With electric heat pumps replacing for fossil-fueled options, the temporal variability of the energy utilization will become increasingly essential to the electricity program. To easily include this variability in power program analyses, this paper presents the dataset comprising synthetic national time series of both heat demand as well as the coefficient of overall performance (COP) of heat pumps. It covers 16 Countries in europe, includes the years 2008 to 2018, and has a per hour quality. Demand profiles for space and water home heating are computed by mixing gas standard load profiles with spatial heat and wind velocity reanalysis information in addition to population geodata. COP time collection for many different heat sources – air, floor, and groundwater – and other warmth sinks – floor heating, radiators, and water heating – are calculated according to COP and home heating curves utilizing reanalysis temperature information. The dataset, and also the scripts and input parameters, are openly readily available below an open source permit around the Open Energy Program Information platform.

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In view from the worldwide energy transition, open up energy information are more essential than ever1. This includes data on electric powered developing heat pumps, which constitute a cornerstone of lasting power scenarios2. Their electrical power intake is naturally highly adjustable. On one side, there are fluctuations inside the heat need to get satisfied by the heat pumps. On the other hand, the COP from the heat pumps, which is defined as the different ratio with their heat generation and electrical energy consumption, changes over time. This variability will likely be important in the future electrical energy system balance and needs to be regarded as in associated program and marketplace analyses.

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

Validity: Historical time series are introduced, therefore not including uncertain assumptions on long term advancements. The temperature demand is calculated using regular weight profiles, that are completely used by German gasoline providers, and internationally validated with dimensions from your UK as well as developing data from your EU. The COP computation is parametrized on producer data not to mention validated with field dimensions.

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

Comprehensiveness: Time collection include a large geographic part of 16 cold-temperate-environment EU countries (Fig. 1), that is appropriate for modelling the total amount of the increasingly more integrated European electric power system. Moreover, 11 many years (2008-2018) are included to enable weather conditions year level of sensitivity analyses.

The dataset is really a contribution towards the Open Electrical power System Data project and follows the frictionless data principles6. Concentrating on the counsel of heat pumps, the target is always to improve effectiveness, transparency, and reproducibility of electrical energy market designs, which can be part of much more general incorporated nggazy power system analyses. Furthermore, it might function as a beneficial standard for option heat demand as well as heat water pump modelling approaches in the nationwide level. Existing restrictions of the dataset are critically discussed inside the Usage Notes section.

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