.; Delaere, C.; Delcourt, M.; Donertas, I. S.; Giammanco, A.; Lemaitre, V; Mondal, K.; Prisciandaro, J.; Taliercio, A.; Teklishyn, M.; Vischia, P.; Wuyckens, S.; Zobec, J.; Alves, G. A.; Correia Silva, G.; Hensel, C.; Moraes, A.; Alda Junior, W. L.; Belchior Batista Das Chagas, E.; Brandao; Malbouisson, H.; Carvalho, W.; Chinellato, J.; Coelho, E.; Da Costa, E. M.; Da Silveira, G. G.; De Jesus Damiao, D.; Fonseca De Souza, S.; Martins, J.; Matos Figueiredo, D.; Medina; Jaime, M.; Melo De Almeida, M.; Mora Herrera, C.; Mundim, L.; Nogima, H.; Rebello Teles, P.; Sanchez Rosas, L. J.; Santoro, A.; Silva Do Amaral, S. M.; Sznajder, A.; Thiel, M.; Tonelli Manganote, E. J.; Torres Da Silva De Araujo, F.; Vilela Pereira, A.; Bernardes, C. A.; Calligaris, L.; Fernandez; Perez Tomei, T. R.; Gregores, E. M.; Lemos, D. S.; Mercadante; P. G.; Novaes, S. F.; Padula, Sandra S.; Aleksandrov, A.; Antchev, G.; Atanasov, I; Hadjiiska, R.; Iaydjiev, P.; Misheva, M.; Rodozov, M.; Shopova, M.; Sultanov, G.; Bonchev, M.; Dimitrov, A.; Ivanov, T.; Litov, L.; Pavlov, B.; Petkov, P.; Petrov, A.; Fang, W.; Guo, Q.; Wang, H.; Yuan, L.; Ahmad, M.; Hu, Z.; Wang, Y.; Chapon, E.; Chen; G. M.; Chen, H. S.; Chen, M.; Kapoor, A.; Leggat, D.; Liao, H.; Liu, Z.; Sharma, R.; Spiezia, A.; Tao, J.; Thomas-wilsker, J.; Wang, J.; Zhang, H.; Zhang, S.; Zhao, J.; Agapitos, A.; Ban, Y.; Chen, C.; Huang, Q.; Levin, A.; Li, Q.; Lu, M.; Lyu, X.; Mao, Y.; Qian, S. J.; Wang; D.; Wang, Q.; Xiao, J.;doi: 10.1140/epjc/s10052-020-08817-8 , 10.48550/arxiv.2009.01186 , 10.3204/pubdb-2021-01404 , 10.5445/ir/1000133495 , 10.3204/pubdb-2020-03553 , 10.18154/rwth-2021-04402 , 10.18154/rwth-2021-04323
pmid: 33750993
pmc: PMC7921081
handle: 10486/704420 , 10651/61050 , 11588/981266 , 11368/2981217 , 20.500.12960/1096 , 10281/308797 , 10679/8214 , 10067/1775930151162165141 , 11449/210711 , 11492/4967 , 10831/111002 , 11503/974 , 11486/5265 , 11577/3400582 , 11573/1639263 , 11584/420886 , 11567/1050491 , 11568/1134020 , 11589/257781 , 11391/1507393 , 11384/101251 , 11585/853320 , 20.500.11769/526794 , 2158/1297765 , 1854/LU-8702116 , 2318/1841118 , 11579/135374 , 11563/159092 , 10044/1/87583 , 11586/374199 , 11571/1478316
doi: 10.1140/epjc/s10052-020-08817-8 , 10.48550/arxiv.2009.01186 , 10.3204/pubdb-2021-01404 , 10.5445/ir/1000133495 , 10.3204/pubdb-2020-03553 , 10.18154/rwth-2021-04402 , 10.18154/rwth-2021-04323
pmid: 33750993
pmc: PMC7921081
handle: 10486/704420 , 10651/61050 , 11588/981266 , 11368/2981217 , 20.500.12960/1096 , 10281/308797 , 10679/8214 , 10067/1775930151162165141 , 11449/210711 , 11492/4967 , 10831/111002 , 11503/974 , 11486/5265 , 11577/3400582 , 11573/1639263 , 11584/420886 , 11567/1050491 , 11568/1134020 , 11589/257781 , 11391/1507393 , 11384/101251 , 11585/853320 , 20.500.11769/526794 , 2158/1297765 , 1854/LU-8702116 , 2318/1841118 , 11579/135374 , 11563/159092 , 10044/1/87583 , 11586/374199 , 11571/1478316
AbstractThe production of Z boson pairs in proton–proton ($${\mathrm{p}} {\mathrm{p}} $$ p p ) collisions, $${{\mathrm{p}} {\mathrm{p}} \rightarrow ({\mathrm{Z}}/\gamma ^*)({\mathrm{Z}}/\gamma ^*) \rightarrow 2\ell 2\ell '}$$ p p → ( Z / γ ∗ ) ( Z / γ ∗ ) → 2 ℓ 2 ℓ ′ , where $${\ell ,\ell ' = {\mathrm{e}}}$$ ℓ , ℓ ′ = e or $${{\upmu }}$$ μ , is studied at a center-of-mass energy of 13$$\,\text {TeV}$$ TeV with the CMS detector at the CERN LHC. The data sample corresponds to an integrated luminosity of 137$$\,\text {fb}^{-1}$$ fb - 1 , collected during 2016–2018. The $${\mathrm{Z}} {\mathrm{Z}} $$ Z Z production cross section, $$\sigma _{\text {tot}} ({\mathrm{p}} {\mathrm{p}} \rightarrow {\mathrm{Z}} {\mathrm{Z}} ) = 17.4 \pm 0.3 \,\text {(stat)} \pm 0.5 \,\text {(syst)} \pm 0.4 \,\text {(theo)} \pm 0.3 \,\text {(lumi)} \text { pb} $$ σ tot ( p p → Z Z ) = 17.4 ± 0.3 (stat) ± 0.5 (syst) ± 0.4 (theo) ± 0.3 (lumi) pb , measured for events with two pairs of opposite-sign, same-flavor leptons produced in the mass region $${60< m_{\ell ^+\ell ^-} < 120\,\text {GeV}}$$ 60 < m ℓ + ℓ - < 120 GeV is consistent with standard model predictions. Differential cross sections are also measured and agree with theoretical predictions. The invariant mass distribution of the four-lepton system is used to set limits on anomalous $${\mathrm{Z}} {\mathrm{Z}} {\mathrm{Z}} $$ Z Z Z and $${{\mathrm{Z}} {\mathrm{Z}} \gamma }$$ Z Z γ couplings.
Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2021Data sources: Recolector de Ciencia Abierta, RECOLECTAPadua research Archive (Archivio istituzionale della ricerca - Università di Padova)Article . 2021License: CC BYArchivio della ricerca- Università di Roma La SapienzaArticle . 2021License: CC BY NC NDData sources: Archivio della ricerca- Università di Roma La SapienzaArchivio della Ricerca - Università di PisaArticle . 2021License: CC BYData sources: Archivio della Ricerca - Università di PisaBelarusian State University: Electronic Library BSUArticle . 2021License: CC BYFull-Text: https://elib.bsu.by/handle/123456789/289295Data sources: Bielefeld Academic Search Engine (BASE)Brunel University London: Brunel University Research Archive (BURA)Article . 2021License: CC BYFull-Text: https://bura.brunel.ac.uk/handle/2438/22652Data sources: Bielefeld Academic Search Engine (BASE)University of California: eScholarshipArticle . 2021License: CC BYFull-Text: https://escholarship.org/uc/item/3804229hData sources: Bielefeld Academic Search Engine (BASE)Imperial College London: SpiralArticle . 2020License: CC BYFull-Text: http://hdl.handle.net/10044/1/87583Data sources: Bielefeld Academic Search Engine (BASE)Università degli Studi di Bari Aldo Moro: CINECA IRISArticle . 2021Full-Text: https://hdl.handle.net/11586/374199Data sources: Bielefeld Academic Search Engine (BASE)Caltech Authors (California Institute of Technology)Article . 2021Full-Text: https://arxiv.org/abs/2009.01186Data sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)European Physical Journal C: Particles and FieldsArticle . 2021 . 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more_vert Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2021Data sources: Recolector de Ciencia Abierta, RECOLECTAPadua research Archive (Archivio istituzionale della ricerca - Università di Padova)Article . 2021License: CC BYArchivio della ricerca- Università di Roma La SapienzaArticle . 2021License: CC BY NC NDData sources: Archivio della ricerca- Università di Roma La SapienzaArchivio della Ricerca - Università di PisaArticle . 2021License: CC BYData sources: Archivio della Ricerca - Università di PisaBelarusian State University: Electronic Library BSUArticle . 2021License: CC BYFull-Text: https://elib.bsu.by/handle/123456789/289295Data sources: Bielefeld Academic Search Engine (BASE)Brunel University London: Brunel University Research Archive (BURA)Article . 2021License: CC BYFull-Text: https://bura.brunel.ac.uk/handle/2438/22652Data sources: Bielefeld Academic Search Engine (BASE)University of California: eScholarshipArticle . 2021License: CC BYFull-Text: https://escholarship.org/uc/item/3804229hData sources: Bielefeld Academic Search Engine (BASE)Imperial College London: SpiralArticle . 2020License: CC BYFull-Text: http://hdl.handle.net/10044/1/87583Data sources: Bielefeld Academic Search Engine (BASE)Università degli Studi di Bari Aldo Moro: CINECA IRISArticle . 2021Full-Text: https://hdl.handle.net/11586/374199Data sources: Bielefeld Academic Search Engine (BASE)Caltech Authors (California Institute of Technology)Article . 