Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-23533
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dc.contributor.authorZapata Riveros, Juliana Victoria-
dc.contributor.authorSpeich, Matthias-
dc.contributor.authorWest, Mirjam-
dc.contributor.authorUlli-Beer, Silvia-
dc.date.accessioned2021-11-22T12:17:39Z-
dc.date.available2021-11-22T12:17:39Z-
dc.date.issued2021-06-29-
dc.identifier.issn2071-1050de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/23533-
dc.description.abstractCreating new business models is crucial for the implementation of clean technologies for industrial decarbonization. With incomplete knowledge of market processes and uncertain conditions, assessing the prospects of a technology-based business model is challenging. This study combines business model innovation, system dynamics, and exploratory model analysis to identify new business opportunities in a context of sociotechnical transition and assess their prospects through simulation experiments. This combination of methods is applied to the case of a potential business model for Distribution System Operators aiming at ensuring the stability of the electrical grid by centralizing the management of flexible loads in industrial companies. A system dynamics model was set up to simulate the diffusion of flexible electrification technologies. Through scenario definition and sensitivity analysis, the influence of internal and external factors on diffusion was assessed. Results highlight the central role of energy costs and customer perception. The chosen combination of methods allowed the formulation of concrete recommendations for coordinated action, explicitly accounting for the various sources of uncertainty. We suggest testing this approach in further business model innovation contexts.de_CH
dc.language.isoende_CH
dc.publisherMDPIde_CH
dc.relation.ispartofSustainabilityde_CH
dc.rightshttp://creativecommons.org/licenses/by/4.0/de_CH
dc.subjectProsumer conceptsde_CH
dc.subjectTechnology changede_CH
dc.subjectBusiness strategiesde_CH
dc.subjectSystem dynamicsde_CH
dc.subjectDecentralizationde_CH
dc.subjectPhotovoltaicde_CH
dc.subjectDeep uncertaintyde_CH
dc.subjectLow-carbon transitionsde_CH
dc.subject.ddc333.79: Energiede_CH
dc.titleCombining business model innovation and model-based analysis to tackle the deep uncertainty of societal transitions : a case study on industrial electrification and power grid managementde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Nachhaltige Entwicklung (INE)de_CH
dc.identifier.doi10.3390/su13137264de_CH
dc.identifier.doi10.21256/zhaw-23533-
zhaw.funding.euNode_CH
zhaw.issue13de_CH
zhaw.originated.zhawYesde_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume13de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
zhaw.monitoring.costperiod2021de_CH
Appears in collections:Publikationen School of Engineering



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