With electric powered heat pumps replacing for fossil-fueled alternatives, the temporal variability of the electrical power utilization becomes more and more essential to the electricity system. To easily include this variability in power program analyses, this paper introduces the dataset comprising synthetic nationwide time series of the warmth demand and the coefficient of overall performance (COP) of heat pumps. It covers 16 European countries, consists of the years 2008 to 2018, and features an hourly resolution. Demand profiles for room and water home heating are computed by mixing gas regular weight user profiles with spatial heat and wind speed reanalysis data in addition to populace geodata. COP time series for various warmth sources – air, floor, and groundwater – and various heat sinks – floor home heating, radiators, and water home heating – are calculated based upon COP and heating curves utilizing reanalysis temperature information. The dataset, along with the scripts and enter parameters, are publicly available under a wide open resource permit around the Open Power System Information system.

Heat Pump Installation
In view in the global energy transition, open energy information are more essential than ever1. This consists of data on electric powered building heat pumps, which make up a foundation of lasting energy scenarios2. Their power utilization is of course highly adjustable. On one side, you can find fluctuations inside the heat need to become satisfied through the heat pumps. On the other hand, the COP in the heat pumps, which is identified as the varying ratio of their warmth era and electric power usage, modifications with time. This variability is going to be important for the future electricity system balance and needs to be regarded as in associated system and market analyses.

Against this background, this paper presents the dataset comprising the initial prepared-to-use national time number of the heat need and the COP of creating heat pumps. The strong points of the dataset include:

Credibility: Historic time series are presented, therefore not including unclear presumptions on future advancements. The heat need is computed using standard weight user profiles, that are permanently utilized by German gas providers, and internationally validated with measurements through the United kingdom in addition to developing data from your EU. The COP computation is parametrized on manufacturer information and additionally validated with area dimensions.

Accuracy: The dataset considers particularities of various heat needs (room and water home heating), different warmth sources (atmosphere, ground, and groundwater), and other heat sinks (flooring heating, radiators, and water home heating).

Comprehensiveness: Time collection cover a large geographical area of 16 chilly-warm-environment EU nations (Fig. 1), that is appropriate for modelling the balance in the more and more incorporated European electricity system. Moreover, eleven years (2008-2018) are provided to enable weather calendar year level of sensitivity analyses.

The dataset is a participation to the Open up Power Program Data task and comes after the frictionless data principles6. Focusing on the representation of heat pumps, the aim is to improve efficiency, visibility, and reproducibility of electrical energy market models, which can be part of more basic integrated nggazy power system analyses. Furthermore, it could serve as a valuable benchmark for option heat need and heat water pump modelling approaches around the national level. Current limitations from the dataset are critically discussed inside the Use Information section.

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