2021Full-Text: https://arxiv.org/abs/2009.01186Data sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)European Physical Journal C: Particles and FieldsArticle . 2021 . 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You have already added works in your ORCID record related to the merged Research product.description Publicationkeyboard_double_arrow_right Article 2024Publisher:Elsevier BV Funded by:MESTD | Ministry of Education, Sc..., DFG | Biological Responses to N..., UKRI | ForeSight: Predicting and...MESTD| Ministry of Education, Science and Technological Development, Republic of Serbia, Grant no. 451-03-68/2020-14/200169 (University of Belgrade, Faculty of Forestry) ,DFG| Biological Responses to Novel and Changing Environments ,UKRI| ForeSight: Predicting and monitoring drought-linked forest growth decline across EuropeLeifsson, Christopher; Buras, Allan; Klesse, Stefan; Baittinger, Claudia; Bat-Enerel, Banzragch; Battipaglia, Giovanna; Biondi, Franco; Stajić, Branko; Budeanu, Marius; Čada, Vojtěch; Cavin, Liam; Claessens, Hugues; Čufar, Katarina; de Luis, Martin; Dorado-Liñán, Isabel; Dulamsuren, Choimaa; Garamszegi, Balázs; Grabner, Michael; Hacket-Pain, Andrew; Hansen, Jon Kehlet; Hartl, Claudia; Huang, Weiwei; Janda, Pavel; Jump, Alistair; Kazimirović, Marko; Knutzen, Florian; Kreyling, Jürgen; Land, Alexander; Latte, Nicolas; Lebourgeois, François; Leuschner, Christoph; Longares, Luis; Martinez del Castillo, Edurne; Menzel, Annette; Motta, Renzo; Muffler-Weigel, Lena; Nola, Paola; Panayatov, Momchil; Petritan, Any Mary; Petritan, Ion Catalin; Popa, Ionel; Roibu, Cǎtǎlin-Constantin; Rubio-Cuadrado, Álvaro; Rydval, Miloš; Scharnweber, Tobias; Camarero, J. Julio; Svoboda, Miroslav; Toromani, Elvin; Trotsiuk, Volodymyr; van der Maaten-Theunissen, Marieke; van der Maaten, Ernst; Weigel, Robert; Wilmking, Martin; Zlatanov, Tzvetan; Rammig, Anja; Zang, Christian;pmid: 38782287
The future performance of the widely abundant European beech (Fagus sylvatica L.) across its ecological amplitude is uncertain. Although beech is considered drought-sensitive and thus negatively affected by drought events, scientific evidence indicating increasing drought vulnerability under climate change on a cross-regional scale remains elusive. While evaluating changes in climate sensitivity of secondary growth offers a promising avenue, studies from productive, closed-canopy forests suffer from knowledge gaps, especially regarding the natural variability of climate sensitivity and how it relates to radial growth as an indicator of tree vitality. Since beech is sensitive to drought, we in this study use a drought index as a climate variable to account for the combined effects of temperature and water availability and explore how the drought sensitivity of secondary growth varies temporally in dependence on growth variability, growth trends, and climatic water availability across the species' ecological amplitude. Our results show that drought sensitivity is highly variable and non-stationary, though consistently higher at dry sites compared to moist sites. Increasing drought sensitivity can largely be explained by increasing climatic aridity, especially as it is exacerbated by climate change and trees' rank progression within forest communities, as (co-)dominant trees are more sensitive to extra-canopy climatic conditions than trees embedded in understories. However, during the driest periods of the 20th century, growth showed clear signs of being decoupled from climate. This may indicate fundamental changes in system behavior and be early-warning signals of decreasing drought tolerance. The multiple significant interaction terms in our model elucidate the complexity of European beech's drought sensitivity, which needs to be taken into consideration when assessing this species' response to climate change.
Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2025 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAUniversity of Freiburg: FreiDokArticle . 2024Full-Text: https://freidok.uni-freiburg.de/data/261433Data sources: Bielefeld Academic Search Engine (BASE)Digital Repository of University of Zaragoza (ZAGUAN)Article . 2024License: CC BYFull-Text: http://zaguan.unizar.es/record/135789Data sources: Bielefeld Academic Search Engine (BASE)University of Stirling: Stirling Digital Research RepositoryArticle . 2024License: CC BYFull-Text: http://hdl.handle.net/1893/36046Data sources: Bielefeld Academic Search Engine (BASE)The Science of The Total EnvironmentArticle . 2024 . Peer-reviewedLicense: CC BYData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAArticle . 2024Data sources: Recolector de Ciencia Abierta, RECOLECTADigital Repository of University of ZaragozaArticle . 2024Data sources: Digital Repository of University of ZaragozaPublikationenserver der Georg-August-Universität GöttingenArticle . 2024Copenhagen University Research Information SystemArticle . 2024Data sources: Copenhagen University Research Information SystemRepository of the University of LjubljanaArticle . 2024Data sources: Repository of the University of LjubljanaMinistry of Culture Research PortalArticle . 2024License: CC BYData sources: Ministry of Culture Research PortalUniversity of Copenhagen: ResearchArticle . 2024Data sources: Bielefeld Academic Search Engine (BASE)Omorika - Repository of the Faculty of Forestry, BelgradeArticle . 2024Institut National de la Recherche Agronomique: ProdINRAArticle . 2024Data sources: Bielefeld Academic Search Engine (BASE)IRIS UNIPV (Università degli studi di Pavia)Article . 2024Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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more_vert Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2025 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAUniversity of Freiburg: FreiDokArticle . 2024Full-Text: https://freidok.uni-freiburg.de/data/261433Data sources: Bielefeld Academic Search Engine (BASE)Digital Repository of University of Zaragoza (ZAGUAN)Article . 2024License: CC BYFull-Text: http://zaguan.unizar.es/record/135789Data sources: Bielefeld Academic Search Engine (BASE)University of Stirling: Stirling Digital Research RepositoryArticle . 2024License: CC BYFull-Text: http://hdl.handle.net/1893/36046Data sources: Bielefeld Academic Search Engine (BASE)The Science of The Total EnvironmentArticle . 2024 . Peer-reviewedLicense: CC BYData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAArticle . 2024Data sources: Recolector de Ciencia Abierta, RECOLECTADigital Repository of University of ZaragozaArticle . 2024Data sources: Digital Repository of University of ZaragozaPublikationenserver der Georg-August-Universität GöttingenArticle . 2024Copenhagen University Research Information SystemArticle . 2024Data sources: Copenhagen University Research Information SystemRepository of the University of LjubljanaArticle . 2024Data sources: Repository of the University of LjubljanaMinistry of Culture Research PortalArticle . 2024License: CC BYData sources: Ministry of Culture Research PortalUniversity of Copenhagen: ResearchArticle . 2024Data sources: Bielefeld Academic Search Engine (BASE)Omorika - Repository of the Faculty of Forestry, BelgradeArticle . 2024Institut National de la Recherche Agronomique: ProdINRAArticle . 2024Data sources: Bielefeld Academic Search Engine (BASE)IRIS UNIPV (Università degli studi di Pavia)Article . 2024Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.description Publicationkeyboard_double_arrow_right Article , Conference object 2023Publisher:MDPI AG Authors: Sigle, Sebastian; Hahn, Robert;doi: 10.3390/en16186512
Heavy-duty vehicles (HDVs) are responsible for a significant amount of CO2 emissions in the transport sector. The share of these vehicles is still increasing in the European Union (EU); nevertheless, rigorous CO2 emission reduction schemes will apply in the near future. Different measures to decrease CO2 emissions are being already discussed, e.g., the electrification of the powertrain. Additionally, the impact of autonomous driving on energy consumption is being investigated. The most common types are fuel cell vehicles (FCEVs) and battery-only vehicles (BEVs). It is still unclear which type of powertrain will prevail in the future. Therefore, we developed a method to compare different powertrain options based on different scenarios in terms of primary energy consumption, CO2 emissions, and fuel costs. We compared the results with the internal combustion engine vehicle (ICEV). The model includes a model for the climatization of the driver’s cabin, which we used to investigate the impact of autonomous driving on energy consumption. It became clear that certain powertrains offer advantages for certain applications and that sensitivities exist with regard to primary energy and CO2 emissions. Overall, it became clear that electrified powertrains could reduce the CO2 emissions and the primary energy consumption of HDVs. Moreover, autonomous vehicles can save energy in most cases.