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DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/18947
Dataset. 2019

BUILDINGS ENERGY DEMAND

  • Cañigueral Maurici, Marc
  • Meléndez i Frigola, Joaquim
  • Torrent-Fontbona, Ferran
Dades primàries associades a una comunicació a congrés presentada a CIRED 2019. 25th International Conference on Electricity Distribution: Madrid, 3-6 June 2019, The files are in CSV, no special software required to interpret the data, The dataset includes two files: one called 'demand', with the active power demand from 10 different households, in Watts units and hourly resolution, and another called 'generation', with the solar generation considering the current installed photovoltaic power in each household, in Watts units and hourly resolution. The total peak power installed is 30.5 kWp. The demand dataset was provided by the DSO (Distribution System Operator). No collection/generation work done by the researchers. The solar generation profile was download from PVGIS portal, considering the location and the installed peak power of each household. The study multiplies the data profiles (demand and generation) from the Dataset by different factors according to the scenario. Not other preprocessing than scaling the data. Energy consumption profiles from file 'demand.csv' correspond to the same households than the energy production profiles from file 'generation.csv'. For example, 'C1' column in 'demand.csv' and 'G1' column in 'generation.csv' correspond to consumption and generation profiles from Household 1, respectively. In the study the authors talk about two scenarios. The Scenario 1 considers the current demand profiles, from file 'demand.csv'. The Scenario 2, considers a future high electrification of households final demand, so the demand profiles in file 'demand.csv' are scaled by a factor of 14. In both scenarios, all generation profiles in 'generation.csv' are scaled by a factor depending on the total installed photovoltaic power, considering than the original generation profiles correspond to a total peak power of 30.5 kWp. The dataset contains the data collected from 0:00 am to 11:00 pm on July 1, 2018

Proyecto: EC/H2020/773715
DOI: http://hdl.handle.net/10256/18947
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/18947
HANDLE: http://hdl.handle.net/10256/18947
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/18947
PMID: http://hdl.handle.net/10256/18947
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/18947
Ver en: http://hdl.handle.net/10256/18947
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/18947

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