Diesel dependency
Fuel delivery to off-grid sites is costly and disruptible, and carries local emissions, noise, heat and maintenance loads.
XCITY MINING INC. · THE AUTONOMOUS RENEWABLE MINE
Mining that runs on
sunlight and code.
XCITY MineOS is the AI operating system for autonomous, solar-powered mines — one supervisory controller that turns weather forecasts and mine data into physically executable machine schedules, coordinating renewable generation, long-duration storage and an autonomous fleet as a single system.
- Solar Generation
- Solid-CO₂ Storage
- Mining Robots
- Electric Haulage
01 · The challenge
Remote mines run on diesel — or on luck.
Electrifying a mine converts a fuel-logistics problem into an energy-availability problem — and the systems meant to solve it don't talk to each other.
Renewable variability
Photovoltaic output swings with irradiance, cloud cover, temperature, dust and soiling — rarely aligned with mine demand.
Coincident peaks
Drilling, hoisting, crushing, pumping and fleet charging spike together, exceeding economical inverter and generator capacity.
Siloed control
Mine schedulers chase production; energy controllers chase kilowatts. Run apart, one demands power that's gone while the other idles ready ore.
02 · The insight
Energy flow and material flow are the same problem.
A charging decision isn't just electrical demand — it reshapes material flow, road congestion, crusher feed and geotechnical exposure. MineOS optimizes them together, in one loop.
Today
Two systems, working against each other.
With MineOS
One controller, coordinating every joule and every tonne.
03 · The solution
What XCITY MineOS solves.
Every constraint of a remote, electrified mine — answered by one coordinated system.
The challenge With XCITY MineOS
Diesel cost & supply risk
Solar plus long-duration storage displaces diesel and its logistics — fewer deliveries, lower fuel bills, less exposure.
Solar that comes and goes
Solid-CO₂ storage carries the site through nights, cloud and multi-day storms — essential loads never drop.
Peaks that force oversized kit
Flexible work is shifted off the peaks, so you can right-size inverters and generators instead of overbuilding.
Energy and production in silos
One AI controller schedules power, robots, haulage and charging together — the systems stop fighting each other.
Tonnes moved with no energy view
Every parcel is produced by value-per-kWh, with verifiable per-tonne energy for low-carbon buyers.
04 · The architecture
One AI controller. Four physical subsystems.
AI Supervisory Controller receding-horizon dispatch
Photovoltaic Generation
Solar arrays sized to the site, the primary energy source.
Solid-CO₂ Long-Duration Storage
A closed-loop CO₂ plant that stores surplus solar for nights and storms.
Autonomous Mining Robots
Machines that survey, drill, cut, load and handle material.
Autonomous Electric Haulage
Driverless electric trucks moving ore on energy-aware routes.
Sensor network · digital twin · live telemetry
The controller jointly determines storage setpoints, robot work packages, haul routes and charging windows — then issues machine-executable commands and replans as conditions change.
05 · The control loop
A receding-horizon loop that never stops planning.
Commands are issued for the near term, the world is re-measured, and the horizon recedes — with event-triggered replanning on cloud transients, failures, blockages, a detected person, or a CO₂ alarm.
- 01
Sense
Electrical, mechanical, geotechnical and environmental state.
- 02
Forecast
Photovoltaic trajectory, ore grade, cycle times, storage state.
- 03
Optimize
Jointly schedule energy, robots, routes and charging.
- 04
Command
Translate the plan into equipment-specific setpoints.
- 05
Measure
Capture the physical result of every command.
- 06
Replan
Recede the horizon; update the digital twin.
Three time scales, one plan
Milliseconds–seconds grid stability
Seconds–hours production dispatch
Hours–days storage inventory
06 · Long-duration storage
Storing sunlight as solid CO₂.
Batteries buffer seconds and minutes. For overnight, multi-day and weather-driven deficits, MineOS charges a closed-loop CO₂ plant — freezing carbon dioxide into dry ice, then recovering the energy on demand.
Charge · solar surplus
Freeze
- Compress CO₂ (heat recovered for later)
- Cool and liquefy the working fluid
- Expansion-freeze into solid CO₂
- Store dry ice in insulated inventory vessels
Discharge · on demand
Recover
- Meter solid CO₂ to a sublimator / heater
- Add waste heat from crushers, motors, data
- Pressurize and expand through a turbine
- Deliver electricity back to the microgrid
Closed-loop by design. CO₂ is the working fluid, not an emission — captured and recompressed, with a protected reserve held for essential loads.
07 · The autonomous fleet
Robots that mine. Vehicles that route on energy.