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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You have already added works in your ORCID record related to the merged Research product.description Publicationkeyboard_double_arrow_right Doctoral thesis 2023Embargo end date: 15 May 2023Publisher:RWTH Aachen University Authors: Abdelshafy, Ali Ezzat Abdelhamid;The transformation towards carbon-neutral and circular economies and industrial systems is of utmost importance facing climate change and scarcity of resources. To tackle the resulting enormous planning and implementation tasks, there exist on the one hand very detailed bottom-up process models and roadmaps for specific technologies and companies, and on the other hand highly aggregated top-down approaches and scenarios for climate-neutral trajectories at global, EU and national scale. However, only few approaches so far specifically address the regional application level, which is of high importance for the implementation of car-bon-neutral and circular industrial systems because of the many intersectoral relations between companies and manifold links between material and energy flows within a region. This holds especially for the regional interrelations of energy and material intensive industries like steel, cement, or chemistry. Additionally, regional characteristics will have a strong impact on the design of new pipeline infrastructures for the transportation of hydrogen or CO2. Therefore, regional analyses and integrated approaches for modelling and assessment are required to overcome these gaps methods and applications. Against this background, the aim of this dissertation is to develop integrated modelling, evaluation and planning approaches for the transformation towards carbon-neutral and circular industrial systems and infrastructures with specific emphasis on solutions for the regional level. The dissertation serves to provide transparency on the development of material and energy flows over time, supports technology choice decisions based on techno-economic and environmental evaluations, and supports policy and management decisions on infrastructure and technology investments. The developed approaches have to regard for many requirements and challenges, i.e., approaches need to applicable at regional level, regard for the nexus between carbon neutrality and circular economy, incorporate intersectoral interdependencies between companies and material flows, be interdisciplinary in that they are able to regard for technical, economic, environmental as well as social aspects, consider spatial relations and regional networks, and are dynamic in that they regard for the transformation over time. These requirements and challenges are analysed and integrated via different methodological approaches and system boundaries. The dissertation specifically addresses the transformation of the metals and cement & construction sectors in North Rhine-Westphalia (NRW), a region that accounts for one third of the German cement and chemical production and two fifths of the steel production in Germany. Being a crucial hub for the heavy industries in Eu-rope, the state is responsible for one quarter of the annual GHG emissions in Germany, half of these emissions comes from the energy sector and approximately one fifth is generated by the regional industries. As the state is currently witnessing fundamental structural changes in the industrial sector, it is a suitable region for investigating the transformation process and demonstrating the respective methods. Moreover, the state can also represent the main features of other industrial regions in Germany and Europe. The dissertation consists of five parts. Part I presents the background, structure and region of interest, and dis-cusses the adopted methods and derived approaches. The next three parts (II – IV) encompass the cumulative dissertation. Herein, it is composed of nine peer-reviewed publications that address the two mentioned sectors (i.e. metals and cement & construction) via using different methods and system boundaries. Part II on the metals sector comprises three papers. Paper 1 addresses the industrial transformation in the steel industry by means of developing a hybrid model that defines and quantifies the changes in the regional and energy material flows in North Rhine-Westphalia. Paper 2 determines the causes of CO2 emissions during the production process of cast iron and steel and the mitigation potentials. Paper 3 presents a techno-economic and environmental (TEE) assessment to study the impact of increasing the share of secondary inputs (i.e. steel scrap) from an interdisciplinary perspective. Part III on the cement and construction industry contains four publications. Paper 4 studies the role of CCUS in decarbonizing the cement industry and discusses its necessity as well as the associated challenges. The paper is based on an extensive literature review and analyses the supply chains, the various options that cement producers have to mitigate their emissions and their techno-economic requirements, advantages, drawbacks, boundaries and challenges. Paper 5 aims at promoting a circular economy in the construction sector via presenting a novel model that estimates the regional supply and demand of secondary materials over time. Paper 6 focuses on the spatial aspects of carbonation as a specific CCU technology, and realizes a relationship between the distance and CO2 sequestration capacity in NRW via locational material flow analysis and an optimization model. Paper 7 enhances this analysis by using more data inputs and classifying the available materials into different categories, which results in more detailed analyses and outcomes. Part IV on the intersectoral impacts and infrastructure planning consists of two papers. Paper 8 focuses on the relationship between carbon neutrality and circular economy via an intersectoral energy and material flow analysis in NRW. Herein, a