Open Access

Ein validierter Wetterdatensatz der Hochschule Offenburg bietet eine solide Datengrundlage für die numerische Gebäude- und Anlagensimulation und zur energiewirtschaftlichen Bewertung von Energiesystemen. Mehrjährige Simulationsläufe bieten in Ergänzung zur Bewertung mit den durchschnittlichen und extremen Testreferenzjahren die Möglichkeit, ein sehr breites und aktuelles Spektrum von Wetterbedingungen abzubilden. Aus der Gegenüberstellung dieses 25-jährigen Datensatzes mit den aktuellen Testreferenzjahren (Bezugszeitraum 1995 bis 2012) bzw. den Wetterdaten aus der aktuellen DIN 4710 (Bezugszeitraum 1980 bis 1994) wird deutlich, dass sich die wesentlichen energiemeteorologischen Größen in den letzten beiden Dekaden deutlich geändert haben. So sind mehr Sommer- und Hitzetage, weniger Eis- und Frosttage, mehr Hitzewellen und eine höhere Solarstrahlung zu beobachten. Dies hat Auswirkungen auf die Planung von Gebäuden und die Dimensionierung gebäude- und energietechnischer Anlagen, wie ein Vergleich mit den Annahmen in gängigen Normen bzw. Auslegungsrichtlinien zeigt.

The invention relates to a method and a device for determining the state of charge (SOC) of a rechargeable battery (106) of a specified battery type, or a parameter physically related thereto, in particular a remaining charge amount Q contained in the battery, wherein the method operates by means of a voltage-controlled battery model (102), which is parameterized for the battery (106) in question or a corresponding battery type. It is merely necessary to measure the battery voltage Umeas and to provide it to the battery model (102) as an input variable. The invention further relates to a method and a device for determining the state of health (SOH) of a battery (102), wherein the battery model (102), which is also used to determine the SOC, provides a modelled battery current Imod. Modelled charge amounts during charging and discharging phases of the battery (106) can be determined therefrom and compared with measured charge amounts, which are determined from the measured battery current Imeas. Because the battery model (102) does not age, the SOH of the battery can thereby be determined.

The invention relates to a method and to a device for determining the state of charge (SOC) of a rechargeable battery (106) of a specified battery type or a parameter physically related thereto, in particular a remaining charge amount Q contained in the battery, the method operating by means of a voltage-controlled battery model (102), which is parameterized for the battery (106) in question or a corresponding battery type. It is merely necessary to measure the battery voltage U

Heat pumps play a crucial role in decarbonizing buildings, yet conventional control strategies limit their grid-supportive potential. Model Predictive Control (MPC) offers a promising alternative to optimize energy costs and grid performance, but real-world implementations remain scarce. This study demonstrates the feasibility of MPC in a low-energy, non-residential building by integrating a controller based on electricity market prices. The system, deployed on a Raspberry Pi and integrated into the building automation system, utilizes weather forecasts and a grey-box model for load prediction. A key challenge is the lack of standardized interfaces for heat pump controls, requiring custom solutions. A 7-day performance analysis compares MPC with conventional control, focusing on economic efficiency and grid support. MPC shifts heat pump operation to periods of lower electricity prices, increasing storage temperatures and reducing the average COP from 7.6 to 6.0. Despite this, energy costs decrease by 40%, lowering the electricity procurement price from 0.36 EUR to 0.12 EUR/kWh, while the Grid Support Coefficient improves by 13%. These results confirm that MPC can enhance heat pump operation with simple component models, provided the system allows flexibility and demand is predictable.