Description

In this study, we demonstrate the contribution of IS-supported demand response (DR) programs to the development of a sustainable transport sector. Based on the energy informatics framework, we develop an IS artifact that can be used to apply DR programs for electric vehicle (EV) fleets. Furthermore, we quantify one DR program in economic terms by analyzing data gathered in an electric mobility project with a car-sharing provider that uses EVs. The findings indicate that fleet operators can expect significant cost savings when applying DR programs; energy procurement costs can be reduced significantly by adjusting the time of energy use. Applying DR programs therefore has the potential to make EV fleets economically sensible because the already existing operational cost advantage can be further increased. Consequently, DR for EVs can foster sustainable development, as higher profitability could promote the market penetration of eco-friendly vehicles.

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Applying Demand Response Programs for Electric Vehicle Fleets

In this study, we demonstrate the contribution of IS-supported demand response (DR) programs to the development of a sustainable transport sector. Based on the energy informatics framework, we develop an IS artifact that can be used to apply DR programs for electric vehicle (EV) fleets. Furthermore, we quantify one DR program in economic terms by analyzing data gathered in an electric mobility project with a car-sharing provider that uses EVs. The findings indicate that fleet operators can expect significant cost savings when applying DR programs; energy procurement costs can be reduced significantly by adjusting the time of energy use. Applying DR programs therefore has the potential to make EV fleets economically sensible because the already existing operational cost advantage can be further increased. Consequently, DR for EVs can foster sustainable development, as higher profitability could promote the market penetration of eco-friendly vehicles.