Clearly this topic has come up before, but II can’t find an answer that actually address the question: let’s say that I start doing 4min intervals (above TP) and then recover until I’m back at 100% reserve capacity, then repeat again.
Once my MPA is fully restored, I should be able to replicate the effort again and again according to the model, which obviously is not the case in real life.
Intuitively I’d say that two things should happen:
- The MPA should decline during the course of workout or activity
- Recovery time constant should extend as the activity progresses
Clearly both of these time constants are very subjective, but I would think they are ways to extract and model that from past activities
This is easily illustrated by turning a Seiler 4x4 into a 50x4 (which I dare anyone to complete) where after 5h15m of torture the MPA is modeled to be back to 100% within a few minutes (where it would probably take weeks)
Since difficulty seems to monitor closely the energy expenditure, why not using it to adjust the effective MPA or, I’d call it MPRA (Max Power REALLY Available)?
MPA is an abstraction of the energy actually available to perform work, and it’s composed of multiple contributions from different energy systems, with different time constants: it seems like currently only the “faster” systems are modeled.
Seems like these ideas are already on your board (together with temperature and altitude impact on MPA), and I’m hoping to see them soon implemented.