Computational Model Library

Modeling Personal Carbon Trading with ABM (1.0.0)

A simulated approach for Personal Carbon Trading, for figuring out what effects it might have if it will be implemented in the real world. We use an artificial population with some empirical data from international literature and basic assumptions about heterogeneous energy demand. The model is not to be used as simulating the actual behavior of real populations, but a toy model to test the effects of differences in various factors such as number of agents, energy price, price of allowances, etc. It is important to adapt the model for specific countries as carbon footprint and energy demand determines the relative success of PCT.

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Release Notes

Copyright (c) 2018 Roman Seidl (idea, concept, implementation) and Felix Karg (implementation)
The model can be run on MSWindows 7 onwards and Linux systems.

Associated Publications

Kothe, A.‑K., Kuptel, A. & Seidl, R. (2021). Simulating Personal Carbon Trading (PCT) with an Agent-Based Model (ABM): Investigating Adaptive Reduction Rates and Path Dependence. Energies, 14(22), 7497. https://doi.org/10.3390/en14227497

This release is out-of-date. The latest version is 1.2.0

Modeling Personal Carbon Trading with ABM 1.0.0

Submitted by Roman Seidl Published Dec 07, 2018 Last modified Nov 11, 2021
personal carbon trading carbon footprint NetLogo

A simulated approach for Personal Carbon Trading, for figuring out what effects it might have if it will be implemented in the real world. We use an artificial population with some empirical data from international literature and basic assumptions about heterogeneous energy demand. The model is not to be used as simulating the actual behavior of real populations, but a toy model to test the effects of differences in various factors such as number of agents, energy price, price of allowances, etc. It is important to adapt the model for specific countries as carbon footprint and energy demand determines the relative success of PCT.

Release Notes

Copyright (c) 2018 Roman Seidl (idea, concept, implementation) and Felix Karg (implementation)
The model can be run on MSWindows 7 onwards and Linux systems.

Cite this Model

Roman Seidl (2018, December 07). “Modeling Personal Carbon Trading with ABM” (Version 1.0.0). CoMSES Computational Model Library. Retrieved from: https://www.comses.net/codebases/14ed682a-a0ed-4b55-8e86-ad99df4d2187/releases/1.0.0/

Associated Publication(s)

Kothe, A.‑K., Kuptel, A. & Seidl, R. (2021). Simulating Personal Carbon Trading (PCT) with an Agent-Based Model (ABM): Investigating Adaptive Reduction Rates and Path Dependence. Energies, 14(22), 7497. https://doi.org/10.3390/en14227497

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Contributors
Roman Seidl
DOI
No assigned DOI
Model Version
1.0.0
License
MIT
Programming Language
Software Framework
None
Operating System
Operating System Independent
Publish Date
Friday, December 07, 2018
Last Updated
Monday, September 23, 2024
Downloads 303
Peer Review
Unreviewed
Version Submitter First published Last modified Status
1.2.0 Roman Seidl Thu Jul 29 07:52:21 2021 Mon Sep 23 09:32:35 2024 Published
1.0.0 Roman Seidl Fri Dec 7 13:35:10 2018 Mon Sep 23 09:32:34 2024 Published

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