StarNest Solar Autonomy Calculator

Solar, storage, recovery, and load-priority planning for remote observatories
STARNEST LABS · CONCEPT MODEL
BETAPlanning estimate only. Compare configurations and explore uncertainty, but validate the final battery, solar, MPPT, wiring, protection and thermal design with measured equipment and site data before procurement or installation.
Locked battery capacity
Ah
kWh nominal · kWh usable · assumes % poor-day solar
Ah
Locked solar capacity
W
W energy-neutral minimum · kWh/day expected after system losses
Full reserve-to-full recovery in days: W
W
Design basis
Manual location
4.50 PSH/dayselected month
Wh/daynormal operation
dayspoor-solar autonomy

30-day battery state of charge

Left axis: SOC · right axis: remaining battery capacity in Ah · hourly energy model with 720 calculations
Installed systemRecommended system
Installed minimum SOC
Recommended minimum SOC
Completed imaging nights
Installed period balance
Installed average solar harvest
Suggested MPPT output
Installed ending SOC
Long-term behavior

Monte Carlo reliability simulation

1,000 randomized trials · correlated weather averaging two poor-solar days per week · planning model
P10–P90 rangeP50 median
% σ
% σ
% σ
% σ
% σ
The simulation will update automatically after calculator inputs change.
Run the simulation to calculate probabilistic reliability.

How to read this: each percentage is the share of randomized simulation periods with that outcome—not the percentage of nights completed. “Low / typical / high” shows the P10 / P50 / P90 range.

Chance of a perfect period
Chance of meeting the 80% target
Average nights completed
Chance of at least one safe-close
Chance battery reaches self-protect
Chance full charge is maintained or regained
Ending SOC · low / typical / high
Lowest SOC · low / typical / high
Completed nights · low / typical / high
Typical full-recovery time
Monte Carlo assumptions and metric definitions
Chance of a perfect period is the share of trials that complete every scheduled imaging night; one interrupted night makes that trial imperfect. Chance of meeting the 80% target is the share of trials that complete at least 80% of scheduled nights and is usually the more useful availability measure. Safe-close and self-protect percentages show whether the event occurred at least once anywhere in the selected period, so a trial may have a safe-close and still meet the 80% target. Poor weather occurs at a long-run average of two days per week and is clustered so multi-day cloudy periods can occur. The model still schedules imaging every night, including poor-weather nights, so this is conservative compared with an observatory that skips unusable cloudy nights. Each trial varies monthly solar resource, daily weather, general electrical loads, thermal duty, usable battery capacity and Starlink boot energy. The NASA monthly value remains the expected monthly mean; weather variability is centered around that mean to avoid double-counting cloudy-day losses. Percentages marked σ are one-standard-deviation planning uncertainties. Results are planning estimates until calibrated with site and prototype measurements.

Year-round sizing comparison

Orange: solar required for the selected battery · red: battery required for the selected solar array
Load NASA monthly data to compare all 12 months.
MonthSolar resourceSolar neededBattery needed
Monthly data not loaded.

Engineering checks

30-day energy summary

PeriodSolar factorSolar generatedLoad consumedEnd SOCLowest SOCOperating result

Power-management sequence

Battery triggerConnectivityThermal managementTelescope / enclosure

Thermal management uses separate suspend and resume thresholds to prevent rapid cycling. Field testing must determine when temperature or humidity protection should override energy-priority shedding.

Variables requiring field validation
Measure Starlink cold-boot energy and reconnection time; telescope and DRACO operating draw; thermal duty as a function of enclosure insulation, sun, ambient temperature and humidity; dehumidifier condensate behavior; dew-heater duty; enclosure close energy and retry allowance; MPPT, conversion and cable losses; solar shading, panel temperature and soiling; LiFePO₄ temperature/aging derating; parasitic standby loads; and the required cloudy-weather autonomy.
Calculation basis and limitations
Battery sizing covers the net energy deficit during the selected number of poor-weather days, using the adjustable poor-day solar fraction rather than assuming zero generation. It also includes closure reserve, protected SOC, discharge efficiency and age/temperature margin. The primary solar recommendation replaces one normal day of energy during the selected month and then applies the solar design margin. It does not force immediate recovery of the entire autonomy battery; recovery may occur over several better-solar days. The optional fast-recovery value is reported separately. Full-year mode applies all 12 NASA monthly solar values across a 365-day non-leap-year calendar. NASA POWER monthly all-sky surface shortwave irradiance is treated as equivalent peak-sun-hours before PV-system yield and design margin. Solar charging is routed through a separate MPPT/charger path and is not part of the StarNest 300 W load-side PDU. MPPT current, battery charge acceptance, low-temperature charging, wiring, fusing, panel orientation, snow and shading require final hardware and site verification. This is a planning model, not a final electrical design.
Reference sources
NASA POWER Climatology API · Open-Meteo Geocoding API · Starlink power specifications. Starlink cold-boot power and acquisition time remain editable engineering assumptions pending direct measurement.