With electric heat pumps replacing for fossil-powered options, the temporal variability of their energy utilization will become more and more important to the electrical energy program. To simply consist of this variability in power program analyses, this paper introduces the dataset comprising artificial nationwide time combination of both the warmth need as well as the coefficient of performance (COP) of heat pumps. It addresses 16 European countries, consists of the years 2008 to 2018, featuring a per hour quality. Demand user profiles for room and water home heating are computed by mixing gasoline standard load profiles with spatial temperature and blowing wind speed reanalysis data as well as population geodata. COP time collection for many different warmth resources – air, floor, and groundwater – and different warmth sinks – floor heating, radiators, and water home heating – are calculated based upon COP and home heating curves using reanalysis temperature data. The dataset, as well as the scripts and enter guidelines, are openly available under a wide open source license on the Open Power System Data platform.
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In view in the worldwide power changeover, open up energy data tend to be more essential than ever1. This includes data on electric powered building heat pumps, which constitute a foundation of sustainable energy scenarios2. Their electrical power intake is naturally extremely adjustable. On the one hand, you can find variances inside the heat demand to get fulfilled through the heat pumps. Alternatively, the COP of the heat pumps, which is identified as the different proportion of their warmth generation and electric power utilization, changes with time. This variability will be important for the future electrical energy program balance and needs to be regarded as in associated program and market analyses.
Towards this history, this paper presents the dataset comprising the first ready-to-use national time series of the heat need as well as the COP of building heat pumps. The strengths from the dataset include:
Credibility: Historic time series are presented, therefore excluding uncertain presumptions on future developments. The warmth need is computed utilizing standard load profiles, that are completely utilized by German gasoline suppliers, and worldwide validated with dimensions through the UK as well as developing data from your EU. The COP computation is parametrized on manufacturer information and also validated with field measurements.
Precision: The dataset takes into account particularities of different warmth demands (space and water home heating), various heat sources (atmosphere, ground, and groundwater), and various heat sinks (floor heating, radiators, and water home heating).
Comprehensiveness: Enough time collection cover a sizable geographical area of 16 cold-warm-climate EU nations (Fig. 1), that is appropriate for modelling the total amount in the increasingly more incorporated European electricity program. Moreover, 11 years (2008-2018) are provided to permit weather year level of sensitivity analyses.
The dataset is really a contribution for the Open Energy Program Information task and comes after the frictionless information principles6. Focusing on the counsel of heat pumps, the aim is always to enhance effectiveness, visibility, and reproducibility of electric power market models, which might be a part of more basic integrated nggazy power system analyses. Furthermore, it could serve as a beneficial benchmark for alternative warmth need and also heat pump modelling approaches around the national level. Current restrictions of the dataset are critically discussed inside the Usage Information area.