Inputs of the manuscript: "On the Characterization and Evaluation of Residential On-Site E-Car-Sharing"
Description
This dataset describes the time-series used as inputs in the calculations within the manuscript: "On the Characterization and Evaluation of Residential On-Site E-Car-Sharing". We aim to facilitate the reproducibility of our calculations and optimization model. The data are generated with different tools, described in the excel-file itself. In the table "Electric Vehicles" the raw data of the electric vehicles used in the manuscript are given. This data gives information about the use of electric vehicles. The electric vehicles profiles have been generated with the Python toolbox emobpy (https://www.nature.com/articles/s41597-021-00932-9). In the table "Residential Loads" the raw data of the residential consumptions of the tenants used in the paper "On the Characterization and Evaluation of Residential On-Site E-Car-Sharing" are given. The residential consumption of a tenant is given by its electrical consumption in kWh in each timestep. These time-series have been generated with the LoadprofileGenerator software (https://www.loadprofilegenerator.de/). In the table "PV specific profile" the specific photovoltaic generation profile of a generic photovoltaik panel in Austria is given. The PV specific profile (in kw/kWp) is given by the specific power output of 1kWp photovoltaic panel in each timestep. The PV specific profile has been extracted from the Entsoe Transparency Platform (https://transparency.entsoe.eu/).
Files
Steps to reproduce
The electric vehicles profiles have been generated with the Python toolbox emobpy (https://www.nature.com/articles/s41597-021-00932-9). The residential loads profiles have been generated with the LoadprofileGenerator software (https://www.loadprofilegenerator.de/). The PV specific profile has been extracted from the Entsoe Transparency Platform (https://transparency.entsoe.eu/).