Start Date
14-12-2012 12:00 AM
Description
Electric mobility is on the rise, as many countries such as the United States of America, Germany, and China intend to bring one million electric cars onto their streets by 2020. This opens up perspectives on new business models, including aggregators for electric vehicles that enter ancillary services energy markets. These intermediaries are of particular interest to the IS discipline, since their market position links research on decision support, electronic markets and energy informatics. In this paper we present a research agenda to analyze IS-supported business models that cover the entire value chain of such an intermediary. We argue that IS can enhance decision making in the auctions for ancillary energy by improving forecasts of maximum energy prices. Additionally, IS facilitates electronic auctions and scheduling mechanisms that enable the intermediary to aggregate numerous electric vehicles.
Recommended Citation
Brandt, Tobias; Wagner, Sebastian; and Neumann, Dirk, "Road to 2020: IS-Supported Business Models for Electric Mobility and Electrical Energy Markets" (2012). ICIS 2012 Proceedings. 48.
https://aisel.aisnet.org/icis2012/proceedings/ResearchInProgress/48
Road to 2020: IS-Supported Business Models for Electric Mobility and Electrical Energy Markets
Electric mobility is on the rise, as many countries such as the United States of America, Germany, and China intend to bring one million electric cars onto their streets by 2020. This opens up perspectives on new business models, including aggregators for electric vehicles that enter ancillary services energy markets. These intermediaries are of particular interest to the IS discipline, since their market position links research on decision support, electronic markets and energy informatics. In this paper we present a research agenda to analyze IS-supported business models that cover the entire value chain of such an intermediary. We argue that IS can enhance decision making in the auctions for ancillary energy by improving forecasts of maximum energy prices. Additionally, IS facilitates electronic auctions and scheduling mechanisms that enable the intermediary to aggregate numerous electric vehicles.