Electric Vehicle smart charging simulation and dispatch - code and configuration data

Description

This dataset includes Python code required to simulate the smart charging of an Electric Vehicle (EV) fleet, or similar electricity demand entities, under a variety of tariff / incentive structures and user assumptions. Four modules of code are accompanied by three configuration data files. Descriptions of additional, required input data tables are provided in the Readme. This code was used in preparation of the article, Daneshzand et al (2023), which includes reference to publicly accessible data sources for all required inputs.

Resource Type:	Software
Creators:	Daneshzand, Farzaneh ORCID: https://orcid.org/0000-0002-8434-7794
Contributors:	Potter, Ben ORCID: https://orcid.org/0000-0002-8815-907X, Smith, Stefan ORCID: https://orcid.org/0000-0002-5053-4639 and Coker, Phil
Rights-holders:	University of Reading
Data Publisher:	University of Reading
Publication Year:	2023
Data last accessed:	20 December 2024
DOI:	https://doi.org/10.17864/1947.000444
Metadata Record URL:	https://researchdata.reading.ac.uk/id/eprint/444
Organisational units:	Science > School of the Built Environment > Energy and Environmental Engineering group
Participating Organisations:	University of Reading
Keywords:	electric vehicle, smart charging
Rights:	GNU General Public License 3.0 Creative Commons Attribution 4.0 International
Data Availability:	OPEN
Additional details Additional details Project Name: CREDS (Centre for Research into Energy Demand Solutions) Funders: Engineering and Physical Sciences Research Council (EP/R035288/1) Resource Language: English Depositing User: Dr Phil Coker Date Deposited: 07 Feb 2023 12:45 Last Modified: 19 Dec 2024 00:29