Titelangaben
Bayer, David Stefan ; Bollenbach, Jessica ; Lersch, Jonathan ; Rusche, Simon ; Weibelzahl, Martin:
Smart Mobility Meets Industry : Enhancing Energy Flexibility Potentials by Combining Industrial Production & Electric Vehicle Charging.
2023
Veranstaltung: 29th America's Conference on Information Systems (AMCIS)
, 10.-12.08.2023
, Panama City, Panama.
(Veranstaltungsbeitrag: Kongress/Konferenz/Symposium/Tagung
,
Vortrag
)
Abstract
The increasing share of renewable energy sources poses the challenge of volatile energy generation, requiring demand side management (DSM) to manage such volatility. In view of the high industrial electricity demand and the increasing charging demand of electric vehicles (EVs), both industry and mobility represent relevant areas of DSM. However, the combination of EV charging and energy-intensive industrial processes still contains untapped synergy potentials. Thus, we present a mixed-integer linear program and quantify the economic and ecologic potential of combining energy flexibilities of industry and electric mobility within a case study. For our evaluation, we compare the results of our model to a benchmark case that separately manages industry and EV flexibilities. Our findings suggest that implementing our approach would yield both economic and ecological benefits, resulting in a reduction in anticipated costs and emissions, as well as a decrease in associated uncertainty.
Weitere Angaben
Publikationsform: | Veranstaltungsbeitrag (Vortrag) |
---|---|
Begutachteter Beitrag: | Ja |
Keywords: | Energy-flexible Factory; Vehicle-to-Factory; Electric Vehicle Charging; Mixed-Integer Linear Programming |
Institutionen der Universität: | Fakultäten > Rechts- und Wirtschaftswissenschaftliche Fakultät > Fachgruppe Betriebswirtschaftslehre Forschungseinrichtungen Forschungseinrichtungen > Institute in Verbindung mit der Universität Forschungseinrichtungen > Institute in Verbindung mit der Universität > Institutsteil Wirtschaftsinformatik des Fraunhofer FIT Forschungseinrichtungen > Institute in Verbindung mit der Universität > FIM Forschungsinstitut für Informationsmanagement |
Titel an der UBT entstanden: | Nein |
Themengebiete aus DDC: | 000 Informatik,Informationswissenschaft, allgemeine Werke > 004 Informatik 300 Sozialwissenschaften > 330 Wirtschaft |
Eingestellt am: | 17 Jul 2023 08:50 |
Letzte Änderung: | 17 Jul 2023 08:50 |
URI: | https://eref.uni-bayreuth.de/id/eprint/86090 |