With electric powered heat pumps substituting for fossil-fueled alternatives, the temporal variability of their power utilization becomes more and more important to the electrical energy system. To simply consist of this variability in power system analyses, this papers presents the dataset comprising synthetic national time combination of both the heat need as well as the coefficient of overall performance (COP) of heat pumps. It covers 16 European countries, consists of the years 2008 to 2018, featuring an hourly resolution. Need profiles for room and water heating are computed by mixing gasoline regular weight user profiles with spatial temperature and wind speed reanalysis information along with population geodata. COP time collection for many different heat resources – air, floor, and groundwater – and different heat sinks – flooring home heating, radiators, and water home heating – are determined based upon COP and home heating curves utilizing reanalysis temperature data. The dataset, and also the scripts and enter guidelines, are openly available below an open resource permit in the Open Energy System Data platform.
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In view in the worldwide power transition, open up power information are more essential than ever1. This can include data on electric powered developing heat pumps, which constitute a cornerstone of sustainable energy scenarios2. Their electrical power consumption is naturally highly variable. On one side, there are fluctuations within the warmth demand to become fulfilled from the heat pumps. However, the COP in the heat pumps, which is described as the different ratio of their warmth era and electric power intake, modifications as time passes. This variability will be essential in the future electric power system equilibrium and has to be regarded as in related system and marketplace analyses.
Towards this history, this paper introduces the dataset comprising the first prepared-to-use national time combination of both the heat demand and the COP of creating heat pumps. The strengths in the dataset include:
Validity: Historic time series are presented, therefore not including uncertain assumptions on future advancements. The warmth need is computed using regular weight user profiles, which can be completely employed by German gas suppliers, and worldwide validated with dimensions from your United kingdom in addition to building data from the EU. The COP computation is parametrized on manufacturer information and additionally validated with field measurements.
Precision: The dataset considers particularities of various heat demands (room and water home heating), various warmth resources (air, ground, and groundwater), and different heat sinks (floor home heating, radiators, and water home heating).
Comprehensiveness: Time series cover a big geographic section of 16 chilly-temperate-climate EU nations (Fig. 1), which can be relevant for modelling the balance of the more and more incorporated Western electricity system. Furthermore, eleven many years (2008-2018) are provided to permit weather year level of sensitivity analyses.
The dataset is a participation towards the Open up Energy Program Information task and comes after the frictionless data principles6. Concentrating on the counsel of heat pumps, the goal would be to enhance effectiveness, visibility, and reproducibility of electrical energy market designs, which might be a part of more general incorporated nggazy energy system analyses. Furthermore, it may work as a valuable benchmark for alternative warmth demand and also heat water pump modelling approaches in the national degree. Existing limitations of the dataset are critically talked about within the Usage Information section.