Agent-based model of short-term and long-term allocation of electric vehicle charging resources in Netlogo
doi:10.4121/50c0329b-e9e2-4b52-ba4d-51657311f1b6.v1
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doi: 10.4121/50c0329b-e9e2-4b52-ba4d-51657311f1b6
doi: 10.4121/50c0329b-e9e2-4b52-ba4d-51657311f1b6
Datacite citation style:
van der Koogh, Mylene; Chappin, Emile J.L.; Lukszo, Zofia; Heller, Renee (2024): Agent-based model of short-term and long-term allocation of electric vehicle charging resources in Netlogo. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/50c0329b-e9e2-4b52-ba4d-51657311f1b6.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
The REVCID (Residential Electric Vehicle Charging Infrastructure Development) model is an agent-based model, built in NetLogo 6.4.0. It’s goal is to identify strengths and weaknesses of various roll-out strategies, taking into account residential demand, growth projections, equity and grid limitations.
Parameters from a real case study were used to initialize the model (identify-neighbourhoods.nls) and parameters should be adjusted to the area of interest when using the model. The netlogo procedures can be found in different files:
- globals.nls contains the global variables (parameters) used in the model
- chargepoints-own.nls, transformators-own.nls and admins-own.nls is a list of the parameters within the chargepoint, transformer and policy-maker agents.
- identify-neighborhoods.nls contains the statistics as derived from external data (such as EVdata and CBS, see references) for each of the 9 selected case study neighborhoods
- set-parameters-grid.nls sets the charging speed of various charging modes
- determine-peak.nls adjusts the occupancy rates based on whether the hour of the day is a peak hour, and adds a random chance for higher occupancy
- grow-demand.nls sets the growth factor of the occupancy rate
- set-values-for-bs.nls turns the output into reporters that can be saved as csv or table output when running the simulations in Behaviorspace
- The nlogo file contains the entire model, interface and procedures. The nls files should be imported for the model to work.
history
- 2024-07-22 first online, published, posted
publisher
4TU.ResearchData
format
Netlogo (.nlogo, .nls)
associated peer-reviewed publication
A conceptual representation of short-term and long-term decision-making in the roll-out and exploitation of public EV charging infrastructure in Dutch neighborhoods
references
funding
- Future Charging (grant code RAAK.PRO03.128) [more info...] NWO
organizations
TU Delft, Faculty of Technology, Policy and Management, Department of Engineering, Systems and ServicesAmsterdam University of Applied Sciences, Faculty of Technology, Energy & Innovation
DATA
files (13)
- 9,902 bytesMD5:
c497a002911715b8d9365010fa333dbb
readme_netlogo.odt - 1,573 bytesMD5:
21b9267eec0a88bb3203c2b0ca4f0e67
admins-own.nls - 1,227 bytesMD5:
02f6b893dffa55401efeb8863bde3d63
chargepoints-own.nls - 4,156 bytesMD5:
b8aa8857d663ea34ec8b63d4ca9e3791
determine-peak.nls - 2,376 bytesMD5:
bd6edd05aa6b0baa6aa14ec54440476b
globals.nls - 5,297 bytesMD5:
44eb3f4656b51b225662dbb0065aafce
grow-demand.nls - 11,555 bytesMD5:
e55d26a3aa6f7981b6234afb5a0f05a6
identify-neighbourhood.nls - 5,859,681 bytesMD5:
42e8fca6b8235cc2cb32a05b0a5ad950
revcid_nieuw.html - 48,048 bytesMD5:
65cc05a562ba93eff08bcab71a0154c8
revcid_nieuw.nlogo - 635 bytesMD5:
6d219d61fce3736bc7b65a59a7dd1cf2
set-parameters-grid.nls - 11,021 bytesMD5:
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set-values-for-bs.nls - 1,979 bytesMD5:
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setup.nls - 1,779 bytesMD5:
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transformators-own.nls -
download all files (zip)
5,959,229 bytes unzipped