Energy-flexible Factory; Vehicle-to-Factory; Electric Vehicle Charging; Mixed-Integer Linear Programming
Abstract :
[en] 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.
Research center :
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > FINATRAX - Digital Financial Services and Cross-organizational Digital Transformations
Disciplines :
Management information systems Computer science
Author, co-author :
Bayer, David; Technical University of Munich
Bollenbach, Jessica; FIM Research Center
Lersch, Jonathan; FIM Research Center
Rusche, Simon; FIM Research Center
WEIBELZAHL, Martin ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > FINATRAX ; FIM Research Center
External co-authors :
yes
Language :
English
Title :
Smart Mobility Meets Industry: Enhancing Energy Flexibility Potentials by Combining Industrial Production & Electric Vehicle Charging
Publication date :
2023
Event name :
Twenty-ninth Americas Conference on Information Systems