broad system boundary has been defined in order to comprehensively include a wide range of industrial value chains. Paper 9 presents an extensive analysis on the configurations and costs of the prospective CO2 network in Germany. Part V on the Conclusions & Outlook presents the main outcomes of the dissertation, and recommendations for future research activities. Methodologically, the derived approaches and frameworks are based on three fundamental methods A) Mate-rial Flow Analysis (MFA), B) integrated TEE assessment, and C) planning of optimal networks and infrastructures. A) The basic MFA methodology has been extended by integrating dimensions such as time, location, and process modelling. As a result, extended approaches such as regional intersectoral MFA, prospective MFA, locational MFA, and dynamic-locational MFA are developed and applied to practical planning case studies. B) Integrated TEE assessment is applied as a comprehensive approach to merge the relationship between the technical, economic and environmental performance. The derived framework is used to investigate and optimize the three aspects simultaneously. C) Approaches for planning of optimal networks and infrastructure are used to design the prospective infrastructures, specifically the CO2 pipeline network in Germany. Herein, an optimization model has been developed based on an extensive number of datasets and a scenario analysis has been also carried out to illustrate the impacts of different conditions. Overall, this dissertation succeeded in providing innovative modelling extensions and integrations, which have been used to investigate ongoing serious themes and address real industrial questions. The quantitative and qualitative analyses have achieved the dissertation’s goals and fulfilled the identified requirements. The presented case studies on the different industries and materials have demonstrated the effectiveness of the derived frameworks, which can be also used to solve other problems. Therefore, the dissertation is an added value to the academia and of high interest for the industrial sector and policymakers. For researchers, the presented models provide a basis for further studies and research. For the industrial sector and policymakers, the comprehensive analyses and conclusions can be very helpful in deriving regional strategies and roadmaps. Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2023; Aachen : RWTH Aachen University 1 Online-Ressource : Illustrationen, Diagramme, Karten (2023). doi:10.18154/RWTH-2023-05379 = Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2023 Published by RWTH Aachen University, Aachen
Publikationsserver d... arrow_drop_down Publikationsserver der RWTH Aachen UniversityDoctoral thesis . 2023Data sources: Publikationsserver der RWTH Aachen Universityadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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more_vert Publikationsserver d... arrow_drop_down Publikationsserver der RWTH Aachen UniversityDoctoral thesis . 2023Data sources: Publikationsserver der RWTH Aachen Universityadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.description Publicationkeyboard_double_arrow_right Article , Other literature type 2021Embargo end date: 05 Dec 2023Publisher:Frontiers Media SA Funded by:EC | MICROWATER, EC | VORTEXEC| MICROWATER ,EC| VORTEXSimon Guerrero-Cruz; Simon Guerrero-Cruz; Annika Vaksmaa; Marcus A. Horn; Helge Niemann; Helge Niemann; Helge Niemann; Maite Pijuan; Maite Pijuan; Adrian Ho; Adrian Ho;Methane is the final product of the anaerobic decomposition of organic matter. The conversion of organic matter to methane (methanogenesis) as a mechanism for energy conservation is exclusively attributed to the archaeal domain. Methane is oxidized by methanotrophic microorganisms using oxygen or alternative terminal electron acceptors. Aerobic methanotrophic bacteria belong to the phyla Proteobacteria and Verrucomicrobia, while anaerobic methane oxidation is also mediated by more recently discovered anaerobic methanotrophs with representatives in both the bacteria and the archaea domains. The anaerobic oxidation of methane is coupled to the reduction of nitrate, nitrite, iron, manganese, sulfate, and organic electron acceptors (e.g., humic substances) as terminal electron acceptors. This review highlights the relevance of methanotrophy in natural and anthropogenically influenced ecosystems, emphasizing the environmental conditions, distribution, function, co-existence, interactions, and the availability of electron acceptors that likely play a key role in regulating their function. A systematic overview of key aspects of ecology, physiology, metabolism, and genomics is crucial to understand the contribution of methanotrophs in the mitigation of methane efflux to the atmosphere. We give significance to the processes under microaerophilic and anaerobic conditions for both aerobic and anaerobic methane oxidizers. In the context of anthropogenically influenced ecosystems, we emphasize the current and potential future applications of methanotrophs from two different angles, namely methane mitigation in wastewater treatment through the application of anaerobic methanotrophs, and the biotechnological applications of aerobic methanotrophs in resource recovery from methane waste streams. Finally, we identify knowledge gaps that may lead to opportunities to harness further the biotechnological benefits of methanotrophs in methane mitigation and for the production of valuable bioproducts enabling a bio-based and circular economy.
