INOLA-Veröffentlichung zu regionalen Speichersystemen

INOLA-Veröffentlichung zu regionalen Speichersystemen

Die INOLA-MitarbeiterInnen des Lehrstuhls für  Geographie und geographische Fernerkundung haben Ergebnisse des INOLA-Energiemodells in Hinblick auf häusliche Batteriesysteme in der Zeitschrift "Applied Energy" veröffentlicht. Dabei betrachten sie unter anderem die Effekte verschiedener Ladestrategien auf Netze und Eigenverbrauch. Der Artikel ist öffentlich zugänglich.

Reimuth, A., Prasch, M., Locherer, V., Danner, M., & Mauser, W. (2019). Influence of different battery charging strategies on residual grid power flows and self-consumption rates at regional scale. Applied energy, 238, 572-581.https://doi.org/10.1016/j.apenergy.2019.01.112

Abstract

Battery storage systems can help to integrate excess Photovoltaic (PV) energy into the local energy systems but also increase the request for higher self-consumption rates of the households. This study uses a spatially resolved approach with hourly time steps to analyze the influence of batteries on the domestic residual loads on a regional scale. A domestic energy component is developed consisting of a PV-system model, the demand component, and a battery storage device. The study area is located in the south of Bavaria and 4906 households with PV-systems between 3 and 10 kWp power were selected assuming a battery capacity of 6.2 kWh in average. Three charging strategies for domestic battery storage systems are assessed: (1) Maximization of self-consumption, (2) Fixed feed-in limit of 70% of the PV-peak power, and (3) Daily dynamic feed-in limit based on ideal forecasts. The best result is obtained through the third strategy with a self-consumption of 78.5% on average and the highest reduction of the grid flows by 20% by damping grid excesses. The influence of the charging strategy rises with increasing size of PV- and battery storage systems and therefore residual loads. Regional variations are further caused by the meteorological conditions, different PV- and battery sizes and parameters and demand profiles on municipal scale. Consequently, a sufficient sample size with different set-ups is recommended for a full evaluation of battery charging strategies.