MUSE2 (ModUlar energy systems Simulation Environment) is a tool for running simulations of energy systems, written in Rust. Its purpose is to provide users with a framework to simulate pathways of energy system transition, usually in the context of climate change mitigation.
It is the successor to MUSE, which is written in Python. It was developed following re-design of MUSE to address a range of legacy issues that are challenging to address via upgrades to the existing MUSE framework, and to implement the framework in the high-performance Rust language.
🚧 Please note that this code is under heavy development and is not yet suitable for end users. Watch this space! 🚧
MUSE is an Integrated Assessment Modelling framework that is designed to enable users to create and apply an agent-based model to simulate a market equilibrium on a set of user-defined commodities, over a user-defined time period, for a user-specified region or set of regions. MUSE was developed to simulate approaches to climate change mitigation over a long time horizon (e.g. 5-year steps to 2050 or 2100), but the framework is generalised and can therefore simulate any market equilibrium.
It is a recursive dynamic modelling framework in the sense that it iterates on a single time period to find a market equilibrium, and then moves to the next time period. Agents in MUSE have limited foresight, reacting only to information available in the current time period. This is distinct from intertemporal optimisation modelling frameworks (such as TIMES and MESSAGEix) which have perfect foresight over the whole modelled time horizon.
To start using MUSE2, please refer to the documentation. If you wish to develop MUSE2 or build it from source, please see the developer guide.
Thanks goes to these wonderful people (emoji key):
 Alex Dewar 💻 |
 Tom Bland 💻 |
 Sahil Raja 💻 |
 Ashmit Sikdar 💻 |
 Diego Alonso Álvarez 💻 |
 Adrian D'Alessandro 💻 |
 Ryan Smith 💻 |
 Benjamin Scharpf 💻 |
 Adam Hawkes 🤔 📖 |
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