欧洲私人家庭的实时温度调整天然气储蓄:2022年德国天然气市场研究

Fabian Kächele, O. Grothe
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摘要

天然气是欧洲的主要能源之一,欧洲严重依赖从外国进口。由于2022年的战争,从主要能源供应国俄罗斯的进口大幅减少,欧洲当局呼吁节约。因此,德国联邦网络局发布了一份温度调整后的参考消耗量,以衡量德国的这些节约。然而,温度调整只能通过查找以前温度相似的日子并将其消耗量作为参考值来完成。在本文中,我们以德国为例,调查了2022年私人家庭的天然气储蓄。我们研究了几种替代滤波和一种机器学习方法来计算温度调整后的参考消耗。除了单纯的温度信息外,我们建议利用源自电气工程的PID控制器的启发,利用积分和导数元素进一步丰富数据。我们开发的自适应温度调节框架在文献中是新的,可以很容易地应用于其他用例,例如单个建筑物的消耗,或者转移到除气体消耗以外的变量。
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Realtime temperature-adjusted natural gas savings of European private households: A study on the German gas market in 2022
Natural gas is one of Europe’s main sources of energy and Europe is heavily dependent on imports from foreign countries. Since the imports from the main energy supplier Russia decreased massively due to the war in 2022, European authorities called for savings. Therefore the German Bundesnetzagentur publishes a temperature-adjusted reference consumption to measure these savings in Germany. However, the temperature adjustment is only done by looking for previous days with a similar temperature and using their consumption as a reference value. In this paper, we investigate the natural gas savings of private households for the example of Germany in 2022. We study several alternative filtering and a machine-learning approach to calculate the temperature-adjusted reference consumption. Besides the pure temperature information, we propose to further enrich the data with integral and derivative elements inspired by PID controllers originally stemming from electrical engineering. Our developed framework adaptively adjusting for temperature is new in the literature and may be easily applied to other use cases, such as individual buildings’ consumption, or transferred to variables other than gas consumption.
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