Computational Model Library

Circular Business Model experimentation: local biodigestion network (1.0.0)

The purpose of the model is to explore the influence of the design of circular business models (CBMs) on CBM viability. The model represents an Industrial Symbiosis Network (ISN) in which a processor uses the organic waste from suppliers to produce biogas and nutrient rich digestate for local reuse. CBM viability is expressed as value captured (e.g., cash flow/tonne waste/agent) and the survival of the network over time (shown in the interface).

In the model, the value captured is calculated relative to the initial state, using incineration costs as a benchmark. Moderating variables are interactions with the waste incinerator and actor behaviour factors. Actors may leave the network when the waste supply for local production is too low, or when personal economic benefits are too low. When the processor decides to leave, the network fails. Theory of planned behaviour can be used to include agent behaviour in the simulations.

ISN biodigester.png

Release Notes

V1.0.0

Associated Publications

Agent-based modelling and simulation for circular business model experimentation

This release is out-of-date. The latest version is 1.1.0

Circular Business Model experimentation: local biodigestion network 1.0.0

The purpose of the model is to explore the influence of the design of circular business models (CBMs) on CBM viability. The model represents an Industrial Symbiosis Network (ISN) in which a processor uses the organic waste from suppliers to produce biogas and nutrient rich digestate for local reuse. CBM viability is expressed as value captured (e.g., cash flow/tonne waste/agent) and the survival of the network over time (shown in the interface).

In the model, the value captured is calculated relative to the initial state, using incineration costs as a benchmark. Moderating variables are interactions with the waste incinerator and actor behaviour factors. Actors may leave the network when the waste supply for local production is too low, or when personal economic benefits are too low. When the processor decides to leave, the network fails. Theory of planned behaviour can be used to include agent behaviour in the simulations.

Release Notes

V1.0.0

Version Submitter First published Last modified Status
1.1.0 Kasper Lange Tue Jun 29 18:09:53 2021 Wed Jul 14 21:50:46 2021 Published Peer Reviewed https://doi.org/10.25937/3ewr-yt59
1.0.0 Kasper Lange Thu Dec 17 14:13:39 2020 Thu Dec 17 14:18:28 2020 Published

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