Systems Engineering of Energy: Calculating Glycolytic Fuel Combustion Rates

1. System Inputs and Glycolytic State Verification

We analyze the human body as a multi-input, multi-output thermodynamic system. Under this framework, Glycolytic Carbohydrate Combustion functions as the anaerobic subsystem's energy flux rate. By treating substrate depletion and lactate accumulation as system variables, we design data processing pipelines that ingest telemetry logs, estimate metabolic coefficients, and output real-time glycogen consumption rates.

When routing data from high-altitude blocks in St. Moritz or Sierra Nevada, we modify the calibration transfer functions to account for lower ambient air density. This adjustments allows our algorithms to calculate accurate EPO kinetics, blood plasma expansion, and metabolic decoupling coefficients, maintaining the integrity of our performance projections.

2. Metabolic and Training Load Formulas

To quantify the physiological stress and adaptation associated with Glycolytic Carbohydrate Combustion, we apply exponential moving average models:

Where:

• $\text{CTL}_t$ and $\text{ATL}_t$ represent Chronic and Acute Training Load, modeled using exponential decay constants of 42 days and 7 days.
• $\text{TSB}_t$ is the Training Stress Balance, predicting peak performance windows when the value shifts from negative to positive.
• $VO_2$ represents the oxygen consumption rate, calculated as a function of ventilation volumes ($V_E$) and oxygen concentration differentials.

3. Practical Coaching Implementation & Metabolic Calculation

Implementing these calculations within the training pipeline enables programmatic system optimization:

1. VLaMax Anaerobic Capacity Management: We program torque intervals to lower VLaMax, which mathematically decreases the glycolytic flux and spares glycogen reserves.
2. Heart Rate Decoupling: We monitor the divergence between the control signal (heart rate) and the mechanical output (power) to calculate the decoupling coefficient during endurance blocks.
3. W' Reconstitution Dynamics: Real-time evaluation of $W'$ depletion rates enables pacing algorithms to optimize power curves dynamically for time-trial profiles.

References

1. Journal of Sports Sciences: Biomechanical analysis and mechanical efficiency in elite cycling.
2. DIDI.BIKE Technical Reprints: High-frequency telemetry and sensor fusion calibrations.
3. UCI Cycling Regulations: Part I: General Organisation of Cycling as a Sport (Aero & Frame dimensions limits).
4. Swiss Federal Institute of Sport Magglingen: High-altitude hypoxic adaptation and cardiorespiratory kinetics.