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Smart Mobility Meets Industry : Enhancing Energy Flexibility Potentials by Combining Industrial Production & Electric Vehicle Charging

Title data

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
Event: 29th America's Conference on Information Systems (AMCIS) , 10.-12.08.2023 , Panama City, Panama.
(Conference item: Conference , Speech )

Official URL: Volltext

Abstract in another language

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.

Further data

Item Type: Conference item (Speech)
Refereed: Yes
Keywords: Energy-flexible Factory; Vehicle-to-Factory; Electric Vehicle Charging; Mixed-Integer Linear Programming
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Branch Business and Information Systems Engineering of Fraunhofer FIT
Research Institutions > Affiliated Institutes > FIM Research Center for Information Management
Faculties
Faculties > Faculty of Law, Business and Economics
Result of work at the UBT: No
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 17 Jul 2023 08:50
Last Modified: 29 Oct 2024 06:10
URI: https://eref.uni-bayreuth.de/id/eprint/86090