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Time series of useful energy consumption patterns for energy system modeling
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Journal Article
Time series of useful energy consumption patterns for energy system modeling
2021
Overview
The analysis of energy scenarios for future energy systems requires appropriate data. However, while more or less detailed data on energy production is often available, appropriate data on energy consumption is often scarce. In our JERICHO-E-usage dataset, we provide comprehensive data on useful energy consumption patterns for heat, cold, mechanical energy, information and communication, and light in high spatial and temporal resolution. Furthermore, we distinguish between residential, industrial, commerce, and mobility consumers. For our dataset, we aggregate bottom-up data and disaggregate top-down data both to the NUTS2 level. The NUTS2 level serves as an interface to validate our combined method approach and the calculations. We combine a multitude of data sources such as weather time series, standard load profiles, census data, movement data, and employment figures to increase the scope, validity, and reproducibility for energy system modeling. The focus of our JERICHO-E-usage dataset on useful energy consumption might be of particular interest to researchers who analyze energy scenarios where renewable electricity is largely substituted for fossil fuel (sector coupling).
Measurement(s)
space heat consumption patterns • hot water consumption patterns • space cooling consumption patterns • process cooling consumption patterns • mechanical energy consumption patterns • information and communication (ICT) consumption patterns • light consumption patterns • mileage profiles • process heat consumption patterns
Technology Type(s)
computational modeling technique
Factor Type(s)
final energy consumption pattern • final energy annual consumption • heating system dimensioning guidelines • census data • traffic census data • weather data • economic reports and statistics • technical reports and statistics
Sample Characteristic - Environment
spatiotemporal region • temperature of air • building • economy • industry • demography • energy
Machine-accessible metadata file describing the reported data:
https://doi.org/10.6084/m9.figshare.14039456
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
Subject