Every mobile machine is a scheduled load and a mobile energy asset. MineOS plans work, routes and charging together — so the shortest path never triggers a power peak, a charger queue or a geotechnical risk.
Mining robots
Mapping & scaling
Survey and prepare faces ahead of extraction.
Drilling & cutting
Fragment rock within a set energy envelope.
Loading & handling
Move material under precedence constraints.
Inspection
Inspect pipelines and equipment continuously.
Electric haulage
Energy-aware routing
Routes chosen on traction and regen energy, not just distance.
Battery-swap inventory
Charged modules treated as mobile stored energy.
Regen coordination
Downhill braking energy timed to uphill and charging loads.
Charging windows
Fleet charging scheduled into solar surplus, never into peaks.
Material identity is preserved from source block to destination — so blending and grade constraints hold even while rerouting around hazards.
08 · The optimization engine
Learned intelligence, deterministic guardrails.
A learned model proposes candidate schedules; a deterministic feasibility checker vetoes any command that breaks a hard constraint.
Inputs
- PV-power forecast
- CO₂ inventory & thermo state
- Spatial mine model
- Robot & vehicle telemetry
- Safety & production limits
Outputs
- Storage charge / discharge setpoints
- Robot extraction work packages
- Vehicle haulage routes
- Machine-charging windows
The objective weighs recovered mineral value, production shortfall, PV curtailment, storage loss, equipment wear, battery degradation, electrical peak, congestion and risk — subject to power-balance, storage, machine-energy, route and spatial-safety constraints.
09 · Energy-aware production
Every tonne carries an energy passport.
When a block is identified, MineOS opens a record that follows it from source to destination — so the mine can prioritize value recovered per constrained unit of energy, not just tonnes.
Prospectively
Choose the next work package by expected value per available kilowatt-hour.
Retrospectively
Feed measured energy back to sharpen rock-hardness, route and tool models.
Verifiable
An internal record that can be signed or hash-linked — no ledger required.
10 · Safety & resilience
Safety sits outside the optimizer — by design.
An independent safety supervisor can override any production plan. The optimizer cannot disable hardwired protection — it can only work within it.
Independent supervisor
On a CO₂ alarm: isolate flow, ventilate, and route machines out of the zone — regardless of production goals.
Protected reserve
Long-duration energy ring-fenced for ventilation, dewatering, communications and electrical protection.
Digital-twin drift
When predictions diverge from measurement, MineOS raises reserve and reduces autonomous authority.
Secure by default
Signed firmware, authenticated commands, segmentation and replay protection; stale commands are rejected.
Degraded but safe. If learned-model confidence drops or comms are lost, machines fall back to deterministic schedules and locally stored safe-state policies.
11 · In operation
One system, adapting hour to hour.
- 01
High irradiance
Serve active loads, then freeze CO₂, charge fleets and advance flexible high-energy drilling.
- 02
Before sunset
Build stockpiles by the crusher, charge night-haul vehicles, verify the expander is ready.
- 03
Multi-day storm
Pre-build dry-ice inventory and stockpiles; discharge by load tier and predicted restoration.
- 04
Route blocked
Reroute only if the alternate path won't draw energy below the protected reserve.
Excess generation is never wasted — it becomes stored CO₂ inventory or real mine progress.
12 · What you gain
What XCITY MineOS delivers to your operation.
Measurable outcomes across cost, uptime, sustainability and control — from the first site.
Lower fuel & OPEX
Displace diesel and cut fuel deliveries, logistics and generator maintenance.
Energy security
Overnight and multi-day resilience keeps ventilation, dewatering and comms alive — no diesel backup.
Right-sized capacity
Peak-shaving lets you defer or avoid costly inverter and generator upgrades.
Higher-margin output
Energy passports steer production to the highest value per available kilowatt-hour.
More autonomous uptime
Consistent 24/7 operation with fewer people working in hazardous zones.
Nothing wasted
Regenerative braking and site waste heat are recaptured and reused.
13 · The business case
Why operators move to XCITY MineOS.
Four levers that turn an autonomous, renewable mine into a stronger business.
Operating cost
Less fuel, fewer wasted haul cycles, and shaved peaks that let you right-size capital equipment.
Production & revenue
Resilience through weather, nights and disruption safeguards output when others go dark.
New markets
Carbon-competitive metals for CBAM-exposed buyers and low-carbon offtake premiums.
With confidence
Modular and retrofit-ready — add wind, geothermal or storage as the operation grows.
Sustainability as a commercial edge. Verifiable per-tonne energy accounting turns decarbonization into market access and premium pricing — not just a compliance cost.
Let's design your autonomous, renewable mine.
The autonomous, renewable-powered mine — coordinated end to end by one intelligent controller.