How to deal with the energy crisis
How to deal with the energy crisis
For TU Darmstadt, saving energy is of utmost importance, particularly in order to further climate protection and sustainable development. The worsening energy crisis caused by the war in Europe impacts on universities as well. TU Darmstadt has intensified its energy-saving measures and has set up a strategic emergency plan under the direction of the Executive Board in collaboration with the University Administration (zV) and the Energy Management unit.
Current energy data of TU Darmstadt – we are on the right path
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![Monatlicher Wärmeverbrauch im Vergleich der zwei Winterperioden 2021/22 und 2022/23. Zielsetzung der Landesregierung ist es, eine Energieeinsparung von bis zu 15 Prozent in der aktuellen Heizperiode gegenüber der Heizperiode 2021/2022 zu erreichen.]()
The predicted weather-dependent heat consumption is determined using a regression model. The regression model is based on daily heat consumption data and weather conditions for the last two winter periods (Oct – Apr 2020/21 and 2021/22). The model forecasts building heat demand based on current weather conditions (outdoor temperature, solar radiation, day of the week). The forecast uncertainty for the temperature-adjusted values is +/- 9%. -
![Zielsetzung der Landesregierung ist es, eine Stromverbrauchseinsparung in Höhe von 5 Prozent in deraktuellen Heizperiode gegenüber der Heizperiode 2021/2022 zu erreichen. Fehlende historische Daten wurden anhand der Verbrauchscharakteristik vor und nach der Datenlücke (18. Februar 2022 - 28. Februar 2022) abgeschätzt.]()
The state government's goal is to achieve electricity consumption savings of 5 percent in the current heating period compared to the 2021/2022 heating period. Missing historical data was estimated based on consumption characteristics before and after the data gap (18 February 2022 – 28 February 2022).
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Daily heat consumption (raw data)
Daily consumption of electrical energy (raw data)
The graphs show the daily aggregated total consumption of electrical energy and heat at TU Darmstadt.
The weather-dependent heat consumption expected without savings measures is calculated using a regression model based on consumption in winters 20/21 and 21/22. The uncertainty bars result from the inaccuracy of the regression model.
Daily aggregated, unprocessed raw data are shown. Therefore, there may be slight deviations from the monthly aggregated consumption data shown above.
The graphs are daily and are updated every morning around 6 am. We thank the EnEff Campus team for providing the data.
