Enexa
Simulation Overview
  • Input SummaryAll configuration parameters
  • Simulation AlgorithmsReactive vs Smart EMS explained
  • Result OverviewSide-by-side comparison
Configuration
  • Location SetupEquipment specs & constraints
  • FinancialsCosts, income & margins
  • Solar ProductionPV generation profile
  • Charging SessionsEV demand profile
  • Not ModeledKnown gaps & limitations
Reactive BMS
  • BMS AlgorithmHow the reactive BMS works
  • BMS ReactiveRule-based simulation results
SmartEMS
  • SmartEMS AlgorithmHow the 2-layer optimizer works
  • SmartEMS ConfigPlanner tuning parameters
  • SmartEMS ResultsOptimized simulation output
  • SmartEMS DispatchingGate logic & energy flow rules
Solution Overview
  • Solution OverviewArchitecture & responsibilities
  • Comm ArchitectureAPI integration patterns
  • Middleware APITelemetry & command schema
  • Onboarding & ConfigMaster data & config API
  • Exception HandlingFallbacks & failure scenarios
Prototype
  • Site MonitoringReal-time telemetry dashboard
  • Dispatch LogsCommand execution & verification
  • Impact DashboardSavings & value demonstration
  • What-If ScenariosScenario analysis & comparison

What-If Scenario Analysis

Explore optimization value under different market conditions and configurations

Scenario Parameters
Adjust inputs to see impact on savings
60%

Higher volatility = bigger price swings = more arbitrage opportunity

85
400
232

ChargePost: 232 kWh (2x 116 kWh)

Daily Savings

12 EUR

48% vs baseline

Baseline Cost

26 EUR

Without optimization

Optimized Cost

14 EUR

With SmartEMS

Price Spread

71 EUR

Peak vs off-peak

Simulated Price Curve
24-hour EPEX price profile based on volatility settings
Battery SOC Strategy Comparison
How SmartEMS manages battery state vs baseline approach

SmartEMS Strategy

Charges battery during low-price hours (00:00-06:00) to build reserves, then uses stored energy to serve EV demand during high-price hours (08:00-18:00), avoiding expensive grid purchases.

Savings Breakdown
Where the optimization value comes from
Price Arbitrage6.63 EUR

Buy low, sell high - storing cheap energy and using it during expensive hours

Load Shifting5.82 EUR

Moving EV charging to cheaper hours when possible

Projected Annual Savings

4.544,25 EUR

Based on current scenario parameters

400 kWh/day demand, 232 kWh battery, 60% volatility