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DPES Dashboard
▼ Dynamic Power Exchange System
☰ \( X_{\text{motor, 1}} \) Motor 1 Output kW 1,173.402101
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Purpose: The electrical power generated by the motor during the first track swivel.
Logic: When the track swivels, the motor disconnects from the flywheel and temporarily switches into a generator. This captures the power rate it produces during that brief disconnect window.
Type: Calculated (Math Output)
Render on Grids: None
Mathematical Formula:
$$X_{\text{motor, 1}} = P_{\text{net, in}}$$
Python Logic: v["TAR 1 New Average Charging Power (kW)"]
Live Evaluation: [ROUTE: STATIC/GLOBAL] 1,173.4021 = 1,173.4021
☰ \( E_{\text{motor, 1}} \) Energy Motor 1 (kWs) 1,173.402101
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Purpose: The total volume of electrical energy banked during the first track swivel.
Logic: Multiplies the motor's generation rate by the exact time of the lift (the disconnect window) to calculate the absolute size of the energy burst sent to the supercapacitors.
Type: Calculated (Math Output)
Render on Grids: None
Mathematical Formula:
$$E_{\text{motor, 1}} = X_{\text{motor, 1}} \times t_{\text{lift}}$$
Python Logic: v["Motor 1 Output kW"]*v["Lift Time (s)"]
Live Evaluation: [ROUTE: STATIC/GLOBAL] 1,173.4021*1.0000 = 1,173.4021
☰ \( X_{\text{motor, 2}} \) Motor 2 Output kW 1,037.530889
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Purpose: The electrical power generated by the motor during the second track swivel.
Logic: Same as the first swivel—the motor decouples, acts as a generator, and we measure the power rate it produces during this second disconnect window.
Type: Calculated (Math Output)
Render on Grids: None
Mathematical Formula:
$$X_{\text{motor, 2}} = P_{\text{net, in, 2}}$$
Python Logic: v["TAR 2 New Average Charging Power (kW)"]
Live Evaluation: [ROUTE: STATIC/GLOBAL] 1,037.5309 = 1,037.5309
☰ \( E_{\text{motor, 2}} \) Energy Motor 2 (kWs) 1,037.530889
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Purpose: The total volume of electrical energy banked during the second track swivel.
Logic: Maps the exact size of the second energy burst sent to the supercapacitors before the motor reconnects to the flywheel.
Type: Calculated (Math Output)
Render on Grids: None
Mathematical Formula:
$$E_{\text{motor, 2}} = X_{\text{motor, 2}} \times t_{\text{lift}}$$
Python Logic: v["Motor 2 Output kW"] * v["Lift Time (s)"]
Live Evaluation: [ROUTE: STATIC/GLOBAL] 1,037.5309 * 1.0000 = 1,037.5309
☰ \( \Sigma E \) Total Energy (kWs) 2,210.93299
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Purpose: The absolute total amount of electricity stored in the supercapacitors from both swivel events.
Logic: Combines the bursts from both disconnect windows into a single electrical "reservoir" ready to be recycled.
Type: Calculated (Math Output)
Render on Grids: None
Mathematical Formula:
$$\Sigma E = E_{\text{motor, 1}} + E_{\text{motor, 2}}$$
Python Logic: v["Energy Motor 1 (kWs)"] + v["Energy Motor 2 (kWs)"]
Live Evaluation: [ROUTE: STATIC/GLOBAL] 1,173.4021 + 1,037.5309 = 2,210.9330
☰ \( t_{\text{release}} \) Release time (s) 2.112069
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Purpose: The exact time window used to feed the stored energy back into the system.
Logic: We time the release to match the duration of one full machine revolution. This stretches the quick bursts of stored energy into a steady, continuous flow.
Type: Calculated (Math Output)
Render on Grids: None
Mathematical Formula:
$$t_{\text{release}} = t_{\text{run}}$$
Python Logic: v["Run time across GMEG track (s)"]
Live Evaluation: [ROUTE: STATIC/GLOBAL] 2.1121 = 2.1121
☰ \( \eta \) DPES Efficiency (%)
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Purpose: The energy lost as heat inside the supercapacitors.
Logic: Charging and discharging storage banks isn't perfectly efficient. This applies a realistic engineering penalty for the energy lost during the rapid storage and release cycle.
Type: Manual Entry
Render on Grids: None
Mathematical Formula:
Adjustable user input
Python Logic: N/A
Live Evaluation: N/A (Input Variable)
☰ \( X_{\text{output, second}} \) DPES Output per second (kW) 994.468635
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Purpose: The final, smoothed electrical power fed back into the system from the supercapacitors.
Logic: Takes the total banked energy, deducts the storage inefficiencies, and provides a perfectly flat, clean average kilowatt output that can be recycled to assist the machine during its next full lap.
Type: Calculated (Math Output)
Render on Grids: None
Mathematical Formula:
$$X_{\text{output, second}} = ( \Sigma E / t_{\text{release}} ) \times \eta$$
Python Logic: ( v["Total Energy (kWs)"] / v["Release time (s)"] ) * v["DPES Efficiency (%)"]
Live Evaluation: [ROUTE: STATIC/GLOBAL] ( 2,210.9330 / 2.1121 ) * 0.9500 = 994.4686