Frontiers in Microbi... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2021 . Peer-reviewedLicense: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTAMunin - Open Research ArchiveArticle . 2021 . Peer-reviewedData sources: Munin - Open Research ArchiveFrontiers in MicrobiologyArticle . 2021 . Peer-reviewedData sources: European Union Open Data PortalRecolector de Ciencia Abierta, RECOLECTAArticle . 2021 . Peer-reviewedLicense: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTADUGiDocs – Universitat de GironaArticle . 2021 . Peer-reviewedData sources: DUGiDocs – Universitat de Gironaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.Access RoutesGreen gold 190 citations 190 popularity Top 1% influence Top 10% impulse Top 0.1% Powered by BIP!
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more_vert Frontiers in Microbi... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2021 . Peer-reviewedLicense: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTAMunin - Open Research ArchiveArticle . 2021 . Peer-reviewedData sources: Munin - Open Research ArchiveFrontiers in MicrobiologyArticle . 2021 . Peer-reviewedData sources: European Union Open Data PortalRecolector de Ciencia Abierta, RECOLECTAArticle . 2021 . Peer-reviewedLicense: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTADUGiDocs – Universitat de GironaArticle . 2021 . Peer-reviewedData sources: DUGiDocs – Universitat de Gironaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.description Publicationkeyboard_double_arrow_right Article , Other literature type 2023Publisher:Elsevier BV Da Zhang; Qingyi Wang; Shaojie Song; Simiao Chen; Mingwei Li; Lu Shen; Siqi Zheng; Bofeng Cai; Shenhao Wang; Haotian Zheng;Estimating health benefits of reducing fossil fuel use from improved air quality provides important rationales for carbon emissions abatement. Simulating pollution concentration is a crucial step of the estimation, but traditional approaches often rely on complicated chemical transport models that require extensive expertise and computational resources. In this study, we develop a machine learning framework that is able to provide precise and robust annual average fine particle (PM2.5) concentration estimations directly from a high-resolution fossil energy use dataset. Applications of the framework with Chinese data reveal highly heterogeneous health benefits of avoiding premature mortality by reducing fossil fuel use in different sectors and regions in China with a mean of $19/tCO2 and a standard deviation of $38/tCO2. Reducing rural and residential coal use offers the highest co-benefits with a mean of $151/tCO2. Our findings prompt careful policy designs to maximize cost-effectiveness in the transition toward a carbon-neutral energy system.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.Access RoutesGreen gold 2 citations 2 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.description Publicationkeyboard_double_arrow_right Article 2024Publisher:Elsevier BV Authors: Amvrosios G. Georgiadis; Anastasios I. Tsiotsias; George I. Siakavelas; Nikolaos D. Charisiou; +7 AuthorsAmvrosios G. Georgiadis; Anastasios I. Tsiotsias; George I. Siakavelas; Nikolaos D. Charisiou; Benedikt Ehrhardt; Wen Wang; Victor Sebastian; Steven J. Hinder; Mark A. Baker; Simone Mascotto; Maria A. Goula;handle: 10261/396496
The work presented herein reports on the investigation of the biogas dry reforming catalytic performance of LaNiO3 (LNO), La0.8Sm0.2NiO3 (LSNO), La0.8Pr0.2NiO3 (LPNO) and La0.8Ce0.2NiO3 (LCNO). The perovskite-type materials were synthesized via citrate sol-gel and characterized using XRD, N2 physisorption H2-TPR, H2-TPD, TEM, HAADF-STEM and XPS. The performance of all catalysts in terms of both activity and stability was examined in order to assess the effect of temperature on the CH4 and CO2 conversion, as well as on the H2 and CO yield and the H2/CO molar ratio of the produced gas mixture. Experimental results showed that modification of LaNiO3 with Sm and Pr enhanced the catalytic performance in terms of catalytic stability and reduced the order/crystallinity of the deposited coke. A theoretical model was also produced in Python with the purpose of simulating the catalytic performance. Modelling results showed a good agreement with the experimental values and therefore confirm the validity of the model for predicting the dry reforming catalytic performance.
