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With electric heat pumps replacing for fossil-fueled options, the temporal variability of their power consumption will become increasingly important to the electrical energy program. To easily consist of this variability in energy system analyses, this paper introduces the dataset comprising synthetic nationwide time combination of the warmth demand and also the coefficient of performance (COP) of heat pumps. It covers 16 Countries in europe, consists of time 2008 to 2018, featuring an hourly quality. Need user profiles for room and water home heating are calculated by combining gas standard load profiles with spatial temperature and blowing wind velocity reanalysis information as well as populace geodata. COP time collection for many different warmth resources – air, ground, and groundwater – and various warmth sinks – floor heating, radiators, and water heating – are calculated based upon COP and heating shape using reanalysis heat information. The dataset, along with the scripts and enter parameters, are openly readily available under a wide open source permit in the Open up Power Program Information system.

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In view of the global energy changeover, open up power information are more essential than ever1. This consists of data on electric powered building heat pumps, which constitute a cornerstone of lasting energy scenarios2. Their power consumption is of course highly variable. On the one hand, there are variances inside the heat demand to become fulfilled through the heat pumps. Alternatively, the COP from the heat pumps, which is defined as the varying ratio with their heat generation and electrical energy utilization, modifications over time. This variability will be important for the future electrical energy program balance and has to be regarded as in associated system and marketplace analyses.

Towards this history, this papers introduces the dataset comprising the first ready-to-use national time series of the heating demand and the COP of building heat pumps. The strong points from the dataset consist of:

Credibility: Historical time series are introduced, therefore excluding uncertain assumptions on future developments. The heat demand is computed using regular load profiles, that are permanently utilized by German gasoline suppliers, and internationally validated with dimensions from the UK along with building data from your EU. The COP computation is parametrized on producer information and additionally validated with area dimensions.

Precision: The dataset takes into account particularities of numerous warmth demands (space and water home heating), different heat resources (air, ground, and groundwater), and different warmth sinks (flooring home heating, radiators, and water home heating).

Comprehensiveness: Time collection cover a big geographical section of 16 chilly-warm-climate EU nations (Fig. 1), that is appropriate for modelling the balance of the more and more integrated European electric power system. Furthermore, 11 years (2008-2018) are included to allow weather conditions calendar year level of sensitivity analyses.

The dataset is a contribution towards the Open Power System Data task and follows the frictionless information principles6. Concentrating on the representation of heat pumps, the aim is to enhance efficiency, visibility, and reproducibility of electricity market designs, which might be a part of much more general integrated nggazy energy program analyses. Furthermore, it could function as a valuable benchmark for option warmth demand and also heat water pump modelling methods on the national level. Current limitations in the dataset are critically discussed in the Use Information section.

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