𝗦𝗽𝗮𝗰𝗲 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗵𝗮𝘀 𝗮 𝗰𝗼𝗼𝗿𝗱𝗶𝗻𝗮𝘁𝗶𝗼𝗻 𝗽𝗿𝗼𝗯𝗹𝗲𝗺.
Every company, supplier, university lab, and mission team has their own simulation stack, assumptions, interfaces, and data formats. A thermal model lives in one tool. Power analysis in another. Mechanical dynamics somewhere else. Mission operations in spreadsheets and slide decks.
The result is not just inefficiency - it slows iteration across the entire industry.
At LunCoSim, we’re building around a different idea:
A shared, open simulation environment where multidisciplinary teams can collaborate on the same mission architecture instead of constantly translating between disconnected tools.
That’s why the core of LunCoSim is open source.
Not because “open source” is fashionable, but because lunar and space systems require organizations to exchange models, validate assumptions, reproduce results, and extend each other’s work. If every interface is proprietary or locked behind vendor-specific tooling, collaboration becomes fragile and expensive.
An open core allows:
• shared simulation results across organizations
• inspectable and modifiable models
• reproducible engineering workflows
• community-driven interfaces and standards
• long-term interoperability beyond a single vendor
Another key decision was building multiple co-simulations inside one integrated environment.
Real missions are not isolated domains. A rover’s mobility affects power consumption. Power affects thermal behavior. Thermal constraints affect operations. Communications latency changes autonomy requirements.
These systems interact continuously.
Instead of exporting data between disconnected tools, LunCoSim aims to let teams run these domains together as part of a unified systems simulation workflow.
For this reason, we chose:
• Modelica for physics-based multi-domain simulation
• SysML v2 for systems architecture and engineering semantics
• USD as a scalable real-time scene and data interchange layer
Together, they create a foundation where engineering models, system architecture, and operational visualization can exist in the same ecosystem instead of separate silos.
The long-term goal is not just “better simulation software.”
It’s reducing the coordination cost of building complex space systems.