Renewable Energy arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2024Data sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2025 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTADigital Repository of University of ZaragozaArticle . 2024Data sources: Digital Repository of University of ZaragozaDigital Repository of University of Zaragoza (ZAGUAN)Article . 2024Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.12 citations 12 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Renewable Energy arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2024Data sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2025 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTADigital Repository of University of ZaragozaArticle . 2024Data sources: Digital Repository of University of ZaragozaDigital Repository of University of Zaragoza (ZAGUAN)Article . 2024Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.description Publicationkeyboard_double_arrow_right Article , Other literature type 2023Publisher:MDPI AG Funded by:DFGDFGAuthors: Manfred Dollinger; Gerhard Fischerauer;The increasing market share of electric vehicles and the politically intended phase-out of the internal combustion engine require reliable and realistic predictions for future consumption and greenhouse gas emissions as a function of technological solutions. This also includes the consumption- and emission-intensive transport of goods. We consider both passenger vehicles and commercial vehicle traffic in our study and have investigated whether there are drive alternatives to the battery electric vehicle that enable uninterrupted trips with a long range, especially for regional delivery services and internationally active freight forwarders. To this end, we have analysed three system architectures and their expected technological progress until 2050: battery electric vehicles (BEV), fuel cell electric vehicles (FCEV), and internal combustion engine vehicles (ICEV) running on compressed natural gas (CNG). The latter case serves as a best-practice reference from a combustion technology perspective. The analysis is based on a validated and proven physical model and predicts that the BEV2050 will consume 3.5 times less energy and emit 15 times fewer greenhouse gases than the ICEV-CNG2020, whereas the FCEV2050 will consume 2.5 times less energy and emit 6.5 times fewer greenhouse gases than the ICEV-CNG2020 on the road (hilly terrain, transition season, and WLTP triple-mixed drive cycle). The advantages of the BEV result from the shorter drive train with lower total losses. Our results thus confirm the expected role of the BEV as the dominant drive technology in the future, and light vehicles with low-to-medium-range requirements will especially benefit from it. On the other hand, since the greenhouse gas emissions of the FCEV2050 are lower by a factor of 6.5 than those of the ICEV-CNG2020, it is reasonable to conclude that the FCEV can play a significant role in transport until 2050 when long distances have to be covered. Our model-based approach also allows us to determine the energy fractions of the acting physical forces and thus calculate the consumption shares: electric drive recuperation increases BEV and FCEV range by about 15% in 2020 and will increase it by about 20% in 2050, depending on drive technology and vehicle type. Air and rolling resistance contribute 20% each to the total consumption. The consumption of the accessories of modern vehicles with a share of about 10% of the total consumption cannot be neglected.
Energies arrow_drop_down EnergiesOther literature type . 2023License: CC BYFull-Text: http://www.mdpi.com/1996-1073/16/8/3591/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.Access Routesgold 6 citations 6 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Energies arrow_drop_down EnergiesOther literature type . 2023License: CC BYFull-Text: http://www.mdpi.com/1996-1073/16/8/3591/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.description Publicationkeyboard_double_arrow_right Article 2022Publisher:Elsevier BV Artur Bieniek; Markus Reinmöller; Felix Küster; Martin Gräbner; Wojciech Jerzak; Aneta Magdziarz;pmid: 35839650
Pyrolysis of the waste organic fraction is expected to be a central element to meet the primary energy demand in future: it increases the impact of renewable energy sources on the power generation sector and allows the amount of waste to be reduced, putting an end to landfills. In the present study, kinetic studies on the pyrolysis of biomass wastes are carried out. Two kinds of industrial organic waste are investigated: brewery spent grain (BSG) and medium-density fiberboard (MDF). The main target of this work is to provide a global equation for the one-step pyrolysis reaction of the investigated materials in an argon atmosphere using isoconversional methods. The conducted analysis allowed to estimate the activation energy as 225.4-253.6 kJ/mol for BSG and 197.9-216.7 kJ/mol for MDF. For both materials nth order reaction was proposed with reaction order of 7.69-8.70 for BSG and 6.32-6.55 for MDF. The developed equation allowed to simulate the theoretical curves of thermal conversion. These curves indicated the highest conversion at the temperature of the degradation of dominant component, which was experimentally verified. By this method, a one-step kinetic model is derived, which can be applied for the reaction kinetics in the CFD modelling of, e.g., pyrolysis and gasification processes.
Journal of Environme... arrow_drop_down Journal of Environmental ManagementArticle . 2022 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.20 citations 20 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Journal of Environme... arrow_drop_down Journal of Environmental ManagementArticle . 2022 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.description Publicationkeyboard_double_arrow_right Article 2023Publisher:Elsevier BV Dominik Flick; Melina Vruna; Milan Bartos; Li Ji; Christoph Herrmann; Sebastian Thiede;In order to reduce industrial greenhouse gas emissions, systematic energy demand analysis and the derivation of improvement strategies are key. Against this background, a methodology for data driven energy demand prediction and performance benchmarking for factories is presented. The machine learning based approach enables to quantify performance influencing factors, identify “best in class” factories and fields of action for improvement. The results are validated within an automotive OEM internal and even external competitor assessment. The transferable approach based on well accessible public data also enables larger industry wide studies.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.Access Routeshybrid 5 citations 5 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.
