Abstract

The electrification of the mobility and heating sectors will significantly change the electrical behavior of households in the future. To investigate this behavior, it is important to include the heating and mobility sectors in load profile models. Existing models do not sufficiently consider these sectors. Therefore, this work aims to develop an integrated, consistent model for the electrical and thermal load of private households and their mobility behavior. The model needs to generate regionally distinct profiles depending on the building, household and resident type and should be valid for Germany. Based on a bottom-up approach, a model consisting of four components is developed. In an activity model based on a modified Markov chain process, persons are assigned to activities. The activities are then allocated to devices in the electrical and thermal models. A mobility model assigns distances to the journey activities. The results of the simulation to validate the model shows an average annual energy consumption per household of 2751 kWh and a shape of the average load profile, both in good agreement with the reference. Furthermore, the temporal distribution of the vehicles to the locations is in accordance with the reference but the annual mileage is slightly underestimated with 10,730 km.

Highlights

  • The energy transition is placing new demands on distribution grids in Germany

  • Since the focus of this paper is on the generation of the activities, the resulting electrical loads, and the corresponding mobility demand of the modeled agents, a detailed explanation of the thermal model is not shown in this paper

  • Concerning activities and electrical behavior, the city category only affects the duration of the commute

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Summary

Introduction

Many renewable energy systems, e.g., photovoltaic systems, have been installed and on the other hand, load has risen and is expected to rise further due to the electrification of the mobility and heating sectors [1,2]. Both developments are mainly taking place in the distribution grid and especially in low voltage grids [3]. Since these three demands are linked together via the user behavior, e.g., if the person of a single household is Energies 2020, 13, 3843; doi:10.3390/en13153843 www.mdpi.com/journal/energies

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