Building a space station simulation in Aerosimulations is more than dragging modules onto a grid — it’s an exercise in systems engineering, resource logistics, and crisis management. Whether you’re an educator designing a classroom tool or an enthusiast prototyping a future orbital habitat, the principles remain the same: every kilogram of mass, every watt of power, and every breath of oxygen must be accounted for. This guide expands the foundational steps into a production‑level workflow, covering advanced module interdependencies, life‑support loops, automation scripting, and real‑world validation against NASA and ESA reference stations.

Defining Your Simulation’s Purpose and Scope

Before opening the module catalog, decide what your simulation aims to teach or test. Is your goal a habitable station for a crew of six with closed‑loop life support? Or a research outpost focused on microgravity experiments? The scope determines the complexity of resource chains and environmental systems. For a first project, start with a mid‑size station modelled after the International Space Station’s core modules — but keep it extensible.

Write down key parameters:

  • Crew size – affects living quarters volume, food/water/oxygen consumption rates, and waste generation.
  • Mission duration – short missions (30 days) can rely on stored supplies; long durations require recycling systems.
  • Primary research focus – materials science, biology, Earth observation, or astronomy each demand specific lab equipment and orientation.

Most Aerosimulations templates assume a generic station; your custom scenario will teach you far more about real‑world trade‑offs.

Deep Dive into Module Design and Interconnectivity

The original guide lists four basic modules, but real stations need more than that. Expand your design with these critical subsystems:

Hull, Docking Ports, and Structural Integrity

Every module must be pressurized and connected via airtight docking mechanisms. In Aerosimulations, each node has a structural load limit — stacking too many heavy modules on one truss can stress the attachment points and cause failure during high‑thrust maneuvers. Use the built‑in stress analysis tool to check for red‑highlighted connections. For large stations, add a central truss backbone (like the ISS’s Integrated Truss Structure) to distribute loads evenly.

Power Distribution Beyond Solar Panels

Solar panels are common, but they lose efficiency in eclipse periods (about 35‑40 minutes of every 90‑minute orbit). Add batteries with enough capacity to cover full orbits during high‑power experiments. For deep‑space or lunar‑orbiting stations, consider a nuclear reactor module — Aerosimulations includes a “Kilopower”‑type model that provides up to 10 kW continuously. Never place reactor modules near crew quarters without the required radiation shielding (a dedicated shield tile adds 150 kg per module side).

Thermal Control System

Heat rejection is as important as power generation. Modeling a station without radiators leads to rapid overheating of electronics. Add radiator arrays to service modules and laboratory blocks. Aerosimulations simulates passive (heat pipes) and active (ammonia loops) cooling; for a first station, use passive radiators mounted on the exterior of each living module. Check the thermal balance report: if internal temperatures exceed 35 °C, increase radiator surface area or relocate high‑heat equipment to isolated modules.

Lab Facilities and Payload Accommodations

Researchers need standard racks (like ISS EXPRESS racks) that provide power, data, and cooling for experiments. In your simulation, place rack slots inside each lab module and assign equipment that consumes power and generates data. The more experiments you run, the more data storage and downlink bandwidth you’ll require. Connect your station to a communications module with high‑gain antennas — without it, science data cannot be sent to mission control, and the mission’s value drops.

Advanced Resource Management: Closed‑Loop Life Support

The original article mentions oxygen and air circulation. A realistic simulation must treat life support as a chain of interconnected processes — not a set of independent sliders.

Water Recycling and Electrolysis

Store initial water in tanks, but use the Water Recovery System (WRS) module to reclaim humidity condensate and urine. The WRS in Aerosimulations recovers about 85‑90% of water, with a small amount lost as brine. That brine can be processed further in a Brine Processor Assembly for near‑100% recovery, but the processor itself consumes power and requires frequent filter replacements. Connect the output to an Oxygen Generation Assembly (OGA) module that electrolyzes water into oxygen and hydrogen. The hydrogen can be vented or stored for later chemical processing (e.g., Sabatier reaction with carbon dioxide).

Carbon Dioxide Scrubbing and Reduction

Crew health requires CO₂ levels below 0.4%. Use a Carbon Dioxide Removal Assembly (CDRA) with zeolite beds to absorb CO₂. In a closed‑loop setup, feed the captured CO₂ into a Sabatier reactor along with hydrogen from the OGA to produce water and methane. The water returns to the recycling loop; the methane can be vented or burned in a flare for attitude control thrust. This cycles carbon back into water, drastically reducing resupply needs. Monitor the Sabatier reactor’s temperature – it runs at ~400 °C and requires cooling loops.

