📊
Drop diagnostics.json here
or click to browse · or paste below
State of Charge
—
Battery mode
—
Savings (horizon)
—
Shadow price λ
—
marginal €/kWh stored
Control mode
—
🔋 Battery Hardware
⚡ Efficiency & Costs
☀️ PV & Optimizer
📡 Coordinator Status
🔌 Current Values
Power Schedule & SoC Trajectory
Price Forecast
PV Production & Consumption
Cost Comparison
Step-by-Step Profitability Analysis
Charge profit = λ − pbuy/√RTE − degradation per kWh. Discharge profit = psell·√RTE − λ − degradation per kWh. Green = active action · Red rows = missed discharge opportunity (profit > 0 but idle/charging).
| Step | Time | Price | Feed-in | PV kW | Consump kW | Power kW | Mode | SoC kWh | Disc profit | Chg profit |
|---|
Terminal price λ = — €/kWh (re-computed; integration may use rolling shadow price) ·
Break-even discharge: — €/kWh ·
Break-even charge: — €/kWh
Minimum Spread Analysis
How much price spread is needed for arbitrage to be profitable, given your battery parameters?
💡 Tips & Recommendations
🏷️ Entity States
| Entity ID | State | Attributes |
|---|
🔬 DP Optimizer Simulator
Run the same dynamic programming optimizer as the integration, entirely in your browser. Adjust battery parameters and forecast data, then click Run Optimizer.
Battery Parameters
Forecast Input (one row = one time step)
| # | Buy (€/kWh) | Feed-in (€/kWh) | PV (kW) | Consump (kW) |
|---|
Simulation Results
Baseline cost
—
Optimized cost
—
Savings
—
Shadow price λ
—
Terminal price
—
Power Schedule & SoC
Price Forecast with Actions
Detailed Schedule
| Step | Mode | Power (kW) | SoC before (kWh) | SoC after (kWh) | Buy price | Feed-in | Step cost (€) | Disc profit | Chg profit |
|---|
What-if: Terminal Price Sensitivity
Shows how different terminal prices would change the break-even discharge price vs. the maximum price in your forecast.
| Terminal price (λ) | Break-even discharge | Max forecast price | Discharge possible? |
|---|