Fraunhofer-Institut für System- und Innovationsforschung ISI

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  • Publication
    To charge or not to charge? Using Prospect Theory to model the tradeoffs of electric vehicle users
    ( 2024)
    Pelka, Sabine orcid-logo
    ;
    Bosch, Antonia
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    Chappin, Emile J.L.
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    Liesenhoff, Fabian
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    Kühnbach, Matthias orcid-logo
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    Vries, Laurens J. de
    Electric vehicle (EV) users who aim to become flexibility providers face a tradeoff between staying in control of charging and minimizing their electricity costs. The common practice is to charge immediately after plugging in and use more electricity than necessary. Changing this can increase the EV's flexibility potential and reduce electricity costs. Our extended electricity cost optimization model systematically examines how different changes to this practice influence electricity costs. Based on the Prospect Theory and substantiated by empirical data, it captures EV users' tradeoff between relinquishing control and reducing charging costs. Lowering the need to control charging results in disproportionally large savings in electricity costs. This finding incentivizes EV-users to relinquish even more control of charging. We analyzed changes to two charging settings that express the need for control. We found that changing only one setting offsets the other and reduces its positive effect on cost savings. Behavioral aspects, such as rebound effects and inertia that are widely documented in the literature, support this finding and underline the fit of our model extension to capture different charging behaviors. Our findings suggest that service providers should convince EV-users to relinquish control of both settings.
  • Publication
    Assessing the conditions for economic viability of dynamic electricity retail tariffs for households
    ( 2024)
    Stute, Judith orcid-logo
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    Pelka, Sabine orcid-logo
    ;
    Kühnbach, Matthias orcid-logo
    ;
    Klobasa, Marian orcid-logo
    The success of the energy transition relies on effectively utilizing flexibility in the power system. Dynamic tariffs are a highly discussed and promising innovation for incentivizing the use of residential flexibility. However, their full potential can only be realized if households achieve significant benefits. This paper specifically addresses this topic. We examine the leverage of household flexibility and the financial benefits of using dynamic tariffs, considering household heterogeneity, the costs of home energy management systems and smart meters, the impact of higher electricity prices and price spreads and the differences between types of prosumers. To comprehensively address this topic, we use the EVaTar-building model, a simulation framework that includes embedded optimization designed to simulate household electricity consumption patterns under the influence of a home energy management system or in response to dynamic tariffs. The study's main finding is that households can achieve significant cost savings and increase flexibility utilization by using a home energy management system and dynamic electricity tariffs, provided that electricity prices and price spreads reach higher levels. When comparing price levels in a low and high electricity price scenario, with an increase of the average electricity price by 15.2 €ct/kWh (67% higher than the average for the year 2019) and an increase of the price spread by 8.9 €ct/kWh (494% higher), the percentage of households achieving cost savings increases from 3.9% to 62.5%. Households with both an electric vehicle and a heat pump observed the highest cost benefits. Sufficiently high price incentives or sufficiently low costs for home energy management systems and metering point operation are required to enable households to mitigate rising electricity costs and ensure residential flexibility for the energy system through electric vehicles and heat pumps.