Food Supply and Waste Management

Simulating food for long missions involves either stored shelf‑stable packages or advanced bioregenerative systems (e.g., growing lettuce in a Vegetable Production System (Veggie) module). While Aerosimulations does not model plant growth in detail, you can approximate a bioregenerative module that consumes CO₂ and produces oxygen at a fixed rate. Waste (food scraps, packaging, fecal material) must be compacted and stored in a trash module; otherwise it drifts as orbital debris. Some designs incinerate waste for energy, but that adds a combustion‑byproduct scrubbing step. For simplicity, design a storage module that can be filled and ejected after 90 days.

Automation and Control Scripting

Manually adjusting valves and power settings is impractical for a station that operates 24/7. Aerosimulations includes a node‑based logic system (similar to programmable logic controllers) that can trigger actions based on sensor thresholds:

  • When cabin CO₂ rises above 0.5%, start the CDRA blower fan.
  • When battery state of charge drops below 20%, shed non‑critical loads (lighting, entertainment, some lab equipment).
  • If a pressure drop is detected in a module, close inter‑modular hatches and sound an alarm.

Write a few basic rules and test them with the simulation running at 10× time compression. Check the event log for logic errors or unintended actions. For example, if the CO₂ scrubber turns on and off every 10 minutes, adjust hysteresis values to prevent rapid cycling. Well‑designed automation reduces crew workload and prevents accidents during unattended periods.

Testing and Iteration: From Prototype to Operational Station

Once your modules are connected and life‑support loops configured, run a 7‑day simulation at real‑time speed. Observe these metrics closely:

  • Resource inventories (oxygen, water, food, propellant) – plot the trend lines; they should decline slowly but stabilise if recycling loops are balanced.
  • Environmental parameters (temperature, humidity, CO₂, pressure) – they must stay within green ranges; any excursion triggers a failure event.
  • Power budget – check for moments when solar panels fall in shadow; the batteries must cover the gap without dropping below 30% state of charge (to protect battery life).
  • Structural loads – after docking a supply spacecraft, verify that no module exceeds its maximum design load.

If a system fails (e.g., the thermal loop overheats), pause the simulation, inspect the affected module’s input‑output report, and redesign the connection or add redundancy. Keep a log of each failure and the fix applied; this becomes your station’s operations manual.

Common Pitfalls to Avoid

  • Under‑sized batteries – a common first‑timer mistake. Use at least 2× the power draw during eclipse multiplied by the eclipse duration.
  • Missing radiator capacity – every module that generates more than 500 W needs its own radiator panel or connection to a shared thermal loop.
  • Insufficient CO₂ scrubber throughput – the scrubber’s flow rate must match the crew’s metabolic output (0.84 kg CO₂ per person per day). Oversize it by 20% for safety margins.
  • No backup life support – have at least one emergency oxygen tank and a portable CO₂ scrubber on board. Simulate a failure of the primary OGA to test your backup plan.

Validating Your Design Against Real‑World Stations

You can stress‑test your simulation by comparing it to public data from actual space stations. For example, the ISS Environmental Control and Life Support System (ECLSS) recovers roughly 90% of water and generates oxygen electrolytically. Check whether your simulation’s recovery rates match. If yours is lower, tweak the module efficiencies or add redundancy.

Study the layout of the International Space Station modules for inspiration on module placement and orientation. For a more modern reference, look at ESA’s Lunar Gateway concept – it uses a smaller habitation module with advanced radiation shielding and closed‑loop life support. Adapt those design principles: place storage and utility modules on the edge of the station to shield the crewed core from radiation.

Sharing and Collaborating in the Aerosimulations Community

Once your simulation is running smoothly, save the design as a “station blueprint” and export a log of its resource consumption data. The Aerosimulations Community Aerodrome hosts user‑shared stations, complete with post‑mission reports and automation scripts. Upload your station and ask for peer reviews – you’ll receive feedback on optimising power layouts, reducing mass, or improving risk tolerance.

Consider participating in design challenges: build a station that can support a six‑person crew for 90 days without resupply, or one that fits entirely inside a single Starship payload. These constraints force creativity and highlight areas where your simulation’s resource loops have hidden bottlenecks.

For those interested in the underlying physics, NASA’s Engineering and Code examples provide real algorithms for orbital mechanics and thermal modelling that Aerosimulations approximates. Understanding these equations will let you calibrate your simulation’s parameters to match reality more closely.

Conclusion

Building your first space station simulation in Aerosimulations is not a one‑click process — it demands thoughtful integration of structural, power, thermal, and life‑support systems. By moving beyond basic module placement and into the detail of closed‑loop recycling, automation logic, and iterative testing, you create a station that behaves like a real orbital outpost. The skills you develop — balancing trade‑offs, debugging cascading failures, and validating against real data — are the same ones used by NASA and ESA engineers. Finish your simulation, share it, and then try designing a station for the Moon or Mars. Every simulation you complete adds to your engineering intuition and brings humanity one step closer to becoming a spacefaring civilisation.