With electric powered heat pumps substituting for fossil-powered options, the temporal variability of their energy usage will become more and more important to the electrical energy system. To simply include this variability in energy program analyses, this papers presents the dataset comprising artificial national time series of both warmth need and also the coefficient of overall performance (COP) of heat pumps. It addresses 16 Countries in europe, consists of time 2008 to 2018, and features a per hour resolution. Need profiles for space and water home heating are calculated by combining gas regular weight profiles with spatial heat and blowing wind velocity reanalysis information along with populace geodata. COP time series for different warmth resources – atmosphere, ground, and groundwater – and other heat sinks – floor home heating, radiators, and water heating – are determined based upon COP and home heating curves utilizing reanalysis temperature information. The dataset, along with the scripts and input guidelines, are openly available below an open resource permit on the Open Energy Program Information system.
Heat Pump Installation
In view in the worldwide power transition, open up power data are more essential than ever1. This can include information on electric powered developing heat pumps, which constitute a foundation of sustainable energy scenarios2. Their energy consumption is of course highly variable. On the one hand, you can find variances inside the heat demand to get fulfilled from the heat pumps. However, the COP from the heat pumps, which is described as the different ratio of their warmth era and electricity utilization, modifications as time passes. This variability will likely be important for future years electricity system equilibrium and must be regarded as in related program and market analyses.
Against this background, this paper introduces the dataset comprising the very first ready-to-use nationwide time series of both heat need as well as the COP of creating heat pumps. The strong points from the dataset include:
Validity: Historic time collection are presented, thus not including unclear assumptions on future developments. The warmth demand is calculated utilizing regular weight profiles, which can be permanently employed by German gas providers, and worldwide validated with dimensions through the United kingdom as well as building information from your EU. The COP computation is parametrized on producer information and also validated with area dimensions.
Accuracy: The dataset considers particularities of different heat needs (space and water home heating), different warmth sources (atmosphere, floor, and groundwater), and different warmth sinks (flooring heating, radiators, and water home heating).
Comprehensiveness: Enough time collection cover a large geographic part of 16 chilly-temperate-environment EU countries (Fig. 1), which is relevant for modelling the total amount of the increasingly more incorporated European electric power system. Furthermore, eleven many years (2008-2018) are included to allow weather conditions calendar year level of sensitivity analyses.
The dataset is really a contribution for the Open Electrical power Program Data project and comes after the frictionless data principles6. Centering on the counsel of heat pumps, the target is always to enhance effectiveness, visibility, and reproducibility of electric power market designs, which might be part of more basic incorporated nggazy power program analyses. Furthermore, it might work as a beneficial standard for alternative heat need and heat pump modelling approaches on the nationwide degree. Current limitations from the dataset are critically talked about within the Usage Information section.