Model Factsheet

General Information

Name	Alternative Automobiles and Diffusion and Infrastructure
Acronym	ALADIN
Methodical Focus	vehicle market diffusion , agent-based modeling
Institution(s)	Fraunhofer Institute for Systems and Innovation Research (ISI)
Author(s) (institution, working field, active time period)	Till Gnann, Daniel Speth
Current contact person	Daniel Speth
Contact (e-mail)	daniel.speth@isi.fraunhofer.de
Website	https://www.aladin-model.eu/aladin-en
Logo
Primary Purpose	The ALADIN model is an agent-based simulation of alternative fuel vehicles purchase decision. It uses driving data from several thousand individual vehicles. The core of the model is to calculate the total cost of ownership for different drivetrains (e. g. gasoline, diesel, BEV, PHEV for passenger cars) based on large data sets for individual user driving behavior and to determine the utility maximizing driving option under various restrictions including infrastructure or the limited model availability of new drivetrain technologies. Thereof, the share of each drivetrain technology is calculated, reduced due to infrastructure and limited vehicle availability and then considered as market share for the year under consideration. The ALADIN model is available for market diffusion of alternative fuel vehicles in the passenger car and light- to heavy-duty vehicle market both for Germany and Europe. We also offer a solution for overseas reagions (US, China and India) and on German NUTS 3 level for passenger cars, heavy-duty vehicles and inland navigation.
Primary Outputs	Primary outputs are vehicle registrations, vehicle stocks and annual energy demand. Outputs can be broken down by vehicle size, drivetrain and regional distribution.
Support / Community / Forum
Framework
Link to User Documentation	-
Link to Developer/Code Documentation	-
Documentation quality	expandable
Source of funding	-
Number of developers	less than 10
Number of users	-

Openness

Open Source
Planned to open up in the future
Costs	-

Software

Modelling software	Python 3
Internal data processing software
External optimizer
Additional software
GUI

Coverage

Modeled energy sectors (final energy)	-
Modeled demand sectors	Transport
Modeled technologies: components for power generation or conversion	Renewables - Conventional -
Modeled technologies: components for transfer, infrastructure or grid	Electricity - Gas - Heat -
Properties electrical grid	-
Modeled technologies: components for storage	-
User behaviour and demand side management	ALADIN is an agent-based model and takes user profiles of several thousand individual vehicle drivers into account. The market diffusion in ALADIN is based on user decisions, considering individual driving behavior, willingsness-to-pay and brand loyalty.
Changes in efficiency
Market models	-
Geographical coverage
Geographic (spatial) resolution	national states, NUTS 3
Time resolution	annual
Comment on geographic (spatial) resolution	The core model is developed for Germany, but there is an additional moduls for all European Countries, which works with a simplified approach. We also offer a solution for overseas reagions (US, China and India). In Germany, results can be broken down to NUTS3 level.
Observation period	-
Additional dimensions (sector)	economic

Mathematical Properties

Model class (optimisation)	-
Model class (simulation)	Agent-based
Other
Short description of mathematical model class
Mathematical objective	CO2, costs
Approach to uncertainty	-
Suited for many scenarios / monte-carlo
typical computation time	less than a day
Typical computation hardware	standard home computer (e.g. 16 GB RAM)
Technical data anchored in the model	-

Model Integration

Interfaces
Model file format	.py
Input data file format	.csv
Output data file format	.csv
Integration with other models
Integration of other models

References

Citation reference	Gnann, T. (2015): Market diffusion of plug-in electric vehicles and their charging infrastructure.
Citation DOI	10.5281/zenodo.4026722; 10.1016/j.esr.2020.100568; 10.1080/15568318.2018.1489016; 10.1016/j.enpol.2019.03.042; 10.1016/j.jpowsour.2018.04.029; 10.1016/j.trd.2015.04.015; 10.1016/j.tra.2015.04.001; 10.1016/j.ecolecon.2014.09.021;
Reference Studies/Models	Langfristszenarien 3 (https://www.langfristszenarien.de); Full list can be found here: https://www.aladin-model.eu/aladin-en/content/projects-references.php
Example research questions	How will alternative drivetrains for cars and trucks spread in the future? What will be the resulting energy demand? How can the market diffusion of alternative drivetrains be influenced, e.g. by policy measures?
Model usage	-
Model validation	cross-checked with other models, checked with measurements (measured data)
Example research questions	How will alternative drivetrains for cars and trucks spread in the future? What will be the resulting energy demand? How can the market diffusion of alternative drivetrains be influenced, e.g. by policy measures?
further properties
Model specific properties	-

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