Design & Simulation
Full-year hourly simulation of hybrid power systems with real NASA weather data.
An AI agent handles component sizing, cost optimization, and analysis.
Three stages from site definition to optimized design
Set coordinates and load requirements. The platform pulls NASA POWER satellite weather data for your location.
Manually configure components or describe your needs in natural language. The AI agent sizes solar, battery, diesel, wind, and hydro components.
Run full-year 8,760-hour simulations. The optimizer searches the design space for the lowest-cost configuration meeting your reliability constraints.
Core features of the simulation and design engine
An integrated AI agent that sizes components, runs simulations, explains results, and generates reports through conversational interaction.
Runs an 8,760-hour time-series simulation covering every hour of the year, using location-specific weather data.
Grid search, genetic algorithm, and PSO optimizers minimize LCOE and NPC while meeting reliability constraints.
Models solar PV, battery storage (lead-acid and lithium-ion), diesel generators, wind turbines, micro-hydro, and grid interconnection.
Integrates NASA POWER satellite climatology data. Monthly averages are synthesized into hourly profiles using physical diurnal models.
Targets 1 kW – 5 MW systems in off-grid and weak-grid environments, with defaults calibrated for West Africa.
The AI agent has direct access to the simulation engine, optimizer, and weather data. It can size components, run simulations, compare configurations, and present results with interactive visualizations — all within a single conversation.
Describe requirements in natural language. The agent translates them into component specifications and system configurations.
Charts, system configurators, and location maps render directly within the chat conversation.
Identifies design issues — diesel wet-stacking risk, undersized battery banks, low renewable penetration — and suggests corrections.
Parametric sweeps and what-if scenarios to quantify how design changes affect cost and reliability.
Generates PDF feasibility reports containing simulation results, economic metrics, and system specifications.
I've fetched NASA POWER weather data for Bong County (7.08°N, 9.77°W). Based on the estimated 127 MWh/yr load profile, here is the auto-sized configuration:
Solar PV
88.8kWp
Battery
230kWh
Diesel
25kW
LCOE
$0.214
Shall I run the simulation?
Simulation complete (8,760 hours in 142ms). Results:
Renewable Fraction
92.0%
Unmet Load
1.16%
NPC (25yr)
$293.1K
Diesel Usage
1,847 L/yr
24-Hour Dispatch (typical day)
The diesel generator runs below 30% load during morning hours. Consider reducing diesel capacity to 20 kW to avoid wet-stacking.
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