With electric heat pumps replacing for fossil-powered options, the temporal variability of their energy usage becomes more and more important to the electric power system. To simply include this variability in power program analyses, this paper presents the dataset comprising artificial nationwide time series of both warmth need and also the coefficient of performance (COP) of heat pumps. It covers 16 European countries, consists of the years 2008 to 2018, and features a per hour quality. Need profiles for space and water heating are calculated by mixing gas standard weight user profiles with spatial heat and blowing wind speed reanalysis information along with population geodata. COP time collection for many different heat sources – atmosphere, ground, and groundwater – and other warmth sinks – floor heating, radiators, and water heating – are calculated according to COP and heating curves using reanalysis heat information. The dataset, along with the scripts and input parameters, are openly available below an open source permit around the Open Energy Program Information platform.

Agiba Heating
In view in the worldwide energy changeover, open up power information are more essential than ever1. This includes data on electric building heat pumps, which make up a foundation of lasting energy scenarios2. Their electrical power usage is naturally extremely variable. On one side, you will find variances inside the heat need to become fulfilled through the heat pumps. On the other hand, the COP from the heat pumps, which is defined as the different ratio of the warmth generation and electrical energy consumption, changes with time. This variability is going to be essential for the future electricity system balance and needs to be regarded as in associated program and market analyses.

Against this history, this paper introduces the dataset comprising the first ready-to-use nationwide time combination of both the heat demand and the COP of building heat pumps. The strong points of the dataset consist of:

Validity: Historic time collection are introduced, thus excluding unclear presumptions on future advancements. The warmth need is calculated utilizing standard load profiles, that are permanently used by German gasoline suppliers, and internationally validated with dimensions from the UK as well as developing information from the EU. The COP calculation is parametrized on producer data and additionally validated with area dimensions.

Accuracy: The dataset considers particularities of various heat demands (space and water heating), different warmth sources (air, ground, and groundwater), and other warmth sinks (floor heating, radiators, and water home heating).

Comprehensiveness: Time series cover a sizable geographical part of 16 chilly-warm-climate EU nations (Fig. 1), which can be relevant for modelling the balance in the increasingly more incorporated European electric power system. Moreover, eleven many years (2008-2018) are provided to enable weather calendar year level of sensitivity analyses.

The dataset is actually a contribution to the Open up Electrical power System Information task and follows the frictionless information principles6. Centering on the counsel of heat pumps, the target would be to enhance efficiency, transparency, and reproducibility of electric power marketplace models, which might be element of more general incorporated nggazy energy program analyses. Furthermore, it may function as a beneficial standard for option warmth demand as well as heat pump modelling approaches around the national degree. Existing limitations in the dataset are critically talked about in the Use Information section.

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