Where to Build: Multi-Objective Analysis Reveals Optimal Hub and Depot Locations
Pareto frontier analysis comparing 8 orbital locations for Assembly Hub and depot placement. Sun-Earth L4/L5 emerges as optimal for Phase 1, with 0.7 AU heliocentric as a Phase 2 option.
Research Team
Project Dyson
Where to Build: Multi-Objective Analysis Reveals Optimal Hub and Depot Locations
Orbital location selection is one of the most consequential decisions for Dyson swarm construction. We built a multi-objective Monte Carlo trade model to compare 8 candidate locations across cost, risk, and capability dimensions.
The Questions
Two related research questions drove this analysis:
- RQ-1-19: Where should the Assembly Node Hub be located?
- RQ-1-36: Where should logistics depots be positioned?
These decisions are coupled—hub location affects depot requirements, and depot placement constrains operational flexibility.
The Candidates
We evaluated 8 orbital locations spanning cislunar space to Mercury orbit:
| Location | Distance | Solar Flux | Delta-V from Earth |
|---|---|---|---|
| Lunar NRHO | 0.0026 AU | 1,361 W/m² | 3.5 km/s |
| Sun-Earth L1 | 1.0 AU | 1,361 W/m² | 4.0 km/s |
| Sun-Earth L4/L5 | 1.0 AU | 1,361 W/m² | 4.5 km/s |
| Heliocentric 1.0 AU | 1.0 AU | 1,361 W/m² | 4.0 km/s |
| Heliocentric 0.7 AU | 0.7 AU | 2,780 W/m² | 6.0 km/s |
| Heliocentric 0.5 AU | 0.5 AU | 5,444 W/m² | 8.0 km/s |
| Venus L4/L5 | 0.72 AU | 2,620 W/m² | 5.5 km/s |
| Sun-Mercury L1 | 0.39 AU | 8,900 W/m² | 12.0 km/s |
The Key Finding: L4/L5 for Phase 1, Inner System for Phase 2
Sun-Earth L4/L5 provides the optimal balance for Phase 1 operations.
| Objective | Winner | Why |
|---|---|---|
| Lowest Cost | Sun-Earth L1 | Minimum delta-V from Earth |
| Highest Capability | 0.7 AU Heliocentric | 2× power density |
| Lowest Risk | Sun-Earth L4/L5 | Gravitationally stable, proven thermal |
| Overall | Sun-Earth L4/L5 | Best risk-adjusted performance |
The Pareto Frontier
Multi-objective optimization reveals that no single location dominates across all criteria. The Pareto-optimal solutions are:
- Sun-Earth L4/L5 - Best for risk-averse Phase 1
- Heliocentric 0.7 AU - Best for power-optimized Phase 2
- Lunar NRHO - Best for cislunar staging only
Mercury orbit (0.39 AU) falls off the Pareto frontier due to thermal management challenges that increase risk without proportionate capability gains.
The Thermal Cliff
The simulation reveals a critical threshold at 0.5 AU:
| Distance | Radiator Requirement | Feasibility |
|---|---|---|
| >0.7 AU | ~3,000 m² | Standard design |
| 0.5-0.7 AU | ~6,000 m² | Oversized radiators |
| <0.5 AU | >10,000 m² | Active cooling mandatory |
Operations inside 0.5 AU require fundamental thermal architecture changes.
For Phase 1, staying outside this thermal cliff dramatically reduces risk.
Delta-V Budget Analysis
Round-trip mission costs from each depot location:
| Depot Location | To Swarm (1 AU) | Round Trip | Tank Sizing |
|---|---|---|---|
| NRHO | 3.5 km/s | 7.0 km/s | Large |
| L4/L5 | 2.5 km/s | 5.0 km/s | Moderate |
| 0.7 AU | 1.5 km/s | 3.0 km/s | Small |
L4/L5 provides excellent logistics efficiency—close enough to Earth for resupply, close enough to swarm for deployment.
The Two-Tier Architecture
Based on the analysis, we recommend:
Tier 1: Cislunar Staging (NRHO)
- Receives Earth-launched cargo
- Propellant depot for outbound tugs
- Human-accessible for crewed operations
Tier 2: Heliocentric Operations (L4/L5)
- Primary Assembly Hub location
- Swarm deployment staging
- Long-duration autonomous operations
This architecture:
- Keeps humans in cislunar space (safer, shorter rescue time)
- Positions manufacturing where solar power is reliable
- Minimizes total delta-V across the logistics chain
Communication Latency Analysis
| Location | Earth Light-Time (one-way) | Impact |
|---|---|---|
| NRHO | 1.3 seconds | Real-time control possible |
| L4/L5 | 8+ minutes | Requires autonomy |
| 0.7 AU | 4+ minutes | Requires autonomy |
Any heliocentric location requires Level 3+ autonomy. The consensus specification already requires 30-day autonomous operation, so this constraint is already met.
Try It Yourself
We've published the interactive simulator so you can explore these trade-offs. Adjust candidate locations, feedstock sources, objective weights, and fleet parameters to see how recommendations change.
Methodology
The simulation uses:
- Hohmann transfer delta-V calculations for logistics costs
- Thermal equilibrium modeling for feasibility assessment
- Light-time calculations for communication latency
- 100 Monte Carlo runs with weighted multi-objective scoring
Results should be interpreted as relative comparisons between locations.
What's Next
This research answers RQ-1-19 and RQ-1-36, providing validated location recommendations for Phase 1. The L4/L5 baseline allows Phase 1 to proceed with known thermal technology while inner-system expansion remains an option for Phase 2.
Remaining work:
- Detailed swarm deployment geometry optimization
- Autonomy latency impact assessment
- Propellant logistics cost modeling for each architecture
Research Questions:
Interactive Tool: Orbital Trade Simulator
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