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

Impact & Savings Dashboard

Cost optimization results and value demonstration

SmartEMS Optimization Active
1.902EUR

Total savings this period

Baseline Cost

6.313 EUR

Optimized Cost

4.411 EUR

30% saved

Avg Daily Savings

61 EUR

EV Energy Delivered

12.0 MWh

CO2 Avoided

7.6 t

Charging Sessions

15

Daily Cost Comparison
Baseline (without optimization) vs Actual (with SmartEMS)
Savings Sources
Where the optimization value comes from
Price Arbitrage
45%
Battery Boost (avoid peak prices)
35%
Load Shifting
20%
Monthly Trend
Savings rate over time