Research data supporting "The sun always shines somewhere. The energetic feasibility of a global grid with 100% renewable electricity"

Research data supporting the MPhil thesis by Frederick Ivens: "The sun always shines somewhere. The energetic feasibility of a global grid with 100% renewable electricity". EUROPEAN ELECTRICITY DEMAND TIME SERIES (2017) DATASET DESCRIPTION This dataset contains the aggregated electricity demand time series for Europe in 2017, measured in megawatts (MW). The data is presented with a timestamp in Coordinated Universal Time (UTC) and the corresponding electricity demand in MW. DATA SOURCE The original data was obtained from the European Network of Transmission System Operators for Electricity (ENTSO-E) and can be accessed at: https://www.entsoe.eu/data/power-stats/ Specifically, the data was extracted from the "MHLV_data-2015-2019.xlsx" file, which provides aggregated hourly electricity load data by country for the years 2015 to 2019. DATA PROCESSING The dataset was created using the following steps: - Importing Data: The original Excel file was imported into a Python environment using the pandas library. The data was checked for completeness to ensure no missing or corrupted entries. - Time Conversion: All timestamps in the dataset were converted to Coordinated Universal Time (UTC) to standardize the time reference across the dataset. - Aggregation: The data for the year 2017 was extracted from the dataset. The hourly electricity load for all European countries (defined as per as per Yu et al (2019), see below) was summed to generate an aggregated time series representing the total electricity demand across Europe. FILE FORMAT - CSV Format: The dataset is stored in a CSV file with two columns: - Timestamp (UTC): The time at which the electricity demand was recorded. - Electricity Demand (MW): The total aggregated electricity demand for Europe in megawatts. USAGE NOTES - Temporal Coverage: The dataset covers the entire year of 2017 with hourly granularity. - Geographical Coverage: The dataset aggregates data from multiple European countries, following the definition of Europe as per Yu et al (2019). REFERENCES J. Yu, K. Bakic, A. Kumar, A. Iliceto, L. Beleke Tabu, J. Ruaud, J. Fan, B. Cova, H. Li, D. Ernst, R. Fonteneau, M. Theku, G. Sanchis, M. Chamollet, M. Le Du, Y. Zhang, S. Chatzivasileiadis, D.-C. Radu, M. Berger, M. Stabile, F. Heymann, M. Dupré La Tour, M. Manuel de Villena Millan, and M. Ranjbar. Global electricity network - feasibility study. Technical report, CIGRE, 2019. URL https://orbi.ulieg e.be/handle/2268/239969. Accessed July 2024.